Use of sensor characterization data to tune electrostatic model parameters for LSST sensors

TL;DR

This paper presents a refined electrostatic model for CCD sensors used in astronomy, utilizing sensor characterization data to improve predictions of pixel boundary perturbations and enable precise analysis of astronomical images.

Contribution

It introduces a finite summation electrostatic model with Greens functions for CCD sensors, enhancing the ability to analyze and correct sensor-induced distortions in astronomical data.

Findings

Enhanced predictions of pixel boundary perturbations.

Development of Greens functions for sensor corrections.

Application to improve astrometric and photometric accuracy.

Abstract

We build on previous efforts to model CCD sensors, during illumination and collection of conversions. We use a finite summation of simple, electrostatic field models. The upgraded functionality of our framework provides specific predictions for perturbations in pixel boundary enclosures (e.g., at the backside window) and the bookkeeping capability to stack those perturbations so that they may be utilized as Greens functions -- portable calculation results that may be generically applied to a range of precision astronomy related problems that naturally including astrometric, photometric and shape transfer issues. We approach the topic of using ancillary pixel data, derived from the Greens function and the registered image, to analyze sky data and constrain object parameters of astronomical targets.