English

High fidelity point-spread function retrieval in the presence of electrostatic, hysteretic pixel response

Instrumentation and Methods for Astrophysics 2016-12-21 v2

Abstract

We employ electrostatic conversion drift calculations to match CCD pixel signal covariances observed in flat field exposures acquired using candidate sensor devices for the LSST Camera. We thus constrain pixel geometry distortions present at the end of integration, based on signal images recorded. We use available data from several operational voltage parameter settings to validate our understanding. Our primary goal is to optimize flux point-spread function (FPSF) estimation quantitatively, and thereby minimize sensor-induced errors which may limit performance in precision astronomy applications. We consider alternative compensation scenarios that will take maximum advantage of our understanding of this underlying mechanism in data processing pipelines currently under development. To quantitatively capture the pixel response in high-contrast/high dynamic range operational extrema, we propose herein some straightforward laboratory tests that involve altering the time order of source illumination on sensors, within individual test exposures. Hence the word {\it hysteretic} in the title of this paper.

Keywords

Cite

@article{arxiv.1608.01964,
  title  = {High fidelity point-spread function retrieval in the presence of electrostatic, hysteretic pixel response},
  author = {Andrew Rasmussen and Augustin Guyonnet and Craig Lage and Pierre Antilogus and Pierre Astier and Peter Doherty and Kirk Gilmore and Ivan Kotov and Robert Lupton and Andrei Nomerotski and Paul O'Connor and Christopher Stubbs and Anthony Tyson and Christopher Walter},
  journal= {arXiv preprint arXiv:1608.01964},
  year   = {2016}
}

Comments

19 pages, 8 figures, 4 appendices. Presented at SPIE Astronomical Telescopes + Instrumentation (paper 9915-45) 26 June-1 July 2016, Edinburgh, Scotland. Fixed an error in right hand expression of Eq.5 and resubmitted to arXiv 160912