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Analysis of reactor burnup simulation uncertainties for antineutrino spectrum prediction

Fuente: arXiv

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Auteurs principaux:	Barresi, A., Borghesi, M., Cammi, A., Chiesa, D., Loi, L., Nastasi, M., Previtali, E., Sisti, M., Aiello, S., Andronico, G., Antonelli, V., Basilico, D., Beretta, M., Bergnoli, A., Brigatti, A., Brugnera, R., Bruno, R., Budano, A., Caccianiga, B., Cerrone, V., Caruso, R., Clementi, C., Dusini, S., Fabbri, A., Felici, G., Ferraro, F., Garfagnini, A., Giammarchi, M. G., Giugice, N., Gavrikov, A., Grassi, M., Guizzetti, R. M., Guardone, N., Jelmini, B., Landini, C., Lippi, I., Loffredo, S., Lombardi, P., Lombardo, C., Mantovani, F., Mari, S. M., Martini, A., Miramonti, L., Montuschi, M., Orestano, D., Ortica, F., Paoloni, A., Percalli, E., Petrucci, F., Ranucci, G., Re, A. C., Redchuck, M., Ricci, B., Romani, A., Saggese, P., Sava, G., Serafini, A., Sirignano, C., Stanco, L., Farilla, E. Stanescu, Strati, V., Torri, M. D. C., Triossi, A., Tuvè, C., Venettacci, C., Verde, G., Votano, L.
Format:	Preprint
Publié:	2023
Sujets:	Instrumentation and Detectors
Accès en ligne:	Acceder al recurso
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_version_	1866917822613946368
author	Barresi, A. Borghesi, M. Cammi, A. Chiesa, D. Loi, L. Nastasi, M. Previtali, E. Sisti, M. Aiello, S. Andronico, G. Antonelli, V. Basilico, D. Beretta, M. Bergnoli, A. Brigatti, A. Brugnera, R. Bruno, R. Budano, A. Caccianiga, B. Cerrone, V. Caruso, R. Clementi, C. Dusini, S. Fabbri, A. Felici, G. Ferraro, F. Garfagnini, A. Giammarchi, M. G. Giugice, N. Gavrikov, A. Grassi, M. Guizzetti, R. M. Guardone, N. Jelmini, B. Landini, C. Lippi, I. Loffredo, S. Lombardi, P. Lombardo, C. Mantovani, F. Mari, S. M. Martini, A. Miramonti, L. Montuschi, M. Orestano, D. Ortica, F. Paoloni, A. Percalli, E. Petrucci, F. Ranucci, G. Re, A. C. Redchuck, M. Ricci, B. Romani, A. Saggese, P. Sava, G. Serafini, A. Sirignano, C. Stanco, L. Farilla, E. Stanescu Strati, V. Torri, M. D. C. Triossi, A. Tuvè, C. Venettacci, C. Verde, G. Votano, L.
author_facet	Barresi, A. Borghesi, M. Cammi, A. Chiesa, D. Loi, L. Nastasi, M. Previtali, E. Sisti, M. Aiello, S. Andronico, G. Antonelli, V. Basilico, D. Beretta, M. Bergnoli, A. Brigatti, A. Brugnera, R. Bruno, R. Budano, A. Caccianiga, B. Cerrone, V. Caruso, R. Clementi, C. Dusini, S. Fabbri, A. Felici, G. Ferraro, F. Garfagnini, A. Giammarchi, M. G. Giugice, N. Gavrikov, A. Grassi, M. Guizzetti, R. M. Guardone, N. Jelmini, B. Landini, C. Lippi, I. Loffredo, S. Lombardi, P. Lombardo, C. Mantovani, F. Mari, S. M. Martini, A. Miramonti, L. Montuschi, M. Orestano, D. Ortica, F. Paoloni, A. Percalli, E. Petrucci, F. Ranucci, G. Re, A. C. Redchuck, M. Ricci, B. Romani, A. Saggese, P. Sava, G. Serafini, A. Sirignano, C. Stanco, L. Farilla, E. Stanescu Strati, V. Torri, M. D. C. Triossi, A. Tuvè, C. Venettacci, C. Verde, G. Votano, L.
contents	Nuclear reactors are a source of electron antineutrinos due to the presence of unstable fission products that undergo $β^-$ decay. They will be exploited by the JUNO experiment to determine the neutrino mass ordering and to get very precise measurements of the neutrino oscillation parameters. This requires the reactor antineutrino spectrum to be characterized as precisely as possible both through high resolution measurements, as foreseen by the TAO experiment, and detailed simulation models. In this paper we present a benchmark analysis utilizing Serpent Monte Carlo simulations in comparison with real pressurized water reactor spent fuel data. Our objective is to study the accuracy of fission fraction predictions as a function of different reactor simulation approximations. Then, utilizing the BetaShape software, we construct fissile antineutrino spectra using the summation method, thereby assessing the influence of simulation uncertainties on reactor antineutrino spectrum.
format	Preprint
id	arxiv_https___arxiv_org_abs_2311_12540
institution	arXiv
publishDate	2023
record_format	arxiv
spellingShingle	Analysis of reactor burnup simulation uncertainties for antineutrino spectrum prediction Barresi, A. Borghesi, M. Cammi, A. Chiesa, D. Loi, L. Nastasi, M. Previtali, E. Sisti, M. Aiello, S. Andronico, G. Antonelli, V. Basilico, D. Beretta, M. Bergnoli, A. Brigatti, A. Brugnera, R. Bruno, R. Budano, A. Caccianiga, B. Cerrone, V. Caruso, R. Clementi, C. Dusini, S. Fabbri, A. Felici, G. Ferraro, F. Garfagnini, A. Giammarchi, M. G. Giugice, N. Gavrikov, A. Grassi, M. Guizzetti, R. M. Guardone, N. Jelmini, B. Landini, C. Lippi, I. Loffredo, S. Lombardi, P. Lombardo, C. Mantovani, F. Mari, S. M. Martini, A. Miramonti, L. Montuschi, M. Orestano, D. Ortica, F. Paoloni, A. Percalli, E. Petrucci, F. Ranucci, G. Re, A. C. Redchuck, M. Ricci, B. Romani, A. Saggese, P. Sava, G. Serafini, A. Sirignano, C. Stanco, L. Farilla, E. Stanescu Strati, V. Torri, M. D. C. Triossi, A. Tuvè, C. Venettacci, C. Verde, G. Votano, L. Instrumentation and Detectors Nuclear reactors are a source of electron antineutrinos due to the presence of unstable fission products that undergo $β^-$ decay. They will be exploited by the JUNO experiment to determine the neutrino mass ordering and to get very precise measurements of the neutrino oscillation parameters. This requires the reactor antineutrino spectrum to be characterized as precisely as possible both through high resolution measurements, as foreseen by the TAO experiment, and detailed simulation models. In this paper we present a benchmark analysis utilizing Serpent Monte Carlo simulations in comparison with real pressurized water reactor spent fuel data. Our objective is to study the accuracy of fission fraction predictions as a function of different reactor simulation approximations. Then, utilizing the BetaShape software, we construct fissile antineutrino spectra using the summation method, thereby assessing the influence of simulation uncertainties on reactor antineutrino spectrum.
title	Analysis of reactor burnup simulation uncertainties for antineutrino spectrum prediction
topic	Instrumentation and Detectors
url	https://arxiv.org/abs/2311.12540