A framework for modeling the detailed optical response of thick, multiple segment, large format sensors for precision astronomy applications

Andrew Rasmussen, Pierre Antilogus, Pierre Astier, Chuck Claver, Peter Doherty, Gregory Dubois-Felsmann, Kirk Gilmore, Steven Kahn, Ivan Kotov, Robert Lupton, Paul O'Connor, Andrei Nomerotski, Steve Ritz, Christopher Stubbs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Near-future astronomical survey experiments, such as LSST, possess system requirements of unprecedented fidelity that span photometry, astrometry and shape transfer. Some of these requirements flow directly to the array of science imaging sensors at the focal plane. Availability of high quality characterization data acquired in the course of our sensor development program has given us an opportunity to develop and test a framework for simulation and modeling that is based on a limited set of physical and geometric effects. In this paper we describe those models, provide quantitative comparisons between data and modeled response, and extrapolate the response model to predict imaging array response to astronomical exposure. The emergent picture departs from the notion of a fixed, rectilinear grid that maps photo-conversions to the potential well of the channel. In place of that, we have a situation where structures from device fabrication, local silicon bulk resistivity variations and photo-converted carrier patterns still accumulating at the channel, together influence and distort positions within the photosensitive volume that map to pixel boundaries. Strategies for efficient extraction of modeling parameters from routinely acquired characterization data are described. Methods for high fidelity illumination/image distribution parameter retrieval, in the presence of such distortions, are also discussed.

Original languageEnglish (US)
Title of host publicationModeling, Systems Engineering, and Project Management for Astronomy VI
PublisherSPIE
ISBN (Print)9780819496188
DOIs
StatePublished - 2014
EventModeling, Systems Engineering, and Project Management for Astronomy VI - Montreal, QC, Canada
Duration: Jun 22 2014Jun 24 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9150
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceModeling, Systems Engineering, and Project Management for Astronomy VI
Country/TerritoryCanada
CityMontreal, QC
Period6/22/146/24/14

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • CCDs
  • charge collection
  • drift fields
  • flat field distortion
  • imaging nonlinearities
  • pixel size variation

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