1. GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment
- Author
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Monica Sisti, Agnese Giaz, Stefano Maria Mari, A. Brigatti, Severino Angelo Maria Bussino, C. Sirignano, Vito Antonelli, F. Dal Corso, D. Pedretti, Giuseppe Verde, R. Brugnera, Roberto Isocrate, G. Galet, Ivano Lippi, M. Montuschi, Daniele Sampietro, G. Salamanna, Massimiliano Nastasi, Marco Grassi, Antonio Budano, Antonio Insolia, Cristina Martellini, Andrey Formozov, Xuefeng Ding, Alessandra Re, Marco Giammarchi, Fabio Mantovani, G. Fiorentini, Enrico Bernieri, E. Meroni, Filippo Marini, Fatma Sawy, M. Buscemi, D. Lo Presti, Alessandro Paoloni, Mauro Mezzetto, Marica Baldoncini, Fausto Ortica, Yury Malyshkin, Daniele Corti, Virginia Strati, Mirko Reguzzoni, Salvatore Monforte, Giulio Settanta, Luca Stanco, Giuseppe Andronico, Piero Poli, Andrea Fabbri, Gioacchino Ranucci, Davide Chiesa, A. Garfagnini, Marco Bellato, S. Dusini, Fabio Longhitano, Aldo Romani, R. Pompilio, M. Spinetti, R. Ford, P. Saggese, Lino Miramonti, Ivan Callegari, Paolo Lombardi, N. Pelliccia, Lorenzo Rossi, S. Parmeggiano, Ezio Previtali, Barbara Ricci, Rossella Caruso, Lucia Votano, Institut des Sciences de la Terre (ISTerre), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut national des sciences de l'Univers (INSU - CNRS)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Joseph Fourier - Grenoble 1 (UJF), AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Reguzzoni, M., Rossi, L., Baldoncini, M., Callegari, I., Poli, P., Sampietro, D., Strati, V., Mantovani, F., Andronico, G., Antonelli, V., Bellato, M., Bernieri, E., Brigatti, A., Brugnera, R., Budano, A., Buscemi, M., Bussino, S., Caruso, R., Chiesa, D., Corti, D., Dal Corso, F., Ding, X. F., Dusini, S., Fabbri, A., Fiorentini, G., Ford, R., Formozov, A., Galet, G., Garfagnini, A., Giammarchi, M., Giaz, A., Grassi, M., Insolia, A., Isocrate, R., Lippi, I., Longhitano, F., Lo Presti, D., Lombardi, P., Malyshkin, Y., Marini, F., Mari, S. M., Martellini, C., Meroni, E., Mezzetto, M., Miramonti, L., Monforte, S., Montuschi, M., Nastasi, M., Ortica, F., Paoloni, A., Parmeggiano, S., Pedretti, D., Pelliccia, N., Pompilio, R., Previtali, E., Ranucci, G., Re, A. C., Ricci, B., Romani, A., Saggese, P., Salamanna, G., Sawy, F. H., Settanta, G., Sisti, M., Sirignano, C., Spinetti, M., Stanco, L., Verde, G., Votano, L., Centre National de la Recherche Scientifique (CNRS)-PRES Université de Grenoble-Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-PRES Université de Grenoble-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Reguzzoni, M, Rossi, L, Baldoncini, M, Callegari, I, Poli, P, Sampietro, D, Strati, V, Mantovani, F, Andronico, G, Antonelli, V, Bellato, M, Bernieri, E, Brigatti, A, Brugnera, R, Budano, A, Buscemi, M, Bussino, S, Caruso, R, Chiesa, D, Corti, D, Dal Corso, F, Ding, X, Dusini, S, Fabbri, A, Fiorentini, G, Ford, R, Formozov, A, Galet, G, Garfagnini, A, Giammarchi, M, Giaz, A, Grassi, M, Insolia, A, Isocrate, R, Lippi, I, Longhitano, F, Lo Presti, D, Lombardi, P, Malyshkin, Y, Marini, F, Mari, S, Martellini, C, Meroni, E, Mezzetto, M, Miramonti, L, Monforte, S, Montuschi, M, Nastasi, M, Ortica, F, Paoloni, A, Parmeggiano, S, Pedretti, D, Pelliccia, N, Pompilio, R, Previtali, E, Ranucci, G, Re, A, Ricci, B, Romani, A, Saggese, P, Salamanna, G, Sawy, F, Settanta, G, Sisti, M, Sirignano, C, Spinetti, M, Stanco, L, Verde, G, Votano, L, Reguzzoni M., Rossi L., Baldoncini M., Callegari I., Poli P., Sampietro D., Strati V., Mantovani F., Andronico G., Antonelli V., Bellato M., Bernieri E., Brigatti A., Brugnera R., Budano A., Buscemi M., Bussino S., Caruso R., Chiesa D., Corti D., Dal Corso F., Ding X.F., Dusini S., Fabbri A., Fiorentini G., Ford R., Formozov A., Galet G., Garfagnini A., Giammarchi M., Giaz A., Grassi M., Insolia A., Isocrate R., Lippi I., Longhitano F., Lo Presti D., Lombardi P., Malyshkin Y., Marini F., Mari S.M., Martellini C., Meroni E., Mezzetto M., Miramonti L., Monforte S., Montuschi M., Nastasi M., Ortica F., Paoloni A., Parmeggiano S., Pedretti D., Pelliccia N., Pompilio R., Previtali E., Ranucci G., Re A.C., Ricci B., Romani A., Saggese P., Salamanna G., Sawy F.H., Settanta G., Sisti M., Sirignano C., Spinetti M., Stanco L., Verde G., and Votano L. more...
- Subjects
010504 meteorology & atmospheric sciences ,Geoneutrino ,geophysical uncertaintie ,Inverse transform sampling ,FOS: Physical sciences ,01 natural sciences ,Bayesian method ,Upper, middle, and lower crust ,Standard deviation ,NO ,South China Block ,middle ,Physics - Geophysics ,Monte Carlo stochastic optimization ,GOCE data gravimetric inversion ,Geophysical uncertainties ,Geochemistry and Petrology ,Earth and Planetary Sciences (miscellaneous) ,geophysical uncertainties ,upper, middle, and lower crust ,Image resolution ,0105 earth and related environmental sciences ,Subdivision ,Jiangmen Underground Neutrino Observatory ,upper and middle and lower crust ,business.industry ,Settore FIS/01 - Fisica Sperimentale ,Crust ,upper ,Geodesy ,[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph] ,Geophysics (physics.geo-ph) ,and lower crust ,Depth sounding ,Geophysics ,13. Climate action ,Space and Planetary Science ,business ,Geology ,Bayesian method, geophysical uncertainties, GOCE data gravimetric inversion, Monte Carlo stochastic optimization, South China Block,upper and middle and lower crust - Abstract
Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. The inversion method allowed for integrating GOCE data with the a-priori information and regularization conditions through a Bayesian approach and a stochastic optimization. GIGJ fits the homogeneously distributed GOCE gravity data, characterized by high accuracy, with a ~1 mGal standard deviation of the residuals, compatible with the observation accuracy. Conversely to existing global models, GIGJ provides a site-specific subdivision of the crustal layers masses which uncertainties include estimation errors, associated to the gravimetric solution, and systematic uncertainties, related to the adoption of a fixed sedimentary layer. A consequence of this local rearrangement of the crustal layer thicknesses is a ~21% reduction and a ~24% increase of the middle and lower crust expected geoneutrino signal, respectively. Finally, the geophysical uncertainties of geoneutrino signals at JUNO produced by unitary uranium and thorium abundances distributed in the upper, middle and lower crust are reduced by 77%, 55% and 78%, respectively. The numerical model is available at http://www.fe.infn.it/u/radioactivity/GIGJ, Comment: 35 pages, 9 figures, 4 tables more...
- Published
- 2019
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