Bulletin of the American Physical Society
2024 Fall Meeting of the APS Division of Nuclear Physics
Sunday–Thursday, October 6–10, 2024; Boston, Massachusetts
Session R11: Mini-Symposium: Applied Nuclear Physics III
10:30 AM–11:42 AM,
Thursday, October 10, 2024
Hilton Boston Park Plaza
Room: Arlington, Mezzanine Level
Chair: Thanos Stamatopoulos, Los Alamos National Laboratory
Abstract: R11.00006 : Measurement of 16O(n,n'γ) with CoGNAC at LANSCE and covariance reporting techniques*
11:30 AM–11:42 AM
Presenter:
Jason Surbrook
(Los Alamos National Laboratory)
Authors:
Jason Surbrook
(Los Alamos National Laboratory)
Keegan J Kelly
(Los Alamos National Laboratory)
Patrick A Copp
(Los Alamos National Laboratory)
Eames A Bennett
(Los Alamos National Laboratory (LANL))
Matthew J Devlin
(Los Alamos National Laboratory (LANL))
John M O'Donnell
(Los Alamos National Laboratory)
Mark W Paris
(Los Alamos National Laboratory (LANL))
Hirokazu Sasaki
(Los Alamos National Laboratory)
Charles Arnold
(Los Alamos National Laboratory)
Additionally, there is a strong need to improve nuclear data reporting. Nuclear data evaluations are filled with reasonable assumptions around measurements for which data and analyses are not available. The reliance on these assumptions can be reduced by reporting full and component-associated covariances that enable post-processing of results by evaluators. However, even modest datasets produce covariance matrices large enough to overwhelm print or digital databases such as EXFOR, and this problem will only grow with widespread adoption of covariance reporting. We will present work done to compress covariance matrices in a manner suitable for limited-space print and digital repositories.
*This work was funded by the DOE-NNSA Offices NA-22 and NA-113.
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