Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 29,
  • Issue 4,
  • pp. 316-322
  • (1975)

Accurate Calibration of Efficiencies of X-ray Detectors: Flow-Proportional and Scintillation Counters

Not Accessible

Your library or personal account may give you access

Abstract

Direct methods have been devised for calibrating the quantum efficiencies of two x-ray detectors: a Siemens flow-proportional counter in the energy range 2.6 to 11.2 keV, and a General Electric SPG 5 scintillation counter in the range 5.9 to 50.4 keV. Literature values for x-ray attenuation coefficients of detector components are used only to estimate small corrections for x-ray scattering. The largest known errors in the measurements are statistical errors in photon counting and range from 0.03 to 0.23%. In the energy range 5.9 to 11.2 keV, efficiencies of a lithium-drifted silicon detector measured by comparison with the two calibrated detectors as references agree satisfactorily. Linear attenuation coefficients have been measured for argon, methane and P-10 gas (90% Ar; 10% CH<sub>4</sub>) in the energy range 2 to 12 keV; these can be used to calculate the efficiency of any flow-proportional counter of known geometry when used with counter gas consisting of a known mixture of argon and methane.

PDF Article
More Like This
Scintillation Counter for Detection of X-Rays*

J. T. Nelson and R. T. Ellickson
J. Opt. Soc. Am. 45(11) 984-986 (1955)

Accurate determination of segmented X-ray detector geometry

Oleksandr Yefanov, Valerio Mariani, Cornelius Gati, Thomas A. White, Henry N. Chapman, and Anton Barty
Opt. Express 23(22) 28459-28470 (2015)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.