Nuclear data measurements with the Oak Ridge Electron Linear Accelerator (ORELA) for supporting nuclear fuel cycle applications

M. E. Dunn, K. H. Guber

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For more than 30 years, the Oak Ridge National Laboratory (ORNL) has performed research and development to provide accurate nuclear cross-section data in the resonance region. Overall, the Nuclear Data (ND) Program is tightly coupled with nuclear fuel cycle analyses and radiation transport methods development efforts at ORNL. As a result, resonance region measurements and evaluations are performed in concert with nuclear science and technology needs and requirements. At the heart of the ND program is the Oak Ridge Electron Linear Accelerator (ORELA) that is used to perform high-resolution neutron cross-section measurements in the resonance region. Recently, an accelerator refurbishment effort has been initiated at ORELA to improve operation reliability. As a result, new cross-section measurements have been performed at ORELA, and ORELA is readily available to address current and future nuclear data needs in the resonance region.

Original languageEnglish
Title of host publication8th International Topical Meeting on Nuclear Applications and Utilization of Accelerators, ACCAPP'07
Pages781-787
Number of pages7
StatePublished - 2007
Event8th International Topical Meeting on Nuclear Applications and Utilization of Accelerators, ACCAPP'07 - Pocatello, ID, United States
Duration: Jul 29 2007Aug 2 2007

Publication series

Name8th International Topical Meeting on Nuclear Applications and Utilization of Accelerators, ACCAPP'07

Conference

Conference8th International Topical Meeting on Nuclear Applications and Utilization of Accelerators, ACCAPP'07
Country/TerritoryUnited States
CityPocatello, ID
Period07/29/0708/2/07

Fingerprint

Dive into the research topics of 'Nuclear data measurements with the Oak Ridge Electron Linear Accelerator (ORELA) for supporting nuclear fuel cycle applications'. Together they form a unique fingerprint.

Cite this