{"paper":{"title":"Novel event classification based on spectral analysis of scintillation waveforms in Double Chooz","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"physics.ins-det","authors_text":"A. Cabrera, A. Etenko, A. Givaudan, A. Hourlier, A. Meregaglia, A. Minotti, A. Onillon, A. Oralbaev, A. Stahl, A. Tonazzo, B. Lubsandorzhiev, B. Reinhold, B. Viaud, C. Buck, C. Jollet, C. Lane, C. Lastoria, C. Mariani, C. Palomares, C. Veyssiere, C. Wiebusch, D. Franco, D. Hellwig, D. Kryn, D. Lhuillier, D. Navas-Nicol\\'as, E. Blucher, E. Chauveau, E. Kemp, F. Suekane, F. Yermia, G. Mention, G. Pronost, G. Yang, H. Almazan, H. de Kerret, H. Furuta, H. G\\'omez, H. Lima, I. Bekman, I. Gil-Botella, I. Pepe, I. Stancu, J. Busenitz, J.C. dos Anjos, J. Haser, J.I. Crespo-Anad\\'on, J. Jochum, J. Maeda, J. Maricic, J.M. L\\'opez-Casta\\~no, J.M. LoSecco, J.V. Dawson, K. Kale, L. Bezrukov, L. Camilleri, L.F.F. Stokes, L.F.G. Gonzalez, L. Oberauer, M. Cerrada, M. Fallot, M. Goodman, M. Ishitsuka, M. Kaneda, M. Kuze, M. Lindner, M. Obolensky, M. Settimo, M. Skorokhvatov, M. Vivier, O. Corpace, P. Chimenti, P. Kampmann, P. Novella, P. Soldin, R. Milincic, R. Santorelli, R. Sharankova, S. Appel, S. Sch\\\"onert, S. Schoppmann, S. Sukhotin, S. Wagner, T. Abrah\\~ao, T. Brugi\\`ere, T. Hara, T.J.C. Bezerra, T. Kawasaki, T. Lachenmaier, T. Lasserre, T. Matsubara, T. Miletic, T. Sumiyoshi, V. Sibille, V. Sinev, Y. Sun, Z. Djurcic","submitted_at":"2017-10-11T21:53:53Z","abstract_excerpt":"Liquid scintillators are a common choice for neutrino physics experiments, but their capabilities to perform background rejection by scintillation pulse shape discrimination is generally limited in large detectors. This paper describes a novel approach for a pulse shape based event classification developed in the context of the Double Chooz reactor antineutrino experiment. Unlike previous implementations, this method uses the Fourier power spectra of the scintillation pulse shapes to obtain event-wise information. A classification variable built from spectral information was able to achieve an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.04315","kind":"arxiv","version":3},"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"}