######################################################## # Started Logging At: 2020-10-22 09:53:25 ######################################################## ######################################################## # # Started Logging At: 2020-10-22 09:53:27 ######################################################## get_ipython().run_line_magic('ls', 'GTC2-20AFLO') get_ipython().run_line_magic('ls', 'GTC2-20AFLO/OB0001/') get_ipython().run_line_magic('ls', 'GTC2-20AFLO/OB0001/object') files = get_ipython().getoutput('ls GTC2-20AFLO/OB0001/object') files[0] #[Out]# '0002613543-20200712-EMIR-STARE_IMAGE.fits' from astropy.io import fits filehandle = fits.open(files[0]) GTC2-20AFLO/OB0001/object get_ipython().run_line_magic('cd', 'GTC2-20AFLO/OB0001/object') files = get_ipython().getoutput('ls *fits') files[0] #[Out]# '0002613543-20200712-EMIR-STARE_IMAGE.fits' from astropy.io import fits filehandle = fits.open(files[0]) filehandle #[Out]# [] filehandle[0].header #[Out]# SIMPLE = T / file does conform to FITS standard #[Out]# BITPIX = 16 / number of bits per data pixel #[Out]# NAXIS = 2 / number of data axes #[Out]# NAXIS1 = 2048 / length of data axis 1 #[Out]# NAXIS2 = 2048 / length of data axis 2 #[Out]# EXTEND = T / FITS dataset may contain extensions #[Out]# COMMENT FITS (Flexible Image Transport System) format is defined in 'Astronomy #[Out]# COMMENT and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H #[Out]# BZERO = 32768 / offset data range to that of unsigned short #[Out]# BSCALE = 1 / default scaling factor #[Out]# DETVER = 'SCI ' / 401 Detector used: science or engineering #[Out]# NSEC = 1 / 402 Number of sequences executed at detector #[Out]# NRST = 1 / 403 Number of resets #[Out]# OPTRST = 3 / 404 Type of reset #[Out]# NIMGRST = 1 / 405 Number of reset images #[Out]# NRDBL_ND= 0 / 406 Number of non-productive reads before loop #[Out]# NRDBL = 0 / 407 Number of productive reads before loop #[Out]# NLOOP = 1 / 408 Exposure Number #[Out]# TOPER = 559 / [ms] 409 Time period in the detector sequence f #[Out]# NRDIL_ND= 8 / 410 Number of non-productibe reads per loop ite #[Out]# NRDIL = 1 / 411 Number of productive reads per loop iterati #[Out]# Y_SIZE = 1024 / 412 Offset in pixels for window mode #[Out]# Y_SIZE_B= 0 / 413 Number of readable columns (1024 - Y_SIZE) #[Out]# NPARAM_X= 0 / 414 Number of dummy readouts of a line #[Out]# GAIN = 3.3 / 416 Gain, in e-/ADU #[Out]# RON = 6.2 / 417 Read-out noise, in ADU #[Out]# VOFFSET = 0. / 418 Voff #[Out]# VRESET = 0. / 419 Vreset #[Out]# WINMODE = 0 / 420 Window mode: full, 128px #[Out]# BIASGATE= 0. / 421 Biasgate #[Out]# FIRMVER = '20023 ' / 422 Controller firmware version #[Out]# NFRSEC = 2 / 423 Frames produced per detector exposure #[Out]# FRSEC = 0 / 424 Counter of the frame sequence #[Out]# NEXP = 1 / 425 Number of detector exposures #[Out]# EXP = 1 / 426 Detector exposures counter #[Out]# TSTAMP = 1594612398 / [s] Time stamp in UTC #[Out]# READMODN= 1 / E00 Readout (numerico) mode used for the observ #[Out]# TSUTC1 = 1594612397.6684 / [s] E01 Time stamp before read detector (UTC) #[Out]# TSUTC2 = 1594612408.77522 / [s] E02 Time stamp after read detector (UTC) #[Out]# TSUTCD = 11.1068141460419 / [s] E03 Diff. between TSUTC2 and TSUTC1 #[Out]# ITER_NUM= 1 / E04 frame counter #[Out]# FRSTAT = 2 / E05 status 0=START,1=RUN,2=END,3=ABR,4=ERR #[Out]# APPNAME = '/work/gcsop/etc/config/emir/lods/33-18_SDSU2_MUX_v20_UNIX.lod' / E06 #[Out]# WINDCOV = 1 / Window blind status (OPEN/CLOSE) #[Out]# WINDOW = 1 / Window status (OPEN/CLOSE) #[Out]# XDTU_C = -999.9990234375 / X Absolute position commanded to DTU. If not -9 #[Out]# YDTU_C = -999.9990234375 / Y Absolute position commanded to DTU. If not -9 #[Out]# ZDTU_C = -999.9990234375 / Z Absolute position commanded to DTU. If not -9 #[Out]# XDTU_F = 0.922918 / DTU-X Scale Factor #[Out]# YDTU_F = 0.971815 / DTU-Y Scale Factor #[Out]# ZDTU_F = 1. / DTU-Z Scale Factor #[Out]# CSUP1 = 0.488999992609024 / CSU current position #[Out]# CSUP2 = 0.492000013589859 / CSU current position #[Out]# CSUP3 = 0.495000004768372 / CSU current position #[Out]# CSUP4 = 0.493999987840652 / CSU current position #[Out]# CSUP5 = 0.493000000715256 / CSU current position #[Out]# CSUP6 = 0.493000000715256 / CSU current position #[Out]# CSUP7 = 0.492000013589859 / CSU current position #[Out]# CSUP8 = 0.495999991893768 / CSU current position #[Out]# CSUP9 = 0.49099999666214 / CSU current position #[Out]# CSUP10 = 0.495000004768372 / CSU current position #[Out]# CSUP11 = 0.492000013589859 / CSU current position #[Out]# CSUP12 = 0.508000016212463 / CSU current position #[Out]# CSUP13 = 0.493000000715256 / CSU current position #[Out]# CSUP14 = 0.493000000715256 / CSU current position #[Out]# CSUP15 = 0.490000009536743 / CSU current position #[Out]# CSUP16 = 0.493000000715256 / CSU current position #[Out]# CSUP17 = 0.497000008821487 / CSU current position #[Out]# CSUP18 = 0.493000000715256 / CSU current position #[Out]# CSUP19 = 0.493000000715256 / CSU current position #[Out]# CSUP20 = 0.493000000715256 / CSU current position #[Out]# CSUP21 = 0.49099999666214 / CSU current position #[Out]# CSUP22 = 0.493000000715256 / CSU current position #[Out]# CSUP23 = 0.493000000715256 / CSU current position #[Out]# CSUP24 = 0.492000013589859 / CSU current position #[Out]# CSUP25 = 0.49099999666214 / CSU current position #[Out]# CSUP26 = 0.49099999666214 / CSU current position #[Out]# CSUP27 = 0.493000000715256 / CSU current position #[Out]# CSUP28 = 0.493999987840652 / CSU current position #[Out]# CSUP29 = 0.492000013589859 / CSU current position #[Out]# CSUP30 = 0.493000000715256 / CSU current position #[Out]# CSUP31 = 0.49099999666214 / CSU current position #[Out]# CSUP32 = 0.495000004768372 / CSU current position #[Out]# CSUP33 = 0.493000000715256 / CSU current position #[Out]# CSUP34 = 0.493999987840652 / CSU current position #[Out]# CSUP35 = 0.49099999666214 / CSU current position #[Out]# CSUP36 = 0.49099999666214 / CSU current position #[Out]# CSUP37 = 0.492000013589859 / CSU current position #[Out]# CSUP38 = 0.493000000715256 / CSU current position #[Out]# CSUP39 = 0.493000000715256 / CSU current position #[Out]# CSUP40 = 0.49099999666214 / CSU current position #[Out]# CSUP41 = 0.49099999666214 / CSU current position #[Out]# CSUP42 = 0.493999987840652 / CSU current position #[Out]# CSUP43 = 0.493000000715256 / CSU current position #[Out]# CSUP44 = 0.493999987840652 / CSU current position #[Out]# CSUP45 = 0.493000000715256 / CSU current position #[Out]# CSUP46 = 0.493000000715256 / CSU current position #[Out]# CSUP47 = 0.493000000715256 / CSU current position #[Out]# CSUP48 = 0.497000008821487 / CSU current position #[Out]# CSUP49 = 0.493000000715256 / CSU current position #[Out]# CSUP50 = 0.493999987840652 / CSU current position #[Out]# CSUP51 = 0.493000000715256 / CSU current position #[Out]# CSUP52 = 0.492000013589859 / CSU current position #[Out]# CSUP53 = 0.493999987840652 / CSU current position #[Out]# CSUP54 = 0.493999987840652 / CSU current position #[Out]# CSUP55 = 0.493000000715256 / CSU current position #[Out]# CSUP56 = 0.49099999666214 / CSU current position #[Out]# CSUP57 = 0.493000000715256 / CSU current position #[Out]# CSUP58 = 0.492000013589859 / CSU current position #[Out]# CSUP59 = 0.493000000715256 / CSU current position #[Out]# CSUP60 = 0.492000013589859 / CSU current position #[Out]# CSUP61 = 0.493999987840652 / CSU current position #[Out]# CSUP62 = 0.493000000715256 / CSU current position #[Out]# CSUP63 = 0.493000000715256 / CSU current position #[Out]# CSUP64 = 0.492000013589859 / CSU current position #[Out]# CSUP65 = 0.493000000715256 / CSU current position #[Out]# CSUP66 = 0.492000013589859 / CSU current position #[Out]# CSUP67 = 0.493000000715256 / CSU current position #[Out]# CSUP68 = 0.488999992609024 / CSU current position #[Out]# CSUP69 = 0.507000029087067 / CSU current position #[Out]# CSUP70 = 0.490000009536743 / CSU current position #[Out]# CSUP71 = 0.493000000715256 / CSU current position #[Out]# CSUP72 = 0.493000000715256 / CSU current position #[Out]# CSUP73 = 0.492000013589859 / CSU current position #[Out]# CSUP74 = 0.488999992609024 / CSU current position #[Out]# CSUP75 = 0.493000000715256 / CSU current position #[Out]# CSUP76 = 0.490000009536743 / CSU current position #[Out]# CSUP77 = 0.495999991893768 / CSU current position #[Out]# CSUP78 = 0.49099999666214 / CSU current position #[Out]# CSUP79 = 0.493000000715256 / CSU current position #[Out]# CSUP80 = 0.493000000715256 / CSU current position #[Out]# CSUP81 = 0.495000004768372 / CSU current position #[Out]# CSUP82 = 0.488000005483627 / CSU current position #[Out]# CSUP83 = 0.493999987840652 / CSU current position #[Out]# CSUP84 = 0.492000013589859 / CSU current position #[Out]# CSUP85 = 0.50900000333786 / CSU current position #[Out]# CSUP86 = 0.49099999666214 / CSU current position #[Out]# CSUP87 = 0.495999991893768 / CSU current position #[Out]# CSUP88 = 0.492000013589859 / CSU current position #[Out]# CSUP89 = 0.493000000715256 / CSU current position #[Out]# CSUP90 = 0.488999992609024 / CSU current position #[Out]# CSUP91 = 0.493999987840652 / CSU current position #[Out]# CSUP92 = 0.488999992609024 / CSU current position #[Out]# CSUP93 = 0.493000000715256 / CSU current position #[Out]# CSUP94 = 0.493000000715256 / CSU current position #[Out]# CSUP95 = 0.493000000715256 / CSU current position #[Out]# CSUP96 = 0.492000013589859 / CSU current position #[Out]# CSUP97 = 0.497000008821487 / CSU current position #[Out]# CSUP98 = 0.492000013589859 / CSU current position #[Out]# CSUP99 = 0.493999987840652 / CSU current position #[Out]# CSUP100 = 0.490000009536743 / CSU current position #[Out]# CSUP101 = 0.493999987840652 / CSU current position #[Out]# CSUP102 = 0.490000009536743 / CSU current position #[Out]# CSUP103 = 0.493999987840652 / CSU current position #[Out]# CSUP104 = 0.492000013589859 / CSU current position #[Out]# CSUP105 = 0.495000004768372 / CSU current position #[Out]# CSUP106 = 0.493000000715256 / CSU current position #[Out]# CSUP107 = 0.492000013589859 / CSU current position #[Out]# CSUP108 = 0.492000013589859 / CSU current position #[Out]# CSUP109 = 0.493000000715256 / CSU current position #[Out]# CSUP110 = 0.490000009536743 / CSU current position #[Out]# CS_0 = 10000. / CSU bars sensors #[Out]# CS_1 = 10000. / CSU bars sensors #[Out]# CS_2 = 10000. / CSU bars sensors #[Out]# CS_3 = 10000. / CSU bars sensors #[Out]# CS_4 = 10000. / CSU bars sensors #[Out]# CS_5 = 10000. / CSU bars sensors #[Out]# CS_6 = 10000. / CSU bars sensors #[Out]# CS_7 = 10000. / CSU bars sensors #[Out]# CS_8 = 10000. / CSU bars sensors #[Out]# CS_9 = 10000. / CSU bars sensors #[Out]# CS_10 = 10000. / CSU bars sensors #[Out]# CS_11 = 10000. / CSU bars sensors #[Out]# CS_12 = 10000. / CSU bars sensors #[Out]# CS_13 = 10000. / CSU bars sensors #[Out]# CS_14 = 10000. / CSU bars sensors #[Out]# CS_15 = 10000. / CSU bars sensors #[Out]# CS_16 = 10000. / CSU bars sensors #[Out]# CS_17 = 10000. / CSU bars sensors #[Out]# CS_18 = 10000. / CSU bars sensors #[Out]# CS_19 = 10000. / CSU bars sensors #[Out]# CS_20 = 10000. / CSU bars sensors #[Out]# CS_21 = 10000. / CSU bars sensors #[Out]# CS_22 = 10000. / CSU bars sensors #[Out]# CS_23 = 10000. / CSU bars sensors #[Out]# CS_24 = 10000. / CSU bars sensors #[Out]# CS_25 = 10000. / CSU bars sensors #[Out]# CS_26 = 10000. / CSU bars sensors #[Out]# CS_27 = 10000. / CSU bars sensors #[Out]# CS_28 = 10000. / CSU bars sensors #[Out]# CS_29 = 10000. / CSU bars sensors #[Out]# CS_30 = 10000. / CSU bars sensors #[Out]# CS_31 = 10000. / CSU bars sensors #[Out]# CS_32 = 10000. / CSU bars sensors #[Out]# CS_33 = 10000. / CSU bars sensors #[Out]# CS_34 = 10000. / CSU bars sensors #[Out]# CS_35 = 10000. / CSU bars sensors #[Out]# CS_36 = 10000. / CSU bars sensors #[Out]# CS_37 = 10000. / CSU bars sensors #[Out]# CS_38 = 10000. / CSU bars sensors #[Out]# CS_39 = 10000. / CSU bars sensors #[Out]# CS_40 = 10000. / CSU bars sensors #[Out]# CS_41 = 10000. / CSU bars sensors #[Out]# CS_42 = 10000. / CSU bars sensors #[Out]# CS_43 = 10000. / CSU bars sensors #[Out]# CS_44 = 10000. / CSU bars sensors #[Out]# CS_45 = 10000. / CSU bars sensors #[Out]# CS_46 = 10000. / CSU bars sensors #[Out]# CS_47 = 10000. / CSU bars sensors #[Out]# CS_48 = 10000. / CSU bars sensors #[Out]# CS_49 = 10000. / CSU bars sensors #[Out]# CS_50 = 10000. / CSU bars sensors #[Out]# CS_51 = 10000. / CSU bars sensors #[Out]# CS_52 = 10000. / CSU bars sensors #[Out]# CS_53 = 10000. / CSU bars sensors #[Out]# CS_54 = 10000. / CSU bars sensors #[Out]# CS_55 = 10000. / CSU bars sensors #[Out]# CS_56 = 10000. / CSU bars sensors #[Out]# CS_57 = 10000. / CSU bars sensors #[Out]# CS_58 = 10000. / CSU bars sensors #[Out]# CS_59 = 10000. / CSU bars sensors #[Out]# CS_60 = 10000. / CSU bars sensors #[Out]# CS_61 = 10000. / CSU bars sensors #[Out]# CS_62 = 10000. / CSU bars sensors #[Out]# CS_63 = 10000. / CSU bars sensors #[Out]# CS_64 = 10000. / CSU bars sensors #[Out]# CS_65 = 10000. / CSU bars sensors #[Out]# CS_66 = 10000. / CSU bars sensors #[Out]# CS_67 = 10000. / CSU bars sensors #[Out]# CS_68 = 10000. / CSU bars sensors #[Out]# CS_69 = 10000. / CSU bars sensors #[Out]# CS_70 = 10000. / CSU bars sensors #[Out]# CS_71 = 10000. / CSU bars sensors #[Out]# CS_72 = 10000. / CSU bars sensors #[Out]# CS_73 = 10000. / CSU bars sensors #[Out]# CS_74 = 10000. / CSU bars sensors #[Out]# CS_75 = 10000. / CSU bars sensors #[Out]# CS_76 = 10000. / CSU bars sensors #[Out]# CS_77 = 10000. / CSU bars sensors #[Out]# CS_78 = 10000. / CSU bars sensors #[Out]# CS_79 = 10000. / CSU bars sensors #[Out]# CS_80 = 10000. / CSU bars sensors #[Out]# CS_81 = 10000. / CSU bars sensors #[Out]# CS_82 = 10000. / CSU bars sensors #[Out]# CS_83 = 10000. / CSU bars sensors #[Out]# CS_84 = 10000. / CSU bars sensors #[Out]# CS_85 = 10000. / CSU bars sensors #[Out]# CS_86 = 10000. / CSU bars sensors #[Out]# CS_87 = 10000. / CSU bars sensors #[Out]# CS_88 = 10000. / CSU bars sensors #[Out]# CS_89 = 10000. / CSU bars sensors #[Out]# CS_90 = 10000. / CSU bars sensors #[Out]# CS_91 = 10000. / CSU bars sensors #[Out]# CS_92 = 10000. / CSU bars sensors #[Out]# CS_93 = 10000. / CSU bars sensors #[Out]# CS_94 = 10000. / CSU bars sensors #[Out]# CS_95 = 10000. / CSU bars sensors #[Out]# CS_96 = 10000. / CSU bars sensors #[Out]# CS_97 = 10000. / CSU bars sensors #[Out]# CS_98 = 10000. / CSU bars sensors #[Out]# CS_99 = 10000. / CSU bars sensors #[Out]# CS_100 = 10000. / CSU bars sensors #[Out]# CS_101 = 10000. / CSU bars sensors #[Out]# CS_102 = 10000. / CSU bars sensors #[Out]# CS_103 = 10000. / CSU bars sensors #[Out]# CS_104 = 10000. / CSU bars sensors #[Out]# CS_105 = 10000. / CSU bars sensors #[Out]# CS_106 = 10000. / CSU bars sensors #[Out]# CS_107 = 10000. / CSU bars sensors #[Out]# CS_108 = 10000. / CSU bars sensors #[Out]# CS_109 = 10000. / CSU bars sensors #[Out]# CS_110 = 10000. / CSU bars sensors #[Out]# CS_111 = 10000. / CSU bars sensors #[Out]# CS_112 = 10000. / CSU bars sensors #[Out]# CS_113 = 10000. / CSU bars sensors #[Out]# CS_114 = 10000. / CSU bars sensors #[Out]# CS_115 = 10000. / CSU bars sensors #[Out]# CS_116 = 10000. / CSU bars sensors #[Out]# CS_117 = 10000. / CSU bars sensors #[Out]# CS_118 = 10000. / CSU bars sensors #[Out]# CS_119 = 10000. / CSU bars sensors #[Out]# CS_120 = 10000. / CSU bars sensors #[Out]# CS_121 = 10000. / CSU bars sensors #[Out]# CS_122 = 10000. / CSU bars sensors #[Out]# CS_123 = 10000. / CSU bars sensors #[Out]# CS_124 = 10000. / CSU bars sensors #[Out]# CS_125 = 10000. / CSU bars sensors #[Out]# CS_126 = 10000. / CSU bars sensors #[Out]# CS_127 = 10000. / CSU bars sensors #[Out]# CS_128 = 10000. / CSU bars sensors #[Out]# CS_129 = 10000. / CSU bars sensors #[Out]# CS_130 = 10000. / CSU bars sensors #[Out]# CS_131 = 10000. / CSU bars sensors #[Out]# CS_132 = 10000. / CSU bars sensors #[Out]# CS_133 = 10000. / CSU bars sensors #[Out]# CS_134 = 10000. / CSU bars sensors #[Out]# CS_135 = 10000. / CSU bars sensors #[Out]# CS_136 = 10000. / CSU bars sensors #[Out]# CS_137 = 10000. / CSU bars sensors #[Out]# CS_138 = 10000. / CSU bars sensors #[Out]# CS_139 = 10000. / CSU bars sensors #[Out]# CS_140 = 10000. / CSU bars sensors #[Out]# CS_141 = 10000. / CSU bars sensors #[Out]# CS_142 = 10000. / CSU bars sensors #[Out]# CS_143 = 10000. / CSU bars sensors #[Out]# CS_144 = 10000. / CSU bars sensors #[Out]# CS_145 = 10000. / CSU bars sensors #[Out]# CS_146 = 10000. / CSU bars sensors #[Out]# CS_147 = 10000. / CSU bars sensors #[Out]# CS_148 = 10000. / CSU bars sensors #[Out]# CS_149 = 10000. / CSU bars sensors #[Out]# CS_150 = 10000. / CSU bars sensors #[Out]# CS_151 = 10000. / CSU bars sensors #[Out]# CS_152 = 10000. / CSU bars sensors #[Out]# CS_153 = 10000. / CSU bars sensors #[Out]# CS_154 = 10000. / CSU bars sensors #[Out]# CS_155 = 10000. / CSU bars sensors #[Out]# CS_156 = 10000. / CSU bars sensors #[Out]# CS_157 = 10000. / CSU bars sensors #[Out]# CS_158 = 10000. / CSU bars sensors #[Out]# CS_159 = 10000. / CSU bars sensors #[Out]# CS_160 = 10000. / CSU bars sensors #[Out]# CS_161 = 10000. / CSU bars sensors #[Out]# CS_162 = 10000. / CSU bars sensors #[Out]# CS_163 = 10000. / CSU bars sensors #[Out]# CS_164 = 10000. / CSU bars sensors #[Out]# CS_165 = 10000. / CSU bars sensors #[Out]# CS_166 = 10000. / CSU bars sensors #[Out]# CS_167 = 10000. / CSU bars sensors #[Out]# CS_168 = 10000. / CSU bars sensors #[Out]# CS_169 = 10000. / CSU bars sensors #[Out]# CS_170 = 10000. / CSU bars sensors #[Out]# CS_171 = 10000. / CSU bars sensors #[Out]# CS_172 = 10000. / CSU bars sensors #[Out]# CS_173 = 10000. / CSU bars sensors #[Out]# CS_174 = 10000. / CSU bars sensors #[Out]# CS_175 = 10000. / CSU bars sensors #[Out]# CS_176 = 10000. / CSU bars sensors #[Out]# CS_177 = 10000. / CSU bars sensors #[Out]# CS_178 = 10000. / CSU bars sensors #[Out]# CS_179 = 10000. / CSU bars sensors #[Out]# CS_180 = 10000. / CSU bars sensors #[Out]# CS_181 = 10000. / CSU bars sensors #[Out]# CS_182 = 10000. / CSU bars sensors #[Out]# CS_183 = 10000. / CSU bars sensors #[Out]# CS_184 = 10000. / CSU bars sensors #[Out]# CS_185 = 10000. / CSU bars sensors #[Out]# CS_186 = 10000. / CSU bars sensors #[Out]# CS_187 = 10000. / CSU bars sensors #[Out]# CS_188 = 10000. / CSU bars sensors #[Out]# CS_189 = 10000. / CSU bars sensors #[Out]# CS_190 = 10000. / CSU bars sensors #[Out]# CS_191 = 10000. / CSU bars sensors #[Out]# CS_192 = 10000. / CSU bars sensors #[Out]# CS_193 = 10000. / CSU bars sensors #[Out]# CS_194 = 10000. / CSU bars sensors #[Out]# CS_195 = 10000. / CSU bars sensors #[Out]# CS_196 = 10000. / CSU bars sensors #[Out]# CS_197 = 10000. / CSU bars sensors #[Out]# CS_198 = 10000. / CSU bars sensors #[Out]# CS_199 = 10000. / CSU bars sensors #[Out]# CS_200 = 10000. / CSU bars sensors #[Out]# CS_201 = 10000. / CSU bars sensors #[Out]# CS_202 = 10000. / CSU bars sensors #[Out]# CS_203 = 10000. / CSU bars sensors #[Out]# CS_204 = 10000. / CSU bars sensors #[Out]# CS_205 = 10000. / CSU bars sensors #[Out]# CS_206 = 10000. / CSU bars sensors #[Out]# CS_207 = 10000. / CSU bars sensors #[Out]# CS_208 = 10000. / CSU bars sensors #[Out]# CS_209 = 10000. / CSU bars sensors #[Out]# CS_210 = 10000. / CSU bars sensors #[Out]# CS_211 = 10000. / CSU bars sensors #[Out]# CS_212 = 10000. / CSU bars sensors #[Out]# CS_213 = 10000. / CSU bars sensors #[Out]# CS_214 = 10000. / CSU bars sensors #[Out]# CS_215 = 10000. / CSU bars sensors #[Out]# CS_216 = 10000. / CSU bars sensors #[Out]# CS_217 = 10000. / CSU bars sensors #[Out]# CS_218 = 10000. / CSU bars sensors #[Out]# CS_219 = 10000. / CSU bars sensors #[Out]# CS_220 = 10000. / CSU bars sensors #[Out]# CS_221 = 10000. / CSU bars sensors #[Out]# CS_222 = 10000. / CSU bars sensors #[Out]# CS_223 = 10000. / CSU bars sensors #[Out]# CS_224 = 10000. / CSU bars sensors #[Out]# CS_225 = 10000. / CSU bars sensors #[Out]# CS_226 = 10000. / CSU bars sensors #[Out]# CS_227 = 10000. / CSU bars sensors #[Out]# CS_228 = 10000. / CSU bars sensors #[Out]# CS_229 = 10000. / CSU bars sensors #[Out]# CS_230 = 10000. / CSU bars sensors #[Out]# CS_231 = 10000. / CSU bars sensors #[Out]# CS_232 = 10000. / CSU bars sensors #[Out]# CS_233 = 10000. / CSU bars sensors #[Out]# CS_234 = 10000. / CSU bars sensors #[Out]# CS_235 = 10000. / CSU bars sensors #[Out]# CS_236 = 10000. / CSU bars sensors #[Out]# CS_237 = 10000. / CSU bars sensors #[Out]# CS_238 = 10000. / CSU bars sensors #[Out]# CS_239 = 10000. / CSU bars sensors #[Out]# CS_240 = 10000. / CSU bars sensors #[Out]# CS_241 = 10000. / CSU bars sensors #[Out]# CS_242 = 10000. / CSU bars sensors #[Out]# CS_243 = 10000. / CSU bars sensors #[Out]# CS_244 = 10000. / CSU bars sensors #[Out]# CS_245 = 10000. / CSU bars sensors #[Out]# CS_246 = 10000. / CSU bars sensors #[Out]# CS_247 = 10000. / CSU bars sensors #[Out]# CS_248 = 10000. / CSU bars sensors #[Out]# CS_249 = 10000. / CSU bars sensors #[Out]# CS_250 = 10000. / CSU bars sensors #[Out]# CS_251 = 10000. / CSU bars sensors #[Out]# CS_252 = 10000. / CSU bars sensors #[Out]# CS_253 = 10000. / CSU bars sensors #[Out]# CS_254 = 10000. / CSU bars sensors #[Out]# CS_255 = 10000. / CSU bars sensors #[Out]# CS_256 = 10000. / CSU bars sensors #[Out]# CS_257 = 10000. / CSU bars sensors #[Out]# CS_258 = 10000. / CSU bars sensors #[Out]# CS_259 = 10000. / CSU bars sensors #[Out]# CS_260 = 10000. / CSU bars sensors #[Out]# CS_261 = 10000. / CSU bars sensors #[Out]# CS_262 = 10000. / CSU bars sensors #[Out]# CS_263 = 10000. / CSU bars sensors #[Out]# CS_264 = 10000. / CSU bars sensors #[Out]# CS_265 = 10000. / CSU bars sensors #[Out]# CS_266 = 10000. / CSU bars sensors #[Out]# CS_267 = 10000. / CSU bars sensors #[Out]# CS_268 = 10000. / CSU bars sensors #[Out]# CS_269 = 10000. / CSU bars sensors #[Out]# CS_270 = 10000. / CSU bars sensors #[Out]# CS_271 = 10000. / CSU bars sensors #[Out]# CS_272 = 10000. / CSU bars sensors #[Out]# CS_273 = 10000. / CSU bars sensors #[Out]# CS_274 = 10000. / CSU bars sensors #[Out]# CS_275 = 10000. / CSU bars sensors #[Out]# CS_276 = 10000. / CSU bars sensors #[Out]# CS_277 = 10000. / CSU bars sensors #[Out]# CS_278 = 10000. / CSU bars sensors #[Out]# CS_279 = 10000. / CSU bars sensors #[Out]# CS_280 = 10000. / CSU bars sensors #[Out]# CS_281 = 10000. / CSU bars sensors #[Out]# CS_282 = 10000. / CSU bars sensors #[Out]# CS_283 = 10000. / CSU bars sensors #[Out]# CS_284 = 10000. / CSU bars sensors #[Out]# CS_285 = 10000. / CSU bars sensors #[Out]# CS_286 = 10000. / CSU bars sensors #[Out]# CS_287 = 10000. / CSU bars sensors #[Out]# CS_288 = 10000. / CSU bars sensors #[Out]# CS_289 = 10000. / CSU bars sensors #[Out]# CS_290 = 10000. / CSU bars sensors #[Out]# CS_291 = 10000. / CSU bars sensors #[Out]# CS_292 = 10000. / CSU bars sensors #[Out]# CS_293 = 10000. / CSU bars sensors #[Out]# CS_294 = 10000. / CSU bars sensors #[Out]# CS_295 = 10000. / CSU bars sensors #[Out]# CS_296 = 10000. / CSU bars sensors #[Out]# CS_297 = 10000. / CSU bars sensors #[Out]# CS_298 = 10000. / CSU bars sensors #[Out]# CS_299 = 10000. / CSU bars sensors #[Out]# CS_300 = 10000. / CSU bars sensors #[Out]# CS_301 = 10000. / CSU bars sensors #[Out]# CS_302 = 10000. / CSU bars sensors #[Out]# CS_303 = 10000. / CSU bars sensors #[Out]# CS_304 = 10000. / CSU bars sensors #[Out]# CS_305 = 10000. / CSU bars sensors #[Out]# CS_306 = 10000. / CSU bars sensors #[Out]# CS_307 = 10000. / CSU bars sensors #[Out]# CS_308 = 10000. / CSU bars sensors #[Out]# CS_309 = 10000. / CSU bars sensors #[Out]# CS_310 = 10000. / CSU bars sensors #[Out]# CS_311 = 10000. / CSU bars sensors #[Out]# CS_312 = 10000. / CSU bars sensors #[Out]# CS_313 = 10000. / CSU bars sensors #[Out]# CS_314 = 10000. / CSU bars sensors #[Out]# CS_315 = 10000. / CSU bars sensors #[Out]# CS_316 = 10000. / CSU bars sensors #[Out]# CS_317 = 10000. / CSU bars sensors #[Out]# CS_318 = 10000. / CSU bars sensors #[Out]# CS_319 = 10000. / CSU bars sensors #[Out]# CS_320 = 10000. / CSU bars sensors #[Out]# CS_321 = 10000. / CSU bars sensors #[Out]# CS_322 = 10000. / CSU bars sensors #[Out]# CS_323 = 10000. / CSU bars sensors #[Out]# CS_324 = 10000. / CSU bars sensors #[Out]# CS_325 = 10000. / CSU bars sensors #[Out]# CS_326 = 10000. / CSU bars sensors #[Out]# CS_327 = 10000. / CSU bars sensors #[Out]# CS_328 = 10000. / CSU bars sensors #[Out]# CS_329 = 10000. / CSU bars sensors #[Out]# CS_330 = 10000. / CSU bars sensors #[Out]# CS_331 = 10000. / CSU bars sensors #[Out]# CS_332 = 10000. / CSU bars sensors #[Out]# CS_333 = 10000. / CSU bars sensors #[Out]# CS_334 = 10000. / CSU bars sensors #[Out]# CS_335 = 10000. / CSU bars sensors #[Out]# CS_336 = 10000. / CSU bars sensors #[Out]# CS_337 = 10000. / CSU bars sensors #[Out]# CS_338 = 10000. / CSU bars sensors #[Out]# CS_339 = 10000. / CSU bars sensors #[Out]# CS_340 = 10000. / CSU bars sensors #[Out]# CS_341 = 10000. / CSU bars sensors #[Out]# CS_342 = 10000. / CSU bars sensors #[Out]# CS_343 = 10000. / CSU bars sensors #[Out]# CS_344 = 10000. / CSU bars sensors #[Out]# CS_345 = 10000. / CSU bars sensors #[Out]# CS_346 = 10000. / CSU bars sensors #[Out]# CS_347 = 10000. / CSU bars sensors #[Out]# CS_348 = 10000. / CSU bars sensors #[Out]# CS_349 = 10000. / CSU bars sensors #[Out]# CS_350 = 10000. / CSU bars sensors #[Out]# CS_351 = 10000. / CSU bars sensors #[Out]# CS_352 = 10000. / CSU bars sensors #[Out]# CS_353 = 10000. / CSU bars sensors #[Out]# CS_354 = 10000. / CSU bars sensors #[Out]# CS_355 = 10000. / CSU bars sensors #[Out]# CS_356 = 10000. / CSU bars sensors #[Out]# CS_357 = 10000. / CSU bars sensors #[Out]# CS_358 = 10000. / CSU bars sensors #[Out]# CS_359 = 10000. / CSU bars sensors #[Out]# CS_360 = 10000. / CSU bars sensors #[Out]# CS_361 = 10000. / CSU bars sensors #[Out]# CS_362 = 10000. / CSU bars sensors #[Out]# CS_363 = 10000. / CSU bars sensors #[Out]# CS_364 = 10000. / CSU bars sensors #[Out]# CS_365 = 10000. / CSU bars sensors #[Out]# CS_366 = 10000. / CSU bars sensors #[Out]# CS_367 = 10000. / CSU bars sensors #[Out]# CS_368 = 10000. / CSU bars sensors #[Out]# CS_369 = 10000. / CSU bars sensors #[Out]# CS_370 = 10000. / CSU bars sensors #[Out]# CS_371 = 10000. / CSU bars sensors #[Out]# CS_372 = 10000. / CSU bars sensors #[Out]# CS_373 = 10000. / CSU bars sensors #[Out]# CS_374 = 10000. / CSU bars sensors #[Out]# CS_375 = 10000. / CSU bars sensors #[Out]# CS_376 = 10000. / CSU bars sensors #[Out]# CS_377 = 10000. / CSU bars sensors #[Out]# CS_378 = 10000. / CSU bars sensors #[Out]# CS_379 = 10000. / CSU bars sensors #[Out]# CS_380 = 10000. / CSU bars sensors #[Out]# CS_381 = 10000. / CSU bars sensors #[Out]# CS_382 = 10000. / CSU bars sensors #[Out]# CS_383 = 10000. / CSU bars sensors #[Out]# CS_384 = 10000. / CSU bars sensors #[Out]# CS_385 = 10000. / CSU bars sensors #[Out]# CS_386 = 10000. / CSU bars sensors #[Out]# CS_387 = 10000. / CSU bars sensors #[Out]# CS_388 = 10000. / CSU bars sensors #[Out]# CS_389 = 10000. / CSU bars sensors #[Out]# CS_390 = 10000. / CSU bars sensors #[Out]# CS_391 = 10000. / CSU bars sensors #[Out]# CS_392 = 10000. / CSU bars sensors #[Out]# CS_393 = 10000. / CSU bars sensors #[Out]# CS_394 = 10000. / CSU bars sensors #[Out]# CS_395 = 10000. / CSU bars sensors #[Out]# CS_396 = 10000. / CSU bars sensors #[Out]# CS_397 = 10000. / CSU bars sensors #[Out]# CS_398 = 10000. / CSU bars sensors #[Out]# CS_399 = 10000. / CSU bars sensors #[Out]# CS_400 = 10000. / CSU bars sensors #[Out]# CS_401 = 10000. / CSU bars sensors #[Out]# CS_402 = 10000. / CSU bars sensors #[Out]# CS_403 = 10000. / CSU bars sensors #[Out]# CS_404 = 10000. / CSU bars sensors #[Out]# CS_405 = 10000. / CSU bars sensors #[Out]# CS_406 = 10000. / CSU bars sensors #[Out]# CS_407 = 10000. / CSU bars sensors #[Out]# CS_408 = 10000. / CSU bars sensors #[Out]# CS_409 = 10000. / CSU bars sensors #[Out]# CS_410 = 10000. / CSU bars sensors #[Out]# CS_411 = 10000. / CSU bars sensors #[Out]# CS_412 = 10000. / CSU bars sensors #[Out]# CS_413 = 10000. / CSU bars sensors #[Out]# CS_414 = 10000. / CSU bars sensors #[Out]# CS_415 = 10000. / CSU bars sensors #[Out]# CS_416 = 10000. / CSU bars sensors #[Out]# CS_417 = 10000. / CSU bars sensors #[Out]# CS_418 = 10000. / CSU bars sensors #[Out]# CS_419 = 10000. / CSU bars sensors #[Out]# CS_420 = 10000. / CSU bars sensors #[Out]# CS_421 = 10000. / CSU bars sensors #[Out]# CS_422 = 10000. / CSU bars sensors #[Out]# CS_423 = 10000. / CSU bars sensors #[Out]# CS_424 = 10000. / CSU bars sensors #[Out]# CS_425 = 10000. / CSU bars sensors #[Out]# CS_426 = 10000. / CSU bars sensors #[Out]# CS_427 = 10000. / CSU bars sensors #[Out]# CS_428 = 10000. / CSU bars sensors #[Out]# CS_429 = 10000. / CSU bars sensors #[Out]# CS_430 = 10000. / CSU bars sensors #[Out]# CS_431 = 10000. / CSU bars sensors #[Out]# CS_432 = 10000. / CSU bars sensors #[Out]# CS_433 = 10000. / CSU bars sensors #[Out]# CS_434 = 10000. / CSU bars sensors #[Out]# CS_435 = 10000. / CSU bars sensors #[Out]# CS_436 = 10000. / CSU bars sensors #[Out]# CS_437 = 10000. / CSU bars sensors #[Out]# CS_438 = 10000. / CSU bars sensors #[Out]# CS_439 = 10000. / CSU bars sensors #[Out]# SLIFL1 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL2 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL3 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL4 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL5 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL6 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL7 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL8 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL9 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL10 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL11 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL12 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL13 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL14 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL15 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL16 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL17 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL18 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL19 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL20 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL21 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL22 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL23 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL24 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL25 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL26 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL27 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL28 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL29 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL30 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL31 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL32 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL33 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL34 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL35 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL36 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL37 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL38 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL39 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL40 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL41 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL42 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL43 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL44 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL45 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL46 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL47 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL48 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL49 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL50 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL51 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL52 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL53 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL54 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL55 = 0 / Slit flag for assigned or reference slits #[Out]# XVSLI1 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI2 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI3 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI4 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI5 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI6 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI7 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI8 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI9 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI10 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI11 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI12 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI13 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI14 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI15 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI16 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI17 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI18 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI19 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI20 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI21 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI22 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI23 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI24 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI25 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI26 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI27 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI28 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI29 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI30 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI31 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI32 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI33 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI34 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI35 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI36 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI37 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI38 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI39 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI40 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI41 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI42 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI43 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI44 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI45 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI46 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI47 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI48 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI49 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI50 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI51 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI52 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI53 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI54 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI55 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI1 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI2 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI3 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI4 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI5 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI6 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI7 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI8 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI9 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI10 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI11 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI12 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI13 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI14 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI15 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI16 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI17 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI18 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI19 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI20 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI21 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI22 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI23 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI24 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI25 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI26 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI27 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI28 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI29 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI30 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI31 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI32 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI33 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI34 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI35 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI36 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI37 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI38 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI39 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI40 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI41 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI42 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI43 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI44 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI45 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI46 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI47 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI48 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI49 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI50 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI51 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI52 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI53 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI54 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI55 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# XRSLI1 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI2 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI3 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI4 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI5 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI6 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI7 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI8 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI9 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI10 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI11 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI12 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI13 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI14 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI15 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI16 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI17 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI18 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI19 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI20 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI21 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI22 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI23 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI24 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI25 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI26 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI27 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI28 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI29 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI30 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI31 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI32 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI33 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI34 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI35 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI36 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI37 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI38 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI39 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI40 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI41 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI42 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI43 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI44 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI45 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI46 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI47 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI48 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI49 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI50 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI51 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI52 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI53 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI54 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI55 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI1 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI2 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI3 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI4 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI5 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI6 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI7 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI8 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI9 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI10 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI11 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI12 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI13 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI14 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI15 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI16 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI17 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI18 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI19 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI20 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI21 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI22 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI23 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI24 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI25 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI26 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI27 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI28 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI29 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI30 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI31 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI32 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI33 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI34 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI35 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI36 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI37 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI38 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI39 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI40 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI41 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI42 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI43 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI44 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI45 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI46 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI47 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI48 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI49 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI50 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI51 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI52 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI53 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI54 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI55 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# TEMPDET = 69.9599990844727 / Temperature at place #[Out]# PRESEMIR= 2.65633985918612E-07 / Pressure at place #[Out]# WCTEMP = 16.8999996185303 / Temperature in Celsius at EMIR Window #[Out]# WCHUM = 14. / Humidity in percentage at EMIR Window #[Out]# WCDWP = -10.6999998092651 / DewPoint in Celsius at EMIR window #[Out]# IPA = 90.0500000000004 / Instrument position angle in degrees (degrees) #[Out]# AIRMASS = 1.30835942623114 / AIRMASS #[Out]# AIRPRESS= 781.8377 / Mean atmospheric pressure during the RA #[Out]# RA = '19:23:41.411' / Telescope right ascension (HH:MM:SS) (h:m:s) #[Out]# DEC = '14:30:18.825' / Telescope declination (DD:PP:SS) (d:m:s) #[Out]# RADEG = 290.922547408529 / Telescope right ascension in decimal degrees. ( #[Out]# DECDEG = 14.5052292777092 / Telescope declination in degrees (degrees) #[Out]# OESTATE = 2 / Observing State (OFF/SLEWING/TRACKING/GUIDING) #[Out]# AZIMUTH = 259.498906824101 / Tel. azimuth at start time (degrees) #[Out]# ELEVAT = 49.7979634711328 / Elevation at start of observation (degrees) #[Out]# ROTANG = 157.738519685649 / Rotator position angle in degrees. #[Out]# TURNTBL1= -40.0022601744186 / Turntable1 position in degrees #[Out]# ARMROT1 = 29.9986125 / ArmRotator1 position in degrees #[Out]# TURNTBL2= -39.9987961785368 / Turntable2 position in degrees #[Out]# ARMROT2 = -50.0000625 / ArmRotator2 position in degrees #[Out]# DEWPOINT= -10.1454 / Ambient dew point in Celsius degrees #[Out]# HUMIDITY= 13.81 / Ambient humidity in percent. #[Out]# PRESSURE= 781.8377 / Ambient atmospheric pressure (hPascal) #[Out]# TAMBIENT= 18.687 / Ambient temperature in Celsius degrees #[Out]# WINDDIRE= 331. / Wind direction (from) in degrees from N to E #[Out]# WINDSPEE= 3.18673333333391 / Wind speed in m/s #[Out]# DOMETEMP= 18.7537777777778 / Temperature inside the dome #[Out]# M2UX = 1.9619699716568 / GTC secondary mirror UX position #[Out]# M2UY = 2.3966600894928 / GTC secondary mirror UY position #[Out]# M2UZ = -2.50573992729187 / GTC secondary mirror UZ position #[Out]# M2RX = 0.000615641998592764 / GTC secondary mirror RX position #[Out]# M2RY = -0.000510331010445952 / GTC secondary mirror RY position #[Out]# LAMPXE1 = 0 / GTC Xe1 spectral lamp #[Out]# LAMPNE1 = 0 / GTC Ne1 spectral lamp #[Out]# LAMPHG1 = 0 / GTC Hg(Ar)1 spectral lamp #[Out]# LAMPXE2 = 0 / GTC Hg(Ar)2 spectral lamp #[Out]# LAMPNE2 = 0 / GTC Ne2 spectral lamp #[Out]# LAMPHG2 = 0 / GTC Hg(Ar)2 spectral lamp #[Out]# LAMPINCD= 0 / GTC incandescent lamp #[Out]# LAMPINTN= 0. / GTC incandescent lamp intensity #[Out]# OBJECT = 'W51A ' / Object name #[Out]# INSMODE = ' ' / Instrument Mode #[Out]# OBSTYPE = 'OBJECT ' / Observation Type #[Out]# PI = 'aginsburg' / Principal Investigator #[Out]# OBSERVER= 'SA ' / Observer Name (SA = support astronomer) #[Out]# GTCPRGID= 'GTC2-20AFLO' / Program Identifier #[Out]# GTCOBID = '0001 ' / Observation Block ID #[Out]# TELESCOP= 'GTC ' / Telescope id. #[Out]# OBSMODE = 'STARE_IMAGE' / Observation Mode #[Out]# ORIGIN = 'GRANTECAN' / FITS file originator #[Out]# OBSERVAT= 'ORM ' / Name of observatory (IRAF style) #[Out]# LATITUDE= '+28:45:43.2' / Telescope latitude (degrees), +28:45:43.2 #[Out]# LONGITUD= '+17:52:39.5' / Telescope longitude (degrees), +17:52:39.5 #[Out]# HEIGHT = 2348 / Telescope height above sea level (m) #[Out]# CTYPE1 = 'RA---ZPN' / R.A. in tangent plane projection #[Out]# CTYPE2 = 'DEC--ZPN' / DEC. in tangent plane projection #[Out]# RADESYS = 'FK5 ' / Equatorial coordinate system #[Out]# EQUINOX = 2000. / Epoch of the mean equinox for WCS #[Out]# CRVAL1 = 290.922547408529 / RA at Ref pix in decimal degrees #[Out]# CRVAL2 = 14.5052292777092 / DEC at Ref pix in decimal degrees #[Out]# CRPIX1 = 1022.4864072389 / Ref pix of axis 1 #[Out]# CRPIX2 = 1016.55651287301 / Ref pix of axis 2 #[Out]# CD1_1 = -5.41620904877093E-05 / WCS matrix element 1,1 #[Out]# CD1_2 = -4.72653524372305E-08 / WCS matrix element 1,2 #[Out]# CD2_1 = 4.72653524372305E-08 / WCS matrix element 2,1 #[Out]# CD2_2 = -5.41620904877093E-05 / WCS matrix element 2,2 #[Out]# PV2_1 = 1. #[Out]# PV2_2 = 0. #[Out]# PV2_3 = 14584.8 #[Out]# PV2_4 = 0. #[Out]# PV2_5 = 1755295542.4 #[Out]# PCD1_1 = -3.58179062439342E-17 / WCS matrix element 1,1 #[Out]# PCD1_2 = 0.1949836 / WCS matrix element 1,2 #[Out]# PCD2_1 = -0.1949836 / WCS matrix element 2,1 #[Out]# PCD2_2 = -3.58179062439342E-17 / WCS matrix element 2,2 #[Out]# PCRPIX1 = 1022.49 / Reference pixel for coordinate transformation #[Out]# PCRPIX2 = 1016.56 / Reference pixel for coordinate transformation #[Out]# BUNIT = 'ADU ' / Data Units; adu for raw; adu/s preproc #[Out]# INSTRUME= 'EMIR ' / EMIR #[Out]# COMMENT ***OBSERVATION BLOCK**** #[Out]# DATE-OBS= '2020-07-13T03:53:27.71' / Date of observation (start) in Y2K complian #[Out]# UTC = '03:53:27.719928' / Coordinate UT of the observation (start) #[Out]# DETPA = 0. / Detector position angle [deg] wrt FP #[Out]# DTUPA = 2.35797393 / DTU position angle [deg] wrt FP #[Out]# FPPA = 270. / Focal Plane position angle [deg] wrt nominal FO #[Out]# PSCFP = 1.1746 / Plate scale at the focal plane #[Out]# PXSZCSU = 0.166 / Projected pixel size at the focal plane (CSU) #[Out]# PXSZDET = 18. / Pixel size at the detector #[Out]# ROTOFF = 90.05 / Rotator offset #[Out]# COMMENT ***INSTRUMENT CONF. BLOCK*** #[Out]# TELPOS = 'SOURCE ' / TELPOS (SKY/SOURCE/SKYFLAT/DOMEFLAT/NOD_A/NOD_B #[Out]# FILTPOS = 2 / Filter wheel position #[Out]# GRISMPOS= 6 / Grism wheel position #[Out]# FILTER = 'J ' / Filter name #[Out]# GRISM = 'OPEN ' / Grism name #[Out]# XDTU = -221.300003051758 / Actual DTU-X position #[Out]# YDTU = -36.6703987121582 / Actual DTU-Y position #[Out]# ZDTU = -534.966979980469 / Actual DTU-Z position #[Out]# XDTU_0 = -220.880996704102 / DTU-X which centres the detector in FOV #[Out]# YDTU_0 = -36.6697998046875 / DTU-Y which centres the detector in FOV #[Out]# ZDTU_0 = -535.02099609375 / DTU-Z which best focus the det. #[Out]# CSUCONFF= 'UNKNOWN ' / CSU Configuration File #[Out]# MASKID = ' ' / Mask identifier #[Out]# OBJSL1 = ' ' / Objects assigned to slit #[Out]# COMSL1 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL2 = ' ' / Objects assigned to slit #[Out]# COMSL2 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL3 = ' ' / Objects assigned to slit #[Out]# COMSL3 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL4 = ' ' / Objects assigned to slit #[Out]# COMSL4 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL5 = ' ' / Objects assigned to slit #[Out]# COMSL5 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL6 = ' ' / Objects assigned to slit #[Out]# COMSL6 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL7 = ' ' / Objects assigned to slit #[Out]# COMSL7 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL8 = ' ' / Objects assigned to slit #[Out]# COMSL8 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL9 = ' ' / Objects assigned to slit #[Out]# COMSL9 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL10 = ' ' / Objects assigned to slit #[Out]# COMSL10 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL11 = ' ' / Objects assigned to slit #[Out]# COMSL11 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL12 = ' ' / Objects assigned to slit #[Out]# COMSL12 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL13 = ' ' / Objects assigned to slit #[Out]# COMSL13 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL14 = ' ' / Objects assigned to slit #[Out]# COMSL14 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL15 = ' ' / Objects assigned to slit #[Out]# COMSL15 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL16 = ' ' / Objects assigned to slit #[Out]# COMSL16 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL17 = ' ' / Objects assigned to slit #[Out]# COMSL17 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL18 = ' ' / Objects assigned to slit #[Out]# COMSL18 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL19 = ' ' / Objects assigned to slit #[Out]# COMSL19 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL20 = ' ' / Objects assigned to slit #[Out]# COMSL20 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL21 = ' ' / Objects assigned to slit #[Out]# COMSL21 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL22 = ' ' / Objects assigned to slit #[Out]# COMSL22 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL23 = ' ' / Objects assigned to slit #[Out]# COMSL23 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL24 = ' ' / Objects assigned to slit #[Out]# COMSL24 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL25 = ' ' / Objects assigned to slit #[Out]# COMSL25 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL26 = ' ' / Objects assigned to slit #[Out]# COMSL26 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL27 = ' ' / Objects assigned to slit #[Out]# COMSL27 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL28 = ' ' / Objects assigned to slit #[Out]# COMSL28 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL29 = ' ' / Objects assigned to slit #[Out]# COMSL29 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL30 = ' ' / Objects assigned to slit #[Out]# COMSL30 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL31 = ' ' / Objects assigned to slit #[Out]# COMSL31 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL32 = ' ' / Objects assigned to slit #[Out]# COMSL32 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL33 = ' ' / Objects assigned to slit #[Out]# COMSL33 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL34 = ' ' / Objects assigned to slit #[Out]# COMSL34 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL35 = ' ' / Objects assigned to slit #[Out]# COMSL35 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL36 = ' ' / Objects assigned to slit #[Out]# COMSL36 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL37 = ' ' / Objects assigned to slit #[Out]# COMSL37 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL38 = ' ' / Objects assigned to slit #[Out]# COMSL38 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL39 = ' ' / Objects assigned to slit #[Out]# COMSL39 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL40 = ' ' / Objects assigned to slit #[Out]# COMSL40 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL41 = ' ' / Objects assigned to slit #[Out]# COMSL41 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL42 = ' ' / Objects assigned to slit #[Out]# COMSL42 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL43 = ' ' / Objects assigned to slit #[Out]# COMSL43 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL44 = ' ' / Objects assigned to slit #[Out]# COMSL44 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL45 = ' ' / Objects assigned to slit #[Out]# COMSL45 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL46 = ' ' / Objects assigned to slit #[Out]# COMSL46 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL47 = ' ' / Objects assigned to slit #[Out]# COMSL47 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL48 = ' ' / Objects assigned to slit #[Out]# COMSL48 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL49 = ' ' / Objects assigned to slit #[Out]# COMSL49 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL50 = ' ' / Objects assigned to slit #[Out]# COMSL50 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL51 = ' ' / Objects assigned to slit #[Out]# COMSL51 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL52 = ' ' / Objects assigned to slit #[Out]# COMSL52 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL53 = ' ' / Objects assigned to slit #[Out]# COMSL53 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL54 = ' ' / Objects assigned to slit #[Out]# COMSL54 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL55 = ' ' / Objects assigned to slit #[Out]# COMSL55 = ' ' / Object comment in the user catalogue. #[Out]# COMMENT *****EXPOSURE BLOCK***** #[Out]# READMODE= 'CDS ' / Detector readout mode in string #[Out]# EXPTIME = 9.999657 / [s] Exposure time #[Out]# SECTIME = 11.054887 / [s] Total time per sequence #[Out]# NOBSBLCK= 13 / Requested blocks in the obs. sequence #[Out]# OBSBLOCK= 1 / Counter of the block sequence #[Out]# NIMGOBBL= 7 / Requested number of images per obs. block #[Out]# IMGOBBL = 1 / Counter of the image sequence #[Out]# COMMENT *****DETECTOR BLOCK***** #[Out]# DRIFTCOR= T / Correction applied #[Out]# COMMENT *****INSTRUMENT STATUS BLOCK***** #[Out]# CYCLENUM= 'II ' / Number of temperature cycle #[Out]# SKYADD = F / Sky observed #[Out]# OBJRADIO= 30. / Nodd throw radius for the dither pattern. #[Out]# COMMENT *****TELESCOPE BLOCK***** #[Out]# COMMENT *****PROCESSING BLOCK***** ww = WCS(filehandle[0].header) from astropy.wcs import WCS ww = WCS(filehandle[0].header) get_ipython().run_line_magic('matplotlib', 'nbagg') import pylab as pl from astropy import visualization matplotlib.matplotlib_fname() import matplotlib matplotlib.matplotlib_fname() #[Out]# '/orange/adamginsburg/miniconda3/lib/python3.7/site-packages/matplotlib/mpl-data/matplotlibrc' pl.subplot(projection=ww) pl.imshow(filehandle[0].data) #[Out]# get_ipython().run_line_magic('matplotlib', 'inline') import pylab as pl from astropy import visualization pl.subplot(projection=ww) pl.imshow(filehandle[0].data) #[Out]# get_ipython().run_line_magic('matplotlib', 'inline') import pylab as pl from astropy import visualization pl.styles.use('dark_background') get_ipython().run_line_magic('matplotlib', 'inline') import pylab as pl from astropy import visualization pl.style.use('dark_background') pl.subplot(projection=ww) pl.imshow(filehandle[0].data) #[Out]# pl.figure(figsize=(12,12)) pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) #[Out]# from astroquery.vizier import Vizier cy, cx = filehandle[0].data.shape / 2 center = ww.wcs_pix2world(cx, cy, 0) cy, cx = (x/2 for x in filehandle[0].data.shape) center = ww.wcs_pix2world(cx, cy, 0) cy, cx = (x/2 for x in filehandle[0].data.shape) center = ww.wcs_pix2world(cx, cy, 0) center #[Out]# [array(290.92240637), array(14.50477208)] from astroquery.vizier import Vizier from astropy import coordinates, units as u cy, cx = (x/2 for x in filehandle[0].data.shape) center = coordinates.SkyCoord(*ww.wcs_pix2world(cx, cy, 0)*u.deg, frame='fk5') center #[Out]# Vizier.query_region(center, radius=5*u.arcmin, catalog='2MASS') #[Out]# TableList with 2 tables: #[Out]# '0:II/246/out' with 15 column(s) and 50 row(s) #[Out]# '1:VII/233/xsc' with 13 column(s) and 12 row(s) Vizier(row_limit=10000).query_region(center, radius=5*u.arcmin, catalog='2MASS') #[Out]# TableList with 2 tables: #[Out]# '0:II/246/out' with 15 column(s) and 1716 row(s) #[Out]# '1:VII/233/xsc' with 13 column(s) and 12 row(s) tables = Vizier(row_limit=10000).query_region(center, radius=5*u.arcmin, catalog='2MASS') table = tables[0] table #[Out]# #[Out]# RAJ2000 DEJ2000 _2MASS Jmag e_Jmag ... Bflg Cflg Xflg Aflg #[Out]# deg deg mag mag ... #[Out]# float64 float64 str17 float32 float32 ... str3 str3 uint8 uint8 #[Out]# ---------- ---------- ---------------- ------- ------- ... ---- ---- ----- ----- #[Out]# 290.874978 14.435305 19232999+1426070 14.476 0.036 ... 111 00c 0 0 #[Out]# 290.911328 14.430030 19233871+1425481 15.728 0.078 ... 111 000 0 0 #[Out]# 290.910689 14.434605 19233856+1426045 15.396 0.076 ... 111 ccc 0 0 #[Out]# 290.911945 14.427302 19233886+1425382 13.687 0.031 ... 111 000 0 0 #[Out]# 290.909739 14.426192 19233833+1425342 15.914 0.131 ... 111 c00 0 0 #[Out]# 290.911764 14.424986 19233882+1425299 13.565 0.032 ... 111 000 0 0 #[Out]# 290.912462 14.432902 19233899+1425584 15.786 0.076 ... 111 000 0 0 #[Out]# 290.909358 14.423078 19233824+1425230 14.609 0.035 ... 121 0cc 0 0 #[Out]# 290.909538 14.424500 19233828+1425282 15.417 -- ... 021 0c0 0 0 #[Out]# ... ... ... ... ... ... ... ... ... ... #[Out]# 290.950200 14.565629 19234804+1433562 16.001 0.115 ... 110 000 2 0 #[Out]# 290.949962 14.564198 19234799+1433511 16.505 0.141 ... 100 000 2 0 #[Out]# 290.963596 14.576619 19235126+1434358 14.674 -- ... 022 0cc 0 0 #[Out]# 290.951234 14.577243 19234829+1434380 16.328 -- ... 001 000 0 0 #[Out]# 290.951408 14.580699 19234833+1434505 15.585 0.087 ... 111 000 0 0 #[Out]# 290.946172 14.580816 19234708+1434509 14.777 0.054 ... 111 000 0 0 #[Out]# 290.977730 14.562895 19235465+1433464 16.854 -- ... 001 000 2 0 #[Out]# 290.948752 14.581684 19234770+1434540 16.948 -- ... 011 000 0 0 #[Out]# 290.977786 14.565290 19235466+1433550 15.644 -- ... 011 0c0 2 0 #[Out]# 290.948769 14.582990 19234770+1434587 16.347 0.123 ... 100 000 0 0 table_coordinates = coordinates.SkyCoord(table['RAJ2000'], table['DEJ2000'], frame='fk5') pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world')) #[Out]# [] pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='wx') pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w') #[Out]# [] pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') #[Out]# [] pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) axlims = ax.axis() pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (0.0, 1.0, 0.0, 1.0) pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) axlims = ax.axis() pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) brightstars = table['Kmag'] < 10 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) from photutils import DAOStarFinder std = filehandle[0].data.std() # crummy guess!! daofind = DAOStarFinder(fwhm=3.0, threshold=5.*std) starcat = daofind(filehandle[0].data - np.median(filehandle[0].data)) starcat #[Out]#
#[Out]# id xcentroid ... flux mag #[Out]# int64 float64 ... float64 float64 #[Out]# ----- ------------------ ... ------------------ --------------------- #[Out]# 1 287.9700850298652 ... 5.166097034800846 -1.7829063981679578 #[Out]# 2 1304.852235218743 ... 1.654808948514731 -0.5468696517818874 #[Out]# 3 697.4116669665292 ... 1.9048347039793152 -0.6996432370838013 #[Out]# 4 1633.1442249028848 ... 1.1502752755029957 -0.1520044624618978 #[Out]# 5 1054.3503310555595 ... 2.3718053740052456 -0.9376976218660549 #[Out]# 6 1659.5769719916764 ... 2.541534385035888 -1.0127399743849508 #[Out]# 7 1665.9293754741275 ... 5.351397890710092 -1.8211681078203779 #[Out]# 8 1568.3300173689129 ... 3.2157891870242086 -1.2682189264402546 #[Out]# 9 1279.8452151362637 ... 1.1713922493576279 -0.17175586536364737 #[Out]# 10 1840.0230189800131 ... 1.0769662827824311 -0.08050526699436303 #[Out]# ... ... ... ... ... #[Out]# 249 1545.6013598426484 ... 5.022044625554629 -1.7522014187648494 #[Out]# 250 1917.8647117743872 ... 5.10273133042265 -1.7695067560321198 #[Out]# 251 693.2974170967494 ... 1.9043478372539704 -0.6993656925829771 #[Out]# 252 65.63278618915696 ... 1.8314866512568613 -0.6570093941699704 #[Out]# 253 833.0293607623491 ... 2.365648448118481 -0.9348755147342993 #[Out]# 254 65.94338658143386 ... 4.269323383601497 -1.5758976301549352 #[Out]# 255 2006.256010558064 ... 1.0445644071035258 -0.04733805858230442 #[Out]# 256 1783.3036370430382 ... 5.1739943330785705 -1.784564871777532 #[Out]# 257 1338.5532616480493 ... 5.800416081031218 -1.9086478697757026 #[Out]# 258 1920.6323306541221 ... 1.038588058617489 -0.041108312241218005 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') #[Out]# [] get_ipython().run_line_magic('', 'pip install tweakwcs') get_ipython().run_line_magic('pip', 'install tweakwcs') get_ipython().run_line_magic('pip', 'install stsci.stimage') get_ipython().system('module load gcc') get_ipython().run_line_magic('pip', 'install stsci.stimage') import stsci.stimage import stsci.stimage import stsci.stimage stsci.stimage.xyxymatch #[Out]# get_ipython().run_line_magic('pinfo', 'stsci.stimage.xyxymatch') coords_in = np.array([starcat['xcentroid'], starcat['ycentroid']]) coords_ref = np.array([table_coordinates.ra.value, table_coordinates.dec.value]) stsci.stimage.xyxymatch(coords_in, coords_ref) ######################################################## # Started Logging At: 2020-10-22 12:42:19 ######################################################## ######################################################## # # Started Logging At: 2020-10-22 12:42:20 ######################################################## ######################################################## # Started Logging At: 2020-10-22 12:42:25 ######################################################## ######################################################## # # Started Logging At: 2020-10-22 12:42:25 ######################################################## get_ipython().run_line_magic('cd', 'GTC2-20AFLO/OB0001/object') files = get_ipython().getoutput('ls *fits') files[0] #[Out]# '0002613543-20200712-EMIR-STARE_IMAGE.fits' from astropy.io import fits filehandle = fits.open(files[0]) filehandle #[Out]# [] from astropy.wcs import WCS ww = WCS(filehandle[0].header) get_ipython().run_line_magic('matplotlib', 'inline') import pylab as pl from astropy import visualization pl.style.use('dark_background') pl.figure(figsize=(12,12)) pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) #[Out]# from astroquery.vizier import Vizier from astropy import coordinates, units as u cy, cx = (x/2 for x in filehandle[0].data.shape) center = coordinates.SkyCoord(*ww.wcs_pix2world(cx, cy, 0)*u.deg, frame='fk5') center #[Out]# tables = Vizier(row_limit=10000).query_region(center, radius=5*u.arcmin, catalog='2MASS') table = tables[0] table #[Out]#
#[Out]# RAJ2000 DEJ2000 _2MASS Jmag e_Jmag ... Bflg Cflg Xflg Aflg #[Out]# deg deg mag mag ... #[Out]# float64 float64 str17 float32 float32 ... str3 str3 uint8 uint8 #[Out]# ---------- ---------- ---------------- ------- ------- ... ---- ---- ----- ----- #[Out]# 290.874978 14.435305 19232999+1426070 14.476 0.036 ... 111 00c 0 0 #[Out]# 290.911328 14.430030 19233871+1425481 15.728 0.078 ... 111 000 0 0 #[Out]# 290.910689 14.434605 19233856+1426045 15.396 0.076 ... 111 ccc 0 0 #[Out]# 290.911945 14.427302 19233886+1425382 13.687 0.031 ... 111 000 0 0 #[Out]# 290.909739 14.426192 19233833+1425342 15.914 0.131 ... 111 c00 0 0 #[Out]# 290.911764 14.424986 19233882+1425299 13.565 0.032 ... 111 000 0 0 #[Out]# 290.912462 14.432902 19233899+1425584 15.786 0.076 ... 111 000 0 0 #[Out]# 290.909358 14.423078 19233824+1425230 14.609 0.035 ... 121 0cc 0 0 #[Out]# 290.909538 14.424500 19233828+1425282 15.417 -- ... 021 0c0 0 0 #[Out]# ... ... ... ... ... ... ... ... ... ... #[Out]# 290.950200 14.565629 19234804+1433562 16.001 0.115 ... 110 000 2 0 #[Out]# 290.949962 14.564198 19234799+1433511 16.505 0.141 ... 100 000 2 0 #[Out]# 290.963596 14.576619 19235126+1434358 14.674 -- ... 022 0cc 0 0 #[Out]# 290.951234 14.577243 19234829+1434380 16.328 -- ... 001 000 0 0 #[Out]# 290.951408 14.580699 19234833+1434505 15.585 0.087 ... 111 000 0 0 #[Out]# 290.946172 14.580816 19234708+1434509 14.777 0.054 ... 111 000 0 0 #[Out]# 290.977730 14.562895 19235465+1433464 16.854 -- ... 001 000 2 0 #[Out]# 290.948752 14.581684 19234770+1434540 16.948 -- ... 011 000 0 0 #[Out]# 290.977786 14.565290 19235466+1433550 15.644 -- ... 011 0c0 2 0 #[Out]# 290.948769 14.582990 19234770+1434587 16.347 0.123 ... 100 000 0 0 table_coordinates = coordinates.SkyCoord(table['RAJ2000'], table['DEJ2000'], frame='fk5') pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') #[Out]# [] pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) axlims = ax.axis() pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) brightstars = table['Kmag'] < 10 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) from photutils import DAOStarFinder std = filehandle[0].data.std() # crummy guess!! daofind = DAOStarFinder(fwhm=3.0, threshold=5.*std) starcat = daofind(filehandle[0].data - np.median(filehandle[0].data)) starcat #[Out]#
#[Out]# id xcentroid ... flux mag #[Out]# int64 float64 ... float64 float64 #[Out]# ----- ------------------ ... ------------------ --------------------- #[Out]# 1 287.9700850298652 ... 5.166097034800846 -1.7829063981679578 #[Out]# 2 1304.852235218743 ... 1.654808948514731 -0.5468696517818874 #[Out]# 3 697.4116669665292 ... 1.9048347039793152 -0.6996432370838013 #[Out]# 4 1633.1442249028848 ... 1.1502752755029957 -0.1520044624618978 #[Out]# 5 1054.3503310555595 ... 2.3718053740052456 -0.9376976218660549 #[Out]# 6 1659.5769719916764 ... 2.541534385035888 -1.0127399743849508 #[Out]# 7 1665.9293754741275 ... 5.351397890710092 -1.8211681078203779 #[Out]# 8 1568.3300173689129 ... 3.2157891870242086 -1.2682189264402546 #[Out]# 9 1279.8452151362637 ... 1.1713922493576279 -0.17175586536364737 #[Out]# 10 1840.0230189800131 ... 1.0769662827824311 -0.08050526699436303 #[Out]# ... ... ... ... ... #[Out]# 249 1545.6013598426484 ... 5.022044625554629 -1.7522014187648494 #[Out]# 250 1917.8647117743872 ... 5.10273133042265 -1.7695067560321198 #[Out]# 251 693.2974170967494 ... 1.9043478372539704 -0.6993656925829771 #[Out]# 252 65.63278618915696 ... 1.8314866512568613 -0.6570093941699704 #[Out]# 253 833.0293607623491 ... 2.365648448118481 -0.9348755147342993 #[Out]# 254 65.94338658143386 ... 4.269323383601497 -1.5758976301549352 #[Out]# 255 2006.256010558064 ... 1.0445644071035258 -0.04733805858230442 #[Out]# 256 1783.3036370430382 ... 5.1739943330785705 -1.784564871777532 #[Out]# 257 1338.5532616480493 ... 5.800416081031218 -1.9086478697757026 #[Out]# 258 1920.6323306541221 ... 1.038588058617489 -0.041108312241218005 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') #[Out]# [] import stsci.stimage get_ipython().run_line_magic('pinfo', 'stsci.stimage.xyxymatch') coords_in = np.array([starcat['xcentroid'], starcat['ycentroid']]) coords_ref = np.array([table_coordinates.ra.value, table_coordinates.dec.value]) stsci.stimage.xyxymatch(coords_in, coords_ref) ######################################################## # Started Logging At: 2020-10-22 12:42:58 ######################################################## ######################################################## # # Started Logging At: 2020-10-22 12:42:59 ######################################################## coords_in = np.array([starcat['xcentroid'], starcat['ycentroid']]) coords_ref = np.array([table_coordinates.ra.value, table_coordinates.dec.value]) coords_in.shape, coords_ref.shape ######################################################## # Started Logging At: 2020-10-22 12:43:13 ######################################################## ######################################################## # # Started Logging At: 2020-10-22 12:43:13 ######################################################## get_ipython().run_line_magic('cd', 'GTC2-20AFLO/OB0001/object') files = get_ipython().getoutput('ls *fits') files[0] #[Out]# '0002613543-20200712-EMIR-STARE_IMAGE.fits' from astropy.io import fits filehandle = fits.open(files[0]) filehandle #[Out]# [] from astropy.wcs import WCS ww = WCS(filehandle[0].header) get_ipython().run_line_magic('matplotlib', 'inline') import pylab as pl from astropy import visualization pl.style.use('dark_background') pl.figure(figsize=(12,12)) pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) #[Out]# from astroquery.vizier import Vizier from astropy import coordinates, units as u cy, cx = (x/2 for x in filehandle[0].data.shape) center = coordinates.SkyCoord(*ww.wcs_pix2world(cx, cy, 0)*u.deg, frame='fk5') center #[Out]# tables = Vizier(row_limit=10000).query_region(center, radius=5*u.arcmin, catalog='2MASS') table = tables[0] table #[Out]#
#[Out]# RAJ2000 DEJ2000 _2MASS Jmag e_Jmag ... Bflg Cflg Xflg Aflg #[Out]# deg deg mag mag ... #[Out]# float64 float64 str17 float32 float32 ... str3 str3 uint8 uint8 #[Out]# ---------- ---------- ---------------- ------- ------- ... ---- ---- ----- ----- #[Out]# 290.874978 14.435305 19232999+1426070 14.476 0.036 ... 111 00c 0 0 #[Out]# 290.911328 14.430030 19233871+1425481 15.728 0.078 ... 111 000 0 0 #[Out]# 290.910689 14.434605 19233856+1426045 15.396 0.076 ... 111 ccc 0 0 #[Out]# 290.911945 14.427302 19233886+1425382 13.687 0.031 ... 111 000 0 0 #[Out]# 290.909739 14.426192 19233833+1425342 15.914 0.131 ... 111 c00 0 0 #[Out]# 290.911764 14.424986 19233882+1425299 13.565 0.032 ... 111 000 0 0 #[Out]# 290.912462 14.432902 19233899+1425584 15.786 0.076 ... 111 000 0 0 #[Out]# 290.909358 14.423078 19233824+1425230 14.609 0.035 ... 121 0cc 0 0 #[Out]# 290.909538 14.424500 19233828+1425282 15.417 -- ... 021 0c0 0 0 #[Out]# ... ... ... ... ... ... ... ... ... ... #[Out]# 290.950200 14.565629 19234804+1433562 16.001 0.115 ... 110 000 2 0 #[Out]# 290.949962 14.564198 19234799+1433511 16.505 0.141 ... 100 000 2 0 #[Out]# 290.963596 14.576619 19235126+1434358 14.674 -- ... 022 0cc 0 0 #[Out]# 290.951234 14.577243 19234829+1434380 16.328 -- ... 001 000 0 0 #[Out]# 290.951408 14.580699 19234833+1434505 15.585 0.087 ... 111 000 0 0 #[Out]# 290.946172 14.580816 19234708+1434509 14.777 0.054 ... 111 000 0 0 #[Out]# 290.977730 14.562895 19235465+1433464 16.854 -- ... 001 000 2 0 #[Out]# 290.948752 14.581684 19234770+1434540 16.948 -- ... 011 000 0 0 #[Out]# 290.977786 14.565290 19235466+1433550 15.644 -- ... 011 0c0 2 0 #[Out]# 290.948769 14.582990 19234770+1434587 16.347 0.123 ... 100 000 0 0 table_coordinates = coordinates.SkyCoord(table['RAJ2000'], table['DEJ2000'], frame='fk5') pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') #[Out]# [] pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) axlims = ax.axis() pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) brightstars = table['Kmag'] < 10 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) from photutils import DAOStarFinder std = filehandle[0].data.std() # crummy guess!! daofind = DAOStarFinder(fwhm=3.0, threshold=5.*std) starcat = daofind(filehandle[0].data - np.median(filehandle[0].data)) starcat #[Out]#
#[Out]# id xcentroid ... flux mag #[Out]# int64 float64 ... float64 float64 #[Out]# ----- ------------------ ... ------------------ --------------------- #[Out]# 1 287.9700850298652 ... 5.166097034800846 -1.7829063981679578 #[Out]# 2 1304.852235218743 ... 1.654808948514731 -0.5468696517818874 #[Out]# 3 697.4116669665292 ... 1.9048347039793152 -0.6996432370838013 #[Out]# 4 1633.1442249028848 ... 1.1502752755029957 -0.1520044624618978 #[Out]# 5 1054.3503310555595 ... 2.3718053740052456 -0.9376976218660549 #[Out]# 6 1659.5769719916764 ... 2.541534385035888 -1.0127399743849508 #[Out]# 7 1665.9293754741275 ... 5.351397890710092 -1.8211681078203779 #[Out]# 8 1568.3300173689129 ... 3.2157891870242086 -1.2682189264402546 #[Out]# 9 1279.8452151362637 ... 1.1713922493576279 -0.17175586536364737 #[Out]# 10 1840.0230189800131 ... 1.0769662827824311 -0.08050526699436303 #[Out]# ... ... ... ... ... #[Out]# 249 1545.6013598426484 ... 5.022044625554629 -1.7522014187648494 #[Out]# 250 1917.8647117743872 ... 5.10273133042265 -1.7695067560321198 #[Out]# 251 693.2974170967494 ... 1.9043478372539704 -0.6993656925829771 #[Out]# 252 65.63278618915696 ... 1.8314866512568613 -0.6570093941699704 #[Out]# 253 833.0293607623491 ... 2.365648448118481 -0.9348755147342993 #[Out]# 254 65.94338658143386 ... 4.269323383601497 -1.5758976301549352 #[Out]# 255 2006.256010558064 ... 1.0445644071035258 -0.04733805858230442 #[Out]# 256 1783.3036370430382 ... 5.1739943330785705 -1.784564871777532 #[Out]# 257 1338.5532616480493 ... 5.800416081031218 -1.9086478697757026 #[Out]# 258 1920.6323306541221 ... 1.038588058617489 -0.041108312241218005 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') #[Out]# [] import stsci.stimage get_ipython().run_line_magic('pinfo', 'stsci.stimage.xyxymatch') coords_in = np.array([starcat['xcentroid'], starcat['ycentroid']]) coords_ref = np.array([table_coordinates.ra.value, table_coordinates.dec.value]) coords_in.shape, coords_ref.shape #[Out]# ((2, 258), (2, 1716)) #result = stsci.stimage.xyxymatch(coords_in, coords_ref) #result result = stsci.stimage.xyxymatch(coords_in.T, coords_ref.T) result #[Out]# array([], #[Out]# dtype=[('input_x', '] from astropy.wcs import WCS ww = WCS(filehandle[0].header) get_ipython().run_line_magic('matplotlib', 'inline') import pylab as pl from astropy import visualization pl.style.use('dark_background') pl.figure(figsize=(12,12)) pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) #[Out]# from astroquery.vizier import Vizier from astropy import coordinates, units as u cy, cx = (x/2 for x in filehandle[0].data.shape) center = coordinates.SkyCoord(*ww.wcs_pix2world(cx, cy, 0)*u.deg, frame='fk5') center #[Out]# tables = Vizier(row_limit=10000).query_region(center, radius=5*u.arcmin, catalog='2MASS') table = tables[0] table #[Out]#
#[Out]# RAJ2000 DEJ2000 _2MASS Jmag e_Jmag ... Bflg Cflg Xflg Aflg #[Out]# deg deg mag mag ... #[Out]# float64 float64 str17 float32 float32 ... str3 str3 uint8 uint8 #[Out]# ---------- ---------- ---------------- ------- ------- ... ---- ---- ----- ----- #[Out]# 290.874978 14.435305 19232999+1426070 14.476 0.036 ... 111 00c 0 0 #[Out]# 290.911328 14.430030 19233871+1425481 15.728 0.078 ... 111 000 0 0 #[Out]# 290.910689 14.434605 19233856+1426045 15.396 0.076 ... 111 ccc 0 0 #[Out]# 290.911945 14.427302 19233886+1425382 13.687 0.031 ... 111 000 0 0 #[Out]# 290.909739 14.426192 19233833+1425342 15.914 0.131 ... 111 c00 0 0 #[Out]# 290.911764 14.424986 19233882+1425299 13.565 0.032 ... 111 000 0 0 #[Out]# 290.912462 14.432902 19233899+1425584 15.786 0.076 ... 111 000 0 0 #[Out]# 290.909358 14.423078 19233824+1425230 14.609 0.035 ... 121 0cc 0 0 #[Out]# 290.909538 14.424500 19233828+1425282 15.417 -- ... 021 0c0 0 0 #[Out]# ... ... ... ... ... ... ... ... ... ... #[Out]# 290.950200 14.565629 19234804+1433562 16.001 0.115 ... 110 000 2 0 #[Out]# 290.949962 14.564198 19234799+1433511 16.505 0.141 ... 100 000 2 0 #[Out]# 290.963596 14.576619 19235126+1434358 14.674 -- ... 022 0cc 0 0 #[Out]# 290.951234 14.577243 19234829+1434380 16.328 -- ... 001 000 0 0 #[Out]# 290.951408 14.580699 19234833+1434505 15.585 0.087 ... 111 000 0 0 #[Out]# 290.946172 14.580816 19234708+1434509 14.777 0.054 ... 111 000 0 0 #[Out]# 290.977730 14.562895 19235465+1433464 16.854 -- ... 001 000 2 0 #[Out]# 290.948752 14.581684 19234770+1434540 16.948 -- ... 011 000 0 0 #[Out]# 290.977786 14.565290 19235466+1433550 15.644 -- ... 011 0c0 2 0 #[Out]# 290.948769 14.582990 19234770+1434587 16.347 0.123 ... 100 000 0 0 table_coordinates = coordinates.SkyCoord(table['RAJ2000'], table['DEJ2000'], frame='fk5') pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') #[Out]# [] pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) axlims = ax.axis() pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) brightstars = table['Kmag'] < 10 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) from photutils import DAOStarFinder std = filehandle[0].data.std() # crummy guess!! daofind = DAOStarFinder(fwhm=3.0, threshold=5.*std) starcat = daofind(filehandle[0].data - np.median(filehandle[0].data)) starcat #[Out]#
#[Out]# id xcentroid ... flux mag #[Out]# int64 float64 ... float64 float64 #[Out]# ----- ------------------ ... ------------------ --------------------- #[Out]# 1 287.9700850298652 ... 5.166097034800846 -1.7829063981679578 #[Out]# 2 1304.852235218743 ... 1.654808948514731 -0.5468696517818874 #[Out]# 3 697.4116669665292 ... 1.9048347039793152 -0.6996432370838013 #[Out]# 4 1633.1442249028848 ... 1.1502752755029957 -0.1520044624618978 #[Out]# 5 1054.3503310555595 ... 2.3718053740052456 -0.9376976218660549 #[Out]# 6 1659.5769719916764 ... 2.541534385035888 -1.0127399743849508 #[Out]# 7 1665.9293754741275 ... 5.351397890710092 -1.8211681078203779 #[Out]# 8 1568.3300173689129 ... 3.2157891870242086 -1.2682189264402546 #[Out]# 9 1279.8452151362637 ... 1.1713922493576279 -0.17175586536364737 #[Out]# 10 1840.0230189800131 ... 1.0769662827824311 -0.08050526699436303 #[Out]# ... ... ... ... ... #[Out]# 249 1545.6013598426484 ... 5.022044625554629 -1.7522014187648494 #[Out]# 250 1917.8647117743872 ... 5.10273133042265 -1.7695067560321198 #[Out]# 251 693.2974170967494 ... 1.9043478372539704 -0.6993656925829771 #[Out]# 252 65.63278618915696 ... 1.8314866512568613 -0.6570093941699704 #[Out]# 253 833.0293607623491 ... 2.365648448118481 -0.9348755147342993 #[Out]# 254 65.94338658143386 ... 4.269323383601497 -1.5758976301549352 #[Out]# 255 2006.256010558064 ... 1.0445644071035258 -0.04733805858230442 #[Out]# 256 1783.3036370430382 ... 5.1739943330785705 -1.784564871777532 #[Out]# 257 1338.5532616480493 ... 5.800416081031218 -1.9086478697757026 #[Out]# 258 1920.6323306541221 ... 1.038588058617489 -0.041108312241218005 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') #[Out]# [] import stsci.stimage import tweakwcs coords_in = np.array([starcat['xcentroid'], starcat['ycentroid']]) coords_ref = np.array([table_coordinates.ra.value[brightstars], table_coordinates.dec.value[brightstars]]) coords_in.shape, coords_ref.shape #[Out]# ((2, 258), (2, 31)) import tristars.match tristars.match.match_catalog_tri(coords_in.T, coords_ref.T) brightstars = table['Kmag'] < 11 brightstars.sum() #[Out]# 86 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) coords_in = np.array([starcat['xcentroid'], starcat['ycentroid']]) coords_ref = np.array([table_coordinates.ra.value[brightstars], table_coordinates.dec.value[brightstars]]) coords_in.shape, coords_ref.shape #[Out]# ((2, 258), (2, 86)) import tristars.match tristars.match.match_catalog_tri(coords_in.T, coords_ref.T) tristars.match.match_catalog_tri(coords_in.T, coords_ref.T, ignore_size=False, ignore_rot=False) tristars.match.match_catalog_tri(coords_in.T, coords_ref.T, ignore_scale=False, ignore_rot=False) tristars.match.match_catalog_tri(coords_in.T[::3,:], coords_ref.T, ignore_scale=False, ignore_rot=True) filehandle[0.header] filehandle[0].header #[Out]# SIMPLE = T / file does conform to FITS standard #[Out]# BITPIX = 16 / number of bits per data pixel #[Out]# NAXIS = 2 / number of data axes #[Out]# NAXIS1 = 2048 / length of data axis 1 #[Out]# NAXIS2 = 2048 / length of data axis 2 #[Out]# EXTEND = T / FITS dataset may contain extensions #[Out]# COMMENT FITS (Flexible Image Transport System) format is defined in 'Astronomy #[Out]# COMMENT and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H #[Out]# BZERO = 32768 / offset data range to that of unsigned short #[Out]# BSCALE = 1 / default scaling factor #[Out]# DETVER = 'SCI ' / 401 Detector used: science or engineering #[Out]# NSEC = 1 / 402 Number of sequences executed at detector #[Out]# NRST = 1 / 403 Number of resets #[Out]# OPTRST = 3 / 404 Type of reset #[Out]# NIMGRST = 1 / 405 Number of reset images #[Out]# NRDBL_ND= 0 / 406 Number of non-productive reads before loop #[Out]# NRDBL = 0 / 407 Number of productive reads before loop #[Out]# NLOOP = 1 / 408 Exposure Number #[Out]# TOPER = 559 / [ms] 409 Time period in the detector sequence f #[Out]# NRDIL_ND= 8 / 410 Number of non-productibe reads per loop ite #[Out]# NRDIL = 1 / 411 Number of productive reads per loop iterati #[Out]# Y_SIZE = 1024 / 412 Offset in pixels for window mode #[Out]# Y_SIZE_B= 0 / 413 Number of readable columns (1024 - Y_SIZE) #[Out]# NPARAM_X= 0 / 414 Number of dummy readouts of a line #[Out]# GAIN = 3.3 / 416 Gain, in e-/ADU #[Out]# RON = 6.2 / 417 Read-out noise, in ADU #[Out]# VOFFSET = 0. / 418 Voff #[Out]# VRESET = 0. / 419 Vreset #[Out]# WINMODE = 0 / 420 Window mode: full, 128px #[Out]# BIASGATE= 0. / 421 Biasgate #[Out]# FIRMVER = '20023 ' / 422 Controller firmware version #[Out]# NFRSEC = 2 / 423 Frames produced per detector exposure #[Out]# FRSEC = 0 / 424 Counter of the frame sequence #[Out]# NEXP = 1 / 425 Number of detector exposures #[Out]# EXP = 1 / 426 Detector exposures counter #[Out]# TSTAMP = 1594612398 / [s] Time stamp in UTC #[Out]# READMODN= 1 / E00 Readout (numerico) mode used for the observ #[Out]# TSUTC1 = 1594612397.6684 / [s] E01 Time stamp before read detector (UTC) #[Out]# TSUTC2 = 1594612408.77522 / [s] E02 Time stamp after read detector (UTC) #[Out]# TSUTCD = 11.1068141460419 / [s] E03 Diff. between TSUTC2 and TSUTC1 #[Out]# ITER_NUM= 1 / E04 frame counter #[Out]# FRSTAT = 2 / E05 status 0=START,1=RUN,2=END,3=ABR,4=ERR #[Out]# APPNAME = '/work/gcsop/etc/config/emir/lods/33-18_SDSU2_MUX_v20_UNIX.lod' / E06 #[Out]# WINDCOV = 1 / Window blind status (OPEN/CLOSE) #[Out]# WINDOW = 1 / Window status (OPEN/CLOSE) #[Out]# XDTU_C = -999.9990234375 / X Absolute position commanded to DTU. If not -9 #[Out]# YDTU_C = -999.9990234375 / Y Absolute position commanded to DTU. If not -9 #[Out]# ZDTU_C = -999.9990234375 / Z Absolute position commanded to DTU. If not -9 #[Out]# XDTU_F = 0.922918 / DTU-X Scale Factor #[Out]# YDTU_F = 0.971815 / DTU-Y Scale Factor #[Out]# ZDTU_F = 1. / DTU-Z Scale Factor #[Out]# CSUP1 = 0.488999992609024 / CSU current position #[Out]# CSUP2 = 0.492000013589859 / CSU current position #[Out]# CSUP3 = 0.495000004768372 / CSU current position #[Out]# CSUP4 = 0.493999987840652 / CSU current position #[Out]# CSUP5 = 0.493000000715256 / CSU current position #[Out]# CSUP6 = 0.493000000715256 / CSU current position #[Out]# CSUP7 = 0.492000013589859 / CSU current position #[Out]# CSUP8 = 0.495999991893768 / CSU current position #[Out]# CSUP9 = 0.49099999666214 / CSU current position #[Out]# CSUP10 = 0.495000004768372 / CSU current position #[Out]# CSUP11 = 0.492000013589859 / CSU current position #[Out]# CSUP12 = 0.508000016212463 / CSU current position #[Out]# CSUP13 = 0.493000000715256 / CSU current position #[Out]# CSUP14 = 0.493000000715256 / CSU current position #[Out]# CSUP15 = 0.490000009536743 / CSU current position #[Out]# CSUP16 = 0.493000000715256 / CSU current position #[Out]# CSUP17 = 0.497000008821487 / CSU current position #[Out]# CSUP18 = 0.493000000715256 / CSU current position #[Out]# CSUP19 = 0.493000000715256 / CSU current position #[Out]# CSUP20 = 0.493000000715256 / CSU current position #[Out]# CSUP21 = 0.49099999666214 / CSU current position #[Out]# CSUP22 = 0.493000000715256 / CSU current position #[Out]# CSUP23 = 0.493000000715256 / CSU current position #[Out]# CSUP24 = 0.492000013589859 / CSU current position #[Out]# CSUP25 = 0.49099999666214 / CSU current position #[Out]# CSUP26 = 0.49099999666214 / CSU current position #[Out]# CSUP27 = 0.493000000715256 / CSU current position #[Out]# CSUP28 = 0.493999987840652 / CSU current position #[Out]# CSUP29 = 0.492000013589859 / CSU current position #[Out]# CSUP30 = 0.493000000715256 / CSU current position #[Out]# CSUP31 = 0.49099999666214 / CSU current position #[Out]# CSUP32 = 0.495000004768372 / CSU current position #[Out]# CSUP33 = 0.493000000715256 / CSU current position #[Out]# CSUP34 = 0.493999987840652 / CSU current position #[Out]# CSUP35 = 0.49099999666214 / CSU current position #[Out]# CSUP36 = 0.49099999666214 / CSU current position #[Out]# CSUP37 = 0.492000013589859 / CSU current position #[Out]# CSUP38 = 0.493000000715256 / CSU current position #[Out]# CSUP39 = 0.493000000715256 / CSU current position #[Out]# CSUP40 = 0.49099999666214 / CSU current position #[Out]# CSUP41 = 0.49099999666214 / CSU current position #[Out]# CSUP42 = 0.493999987840652 / CSU current position #[Out]# CSUP43 = 0.493000000715256 / CSU current position #[Out]# CSUP44 = 0.493999987840652 / CSU current position #[Out]# CSUP45 = 0.493000000715256 / CSU current position #[Out]# CSUP46 = 0.493000000715256 / CSU current position #[Out]# CSUP47 = 0.493000000715256 / CSU current position #[Out]# CSUP48 = 0.497000008821487 / CSU current position #[Out]# CSUP49 = 0.493000000715256 / CSU current position #[Out]# CSUP50 = 0.493999987840652 / CSU current position #[Out]# CSUP51 = 0.493000000715256 / CSU current position #[Out]# CSUP52 = 0.492000013589859 / CSU current position #[Out]# CSUP53 = 0.493999987840652 / CSU current position #[Out]# CSUP54 = 0.493999987840652 / CSU current position #[Out]# CSUP55 = 0.493000000715256 / CSU current position #[Out]# CSUP56 = 0.49099999666214 / CSU current position #[Out]# CSUP57 = 0.493000000715256 / CSU current position #[Out]# CSUP58 = 0.492000013589859 / CSU current position #[Out]# CSUP59 = 0.493000000715256 / CSU current position #[Out]# CSUP60 = 0.492000013589859 / CSU current position #[Out]# CSUP61 = 0.493999987840652 / CSU current position #[Out]# CSUP62 = 0.493000000715256 / CSU current position #[Out]# CSUP63 = 0.493000000715256 / CSU current position #[Out]# CSUP64 = 0.492000013589859 / CSU current position #[Out]# CSUP65 = 0.493000000715256 / CSU current position #[Out]# CSUP66 = 0.492000013589859 / CSU current position #[Out]# CSUP67 = 0.493000000715256 / CSU current position #[Out]# CSUP68 = 0.488999992609024 / CSU current position #[Out]# CSUP69 = 0.507000029087067 / CSU current position #[Out]# CSUP70 = 0.490000009536743 / CSU current position #[Out]# CSUP71 = 0.493000000715256 / CSU current position #[Out]# CSUP72 = 0.493000000715256 / CSU current position #[Out]# CSUP73 = 0.492000013589859 / CSU current position #[Out]# CSUP74 = 0.488999992609024 / CSU current position #[Out]# CSUP75 = 0.493000000715256 / CSU current position #[Out]# CSUP76 = 0.490000009536743 / CSU current position #[Out]# CSUP77 = 0.495999991893768 / CSU current position #[Out]# CSUP78 = 0.49099999666214 / CSU current position #[Out]# CSUP79 = 0.493000000715256 / CSU current position #[Out]# CSUP80 = 0.493000000715256 / CSU current position #[Out]# CSUP81 = 0.495000004768372 / CSU current position #[Out]# CSUP82 = 0.488000005483627 / CSU current position #[Out]# CSUP83 = 0.493999987840652 / CSU current position #[Out]# CSUP84 = 0.492000013589859 / CSU current position #[Out]# CSUP85 = 0.50900000333786 / CSU current position #[Out]# CSUP86 = 0.49099999666214 / CSU current position #[Out]# CSUP87 = 0.495999991893768 / CSU current position #[Out]# CSUP88 = 0.492000013589859 / CSU current position #[Out]# CSUP89 = 0.493000000715256 / CSU current position #[Out]# CSUP90 = 0.488999992609024 / CSU current position #[Out]# CSUP91 = 0.493999987840652 / CSU current position #[Out]# CSUP92 = 0.488999992609024 / CSU current position #[Out]# CSUP93 = 0.493000000715256 / CSU current position #[Out]# CSUP94 = 0.493000000715256 / CSU current position #[Out]# CSUP95 = 0.493000000715256 / CSU current position #[Out]# CSUP96 = 0.492000013589859 / CSU current position #[Out]# CSUP97 = 0.497000008821487 / CSU current position #[Out]# CSUP98 = 0.492000013589859 / CSU current position #[Out]# CSUP99 = 0.493999987840652 / CSU current position #[Out]# CSUP100 = 0.490000009536743 / CSU current position #[Out]# CSUP101 = 0.493999987840652 / CSU current position #[Out]# CSUP102 = 0.490000009536743 / CSU current position #[Out]# CSUP103 = 0.493999987840652 / CSU current position #[Out]# CSUP104 = 0.492000013589859 / CSU current position #[Out]# CSUP105 = 0.495000004768372 / CSU current position #[Out]# CSUP106 = 0.493000000715256 / CSU current position #[Out]# CSUP107 = 0.492000013589859 / CSU current position #[Out]# CSUP108 = 0.492000013589859 / CSU current position #[Out]# CSUP109 = 0.493000000715256 / CSU current position #[Out]# CSUP110 = 0.490000009536743 / CSU current position #[Out]# CS_0 = 10000. / CSU bars sensors #[Out]# CS_1 = 10000. / CSU bars sensors #[Out]# CS_2 = 10000. / CSU bars sensors #[Out]# CS_3 = 10000. / CSU bars sensors #[Out]# CS_4 = 10000. / CSU bars sensors #[Out]# CS_5 = 10000. / CSU bars sensors #[Out]# CS_6 = 10000. / CSU bars sensors #[Out]# CS_7 = 10000. / CSU bars sensors #[Out]# CS_8 = 10000. / CSU bars sensors #[Out]# CS_9 = 10000. / CSU bars sensors #[Out]# CS_10 = 10000. / CSU bars sensors #[Out]# CS_11 = 10000. / CSU bars sensors #[Out]# CS_12 = 10000. / CSU bars sensors #[Out]# CS_13 = 10000. / CSU bars sensors #[Out]# CS_14 = 10000. / CSU bars sensors #[Out]# CS_15 = 10000. / CSU bars sensors #[Out]# CS_16 = 10000. / CSU bars sensors #[Out]# CS_17 = 10000. / CSU bars sensors #[Out]# CS_18 = 10000. / CSU bars sensors #[Out]# CS_19 = 10000. / CSU bars sensors #[Out]# CS_20 = 10000. / CSU bars sensors #[Out]# CS_21 = 10000. / CSU bars sensors #[Out]# CS_22 = 10000. / CSU bars sensors #[Out]# CS_23 = 10000. / CSU bars sensors #[Out]# CS_24 = 10000. / CSU bars sensors #[Out]# CS_25 = 10000. / CSU bars sensors #[Out]# CS_26 = 10000. / CSU bars sensors #[Out]# CS_27 = 10000. / CSU bars sensors #[Out]# CS_28 = 10000. / CSU bars sensors #[Out]# CS_29 = 10000. / CSU bars sensors #[Out]# CS_30 = 10000. / CSU bars sensors #[Out]# CS_31 = 10000. / CSU bars sensors #[Out]# CS_32 = 10000. / CSU bars sensors #[Out]# CS_33 = 10000. / CSU bars sensors #[Out]# CS_34 = 10000. / CSU bars sensors #[Out]# CS_35 = 10000. / CSU bars sensors #[Out]# CS_36 = 10000. / CSU bars sensors #[Out]# CS_37 = 10000. / CSU bars sensors #[Out]# CS_38 = 10000. / CSU bars sensors #[Out]# CS_39 = 10000. / CSU bars sensors #[Out]# CS_40 = 10000. / CSU bars sensors #[Out]# CS_41 = 10000. / CSU bars sensors #[Out]# CS_42 = 10000. / CSU bars sensors #[Out]# CS_43 = 10000. / CSU bars sensors #[Out]# CS_44 = 10000. / CSU bars sensors #[Out]# CS_45 = 10000. / CSU bars sensors #[Out]# CS_46 = 10000. / CSU bars sensors #[Out]# CS_47 = 10000. / CSU bars sensors #[Out]# CS_48 = 10000. / CSU bars sensors #[Out]# CS_49 = 10000. / CSU bars sensors #[Out]# CS_50 = 10000. / CSU bars sensors #[Out]# CS_51 = 10000. / CSU bars sensors #[Out]# CS_52 = 10000. / CSU bars sensors #[Out]# CS_53 = 10000. / CSU bars sensors #[Out]# CS_54 = 10000. / CSU bars sensors #[Out]# CS_55 = 10000. / CSU bars sensors #[Out]# CS_56 = 10000. / CSU bars sensors #[Out]# CS_57 = 10000. / CSU bars sensors #[Out]# CS_58 = 10000. / CSU bars sensors #[Out]# CS_59 = 10000. / CSU bars sensors #[Out]# CS_60 = 10000. / CSU bars sensors #[Out]# CS_61 = 10000. / CSU bars sensors #[Out]# CS_62 = 10000. / CSU bars sensors #[Out]# CS_63 = 10000. / CSU bars sensors #[Out]# CS_64 = 10000. / CSU bars sensors #[Out]# CS_65 = 10000. / CSU bars sensors #[Out]# CS_66 = 10000. / CSU bars sensors #[Out]# CS_67 = 10000. / CSU bars sensors #[Out]# CS_68 = 10000. / CSU bars sensors #[Out]# CS_69 = 10000. / CSU bars sensors #[Out]# CS_70 = 10000. / CSU bars sensors #[Out]# CS_71 = 10000. / CSU bars sensors #[Out]# CS_72 = 10000. / CSU bars sensors #[Out]# CS_73 = 10000. / CSU bars sensors #[Out]# CS_74 = 10000. / CSU bars sensors #[Out]# CS_75 = 10000. / CSU bars sensors #[Out]# CS_76 = 10000. / CSU bars sensors #[Out]# CS_77 = 10000. / CSU bars sensors #[Out]# CS_78 = 10000. / CSU bars sensors #[Out]# CS_79 = 10000. / CSU bars sensors #[Out]# CS_80 = 10000. / CSU bars sensors #[Out]# CS_81 = 10000. / CSU bars sensors #[Out]# CS_82 = 10000. / CSU bars sensors #[Out]# CS_83 = 10000. / CSU bars sensors #[Out]# CS_84 = 10000. / CSU bars sensors #[Out]# CS_85 = 10000. / CSU bars sensors #[Out]# CS_86 = 10000. / CSU bars sensors #[Out]# CS_87 = 10000. / CSU bars sensors #[Out]# CS_88 = 10000. / CSU bars sensors #[Out]# CS_89 = 10000. / CSU bars sensors #[Out]# CS_90 = 10000. / CSU bars sensors #[Out]# CS_91 = 10000. / CSU bars sensors #[Out]# CS_92 = 10000. / CSU bars sensors #[Out]# CS_93 = 10000. / CSU bars sensors #[Out]# CS_94 = 10000. / CSU bars sensors #[Out]# CS_95 = 10000. / CSU bars sensors #[Out]# CS_96 = 10000. / CSU bars sensors #[Out]# CS_97 = 10000. / CSU bars sensors #[Out]# CS_98 = 10000. / CSU bars sensors #[Out]# CS_99 = 10000. / CSU bars sensors #[Out]# CS_100 = 10000. / CSU bars sensors #[Out]# CS_101 = 10000. / CSU bars sensors #[Out]# CS_102 = 10000. / CSU bars sensors #[Out]# CS_103 = 10000. / CSU bars sensors #[Out]# CS_104 = 10000. / CSU bars sensors #[Out]# CS_105 = 10000. / CSU bars sensors #[Out]# CS_106 = 10000. / CSU bars sensors #[Out]# CS_107 = 10000. / CSU bars sensors #[Out]# CS_108 = 10000. / CSU bars sensors #[Out]# CS_109 = 10000. / CSU bars sensors #[Out]# CS_110 = 10000. / CSU bars sensors #[Out]# CS_111 = 10000. / CSU bars sensors #[Out]# CS_112 = 10000. / CSU bars sensors #[Out]# CS_113 = 10000. / CSU bars sensors #[Out]# CS_114 = 10000. / CSU bars sensors #[Out]# CS_115 = 10000. / CSU bars sensors #[Out]# CS_116 = 10000. / CSU bars sensors #[Out]# CS_117 = 10000. / CSU bars sensors #[Out]# CS_118 = 10000. / CSU bars sensors #[Out]# CS_119 = 10000. / CSU bars sensors #[Out]# CS_120 = 10000. / CSU bars sensors #[Out]# CS_121 = 10000. / CSU bars sensors #[Out]# CS_122 = 10000. / CSU bars sensors #[Out]# CS_123 = 10000. / CSU bars sensors #[Out]# CS_124 = 10000. / CSU bars sensors #[Out]# CS_125 = 10000. / CSU bars sensors #[Out]# CS_126 = 10000. / CSU bars sensors #[Out]# CS_127 = 10000. / CSU bars sensors #[Out]# CS_128 = 10000. / CSU bars sensors #[Out]# CS_129 = 10000. / CSU bars sensors #[Out]# CS_130 = 10000. / CSU bars sensors #[Out]# CS_131 = 10000. / CSU bars sensors #[Out]# CS_132 = 10000. / CSU bars sensors #[Out]# CS_133 = 10000. / CSU bars sensors #[Out]# CS_134 = 10000. / CSU bars sensors #[Out]# CS_135 = 10000. / CSU bars sensors #[Out]# CS_136 = 10000. / CSU bars sensors #[Out]# CS_137 = 10000. / CSU bars sensors #[Out]# CS_138 = 10000. / CSU bars sensors #[Out]# CS_139 = 10000. / CSU bars sensors #[Out]# CS_140 = 10000. / CSU bars sensors #[Out]# CS_141 = 10000. / CSU bars sensors #[Out]# CS_142 = 10000. / CSU bars sensors #[Out]# CS_143 = 10000. / CSU bars sensors #[Out]# CS_144 = 10000. / CSU bars sensors #[Out]# CS_145 = 10000. / CSU bars sensors #[Out]# CS_146 = 10000. / CSU bars sensors #[Out]# CS_147 = 10000. / CSU bars sensors #[Out]# CS_148 = 10000. / CSU bars sensors #[Out]# CS_149 = 10000. / CSU bars sensors #[Out]# CS_150 = 10000. / CSU bars sensors #[Out]# CS_151 = 10000. / CSU bars sensors #[Out]# CS_152 = 10000. / CSU bars sensors #[Out]# CS_153 = 10000. / CSU bars sensors #[Out]# CS_154 = 10000. / CSU bars sensors #[Out]# CS_155 = 10000. / CSU bars sensors #[Out]# CS_156 = 10000. / CSU bars sensors #[Out]# CS_157 = 10000. / CSU bars sensors #[Out]# CS_158 = 10000. / CSU bars sensors #[Out]# CS_159 = 10000. / CSU bars sensors #[Out]# CS_160 = 10000. / CSU bars sensors #[Out]# CS_161 = 10000. / CSU bars sensors #[Out]# CS_162 = 10000. / CSU bars sensors #[Out]# CS_163 = 10000. / CSU bars sensors #[Out]# CS_164 = 10000. / CSU bars sensors #[Out]# CS_165 = 10000. / CSU bars sensors #[Out]# CS_166 = 10000. / CSU bars sensors #[Out]# CS_167 = 10000. / CSU bars sensors #[Out]# CS_168 = 10000. / CSU bars sensors #[Out]# CS_169 = 10000. / CSU bars sensors #[Out]# CS_170 = 10000. / CSU bars sensors #[Out]# CS_171 = 10000. / CSU bars sensors #[Out]# CS_172 = 10000. / CSU bars sensors #[Out]# CS_173 = 10000. / CSU bars sensors #[Out]# CS_174 = 10000. / CSU bars sensors #[Out]# CS_175 = 10000. / CSU bars sensors #[Out]# CS_176 = 10000. / CSU bars sensors #[Out]# CS_177 = 10000. / CSU bars sensors #[Out]# CS_178 = 10000. / CSU bars sensors #[Out]# CS_179 = 10000. / CSU bars sensors #[Out]# CS_180 = 10000. / CSU bars sensors #[Out]# CS_181 = 10000. / CSU bars sensors #[Out]# CS_182 = 10000. / CSU bars sensors #[Out]# CS_183 = 10000. / CSU bars sensors #[Out]# CS_184 = 10000. / CSU bars sensors #[Out]# CS_185 = 10000. / CSU bars sensors #[Out]# CS_186 = 10000. / CSU bars sensors #[Out]# CS_187 = 10000. / CSU bars sensors #[Out]# CS_188 = 10000. / CSU bars sensors #[Out]# CS_189 = 10000. / CSU bars sensors #[Out]# CS_190 = 10000. / CSU bars sensors #[Out]# CS_191 = 10000. / CSU bars sensors #[Out]# CS_192 = 10000. / CSU bars sensors #[Out]# CS_193 = 10000. / CSU bars sensors #[Out]# CS_194 = 10000. / CSU bars sensors #[Out]# CS_195 = 10000. / CSU bars sensors #[Out]# CS_196 = 10000. / CSU bars sensors #[Out]# CS_197 = 10000. / CSU bars sensors #[Out]# CS_198 = 10000. / CSU bars sensors #[Out]# CS_199 = 10000. / CSU bars sensors #[Out]# CS_200 = 10000. / CSU bars sensors #[Out]# CS_201 = 10000. / CSU bars sensors #[Out]# CS_202 = 10000. / CSU bars sensors #[Out]# CS_203 = 10000. / CSU bars sensors #[Out]# CS_204 = 10000. / CSU bars sensors #[Out]# CS_205 = 10000. / CSU bars sensors #[Out]# CS_206 = 10000. / CSU bars sensors #[Out]# CS_207 = 10000. / CSU bars sensors #[Out]# CS_208 = 10000. / CSU bars sensors #[Out]# CS_209 = 10000. / CSU bars sensors #[Out]# CS_210 = 10000. / CSU bars sensors #[Out]# CS_211 = 10000. / CSU bars sensors #[Out]# CS_212 = 10000. / CSU bars sensors #[Out]# CS_213 = 10000. / CSU bars sensors #[Out]# CS_214 = 10000. / CSU bars sensors #[Out]# CS_215 = 10000. / CSU bars sensors #[Out]# CS_216 = 10000. / CSU bars sensors #[Out]# CS_217 = 10000. / CSU bars sensors #[Out]# CS_218 = 10000. / CSU bars sensors #[Out]# CS_219 = 10000. / CSU bars sensors #[Out]# CS_220 = 10000. / CSU bars sensors #[Out]# CS_221 = 10000. / CSU bars sensors #[Out]# CS_222 = 10000. / CSU bars sensors #[Out]# CS_223 = 10000. / CSU bars sensors #[Out]# CS_224 = 10000. / CSU bars sensors #[Out]# CS_225 = 10000. / CSU bars sensors #[Out]# CS_226 = 10000. / CSU bars sensors #[Out]# CS_227 = 10000. / CSU bars sensors #[Out]# CS_228 = 10000. / CSU bars sensors #[Out]# CS_229 = 10000. / CSU bars sensors #[Out]# CS_230 = 10000. / CSU bars sensors #[Out]# CS_231 = 10000. / CSU bars sensors #[Out]# CS_232 = 10000. / CSU bars sensors #[Out]# CS_233 = 10000. / CSU bars sensors #[Out]# CS_234 = 10000. / CSU bars sensors #[Out]# CS_235 = 10000. / CSU bars sensors #[Out]# CS_236 = 10000. / CSU bars sensors #[Out]# CS_237 = 10000. / CSU bars sensors #[Out]# CS_238 = 10000. / CSU bars sensors #[Out]# CS_239 = 10000. / CSU bars sensors #[Out]# CS_240 = 10000. / CSU bars sensors #[Out]# CS_241 = 10000. / CSU bars sensors #[Out]# CS_242 = 10000. / CSU bars sensors #[Out]# CS_243 = 10000. / CSU bars sensors #[Out]# CS_244 = 10000. / CSU bars sensors #[Out]# CS_245 = 10000. / CSU bars sensors #[Out]# CS_246 = 10000. / CSU bars sensors #[Out]# CS_247 = 10000. / CSU bars sensors #[Out]# CS_248 = 10000. / CSU bars sensors #[Out]# CS_249 = 10000. / CSU bars sensors #[Out]# CS_250 = 10000. / CSU bars sensors #[Out]# CS_251 = 10000. / CSU bars sensors #[Out]# CS_252 = 10000. / CSU bars sensors #[Out]# CS_253 = 10000. / CSU bars sensors #[Out]# CS_254 = 10000. / CSU bars sensors #[Out]# CS_255 = 10000. / CSU bars sensors #[Out]# CS_256 = 10000. / CSU bars sensors #[Out]# CS_257 = 10000. / CSU bars sensors #[Out]# CS_258 = 10000. / CSU bars sensors #[Out]# CS_259 = 10000. / CSU bars sensors #[Out]# CS_260 = 10000. / CSU bars sensors #[Out]# CS_261 = 10000. / CSU bars sensors #[Out]# CS_262 = 10000. / CSU bars sensors #[Out]# CS_263 = 10000. / CSU bars sensors #[Out]# CS_264 = 10000. / CSU bars sensors #[Out]# CS_265 = 10000. / CSU bars sensors #[Out]# CS_266 = 10000. / CSU bars sensors #[Out]# CS_267 = 10000. / CSU bars sensors #[Out]# CS_268 = 10000. / CSU bars sensors #[Out]# CS_269 = 10000. / CSU bars sensors #[Out]# CS_270 = 10000. / CSU bars sensors #[Out]# CS_271 = 10000. / CSU bars sensors #[Out]# CS_272 = 10000. / CSU bars sensors #[Out]# CS_273 = 10000. / CSU bars sensors #[Out]# CS_274 = 10000. / CSU bars sensors #[Out]# CS_275 = 10000. / CSU bars sensors #[Out]# CS_276 = 10000. / CSU bars sensors #[Out]# CS_277 = 10000. / CSU bars sensors #[Out]# CS_278 = 10000. / CSU bars sensors #[Out]# CS_279 = 10000. / CSU bars sensors #[Out]# CS_280 = 10000. / CSU bars sensors #[Out]# CS_281 = 10000. / CSU bars sensors #[Out]# CS_282 = 10000. / CSU bars sensors #[Out]# CS_283 = 10000. / CSU bars sensors #[Out]# CS_284 = 10000. / CSU bars sensors #[Out]# CS_285 = 10000. / CSU bars sensors #[Out]# CS_286 = 10000. / CSU bars sensors #[Out]# CS_287 = 10000. / CSU bars sensors #[Out]# CS_288 = 10000. / CSU bars sensors #[Out]# CS_289 = 10000. / CSU bars sensors #[Out]# CS_290 = 10000. / CSU bars sensors #[Out]# CS_291 = 10000. / CSU bars sensors #[Out]# CS_292 = 10000. / CSU bars sensors #[Out]# CS_293 = 10000. / CSU bars sensors #[Out]# CS_294 = 10000. / CSU bars sensors #[Out]# CS_295 = 10000. / CSU bars sensors #[Out]# CS_296 = 10000. / CSU bars sensors #[Out]# CS_297 = 10000. / CSU bars sensors #[Out]# CS_298 = 10000. / CSU bars sensors #[Out]# CS_299 = 10000. / CSU bars sensors #[Out]# CS_300 = 10000. / CSU bars sensors #[Out]# CS_301 = 10000. / CSU bars sensors #[Out]# CS_302 = 10000. / CSU bars sensors #[Out]# CS_303 = 10000. / CSU bars sensors #[Out]# CS_304 = 10000. / CSU bars sensors #[Out]# CS_305 = 10000. / CSU bars sensors #[Out]# CS_306 = 10000. / CSU bars sensors #[Out]# CS_307 = 10000. / CSU bars sensors #[Out]# CS_308 = 10000. / CSU bars sensors #[Out]# CS_309 = 10000. / CSU bars sensors #[Out]# CS_310 = 10000. / CSU bars sensors #[Out]# CS_311 = 10000. / CSU bars sensors #[Out]# CS_312 = 10000. / CSU bars sensors #[Out]# CS_313 = 10000. / CSU bars sensors #[Out]# CS_314 = 10000. / CSU bars sensors #[Out]# CS_315 = 10000. / CSU bars sensors #[Out]# CS_316 = 10000. / CSU bars sensors #[Out]# CS_317 = 10000. / CSU bars sensors #[Out]# CS_318 = 10000. / CSU bars sensors #[Out]# CS_319 = 10000. / CSU bars sensors #[Out]# CS_320 = 10000. / CSU bars sensors #[Out]# CS_321 = 10000. / CSU bars sensors #[Out]# CS_322 = 10000. / CSU bars sensors #[Out]# CS_323 = 10000. / CSU bars sensors #[Out]# CS_324 = 10000. / CSU bars sensors #[Out]# CS_325 = 10000. / CSU bars sensors #[Out]# CS_326 = 10000. / CSU bars sensors #[Out]# CS_327 = 10000. / CSU bars sensors #[Out]# CS_328 = 10000. / CSU bars sensors #[Out]# CS_329 = 10000. / CSU bars sensors #[Out]# CS_330 = 10000. / CSU bars sensors #[Out]# CS_331 = 10000. / CSU bars sensors #[Out]# CS_332 = 10000. / CSU bars sensors #[Out]# CS_333 = 10000. / CSU bars sensors #[Out]# CS_334 = 10000. / CSU bars sensors #[Out]# CS_335 = 10000. / CSU bars sensors #[Out]# CS_336 = 10000. / CSU bars sensors #[Out]# CS_337 = 10000. / CSU bars sensors #[Out]# CS_338 = 10000. / CSU bars sensors #[Out]# CS_339 = 10000. / CSU bars sensors #[Out]# CS_340 = 10000. / CSU bars sensors #[Out]# CS_341 = 10000. / CSU bars sensors #[Out]# CS_342 = 10000. / CSU bars sensors #[Out]# CS_343 = 10000. / CSU bars sensors #[Out]# CS_344 = 10000. / CSU bars sensors #[Out]# CS_345 = 10000. / CSU bars sensors #[Out]# CS_346 = 10000. / CSU bars sensors #[Out]# CS_347 = 10000. / CSU bars sensors #[Out]# CS_348 = 10000. / CSU bars sensors #[Out]# CS_349 = 10000. / CSU bars sensors #[Out]# CS_350 = 10000. / CSU bars sensors #[Out]# CS_351 = 10000. / CSU bars sensors #[Out]# CS_352 = 10000. / CSU bars sensors #[Out]# CS_353 = 10000. / CSU bars sensors #[Out]# CS_354 = 10000. / CSU bars sensors #[Out]# CS_355 = 10000. / CSU bars sensors #[Out]# CS_356 = 10000. / CSU bars sensors #[Out]# CS_357 = 10000. / CSU bars sensors #[Out]# CS_358 = 10000. / CSU bars sensors #[Out]# CS_359 = 10000. / CSU bars sensors #[Out]# CS_360 = 10000. / CSU bars sensors #[Out]# CS_361 = 10000. / CSU bars sensors #[Out]# CS_362 = 10000. / CSU bars sensors #[Out]# CS_363 = 10000. / CSU bars sensors #[Out]# CS_364 = 10000. / CSU bars sensors #[Out]# CS_365 = 10000. / CSU bars sensors #[Out]# CS_366 = 10000. / CSU bars sensors #[Out]# CS_367 = 10000. / CSU bars sensors #[Out]# CS_368 = 10000. / CSU bars sensors #[Out]# CS_369 = 10000. / CSU bars sensors #[Out]# CS_370 = 10000. / CSU bars sensors #[Out]# CS_371 = 10000. / CSU bars sensors #[Out]# CS_372 = 10000. / CSU bars sensors #[Out]# CS_373 = 10000. / CSU bars sensors #[Out]# CS_374 = 10000. / CSU bars sensors #[Out]# CS_375 = 10000. / CSU bars sensors #[Out]# CS_376 = 10000. / CSU bars sensors #[Out]# CS_377 = 10000. / CSU bars sensors #[Out]# CS_378 = 10000. / CSU bars sensors #[Out]# CS_379 = 10000. / CSU bars sensors #[Out]# CS_380 = 10000. / CSU bars sensors #[Out]# CS_381 = 10000. / CSU bars sensors #[Out]# CS_382 = 10000. / CSU bars sensors #[Out]# CS_383 = 10000. / CSU bars sensors #[Out]# CS_384 = 10000. / CSU bars sensors #[Out]# CS_385 = 10000. / CSU bars sensors #[Out]# CS_386 = 10000. / CSU bars sensors #[Out]# CS_387 = 10000. / CSU bars sensors #[Out]# CS_388 = 10000. / CSU bars sensors #[Out]# CS_389 = 10000. / CSU bars sensors #[Out]# CS_390 = 10000. / CSU bars sensors #[Out]# CS_391 = 10000. / CSU bars sensors #[Out]# CS_392 = 10000. / CSU bars sensors #[Out]# CS_393 = 10000. / CSU bars sensors #[Out]# CS_394 = 10000. / CSU bars sensors #[Out]# CS_395 = 10000. / CSU bars sensors #[Out]# CS_396 = 10000. / CSU bars sensors #[Out]# CS_397 = 10000. / CSU bars sensors #[Out]# CS_398 = 10000. / CSU bars sensors #[Out]# CS_399 = 10000. / CSU bars sensors #[Out]# CS_400 = 10000. / CSU bars sensors #[Out]# CS_401 = 10000. / CSU bars sensors #[Out]# CS_402 = 10000. / CSU bars sensors #[Out]# CS_403 = 10000. / CSU bars sensors #[Out]# CS_404 = 10000. / CSU bars sensors #[Out]# CS_405 = 10000. / CSU bars sensors #[Out]# CS_406 = 10000. / CSU bars sensors #[Out]# CS_407 = 10000. / CSU bars sensors #[Out]# CS_408 = 10000. / CSU bars sensors #[Out]# CS_409 = 10000. / CSU bars sensors #[Out]# CS_410 = 10000. / CSU bars sensors #[Out]# CS_411 = 10000. / CSU bars sensors #[Out]# CS_412 = 10000. / CSU bars sensors #[Out]# CS_413 = 10000. / CSU bars sensors #[Out]# CS_414 = 10000. / CSU bars sensors #[Out]# CS_415 = 10000. / CSU bars sensors #[Out]# CS_416 = 10000. / CSU bars sensors #[Out]# CS_417 = 10000. / CSU bars sensors #[Out]# CS_418 = 10000. / CSU bars sensors #[Out]# CS_419 = 10000. / CSU bars sensors #[Out]# CS_420 = 10000. / CSU bars sensors #[Out]# CS_421 = 10000. / CSU bars sensors #[Out]# CS_422 = 10000. / CSU bars sensors #[Out]# CS_423 = 10000. / CSU bars sensors #[Out]# CS_424 = 10000. / CSU bars sensors #[Out]# CS_425 = 10000. / CSU bars sensors #[Out]# CS_426 = 10000. / CSU bars sensors #[Out]# CS_427 = 10000. / CSU bars sensors #[Out]# CS_428 = 10000. / CSU bars sensors #[Out]# CS_429 = 10000. / CSU bars sensors #[Out]# CS_430 = 10000. / CSU bars sensors #[Out]# CS_431 = 10000. / CSU bars sensors #[Out]# CS_432 = 10000. / CSU bars sensors #[Out]# CS_433 = 10000. / CSU bars sensors #[Out]# CS_434 = 10000. / CSU bars sensors #[Out]# CS_435 = 10000. / CSU bars sensors #[Out]# CS_436 = 10000. / CSU bars sensors #[Out]# CS_437 = 10000. / CSU bars sensors #[Out]# CS_438 = 10000. / CSU bars sensors #[Out]# CS_439 = 10000. / CSU bars sensors #[Out]# SLIFL1 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL2 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL3 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL4 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL5 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL6 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL7 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL8 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL9 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL10 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL11 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL12 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL13 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL14 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL15 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL16 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL17 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL18 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL19 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL20 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL21 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL22 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL23 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL24 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL25 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL26 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL27 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL28 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL29 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL30 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL31 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL32 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL33 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL34 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL35 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL36 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL37 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL38 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL39 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL40 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL41 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL42 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL43 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL44 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL45 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL46 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL47 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL48 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL49 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL50 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL51 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL52 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL53 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL54 = 0 / Slit flag for assigned or reference slits #[Out]# SLIFL55 = 0 / Slit flag for assigned or reference slits #[Out]# XVSLI1 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI2 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI3 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI4 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI5 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI6 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI7 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI8 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI9 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI10 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI11 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI12 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI13 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI14 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI15 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI16 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI17 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI18 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI19 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI20 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI21 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI22 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI23 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI24 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI25 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI26 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI27 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI28 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI29 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI30 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI31 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI32 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI33 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI34 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI35 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI36 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI37 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI38 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI39 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI40 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI41 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI42 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI43 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI44 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI45 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI46 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI47 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI48 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI49 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI50 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI51 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI52 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI53 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI54 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# XVSLI55 = -100. / X coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI1 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI2 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI3 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI4 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI5 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI6 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI7 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI8 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI9 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI10 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI11 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI12 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI13 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI14 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI15 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI16 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI17 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI18 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI19 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI20 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI21 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI22 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI23 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI24 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI25 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI26 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI27 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI28 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI29 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI30 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI31 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI32 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI33 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI34 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI35 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI36 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI37 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI38 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI39 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI40 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI41 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI42 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI43 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI44 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI45 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI46 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI47 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI48 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI49 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI50 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI51 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI52 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI53 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI54 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# YVSLI55 = -100. / Y coord. (vpix) of the obj. assigned to the sli #[Out]# XRSLI1 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI2 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI3 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI4 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI5 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI6 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI7 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI8 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI9 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI10 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI11 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI12 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI13 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI14 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI15 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI16 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI17 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI18 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI19 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI20 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI21 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI22 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI23 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI24 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI25 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI26 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI27 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI28 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI29 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI30 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI31 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI32 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI33 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI34 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI35 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI36 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI37 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI38 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI39 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI40 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI41 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI42 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI43 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI44 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI45 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI46 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI47 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI48 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI49 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI50 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI51 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI52 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI53 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI54 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# XRSLI55 = -100. / X coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI1 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI2 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI3 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI4 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI5 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI6 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI7 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI8 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI9 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI10 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI11 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI12 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI13 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI14 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI15 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI16 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI17 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI18 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI19 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI20 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI21 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI22 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI23 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI24 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI25 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI26 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI27 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI28 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI29 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI30 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI31 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI32 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI33 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI34 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI35 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI36 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI37 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI38 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI39 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI40 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI41 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI42 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI43 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI44 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI45 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI46 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI47 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI48 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI49 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI50 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI51 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI52 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI53 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI54 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# YRSLI55 = -100. / Y coord. (pix) of the obj. assigned to the slit #[Out]# TEMPDET = 69.9599990844727 / Temperature at place #[Out]# PRESEMIR= 2.65633985918612E-07 / Pressure at place #[Out]# WCTEMP = 16.8999996185303 / Temperature in Celsius at EMIR Window #[Out]# WCHUM = 14. / Humidity in percentage at EMIR Window #[Out]# WCDWP = -10.6999998092651 / DewPoint in Celsius at EMIR window #[Out]# IPA = 90.0500000000004 / Instrument position angle in degrees (degrees) #[Out]# AIRMASS = 1.30835942623114 / AIRMASS #[Out]# AIRPRESS= 781.8377 / Mean atmospheric pressure during the RA #[Out]# RA = '19:23:41.411' / Telescope right ascension (HH:MM:SS) (h:m:s) #[Out]# DEC = '14:30:18.825' / Telescope declination (DD:PP:SS) (d:m:s) #[Out]# RADEG = 290.922547408529 / Telescope right ascension in decimal degrees. ( #[Out]# DECDEG = 14.5052292777092 / Telescope declination in degrees (degrees) #[Out]# OESTATE = 2 / Observing State (OFF/SLEWING/TRACKING/GUIDING) #[Out]# AZIMUTH = 259.498906824101 / Tel. azimuth at start time (degrees) #[Out]# ELEVAT = 49.7979634711328 / Elevation at start of observation (degrees) #[Out]# ROTANG = 157.738519685649 / Rotator position angle in degrees. #[Out]# TURNTBL1= -40.0022601744186 / Turntable1 position in degrees #[Out]# ARMROT1 = 29.9986125 / ArmRotator1 position in degrees #[Out]# TURNTBL2= -39.9987961785368 / Turntable2 position in degrees #[Out]# ARMROT2 = -50.0000625 / ArmRotator2 position in degrees #[Out]# DEWPOINT= -10.1454 / Ambient dew point in Celsius degrees #[Out]# HUMIDITY= 13.81 / Ambient humidity in percent. #[Out]# PRESSURE= 781.8377 / Ambient atmospheric pressure (hPascal) #[Out]# TAMBIENT= 18.687 / Ambient temperature in Celsius degrees #[Out]# WINDDIRE= 331. / Wind direction (from) in degrees from N to E #[Out]# WINDSPEE= 3.18673333333391 / Wind speed in m/s #[Out]# DOMETEMP= 18.7537777777778 / Temperature inside the dome #[Out]# M2UX = 1.9619699716568 / GTC secondary mirror UX position #[Out]# M2UY = 2.3966600894928 / GTC secondary mirror UY position #[Out]# M2UZ = -2.50573992729187 / GTC secondary mirror UZ position #[Out]# M2RX = 0.000615641998592764 / GTC secondary mirror RX position #[Out]# M2RY = -0.000510331010445952 / GTC secondary mirror RY position #[Out]# LAMPXE1 = 0 / GTC Xe1 spectral lamp #[Out]# LAMPNE1 = 0 / GTC Ne1 spectral lamp #[Out]# LAMPHG1 = 0 / GTC Hg(Ar)1 spectral lamp #[Out]# LAMPXE2 = 0 / GTC Hg(Ar)2 spectral lamp #[Out]# LAMPNE2 = 0 / GTC Ne2 spectral lamp #[Out]# LAMPHG2 = 0 / GTC Hg(Ar)2 spectral lamp #[Out]# LAMPINCD= 0 / GTC incandescent lamp #[Out]# LAMPINTN= 0. / GTC incandescent lamp intensity #[Out]# OBJECT = 'W51A ' / Object name #[Out]# INSMODE = ' ' / Instrument Mode #[Out]# OBSTYPE = 'OBJECT ' / Observation Type #[Out]# PI = 'aginsburg' / Principal Investigator #[Out]# OBSERVER= 'SA ' / Observer Name (SA = support astronomer) #[Out]# GTCPRGID= 'GTC2-20AFLO' / Program Identifier #[Out]# GTCOBID = '0001 ' / Observation Block ID #[Out]# TELESCOP= 'GTC ' / Telescope id. #[Out]# OBSMODE = 'STARE_IMAGE' / Observation Mode #[Out]# ORIGIN = 'GRANTECAN' / FITS file originator #[Out]# OBSERVAT= 'ORM ' / Name of observatory (IRAF style) #[Out]# LATITUDE= '+28:45:43.2' / Telescope latitude (degrees), +28:45:43.2 #[Out]# LONGITUD= '+17:52:39.5' / Telescope longitude (degrees), +17:52:39.5 #[Out]# HEIGHT = 2348 / Telescope height above sea level (m) #[Out]# CTYPE1 = 'RA---ZPN' / R.A. in tangent plane projection #[Out]# CTYPE2 = 'DEC--ZPN' / DEC. in tangent plane projection #[Out]# RADESYS = 'FK5 ' / Equatorial coordinate system #[Out]# EQUINOX = 2000. / Epoch of the mean equinox for WCS #[Out]# CRVAL1 = 290.922547408529 / RA at Ref pix in decimal degrees #[Out]# CRVAL2 = 14.5052292777092 / DEC at Ref pix in decimal degrees #[Out]# CRPIX1 = 1022.4864072389 / Ref pix of axis 1 #[Out]# CRPIX2 = 1016.55651287301 / Ref pix of axis 2 #[Out]# CD1_1 = -5.41620904877093E-05 / WCS matrix element 1,1 #[Out]# CD1_2 = -4.72653524372305E-08 / WCS matrix element 1,2 #[Out]# CD2_1 = 4.72653524372305E-08 / WCS matrix element 2,1 #[Out]# CD2_2 = -5.41620904877093E-05 / WCS matrix element 2,2 #[Out]# PV2_1 = 1. #[Out]# PV2_2 = 0. #[Out]# PV2_3 = 14584.8 #[Out]# PV2_4 = 0. #[Out]# PV2_5 = 1755295542.4 #[Out]# PCD1_1 = -3.58179062439342E-17 / WCS matrix element 1,1 #[Out]# PCD1_2 = 0.1949836 / WCS matrix element 1,2 #[Out]# PCD2_1 = -0.1949836 / WCS matrix element 2,1 #[Out]# PCD2_2 = -3.58179062439342E-17 / WCS matrix element 2,2 #[Out]# PCRPIX1 = 1022.49 / Reference pixel for coordinate transformation #[Out]# PCRPIX2 = 1016.56 / Reference pixel for coordinate transformation #[Out]# BUNIT = 'ADU ' / Data Units; adu for raw; adu/s preproc #[Out]# INSTRUME= 'EMIR ' / EMIR #[Out]# COMMENT ***OBSERVATION BLOCK**** #[Out]# DATE-OBS= '2020-07-13T03:53:27.71' / Date of observation (start) in Y2K complian #[Out]# UTC = '03:53:27.719928' / Coordinate UT of the observation (start) #[Out]# DETPA = 0. / Detector position angle [deg] wrt FP #[Out]# DTUPA = 2.35797393 / DTU position angle [deg] wrt FP #[Out]# FPPA = 270. / Focal Plane position angle [deg] wrt nominal FO #[Out]# PSCFP = 1.1746 / Plate scale at the focal plane #[Out]# PXSZCSU = 0.166 / Projected pixel size at the focal plane (CSU) #[Out]# PXSZDET = 18. / Pixel size at the detector #[Out]# ROTOFF = 90.05 / Rotator offset #[Out]# COMMENT ***INSTRUMENT CONF. BLOCK*** #[Out]# TELPOS = 'SOURCE ' / TELPOS (SKY/SOURCE/SKYFLAT/DOMEFLAT/NOD_A/NOD_B #[Out]# FILTPOS = 2 / Filter wheel position #[Out]# GRISMPOS= 6 / Grism wheel position #[Out]# FILTER = 'J ' / Filter name #[Out]# GRISM = 'OPEN ' / Grism name #[Out]# XDTU = -221.300003051758 / Actual DTU-X position #[Out]# YDTU = -36.6703987121582 / Actual DTU-Y position #[Out]# ZDTU = -534.966979980469 / Actual DTU-Z position #[Out]# XDTU_0 = -220.880996704102 / DTU-X which centres the detector in FOV #[Out]# YDTU_0 = -36.6697998046875 / DTU-Y which centres the detector in FOV #[Out]# ZDTU_0 = -535.02099609375 / DTU-Z which best focus the det. #[Out]# CSUCONFF= 'UNKNOWN ' / CSU Configuration File #[Out]# MASKID = ' ' / Mask identifier #[Out]# OBJSL1 = ' ' / Objects assigned to slit #[Out]# COMSL1 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL2 = ' ' / Objects assigned to slit #[Out]# COMSL2 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL3 = ' ' / Objects assigned to slit #[Out]# COMSL3 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL4 = ' ' / Objects assigned to slit #[Out]# COMSL4 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL5 = ' ' / Objects assigned to slit #[Out]# COMSL5 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL6 = ' ' / Objects assigned to slit #[Out]# COMSL6 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL7 = ' ' / Objects assigned to slit #[Out]# COMSL7 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL8 = ' ' / Objects assigned to slit #[Out]# COMSL8 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL9 = ' ' / Objects assigned to slit #[Out]# COMSL9 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL10 = ' ' / Objects assigned to slit #[Out]# COMSL10 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL11 = ' ' / Objects assigned to slit #[Out]# COMSL11 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL12 = ' ' / Objects assigned to slit #[Out]# COMSL12 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL13 = ' ' / Objects assigned to slit #[Out]# COMSL13 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL14 = ' ' / Objects assigned to slit #[Out]# COMSL14 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL15 = ' ' / Objects assigned to slit #[Out]# COMSL15 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL16 = ' ' / Objects assigned to slit #[Out]# COMSL16 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL17 = ' ' / Objects assigned to slit #[Out]# COMSL17 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL18 = ' ' / Objects assigned to slit #[Out]# COMSL18 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL19 = ' ' / Objects assigned to slit #[Out]# COMSL19 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL20 = ' ' / Objects assigned to slit #[Out]# COMSL20 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL21 = ' ' / Objects assigned to slit #[Out]# COMSL21 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL22 = ' ' / Objects assigned to slit #[Out]# COMSL22 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL23 = ' ' / Objects assigned to slit #[Out]# COMSL23 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL24 = ' ' / Objects assigned to slit #[Out]# COMSL24 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL25 = ' ' / Objects assigned to slit #[Out]# COMSL25 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL26 = ' ' / Objects assigned to slit #[Out]# COMSL26 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL27 = ' ' / Objects assigned to slit #[Out]# COMSL27 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL28 = ' ' / Objects assigned to slit #[Out]# COMSL28 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL29 = ' ' / Objects assigned to slit #[Out]# COMSL29 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL30 = ' ' / Objects assigned to slit #[Out]# COMSL30 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL31 = ' ' / Objects assigned to slit #[Out]# COMSL31 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL32 = ' ' / Objects assigned to slit #[Out]# COMSL32 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL33 = ' ' / Objects assigned to slit #[Out]# COMSL33 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL34 = ' ' / Objects assigned to slit #[Out]# COMSL34 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL35 = ' ' / Objects assigned to slit #[Out]# COMSL35 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL36 = ' ' / Objects assigned to slit #[Out]# COMSL36 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL37 = ' ' / Objects assigned to slit #[Out]# COMSL37 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL38 = ' ' / Objects assigned to slit #[Out]# COMSL38 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL39 = ' ' / Objects assigned to slit #[Out]# COMSL39 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL40 = ' ' / Objects assigned to slit #[Out]# COMSL40 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL41 = ' ' / Objects assigned to slit #[Out]# COMSL41 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL42 = ' ' / Objects assigned to slit #[Out]# COMSL42 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL43 = ' ' / Objects assigned to slit #[Out]# COMSL43 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL44 = ' ' / Objects assigned to slit #[Out]# COMSL44 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL45 = ' ' / Objects assigned to slit #[Out]# COMSL45 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL46 = ' ' / Objects assigned to slit #[Out]# COMSL46 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL47 = ' ' / Objects assigned to slit #[Out]# COMSL47 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL48 = ' ' / Objects assigned to slit #[Out]# COMSL48 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL49 = ' ' / Objects assigned to slit #[Out]# COMSL49 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL50 = ' ' / Objects assigned to slit #[Out]# COMSL50 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL51 = ' ' / Objects assigned to slit #[Out]# COMSL51 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL52 = ' ' / Objects assigned to slit #[Out]# COMSL52 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL53 = ' ' / Objects assigned to slit #[Out]# COMSL53 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL54 = ' ' / Objects assigned to slit #[Out]# COMSL54 = ' ' / Object comment in the user catalogue. #[Out]# OBJSL55 = ' ' / Objects assigned to slit #[Out]# COMSL55 = ' ' / Object comment in the user catalogue. #[Out]# COMMENT *****EXPOSURE BLOCK***** #[Out]# READMODE= 'CDS ' / Detector readout mode in string #[Out]# EXPTIME = 9.999657 / [s] Exposure time #[Out]# SECTIME = 11.054887 / [s] Total time per sequence #[Out]# NOBSBLCK= 13 / Requested blocks in the obs. sequence #[Out]# OBSBLOCK= 1 / Counter of the block sequence #[Out]# NIMGOBBL= 7 / Requested number of images per obs. block #[Out]# IMGOBBL = 1 / Counter of the image sequence #[Out]# COMMENT *****DETECTOR BLOCK***** #[Out]# DRIFTCOR= T / Correction applied #[Out]# COMMENT *****INSTRUMENT STATUS BLOCK***** #[Out]# CYCLENUM= 'II ' / Number of temperature cycle #[Out]# SKYADD = F / Sky observed #[Out]# OBJRADIO= 30. / Nodd throw radius for the dither pattern. #[Out]# COMMENT *****TELESCOPE BLOCK***** #[Out]# COMMENT *****PROCESSING BLOCK***** # https://docs.astropy.org/en/stable/visualization/wcsaxes/ pl.figure(figsize=(12,12)) pl.subplot(projection=ww) # this line makes the image show up with RA/Dec coordinates pl.imshow(filehandle[0].data,) # norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) #[Out]# # https://docs.astropy.org/en/stable/visualization/wcsaxes/ pl.figure(figsize=(12,12)) pl.subplot(projection=ww) # this line makes the image show up with RA/Dec coordinates pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.5)) #[Out]# # cx, cy are 1024 cy, cx = (x/2 for x in filehandle[0].data.shape) cx, cy #[Out]# (1024.0, 1024.0) ww.wcs_pix2world(cx, cy, 0)*u.deg #[Out]# ra, dec = ww.wcs_pix2world(cx, cy, 0)*u.deg ra, dec #[Out]# (, ) center = coordinates.SkyCoord(ra, dec, frame='fk5') center #[Out]# filehandle[0].header['FILTER'] #[Out]# 'J' tables = Vizier(row_limit=10000).query_region(center, radius=5*u.arcmin, catalog='2MASS') tables #[Out]# TableList with 2 tables: #[Out]# '0:II/246/out' with 15 column(s) and 1716 row(s) #[Out]# '1:VII/233/xsc' with 13 column(s) and 12 row(s) table = tables[0] table.meta #[Out]# {'ID': 'II_246_out', #[Out]# 'name': 'II/246/out', #[Out]# 'description': '2MASS Point Source Catalogue, output (on a total of 470,992,970 sources)'} ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) axlims = ax.axis() pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99)) axlims = ax.axis() pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) ax.axis() #[Out]# (-0.5, 2047.5, -0.5, 2047.5) brightstars = table['Jmag'] < 11 brightstars.sum() #[Out]# 14 brightstars = table['Jmag'] < 12 brightstars.sum() #[Out]# 36 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) table['Jmag'] #[Out]# #[Out]# 14.476 #[Out]# 15.728 #[Out]# 15.396 #[Out]# 13.687 #[Out]# 15.914 #[Out]# 13.565 #[Out]# 15.786 #[Out]# 14.609 #[Out]# 15.417 #[Out]# 15.974 #[Out]# 15.962 #[Out]# 16.694 #[Out]# ... #[Out]# 16.380 #[Out]# 15.145 #[Out]# 16.001 #[Out]# 16.505 #[Out]# 14.674 #[Out]# 16.328 #[Out]# 15.585 #[Out]# 14.777 #[Out]# 16.854 #[Out]# 16.948 #[Out]# 15.644 #[Out]# 16.347 table['Jmag'] < 12 #[Out]# masked_array(data=[False, False, False, ..., False, False, False], #[Out]# mask=False, #[Out]# fill_value=True) table['Jmag'][brightmask] table['Jmag'][brightstars] #[Out]# #[Out]# 11.870 #[Out]# 11.924 #[Out]# 9.467 #[Out]# 11.545 #[Out]# 8.295 #[Out]# 11.603 #[Out]# 8.672 #[Out]# 10.018 #[Out]# 11.768 #[Out]# 11.310 #[Out]# 11.075 #[Out]# 9.909 #[Out]# ... #[Out]# 10.911 #[Out]# 11.260 #[Out]# 10.213 #[Out]# 11.898 #[Out]# 11.862 #[Out]# 8.639 #[Out]# 11.462 #[Out]# 9.537 #[Out]# 11.546 #[Out]# 11.844 #[Out]# 10.616 #[Out]# 11.864 table[brightstars] #[Out]#
#[Out]# RAJ2000 DEJ2000 _2MASS Jmag e_Jmag ... Bflg Cflg Xflg Aflg #[Out]# deg deg mag mag ... #[Out]# float64 float64 str17 float32 float32 ... str3 str3 uint8 uint8 #[Out]# ---------- ---------- ---------------- ------- ------- ... ---- ---- ----- ----- #[Out]# 290.885387 14.433283 19233249+1425598 11.870 0.029 ... 121 0c0 0 0 #[Out]# 290.883563 14.436242 19233205+1426104 11.924 0.023 ... 111 000 0 0 #[Out]# 290.856901 14.494410 19232565+1429398 9.467 0.024 ... 111 000 0 0 #[Out]# 290.854934 14.475876 19232518+1428331 11.545 0.023 ... 111 000 0 0 #[Out]# 290.869099 14.465510 19232858+1427558 8.295 0.020 ... 111 000 0 0 #[Out]# 290.927729 14.478181 19234265+1428414 11.603 0.024 ... 111 000 2 0 #[Out]# 290.896063 14.448781 19233505+1426556 8.672 0.018 ... 111 000 2 0 #[Out]# 290.888486 14.461746 19233323+1427422 10.018 0.024 ... 111 000 2 0 #[Out]# 290.914630 14.486144 19233951+1429101 11.768 0.023 ... 111 000 2 0 #[Out]# ... ... ... ... ... ... ... ... ... ... #[Out]# 290.892759 14.507957 19233426+1430286 10.213 0.023 ... 111 000 0 0 #[Out]# 290.973511 14.551600 19235364+1433057 11.898 0.029 ... 111 000 2 0 #[Out]# 290.942194 14.548260 19234612+1432537 11.862 0.027 ... 111 000 2 0 #[Out]# 290.944519 14.515432 19234668+1430555 8.639 0.020 ... 111 000 2 0 #[Out]# 290.959013 14.550743 19235016+1433026 11.462 0.183 ... 111 cc0 2 0 #[Out]# 290.960248 14.549298 19235045+1432574 9.537 0.027 ... 111 000 2 0 #[Out]# 290.902727 14.562981 19233665+1433467 11.546 0.023 ... 111 000 0 0 #[Out]# 290.921168 14.578784 19234108+1434436 11.844 0.023 ... 111 000 0 0 #[Out]# 290.916457 14.567991 19233994+1434047 10.616 0.023 ... 111 000 0 0 #[Out]# 290.931891 14.574841 19234365+1434294 11.864 0.026 ... 111 000 0 0 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) get_ipython().run_line_magic('pwd', '') #[Out]# '/orange/adamginsburg/w51/gtc/GTC2-20AFLO/OB0001/object' get_ipython().run_line_magic('ls', '../../') get_ipython().run_line_magic('ls', '../../../') pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') #[Out]# [] pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) ww.wcs_world2pix(table_coordinates.ra, table_coordinates.dec, 0) #[Out]# [array([1.90416911e+03, 1.22708141e+03, 1.23807713e+03, ..., #[Out]# 5.37819238e+02, 3.09876249e-01, 5.36906589e+02]), #[Out]# array([2357.80265047, 2447.28902649, 2354.90826303, ..., -446.85786946, #[Out]# -133.77509257, -473.7452817 ])] xc, yc = ww.wcs_world2pix(table_coordinates.ra, table_coordinates.dec, 0) ra, dec = ww.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0) ra, de ra, dec = ww.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0) ra, dec #[Out]# (array([290.96273264, 290.90698346, 290.94045386, 290.88900644, #[Out]# 290.92077933, 290.88756628, 290.8871992 , 290.89250502, #[Out]# 290.90832629, 290.87779142, 290.92793654, 290.96249859, #[Out]# 290.89148251, 290.89150528, 290.97433333, 290.89162701, #[Out]# 290.95965028, 290.95967382, 290.93009552, 290.90192809, #[Out]# 290.97504126, 290.96081144, 290.87337598, 290.88646529, #[Out]# 290.96101417, 290.88647529, 290.960831 , 290.87565101, #[Out]# 290.88649981, 290.9609504 , 290.96854363, 290.94277707, #[Out]# 290.94274397, 290.9427871 , 290.94098396, 290.90583354, #[Out]# 290.88875899, 290.88874497, 290.88962493, 290.88881025, #[Out]# 290.885229 , 290.94399698, 290.95184746, 290.94759108, #[Out]# 290.88233429, 290.95148595, 290.93121679, 290.86976705, #[Out]# 290.91207239, 290.91799485, 290.90923933, 290.92527262, #[Out]# 290.89506508, 290.91013632, 290.93646026, 290.94789924, #[Out]# 290.88553045, 290.97035814, 290.88756551, 290.87075883, #[Out]# 290.8736285 , 290.92596548, 290.92917328, 290.90452065, #[Out]# 290.95765232, 290.90701349, 290.95028684, 290.9047431 , #[Out]# 290.96199374, 290.93171625, 290.91003986, 290.87396377, #[Out]# 290.93042056, 290.94015154, 290.92858965, 290.87525063, #[Out]# 290.94428091, 290.87111319, 290.94576622, 290.96687756, #[Out]# 290.96688108, 290.88141075, 290.95732074, 290.87968706, #[Out]# 290.92232929, 290.94607863, 290.93722826, 290.91352644, #[Out]# 290.91603975, 290.91795866, 290.87756732, 290.96233976, #[Out]# 290.94501556, 290.9180866 , 290.94491387, 290.94505741, #[Out]# 290.95669752, 290.91612817, 290.95361782, 290.92779475, #[Out]# 290.9489472 , 290.94456047, 290.93996868, 290.94320878, #[Out]# 290.94309796, 290.94322869, 290.92826253, 290.88871707, #[Out]# 290.88115839, 290.9055229 , 290.91063166, 290.88547896, #[Out]# 290.94468547, 290.94425356, 290.88601312, 290.88278828, #[Out]# 290.96555264, 290.9058444 , 290.90566954, 290.90584478, #[Out]# 290.90586569, 290.89110236, 290.92690584, 290.89318392, #[Out]# 290.90624017, 290.89315506, 290.8937189 , 290.87914204, #[Out]# 290.91717559, 290.90498759, 290.93560211, 290.90968852, #[Out]# 290.96634071, 290.96029259, 290.8934941 , 290.93122237, #[Out]# 290.93176409, 290.91147 , 290.97109599, 290.96832588, #[Out]# 290.97609301, 290.92923898, 290.91877618, 290.88570805, #[Out]# 290.86612832, 290.91091454, 290.89355017, 290.92748442, #[Out]# 290.87026151, 290.86816829, 290.95164252, 290.9201332 , #[Out]# 290.88619201, 290.93227591, 290.90976159, 290.92550614, #[Out]# 290.88416357, 290.88417471, 290.96817969, 290.89322725, #[Out]# 290.93621723, 290.93203041, 290.89716745, 290.93276924, #[Out]# 290.93527397, 290.97080072, 290.94846004, 290.88125376, #[Out]# 290.88244263, 290.91503541, 290.90523424, 290.91505477, #[Out]# 290.89533923, 290.88676202, 290.952685 , 290.90539041, #[Out]# 290.89543443, 290.92791032, 290.92778815, 290.87722045, #[Out]# 290.93588741, 290.92233213, 290.90435787, 290.9207327 , #[Out]# 290.92816793, 290.94847672, 290.92819067, 290.8787743 , #[Out]# 290.94561098, 290.88847368, 290.87955792, 290.91210278, #[Out]# 290.87916296, 290.87070665, 290.94782795, 290.9477451 , #[Out]# 290.88728926, 290.96002754, 290.90455986, 290.94718696, #[Out]# 290.94718464, 290.89105712, 290.92100265, 290.93858243, #[Out]# 290.91420399, 290.88068487, 290.90533088, 290.86952274, #[Out]# 290.9389899 , 290.93169964, 290.892517 , 290.88363595, #[Out]# 290.9672107 , 290.92280491, 290.87782037, 290.88693667, #[Out]# 290.86937942, 290.86925394, 290.91426806, 290.97257778, #[Out]# 290.95072386, 290.89882429, 290.91719391, 290.88889668, #[Out]# 290.88897908, 290.88883448, 290.93506977, 290.92783394, #[Out]# 290.87753348, 290.90507851, 290.91408857, 290.91408678, #[Out]# 290.91408422, 290.91409145, 290.94696178, 290.88751926, #[Out]# 290.88634044, 290.91848727, 290.88748995, 290.90609829, #[Out]# 290.89884369, 290.89909135, 290.88673306, 290.92995245, #[Out]# 290.89890371, 290.89051063, 290.95467793, 290.96986859, #[Out]# 290.89367508, 290.87361579, 290.9405875 , 290.97453141, #[Out]# 290.93289654, 290.97451331, 290.86897177, 290.88085661, #[Out]# 290.90504206, 290.8735257 ]), #[Out]# array([14.55891228, 14.55934029, 14.55837277, 14.55730484, 14.55726308, #[Out]# 14.55698552, 14.55587973, 14.5558412 , 14.55567525, 14.55491824, #[Out]# 14.55524964, 14.55397887, 14.5537353 , 14.55374866, 14.55083364, #[Out]# 14.55084661, 14.54999751, 14.54994637, 14.55014897, 14.54944704, #[Out]# 14.54838303, 14.54860609, 14.5484762 , 14.54853389, 14.54847092, #[Out]# 14.54856409, 14.5484489 , 14.54832073, 14.548526 , 14.54831613, #[Out]# 14.54769584, 14.54743824, 14.54742202, 14.54744753, 14.54518734, #[Out]# 14.54355735, 14.54268283, 14.54265214, 14.54249406, 14.54258713, #[Out]# 14.54223925, 14.54168843, 14.541388 , 14.53997399, 14.5394532 , #[Out]# 14.53891125, 14.53655165, 14.53552736, 14.53582853, 14.53579761, #[Out]# 14.53538105, 14.53437941, 14.53394184, 14.53373941, 14.53309023, #[Out]# 14.53256405, 14.53236492, 14.53039447, 14.53047879, 14.52999084, #[Out]# 14.52966855, 14.52968199, 14.52951048, 14.52951785, 14.52929682, #[Out]# 14.52846725, 14.52811467, 14.52774665, 14.52699759, 14.52708478, #[Out]# 14.52681557, 14.52554498, 14.52468374, 14.52437492, 14.52343159, #[Out]# 14.52308304, 14.52268493, 14.52255499, 14.52241384, 14.52132599, #[Out]# 14.52133078, 14.52115417, 14.52044464, 14.52001915, 14.51970777, #[Out]# 14.51912007, 14.5179649 , 14.51799281, 14.51775239, 14.51749571, #[Out]# 14.51621901, 14.51517774, 14.51472159, 14.5144857 , 14.51439436, #[Out]# 14.51417693, 14.51387553, 14.51295791, 14.51276168, 14.51262879, #[Out]# 14.51250397, 14.51244757, 14.51241529, 14.51220381, 14.51224524, #[Out]# 14.51224385, 14.51187803, 14.51176166, 14.51129612, 14.51098928, #[Out]# 14.5106678 , 14.50969043, 14.50957517, 14.50930381, 14.50934813, #[Out]# 14.50894684, 14.50858774, 14.50843501, 14.5084109 , 14.50837517, #[Out]# 14.50827876, 14.5077642 , 14.50693197, 14.50691581, 14.50679266, #[Out]# 14.50691063, 14.50661609, 14.50654422, 14.50495413, 14.50492625, #[Out]# 14.50448335, 14.50388534, 14.50367747, 14.50328423, 14.50295913, #[Out]# 14.50277818, 14.50196888, 14.50187512, 14.50138902, 14.50130286, #[Out]# 14.50115962, 14.50116296, 14.50032169, 14.5002551 , 14.500357 , #[Out]# 14.49949253, 14.49893749, 14.49747934, 14.49628737, 14.49629749, #[Out]# 14.49584025, 14.4957818 , 14.49553862, 14.49522927, 14.49483114, #[Out]# 14.49330536, 14.49084919, 14.49072808, 14.49045993, 14.49002269, #[Out]# 14.48983537, 14.48935589, 14.48903622, 14.48770046, 14.48728554, #[Out]# 14.48709481, 14.48691895, 14.48676193, 14.48647718, 14.48512735, #[Out]# 14.48507493, 14.48506876, 14.48447536, 14.48429525, 14.48371214, #[Out]# 14.48345859, 14.48349075, 14.48315271, 14.48180146, 14.48074549, #[Out]# 14.48044457, 14.48015167, 14.47864179, 14.47829909, 14.47721686, #[Out]# 14.47718046, 14.477061 , 14.47723123, 14.47682834, 14.47601579, #[Out]# 14.47598344, 14.47562863, 14.47506313, 14.47515649, 14.47449114, #[Out]# 14.47424168, 14.47352715, 14.47343604, 14.47212419, 14.47104306, #[Out]# 14.47097769, 14.4709531 , 14.4705768 , 14.46962328, 14.4693132 , #[Out]# 14.4695969 , 14.46912169, 14.46874642, 14.46810282, 14.46729256, #[Out]# 14.4668659 , 14.46644406, 14.46565634, 14.46531583, 14.46558488, #[Out]# 14.4647999 , 14.46483053, 14.46470341, 14.46393215, 14.46391753, #[Out]# 14.46275872, 14.46243797, 14.46062937, 14.46076085, 14.46061698, #[Out]# 14.46039451, 14.46005696, 14.45985882, 14.46032477, 14.45965817, #[Out]# 14.45861839, 14.45853208, 14.45853253, 14.45853079, 14.45798368, #[Out]# 14.45766925, 14.4567918 , 14.45637264, 14.45622409, 14.45532836, #[Out]# 14.45505641, 14.45489556, 14.45507556, 14.45467924, 14.45471399, #[Out]# 14.45486299, 14.45458462, 14.45477683, 14.45411365, 14.45383295, #[Out]# 14.45314607, 14.45354794, 14.45293535, 14.45349547, 14.45279194, #[Out]# 14.45175075, 14.45124801, 14.45186401])) ra, dec = ww.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0) get_ipython().run_line_magic('pinfo', 'coordinates.match_coordinates_sky') starfind_coords = coordinates.SkyCoord(ra, dec, frame='fk5') ra, dec = ww.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg starfind_coords = coordinates.SkyCoord(ra, dec, frame='fk5') starfind_coords.shape, table_coordinates.shape #[Out]# ((258,), (1716,)) matches = coordinates.match_coordinates_sky(starfind_coords, table_coordinates) matches #[Out]# (array([1455, 1202, 1417, 1126, 958, 1096, 1088, 1228, 1192, 1169, 1079, #[Out]# 1458, 1130, 1130, 1315, 1170, 1507, 1507, 1048, 1208, 1312, 1507, #[Out]# 855, 1090, 1460, 1090, 1460, 1141, 1090, 1460, 1377, 1429, 1429, #[Out]# 1429, 1415, 1174, 1125, 1125, 1125, 1125, 1104, 1442, 1401, 1388, #[Out]# 1153, 1402, 1024, 870, 974, 939, 978, 1049, 1215, 972, 1037, #[Out]# 1387, 1098, 1293, 1107, 850, 854, 1060, 1077, 1172, 1492, 1201, #[Out]# 1407, 1172, 1461, 1017, 1087, 857, 1028, 1420, 1085, 861, 1437, #[Out]# 845, 1390, 1475, 1475, 1167, 1489, 1140, 948, 1430, 1032, 998, #[Out]# 989, 934, 1135, 1459, 1434, 928, 1434, 1438, 1484, 991, 1468, #[Out]# 1068, 1382, 1438, 1419, 1444, 1444, 1444, 1056, 1123, 1161, 1171, #[Out]# 969, 1097, 1395, 1440, 1097, 1151, 1474, 1189, 1189, 1189, 1189, #[Out]# 1113, 1050, 1216, 1189, 1216, 1216, 1137, 964, 1188, 1042, 1089, #[Out]# 1478, 1480, 1213, 1013, 1013, 971, 1288, 1426, 1301, 1070, 943, #[Out]# 1091, 903, 975, 229, 252, 159, 192, 688, 207, 296, 209, #[Out]# 354, 437, 521, 521, 729, 313, 312, 222, 248, 222, 273, #[Out]# 721, 679, 506, 523, 297, 455, 297, 260, 282, 645, 456, #[Out]# 260, 247, 247, 485, 319, 465, 458, 452, 257, 766, 257, #[Out]# 508, 674, 280, 494, 403, 494, 154, 675, 675, 290, 761, #[Out]# 451, 670, 670, 327, 449, 656, 377, 501, 454, 146, 656, #[Out]# 218, 338, 512, 630, 469, 483, 302, 156, 156, 385, 526, #[Out]# 690, 432, 345, 283, 283, 283, 272, 245, 478, 446, 382, #[Out]# 382, 382, 382, 669, 288, 304, 407, 278, 363, 427, 427, #[Out]# 304, 265, 427, 291, 657, 727, 228, 149, 635, 564, 232, #[Out]# 542, 163, 500, 445, 149]), #[Out]# , #[Out]# ) matches[0].shape #[Out]# (258,) matches #[Out]# (array([1455, 1202, 1417, 1126, 958, 1096, 1088, 1228, 1192, 1169, 1079, #[Out]# 1458, 1130, 1130, 1315, 1170, 1507, 1507, 1048, 1208, 1312, 1507, #[Out]# 855, 1090, 1460, 1090, 1460, 1141, 1090, 1460, 1377, 1429, 1429, #[Out]# 1429, 1415, 1174, 1125, 1125, 1125, 1125, 1104, 1442, 1401, 1388, #[Out]# 1153, 1402, 1024, 870, 974, 939, 978, 1049, 1215, 972, 1037, #[Out]# 1387, 1098, 1293, 1107, 850, 854, 1060, 1077, 1172, 1492, 1201, #[Out]# 1407, 1172, 1461, 1017, 1087, 857, 1028, 1420, 1085, 861, 1437, #[Out]# 845, 1390, 1475, 1475, 1167, 1489, 1140, 948, 1430, 1032, 998, #[Out]# 989, 934, 1135, 1459, 1434, 928, 1434, 1438, 1484, 991, 1468, #[Out]# 1068, 1382, 1438, 1419, 1444, 1444, 1444, 1056, 1123, 1161, 1171, #[Out]# 969, 1097, 1395, 1440, 1097, 1151, 1474, 1189, 1189, 1189, 1189, #[Out]# 1113, 1050, 1216, 1189, 1216, 1216, 1137, 964, 1188, 1042, 1089, #[Out]# 1478, 1480, 1213, 1013, 1013, 971, 1288, 1426, 1301, 1070, 943, #[Out]# 1091, 903, 975, 229, 252, 159, 192, 688, 207, 296, 209, #[Out]# 354, 437, 521, 521, 729, 313, 312, 222, 248, 222, 273, #[Out]# 721, 679, 506, 523, 297, 455, 297, 260, 282, 645, 456, #[Out]# 260, 247, 247, 485, 319, 465, 458, 452, 257, 766, 257, #[Out]# 508, 674, 280, 494, 403, 494, 154, 675, 675, 290, 761, #[Out]# 451, 670, 670, 327, 449, 656, 377, 501, 454, 146, 656, #[Out]# 218, 338, 512, 630, 469, 483, 302, 156, 156, 385, 526, #[Out]# 690, 432, 345, 283, 283, 283, 272, 245, 478, 446, 382, #[Out]# 382, 382, 382, 669, 288, 304, 407, 278, 363, 427, 427, #[Out]# 304, 265, 427, 291, 657, 727, 228, 149, 635, 564, 232, #[Out]# 542, 163, 500, 445, 149]), #[Out]# , #[Out]# ) get_ipython().run_line_magic('pinfo2', 'coordinates.match_coordinates_sky') get_ipython().run_line_magic('pinfo', 'coordinates.match_coordinates_sky') match_index, match_distance, _ = coordinates.match_coordinates_sky(starfind_coords, table_coordinates) pl.hist(match_distance) pl.hist(match_distance.value) #[Out]# (array([ 3., 4., 7., 11., 25., 65., 101., 31., 7., 4.]), #[Out]# array([0.00013594, 0.00028549, 0.00043504, 0.00058459, 0.00073414, #[Out]# 0.00088369, 0.00103324, 0.0011828 , 0.00133235, 0.0014819 , #[Out]# 0.00163145]), #[Out]# ) pl.hist(match_distance.to(u.arcsec).value) #[Out]# (array([ 3., 4., 7., 11., 25., 65., 101., 31., 7., 4.]), #[Out]# array([0.48936726, 1.02775296, 1.56613867, 2.10452438, 2.64291008, #[Out]# 3.18129579, 3.7196815 , 4.2580672 , 4.79645291, 5.33483862, #[Out]# 5.87322432]), #[Out]# ) new_sky_coordinates = table_coordinates[match_index] new_sky_coordinates = table_coordinates[match_index] new_sky_coordinates_xy = ww.wcs_world2pix(new_sky_coordinates.ra, new_sky_coordinates.dec, 0) pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(new_sky_coordinates_xy[0], new_sky_coordinates_xy[1], 'rx') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) from astropy.wcs.utils import fit_wcs_from_points xy_starfind = np.array([starcat['xcentroid'], starcat['ycentroid']]) new_wcs = fit_wcs_from_points(xy_starfind, new_sky_coordinates) new_wcs #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN' 'DEC--TAN' #[Out]# CRVAL : 290.9206483159954 14.50622684857145 #[Out]# CRPIX : 1050.2335442565818 1011.2758435872751 #[Out]# CD1_1 CD1_2 : -5.329112537667141e-05 -4.220216562506491e-08 #[Out]# CD2_1 CD2_2 : 3.0153818048798635e-08 -5.3283752963099265e-05 #[Out]# NAXIS : 1994.1946006769244 2028.2073632349282 new_wcs = fit_wcs_from_points(xy_starfind, new_sky_coordinates, sip_degree=2) new_wcs #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.9206483159954 14.50622684857145 #[Out]# CRPIX : 1049.9433097196043 1010.5531366978405 #[Out]# CD1_1 CD1_2 : -5.3295974630547286e-05 -7.0994239113834e-08 #[Out]# CD2_1 CD2_2 : 2.700699761702411e-08 -5.3277872668169876e-05 #[Out]# NAXIS : 1994.1946006769244 2028.2073632349282 new_wcs.sip #[Out]# new_wcs = fit_wcs_from_points(xy_starfind, new_sky_coordinates,)# sip_degree=2) new_wcs #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN' 'DEC--TAN' #[Out]# CRVAL : 290.9206483159954 14.50622684857145 #[Out]# CRPIX : 1050.2335442565818 1011.2758435872751 #[Out]# CD1_1 CD1_2 : -5.329112537667141e-05 -4.220216562506491e-08 #[Out]# CD2_1 CD2_2 : 3.0153818048798635e-08 -5.3283752963099265e-05 #[Out]# NAXIS : 1994.1946006769244 2028.2073632349282 new_wcs = fit_wcs_from_points(xy_starfind, new_sky_coordinates, sip_degree=2) new_wcs #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.9206483159954 14.50622684857145 #[Out]# CRPIX : 1049.9433097196043 1010.5531366978405 #[Out]# CD1_1 CD1_2 : -5.3295974630547286e-05 -7.0994239113834e-08 #[Out]# CD2_1 CD2_2 : 2.700699761702411e-08 -5.3277872668169876e-05 #[Out]# NAXIS : 1994.1946006769244 2028.2073632349282 new_ra, new_dec = new_wcs.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0) pl.plot(new_ra, new_sky_coordinates, 'x') visualization.quantity_support() #[Out]# .MplQuantityConverter at 0x2ae848b78198> pl.plot(new_ra, new_sky_coordinates, 'x') pl.plot(new_ra, new_sky_coordinates.ra, 'x') #[Out]# [] pl.plot(new_ra, new_dec, 'x') pl.plot(new_sky_coordinates.ra, new_sky_coordinates.dec, 'x') #[Out]# [] pl.plot(new_ra-new_sky_coordinates.ra, new_dec-new_sky_coordinates.de, 'x') pl.plot(new_ra-new_sky_coordinates.ra, new_dec-new_sky_coordinates.dec, 'x') new_ra, new_dec = new_wcs.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg pl.plot(new_ra-new_sky_coordinates.ra, new_dec-new_sky_coordinates.dec, 'x') #[Out]# [] pl.plot(new_ra-new_sky_coordinates.ra.to(u.arcsec), new_dec-new_sky_coordinates.dec.to(u.arcsec), 'x') #[Out]# [] pl.plot((new_ra-new_sky_coordinates.ra).to(u.arcsec), (new_dec-new_sky_coordinates.dec).to(u.arcsec), 'x') #[Out]# [] pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(new_sky_coordinates_xy[0], new_sky_coordinates_xy[1], 'rx') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) ra_residual = (new_ra-new_sky_coordinates.ra).to(u.arcsec) dec_residual = (new_dec-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual, dec_residual, 'x') #[Out]# [] bad_matches = (ra_residual < -2*u.arcsec) | (ra_residual > 2*u.arcsec) | (dec_residual > 1*u.arcsec) bad_matches.sum(), len(bad_matches) #[Out]# (58, 258) True or False #[Out]# True x = np.array([True, False]) x or x x = np.array([True, False]) x | x #[Out]# array([ True, False]) x = np.array([True, False]) x &x #[Out]# array([ True, False]) x = np.array([True, False]) x ^ x #[Out]# array([False, False]) new_wcs2 = fit_wcs_from_points(xy_starfind[~bad_matches], new_sky_coordinates[~bad_matches], sip_degree=2) xy_starfind.shape #[Out]# (2, 258) new_wcs2 = fit_wcs_from_points(xy_starfind[:,~bad_matches], new_sky_coordinates[:,~bad_matches], sip_degree=2) xy_starfind2 = xy_starfind.T[~bad_matches].T new_sky_coordinates2 = new_sky_coordinates.T[~bad_matches].T new_wcs2 = fit_wcs_from_points(xy_starfind2, new_sky_coordinates2, sip_degree=2) xy_starfind.T.shape #[Out]# (258, 2) xy_starfind.T.T.shape #[Out]# (2, 258) new_ra2, new_dec2 = new_wcs2.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') #[Out]# [] ra_residual = (new_ra-new_sky_coordinates.ra).to(u.arcsec) dec_residual = (new_dec-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual, dec_residual, 'x') pl.grid() ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') pl.grid() pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) xy_starfind2 = xy_starfind.T[~bad_matches].T new_sky_coordinates2 = new_sky_coordinates.T[~bad_matches].T new_wcs2 = fit_wcs_from_points(xy_starfind2, new_sky_coordinates2, sip_degree=5) new_ra2, new_dec2 = new_wcs2.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') pl.grid() pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) import reproject new_image = reproject.repoject_exact get_ipython().set_next_input('new_image = reproject.reproject_exact');get_ipython().run_line_magic('pinfo', 'reproject.reproject_exact') new_wcs2 #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.92064831525624 14.506229848572652 #[Out]# CRPIX : 1048.3560119416313 1015.8891118464609 #[Out]# CD1_1 CD1_2 : -5.4008453032403673e-05 -5.783228490246018e-08 #[Out]# CD2_1 CD2_2 : 1.9465163085037762e-08 -5.401767724807172e-05 #[Out]# NAXIS : 1994.1946006769244 2028.2073632349282 len(files) #[Out]# 234 ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.quiver((new_ra2, new_dec2), (ra_residual2, dec_residual2)) #[Out]# new_ra2 #[Out]# pl.quiver((starcat['xcentroid'], starcat['ycentroid']), (ra_residual2, dec_residual2)) #[Out]# pl.quiver(starcat['xcentroid'], starcat['ycentroid'], ra_residual2, dec_residual2) #[Out]# ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.quiver(new_ra2, new_dec2, ra_residual2, dec_residual2) #[Out]# ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.quiver(X=new_ra2, Y=new_dec2, U=ra_residual2, V=dec_residual2) ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.quiver(X=new_ra2, Y=new_dec2, U=ra_residual2.value, V=dec_residual2.value) ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.quiver(X=new_ra2.value, Y=new_dec2, U=ra_residual2.value, V=dec_residual2.value) ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.quiver(X=new_ra2.value, Y=new_dec2.value, U=ra_residual2.value, V=dec_residual2.value) get_ipython().run_line_magic('pinfo', 'pl.quiver') ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.quiver(new_ra2.value, new_dec2.value, ra_residual2.value, dec_residual2.value) #[Out]# pl.quiver(starcat['xcentroid'], starcat['ycentroid'], ra_residual2.value, dec_residual2.value) #[Out]# pl.quiver(starcat['xcentroid'], starcat['ycentroid'], ra_residual2.value, dec_residual2.value, 'w') pl.quiver(starcat['xcentroid'], starcat['ycentroid'], ra_residual2.value, dec_residual2.value, C='w') pl.quiver(starcat['xcentroid'], starcat['ycentroid'], ra_residual2.value, dec_residual2.value, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:64, 0:2048:64] pl.quiver(starcat['xcentroid'], starcat['ycentroid'], ra_residual2.value, dec_residual2.value, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:64, 0:2048:64] pl.quiver(table_coordinates['ra'], table_coordinates['dec'], ra_residual2.value, dec_residual2.value, color='w') ygrid, xgrid = np.mgrid[0:2048:64, 0:2048:64] pl.quiver(new_ra.value, new_dec.value, ra_residual2.value, dec_residual2.value, color='w') #[Out]# pl.quiver(new_ra.value, new_dec.value, ra_residual2.value, dec_residual2.value, color='w') pl.quiver(new_ra.value[bad_matches], new_dec.value[bad_matches], ra_residual2.value[bad_matches], dec_residual2.value[bad_matches], color='r') #[Out]# #pl.quiver(new_ra.value, new_dec.value, ra_residual2.value, dec_residual2.value, color='w') pl.quiver(new_ra.value[bad_matches], new_dec.value[bad_matches], ra_residual2.value[bad_matches], dec_residual2.value[bad_matches], color='r') pl.quiver(new_ra.value[~bad_matches], new_dec.value[~bad_matches], ra_residual2.value[~bad_matches], dec_residual2.value[~bad_matches], color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:64, 0:2048:64] r1,d1 = ww.wcs_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.wcs_pix2world(xgrid, ygrid, 0) pl.quiver(r1-r2, d1-d2, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:64, 0:2048:64] r1,d1 = ww.wcs_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.wcs_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r1-r2, d1-d2, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.wcs_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.wcs_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r1-r2, d1-d2, color='w') #[Out]# #pl.quiver(new_ra.value, new_dec.value, ra_residual2.value, dec_residual2.value, color='w') pl.quiver(new_ra.value[bad_matches], new_dec.value[bad_matches], ra_residual2.value[bad_matches], dec_residual2.value[bad_matches], color='r') pl.quiver(new_ra.value[~bad_matches], new_dec.value[~bad_matches], ra_residual2.value[~bad_matches], dec_residual2.value[~bad_matches], color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.wcs_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.all_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r1-r2, d1-d2, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.all_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.all_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r1-r2, d1-d2, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] x1,y1 = ww.sip_pix2foc(xgrid, ygrid, 0) x2,y2 = new_wcs2.sip_pix2foc(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, x1-x2, y1-y2, color='w') #[Out]# x1 #[Out]# array([[ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920]]) x2 #[Out]# array([[-1016.12890911, -894.56654009, -772.02555927, -648.62147854, #[Out]# -524.47620791, -399.71703785, -274.4756215 , -148.88695699, #[Out]# -23.08836967, 102.7815056 , 228.58374217, 354.18013936, #[Out]# 479.43424019, 604.21234908, 728.3845496 , 851.8257222 ], #[Out]# [-1020.49529203, -898.53601129, -775.57457653, -651.7300975 , #[Out]# -527.12854462, -401.90173132, -276.18629628, -150.1226857 , #[Out]# -23.85413559, 102.47434598, 228.71699664, 354.72831736, #[Out]# 480.36409029, 605.48239641, 729.94463331, 853.61653287], #[Out]# [-1024.07323308, -901.77655074, -778.45405651, -654.22811683, #[Out]# -529.22842144, -403.59096561, -277.45703243, -150.97217506, #[Out]# -24.28519903, 102.45285551, 229.08973153, 355.47297283, #[Out]# 481.45094178, 606.87383707, 731.59471139, 855.47048921], #[Out]# [-1026.94327838, -904.36990795, -780.74730809, -656.20076085, #[Out]# -530.86333413, -404.87486393, -278.38093663, -151.53187125, #[Out]# -24.4817017 , 102.6128409 , 229.59334599, 356.30074131, #[Out]# 482.57631059, 608.26271132, 733.20499244, 857.25161211], #[Out]# [-1029.1748827 , -906.38609629, -782.52525927, -657.7202282 , #[Out]# -532.10710801, -405.82923431, -279.03615566, -151.88261579, #[Out]# -24.5275359 , 102.86700305, 230.13677811, 357.11644205, #[Out]# 483.64054109, 609.54453264, 734.66580302, 858.8446852 ], #[Out]# [-1030.82717797, -907.88416155, -783.84722573, -658.84646045, #[Out]# -533.02066657, -406.5163382 , -279.48664493, -152.09041408, #[Out]# -24.49111305, 103.14416851, 230.64573636, 357.84230943, #[Out]# 484.56203755, 610.63351918, 735.88681912, 860.15448627], #[Out]# [-1031.94974191, -908.91295053, -784.7616794 , -659.62791068, #[Out]# -533.65280007, -406.98565902, -279.78293707, -152.20720402, #[Out]# -24.42613229, 103.38852084, 231.061931 , 358.41722438, #[Out]# 485.27649555, 611.46182512, 736.79629752, 861.10501869], #[Out]# [-1032.58336657, -909.51187962, -785.307017 , -660.10231201, #[Out]# -534.04093403, -407.27467076, -279.96291052, -152.2716245 , #[Out]# -24.37234905, 103.5588321 , 231.34230552, 358.79594582, #[Out]# 485.73613339, 611.97877216, 737.34030727, 861.63874284], #[Out]# [-1032.76082688, -909.71170336, -785.5123287 , -660.29744623, #[Out]# -534.21189789, -407.40960651, -280.0525581 , -152.30978408, #[Out]# -24.35634361, 103.62769423, 231.45826807, 358.94834207, #[Out]# 485.90892358, 612.15008093, 737.4819611 , 861.71580752], #[Out]# [-1032.5076493 , -909.53528301, -785.39816662, -660.23191234, #[Out]# -534.18269355, -407.4062271 , -280.06675556, -152.33602948, #[Out]# -24.39228969, 103.58075048, 231.39492288, 358.8586223 , #[Out]# 485.77782418, 611.95710237, 737.20064685, 861.31328142], #[Out]# [-1031.84288033, 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727.33313221, 849.48078558]])) x2 #[Out]# array([[-1016.12890911, -894.56654009, -772.02555927, -648.62147854, #[Out]# -524.47620791, -399.71703785, -274.4756215 , -148.88695699, #[Out]# -23.08836967, 102.7815056 , 228.58374217, 354.18013936, #[Out]# 479.43424019, 604.21234908, 728.3845496 , 851.8257222 ], #[Out]# [-1020.49529203, -898.53601129, -775.57457653, -651.7300975 , #[Out]# -527.12854462, -401.90173132, -276.18629628, -150.1226857 , #[Out]# -23.85413559, 102.47434598, 228.71699664, 354.72831736, #[Out]# 480.36409029, 605.48239641, 729.94463331, 853.61653287], #[Out]# [-1024.07323308, -901.77655074, -778.45405651, -654.22811683, #[Out]# -529.22842144, -403.59096561, -277.45703243, -150.97217506, #[Out]# -24.28519903, 102.45285551, 229.08973153, 355.47297283, #[Out]# 481.45094178, 606.87383707, 731.59471139, 855.47048921], #[Out]# [-1026.94327838, -904.36990795, -780.74730809, -656.20076085, #[Out]# -530.86333413, -404.87486393, -278.38093663, -151.53187125, #[Out]# -24.4817017 , 102.6128409 , 229.59334599, 356.30074131, #[Out]# 482.57631059, 608.26271132, 733.20499244, 857.25161211], #[Out]# [-1029.1748827 , -906.38609629, -782.52525927, -657.7202282 , #[Out]# -532.10710801, -405.82923431, -279.03615566, -151.88261579, #[Out]# -24.5275359 , 102.86700305, 230.13677811, 357.11644205, #[Out]# 483.64054109, 609.54453264, 734.66580302, 858.8446852 ], #[Out]# [-1030.82717797, -907.88416155, -783.84722573, -658.84646045, #[Out]# -533.02066657, -406.5163382 , -279.48664493, -152.09041408, #[Out]# -24.49111305, 103.14416851, 230.64573636, 357.84230943, #[Out]# 484.56203755, 610.63351918, 735.88681912, 860.15448627], #[Out]# [-1031.94974191, -908.91295053, -784.7616794 , -659.62791068, #[Out]# -533.65280007, -406.98565902, -279.78293707, -152.20720402, #[Out]# -24.42613229, 103.38852084, 231.061931 , 358.41722438, #[Out]# 485.27649555, 611.46182512, 736.79629752, 861.10501869], #[Out]# [-1032.58336657, -909.51187962, -785.307017 , -660.10231201, #[Out]# -534.04093403, -407.27467076, -279.96291052, -152.2716245 , #[Out]# -24.37234905, 103.5588321 , 231.34230552, 358.79594582, #[Out]# 485.73613339, 611.97877216, 737.34030727, 861.63874284], #[Out]# [-1032.76082688, -909.71170336, -785.5123287 , -660.29744623, #[Out]# -534.21189789, -407.40960651, -280.0525581 , -152.30978408, #[Out]# -24.35634361, 103.62769423, 231.45826807, 358.94834207, #[Out]# 485.90892358, 612.15008093, 737.4819611 , 861.71580752], #[Out]# [-1032.5076493 , -909.53528301, -785.39816662, -660.23191234, #[Out]# -534.18269355, -407.4062271 , -280.06675556, -152.33602948, #[Out]# -24.39228969, 103.58075048, 231.39492288, 358.8586223 , #[Out]# 485.77782418, 611.95710237, 737.20064685, 861.31328142], #[Out]# [-1031.84288033, -908.99835516, -784.97731342, -659.9158951 , #[Out]# -533.96126393, -407.27058962, -280.01003019, -152.3537142 , #[Out]# -24.48272302, 103.41592688, 231.15030168, 358.52456793, #[Out]# 485.34001028, 611.39604924, 736.49125886, 860.42438449], #[Out]# [-1030.77985511, -908.11030024, -784.25555089, -659.35193369, #[Out]# -533.54726157, -406.99981602, -279.87732937, -152.35596706, #[Out]# -24.61930992, 103.1426636 , 230.73459511, 357.95676406, #[Out]# 484.60610542, 610.47722747, 735.36342946, 859.05771941], #[Out]# [-1029.32696599, -906.87491118, -783.23242853, -658.53569019, #[Out]# -532.93281719, -406.58286166, -279.65478914, -152.32646083, #[Out]# -24.78361586, 102.78114642, 230.16938419, 357.17783091, #[Out]# 483.59941299, 609.2242676 , 733.84076034, 857.23650297], #[Out]# [-1027.4884311 , -905.2911619 , -781.90203208, -657.45671822, #[Out]# -532.10330828, -406.00128393, -279.3205028 , -152.24018073, #[Out]# -24.94787405, 102.36153815, 229.48687172, 356.22165523, #[Out]# 482.35514769, 607.67335626, 731.96005399, 854.99779755], #[Out]# [-1025.26506292, -903.35397594, -780.25375216, -656.09923146, #[Out]# -531.03812764, -405.23001079, -278.84528948, -152.06419307, #[Out]# -25.07575399, 101.92321003, 228.72911367, 355.13262174, #[Out]# 480.91966693, 605.87246753, 729.77054515, 852.3917425 ], #[Out]# [-1022.65503689, -901.05499501, -778.2730528 , -654.44287228, #[Out]# -529.711452 , -404.23810932, -278.19346267, -151.7584138 , #[Out]# -25.12313009, 101.51397321, 227.94725069, 353.96484454, #[Out]# 479.34970226, 603.88059437, 727.33313221, 849.48078558]]) x1 #[Out]# array([[ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920], #[Out]# [ 0, 128, 256, 384, 512, 640, 768, 896, 1024, 1152, 1280, #[Out]# 1408, 1536, 1664, 1792, 1920]]) ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] # this doesn't do anything because the original ""ww" didn't have SIP coefficients (x1 == xgrid exactly) x1,y1 = ww.sip_pix2foc(xgrid, ygrid, 0) # `sip_pix2foc` returns locations relative to crpix, so we redefine x1,x2 to be relative to crpix x1,y1 = xgrid - ww.wcs.crpix[0], ygrid - ww.wcs.crpix[1] x2,y2 = new_wcs2.sip_pix2foc(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, x1-x2, y1-y2, color='w') #[Out]# x1 #[Out]# array([[-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276]]) x1,x2 #[Out]# (array([[-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276], #[Out]# [-1022.48640724, -894.48640724, -766.48640724, -638.48640724, #[Out]# -510.48640724, -382.48640724, -254.48640724, -126.48640724, #[Out]# 1.51359276, 129.51359276, 257.51359276, 385.51359276, #[Out]# 513.51359276, 641.51359276, 769.51359276, 897.51359276]]), #[Out]# array([[-1016.12890911, -894.56654009, -772.02555927, -648.62147854, #[Out]# -524.47620791, -399.71703785, -274.4756215 , -148.88695699, #[Out]# -23.08836967, 102.7815056 , 228.58374217, 354.18013936, #[Out]# 479.43424019, 604.21234908, 728.3845496 , 851.8257222 ], #[Out]# [-1020.49529203, -898.53601129, -775.57457653, -651.7300975 , #[Out]# -527.12854462, -401.90173132, -276.18629628, -150.1226857 , #[Out]# -23.85413559, 102.47434598, 228.71699664, 354.72831736, #[Out]# 480.36409029, 605.48239641, 729.94463331, 853.61653287], #[Out]# [-1024.07323308, -901.77655074, -778.45405651, -654.22811683, #[Out]# -529.22842144, -403.59096561, -277.45703243, -150.97217506, #[Out]# -24.28519903, 102.45285551, 229.08973153, 355.47297283, #[Out]# 481.45094178, 606.87383707, 731.59471139, 855.47048921], #[Out]# [-1026.94327838, -904.36990795, -780.74730809, -656.20076085, #[Out]# -530.86333413, -404.87486393, -278.38093663, -151.53187125, #[Out]# -24.4817017 , 102.6128409 , 229.59334599, 356.30074131, #[Out]# 482.57631059, 608.26271132, 733.20499244, 857.25161211], #[Out]# [-1029.1748827 , -906.38609629, -782.52525927, -657.7202282 , #[Out]# -532.10710801, -405.82923431, -279.03615566, -151.88261579, #[Out]# -24.5275359 , 102.86700305, 230.13677811, 357.11644205, #[Out]# 483.64054109, 609.54453264, 734.66580302, 858.8446852 ], #[Out]# [-1030.82717797, -907.88416155, -783.84722573, -658.84646045, #[Out]# -533.02066657, -406.5163382 , -279.48664493, -152.09041408, #[Out]# -24.49111305, 103.14416851, 230.64573636, 357.84230943, #[Out]# 484.56203755, 610.63351918, 735.88681912, 860.15448627], #[Out]# [-1031.94974191, -908.91295053, -784.7616794 , -659.62791068, #[Out]# -533.65280007, -406.98565902, -279.78293707, -152.20720402, #[Out]# -24.42613229, 103.38852084, 231.061931 , 358.41722438, #[Out]# 485.27649555, 611.46182512, 736.79629752, 861.10501869], #[Out]# [-1032.58336657, -909.51187962, -785.307017 , -660.10231201, #[Out]# -534.04093403, -407.27467076, -279.96291052, -152.2716245 , #[Out]# -24.37234905, 103.5588321 , 231.34230552, 358.79594582, #[Out]# 485.73613339, 611.97877216, 737.34030727, 861.63874284], #[Out]# [-1032.76082688, -909.71170336, -785.5123287 , -660.29744623, #[Out]# -534.21189789, -407.40960651, -280.0525581 , -152.30978408, #[Out]# -24.35634361, 103.62769423, 231.45826807, 358.94834207, #[Out]# 485.90892358, 612.15008093, 737.4819611 , 861.71580752], #[Out]# [-1032.5076493 , -909.53528301, -785.39816662, -660.23191234, #[Out]# -534.18269355, -407.4062271 , -280.06675556, -152.33602948, #[Out]# -24.39228969, 103.58075048, 231.39492288, 358.8586223 , #[Out]# 485.77782418, 611.95710237, 737.20064685, 861.31328142], #[Out]# [-1031.84288033, -908.99835516, -784.97731342, -659.9158951 , #[Out]# -533.96126393, -407.27058962, -280.01003019, -152.3537142 , #[Out]# -24.48272302, 103.41592688, 231.15030168, 358.52456793, #[Out]# 485.34001028, 611.39604924, 736.49125886, 860.42438449], #[Out]# [-1030.77985511, -908.11030024, -784.25555089, -659.35193369, #[Out]# -533.54726157, -406.99981602, -279.87732937, -152.35596706, #[Out]# -24.61930992, 103.1426636 , 230.73459511, 357.95676406, #[Out]# 484.60610542, 610.47722747, 735.36342946, 859.05771941], #[Out]# [-1029.32696599, -906.87491118, -783.23242853, -658.53569019, #[Out]# -532.93281719, -406.58286166, -279.65478914, -152.32646083, #[Out]# -24.78361586, 102.78114642, 230.16938419, 357.17783091, #[Out]# 483.59941299, 609.2242676 , 733.84076034, 857.23650297], #[Out]# [-1027.4884311 , -905.2911619 , -781.90203208, -657.45671822, #[Out]# -532.10330828, -406.00128393, -279.3205028 , -152.24018073, #[Out]# -24.94787405, 102.36153815, 229.48687172, 356.22165523, #[Out]# 482.35514769, 607.67335626, 731.96005399, 854.99779755], #[Out]# [-1025.26506292, -903.35397594, -780.25375216, -656.09923146, #[Out]# -531.03812764, -405.23001079, -278.84528948, -152.06419307, #[Out]# -25.07575399, 101.92321003, 228.72911367, 355.13262174, #[Out]# 480.91966693, 605.87246753, 729.77054515, 852.3917425 ], #[Out]# [-1022.65503689, -901.05499501, -778.2730528 , -654.44287228, #[Out]# -529.711452 , -404.23810932, -278.19346267, -151.7584138 , #[Out]# -25.12313009, 101.51397321, 227.94725069, 353.96484454, #[Out]# 479.34970226, 603.88059437, 727.33313221, 849.48078558]])) r1 #[Out]# array([[290.9780491 , 290.97128749, 290.96444959, 290.9575471 , #[Out]# 290.95059151, 290.94359404, 290.93656555, 290.92951663, #[Out]# 290.92245764, 290.91539883, 290.90835044, 290.90132285, #[Out]# 290.89432664, 290.88737271, 290.88047226, 290.87363681], #[Out]# [290.97825392, 290.97146401, 290.96459828, 290.95766857, #[Out]# 290.9506864 , 290.94366296, 290.93660901, 290.92953502, #[Out]# 290.92245114, 290.91536745, 290.90829398, 290.90124093, #[Out]# 290.89421875, 290.88723825, 290.88031059, 290.87344733], #[Out]# [290.97842839, 290.9716139 , 290.96472413, 290.957771 , #[Out]# 290.95076607, 290.94372047, 290.93664489, 290.92954961, #[Out]# 290.92244466, 290.91533987, 290.90824513, 290.90117044, #[Out]# 290.89412611, 290.88712284, 290.88017178, 290.8732845 ], #[Out]# [290.97857302, 290.97173775, 290.96482773, 290.95785497, #[Out]# 290.95083103, 290.943767 , 290.93667347, 290.92956058, #[Out]# 290.92243819, 290.91531597, 290.90820361, 290.90111097, #[Out]# 290.89404821, 290.88702594, 290.88005525, 290.87314775], #[Out]# [290.97868844, 290.97183621, 290.96490974, 290.95792109, #[Out]# 290.95088182, 290.94380298, 290.93669505, 290.92956807, #[Out]# 290.92243174, 290.9152956 , 290.90816915, 290.90106211, #[Out]# 290.89398454, 290.88694694, 290.87996038, 290.87303644], #[Out]# [290.97877526, 290.97190993, 290.9649708 , 290.95796994, #[Out]# 290.95091895, 290.9438288 , 290.93670992, 290.92957224, #[Out]# 290.92242534, 290.91527861, 290.90814146, 290.90102347, #[Out]# 290.8939346 , 290.88688529, 290.87988654, 290.87294995], #[Out]# [290.97883405, 290.97195949, 290.96501145, 290.95800205, #[Out]# 290.95094285, 290.94384482, 290.93671832, 290.9295732 , #[Out]# 290.92241897, 290.9152649 , 290.90812032, 290.90099472, #[Out]# 290.89389798, 290.88684047, 290.8798332 , 290.87288773], #[Out]# [290.97886526, 290.97198533, 290.96503213, 290.95801779, #[Out]# 290.95095387, 290.94385132, 290.93672045, 290.92957108, #[Out]# 290.92241264, 290.91525439, 290.90810556, 290.9009756 , #[Out]# 290.89387434, 290.88681213, 290.87979993, 290.87284934], #[Out]# [290.97886917, 290.97198775, 290.96503312, 290.95801743, #[Out]# 290.95095223, 290.94384845, 290.93671641, 290.92956592, #[Out]# 290.92240637, 290.91524701, 290.90809706, 290.90096594, #[Out]# 290.89386348, 290.88680001, 290.87978649, 290.87283451], #[Out]# [290.97884588, 290.97196683, 290.96501451, 290.95800104, #[Out]# 290.95093799, 290.94383628, 290.93670627, 290.92955775, #[Out]# 290.92240016, 290.91524276, 290.9080948 , 290.90096572, #[Out]# 290.89386535, 290.88680406, 290.8797928 , 290.87284316], #[Out]# [290.97879529, 290.97192249, 290.9649762 , 290.95796854, #[Out]# 290.95091108, 290.94381477, 290.93668997, 290.92954656, #[Out]# 290.92239402, 290.91524168, 290.90809883, 290.90097499, #[Out]# 290.89388004, 290.88682437, 290.87981896, 290.8728754 ], #[Out]# [290.97871713, 290.97185444, 290.96491793, 290.9579197 , #[Out]# 290.9508713 , 290.94378373, 290.93666741, 290.9295323 , #[Out]# 290.92238796, 290.91524382, 290.90810929, 290.90099395, #[Out]# 290.89390778, 290.88686121, 290.87986527, 290.87293155], #[Out]# [290.97861096, 290.97176223, 290.96483927, 290.9578541 , #[Out]# 290.95081831, 290.94374291, 290.93663842, 290.92951488, #[Out]# 290.92238199, 290.91524931, 290.90812636, 290.90102287, #[Out]# 290.89394891, 290.88691499, 290.87993218, 290.87301205], #[Out]# [290.97847623, 290.97164532, 290.96473967, 290.95777127, #[Out]# 290.95075168, 290.94369198, 290.93660276, 290.92949419, #[Out]# 290.92237612, 290.91525826, 290.90815031, 290.90106212, #[Out]# 290.89400389, 290.88698623, 290.88002024, 290.87311749], #[Out]# [290.97831235, 290.97150306, 290.96461852, 290.95767063, #[Out]# 290.95067092, 290.94363054, 290.93656016, 290.9294701 , #[Out]# 290.92237037, 290.91527085, 290.90818142, 290.90111211, #[Out]# 290.89407324, 290.88707552, 290.88013008, 290.87324851], #[Out]# [290.97811873, 290.97133486, 290.96447521, 290.95755159, #[Out]# 290.95057554, 290.94355819, 290.93651036, 290.92944247, #[Out]# 290.92236474, 290.91528722, 290.90821999, 290.90117325, #[Out]# 290.89415747, 290.88718345, 290.88026236, 290.87340574]]) r1-r2 #[Out]# array([[0.0006982 , 0.00071926, 0.00071878, 0.00070198, 0.00067356, #[Out]# 0.00063757, 0.00059753, 0.00055649, 0.00051712, 0.00048193, #[Out]# 0.0004534 , 0.0004342 , 0.0004273 , 0.00043614, 0.00046468, #[Out]# 0.00051746], #[Out]# [0.00066817, 0.00068294, 0.00067795, 0.00065834, 0.00062862, #[Out]# 0.00059257, 0.00055333, 0.00051351, 0.00047527, 0.00044057, #[Out]# 0.00041133, 0.00038961, 0.00037783, 0.00037886, 0.00039616, #[Out]# 0.0004338 ], #[Out]# [0.00065188, 0.00066077, 0.00065173, 0.00062983, 0.00059938, #[Out]# 0.0005639 , 0.00052617, 0.00048837, 0.00045218, 0.00041904, #[Out]# 0.0003903 , 0.00036747, 0.00035241, 0.00034746, 0.00035557, #[Out]# 0.00038034], #[Out]# [0.00064535, 0.00064876, 0.00063607, 0.00061225, 0.00058145, #[Out]# 0.00054693, 0.00051114, 0.00047583, 0.00044226, 0.00041136, #[Out]# 0.00038396, 0.00036104, 0.00034393, 0.00033445, 0.00033507, #[Out]# 0.00034893], #[Out]# [0.0006453 , 0.00064364, 0.00062764, 0.00060218, 0.00057125, #[Out]# 0.00053786, 0.00050416, 0.00047154, 0.00044083, 0.00041251, #[Out]# 0.00038693, 0.00036459, 0.00034631, 0.00033342, 0.00032792, #[Out]# 0.00033249], #[Out]# [0.00064905, 0.00064276, 0.00062375, 0.00059684, 0.00056586, #[Out]# 0.0005336 , 0.00050194, 0.00047194, 0.00044407, 0.00041838, #[Out]# 0.00039481, 0.00037339, 0.00035449, 0.000339 , 0.00032845, #[Out]# 0.0003251 ], #[Out]# [0.00065437, 0.00064394, 0.00062224, 0.00059403, 0.00056298, #[Out]# 0.00053173, 0.0005019 , 0.00047427, 0.00044897, 0.00042573, #[Out]# 0.00040408, 0.00038368, 0.00036446, 0.0003469 , 0.00033212, #[Out]# 0.00032195], #[Out]# [0.00065943, 0.00064542, 0.00062139, 0.00059202, 0.00056087, #[Out]# 0.00053042, 0.00050209, 0.00047644, 0.00045332, 0.00043216, #[Out]# 0.00041218, 0.00039267, 0.00037322, 0.00035392, 0.00033549, #[Out]# 0.00031938], #[Out]# [0.00066267, 0.00064577, 0.00061983, 0.00058949, 0.00055822, #[Out]# 0.00052836, 0.00050118, 0.00047705, 0.00045563, 0.00043608, #[Out]# 0.00041738, 0.00039852, 0.00037877, 0.00035789, 0.00033625, #[Out]# 0.00031491], #[Out]# [0.00066274, 0.00064378, 0.00061651, 0.00058549, 0.00055415, #[Out]# 0.00052472, 0.00049837, 0.00047533, 0.0004551 , 0.00043668, #[Out]# 0.00041882, 0.00040029, 0.0003801 , 0.00035771, 0.00033316, #[Out]# 0.00030716], #[Out]# [0.00065848, 0.00063847, 0.00061058, 0.00057935, 0.00054812, #[Out]# 0.00051909, 0.00049335, 0.00047105, 0.00045159, 0.00043385, #[Out]# 0.00041643, 0.00039792, 0.00037712, 0.00035325, 0.00032604, #[Out]# 0.00029588], #[Out]# [0.00064883, 0.00062901, 0.00060146, 0.00057066, 0.00053994, #[Out]# 0.00051145, 0.00048628, 0.00046454, 0.00044556, 0.00042818, #[Out]# 0.0004109 , 0.00039218, 0.00037066, 0.00034534, 0.00031571, #[Out]# 0.00028182], #[Out]# [0.00063289, 0.00061474, 0.00058871, 0.00055926, 0.00052968, #[Out]# 0.00050216, 0.00047775, 0.0004566 , 0.00043805, 0.00042089, #[Out]# 0.00040361, 0.0003846 , 0.00036236, 0.00033572, 0.00030393, #[Out]# 0.00026675], #[Out]# [0.00060985, 0.00059513, 0.00057211, 0.00054521, 0.00051773, #[Out]# 0.00049187, 0.00046873, 0.00044851, 0.00043058, 0.00041379, #[Out]# 0.00039662, 0.00037741, 0.00035461, 0.00032689, 0.0002933 , #[Out]# 0.0002533 ], #[Out]# [0.00057906, 0.00056984, 0.00055163, 0.00052882, 0.00050473, #[Out]# 0.00048159, 0.00046058, 0.00044195, 0.0004252 , 0.00040921, #[Out]# 0.00039253, 0.0003735 , 0.00035051, 0.00032212, 0.00028719, #[Out]# 0.0002449 ], #[Out]# [0.00054002, 0.00053868, 0.00052743, 0.00051063, 0.00049159, #[Out]# 0.00047262, 0.00045497, 0.00043902, 0.00042435, 0.00040997, #[Out]# 0.00039449, 0.00037629, 0.00035373, 0.00032529, 0.00028963, #[Out]# 0.00024565]]) from photutils import DAOStarFinder std = filehandle[0].data.std() # crummy guess!! daofind = DAOStarFinder(fwhm=3.0, threshold=4.*std) starcat = daofind(filehandle[0].data - np.median(filehandle[0].data)) starcat #[Out]#
#[Out]# id xcentroid ... flux mag #[Out]# int64 float64 ... float64 float64 #[Out]# ----- ------------------ ... ------------------ ------------------- #[Out]# 1 287.9700850298652 ... 6.457621293501058 -2.0251814306880984 #[Out]# 2 1304.852235218743 ... 2.0685111856434135 -0.7891446843020283 #[Out]# 3 697.4116669665292 ... 2.381043379974144 -0.9419182696039424 #[Out]# 4 1633.1442249028848 ... 1.4378440943787447 -0.3942794949820389 #[Out]# 5 1054.3503310555595 ... 2.9647567175065572 -1.179972654386196 #[Out]# 6 1659.5769719916764 ... 3.1769179812948596 -1.2550150069050916 #[Out]# 7 1304.4557964903947 ... 1.0701561795540757 -0.0736179090935071 #[Out]# 8 1665.9293754741275 ... 6.689247363387615 -2.0634431403405187 #[Out]# 9 1568.3300173689129 ... 4.01973648378026 -1.5104939589603954 #[Out]# 10 1279.8452151362637 ... 1.4642403116970348 -0.4140308978837884 #[Out]# ... ... ... ... ... #[Out]# 297 1917.8647117743872 ... 6.378414163028312 -2.011781788552261 #[Out]# 298 693.2974170967494 ... 2.380434796567463 -0.941640725103118 #[Out]# 299 65.63278618915696 ... 2.2893583140710763 -0.8992844266901113 #[Out]# 300 833.0293607623491 ... 2.9570605601481015 -1.1771505472544403 #[Out]# 301 65.94338658143386 ... 5.336654229501871 -1.818172662675076 #[Out]# 302 659.939368611174 ... 1.0487523440504145 -0.0516823613070828 #[Out]# 303 2006.256010558064 ... 1.3057055088794072 -0.2896130911024453 #[Out]# 304 1783.3036370430382 ... 6.467492916348213 -2.026839904297673 #[Out]# 305 1338.5532616480493 ... 7.250520101289022 -2.150922902295844 #[Out]# 306 1920.6323306541221 ... 1.2982350732718613 -0.2833833447613592 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) xc, yc = ww.all_world2pix(table_coordinates.ra, table_coordinates.dec, 0) ra, dec = ww.all_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg starfind_coords = coordinates.SkyCoord(ra, dec, frame='fk5') starfind_coords.shape, table_coordinates.shape #[Out]# ((306,), (1716,)) match_index, match_distance, _ = coordinates.match_coordinates_sky(starfind_coords, table_coordinates) pl.hist(match_distance.to(u.arcsec).value) #[Out]# (array([ 13., 29., 201., 59., 3., 0., 0., 0., 0., 1.]), #[Out]# array([ 0.48936726, 1.73070483, 2.9720424 , 4.21337998, 5.45471755, #[Out]# 6.69605513, 7.9373927 , 9.17873027, 10.42006785, 11.66140542, #[Out]# 12.902743 ]), #[Out]# ) new_sky_coordinates = table_coordinates[match_index] new_sky_coordinates_xy = ww.all_world2pix(new_sky_coordinates.ra, new_sky_coordinates.dec, 0) pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(new_sky_coordinates_xy[0], new_sky_coordinates_xy[1], 'rx') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) from astropy.wcs.utils import fit_wcs_from_points xy_starfind = np.array([starcat['xcentroid'], starcat['ycentroid']]) new_wcs = fit_wcs_from_points(xy_starfind, new_sky_coordinates, sip_degree=2) new_wcs #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.92078535152535 14.506217880366655 #[Out]# CRPIX : 1047.9203951629465 1010.5311861117924 #[Out]# CD1_1 CD1_2 : -5.331401700064365e-05 -7.088451406175386e-08 #[Out]# CD2_1 CD2_2 : 7.234694115497095e-08 -5.332017195715788e-05 #[Out]# NAXIS : 2000.7783858533226 2028.2073632349282 new_ra, new_dec = new_wcs.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg visualization.quantity_support() #[Out]# .MplQuantityConverter at 0x2ae8506f8ac8> pl.plot(new_ra, new_dec, 'x') pl.plot(new_sky_coordinates.ra, new_sky_coordinates.dec, 'x') #[Out]# [] ra_residual = (new_ra-new_sky_coordinates.ra).to(u.arcsec) dec_residual = (new_dec-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual, dec_residual, 'x') pl.grid() bad_matches = (ra_residual < -2*u.arcsec) | (ra_residual > 2*u.arcsec) | (dec_residual > 1*u.arcsec) bad_matches.sum(), len(bad_matches) #[Out]# (70, 306) xy_starfind.T.T.shape #[Out]# (2, 306) xy_starfind2 = xy_starfind.T[~bad_matches].T new_sky_coordinates2 = new_sky_coordinates.T[~bad_matches].T new_wcs2 = fit_wcs_from_points(xy_starfind2, new_sky_coordinates2, sip_degree=5) new_ra2, new_dec2 = new_wcs2.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') pl.grid() new_wcs2 #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.9207853485614 14.506229880371471 #[Out]# CRPIX : 1046.6551484528022 1015.996237301712 #[Out]# CD1_1 CD1_2 : -5.332665390824933e-05 -2.7992082944641182e-08 #[Out]# CD2_1 CD2_2 : -1.8862170515565008e-08 -5.3289230035676716e-05 #[Out]# NAXIS : 2000.7783858533226 2028.2073632349282 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) #pl.quiver(new_ra.value, new_dec.value, ra_residual2.value, dec_residual2.value, color='w') pl.quiver(new_ra.value[bad_matches], new_dec.value[bad_matches], ra_residual2.value[bad_matches], dec_residual2.value[bad_matches], color='r') pl.quiver(new_ra.value[~bad_matches], new_dec.value[~bad_matches], ra_residual2.value[~bad_matches], dec_residual2.value[~bad_matches], color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.all_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.all_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r1-r2, d1-d2, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] # this doesn't do anything because the original "ww" didn't have SIP coefficients (x1 == xgrid exactly) x1,y1 = ww.sip_pix2foc(xgrid, ygrid, 0) # `sip_pix2foc` returns locations relative to crpix, so we redefine x1,x2 to be relative to crpix x1,y1 = xgrid - ww.wcs.crpix[0], ygrid - ww.wcs.crpix[1] x2,y2 = new_wcs2.sip_pix2foc(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, x1-x2, y1-y2, color='w') #[Out]# ww.wcs.crval #[Out]# array([290.92254741, 14.50522928]) ww.wcs.crval[1] -= 1/3600 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) ww.wcs.crval[1] += 1/3600 ww.wcs.crval[1] += 1/3600 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) ww.wcs.crval[1] += 1/3600 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) ww.wcs.crval[1] += 1/3600 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) ww = WCS(filehandle[0].header) ww.wcs.crval[1] += 3/3600 ww.wcs.crval[0] -= 2/3600 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) ww = WCS(filehandle[0].header) ww.wcs.crval[1] += 4/3600 ww.wcs.crval[0] -= 1.8/3600 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='w', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) ww = WCS(filehandle[0].header) ww.wcs.crval[1] += 4/3600 ww.wcs.crval[0] -= 1.8/3600 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='k', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) # because the offset was so bad, I decided to try to fix the WCS a little before doing cross-matching # the code below re-loads the WCS, then shifts it up by 4" and left by 1.8" ww = WCS(filehandle[0].header) ww.wcs.crval[1] += 4/3600 ww.wcs.crval[0] -= 1.8/3600 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) axlims = ax.axis() pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='k', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) from photutils import DAOStarFinder std = filehandle[0].data.std() # crummy guess!! daofind = DAOStarFinder(fwhm=3.0, threshold=4.*std) starcat = daofind(filehandle[0].data - np.median(filehandle[0].data)) starcat #[Out]#
#[Out]# id xcentroid ... flux mag #[Out]# int64 float64 ... float64 float64 #[Out]# ----- ------------------ ... ------------------ ------------------- #[Out]# 1 287.9700850298652 ... 6.457621293501058 -2.0251814306880984 #[Out]# 2 1304.852235218743 ... 2.0685111856434135 -0.7891446843020283 #[Out]# 3 697.4116669665292 ... 2.381043379974144 -0.9419182696039424 #[Out]# 4 1633.1442249028848 ... 1.4378440943787447 -0.3942794949820389 #[Out]# 5 1054.3503310555595 ... 2.9647567175065572 -1.179972654386196 #[Out]# 6 1659.5769719916764 ... 3.1769179812948596 -1.2550150069050916 #[Out]# 7 1304.4557964903947 ... 1.0701561795540757 -0.0736179090935071 #[Out]# 8 1665.9293754741275 ... 6.689247363387615 -2.0634431403405187 #[Out]# 9 1568.3300173689129 ... 4.01973648378026 -1.5104939589603954 #[Out]# 10 1279.8452151362637 ... 1.4642403116970348 -0.4140308978837884 #[Out]# ... ... ... ... ... #[Out]# 297 1917.8647117743872 ... 6.378414163028312 -2.011781788552261 #[Out]# 298 693.2974170967494 ... 2.380434796567463 -0.941640725103118 #[Out]# 299 65.63278618915696 ... 2.2893583140710763 -0.8992844266901113 #[Out]# 300 833.0293607623491 ... 2.9570605601481015 -1.1771505472544403 #[Out]# 301 65.94338658143386 ... 5.336654229501871 -1.818172662675076 #[Out]# 302 659.939368611174 ... 1.0487523440504145 -0.0516823613070828 #[Out]# 303 2006.256010558064 ... 1.3057055088794072 -0.2896130911024453 #[Out]# 304 1783.3036370430382 ... 6.467492916348213 -2.026839904297673 #[Out]# 305 1338.5532616480493 ... 7.250520101289022 -2.150922902295844 #[Out]# 306 1920.6323306541221 ... 1.2982350732718613 -0.2833833447613592 pl.figure(figsize=(12,12)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(table_coordinates.ra[brightstars], table_coordinates.dec[brightstars], transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) xc, yc = ww.all_world2pix(table_coordinates.ra, table_coordinates.dec, 0) ra, dec = ww.all_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg starfind_coords = coordinates.SkyCoord(ra, dec, frame='fk5') starfind_coords.shape, table_coordinates.shape #[Out]# ((306,), (1716,)) match_index, match_distance, _ = coordinates.match_coordinates_sky(starfind_coords, table_coordinates) pl.hist(match_distance.to(u.arcsec).value) #[Out]# (array([234., 65., 4., 0., 1., 0., 0., 0., 1., 1.]), #[Out]# array([0.04816839, 1.03560097, 2.02303355, 3.01046613, 3.9978987 , #[Out]# 4.98533128, 5.97276386, 6.96019644, 7.94762901, 8.93506159, #[Out]# 9.92249417]), #[Out]# ) new_sky_coordinates = table_coordinates[match_index] new_sky_coordinates_xy = ww.all_world2pix(new_sky_coordinates.ra, new_sky_coordinates.dec, 0) pl.figure(figsize=(24,24)) ax = pl.subplot(projection=ww) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(new_sky_coordinates_xy[0], new_sky_coordinates_xy[1], 'rx') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) from astropy.wcs.utils import fit_wcs_from_points xy_starfind = np.array([starcat['xcentroid'], starcat['ycentroid']]) new_wcs = fit_wcs_from_points(xy_starfind, new_sky_coordinates, sip_degree=2) new_wcs #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.9207853485614 14.506229880371471 #[Out]# CRPIX : 1045.7754298613622 1015.7409045073978 #[Out]# CD1_1 CD1_2 : -5.3267256719998046e-05 -4.984211132715454e-09 #[Out]# CD2_1 CD2_2 : 5.483835322691893e-09 -5.323166184964617e-05 #[Out]# NAXIS : 2000.7783858533226 2028.2073632349282 new_ra, new_dec = new_wcs.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg visualization.quantity_support() #[Out]# .MplQuantityConverter at 0x2ae85107d7b8> pl.plot(new_ra, new_dec, 'x') pl.plot(new_sky_coordinates.ra, new_sky_coordinates.dec, 'x') #[Out]# [] ra_residual = (new_ra-new_sky_coordinates.ra).to(u.arcsec) dec_residual = (new_dec-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual, dec_residual, 'x') pl.grid() bad_matches = (ra_residual < -2*u.arcsec) | (ra_residual > 2*u.arcsec) | (dec_residual > 2*u.arcsec) | (dec_residual < -2*u.arcsec) bad_matches.sum(), len(bad_matches) #[Out]# (18, 306) xy_starfind.T.T.shape #[Out]# (2, 306) filehandle[0].header['FILTER'] #[Out]# 'J' ra, dec = ww.all_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual = (new_ra-new_sky_coordinates.ra).to(u.arcsec) dec_residual = (new_dec-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual, dec_residual, 'x') pl.grid() bad_matches = (ra_residual < -2*u.arcsec) | (ra_residual > 2*u.arcsec) | (dec_residual > 2*u.arcsec) | (dec_residual < -2*u.arcsec) bad_matches.sum(), len(bad_matches) #[Out]# (18, 306) xy_starfind2 = xy_starfind.T[~bad_matches].T new_sky_coordinates2 = new_sky_coordinates.T[~bad_matches].T new_wcs2 = fit_wcs_from_points(xy_starfind2, new_sky_coordinates2, sip_degree=5) new_ra2, new_dec2 = new_wcs2.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') pl.grid() new_wcs2 #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.9207853485614 14.506229880371471 #[Out]# CRPIX : 1046.3163236240405 1015.9667681102915 #[Out]# CD1_1 CD1_2 : -5.333872977511008e-05 -2.094224209175517e-08 #[Out]# CD2_1 CD2_2 : -9.090479506084803e-09 -5.3297185992530433e-05 #[Out]# NAXIS : 2000.7783858533226 2028.2073632349282 new_wcs2 #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.9207853485614 14.506229880371471 #[Out]# CRPIX : 1046.3163236240405 1015.9667681102915 #[Out]# CD1_1 CD1_2 : -5.333872977511008e-05 -2.094224209175517e-08 #[Out]# CD2_1 CD2_2 : -9.090479506084803e-09 -5.3297185992530433e-05 #[Out]# NAXIS : 2000.7783858533226 2028.2073632349282 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wx') pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'k+') pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wo', markeredgecolor='w', markerfacecolor='none') pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) #pl.quiver(new_ra.value, new_dec.value, ra_residual2.value, dec_residual2.value, color='w') pl.quiver(new_ra.value[bad_matches], new_dec.value[bad_matches], ra_residual2.value[bad_matches], dec_residual2.value[bad_matches], color='r') pl.quiver(new_ra.value[~bad_matches], new_dec.value[~bad_matches], ra_residual2.value[~bad_matches], dec_residual2.value[~bad_matches], color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.all_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.all_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r1-r2, d1-d2, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] # this doesn't do anything because the original "ww" didn't have SIP coefficients (x1 == xgrid exactly) x1,y1 = ww.sip_pix2foc(xgrid, ygrid, 0) # `sip_pix2foc` returns locations relative to crpix, so we redefine x1,x2 to be relative to crpix x1,y1 = xgrid - ww.wcs.crpix[0], ygrid - ww.wcs.crpix[1] x2,y2 = new_wcs2.sip_pix2foc(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, x1-x2, y1-y2, color='w') #[Out]# xy_starfind2 = xy_starfind.T[~bad_matches].T new_sky_coordinates2 = new_sky_coordinates.T[~bad_matches].T new_wcs2 = fit_wcs_from_points(xy_starfind2, new_sky_coordinates2, sip_degree=4) new_ra2, new_dec2 = new_wcs2.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') pl.grid() xy_starfind2 = xy_starfind.T[~bad_matches].T new_sky_coordinates2 = new_sky_coordinates.T[~bad_matches].T new_wcs2 = fit_wcs_from_points(xy_starfind2, new_sky_coordinates2, sip_degree=6) new_ra2, new_dec2 = new_wcs2.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') pl.grid() xy_starfind2 = xy_starfind.T[~bad_matches].T new_sky_coordinates2 = new_sky_coordinates.T[~bad_matches].T new_wcs2 = fit_wcs_from_points(xy_starfind2, new_sky_coordinates2, sip_degree=3) new_ra2, new_dec2 = new_wcs2.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') pl.grid() new_wcs2 #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.9207853485614 14.506229880371471 #[Out]# CRPIX : 1045.9486807512487 1016.101600741903 #[Out]# CD1_1 CD1_2 : -5.399683343456797e-05 -1.7692217065600958e-09 #[Out]# CD2_1 CD2_2 : 4.061043497272642e-08 -5.403636528255915e-05 #[Out]# NAXIS : 2000.7783858533226 2028.2073632349282 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wo', markeredgecolor='w', markerfacecolor='none') pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) #pl.quiver(new_ra.value, new_dec.value, ra_residual2.value, dec_residual2.value, color='w') pl.quiver(new_ra.value[bad_matches], new_dec.value[bad_matches], ra_residual2.value[bad_matches], dec_residual2.value[bad_matches], color='r') pl.quiver(new_ra.value[~bad_matches], new_dec.value[~bad_matches], ra_residual2.value[~bad_matches], dec_residual2.value[~bad_matches], color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.all_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.all_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r1-r2, d1-d2, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] # this doesn't do anything because the original "ww" didn't have SIP coefficients (x1 == xgrid exactly) x1,y1 = ww.sip_pix2foc(xgrid, ygrid, 0) # `sip_pix2foc` returns locations relative to crpix, so we redefine x1,x2 to be relative to crpix x1,y1 = xgrid - ww.wcs.crpix[0], ygrid - ww.wcs.crpix[1] x2,y2 = new_wcs2.sip_pix2foc(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, x1-x2, y1-y2, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.all_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.all_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r1-r2, d1-d2, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.all_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.all_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r2-r1, d2-d1, color='w') #[Out]# xy_starfind2 = xy_starfind.T[~bad_matches].T new_sky_coordinates2 = new_sky_coordinates.T[~bad_matches].T new_wcs2 = fit_wcs_from_points(xy_starfind2, new_sky_coordinates2, sip_degree=5) new_ra2, new_dec2 = new_wcs2.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') pl.grid() new_wcs2 #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.9207853485614 14.506229880371471 #[Out]# CRPIX : 1046.3163236240405 1015.9667681102915 #[Out]# CD1_1 CD1_2 : -5.333872977511008e-05 -2.094224209175517e-08 #[Out]# CD2_1 CD2_2 : -9.090479506084803e-09 -5.3297185992530433e-05 #[Out]# NAXIS : 2000.7783858533226 2028.2073632349282 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wo', markeredgecolor='w', markerfacecolor='none') pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) #pl.quiver(new_ra.value, new_dec.value, ra_residual2.value, dec_residual2.value, color='w') pl.quiver(new_ra.value[bad_matches], new_dec.value[bad_matches], ra_residual2.value[bad_matches], dec_residual2.value[bad_matches], color='r') pl.quiver(new_ra.value[~bad_matches], new_dec.value[~bad_matches], ra_residual2.value[~bad_matches], dec_residual2.value[~bad_matches], color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.all_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.all_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r2-r1, d2-d1, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] # this doesn't do anything because the original "ww" didn't have SIP coefficients (x1 == xgrid exactly) x1,y1 = ww.sip_pix2foc(xgrid, ygrid, 0) # `sip_pix2foc` returns locations relative to crpix, so we redefine x1,x2 to be relative to crpix x1,y1 = xgrid - ww.wcs.crpix[0], ygrid - ww.wcs.crpix[1] x2,y2 = new_wcs2.sip_pix2foc(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, x1-x2, y1-y2, color='w') #[Out]# xy_starfind2 = xy_starfind.T[~bad_matches].T new_sky_coordinates2 = new_sky_coordinates.T[~bad_matches].T new_wcs2 = fit_wcs_from_points(xy_starfind2, new_sky_coordinates2, sip_degree=3) new_ra2, new_dec2 = new_wcs2.wcs_pix2world(starcat['xcentroid'], starcat['ycentroid'], 0)*u.deg ra_residual2 = (new_ra2-new_sky_coordinates.ra).to(u.arcsec) dec_residual2 = (new_dec2-new_sky_coordinates.dec).to(u.arcsec) pl.plot(ra_residual2, dec_residual2, 'x') pl.grid() new_wcs2 #[Out]# WCS Keywords #[Out]# #[Out]# Number of WCS axes: 2 #[Out]# CTYPE : 'RA---TAN-SIP' 'DEC--TAN-SIP' #[Out]# CRVAL : 290.9207853485614 14.506229880371471 #[Out]# CRPIX : 1045.9486807512487 1016.101600741903 #[Out]# CD1_1 CD1_2 : -5.399683343456797e-05 -1.7692217065600958e-09 #[Out]# CD2_1 CD2_2 : 4.061043497272642e-08 -5.403636528255915e-05 #[Out]# NAXIS : 2000.7783858533226 2028.2073632349282 pl.figure(figsize=(24,24)) ax = pl.subplot(projection=new_wcs2) pl.imshow(filehandle[0].data, norm=visualization.simple_norm(filehandle[0].data, min_percent=1, max_percent=99.9)) pl.plot(starcat['xcentroid'], starcat['ycentroid'], 'wo', markeredgecolor='w', markerfacecolor='none') pl.plot(table_coordinates.ra, table_coordinates.dec, transform=ax.get_transform('world'), marker='x', color='r', linestyle='none') ax.axis(axlims) #[Out]# (-0.5, 2047.5, -0.5, 2047.5) #pl.quiver(new_ra.value, new_dec.value, ra_residual2.value, dec_residual2.value, color='w') pl.quiver(new_ra.value[bad_matches], new_dec.value[bad_matches], ra_residual2.value[bad_matches], dec_residual2.value[bad_matches], color='r') pl.quiver(new_ra.value[~bad_matches], new_dec.value[~bad_matches], ra_residual2.value[~bad_matches], dec_residual2.value[~bad_matches], color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] r1,d1 = ww.all_pix2world(xgrid, ygrid, 0) r2,d2 = new_wcs2.all_pix2world(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, r2-r1, d2-d1, color='w') #[Out]# ygrid, xgrid = np.mgrid[0:2048:128, 0:2048:128] # this doesn't do anything because the original "ww" didn't have SIP coefficients (x1 == xgrid exactly) x1,y1 = ww.sip_pix2foc(xgrid, ygrid, 0) # `sip_pix2foc` returns locations relative to crpix, so we redefine x1,x2 to be relative to crpix x1,y1 = xgrid - ww.wcs.crpix[0], ygrid - ww.wcs.crpix[1] x2,y2 = new_wcs2.sip_pix2foc(xgrid, ygrid, 0) pl.quiver(xgrid, ygrid, x1-x2, y1-y2, color='w') #[Out]#