NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Comparison of Calibration coefficients for Vinten Ionization Chamber Simulated Using Four Monte Carlo Methods
Published
Author(s)
Brittany Broder, Denis E. Bergeron, Ryan P. Fitzgerald, Brian E. Zimmerman
Abstract
The Vinten 671 ionization chamber (VIC) was modelled using four Monte Carlo (MC) programs: EGS++, EGSnrc, Penelope, and TOPAS. VICs with well-characterized response relationships are deployed at several national measurement institutes (NMIs), where calibration coefficients for many radionuclides have been measured, providing a convenient benchmark for MC models. VIC geometries were based on technical drawings, a CT scan of the VIC at NIST, and parameters in the literature. Radionuclides were modeled as distributed aqueous sources in 5 mL borosilicate flame-sealed ampoules; 12 radionuclides with various decay emissions were assessed as well as 14 monoenergetic photon sources and 10 monoenergetic electron sources. To compare the response of the nuclides, the energy deposited in the simulated VIC nitrogen gas volume was observed and used to calculate the calibration coefficient. These values were compared to experimental values from the literature.
Broder, B.
, Bergeron, D.
, Fitzgerald, R.
and Zimmerman, B.
(2023),
Comparison of Calibration coefficients for Vinten Ionization Chamber Simulated Using Four Monte Carlo Methods, Applied Radiation and Isotopes, [online], https://doi.org/10.1016/j.apradiso.2023.111068, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=956195
(Accessed October 9, 2025)