MGIMFIT2D Þ IRAF Parameters (same as C2GIMFIT2D !) : in_list = "" List of input image(s) out_list = "" List of output image(s) sym_list = "" List of symmetrized image(s) res_list = "" List of residual image(s) msk_list = "" List of pixel mask image(s) sig_list = "" List of sigma image(s) logfile = "" Name of log file mdparfile = "" Name of parameter value file initparam = yes Determine parameters from image moments dosym = no Symmetrize input image ? dobkg = yes Recompute background parameters ? imscale = Image scale (arcsecond/pixel) psftype = "" PSF type psf_list = "" List of tinytim/user PSF image(s) c_abs = 0. Disk internal absorption coefficient (0-1) seeing = Seeing FWHM (arcseconds) bkgsig = Background sigma (ADU) nsamp = Number of parameter space samples ccdgain = CCD Gain (electrons/DU) metseed = Metropolis seed osamp = 5 Core oversampling factor (mode = "q") Procedure : (1) Run SExtractor on each pre-dither science image to produce a segmentation image and a .gfxt file for each image. Segmentation image should have same name as science image with "_m" appended to it If sigma image is used, it should have same name with "_sg" (2) Generate TinyTim PSF for each object on each pre-dither image Rename PSFs according to gx*y*_p.fits scheme
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