Reducing the Read Noise of the James Webb Near Infrared Spectrograph by Improved Reference Sampling & Subtraction (IRS-square)

Details Reducing the Read Noise of the James Webb Near Infrared Spectrograph by Improved Reference Sampling & Subtraction (IRS-square) Reducing the Read Noise of the James Webb Near Infrared Spectrograph by Improved Reference Sampling & Subtraction (IRS-square)

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21932806r&link_type=abstract

American Astronomical Society, AAS Meeting #219, #328.06

Astronomy and Astrophysics

Astronomy

Scientific paper

In a previous paper, we described a method for significantly reducing the read noise of HAWAII-2RG (H2RG) and SIDECAR application specific integrated circuit (ASIC) based detector systems by making better use of reference signals. "Improved Reference Sampling & Subtraction” (IRS2 pronounced "IRS-square") is based on: (1) making better use of the H2RG's reference output, (2) sampling reference pixels more frequently in the time domain, and (3) optimal subtraction of both the reference output and reference pixels in the Fourier domain. Here we demonstrate that IRS2 works as expected using an engineering grade James Webb Space Telescope (JWST) SIDECAR ASIC and H2RG detector array. We were able to reduce the read noise per frame from 25 e- rms using traditional JWST readout to 10 e- rms per frame using IRS2. The only aspect of the system that we changed to make these impressive improvements was the SIDECAR ASIC readout software -we did not change the hardware.

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