Awareness of the signal anomalies in the overscan regions of LSST images is an integral part of obtaining precise signal baselines. This is the code for a primary assessment of overscan anomalies that appear in flat images with long exposure times.
https://confluence.slac.stanford.edu/pages/viewpage.action?pageId=316978922
Finding, diagnosing, and understanding incongruous patterns is critical for accurate overscan-correction in future LSST images. This code is used for an assessment of overscan anomalies that appear in flat images with long exposure times.
Additionally, this github folder is Code Backup for: errorbars for pixel number vs ADU count; histograms pertaining to pixel value in overscan; heat-maps that describe the ADU counts for an entire sensor
Awareness of the signal anomalies in the overscan regions of LSST images is an integral part of obtaining precise signal baselines. This is the code for a primary assessment of overscan anomalies that appear in flat images with long exposure times.
https://confluence.slac.stanford.edu/pages/viewpage.action?pageId=316978922