X-Ray, Optical, and Infrared Detectors for Astronomy X 2022
DOI: 10.1117/12.2630195
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X-ray speed reading: enabling fast, low noise readout for next-generation CCDs

Abstract: Current, state-of-the-art CCDs are close to being able to deliver all key performance figures for future strategic X-ray missions except for the required frame rates. Our Stanford group is seeking to close this technology gap through a multi-pronged approach of microelectronics, signal processing and novel detector devices, developed in collaboration with the Massachusetts Institute of Technology (MIT) and MIT Lincoln Laboratory (MIT-LL).Here we report results from our (integrated) readout electronics developm… Show more

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Cited by 4 publications
(4 citation statements)
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“…We also review recent developments of our focal plane performance, which continue a multi-year effort to develop fast, low-noise detectors for future strategic X-ray missions. [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] We finally demonstrate that the advanced technology is on track to reach the required technical readiness level for the AXIS mission.…”
Section: Axis Mission Parametersmentioning
confidence: 78%
See 1 more Smart Citation
“…We also review recent developments of our focal plane performance, which continue a multi-year effort to develop fast, low-noise detectors for future strategic X-ray missions. [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] We finally demonstrate that the advanced technology is on track to reach the required technical readiness level for the AXIS mission.…”
Section: Axis Mission Parametersmentioning
confidence: 78%
“…The readout ASIC development and testing has been underway for several years at Stanford University, with the current MCRC v1.0 showing excellent performance, [14][15][16][17]19 as summarized in Table 5. The integrated readout chip outperforms the established discrete electronics in all parameters, at a fraction of the power consumption.…”
Section: Mcrc Asic Performancementioning
confidence: 99%
“…This new baseline level not only uses a larger number of samples and therefore has lower white noise contribution, but it can be interpreted as the interpolation of the baseline value at the signal midpoint and therefore, the effect of slow moving variations is cancelled out, resulting in an improved overall noise performance. This approach works only because, SiSeROs do not suffer from reset or KTC noise and such, the baseline (i.e., the transistor state with an empty buried back gate) is expected to be always the same 27 . Here the baseline and signal values can be estimated using either box-averaging or cusp-averaging of the samples.…”
Section: Noise Characterization Of Siserosmentioning
confidence: 99%
“…This approach works only because, SiSeROs do not suffer from reset or KTC noise and such, the baseline (i.e., the transistor state with an empty buried back gate) is expected to be always the same. 27 Here the baseline and signal values can be estimated using either boxaveraging or cusp-averaging of the samples. In case of cusp-averaging, we compute the signal values by employing double-sided cusp as shown in Fig.…”
Section: Double-baseline Filteringmentioning
confidence: 99%