
Proceedings Paper
A framework for modeling the detailed optical response of thick, multiple segment, large format sensors for precision astronomy applicationsFormat | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 4 August 2014
PDF: 13 pages
Proc. SPIE 9150, Modeling, Systems Engineering, and Project Management for Astronomy VI, 915017 (4 August 2014); doi: 10.1117/12.2057411
Published in SPIE Proceedings Vol. 9150:
Modeling, Systems Engineering, and Project Management for Astronomy VI
George Z. Angeli; Philippe Dierickx, Editor(s)
PDF: 13 pages
Proc. SPIE 9150, Modeling, Systems Engineering, and Project Management for Astronomy VI, 915017 (4 August 2014); doi: 10.1117/12.2057411
Show Author Affiliations
Andrew Rasmussen, SLAC National Accelerator Lab. (United States)
Pierre Antilogus, LPNHE/IN2P3, CNRS, Univ. Pierre et Marie Curie (France)
Pierre Astier, LPNHE/IN2P3, CNRS, Univ. Pierre et Marie Curie (France)
Chuck Claver, National Optical Astronomy Observatory (United States)
Peter Doherty, Harvard Univ. (United States)
Gregory Dubois-Felsmann, SLAC National Accelerator Lab. (United States)
Kirk Gilmore, SLAC National Accelerator Lab. (United States)
Pierre Antilogus, LPNHE/IN2P3, CNRS, Univ. Pierre et Marie Curie (France)
Pierre Astier, LPNHE/IN2P3, CNRS, Univ. Pierre et Marie Curie (France)
Chuck Claver, National Optical Astronomy Observatory (United States)
Peter Doherty, Harvard Univ. (United States)
Gregory Dubois-Felsmann, SLAC National Accelerator Lab. (United States)
Kirk Gilmore, SLAC National Accelerator Lab. (United States)
Steven Kahn, SLAC National Accelerator Lab. (United States)
Ivan Kotov, Brookhaven National Lab. (United States)
Robert Lupton, Princeton Univ. (United States)
Paul O'Connor, Brookhaven National Lab. (United States)
Andrei Nomerotski, Brookhaven National Lab. (United States)
Steve Ritz, Univ. of California, Santa Cruz (United States)
Christopher Stubbs, Harvard Univ. (United States)
Ivan Kotov, Brookhaven National Lab. (United States)
Robert Lupton, Princeton Univ. (United States)
Paul O'Connor, Brookhaven National Lab. (United States)
Andrei Nomerotski, Brookhaven National Lab. (United States)
Steve Ritz, Univ. of California, Santa Cruz (United States)
Christopher Stubbs, Harvard Univ. (United States)
Published in SPIE Proceedings Vol. 9150:
Modeling, Systems Engineering, and Project Management for Astronomy VI
George Z. Angeli; Philippe Dierickx, Editor(s)
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