Resonance region capture cross section measurements in iron and tantalum using a new C6D6 detector array

Author
McDermott, Brian James
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Other Contributors
Danon, Yaron; Lian, Jie; Ji, Wei; Napolitano, Jim; Barry, Devin; Block, Robert C., 1929-;
Date Issued
2016-12
Subject
Nuclear engineering and science
Degree
PhD;
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.; Attribution-NonCommercial-NoDerivs 3.0 United States
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https://hdl.handle.net/20.500.13015/1925
Abstract
The measurement of accurate and precise neutron capture cross section data in the keV resonance region has historically been challenging due to the heavy dominance of neutron scattering in this energy region. Because capture measurements rely on the detection of the prompt cascade of gamma-ray photons emitted in capture reactions, neutrons that scatter off the sample being investigated can create a confounding false signal if they are subsequently captured in the surrounding environment.; A new capture detection systems has been developed at the Rensselaer Gaerttner Linear Accelerator Center with a significantly diminished sensitivity to the effects of scattered neutrons.;
Description
December 2016; School of Engineering
Department
Dept. of Mechanical, Aerospace, and Nuclear Engineering;
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection;
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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.;
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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.