{"paper":{"title":"GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.geo-ph","authors_text":"A. Brigatti, A. Budano, A. C. Re, A. Fabbri, A. Formozov, A. Garfagnini, A. Giaz, A. Insolia, A. Paoloni, A. Romani, B. Ricci, C. Martellini, C. Sirignano, D. Chiesa, D. Corti, D. Lo Presti, D. Pedretti, D. Sampietro, E. Bernieri, E. Meroni, E. Previtali, F. Dal Corso, F. H. Sawy, F. Longhitano, F. Mantovani, F. Marini, F. Ortica, G. Andronico, G. Fiorentini, G. Galet, G. Ranucci, G. Salamanna, G. Settanta, G. Verde, I. Callegari, I. Lippi, L. Miramonti, L. Rossi, L. Stanco, L. Votano, M. Baldoncini, M. Bellato, M. Buscemi, M. Giammarchi, M. Grassi, M. Mezzetto, M. Montuschi, M. Nastasi, M. Reguzzoni, M. Sisti, M. Spinetti, N. Pelliccia, P. Lombardi, P. Poli, P. Saggese, R. Brugnera, R. Caruso, R. Ford, R. Isocrate, R. Pompilio, S. Bussino, S. Dusini, S. M. Mari, S. Monforte, S. Parmeggiano, V. Antonelli, V. Strati, X. F. Ding, Y. Malyshkin","submitted_at":"2019-01-07T17:55:05Z","abstract_excerpt":"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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.01945","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}