New perspectives in neutron reaction cross-section evaluation using consistent multichannel modeling methodology: Application to 17O*
The traditional methodology of nuclear data evaluation is showing its limitations in reducing significantly the uncertainties in neutron cross sections below their current level. This suggests that a new approach should be considered. This work aims at establishing that a major qualitative improveme...
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doaj-411448c66ff449739e4d82f21acd546f2021-08-02T22:21:50ZengEDP SciencesEPJ Web of Conferences2100-014X2020-01-012391100710.1051/epjconf/202023911007epjconf_nd2019_11007New perspectives in neutron reaction cross-section evaluation using consistent multichannel modeling methodology: Application to 17O*Nizigama Aloys0Bouland Olivier1Tamagno Pierre2CEA, DEN, SPRC, Physics Studies LaboratoryCEA, DEN, SPRC, Physics Studies LaboratoryCEA, DEN, SPRC, Physics Studies LaboratoryThe traditional methodology of nuclear data evaluation is showing its limitations in reducing significantly the uncertainties in neutron cross sections below their current level. This suggests that a new approach should be considered. This work aims at establishing that a major qualitative improvement is possible by changing the reference framework historically used for evaluating nuclear model data. The central idea is to move from the restrictive framework of the incident neutron and target nucleus to the more general framework of the excited compound-system. Such a change, which implies the simultaneous modeling of all the reactions leading to the same compound-system, opens up the possibility of direct comparisons between nuclear model parameters, whether those are derived for reactor physics applications, astrophysics or basic nuclear spectroscopy studies. This would have the double advantage of bringing together evaluation activities performed separately, and of pooling experimental databases and basic theoretical nuclear parameter files. A consistent multichannel modeling methodology using the TORA module of the CONRAD code is demonstrated across the evaluation of differential and angle-integrated neutron cross sections of 16O by fitting simultaneously incident-neutron direct kinematic reactions and incident-alpha inverse kinematic reactions without converting alpha data into the neutron laboratory system. The modeling is fulfilled within the Reich-Moore formalism and an unique set of fitted resonance parameters related to the 17O* compound-system.https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_11007.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nizigama Aloys Bouland Olivier Tamagno Pierre |
spellingShingle |
Nizigama Aloys Bouland Olivier Tamagno Pierre New perspectives in neutron reaction cross-section evaluation using consistent multichannel modeling methodology: Application to 17O* EPJ Web of Conferences |
author_facet |
Nizigama Aloys Bouland Olivier Tamagno Pierre |
author_sort |
Nizigama Aloys |
title |
New perspectives in neutron reaction cross-section evaluation using consistent multichannel modeling methodology: Application to 17O* |
title_short |
New perspectives in neutron reaction cross-section evaluation using consistent multichannel modeling methodology: Application to 17O* |
title_full |
New perspectives in neutron reaction cross-section evaluation using consistent multichannel modeling methodology: Application to 17O* |
title_fullStr |
New perspectives in neutron reaction cross-section evaluation using consistent multichannel modeling methodology: Application to 17O* |
title_full_unstemmed |
New perspectives in neutron reaction cross-section evaluation using consistent multichannel modeling methodology: Application to 17O* |
title_sort |
new perspectives in neutron reaction cross-section evaluation using consistent multichannel modeling methodology: application to 17o* |
publisher |
EDP Sciences |
series |
EPJ Web of Conferences |
issn |
2100-014X |
publishDate |
2020-01-01 |
description |
The traditional methodology of nuclear data evaluation is showing its limitations in reducing significantly the uncertainties in neutron cross sections below their current level. This suggests that a new approach should be considered. This work aims at establishing that a major qualitative improvement is possible by changing the reference framework historically used for evaluating nuclear model data. The central idea is to move from the restrictive framework of the incident neutron and target nucleus to the more general framework of the excited compound-system. Such a change, which implies the simultaneous modeling of all the reactions leading to the same compound-system, opens up the possibility of direct comparisons between nuclear model parameters, whether those are derived for reactor physics applications, astrophysics or basic nuclear spectroscopy studies. This would have the double advantage of bringing together evaluation activities performed separately, and of pooling experimental databases and basic theoretical nuclear parameter files. A consistent multichannel modeling methodology using the TORA module of the CONRAD code is demonstrated across the evaluation of differential and angle-integrated neutron cross sections of 16O by fitting simultaneously incident-neutron direct kinematic reactions and incident-alpha inverse kinematic reactions without converting alpha data into the neutron laboratory system. The modeling is fulfilled within the Reich-Moore formalism and an unique set of fitted resonance parameters related to the 17O* compound-system. |
url |
https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_11007.pdf |
work_keys_str_mv |
AT nizigamaaloys newperspectivesinneutronreactioncrosssectionevaluationusingconsistentmultichannelmodelingmethodologyapplicationto17o AT boulandolivier newperspectivesinneutronreactioncrosssectionevaluationusingconsistentmultichannelmodelingmethodologyapplicationto17o AT tamagnopierre newperspectivesinneutronreactioncrosssectionevaluationusingconsistentmultichannelmodelingmethodologyapplicationto17o |
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1721226390355836928 |