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Proceedings Paper

A new method of superbias construction for NIRCam
Author(s): Bryan Hilbert; Armin Rest; Karl Misselt; Massimo Robberto
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Paper Abstract

We explore a new method to generate superbias files for the NIRCam detectors. Using data from Cryo-Vacuum 2 (CV2) testing, we subtract 1/f noise from NIRCam integrations before averaging the data to produce superbias maps. Our analysis shows that for a given dataset, using this method we are able to produce superbias images with significantly lower noise levels than those produced using the more traditional approach to superbias generation. We also find that we can produce a superbias which minimizes the noise in a superbias-subtracted file by using only the first 10 readouts from each of 15-20 dark current integrations. Our testing reveals that this method is successful for data from both the shortwave and longwave detectors on NIRCam.

Paper Details

Date Published: 29 July 2016
PDF: 12 pages
Proc. SPIE 9904, Space Telescopes and Instrumentation 2016: Optical, Infrared, and Millimeter Wave, 99044B (29 July 2016); doi: 10.1117/12.2233553
Show Author Affiliations
Bryan Hilbert, Space Telescope Science Institute (United States)
Armin Rest, Space Telescope Science Institute (United States)
Karl Misselt, The Univ. of Arizona (United States)
Massimo Robberto, Space Telescope Science Institute (United States)


Published in SPIE Proceedings Vol. 9904:
Space Telescopes and Instrumentation 2016: Optical, Infrared, and Millimeter Wave
Howard A. MacEwen; Giovanni G. Fazio; Makenzie Lystrup; Natalie Batalha; Nicholas Siegler; Edward C. Tong, Editor(s)

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