{"paper":{"title":"Data processing model for the CDF experiment","license":"","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.ins-det","authors_text":"A.C. Kraan, A. Robson, A.V. Kotwal, A.W. Chan, B. Cooper, B. Jayatilaka, B. Stelzer, D. Benjamin, E. Vataga, I.V. Mandrichenko, J. Antos, J. Syu, K. Genser, K. Hatakeyama, M. Babik, M. Coca, M. Siket, P.K. Teng, P. Murat, P. Savard, R. Lysak, S.A. Wolbers, S. Cabrera, S.C. Timm, S. Farrington, S. Hou, S.Y. Jun, T.L. Hsieh, T. Tomura, Y.C. Chen","submitted_at":"2006-06-05T16:37:59Z","abstract_excerpt":"The data processing model for the CDF experiment is described. Data processing reconstructs events from parallel data streams taken with different combinations of physics event triggers and further splits the events into datasets of specialized physics datasets. The design of the processing control system faces strict requirements on bookkeeping records, which trace the status of data files and event contents during processing and storage. The computing architecture was updated to meet the mass data flow of the Run II data collection, recently upgraded to a maximum rate of 40 MByte/sec. The da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"physics/0606042","kind":"arxiv","version":2},"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"}