INSTRUCTIONS FOR MAKING COLOR IMAGE 1. Correct the badpix with a mask. Note that fixpix looks at the stupid header keywords: LTV1 and LTV2. These should be removed from the headers of the images and the masks if you are going to run fixpix. hedit obj*.imh ltv* del+ Here is the badpix mask for 0.9m (Tek2K_3 ): 14 14 507 666 24 24 464 692 24 25 492 520 36 36 451 680 36 37 480 520 51 51 520 666 64 64 575 672 70 70 650 670 307 307 440 1024 937 937 180 270 2. Get at least 2 images, preferably >3 in BVI. Cut out the area near the galaxy, say the 800 pix near the galaxy: yalocen r*.fits filecalc junk.dat "$1-400;$1+399;$2-400;$2+399" form="[%d:%d,%d:%d] " 3. Copy all files to *.fits cpfits s*.imh del+ 4. Run $SNSEARCH/imregister_new.pl r001.fits r002.fits -out s002.fits -force to get aligned images. You may have to set the threshold differently, like thresh=20 or 40 For some reason, one of the images did not work. So I measured a star r479 707.80 302.42 <== reference image obj482 709.18 301.14 imshift obj482.imh r482 xs=-1.38 ys=1.28 5. Bring the skies to zero using "getsky.cl". This first outputs temp.cl which brings the sky to 0. This also brings the interpolated part of the image to a very negative value. So you also have to run "temp1.cl" to correct for the interpolation. 6. Combine the image If you have lots of images, just scale on the galaxy. imdel temp imcomb c*.fits temp comb=ave reject=avsig scale=mean \\ stat=[385:415,385:415] nhig=1 nlo=1 hth=20000 displ temp 1 or if you have two images, get rid of the cr's. You can check the noisemodel using stsdas.hst.wfpc program noisem. imdel test1.imh,test1.pl imcomb @inb temp comb=av reject=crr gai=2.1 rd=4.5 sn=0.2 pl=temp gro=1 displ temp.imh 1 displ test.pl 2 7. Finally run t1.cl: del test.rgb rgbsun regi regv regb test.rgb \\ rz1=-5. \\ gz1=-5. \\ bz1=-5. \\ rz2=200. \\ gz2=110. \\ bz2=70. log- !xv test.rgb Output the file to tif, or whatever. The log plot looked nice, but there was too much noise that appeared as color speckels. The file then can be edited in PhotoShop to make it look nicer.