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WFIRST coronagraph detector trap modeling results and improvements

Effinger, Robert; Nemati, Bijan; Rizzo, Maxime; Morrissey, Patrick; Harding, Leon; Bottom, Michael; Pontrelli, Donald; Demers, Richard T.; Bush, Nathan; Hall, David; Clarke, Andrew and Holland, Andrew (2018). WFIRST coronagraph detector trap modeling results and improvements. In: High Energy, Optical, and Infrared Detectors for Astronomy VIII, Proceedings, p. 44.

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The WFIRST coronagraph is being designed to detect and characterize mature exoplanets through the starlight reflected from their surfaces and atmospheres. The light incident on the detector from these distant exoplanets is estimated to be on the order of a few photons per pixel per hour. To measure such small signals, the project has baselined the CCD201 detector made by e2v, a low-noise and high-efficiency electron-multiplying charge-coupled device (EMCCD), and has instituted a rigorous test and modeling program to characterize the device prior to flight. An important consideration is detector performance degradation over the proposed mission lifetime due to radiation exposure in space. To quantify this estimated loss in performance, the project has built a detector trap model that takes into account detailed trap interactions at the sub-pixel level, including stochastic trap capture and release, and the deferment of charge into subsequent pixels during parallel and serial clocking of the pseudo-two-phase CCD201 device. This paper describes recent detector trap model improvements and modeling results.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Extra Information: © 2017 Society of Photo Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, or modification of the contents of the publication are prohibited.
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Electronic Imaging (CEI)
Item ID: 58189
Depositing User: ORO Import
Date Deposited: 06 Dec 2018 12:46
Last Modified: 02 May 2019 21:11
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