ImageHealth: Quality Assurance for Large FITS Images

[kwkuehn]

ImageHealth: Quality Assurance for Large FITS Images

Abstract: ImageHealth (IH) is a c program that makes use of standard CFITSIO routines to examine, in an automated fashion, .FITS images with any number of extensions, find objects within those images, and determine basic parameters of those images (stellar flux, background counts, FWHM, and ellipticity, along with sky background counts) in order to provide a snapshot of the quality of those images. A variety of python wrappers have also been written to test large numbers of such images and compare the results of ImageHealth to other image analysis programs, such as SourceExtractor. Additional IH-related tools will be made available in the future.

Efforts are now focused on an implementation of IH specifically for the Dark Energy Camera; we do not envision providing support for the instrument-independent version of the code offered here though comments, questions, and feedback are welcome.

Credit: Kyler Kuehn, Ryan Hupe

Site: http://gate.hep.anl.gov/kkuehn/imagehealth.c
http://lanl.arxiv.org/abs/1204.0066

ID: ascl:1206.014

[kwkuehn]

Supplemental code for comparison of IH output with SourceExtractor is now available as well:
http://gate.hep.anl.gov/kkuehn/data_compare.py

[kwkuehn]

And a sample output file from this comparison is also available:
http://gate.hep.anl.gov/kkuehn/output.decam.1.dat