LyotSeparateStep

This step should only be used on MIRI data!

This step splits up the MIRI image into the Lyot coronagraph and the main science chip. This means we can match the different backgrounds in each in a consistent way, and include the coronagraph in the final images.

N.B. only use one of either this step or LyotMaskStep.

API

class pjpipe.LyotSeparateStep(in_dir, out_dir, step_ext, procs, miri_ext='mirimage', overwrite=False)[source]

Separate each MIRI file out into main science chip and lyot coronagraph

Parameters:

  • in_dir – Input directory

  • out_dir – Output directory

  • step_ext – .fits extension for the files going into the step

  • procs – Number of processes to run in parallel

  • miri_ext – MIRI filename extension. Defaults to “mirimage”

  • overwrite – Whether to overwrite or not. Defaults to False

do_step()[source]

Run lyot separation

parallel_lyot_separate(file, mask_value=513)[source]

Parallelise lyot separation

Parameters:

  • file – File to separate lyot in

  • mask_value – DQ bit value for masked values. Defaults to 513 (DO_NOT_USE+NON_SCIENCE)

run_step(files, procs=1)[source]

Wrap paralellism around the lyot separation

Parameters:

  • files – List of files to separate lyot in

  • procs – Number of parallel processes to run. Defaults to 1