2007
DOI: 10.1086/520887
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Detectors for theJames Webb Space TelescopeNear‐Infrared Spectrograph. I. Readout Mode, Noise Model, and Calibration Considerations

Abstract: We describe how the James Webb Space Telescope (JWST) Near-Infrared Spectrograph's (NIRSpec's) detectors will be read out, and present a model of how noise scales with the number of multiple non-destructive reads samplingup-the-ramp. We believe that this noise model, which is validated using real and simulated test data, is applicable to most astronomical near-infrared instruments. We describe some non-ideal behaviors that have been observed in engineering grade NIRSpec detectors, and demonstrate that they are… Show more

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Cited by 81 publications
(79 citation statements)
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“…The integrations are called up-the-ramp because when pixels are illuminated, the 88 up-the-ramp samples follow an approximately straight line with positive slope. For more information on JWST detector readout modes and noise models, the interested reader is referred to Rauscher et al 11 …”
Section: Jwst Nir Performance Requirementsmentioning
confidence: 99%
“…The integrations are called up-the-ramp because when pixels are illuminated, the 88 up-the-ramp samples follow an approximately straight line with positive slope. For more information on JWST detector readout modes and noise models, the interested reader is referred to Rauscher et al 11 …”
Section: Jwst Nir Performance Requirementsmentioning
confidence: 99%
“…The NIRCam detectors will be operated in their normal MULTIACCUM modes [21][22][23] during spectroscopic observations. High-precision time-series grism observations of bright objects (e.g., host stars of transiting planets) will likely require the use of a limited detector region to prevent saturation.…”
Section: Spectroscopic Operationsmentioning
confidence: 99%
“…The general expression for the total noise variance, in case of UTR/MACC readout modes, has been provided by Rauscher et al 2007 [10] and is reported hereafter:…”
Section: Vnir Detectors Best Readout Mode Evaluationmentioning
confidence: 99%