UV, X-Ray, and Gamma-Ray Space Instrumentation for Astronomy XXIII 2023
DOI: 10.1117/12.2674828
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Characterization, quantum efficiency, and radiation hardness of a CMOS image sensor optimized for soft x-ray astronomy

Charles Townsend-Rose,
Thomas Buggey,
James Ivory
et al.

Abstract: CIS221-X is the first in a new generation of monolithic CMOS image sensors optimized for soft x-ray applications. The pixels are built on 35 μm thick, high-resistivity epitaxial silicon and feature Deep Depletion Extension (DDE) implants, facilitating over depletion by reverse substrate bias. When cooled to -40 °C, CIS221-X reports a readout noise of 3.3 e- RMS and 12.4 ± 0.06 e-/pixel/s of dark current. The 40μm pixels experience near-zero image lag. Following per-pixel gain correction, an energy resolution o… Show more

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Cited by 1 publication
(2 citation statements)
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“…For Lab-based tests raw image frames are often available, permitting the overall effect of the reconstruction threshold to be investigated by re-running event reconstruction algorithms for different threshold values on the same dataset. During separate experimental campaigns high quality monochromatic X-ray data was collected with a CIS221-X [14] and multi-peak fluorescence X-ray spectra of comparable energy was collected from an EMCCD [3]. These datasets have permitted the observation of some of the behaviours predicted by the model.…”
Section: Experimental Verificationmentioning
confidence: 99%
See 1 more Smart Citation
“…For Lab-based tests raw image frames are often available, permitting the overall effect of the reconstruction threshold to be investigated by re-running event reconstruction algorithms for different threshold values on the same dataset. During separate experimental campaigns high quality monochromatic X-ray data was collected with a CIS221-X [14] and multi-peak fluorescence X-ray spectra of comparable energy was collected from an EMCCD [3]. These datasets have permitted the observation of some of the behaviours predicted by the model.…”
Section: Experimental Verificationmentioning
confidence: 99%
“…The predicted FWHM includes expected reconstruction noise and Fano noise. This data did not include the pixel level gain correction of[14].…”
mentioning
confidence: 99%