Noise and zero point drift in 1.7 mu m cutoff detectors for SNAP

Autor: Smith, Roger, Bebek, Christopher, Bonati, Marco, Brown, Matthew G., Cole, David, Rahmer, Gustavo, Schubnell, Michael, Seshadri, Suresh, Tarle, Gregory
Jazyk: angličtina
Rok vydání: 2006
Předmět:
Zdroj: Smith, Roger; Bebek, Christopher; Bonati, Marco; Brown, Matthew G.; Cole, David; Rahmer, Gustavo; et al.(2006). Noise and zero point drift in 1.7 mu m cutoff detectors for SNAP. Lawrence Berkeley National Laboratory. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/2rp639d5
Popis: We present the results of a detailed study of the noise performance of candidate NIR detectors for the proposed Super-Nova Acceleration Probe. Effects of Fowler sampling depth and frequency, temperature, exposure time, detector material, detector reverse-bias and multiplexer type are quantified. We discuss several tools for determining which sources of low frequency noise are primarily responsible for the sub-optimal noise improvement when multiple sampling. The effectiveness of reference pixel subtraction to mitigate zero point drifts is demonstrated, and the circumstances under which reference pixel subtraction should or should not be applied are examined. Spatial and temporal noise measurements are compared, and a simple method for quantifying the effect of hot pixels and RTS noise on spatial noise is described.
Databáze: OpenAIRE