Year: 2025
Type: article
Abstract: The prompt fission neutron spectrum (PFNS) of spontaneously fissioning 252Cf is a Neutron Data Standards observable. Nearly all fission spectra of actinides were measured relative to it, using efficiencies derived from it, or analyzed with simulations validated by it. The current Standards evaluation was published by W. Mannhart in 1987. It could not be updated because the evaluation input, experimental mean values and covariances, were lost. First, we attempt to reproduce it. However, Mannhart’s evaluation can only be reproduced within its one-σ uncertainties as some of its aspects (e.g., experimental covariances, rejected data points) remain unknown. Therefore, a new evaluation is presented: We revisit all existing experimental 252Cf(sf) PFNS data, including those published after the release of the current Standards evaluation, and re-estimate associated covariances. The newly evaluated 252Cf(sf) PFNS differs distinctly from Mannhart’s below 300 keV and extends it to lower and higher outgoing neutron energies (500 eV–25 MeV). The new evaluated uncertainties are larger from 3–9 MeV and smaller otherwise. Spectrum averaged cross sections of importance to the International Reactor Dosimetry and Fusion File community calculated with the new spectrum are close to those calculated with Mannhart’s evaluation and agree with experimental values well within their uncertainties.
Authors: D. Neudecker, K.J. Kelly, A.D. Carlson, B. Pritychenko, D. Brown, M.J. Grosskopf, S.A. Van der Wiel, R.C. Haight, R. Capote, T.N. Massey, A. Trkov, N.A.W. Walton
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: G1017065088, G1126863173, G1279347439, G132563423, G1527848044, G1572106353, G211823381, G498139845, G5292656900, G5955292761, G604949671, G6410514744, TO CONDUCT NONPROLIFERATION RESEARCH IN NUCLEAR SCIENCE AND ENGINEERING AND DEVELOP HUMAN CAPITAL FOR THE NATION'S NATIONAL AND NUCLEAR SECURITY MISSIONS IN SUPPORT OF DNN R&D., G969889393
OpenAlex ID: W7113896934
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