This guide is a rough draft explanation of how to reduce DIS data from start to finish with pyDIS. Note, this entire process is reproduced in the autoreduce helper function. In this simple example we’ll assume you have all the needed calibration files in the working directory, that you are on a linux/mac for a couple shell commands, and that there is only 1 science frame to analyze. We will only do the RED chip in this case. The procedure is identical for the BLUE chip, but due to different Signal/Noise or color of the source some parameters may need tweaking.

Because the code has been evolving, this guide has been moved. In a future version of this page I will have a complete guide including sample data and images…

Look at the pyDIS GitHub Wiki for the latest version of this guide!