Reexamining fission-probability data using R-matrix Monte Carlo simulations: Beyond the surrogate-reaction method

O. Bouland
Phys. Rev. C 100, 064611 – Published 24 December 2019

Abstract

This article describes an original approach to simultaneously analyzing cross sections and data obtained with surrogate reactions, using an efficient Monte Carlo extended R-matrix theory algorithm based on an unique set of nuclear structure parameters. The alternative analytical path based on the manifold Hauser-Feshbach equation was intensively used in this work to gauge the errors carried by the surrogate-reaction method commonly taken to infer neutron-induced cross sections from observed decay probabilities. The present paper emphasizes in particular a dedicated way to treat ingoing direct reaction and outgoing channels widths correlations and to recall the common absence of class-II states width fluctuation factor in standard codes for calculating average fission cross sections. The present approach opens interesting perspectives on the matter of neutron cross section inference as simultaneously measured fission and γ-emission probabilities become widely available.

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  • Received 12 June 2019
  • Revised 24 September 2019

DOI:https://doi.org/10.1103/PhysRevC.100.064611

©2019 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

O. Bouland*

  • CEA, DEN, DER, SPRC, Physics Studies Laboratory, Cadarache, F-13108 Saint-Paul-lez-Durance, France

  • *olivier.bouland@cea.fr

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Issue

Vol. 100, Iss. 6 — December 2019

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