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Ranking and validation of spallation models for isotopic production cross sections of heavy residua

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Ranking and validation of spallation models for isotopic production cross sections of heavy residua

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dc.contributor.author Sharma, Sushil [SAP14018287] pl
dc.contributor.author Kamys, Bogusław [SAP11006618] pl
dc.contributor.author Goldenbaum, Frank pl
dc.contributor.author Filges, Detlef pl
dc.date.accessioned 2017-07-25T11:52:26Z
dc.date.available 2017-07-25T11:52:26Z
dc.date.issued 2017 pl
dc.identifier.issn 1434-6001 pl
dc.identifier.uri http://ruj.uj.edu.pl/xmlui/handle/item/42980
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/pl/legalcode *
dc.title Ranking and validation of spallation models for isotopic production cross sections of heavy residua pl
dc.type JournalArticle pl
dc.abstract.en The production cross sections of isotopically identified residual nuclei of spallation reactions induced by ^{136}Xe projectiles at 500AMeV on hydrogen target were analyzed in a two-step model. The first stage of the reaction was described by the INCL4.6 model of an intranuclear cascade of nucleon-nucleon and pion-nucleon collisions whereas the second stage was analyzed by means of four different models; ABLA07, GEM2, GEMINI++ and SMM. The quality of the data description was judged quantitatively using two statistical deviation factors; the H-factor and the M-factor. It was found that the present analysis leads to a different ranking of models as compared to that obtained from the qualitative inspection of the data reproduction. The disagreement was caused by sensitivity of the deviation factors to large statistical errors present in some of the data. A new deviation factor, the A factor, was proposed, that is not sensitive to the statistical errors of the cross sections. The quantitative ranking of models performed using the A-factor agreed well with the qualitative analysis of the data. It was concluded that using the deviation factors weighted by statistical errors may lead to erroneous conclusions in the case when the data cover a large range of values. The quality of data reproduction by the theoretical models is discussed. Some systematic deviations of the theoretical predictions from the experimental results are observed. pl
dc.description.volume 53 pl
dc.description.number 7 pl
dc.identifier.doi 10.1140/epja/i2017-12334-2 pl
dc.identifier.eissn 1434-601X pl
dc.title.journal The European Physical Journal. A, Hadrons and Nuclei pl
dc.language.container eng pl
dc.affiliation Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Fizyki im. Mariana Smoluchowskiego pl
dc.subtype Article pl
dc.identifier.articleid 150 pl
dc.rights.original CC-BY; inne; ostateczna wersja wydawcy; w momencie opublikowania; 0; pl
dc.identifier.project ROD UJ / P pl
.pointsMNiSW [2017 A]: 30


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Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa