Reduction Reference

Below is a list of all functions that are part of the reduction module, grouped by filename.

• preproc.py - preprocessing functions.

  • choose_calib - calibration images visualization and selection.
  • choose_science - display science images for verification by user.
  • mkmaster - make master calibration frames (bias, dark, flat).

• autoproc.py - automated pipeline script.

  • autoproc - main function.

• autoproc_steps.py - reduction processing steps.

  • autopipedefaults - set commonly used variables to use throughout each step.
  • autopipeprepare - update image headers and performs bias/dark subtraction.
  • autopipeimflatten - flatten data using flat with matching filter name.
  • autopipemakesky - combine sky flats based on filter type (sigma clipping for sources).
  • autopipeskysub - subtract both master sky and median.
  • autopipeskysubmed - subtract median, does NOT use master sky.
  • autopipecrcleanim - remove cosmic rays.
  • autopipeastrometry - calculate astrometry of image files to fix WCS coordinates.
  • autopipestack - create flux scale and stack images with SWarp.

• autoproc_depend.py - reduction processing dependencies.

  • pipeprepare - Normalize header keywords in FITS files.
  • flatpipeproc - Check if flat is same size as data, then divide for correct filter.
  • skypipecombine - Create sigma clipped median sky flat.
  • skypipeproc - Subtract sky flat from data, then subtract median of that from remaining data.
  • cosmiczap - Remove cosmic rays using Laplacian cosmic ray identification written in cosmics.py.
  • astrometry - Run sextractor and scamp to refine astrometric solution.
  • findsexobj - Find sextractor objects with optional inputs. Estimates seeing from stars found.
  • calc_zpt - Find zeropoint using robust scatter.
  • robust_scat - Calculate robust scatter and set the weight of those above this limit to 0.
  • medclip - Median iterative sigma-clipping.
  • medclip2d - Median iterative sigma-clipping over 2d array.
  • identify_matches - Use a kd-tree (3d) to match two lists of stars, using full spherical coordinate distances.