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Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study

Monte Carlo (MC) simulations are an essential tool to determine fundamental features of a neutron beam, such as the neutron flux or the γ-ray background, that sometimes can not be measured or at least not in every position or energy range. Until recently, the most widely used MC codes in this field...

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Autores principales: Lerendegui-Marco, J, Cortés-Giraldo, M A, Guerrero, C, Quesada, J M, Lo Meo, S, Massimi, C, Barbagallo, M, Colonna, N, Mancussi, D, Mingrone, F, Sabaté-Gilarte, M, Vannini, G, Vlachoudis, V, Aberle, O, Andrzejewski, J, Audouin, L, Bacak, M, Balibrea, J, Bečvář, F, Berthoumieux, E, Billowes, J, Bosnar, D, Brown, A, Caamaño, M, Calviño, F, Calviani, M, Cano-Ott, D, Cardella, R, Casanovas, A, Cerutti, F, Chen, Y H, Chiaveri, E, Cortés, G, Cosentino, L, Damone, L A, Diakaki, M, Domingo-Pardo, C, Dressler, R, Dupont, E, Durán, I, Fernández-Domínguez, B, Ferrari, A, Ferreira, P, Finocchiaro, P, Göbel, K, Gómez-Hornillos, M B, García, A R, Gawlik, A, Gilardoni, S, Glodariu, T, Gonçalves, I F, González, E, Griesmayer, E, Gunsing, F, Harada, H, Heinitz, S, Heyse, J, Jenkins, D G, Jericha, E, Käppeler, F, Kadi, Y, Kalamara, A, Kavrigin, P, Kimura, A, Kivel, N, Kokkoris, M, Krtička, M, Kurtulgil, D, Leal-Cidoncha, E, Lederer, C, Leeb, H, Lonsdale, S J, Macina, D, Marganiec, J, Martínez, T, Masi, A, Mastinu, P, Mastromarco, M, Maugeri, E A, Mazzone, A, Mendoza, E, Mengoni, A, Milazzo, P M, Musumarra, A, Negret, A, Nolte, R, Oprea, A, Patronis, N, Pavlik, A, Perkowski, J, Porras, I, Praena, J, Radeck, D, Rauscher, T, Reifarth, R, Rout, P C, Rubbia, C, Ryan, J A, Saxena, A, Schillebeeckx, P, Schumann, D, Smith, A G, Sosnin, N V, Stamatopoulos, A, Tagliente, G, Tain, J L, Tarifeño-Saldivia, A, Tassan-Got, L, Valenta, S, Variale, V, Vaz, P, Ventura, A, Vlastou, R, Wallner, A, Warren, S, Woods, P J, Wright, T, Žugec, P
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201714603030
http://cds.cern.ch/record/2315303
_version_ 1780958205439901696
author Lerendegui-Marco, J
Cortés-Giraldo, M A
Guerrero, C
Quesada, J M
Lo Meo, S
Massimi, C
Barbagallo, M
Colonna, N
Mancussi, D
Mingrone, F
Sabaté-Gilarte, M
Vannini, G
Vlachoudis, V
Aberle, O
Andrzejewski, J
Audouin, L
Bacak, M
Balibrea, J
Bečvář, F
Berthoumieux, E
Billowes, J
Bosnar, D
Brown, A
Caamaño, M
Calviño, F
Calviani, M
Cano-Ott, D
Cardella, R
Casanovas, A
Cerutti, F
Chen, Y H
Chiaveri, E
Cortés, G
Cosentino, L
Damone, L A
Diakaki, M
Domingo-Pardo, C
Dressler, R
Dupont, E
Durán, I
Fernández-Domínguez, B
Ferrari, A
Ferreira, P
Finocchiaro, P
Göbel, K
Gómez-Hornillos, M B
García, A R
Gawlik, A
Gilardoni, S
Glodariu, T
Gonçalves, I F
González, E
Griesmayer, E
Gunsing, F
Harada, H
Heinitz, S
Heyse, J
Jenkins, D G
Jericha, E
Käppeler, F
Kadi, Y
Kalamara, A
Kavrigin, P
Kimura, A
Kivel, N
Kokkoris, M
Krtička, M
Kurtulgil, D
Leal-Cidoncha, E
Lederer, C
Leeb, H
Lonsdale, S J
Macina, D
Marganiec, J
Martínez, T
Masi, A
Mastinu, P
Mastromarco, M
Maugeri, E A
Mazzone, A
Mendoza, E
Mengoni, A
Milazzo, P M
Musumarra, A
Negret, A
Nolte, R
Oprea, A
Patronis, N
Pavlik, A
Perkowski, J
Porras, I
Praena, J
Radeck, D
Rauscher, T
Reifarth, R
Rout, P C
Rubbia, C
Ryan, J A
Saxena, A
Schillebeeckx, P
Schumann, D
Smith, A G
Sosnin, N V
Stamatopoulos, A
Tagliente, G
Tain, J L
Tarifeño-Saldivia, A
Tassan-Got, L
Valenta, S
Variale, V
Vaz, P
Ventura, A
Vlastou, R
Wallner, A
Warren, S
Woods, P J
Wright, T
Žugec, P
author_facet Lerendegui-Marco, J
Cortés-Giraldo, M A
Guerrero, C
Quesada, J M
Lo Meo, S
Massimi, C
Barbagallo, M
Colonna, N
Mancussi, D
Mingrone, F
Sabaté-Gilarte, M
Vannini, G
Vlachoudis, V
Aberle, O
Andrzejewski, J
Audouin, L
Bacak, M
Balibrea, J
Bečvář, F
Berthoumieux, E
Billowes, J
Bosnar, D
Brown, A
Caamaño, M
Calviño, F
Calviani, M
Cano-Ott, D
Cardella, R
Casanovas, A
Cerutti, F
Chen, Y H
Chiaveri, E
Cortés, G
Cosentino, L
Damone, L A
Diakaki, M
Domingo-Pardo, C
Dressler, R
Dupont, E
Durán, I
Fernández-Domínguez, B
Ferrari, A
Ferreira, P
Finocchiaro, P
Göbel, K
Gómez-Hornillos, M B
García, A R
Gawlik, A
Gilardoni, S
Glodariu, T
Gonçalves, I F
González, E
Griesmayer, E
Gunsing, F
Harada, H
Heinitz, S
Heyse, J
Jenkins, D G
Jericha, E
Käppeler, F
Kadi, Y
Kalamara, A
Kavrigin, P
Kimura, A
Kivel, N
Kokkoris, M
Krtička, M
Kurtulgil, D
Leal-Cidoncha, E
Lederer, C
Leeb, H
Lonsdale, S J
Macina, D
Marganiec, J
Martínez, T
Masi, A
Mastinu, P
Mastromarco, M
Maugeri, E A
Mazzone, A
Mendoza, E
Mengoni, A
Milazzo, P M
Musumarra, A
Negret, A
Nolte, R
Oprea, A
Patronis, N
Pavlik, A
Perkowski, J
Porras, I
Praena, J
Radeck, D
Rauscher, T
Reifarth, R
Rout, P C
Rubbia, C
Ryan, J A
Saxena, A
Schillebeeckx, P
Schumann, D
Smith, A G
Sosnin, N V
Stamatopoulos, A
Tagliente, G
Tain, J L
Tarifeño-Saldivia, A
Tassan-Got, L
Valenta, S
Variale, V
Vaz, P
Ventura, A
Vlastou, R
Wallner, A
Warren, S
Woods, P J
Wright, T
Žugec, P
author_sort Lerendegui-Marco, J
collection CERN
description Monte Carlo (MC) simulations are an essential tool to determine fundamental features of a neutron beam, such as the neutron flux or the γ-ray background, that sometimes can not be measured or at least not in every position or energy range. Until recently, the most widely used MC codes in this field had been MCNPX and FLUKA. However, the Geant4 toolkit has also become a competitive code for the transport of neutrons after the development of the native Geant4 format for neutron data libraries, G4NDL. In this context, we present the Geant4 simulations of the neutron spallation target of the n_TOF facility at CERN, done with version 10.1.1 of the toolkit. The first goal was the validation of the intra-nuclear cascade models implemented in the code using, as benchmark, the characteristics of the neutron beam measured at the first experimental area (EAR1), especially the neutron flux and energy distribution, and the time distribution of neutrons of equal kinetic energy, the so-called Resolution Function. The second goal was the development of a Monte Carlo tool aimed to provide useful calculations for both the analysis and planning of the upcoming measurements at the new experimental area (EAR2) of the facility.
id oai-inspirehep.net-1669087
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling oai-inspirehep.net-16690872019-09-30T06:29:59Zdoi:10.1051/epjconf/201714603030http://cds.cern.ch/record/2315303engLerendegui-Marco, JCortés-Giraldo, M AGuerrero, CQuesada, J MLo Meo, SMassimi, CBarbagallo, MColonna, NMancussi, DMingrone, FSabaté-Gilarte, MVannini, GVlachoudis, VAberle, OAndrzejewski, JAudouin, LBacak, MBalibrea, JBečvář, FBerthoumieux, EBillowes, JBosnar, DBrown, ACaamaño, MCalviño, FCalviani, MCano-Ott, DCardella, RCasanovas, ACerutti, FChen, Y HChiaveri, ECortés, GCosentino, LDamone, L ADiakaki, MDomingo-Pardo, CDressler, RDupont, EDurán, IFernández-Domínguez, BFerrari, AFerreira, PFinocchiaro, PGöbel, KGómez-Hornillos, M BGarcía, A RGawlik, AGilardoni, SGlodariu, TGonçalves, I FGonzález, EGriesmayer, EGunsing, FHarada, HHeinitz, SHeyse, JJenkins, D GJericha, EKäppeler, FKadi, YKalamara, AKavrigin, PKimura, AKivel, NKokkoris, MKrtička, MKurtulgil, DLeal-Cidoncha, ELederer, CLeeb, HLonsdale, S JMacina, DMarganiec, JMartínez, TMasi, AMastinu, PMastromarco, MMaugeri, E AMazzone, AMendoza, EMengoni, AMilazzo, P MMusumarra, ANegret, ANolte, ROprea, APatronis, NPavlik, APerkowski, JPorras, IPraena, JRadeck, DRauscher, TReifarth, RRout, P CRubbia, CRyan, J ASaxena, ASchillebeeckx, PSchumann, DSmith, A GSosnin, N VStamatopoulos, ATagliente, GTain, J LTarifeño-Saldivia, ATassan-Got, LValenta, SVariale, VVaz, PVentura, AVlastou, RWallner, AWarren, SWoods, P JWright, TŽugec, PMonte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark studyNuclear Physics - TheoryMonte Carlo (MC) simulations are an essential tool to determine fundamental features of a neutron beam, such as the neutron flux or the γ-ray background, that sometimes can not be measured or at least not in every position or energy range. Until recently, the most widely used MC codes in this field had been MCNPX and FLUKA. However, the Geant4 toolkit has also become a competitive code for the transport of neutrons after the development of the native Geant4 format for neutron data libraries, G4NDL. In this context, we present the Geant4 simulations of the neutron spallation target of the n_TOF facility at CERN, done with version 10.1.1 of the toolkit. The first goal was the validation of the intra-nuclear cascade models implemented in the code using, as benchmark, the characteristics of the neutron beam measured at the first experimental area (EAR1), especially the neutron flux and energy distribution, and the time distribution of neutrons of equal kinetic energy, the so-called Resolution Function. The second goal was the development of a Monte Carlo tool aimed to provide useful calculations for both the analysis and planning of the upcoming measurements at the new experimental area (EAR2) of the facility.oai:inspirehep.net:16690872017
spellingShingle Nuclear Physics - Theory
Lerendegui-Marco, J
Cortés-Giraldo, M A
Guerrero, C
Quesada, J M
Lo Meo, S
Massimi, C
Barbagallo, M
Colonna, N
Mancussi, D
Mingrone, F
Sabaté-Gilarte, M
Vannini, G
Vlachoudis, V
Aberle, O
Andrzejewski, J
Audouin, L
Bacak, M
Balibrea, J
Bečvář, F
Berthoumieux, E
Billowes, J
Bosnar, D
Brown, A
Caamaño, M
Calviño, F
Calviani, M
Cano-Ott, D
Cardella, R
Casanovas, A
Cerutti, F
Chen, Y H
Chiaveri, E
Cortés, G
Cosentino, L
Damone, L A
Diakaki, M
Domingo-Pardo, C
Dressler, R
Dupont, E
Durán, I
Fernández-Domínguez, B
Ferrari, A
Ferreira, P
Finocchiaro, P
Göbel, K
Gómez-Hornillos, M B
García, A R
Gawlik, A
Gilardoni, S
Glodariu, T
Gonçalves, I F
González, E
Griesmayer, E
Gunsing, F
Harada, H
Heinitz, S
Heyse, J
Jenkins, D G
Jericha, E
Käppeler, F
Kadi, Y
Kalamara, A
Kavrigin, P
Kimura, A
Kivel, N
Kokkoris, M
Krtička, M
Kurtulgil, D
Leal-Cidoncha, E
Lederer, C
Leeb, H
Lonsdale, S J
Macina, D
Marganiec, J
Martínez, T
Masi, A
Mastinu, P
Mastromarco, M
Maugeri, E A
Mazzone, A
Mendoza, E
Mengoni, A
Milazzo, P M
Musumarra, A
Negret, A
Nolte, R
Oprea, A
Patronis, N
Pavlik, A
Perkowski, J
Porras, I
Praena, J
Radeck, D
Rauscher, T
Reifarth, R
Rout, P C
Rubbia, C
Ryan, J A
Saxena, A
Schillebeeckx, P
Schumann, D
Smith, A G
Sosnin, N V
Stamatopoulos, A
Tagliente, G
Tain, J L
Tarifeño-Saldivia, A
Tassan-Got, L
Valenta, S
Variale, V
Vaz, P
Ventura, A
Vlastou, R
Wallner, A
Warren, S
Woods, P J
Wright, T
Žugec, P
Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study
title Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study
title_full Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study
title_fullStr Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study
title_full_unstemmed Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study
title_short Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study
title_sort monte carlo simulations of the n_tof lead spallation target with the geant4 toolkit: a benchmark study
topic Nuclear Physics - Theory
url https://dx.doi.org/10.1051/epjconf/201714603030
http://cds.cern.ch/record/2315303
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AT rubbiac montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT ryanja montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT saxenaa montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT schillebeeckxp montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT schumannd montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT smithag montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT sosninnv montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT stamatopoulosa montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT taglienteg montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT tainjl montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT tarifenosaldiviaa montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT tassangotl montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT valentas montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT varialev montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT vazp montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT venturaa montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT vlastour montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT wallnera montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT warrens montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT woodspj montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT wrightt montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy
AT zugecp montecarlosimulationsofthentofleadspallationtargetwiththegeant4toolkitabenchmarkstudy