Overscan & bias correction with the eotest package Bela Abolfathi (UC Irvine) Sensor Characterization, Analysis and Simulation LSST2018 Project & Community Workshop � 1
eotest • Set of electro-optical acquisition and analysis scripts to test the performance of the Raft Tower Modules (RTMs) • Testing performed at the Test Stand 8 (TS8) workstation in Camera Cleanroom Facility at SLAC current methods for modeling the overscan in eotest.image_utils image_utils.py https://github.com/lsst-camera-dh/eotest � 2
RTM 005 offset correction Run: 5715D Sensor: S00 E2V-CCD250-220-Dev_sflat_500_flat_H026_20180124170147.fits image overscan model image - overscan model image - overscan model - median bias mean of the overscan region polynomial fit (deg 1) � 3
how well do these methods characterize the offset? E2V-CCD250-154-Dev_sflat_bias_000_5715D_20180124164816.fits RTM 005 Run: 5715D Sensor: S02 E2V-CCD250-220-Dev_sflat_bias_000_5715D_20180124164816.fits RTM 005 Run: 5715D Sensor: S00 � 4
RTM 005 new offset calculation Run: 5715D Sensor: S00 E2V-CCD250-220-Dev_sflat_500_flat_H026_20180124170147.fits image overscan model image - overscan model image - overscan model - median bias calculate bias level as the mean per row � 5
RTM 005 compare w/ processCCD Run: 5715D Sensor: S00 E2V-CCD250-220-Dev_sflat_500_flat_H026_20180124170147.fits isr.overscanCorrection (ampMaskedImage, overscanImage, fitType= ‘POLY' ) isr.biasCorrection (maskedImage, biasMaskedImage) isrTask.py eotest.image_utils.bias_row() Status: - Submitted PR - Passing all tests and should be ready to merge with master � 6
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