Mar 12 – 14, 2024
SLAC
America/Los_Angeles timezone

Tree-rings in LSST Camera

Mar 12, 2024, 2:30 PM
1h 30m
48/1-112C/D - Redwood C/D (SLAC)

48/1-112C/D - Redwood C/D

SLAC

2575 Sand Hill Rd Bldg. 048 Menlo Park, CA 94025
45
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

Zhuoqi Zhang (Stanford University)

Description

In this work, we studied the tree-rings in the LSST camera. Specifically, we compared the tree-rings observed in flat images under the normal operating voltage back bias and under a 0-volt back bias. We showed that tree-rings in the 0-volt back bias flat images have higher signal-to-noise ratios (SNR) and are more easily detectable, which therefore can be used to better infer tree-ring centers. However, we demonstrated that there is a large scatter in the relationship between the tree-ring amplitudes in the normal operating voltage and the 0-volt back bias images. This scatter presents a difficulty in estimating the tree-ring profiles using the higher SNR measurements from the latter images, but it may be resolved by further studies on the systematics and noises in the flat images. Meanwhile, we estimated the characteristic tree-ring amplitudes under normal operating voltage in the LSST camera to be $\lesssim$ 0.03%. We also observed wavelength-dependence of the tree-ring amplitudes, particularly in the UV-band of the E2V sensors.

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

Tree-ring; LSST Camera

contribution subject matter CCD sensors

Author

Zhuoqi Zhang (Stanford University)

Presentation materials