Analysis of neutron time-of-flight spectra with a Bayesian unfolding methodology

被引：0

作者：

Perez de Rada Fiol, A. ^{[1
,2
]}

Cano-Ott, D. ^{[1
]}

Martinez, T. ^{[1
]}

Alcayne, V. ^{[1
]}

Mendoza, E. ^{[1
]}

Plaza, J. ^{[1
]}

Sanchez-Caballero, A. ^{[1
]}

Villamarin, D. ^{[1
]}

机构：

[1] Ctr Invest Energet Medioambientales & Tecnol CIEMA, Madrid 28040, Spain

[2] CIEMAT, Ave Complutense 40, Madrid 28040, Spain

来源：

RADIATION PHYSICS AND CHEMISTRY | 2025年 / 226卷

基金：

欧盟地平线“2020”;

关键词：

Neutron spectroscopy; Time-of-flight technique; Inverse problem; Iterative Bayesian unfolding; Monte Carlo simulation; beta-decay; PHYSICS MODEL; SIMULATION;

D O I：

10.1016/j.radphyschem.2024.112243

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

We have developed an innovative methodology for obtaining the neutron energy distribution from a time-of-flight (TOF) measurement based on the iterative Bayesian unfolding method and accurate Monte Carlo simulations. This methodology has been validated through the analysis of a realistic virtual beta-decay experiment, including the most relevant systematic effects in a real experiment. The proposed methodology allowed for obtaining accurate results over the energy range above the neutron detection threshold.

引用

页数：10

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