{"paper":{"title":"Multi-channel, multi-template event reconstruction for SuperCDMS data using machine learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"physics.ins-det","authors_text":"A.E. Robinson, A.E. Sharbaugh, A. Gevorgian, A.J. Biff, A.J. Mayer, A. Kubik, A.N. Villano, A. Pradeep, A. Roberts, A. Sattari, A. Simchony, A. Zaytsev, A. Zuniga, B.A. Hines, B.A. Young, B. Cabrera, B. Lichtenberga, B. Mohanty, B. Sadoulet, B. Sandoval, B. Serfass, B. von Krosigk, B. Zatschler, C. Bathurst, C. Cartaro, C. Hays, D. Alonso-Gonzalez, D.B. MacFarlane, D.G. Cerdeno, D. Mondal, D. Monteiro, D. Sadek, D.S. Pedrerosa, D. Toback, E. Fascione, E. Figueroa-Feliciano, E. Lopez Asamard, E. Michaud, E. Michielin, E. Tanner, E. Zhang, G. Godden, H. Coombes, H. Neog, H. Sun, I. Alkhatib, I. Ataee Langroudy, I. Saikia, J. Anczarski, J. Cooley, J. Golatkara, J. Hall, J.H. Chen, J. Leyva, J. Liu, J.L. Orrell, J.L. Ryan, J. Nelson, J. Sander, J.S. Mammo, J. Street, J. Viola, J. Winchell, K. Mickelson, K. Stifter, K.T. Kennard, L. Hsu, L. Pandey, L. Rosado, L. Zheng, M. Buchanan, M. Chaudhuri, M.D. Diamond, M.D. Osborne, M.E. Huber, M. Elwan, M.F. Albakry, M. Ghaith, M.H. Kelsey, M.J. Wilson, M.J. Zurowski, M.L. Di Vacri, M. Lee, M. Mirzakhani, M. Potts, M. Pyle, M. Rios, M. Stukel, N.A. Kurinsky, N. Chott, N. Mirabolfathi, N. Tenpas, O. Wen, P.C. McNamara, P. Cushman, P.K. Patel, P.L. Brink, P. Lukens, P. Sinervo, R.A. Cameron, R. Bhattacharyya, R. Bunker, R. Calkins, R. Chen, R. Cyna, R. Gualtieri, R. Lopez Noe, R. Mahapatra, R. Partridge, R. Podviianiuk, R. Soni, R.S. Shenoy, R.W. Schnee, S.A.S. Harms, S. Das, S. Dharani, S. Fallows, S.L. Franzen, S.M. Oser, S. Pandey, S.P. Sahoo, S.R. Golwala, S. Salehi, S.S. Poudel, S.T.D. Keller, S. Yellin, S. Zatschler, T. Aralis, T. Aramaki, T. Reynold, T. Saab, V. Iyer, V.K.S. Kashyap, W.L. Perry, W. Peng, W. Rau, Y. Liu, Y.-Y. Chang, Z. Hong, Z.J. Smith, Z. Kromer, Z. William","submitted_at":"2025-08-27T17:56:29Z","abstract_excerpt":"SuperCDMS SNOLAB uses kilogram-scale germanium and silicon detectors to search for dark matter. Each detector has Transition Edge Sensors (TESs) patterned on the top and bottom faces of a large crystal substrate, with the TESs electrically grouped into six phonon readout channels per face. Noise correlations are expected among a detector's readout channels, in part because the channels and their readout electronics are located in close proximity to one another. Moreover, owing to the large size of the detectors, energy deposits can produce vastly different phonon propagation patterns depending"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20090","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2508.20090/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"}