Overview:
o All data have been through detailed QA during preliminary data processing.
o Only data known to meet requirement for level-1 specs are being run, so emphasis is on testing for changes relative to preliminary processing.
o Operational efficiency is essential. QA cannot be a limiting element of the data processing system.
The basis of our quality reviews is to:
(1) determine the extent of score/diagnostics changes when compared to results of earlier processing.
(2) perform checks on functionalities new to the final processing pipeline.
(3) add new science diagnostics to check validity of results against an external reference
Despite the extent of data checking performed during final processing, the quality assurance system has been built for speed and efficiency. Most checks are automated so that potential problems are flagged for further investigation by the reviewer. Diagnostics are, where possible, also shown as plots for easy and quick interpretation.
o Changes in photometric zero-point.
o Changes in sensitivity scoring.
o Changes in number of sources detected.
o Changes in overall quality scores.
o Distortion corrections.
o Were high-numbered asteroids found at their predicted positions?
o Are the locations of sources on color-mag and color-color plots (high latitude and low latitude) reasonable?
o Do the colors of saturated Read-1 sources fall in reasonable locations on color-color diagrams?
o Do plots of the photometric uncertainty as function of magnitude meet expectations?
o Are there any biases in the difference between PSF and aperture photometry as a function of magnitude or cross-scan position?
o Do plots of average color vs. cross-scan position show any biases?