Image Sensors for Precision Astronomy (ISPA 2024)

Bias Stability and Defect Analysis in LSSTCam

Mar 12, 2024, 2:30 PM

1h 30m

48/1-112C/D - Redwood C/D (SLAC)

Poster presentation (90 second oral summary, 90 minute poster session & free presentation times over 3x 40m coffee breaks) Sensor and Systematics Characterization Poster Session

Speaker

Mr Sean MacBride (University of Michigan - Ann Arbor)

Description

The Vera C. Rubin Observatory’s LSST Camera (LSSTCam) uses an instrument signature removal (ISR) algorithm to generate defect masks for its CCDs. We compare the defect mask generated by ISR to raw bias images from test runs 6 (22/06/2023) and 6b (16/11/2023), and verify the ISR defect algorithm performance. We find some differences in total number counts in the mask, with a detailed assessment underway. We show the bias frames are affected by dust accumulation, differential amplifier response, and detector-wide gradients. This is the first attempt to validate the ISR masking algorithm using camera data from multiple runs. This framework can be used for verification of the masking algorithm for other calibration frames, as well as time-dependent behavior of the detectors during testing and operation of LSSTCam.

Keywords for your contribution subject matter (this will assist SOC in accurately characterizing your contribution)

LSSTCam, Systematics, Defect Stability

Presentation materials

OnePager.pdf

PosterPresentation.pdf