Stack the images listed in an input file (usually named list.BIAS) to create images and files for performing bias correction of acm images.

 

% process_acm_images --help 

Usage: process_acm_bias list.BIAS 5 20180115 Y 
arg1 - list of input (bias) images (can be fullpath) 
arg2 - number of images in each sub-stack (NSIZE)  - can be "def" or "default"  
arg3 - identification string (usually UT date of acm night, will use Date file if present) 
arg4 - run in a verbose/debug mode (Y/N)  

There are 3 basic image files made for a base image name = 20170906T020753.0_acm_sci  and date = 20170906
# Model zero-level (fbp) bias image (mean bias removed)   = 20170906T020753.0_acm_sci_FBP_20170906.fits
# Name of stacked bias image (mean bias not removed)      = 20170906T020753.0_acm_sci_BIAS_20170906.fits
# Stacked bias with FBP corrected (mean bias not removed) = 20170906T020753.0_acm_sci_FBPcorr_20170906.fits  

The code also makes the fbp.parlab,table file             = mean bias subtracte fixed bias pattern model.

I have prepared a more detailed description of the acm bias correction files and how they are built and used .