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Nonlinearity Corrections and Statistical Uncertainties Associated with Near‐Infrared Arrays
Author(s) -
William D. Vacca,
Michael C. Cushing,
John Rayner
Publication year - 2004
Publication title -
publications of the astronomical society of the pacific
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.294
H-Index - 172
eISSN - 1538-3873
pISSN - 0004-6280
DOI - 10.1086/382906
Subject(s) - sampling (signal processing) , noise (video) , spectrograph , physics , telescope , infrared , pixel , detector , near infrared spectroscopy , nonlinear system , variance (accounting) , optics , statistical physics , algorithm , statistics , computer science , mathematics , image (mathematics) , astronomy , artificial intelligence , accounting , quantum mechanics , business , spectral line
We derive general equations for non-linearity corrections and statisticaluncertainty (variance) estimates for data acquired with near-infrared detectorsemploying correlated double sampling, multiple correlated double sampling(Fowler sampling) and uniformly-spaced continuous readout techniques. Wecompare our equation for the variance on each pixel associated with Fowlersampling with measurements obtained from data taken with the array installed inthe near-infrared cross-dispersed spectrograph (SpeX) at the NASA InfraredTelescope Facility and find that it provides an accurate representation of theempirical results. This comparison also reveals that the read noise associatedwith a single readout of the SpeX array increases with the number ofnon-destructive reads, n_r, as n_r^0.16. This implies that the {effective} readnoise of a stored image decreases as n_r^-0.34, shallower than the expectedrate of n_r^-0.5. The cause of this read noise behavior is uncertain, but maybe due to heating of the array as a result of the multiple read outs. Suchbehavior may be generic to arrays that employ correlated or multiple correlateddouble sampling readouts.Comment: 21 pages, accepted by PAS

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