Measuring the quantum efficiency of X-ray hybrid CMOS detectors

Joseph M. Colosimo, Abraham D. Falcone, Mitchell Wages, Samuel V. Hull, David N. Burrows, Mitchell Range, Fredric Hancock, Cole R. Armstrong, Gooderham McCormick, Daniel M. Larocca

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Next-generation X-ray observatories, such as the Lynx X-ray Observatory Mission Concept, will require detectors with high quantum efficiency (QE) across the soft X-ray band to observe the faint objects that drive their mission science cases. Hybrid CMOS Detectors (HCDs), a form of active-pixel sensor, are promising candidates for use on these missions because of their faster read-out, lower power consumption, and greater radiation hardness than detectors used in the current generation of X-ray telescopes. In this work, we present QE measurements of a Teledyne H2RG HCD. These measurements were performed using a gas-flow proportional counter as a reference detector to measure the absolute flux incident on the HCD. We find an effective QE of 95:0 ± 1:1% at the Mn ∝/Kβ lines (at 5.9 and 6.5 keV), 98:5 ± 1:8% at the Al Ka line (1.5 keV), and 85:0 ± 2:8% at the O K∝ line (0.52 keV).

Original languageEnglish (US)
Title of host publicationUV, X-Ray, and Gamma-Ray Space Instrumentation for Astronomy XXII
EditorsOswald H. Siegmund
PublisherSPIE
ISBN (Electronic)9781510644809
DOIs
StatePublished - 2021
EventUV, X-Ray, and Gamma-Ray Space Instrumentation for Astronomy XXII 2021 - San Diego, United States
Duration: Aug 1 2021Aug 5 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11821
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceUV, X-Ray, and Gamma-Ray Space Instrumentation for Astronomy XXII 2021
Country/TerritoryUnited States
CitySan Diego
Period8/1/218/5/21

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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