Constraining statistical-model parameters using fusion and spallation reactions

The de-excitation of compound nuclei has been successfully described for several decades by means of statistical models. However, such models involve a large number of free parameters and ingredients that are often underconstrained by experimental data. We show how the degeneracy of the model ingre...

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Main Authors: Charity Robert J., Mancusi Davide, Cugnon Joseph
Format: Article
Language:English
Published: EDP Sciences 2011-10-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/20111710003
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author Charity Robert J.
Mancusi Davide
Cugnon Joseph
author_facet Charity Robert J.
Mancusi Davide
Cugnon Joseph
author_sort Charity Robert J.
collection DOAJ
description The de-excitation of compound nuclei has been successfully described for several decades by means of statistical models. However, such models involve a large number of free parameters and ingredients that are often underconstrained by experimental data. We show how the degeneracy of the model ingredients can be partially lifted by studying different entrance channels for de-excitation, which populate different regions of the parameter space of the compound nucleus. Fusion reactions, in particular, play an important role in this strategy because they fix three out of four of the compound-nucleus parameters (mass, charge and total excitation energy). The present work focuses on fission and intermediate-mass-fragment emission cross sections. We prove how equivalent parameter sets for fusion-fission reactions can be resolved using another entrance channel, namely spallation reactions. Intermediate-mass-fragment emission can be constrained in a similar way. An interpretation of the best-fit IMF barriers in terms of the Wigner energies of the nascent fragments is discussed.
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spelling doaj.art-966ce38e26324745ab496afb79ed17312022-12-21T22:08:14ZengEDP SciencesEPJ Web of Conferences2100-014X2011-10-01171000310.1051/epjconf/20111710003Constraining statistical-model parameters using fusion and spallation reactionsCharity Robert J.Mancusi DavideCugnon JosephThe de-excitation of compound nuclei has been successfully described for several decades by means of statistical models. However, such models involve a large number of free parameters and ingredients that are often underconstrained by experimental data. We show how the degeneracy of the model ingredients can be partially lifted by studying different entrance channels for de-excitation, which populate different regions of the parameter space of the compound nucleus. Fusion reactions, in particular, play an important role in this strategy because they fix three out of four of the compound-nucleus parameters (mass, charge and total excitation energy). The present work focuses on fission and intermediate-mass-fragment emission cross sections. We prove how equivalent parameter sets for fusion-fission reactions can be resolved using another entrance channel, namely spallation reactions. Intermediate-mass-fragment emission can be constrained in a similar way. An interpretation of the best-fit IMF barriers in terms of the Wigner energies of the nascent fragments is discussed.http://dx.doi.org/10.1051/epjconf/20111710003
spellingShingle Charity Robert J.
Mancusi Davide
Cugnon Joseph
Constraining statistical-model parameters using fusion and spallation reactions
EPJ Web of Conferences
title Constraining statistical-model parameters using fusion and spallation reactions
title_full Constraining statistical-model parameters using fusion and spallation reactions
title_fullStr Constraining statistical-model parameters using fusion and spallation reactions
title_full_unstemmed Constraining statistical-model parameters using fusion and spallation reactions
title_short Constraining statistical-model parameters using fusion and spallation reactions
title_sort constraining statistical model parameters using fusion and spallation reactions
url http://dx.doi.org/10.1051/epjconf/20111710003
work_keys_str_mv AT charityrobertj constrainingstatisticalmodelparametersusingfusionandspallationreactions
AT mancusidavide constrainingstatisticalmodelparametersusingfusionandspallationreactions
AT cugnonjoseph constrainingstatisticalmodelparametersusingfusionandspallationreactions