The routine fits_review was designed to operate on a variety of image types.I used it here to evaluate images taken with the HET acquisition camera (acm). Later, dueto numerous acm-specific problems, I developed a set of routines that are tailored to efficient acm processing.
Below I demonstarate the use of fits_review in getting a quick survey of the acm images taken during a night of HET observing.
# The raw images reside here: /home/sco/HET_work/acm_nights/20171231/ # I take this first pass at the data in: /home/sco/HET_reds/20171231/red0 # Build the file listing all images ls -1 /home/sco/HET_work/acm_nights/20171231/acm/201*.fits > list.all . This is a list of 544 image (a lot) # I run fits_review to get a basic file summarizing the images % fits_review list.all N To do 544 images in this step took about 4 min # I make a table file verion of the data in fits_review.pass0 fits_review_table N The important files are: fits_review.params = parameter names fits_review.parlab = parameter names with "nice" labels fits_review.table = the table file I make useful plots: xyplotter_auto fits_review hours signal 1 xyplotter_auto fits_review imgnum signal 1A more detailed description of this process, and plots of the results, are given in this discussion of the acm bias and dark images from 20171231. Using the methods described above I analyzed several nights and built the plots you see below that demonstarte the (variable) properties of the bias and dark frame levels for typical acm images (see the plots below)