diff --git a/65P_atlas_haleakela.fits b/65P_atlas_haleakela.fits new file mode 100644 index 0000000..2609db9 --- /dev/null +++ b/65P_atlas_haleakela.fits @@ -0,0 +1,1733 @@ +SIMPLE = T / conforms to FITS standard BITPIX = 16 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 309 NAXIS2 = 309 TIMESYS = 'UTC ' / Time scale RADESYS = 'ICRS ' / Equatorial coordinate system MJD-OBS = 58678.58601525 / [d] MJD of observation MJD-CAM = 58678.5860116898 / [UTC MJD] camera shutter close time CTRLID = '005468867071B054' / controller backplane ID EXPTIME = 30.0000 / [sec] Exposure time DARKWAIT= 0.6 / [sec] Time from shutter close to readout DARKTIME= 0.6000 / [sec] Dark current time PRESKIP1= 10 / [pix] Pixels skipped before read PIXREAD1= 1350 / [pix] Pixels read for image OVRSKIP1= 0 / [pix] Pixels skipped after read OVRSCAN1= 0 / [pix] Pixels read for bias PRESKIP2= 0 / [pix] Lines skipped before read PIXREAD2= 5300 / [pix] Lines read for image OVRSKIP2= 0 / [pix] Lines skipped after read OVRSCAN2= 0 / [pix] Lines read for bias CCDBIN1 = 1 / [] Horizontal binning factor CCDBIN2 = 1 / [] Vertical binning factor EADU = 2.05 / [e/ADU] nominal amplifier inverse gain GAIN = 2.05 / [e/ADU] nominal amplifier inverse gain ARCH_SEQ= 10973374 / [] Archon sequence number ARCH_TBK= 26.625 / [C] Archon backplane temperature ARCH_T1 = 24.562 / [C] Archon module 1 temperature ARCH_T2 = 28.125 / [C] Archon module 2 temperature ARCH_T3 = 31.75 / [C] Archon module 3 temperature ARCH_T4 = 38.125 / [C] Archon module 4 temperature ARCH_T5 = 31.25 / [C] Archon module 5 temperature ARCH_T6 = 30.937 / [C] Archon module 6 temperature ARCH_T7 = 31.125 / [C] Archon module 7 temperature ARCH_T8 = 27.937 / [C] Archon module 8 temperature ARCH_T9 = 29.25 / [C] Archon module 9 temperature ARCH_T10= 28.25 / [C] Archon module 10 temperature AC_RTD1 = 1023.88 / [ohm] Acam RTD1 resistance AC_RTD2 = 1028.024 / [ohm] Acam RTD2 resistance AC_RTD3 = 773.787 / [ohm] Acam RTD3 resistance AC_RTD4 = 772.497 / [ohm] Acam RTD4 resistance AC_RTD5 = 787.692 / [ohm] Acam RTD5 resistance AC_RTD6 = 1058.246 / [ohm] Acam RTD6 resistance AC_RTD7 = 1030.419 / [ohm] Acam RTD7 resistance AC_RTD8 = 2494.999 / [ohm] Acam RTD8 resistance AC_TEMP1= 6.11 / [C] Acam temperature 1 AC_TEMP2= 7.17 / [C] Acam temperature 2 AC_TEMP3= -57.37 / [C] Acam temperature 3 AC_TEMP4= -57.69 / [C] Acam temperature 4 AC_TEMP5= -53.87 / [C] Acam temperature 5 AC_TEMP6= 14.93 / [C] Acam temperature 6 AC_TEMP7= 7.79 / [C] Acam temperature 7 AC_TEMP8= 432.26 / [C] Acam temperature 8 AC_IONON= 1 / [] Ion pump enabled? AC_IONI = 0.102 / [A] Ion pump current AC_IONV = 3.191 / [V] Ion pump voltage AC_TECON= 1 / [] Acam TEC enabled? AC_TECI = 4.474 / [A] Acam TEC current AC_TECV = 22.081 / [V] Acam TEC voltage AC_PRESS= 1419 / [utorr] Acam micropirani pressure AC_HALL1= 1.931476 / [V] Hall1 voltage AC_HALL2= 1.833401 / [V] Hall2 voltage AC_HALL3= 1.825838 / [V] Hall3 voltage DETZ0 = 206. / [um] detector posn wrt nom DETDZDX = -270. / [um/m] detector x tilt DETDZDY = -278. / [um/m] detector y tilt DETTEM = -53.87 / [C] Acam CCD temperature TEC_LCLD= -57.37 / [C] Acam left cold TEC temp TEC_RCLD= -57.69 / [C] Acam right cold TEC temp TEC_LHOT= 6.11 / [C] Acam left hot TEC temp TEC_RHOT= 7.17 / [C] Acam right hot TEC temp MINFLOOR= -516 / [ADU] very smallest value in image MINVALUE= 504 / [ADU] smallest typical value in image MAXVALUE= 42823 / [ADU] largest typical value in image SUBXTALK= 1 / Was cross-talk subtracted from image? RDNOISE = 5.583 / [ADU] average read noise AVEVAR0 = 1.608 / [e/ADU] ave/var in row 0 AVEVAR1 = 1.868 / [e/ADU] ave/var in row 1 AVEVAR2 = 1.935 / [e/ADU] ave/var in row 2 AVEVAR3 = 1.792 / [e/ADU] ave/var in row 3 AVEVAR4 = 1.608 / [e/ADU] ave/var in row 4 AVEVAR5 = 1.842 / [e/ADU] ave/var in row 5 AVEVAR6 = 1.713 / [e/ADU] ave/var in row 6 AVEVAR7 = 1.783 / [e/ADU] ave/var in row 7 AUXBIN = 8 / binning factor for var,sky,gain,bin images SKYADU = 783.06 / [ADU] median background value SKYRMS = 28.354 / [ADU] RMS of background BCKGND = 716 / [ADU] sky level (-3.00sig = 0.0013quant) SATURATE= 39024 / [ADU] saturation NSATPIX = 45348 / number of saturated pixels EXTNAME = 'image ' NEXTEND = 10 / img,mask,var,gain,bkg,bin,cbias,rbias FLATFILE= '/atlas/cal/02a/58613/02a58613o.pflat.fz' / flat file DARKFILE= '/atlas/cal/02a/02a.dark' / dark file DARKSCAL= 0.258762235214058 / Factor multiplying calibration dark MASKFILE= '/atlas/cal/02a/02a.mask' / mask file PIXSIZE = 9. / [um] pixel size DETECTOR= 'STA1600LN' / detector type DETID = 'STA1600LN-SN19002' / detector serial number CONTROLR= 'Archon ' / controller type CAMID = 'acam1 ' / camera identification DATASEC = '[1:10560,1:10560]' DETSEC = '[1:10560,1:10560]' BIASSEC = '[1:0,1:0]' DATE-OBS= '2019-07-14T14:03:51+0000' / ISO-8601 time of observation MJD-INST= 58678.586007 / [UTC-MJD] Initiation of camera exposure MJDCAMOF= 0.614000 / [sec] true shutter open minus acam MJD-CAM MJDDFMOF= 0.281000 / [sec] true shutter open minus DFM0 DATE = '2019-07-14T04:11:35' / Date this file was created. OBSNAME = '02a58678o0644o' / Observation ID OBSID = '02a58678o0644o' / Observation ID FILTER = 'o' / Filter name FILTID = '' / Filter ID OBJECT = 'SU041N09' / Object SURVMODE= 'SU041N09' / Survey mode (often same as OBJECT) RA-CMD = 40.8988 / [deg] Commanded RA DEC-CMD = 9.3400 / [deg] Commanded Dec RA-TTEL = 0.0000 / [deg] RA TAR_TEL from RTS2 DEC-TTEL= 0.0000 / [deg] Dec TAR_TEL from RTS2 AZ-CMD = 93.7869 / [deg] Commanded Az ALT-CMD = 36.7908 / [deg] Commanded Alt MJD-MNT = 58678.58600300 / [MJD-UTC] Mount time RA-MNT = 40.8989 / [deg] Mount RA DEC-MNT = 9.3400 / [deg] Mount Dec LST-MNT = 346.8573 / [deg] Mount local sidereal time AXRA = 124103273 / [] Mount RA axis count AXDEC = 31799769 / [] Mount Dec axis count DOMEAZ = 104.0320 / [deg] Dome azimuth DOMEDROP= 'OPEN' / Dome dropout status ENVMJD = 58678.5858 / [MJD UTC] Boltwood report time ENVTSKY = -39.7267 / [C] Boltwood sky temperature ENVTEM = 10.8567 / [C] Boltwood outside temperature ENVWIN = 13.6067 / [kph] Boltwood wind speed ENVHUM = 56.0000 / [%] Boltwood relative humidity SITELONG= -156.2570 / [deg] Site longitude, E of Greenwich SITELAT = 20.7075 / [deg] Site latitude SITEELEV= 3062.6580 / [m] Site elevation OTATEMP = 10.1000 / [C] Temperature inside OTA OTAHUMID= 11.0000 / [%] Humidity inside OTA DOMETEMP= 10.6000 / [C] Temperature inside dome DOMEHUM = 55.0000 / [%] Humidity inside dome CHILLTEM= 3.0000 / [C] Water chiller FOCUSNOM= 0 / [um] DFM nominal focus FOCUSZ0 = 0 / [um] DFM nominal detector piston (Z0) FILTNUM = 1 / [0-7] DFM filter number IWCOUNT = 0 / [] DFM filter insert/withdraw position FOCUS = 10531 / [um] DFM mirror focus (from 58678.focstash.621)MJD-DFM0= 58678.58601200 / [MJD-UTC] DFM shutter launch MJD-DFM1= 58678.58601830 / [MJD-UTC] DFM shutter open MJD-DFM2= 58678.58635930 / [MJD-UTC] DFM shutter retreat MJD-DFM3= 58678.58636570 / [MJD-UTC] DFM shutter close RP_EXIST= 'T' / metadata file has reduction params RP_FNMOS= 1 / how many devices in mosaic RP_SCID = 'acam1' / Name of 02a camera RP_STMIN= 100.0 / [ADU] min for do/tphot trigger RP_SAPRD= 15.0 / [pix] imstars tphot aprad RP_SSIG = 3.0 / sigma for tphot trigger RP_SCHIN= 1.0E+04 / max chi^2/N for tphot trigger RP_STRAT= 4.00 / maj/min limit for trailed images RP_STCHI= 100.0 / chi limit for trailed images RP_SVPSF= 2 / dophot variable PSF order RP_SBLUR= 0.00 / FWHM image blur for dophot RP_SFWHM= 3.50 / FWHM guess for dphot RP_SAPM0= -14.0 / min mag for (ap-fit) RP_SAPM1= -10.0 / max mag for (ap-fit) RP_SAP0 = -0.8 / min value for (ap-fit) RP_SAP1 = 0.0 / max value for (ap-fit) RP_SAPGX= 8 / fiterp resolution in x for (ap-fit) RP_SAPGY= 8 / fiterp resolution in y for (ap-fit) RP_SSATL= 1.100 / estimate of flux loss when sat RP_ASCL = 1.860 / [arcsec/pix] nominal plate scale RP_APARI= 'pos' / [pos|neg] parity wrt view of sky RP_ARFRC= 0.666 / search rad as a frac of width or height RP_ACX = 5280.0 / [pix] FOV center wrt device origin RP_ACY = 5280.0 / [pix] FOV center wrt device origin RP_ICDIR= '/atlas/data/RC2/m17' / ref catalog path RP_IDOGS= 0 / do GS15 first before refcat? RP_INCEL= 10 / number of coverfrac cells RP_ICMIN= 20 / minimum occupancy for coverfrac cell RP_ICMAX= 0.05 / maximum acceptable coverfrac RP_IMLIM= 18.0 / [AB] limiting mag for ref search RP_IMPH2= 1 / yes, retry imphot anet failures RP_ICMX2= 0.450 / max acceptable coverfrac for fallback case RP_IMCOL= 4 / orange refcat mag col (gri=345) RP_ICCOL= 4 / refcat: color=CCOL-(CCOL+1) RP_IXCLR= -0.555 / color term: AB=MCOL+X*color RP_IABOF= 0.000 / offset from AB mags: m=ABoff+MCOL+X*color RP_IDIST= 5 / distortion polynomial order RP_ICUBE= -38.7 / [deg] angle where cubic term = 1 RP_IROT = 0.000 / [deg] nominal PA (+/-180) of image RP_PAPRD= 0 / 0 or fixed aperture radius RP_PBLOA= 0 / Bloat the PSF noise footprint? RP_PBLUR= 0.0 / Blur by FWHM before running dophot RP_PFWHM= 0 / Externally provided FWHM RP_PVPSF= 2 / polynomial order for dophot variable PSF RP_PNMAX= 3000000 / Max number of stars allowed (array size) RP_PNMIN= 10000000 / Quit if this minimum number has been found RP_PAPM0= -14.0 / min mag for (ap-fit) RP_PAPM1= -10.0 / max mag for (ap-fit) RP_PAP0 = -0.8 / min value for (ap-fit) RP_PAP1 = 0.0 / max value for (ap-fit) RP_PAPGX= 8 / fiterp resolution in x for (ap-fit) RP_PAPGY= 8 / fiterp resolution in y for (ap-fit) RP_TEST = 0 / just a dumb value NSTAR = 46871 / Number of stars in tphot FWHM = 1.9161 / [pix] PSF FWHM PSFELONG= 0.2923 / PSF elongation = sqrt((a^2-b^2)/ab) PSFQPLUS= 0.1103 / [pix^2] PSF plus quadrupole PSFQCROS= 0.1211 / [pix^2] PSF cross quadrupole PSFFLONG= 0.0000 / Fraction elongated more than 4.0 PSFPARNG= 0.00 / [deg] quartile range of elongated obj PSFDBL = 0.02202 / [] fraction of split stars PSFFW80 = 2.24 / [pix] 80th percentile FWHM FWHM0 = 2.1246 / [pix] FWHM constant FWHMX = 0.0925 / [pix/hCCD] FWHM x slope FWHMY = 0.1175 / [pix/hCCD] FWHM y slope FWHMX2 = -0.0383 / [pix/hCCD^2] FWHM x curv FWHMXY = 0.1100 / [pix/hCCD^2] FWHM xy curv FWHMY2 = -0.0708 / [pix/hCCD^2] FWHM y curv FWHMRMS = 0.0752 / [pix] FWHM parabola RMS resid ANETIME = 1.76 / [sec] anet compute time ANETALG = 1 / anet sort algorithm RA = 40.90449 / [deg] Field center RA (imphot) DEC = 9.34170 / [deg] Field center Dec (imphot) MAGZPT = 22.162 / [ABmag] mag zeropoint: m=zp-2.5log(ADU/dt) ZPRMS = 0.013 / [ABmag] scatter in mag zeropoint ZPNPT = 5071 / Nstar in mag zeropoint CLOUD = 1.000 / [] mean cloud transmission factor CLOUDRMS= 0.011 / [mag] cloud transmission RMS CDANAM = 1.275E-04 / CD anamorphic distortion CDSKEW = 1.424E-04 / CD skewness RARMS = 0.071 / ["] RMS scatter in RA dir DECRMS = 0.071 / ["] RMS scatter in Dec ZPDX = -0.004 / [mag/CCD] ZP tilt in x ZPDY = -0.015 / [mag/CCD] ZP tilt in y DZP = 0.004 / [mag] ZP RMS about tilted plane ASTBLANK= 0.000 / Fraction of area lacking astro stars ASTRESID= 0.073 / Astro resid relative to match tolerance ANETFAIL= 0 / Did anet fail completely? ANETDIST= 0 / Was anet distortion OK? ANETCD = 1 / Was anet CD OK? CLOUDIV = 0 / was cloud divided? WCSAXES = 2 / Number of coordinate axes CTYPE1 = 'RA---TPV' / TAN (gnomonic) projection + distortions CTYPE2 = 'DEC--TPV' / TAN (gnomonic) projection + distortions EQUINOX = 2000.0 / [yr] Time origin of coordinate system LONPOLE = 180.0 / [deg] Native longitude of celestial pole LATPOLE = 9.3417 / [deg] Native latitude of celestial pole CRVAL1 = 40.90449 / [deg] Coordinate value at reference point CRVAL2 = 9.34170 / [deg] Coordinate value at reference point CRPIX1 = 2637.0 / Pixel coordinate of reference point CRPIX2 = 1575.0 / Pixel coordinate of reference point CUNIT1 = 'deg ' / Units of coordinate increment and value CUNIT2 = 'deg ' / Units of coordinate increment and value CD1_1 = 5.174546023758E-04 / [deg/pix] Transformation matrix CD1_2 = 1.213211468847E-06 / [deg/pix] Transformation matrix CD2_1 = 1.065582842275E-06 / [deg/pix] Transformation matrix CD2_2 = -5.173229597447E-04 / [deg/pix] Transformation matrix IMAGEW = 10560 / Image width, in pixels. IMAGEH = 10560 / Image height, in pixels. A_ORDER = 5 / Polynomial order, axis 1 A_0_2 = -6.206477248809E-09 / RA distortion term A_0_3 = 1.352940037474E-13 / RA distortion term A_1_1 = -2.019675653530E-08 / RA distortion term A_1_2 = -1.718444543253E-10 / RA distortion term A_2_0 = -1.476053042399E-08 / RA distortion term A_2_1 = -1.963828421474E-13 / RA distortion term A_3_0 = -1.720531477731E-10 / RA distortion term B_ORDER = 5 / Polynomial order, axis 2 B_0_2 = -2.732165937145E-08 / Dec distortion term B_0_3 = -1.724662019496E-10 / Dec distortion term B_1_1 = -2.308258036217E-08 / Dec distortion term B_1_2 = -3.415394869307E-13 / Dec distortion term B_2_0 = -8.910613276892E-09 / Dec distortion term B_2_1 = -1.718773324837E-10 / Dec distortion term B_3_0 = 8.046679306489E-13 / Dec distortion term AP_ORDER= 5 / Polynomial order, axis 1 AP_0_1 = 3.171292154433E-07 / inv RA distort coeff AP_0_2 = 6.108033958873E-09 / inv RA distort coeff AP_0_3 = -1.738433420621E-13 / inv RA distort coeff AP_1_0 = 5.069799166257E-06 / inv RA distort coeff AP_1_1 = 2.014844804156E-08 / inv RA distort coeff AP_1_2 = 1.707911303257E-10 / inv RA distort coeff AP_2_0 = 1.449325041357E-08 / inv RA distort coeff AP_2_1 = 1.502047762651E-13 / inv RA distort coeff AP_3_0 = 1.712704599028E-10 / inv RA distort coeff BP_ORDER= 5 / Polynomial order, axis 2 BP_0_1 = 4.967527178046E-06 / inv Dec distort coeff BP_0_2 = 2.721558671183E-08 / inv Dec distort coeff BP_0_3 = 1.716903513486E-10 / inv Dec distort coeff BP_1_0 = 3.616659577504E-07 / inv Dec distort coeff BP_1_1 = 2.300133910334E-08 / inv Dec distort coeff BP_1_2 = 2.963474826769E-13 / inv Dec distort coeff BP_2_0 = 8.861792162296E-09 / inv Dec distort coeff BP_2_1 = 1.708419664532E-10 / inv Dec distort coeff BP_3_0 = -8.524854148049E-13 / inv Dec distort coeff SECPIX = 1.863 / [arcsec/pix] plate scale PA = 179.866 / [deg] image position angle PARITY = -1 / image parity with respect to RA/Dec RADECSYS= 'ICRS' / Astrometric system PV1_0 = 2.056681057311E-14 / TPV coefficient: 1 PV1_1 = 1.000000000000E+00 / TPV coefficient: x PV1_2 = 1.291842442722E-09 / TPV coefficient: y PV1_4 = -2.864616360153E-05 / TPV coefficient: xx PV1_5 = 3.906105313914E-05 / TPV coefficient: xy PV1_6 = -1.203244477268E-05 / TPV coefficient: yy PV1_7 = -6.425575295787E-04 / TPV coefficient: xxx PV1_8 = 3.628410040979E-07 / TPV coefficient: xxy PV1_9 = -6.421076156484E-04 / TPV coefficient: xyy PV1_10 = -5.002163067482E-07 / TPV coefficient: yyy PV2_0 = -5.455014714684E-14 / TPV coefficient: 1 PV2_2 = -1.291824088940E-09 / TPV coefficient: x PV2_1 = 1.000000000000E+00 / TPV coefficient: y PV2_6 = 1.724871660046E-05 / TPV coefficient: xx PV2_5 = -4.466396958993E-05 / TPV coefficient: yx PV2_4 = 5.268414330038E-05 / TPV coefficient: yy PV2_10 = -3.005732661718E-06 / TPV coefficient: xxx PV2_9 = -6.419313775329E-04 / TPV coefficient: yxx PV2_8 = 9.239639978099E-07 / TPV coefficient: yyx PV2_7 = -6.444323811149E-04 / TPV coefficient: yyy A_4_0 = -2.561840622098E-16 / RA distortion term A_3_1 = -2.209270912249E-17 / RA distortion term A_2_2 = 6.487068894558E-17 / RA distortion term A_1_3 = 4.429012412906E-18 / RA distortion term A_0_4 = -2.573641929743E-17 / RA distortion term A_5_0 = -2.831457828121E-19 / RA distortion term A_4_1 = 5.644691401592E-23 / RA distortion term A_3_2 = -5.884611454315E-19 / RA distortion term A_2_3 = 1.640373743909E-21 / RA distortion term A_1_4 = -3.364633521922E-19 / RA distortion term A_0_5 = -6.500224275710E-21 / RA distortion term B_4_0 = 4.509138552827E-17 / Dec distortion term B_3_1 = 1.127267609935E-16 / Dec distortion term B_2_2 = -1.519416739324E-16 / Dec distortion term B_1_3 = 3.583619518497E-17 / Dec distortion term B_0_4 = -2.752785601094E-17 / Dec distortion term B_5_0 = -2.302010752651E-20 / Dec distortion term B_4_1 = -3.088817890737E-19 / Dec distortion term B_3_2 = 4.381989231462E-21 / Dec distortion term B_2_3 = -6.114928040393E-19 / Dec distortion term B_1_4 = 5.090238451136E-21 / Dec distortion term B_0_5 = -2.850621120390E-19 / Dec distortion term PV1_12 = -1.848516943434E-06 / TPV coefficient: xxxx PV1_13 = 1.383234329368E-07 / TPV coefficient: xxxy PV1_14 = 4.670927512452E-07 / TPV coefficient: xxyy PV1_15 = -2.887358692866E-08 / TPV coefficient: xyyy PV1_16 = -1.864768026403E-07 / TPV coefficient: yyyy PV1_17 = -3.950020115035E-06 / TPV coefficient: xxxxx PV1_18 = -3.180919307653E-09 / TPV coefficient: xxxxy PV1_19 = -8.211667768959E-06 / TPV coefficient: xxxyy PV1_20 = -2.196025096146E-08 / TPV coefficient: xxyyy PV1_21 = -4.698568212049E-06 / TPV coefficient: xyyyy PV1_22 = 8.909539028647E-08 / TPV coefficient: yyyyy PV2_16 = -3.308342674148E-07 / TPV coefficient: xxxx PV2_15 = 8.062938221400E-07 / TPV coefficient: yxxx PV2_14 = 1.101953338482E-06 / TPV coefficient: yyxx PV2_13 = 2.622309185776E-07 / TPV coefficient: yyyx PV2_12 = 1.990582014756E-07 / TPV coefficient: yyyy PV2_22 = 3.217332608447E-07 / TPV coefficient: xxxxx PV2_21 = -4.304206642123E-06 / TPV coefficient: yxxxx PV2_20 = -6.572330739907E-08 / TPV coefficient: yyxxx PV2_19 = -8.533213074255E-06 / TPV coefficient: yyyxx PV2_18 = -7.977075127635E-08 / TPV coefficient: yyyyx PV2_17 = -3.980039443775E-06 / TPV coefficient: yyyyy AP_4_0 = 2.880061209201E-16 / inv RA distort coeff AP_3_1 = 4.698965212753E-17 / inv RA distort coeff AP_2_2 = -3.346177816317E-17 / inv RA distort coeff AP_1_3 = 2.050103499247E-17 / inv RA distort coeff AP_0_4 = 3.230531675937E-17 / inv RA distort coeff AP_5_0 = 4.069785879149E-19 / inv RA distort coeff AP_4_1 = 1.447105099654E-21 / inv RA distort coeff AP_3_2 = 8.486490185529E-19 / inv RA distort coeff AP_2_3 = 3.100530996496E-23 / inv RA distort coeff AP_1_4 = 4.714611476208E-19 / inv RA distort coeff AP_0_5 = 7.661830449357E-21 / inv RA distort coeff BP_4_0 = -4.001084549564E-17 / inv Dec distort coeff BP_3_1 = -9.194993167553E-17 / inv Dec distort coeff BP_2_2 = 1.930547784826E-16 / inv Dec distort coeff BP_1_3 = -1.057624671356E-17 / inv Dec distort coeff BP_0_4 = 5.802290926273E-17 / inv Dec distort coeff BP_5_0 = 2.443310444284E-20 / inv Dec distort coeff BP_4_1 = 4.420671377255E-19 / inv Dec distort coeff BP_3_2 = -2.801991027531E-21 / inv Dec distort coeff BP_2_3 = 8.725854463837E-19 / inv Dec distort coeff BP_1_4 = -3.826707531345E-21 / inv Dec distort coeff BP_0_5 = 4.093646467138E-19 / inv Dec distort coeff OBSTYPE = 'object' / Observation type AZ = 93.79916 / [deg] azimuth of field center ALT = 36.82456 / [deg] altitude of field center SECZ = 1.668 / [] airmass AIRMASS = 1.668 / [] airmass HA = -54.04228 / [deg] hour angle of field center HA-HMS = '-03:36:10' / [h:m:s] local sidereal time LST = 346.862 / [deg] local sidereal time LST-HMS = '23:07:26' / [h:m:s] local sidereal time LAMBDA = 41.395 / [deg] ecliptic longitude BETA = -6.205 / [deg] ecliptic latitude L2 = 163.517 / [deg] galactic longitude B2 = -44.511 / [deg] galactic latitude SUNELONG= 70.588 / [deg] angle to sun MANGLE = 136.949 / [deg] angle to moon MOONSKY = 21.000 / [mag] surface brightness from moon SEEING = 3.570 / [arcsec] PSF FWHM SKYMAG = 20.07 / [mag/sec^2] sky brightness MAG5SIG = 19.34 / [mag] 5-sigma limiting magnitude CHECKSUM= 'TapMUTmLTZmLTZmL' / HDU checksum updated 2019-07-14T14:11:55 DATASUM = '676405765' / data unit checksum updated 2019-07-14T14:11:55 PC1_1 = 0.0005174546023758 / Coordinate transformation matrix element PC1_2 = 1.213211468847E-06 / Coordinate transformation matrix element PC2_1 = 1.065582842275E-06 / Coordinate transformation matrix element PC2_2 = -0.0005173229597447 / Coordinate transformation matrix element CDELT1 = 1.0 / [deg] Coordinate increment at reference point CDELT2 = 1.0 / [deg] Coordinate increment at reference point MJDREF = 0.0 / [d] MJD of fiducial time SIS-OID = 'urn:nasa:pds:gbo.ast.atlas.survey.240:58678:02a58678o0644o.fits' / obSIS-RA = 39.60051 / cutout center RA (deg) SIS-DEC = 10.07018 / cutout center Dec (deg) SIS-SIZE= '0d09m36s' / cutout size BSCALE = 1 BZERO = 32768 COMMENT Cutout generated by the SBN Survey Image Service COMMENT NASA Planetary Data System Small-Bodies Node COMMENT version 0.4.4 COMMENT date 2025-03-25 18:25:13.030 END ‚üƒ‚ę‚į‚÷‚Ũ‚ü‚ú‚Ų‚üƒƒ‚÷ƒ +ƒ‚僂ņ‚߃ƒ ƒ‚ö‚Í‚ō‚äƒ"ƒƒƒ‚úƒ‚öƒƒ4‚å‚ā‚ųƒƒƒ‚ûƒ‚å‚ņ‚僃!ƒ4ƒ +‚õ‚ņ‚üƒ +ƒƒƒƒ‚ëƒ ‚čƒ ƒ‚ä‚惃 ‚ųƒƒ‚öƒƒƒ‚˙ƒƒ‚üƒƒ‚öƒ‚ûƒ ‚ũƒ&ƒƒƒƒ‚ķ‚׃ƒ‚ōƒƒ!‚īƒ +‚÷ƒƒ‚ũ‚įƒƒƒ‚ėƒƒ‚å‚ķ‚߃(ƒ ƒ‚÷‚øƒ ƒƒ‚ũƒ4‚ūƒ]‚ō‚ū‚ūƒ‚úƒƒƒ9ƒPƒ5ƒ ƒƒƒ‚éƒ‚ęƒ +ƒƒƒƒƒ‚ũƒ‚úƒ9ƒ5ƒ*‚ûƒƒ2ƒ"‚ôƒƒƒƒƒƒƒ+ƒƒƒ‚ņƒƒƒƒ ƒ-‚ķƒ1ƒ$‚û‚ōƒ!ƒƒƒƒƒ ƒ ‚ķƒ1ƒ ‚ä‚÷ƒƒƒƒ ƒ‚ũ‚ü‚ōƒƒ ƒ‚õƒ‚û‚úƒƒƒ ƒ ƒƒ ‚냃‚čƒ%‚ú‚ũƒ‚ë‚â‚üƒƒF‚û‚ũ‚ッ‚ųƒƒ‚ōƒƒƒ‚į‚ôƒƒƒƒ‚ęƒ‚ųƒƒ"‚ú‚ų‚į‚ôƒƒ‚ôƒ)ƒ‚ø‚õ‚ ƒ‚üƒ ƒ)ƒƒƒƒ5ƒA‚ė‚ūƒƒ$‚úƒ’ƒ˙„Ē„„ ƒkƒ$ƒ +ƒ‚ä‚ę‚đƒƒƒƒƒ ƒƒ‚ņ‚øƒ‚ų‚僃 ƒ&ƒƒƒƒƒ ƒƒƒ‚Ū‚탃 ƒ ƒ‚‚đƒ%‚õƒ‚īƒ>‚郃ƒ +ƒƒ&ƒƒƒƒƒ.ƒ‚ķƒƒ‚÷‚ę‚å‚ņƒ'‚īƒ‚÷ƒ ‚öƒ‚ęƒ‚úƒPƒaƒ5ƒHƒ‚냂ڃƒ‚ũ‚䃃‚˙ƒ&‚đ‚ũ‚ų‚đƒ‚ׂú‚ûƒ +ƒƒ‚Đ‚Øƒ ƒ#ƒƒ ‚÷‚ëƒ ƒƒƒƒ ƒ-ƒƒ‚÷‚Ũƒ‚ôƒƒ ‚˙ƒ‚ņƒ&ƒ ‚ė‚탃#ƒ‚ā‚ö‚ėƒ‚öƒƒƒ‚ü‚ūƒƒ4ƒ‚āƒ*‚üƒƒ#ƒ‚ūƒ"‚ų‚÷ƒƒƒ1ƒ{ƒŌƒRƒƒƒƒ!‚Ņ‚ûƒ ‚ë‚ūƒƒƒ +ƒ;ƒƒ ‚ƒ‚í‚ņ‚ņ‚í‚õ‚ũƒ&ƒ ƒ‚íƒ ƒ‚õƒ$ƒ,ƒ"ƒƒ‚ëƒ:ƒ$ƒ+ƒ‚ô‚ûƒƒ‚ũ‚Õƒƒ4ƒ‚˙ƒ'ƒ3ƒ‚؃.ƒ‚߃1ƒ&ƒ&ƒ‚ũƒ)ƒƒ +‚ėƒ +ƒ7‚įƒ‚ũƒƒƒ‚ųƒƒ‚î‚ōƒ ƒƒ‚ķ‚ū‚í‚÷ƒ‚Öƒ‚đƒ‚ü‚ņƒ 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distortions CTYPE2 = 'DEC--TAN-SIP' / TAN (gnomic) projection + SIP distortions EQUINOX = 2000.0 / Equatorial coordinates definition (yr) LONPOLE = 180.0 / no comment LATPOLE = 0.0 / no comment CRVAL1 = 39.6059466744 / RA of reference point CRVAL2 = 10.08754979 / DEC of reference point CRPIX1 = 165.774299622 / X reference pixel CRPIX2 = 121.26237607 / Y reference pixel CUNIT1 = 'deg ' / X pixel scale units CUNIT2 = 'deg ' / Y pixel scale units CD1_1 = 0.000515226891779 / Transformation matrix CD1_2 = 2.46674239474E-06 / no comment CD2_1 = 3.5549274107E-06 / no comment CD2_2 = -0.000515937986061 / no comment IMAGEW = 309 / Image width, in pixels. IMAGEH = 309 / Image height, in pixels. A_ORDER = 2 / Polynomial order, axis 1 A_0_0 = 0 / no comment A_0_1 = 0 / no comment A_0_2 = 3.85418490056E-06 / no comment A_1_0 = 0 / no comment A_1_1 = 2.02698326909E-06 / no comment A_2_0 = 2.69235517233E-06 / no comment B_ORDER = 2 / Polynomial order, axis 2 B_0_0 = 0 / no comment B_0_1 = 0 / no comment B_0_2 = 2.13451389702E-07 / no comment B_1_0 = 0 / no comment B_1_1 = -1.76698130425E-06 / no comment B_2_0 = 2.30289522457E-06 / no comment AP_ORDER= 2 / Inv polynomial order, axis 1 AP_0_0 = -8.75463719824E-06 / no comment AP_0_1 = 3.77789784714E-07 / no comment AP_0_2 = -3.8533722854E-06 / no comment AP_1_0 = 3.94961426192E-07 / no comment AP_1_1 = -2.02689481214E-06 / no comment AP_2_0 = -2.69198571105E-06 / no comment BP_ORDER= 2 / Inv polynomial order, axis 2 BP_0_0 = 3.24197592492E-06 / no comment BP_0_1 = 2.09289236239E-09 / no comment BP_0_2 = -2.1426820327E-07 / no comment BP_1_0 = 2.2717079936E-07 / no comment BP_1_1 = 1.76765279683E-06 / no comment BP_2_0 = -2.30288680677E-06 / no comment HISTORY Created by the Astrometry.net suite. HISTORY For more details, see http://astrometry.net. HISTORY Git URL https://github.com/dstndstn/astrometry.net HISTORY Git revision 0.95 HISTORY Git date Mon_May_6_18:41:28_2024_-0400 HISTORY This is a WCS header was created by Astrometry.net. DATE = '2025-03-25T14:27:03' / Date this file was created. 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/opt/homebrew/Cellar/astrometry-net/0.95_2/data/index-1303 COMMENT 31000-01.fits COMMENT Index(899): COMMENT /opt/homebrew/Cellar/astrometry-net/0.95_2/data/index-1303 COMMENT 31000-00.fits COMMENT Field name: ./65P_atlas_haleakela.axy COMMENT Field scale lower: 0.93 arcsec/pixel COMMENT Field scale upper: 3.72 arcsec/pixel COMMENT X col name: X COMMENT Y col name: Y COMMENT Start obj: 0 COMMENT End obj: 10 COMMENT Solved_in: (null) COMMENT Solved_out: ./65P_atlas_haleakela.solved COMMENT Parity: 2 COMMENT Codetol: 0.01 COMMENT Verify pixels: 1 pix COMMENT Maxquads: 0 COMMENT Maxmatches: 0 COMMENT Cpu limit: 300.000000 s COMMENT Time limit: 0 s COMMENT Total time limit: 0 s COMMENT Total CPU limit: 300.000000 s COMMENT Tweak: yes COMMENT Tweak AB order: 2 COMMENT Tweak ABP order: 2 COMMENT -- COMMENT -- properties of the matching quad: -- COMMENT index id: 5202 COMMENT index healpix: 0 COMMENT index hpnside: 2 COMMENT log odds: 153.343 COMMENT odds: 3.94529e+66 COMMENT quadno: 210971 COMMENT stars: 351991,352625,352612,351993 COMMENT field: 2,0,8,9 COMMENT code error: 0.001527 COMMENT nmatch: 36 COMMENT nconflict: 0 COMMENT nfield: 41 COMMENT nindex: 56 COMMENT scale: 1.85613 arcsec/pix COMMENT parity: 0 COMMENT quads tried: 88 COMMENT quads matched: 47 COMMENT quads verified: 34 COMMENT objs tried: 10 COMMENT cpu time: 0.007155 COMMENT -- END \ No newline at end of file diff --git a/catch_analysis_tools/app/api/openapi.yaml b/catch_analysis_tools/app/api/openapi.yaml index 969451f..732d5e0 100644 --- a/catch_analysis_tools/app/api/openapi.yaml +++ b/catch_analysis_tools/app/api/openapi.yaml @@ -200,3 +200,230 @@ paths: "500": description: Internal server error + /subtract_median_background: + post: + operationId: catch_analysis_tools.app.services.subtract_median_background.perform_median_subtraction + summary: "Compute the median background with source masking, saving the background-subtracted image as a new FITS file." + parameters: + - name: url + in: query + description: "Cutout URL from CATCH query" + example: "https://sbnsurveys.astro.umd.edu/api/images/urn:nasa:pds:gbo.ast.atlas.survey.258:59185:01a59185o0401o.fits?ra=13.46483&dec=15.80546&size=0.16deg&format=fits" + required: true + schema: + type: string + responses: + "200": + description: Background-subtracted image saved as a new FITS file. + content: + application/json: + schema: + type: object + description: Path to the background-subtracted FITS file. + properties: + background_subtracted_image_path: + description: Path to the background-subtracted FITS file. + type: string + /do_default_photometry: + post: + operationId: catch_analysis_tools.app.services.photometry.default_extraction + summary: "Perform a basic (circular aperture, background annulus centered on target) extraction on source nearest to target ephemeris location" + parameters: + - name: filebase + in: query + description: "Base filename (without .fits or .wcs extension) taken from CATCH-generated query URL." + example: "65P_atlas_haleakela" + required: true + schema: + type: string + - name: target_ra + in: query + description: "Target Right Ascension ephemeris location, to be used as initial guess for the object." + example: "39.60040" + required: true + schema: + type: number + - name: target_dec + in: query + description: "Target Declination ephemeris location, to be used as initial guess for the object." + example: "10.07014" + required: true + schema: + type: number + - name: search_radius + in: query + description: "Radius in pixels of search area (centered on (target_ra,target_dec) ) for centroiding." + example: "7" + required: true + schema: + type: number + - name: aperture_size + in: query + description: "Radius (in pixels) for source flux extraction aperture." + example: "7" + required: true + schema: + type: number + - name: an_in + in: query + description: "Radius (in pixels) for inner edge of annulus for background subtraction, centered on target." + example: "7" + required: true + schema: + type: number + - name: an_out + in: query + description: "Radius (in pixels) for outer edge of annulus for background subtraction, centered on target." + example: "15" + required: true + schema: + type: number + responses: + "200": + description: Calibrated magnitude array from chosen aperture photometry settings, and output plot showing the aperture on the cutout + content: + application/json: + schema: + type: array + description: Magnitude from source flux with asymmetric uncertainties. + items: + type: object + description: Output from photometry.centroid_location(). Array containing search input parameters (initial guess, search radius) and final centroided location. + properties: + search_results: + description: Array of input search parameters and output centroid + centroid_figure: + description: Location of figure showing centroid search + type: object + description: Output from photometry.calibrated_mag(). Array containing source CALIBRATED magnitude and uncertainties, as [Magnitude, Upper Magnitude Uncertainty, Lower Magnitude Uncertainty]. + properties: + cal_mag: + description: Calibrated magnitude + type: number + cal_mag_hi_uncert: + description: Upper uncertainty on calibrated magnitude + type: number + cal_mag_lo_uncert: + description: Lower uncertainty on calibrated magnitude + type: number + type: object + description: Cutout image with aperture + properties: + aperture_figure: + description: Output plot showing the default aperture + annulus extraction onto the cutout image. + type: string + type: object + description: Output from photometry.centroid_location(). Array containing search input parameters (initial guess, search radius) and final centroided location. + properties: + init_guess_x: + description: x pixel coordinate of guess + type: number + init_guess_y: + description: y pixel coordinate of guess + type: number + init_guess_RA: + description: RA value of guess + type: number + init_guess_Dec: + description: Dec value of guess + type: number + search_radius: + description: Radius in pixels for source search + type: number + cent_x: + description: x pixel coordinate of centroided source + type: number + cent_y: + description: y pixel coordinate of centroided source + type: number + cent_RA: + description: RA value of centroided source + type: number + cent_Dec: + description: Dec value of centroided source + type: number + type: object + description: Cutout image showing selected target centroid in the cutout image. + properties: + centroid_figure: + description: Location of centroid plot. + type: string + /get_centroided_target_location: + post: + operationId: catch_analysis_tools.app.services.photometry.centroid_location + summary: "Find nearest target centroid to a user-specified point, with user-specified search radius." + parameters: + - name: filebase + in: query + description: "Base filename (without .fits or .wcs extension) taken from CATCH-generated query URL." + example: "65P_atlas_haleakela" + required: true + schema: + type: string + - name: target_ra + in: query + description: "Target pixel RA value, to be used as initial guess for the object." + example: "39.60040" + required: true + schema: + type: number + - name: target_dec + in: query + description: "Target pixel Dec value, to be used as initial guess for the object." + example: "10.07014" + required: true + schema: + type: number + - name: search_radius + in: query + description: "Radius in pixels of search area (centered on (target_x,target_y) ) for centroiding." + example: "7" + required: true + schema: + type: number + responses: + "200": + description: Calibrated magnitude array from chosen aperture photometry settings, and output plot showing the aperture on the cutout + content: + application/json: + schema: + type: array + description: Magnitude from source flux with asymmetric uncertainties. + items: + type: object + description: Output from photometry.centroid_location(). Array containing search input parameters (initial guess, search radius) and final centroided location. + properties: + init_guess_x: + description: x pixel coordinate of guess + type: number + init_guess_y: + description: y pixel coordinate of guess + type: number + init_guess_ra: + description: RA value of guess + type: number + init_guess_dec: + description: Dec value of guess + type: number + search_radius: + description: Radius in pixels for source search + type: number + cent_x: + description: x pixel coordinate of centroided source + type: number + cent_y: + description: y pixel coordinate of centroided source + type: number + cent_RA: + description: RA value of centroided source + type: number + cent_Dec: + description: Dec value of centroided source + type: number + type: object + description: Cutout image showing selected target centroid in the cutout image. + properties: + centroid_figure: + description: Location of centroid plot. + type: string + diff --git a/catch_analysis_tools/app/services/photometry.py b/catch_analysis_tools/app/services/photometry.py index 7ea5d7c..643aea2 100644 --- a/catch_analysis_tools/app/services/photometry.py +++ b/catch_analysis_tools/app/services/photometry.py @@ -1,350 +1,175 @@ -import numpy as np -from matplotlib import pyplot as plt -from astropy.io import fits -from photutils.segmentation import detect_sources, detect_threshold, make_2dgaussian_kernel, SourceFinder, SourceCatalog, make_2dgaussian_kernel -from astropy.stats import sigma_clipped_stats, SigmaClip -from photutils.background import SExtractorBackground as SourceExtractorBackground -from photutils.background import Background2D, MedianBackground -from photutils.utils import circular_footprint -from astropy.convolution import convolve -from astropy.coordinates import SkyCoord, ICRS +from catch_analysis_tools.photometry import get_image,get_pixel_WCS,get_WCS_pixel,subpixel_centroid,create_user_aperture,do_aperture_photometry,source_instr_mag,calibrated_mag +from catch_analysis_tools.background import calc_annulus_bkg from astropy.wcs import WCS -from photutils.aperture import aperture_photometry, CircularAnnulus, CircularAperture -from photutils.centroids import centroid_quadratic, centroid_sources, centroid_com, centroid_2dg -from astropy import units as u - -# here are functions for grabbing the data, doing background subtractions and manipulating source extractions -def get_image(url): - """Access a cutout via a call to a CATCH URL - - - Parameters - ---------- - url : string - CATCH-generated URL from a query. - - - - Returns - ------- - data : array_like - This is a 2D array containing the image data returned by the CATCH query - header : - FITS header class, from astropy.io.fits.Header - +import matplotlib +matplotlib.use('Agg') +from matplotlib import pyplot as plt +from astropy.visualization import ZScaleInterval +from astropy.visualization.mpl_normalize import ImageNormalize +import numpy as np +def centroid_location(filebase,target_ra,target_dec,search_radius): """ - - fits_hdu = fits.open(url) - data = fits_hdu[0].data - header = fits_hdu[0].header - return data, header - -def id_good_sources(data,bkg): - - """Uses a segmentation image to identify reliable sources in NON-BACKGROUND-SUBTRACTED image that can be snapped to. - - Coincidentally, computes baseline photometry that could be used as a quality comparison user results, - though this flux isn't always a good comparison as it often underestimates the source size - - - Parameters - ---------- - data : array_like - 2D image array to be background subtracted - - bkg : - background object returned from get_background() or global_subtraction() - - Returns - ------- - cat : - Astropy Table class, from SourceCatalog output giving source locations, fluxes - - - - """ - - source_threshold = bkg.background_median + 1.5 * bkg.background_rms - - - kernel = make_2dgaussian_kernel(3.0, size=5) # FWHM = 3.0 - convolved_data = convolve(data, kernel) - finder = SourceFinder(npixels=5, progress_bar=False) - segment_map = finder(convolved_data, source_threshold) - - - vmax = np.percentile(np.ndarray.flatten(data),99) - vmin = np.percentile(np.ndarray.flatten(data),1) - - # make a plot to show the background subtracted frame and the resulting segment map - #fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 12.5)) - #ax1.imshow(data, origin='lower', cmap='Greys_r', vmin=vmin,vmax=vmax) - #ax1.set_title('Original Data') - - #ax2.imshow(segment_map, origin='lower', cmap=segment_map.cmap, - # interpolation='nearest') - #ax2.set_title('Segmentation Image') - + Searches for source nearby to expected ephemeris location in image, assumes that astrometry solution has been rerun and that both the cutout .fits file and the redone .wcs file exist. - cat = SourceCatalog(data, segment_map, convolved_data=convolved_data) - return cat - -def create_user_aperture(position,size): - """Simple placeholder function for making user-selected circular apertures - - Parameters ---------- - Position : array_like - [x,y] location of aperture center + filebase : string + Base filename (without .fits or .wcs extension) taken from CATCH-generated query URL. - Size : Int - Radius of aperture, given in pixels + target_ra : float + Target Right Ascension ephemeris location, to be used as initial guess for the object. - Returns - ------- - aperture : - Photutils circular aperture object with the specified size, location parameters - + target_dec : float + Target Declination ephemeris location, to be used as initial guess for the object. + search_radius : float + Radius in pixels of search area (centered on (target_ra,target_dec) ) for centroiding - """ - - aperture = CircularAperture(position, r=size) - return aperture - -def subpixel_centroid(user_point,data,radius): - - """Takes in a user defined point and returns the location of the brightest pixel within radius pixels - - - Parameters - ---------- - user_point : array_like - [x,y] location of desired point, to be snapped from - - data : array_like - image to be searched for sources to be snapped to - - radius : Int - number of pixels within which objects can be snapped to from user_point Returns ------- - target_position: array_like - [x,y] location of the source that is closest to user_point found in data - - - """ + calibrated_mag : + array_like + + + figname: + string + Output plot showing the default aperture + annulus extraction onto the cutout image. + """ - footprint = circular_footprint(radius) - x, y = centroid_sources(data, user_point[0], user_point[1], footprint=footprint, - centroid_func=centroid_2dg) - target_position = np.array([x[0],y[0]]) - return target_position - -def do_aperture_photometry(data,source_aperture,bkg_median, bkg_var, bkg_aperture): - """ Takes in an image, a source aperture, and outputs from the calc_annulus_bkg function - - Returns the source flux (background subtracted, per-pixel background median) and the - uncertainty as defined at the quoted link - - method='center' means pixels are either in or out, no interpolation to a perfect circle - (in other words, areas will be in whole pixels) + tmp_wcs = WCS(filebase+'.wcs') + img, header = get_image(filebase+'.fits') - Parameters - ---------- - data : array_like - image data to be used for photometry - - source_aperture : - Photutils aperture object containing desired source + target_pix = get_WCS_pixel(tmp_wcs,target_ra,target_dec) + target_x = target_pix[0].item() + target_y = target_pix[1].item() - bkg_median : float - median value of pixel background, + cent_pix = subpixel_centroid([target_x,target_y],img,search_radius) + cent_loc = get_pixel_WCS(tmp_wcs,cent_pix[0],cent_pix[1]) - bkg_var : float - variance of pixel background, ideally from output of calc_annulus_background + search_results = { + "init_guess_x":target_x, + "init_guess_y":target_y, + "init_guess_ra":target_ra, + "init_guess_dec":target_dec, + "search_radius":search_radius, + "cent_x":cent_pix[0], + "cent_y":cent_pix[1], + "cent_ra":cent_loc.ra.deg, + "cent_dec":cent_loc.dec.deg + } + print(search_results) + interval = ZScaleInterval() + norm = ImageNormalize(img, interval=ZScaleInterval()) + + + plt.figure(figsize=(8,8)) + plt.imshow(img,norm=norm,cmap='gray_r') + plt.scatter(img.shape[0]/2,img.shape[1]/2,s=100,marker='x') + plt.scatter(target_x,target_y,s=100,marker='+') + plt.scatter(cent_pix[0],cent_pix[1],s=50,marker='.',c='yellow') + plt.xlim(target_x-20,target_x+20) + plt.ylim(target_y-20,target_y+20) - bkg_aperture : - Photutils aperture object containing background, ideally as annulus_aperture output from calc_annulus_background + + figname = filebase +'_centroid.png' + plt.savefig(figname) + plt.close() + results = { + "search_results": search_results, + "centroid_figure": figname + } - Returns - ------- - source_sum : float - background subtracted flux of the targeted source - - source_err : float - error on source flux + return results +def default_extraction(filebase,target_ra,target_dec,search_radius,aperture_size,an_in,an_out): """ - - aperture_mask = source_aperture.to_mask(method='center') - aperture_data = aperture_mask.multiply(data) - aperture_sum = np.nansum(aperture_data) - - background = bkg_median * source_aperture.area - source_sum = aperture_sum-background - + Searches for source nearby to expected ephemeris location in image, assumes that astrometry solution has been rerun and that both the cutout .fits file and the redone .wcs file exist. - # Using uncertainty as derived by https://wise2.ipac.caltech.edu/staff/fmasci/ApPhotUncert.pdf - # Setting the gain g=1, N_i = 1. Assumes data has already been converted to e- - ### TODO: FIND THE GAINS FOR EACH SURVEY - term1 = source_sum - term2 = (source_aperture.area + (np.pi/2) * (np.square(source_aperture.area)/bkg_aperture.area) )*bkg_var - source_err = np.sqrt(term1 + term2) - return source_sum, source_err - -def load_thumbnail(url): - """Access a cutout via a call to a CATCH URL, returning WCSobject - - Parameters ---------- - url : string - CATCH-generated URL from a query. + filebase : string + Base filename (without .fits or .wcs extension) taken from CATCH-generated query URL. - + target_ra : float + Target Right Ascension ephemeris location, to be used as initial guess for the object. - Returns - ------- - data : array_like - This is a 2D array containing the image data returned by the CATCH query - - header : - FITS header class, from astropy.io.fits.Header + target_dec : float + Target Declination ephemeris location, to be used as initial guess for the object. - img_WCS: - Astropy WCS object - - """ - fits_hdu = fits.open(url) - data = fits_hdu[0].data - header = fits_hdu[0].header - img_WCS = WCS(header) - return data, header, img_WCS + search_radius : float + Radius in pixels of search area (centered on (target_ra,target_dec) ) for centroiding -def get_pixel_WCS(img_WCS,pixel): - """Retrieve WCS location of a pixel given its (x,y) position + aperture_size : float + Radius (in pixels) for source flux extraction aperture - Parameters - ---------- - - img_WCS: - Astropy WCS object + an_in : float + Radius (in pixels) for inner edge of annulus for background subtraction, centered on target - pixel: array_like - [x,y] pixel location to get WCS location of + an_out : float + Radius (in pixels) for outer edge of annulus for background subtraction, centered on target Returns ------- - loc: - Astropy SkyCoord location of desired pixel + calibrated_mag : + array_like + + + figname: + string + Output plot showing the default aperture + annulus extraction onto the cutout image. """ - - loc = img_WCS.pixel_to_world(pixel[0],pixel[1]) - return loc -def get_WCS_pixel(img_WCS,ra_dec): - """Retrieve pixel location at a given (RA, Dec) sky coordinate position - Parameters - ---------- - - img_WCS: - Astropy WCS object + tmp_wcs = WCS(filebase+'.wcs') + img, header = get_image(filebase+'.fits') + targ_loc = get_WCS_pixel(tmp_wcs,target_ra,target_dec) - ra_dec: array_like - [Right Ascension, Declination] location to retrieve pixel location of + centroid_results = centroid_location(filebase,target_ra,target_dec,search_radius) + targ_cent = np.array([centroid_results["search_results"]["cent_x"],centroid_results["search_results"]["cent_y"]]) - Returns - ------- + aperture = create_user_aperture(targ_cent,aperture_size) - loc: array_like - Pixel location of specified (RA, Dec) - """ - - sky_loc = SkyCoord(ICRS(ra=ra_dec[0]*u.deg, dec=ra_dec[1]*u.deg)) - loc = img_WCS.world_to_pixel(sky_loc) - return loc - -def source_instr_mag(ap_flux,ap_fluxerr,exposure_time): - - """ Quick function to return instrumental magnitudes from a source flux - Does not force magnitude uncertainties to be symmetric - - To be used by calibrated_mag() function + interval = ZScaleInterval() + norm = ImageNormalize(img, interval=ZScaleInterval()) + bkg, bkg_var, annulus = calc_annulus_bkg(img,targ_cent,an_in,an_out) + + aperture_flux, aperture_fluxerr = do_aperture_photometry(img,aperture,bkg,bkg_var,annulus) + instr_mag = source_instr_mag(aperture_flux,aperture_fluxerr,1) + #cal_mag = calibrated_mag(instr_mag,header['zp'],header['zp_std']) # temporarily using the original Atlas header values - Parameters - ---------- + cal_mag_array = calibrated_mag(instr_mag,header['magzpt'],header['zprms']) - ap_flux: float - Flux (in counts) of source - - ap_fluxerr: float - Flux error (in counts) + # could put code to filter out frames where targ_loc and targ_cent vary by more than a couple pixels here + # (would mean star hit) + + plt.figure(figsize=(8,8)) + plt.imshow(img,norm=norm,cmap='gray_r') + aperture.plot(color='blue', lw=1.5, alpha=0.5) + annulus.plot(color='yellow',lw=1.5) + plt.scatter(img.shape[0]/2,img.shape[1]/2,s=100,marker='x') + plt.scatter(targ_loc[0],targ_loc[1],s=100,marker='+') + plt.scatter(targ_cent[0],targ_cent[1],s=50,marker='.',c='yellow') + plt.xlim(targ_loc[0]-20,targ_loc[0]+20) + plt.ylim(targ_loc[1]-20,targ_loc[1]+20) - exposure_time: float - integration time of the frame (s) - - Returns - ------- - - instr_mag_array: array_like - array containing source instrumental magnitude and uncertainties, - as [Magnitude, Upper Magnitude Uncertainty, Lower Magnitude Uncertainty] - """ + - instr_mag = -2.5*np.log10(ap_flux/exposure_time) - instr_mag_hi = -2.5*np.log10((ap_flux-ap_fluxerr)/exposure_time) - instr_mag_lo = -2.5*np.log10((ap_flux+ap_fluxerr)/exposure_time) - - instr_mag_hi_uncert = instr_mag_hi - instr_mag - instr_mag_lo_uncert = instr_mag_lo - instr_mag - - inst_mag_array = { - "instr_mag": float(instr_mag), - "instr_mag_hi_uncert": float(instr_mag_hi_uncert), - "instr_mag_lo_uncert": float(instr_mag_lo_uncert) + figname = filebase +'_default.png' + plt.savefig(figname) + plt.close() + extraction_results = { + "cal_mag_array": cal_mag_array, + "aperture_figure": figname } - return inst_mag_array - -def calibrated_mag(instr_mag_array,zero_point,zero_point_uncert): - """ Takes in the array from source_instr_mag, converts to derived magnitude, - propagating uncertainties from both - - - Parameters - ---------- - instr_mag_array: array_like - From source_instr_mag() output: array containing source instrumental magnitude and uncertainties, - as [Magnitude, Upper Magnitude Uncertainty, Lower Magnitude Uncertainty] - - zero_point: float - zero point magnitude of image (ideally taken from metadata in header given by astrometry solution) + results = centroid_results | extraction_results - zero_point_uncert: float - zero point uncertainty (mags) of image (ideally taken from metadata in header given by astrometry solution) - - Returns - ------- - - calib_mag_array: array_like - array containing source CALIBRATED magnitude and uncertainties, - as [Magnitude, Upper Magnitude Uncertainty, Lower Magnitude Uncertainty] - """ - - calib_mag = zero_point+instr_mag_array[0] - calib_mag_hi = np.sqrt(np.square(zero_point_uncert) + np.square(instr_mag_array[1])) - calib_mag_lo = np.sqrt(np.square(zero_point_uncert) + np.square(instr_mag_array[2])) - - calib_mag_array = np.array([calib_mag,calib_mag_hi,calib_mag_lo]) - return calib_mag_array + return results diff --git a/catch_analysis_tools/app/services/subtract_median_background.py b/catch_analysis_tools/app/services/subtract_median_background.py new file mode 100644 index 0000000..d5b9d63 --- /dev/null +++ b/catch_analysis_tools/app/services/subtract_median_background.py @@ -0,0 +1,52 @@ +import os +import requests +from astropy.io import fits +from catch_analysis_tools.background import global_subtraction +from catch_analysis_tools.photometry import get_image + +def download_file(url): + response = requests.get(url) + if "content-disposition" in response.headers: + content_disposition = response.headers["content-disposition"] + filename = content_disposition.split("filename=")[1] + else: + filename = url.split("/")[-1] + cleaned_filename = filename.replace(" ", "") + cleaned_filename = cleaned_filename.replace("\"", "") + with open(cleaned_filename, mode="wb") as file: + file.write(response.content) + print(cleaned_filename) + print(f"Downloaded file {filename} as {cleaned_filename}") + + return os.path.splitext(cleaned_filename)[0] + +def perform_median_subtraction(url): + """Takes a cutout URL from CATCH, opens the file, performs a median background subtraction + after masking sources. Returns background subtracted image. + + Parameters: + ---------- + url: str + URL to CATCH cutout image + + Returns: + ------- + subt_fname: str + Filename of background subtracted image saved locally + """ + + # Download file and get file base name + file_base = download_file(url) + # Get image data + data, header = get_image(file_base+'.fits') + + # Perform global background subtraction + data_sub, bkg = global_subtraction(data) + header['BKG_MED'] = bkg.background_median + + # Save background subtracted image + subtract_fname = file_base+'_subtracted.fits' + + fits.writeto(subtract_fname, data_sub, header, overwrite=True) + + return subtract_fname diff --git a/catch_analysis_tools/photometry.py b/catch_analysis_tools/photometry.py index 54a9309..1d67649 100644 --- a/catch_analysis_tools/photometry.py +++ b/catch_analysis_tools/photometry.py @@ -10,7 +10,7 @@ from astropy.coordinates import SkyCoord, ICRS from astropy.wcs import WCS from photutils.aperture import aperture_photometry, CircularAnnulus, CircularAperture -from photutils.centroids import centroid_quadratic, centroid_sources, centroid_com +from photutils.centroids import centroid_quadratic, centroid_sources from astropy import units as u # here are functions for grabbing the data, doing background subtractions and manipulating source extractions @@ -141,7 +141,7 @@ def subpixel_centroid(user_point,data,radius): footprint = circular_footprint(radius) x, y = centroid_sources(data, user_point[0], user_point[1], footprint=footprint, - centroid_func=centroid_com) + centroid_func=centroid_quadratic) target_position = np.array([x[0],y[0]]) return target_position @@ -229,7 +229,7 @@ def load_thumbnail(url): img_WCS = WCS(header) return data, header, img_WCS -def get_pixel_WCS(img_WCS,pixel): +def get_pixel_WCS(img_WCS,ra,dec): """Retrieve WCS location of a pixel given its (x,y) position Parameters @@ -248,10 +248,11 @@ def get_pixel_WCS(img_WCS,pixel): Astropy SkyCoord location of desired pixel """ - loc = img_WCS.pixel_to_world(pixel[0],pixel[1]) + loc = img_WCS.pixel_to_world(ra,dec) + print(loc.ra.deg) return loc -def get_WCS_pixel(img_WCS,ra_dec): +def get_WCS_pixel(img_WCS,ra,dec): """Retrieve pixel location at a given (RA, Dec) sky coordinate position Parameters @@ -270,7 +271,7 @@ def get_WCS_pixel(img_WCS,ra_dec): Pixel location of specified (RA, Dec) """ - sky_loc = SkyCoord(ICRS(ra=ra_dec[0]*u.deg, dec=ra_dec[1]*u.deg)) + sky_loc = SkyCoord(ICRS(ra=ra*u.deg, dec=dec*u.deg)) loc = img_WCS.world_to_pixel(sky_loc) return loc @@ -341,7 +342,10 @@ def calibrated_mag(instr_mag_array,zero_point,zero_point_uncert): calib_mag = zero_point+instr_mag_array[0] calib_mag_hi = np.sqrt(np.square(zero_point_uncert) + np.square(instr_mag_array[1])) calib_mag_lo = np.sqrt(np.square(zero_point_uncert) + np.square(instr_mag_array[2])) - - calib_mag_array = np.array([calib_mag,calib_mag_hi,calib_mag_lo]) + calib_mag_array = { + "cal_mag": calib_mag, + "cal_mag_hi_uncert": calib_mag_hi, + "cal_mag_lo_uncert": calib_mag_lo + } return calib_mag_array diff --git a/pyproject.toml b/pyproject.toml index e5fb8fb..6051167 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ authors = [ license = "BSD-3-Clause" dependencies = [ "numpy>=2.0", - "astropy>=6.1", + "astropy>=7.1.2", "photutils", "scipy", "matplotlib", @@ -51,4 +51,4 @@ dev = ["build"] addopts = "--cov=catch_analysis_tools --cov-report=term-missing" markers = [ "integration: tests that run solve-field and require astrometry.net index files" -] \ No newline at end of file +]