{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:M55RCBNLWQZJ2BUDSXZ2LHM2V5","short_pith_number":"pith:M55RCBNL","schema_version":"1.0","canonical_sha256":"677b1105abb4329d068395f3a59d9aaf657a49fa1ec87f8c9935cf93c2cd9021","source":{"kind":"arxiv","id":"1608.01180","version":1},"attestation_state":"computed","paper":{"title":"FastDIRC: a fast Monte Carlo and reconstruction algorithm for DIRC detectors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex","nucl-ex","physics.ins-det"],"primary_cat":"physics.data-an","authors_text":"John Hardin, Mike Williams","submitted_at":"2016-08-02T19:24:27Z","abstract_excerpt":"FastDIRC is a novel fast Monte Carlo and reconstruction algorithm for DIRC detectors. A DIRC employs rectangular fused-silica bars both as Cherenkov radiators and as light guides. Cherenkov-photon imaging and time-of-propagation information are utilized by a DIRC to identify charged particles. GEANT-based DIRC Monte Carlo simulations are extremely CPU intensive. The FastDIRC algorithm permits fully simulating a DIRC detector more than 10000 times faster than using GEANT. This facilitates designing a DIRC-reconstruction algorithm that improves the Cherenkov-angle resolution of a DIRC detector b"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1608.01180","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2016-08-02T19:24:27Z","cross_cats_sorted":["hep-ex","nucl-ex","physics.ins-det"],"title_canon_sha256":"4c1d05a22eb28ff5339c2e92d227a787ab3f55c6e0eb6c92aa57700fc4be134b","abstract_canon_sha256":"c2b04d22330e843cefbdac95885ce35b1c8307dc8d9b0e2b7f25f2b25251df04"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:00:33.945970Z","signature_b64":"+pKHblXojk0XheNtXwGLQ9pJIS9pIdcqgK+/qW3sjmCFEOYFsm37hAj8RG5GTimX8jixeu6u4dcX9bQ3gAQsCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"677b1105abb4329d068395f3a59d9aaf657a49fa1ec87f8c9935cf93c2cd9021","last_reissued_at":"2026-05-18T01:00:33.945279Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:00:33.945279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FastDIRC: a fast Monte Carlo and reconstruction algorithm for DIRC detectors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex","nucl-ex","physics.ins-det"],"primary_cat":"physics.data-an","authors_text":"John Hardin, Mike Williams","submitted_at":"2016-08-02T19:24:27Z","abstract_excerpt":"FastDIRC is a novel fast Monte Carlo and reconstruction algorithm for DIRC detectors. A DIRC employs rectangular fused-silica bars both as Cherenkov radiators and as light guides. Cherenkov-photon imaging and time-of-propagation information are utilized by a DIRC to identify charged particles. GEANT-based DIRC Monte Carlo simulations are extremely CPU intensive. The FastDIRC algorithm permits fully simulating a DIRC detector more than 10000 times faster than using GEANT. This facilitates designing a DIRC-reconstruction algorithm that improves the Cherenkov-angle resolution of a DIRC detector b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.01180","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1608.01180","created_at":"2026-05-18T01:00:33.945388+00:00"},{"alias_kind":"arxiv_version","alias_value":"1608.01180v1","created_at":"2026-05-18T01:00:33.945388+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.01180","created_at":"2026-05-18T01:00:33.945388+00:00"},{"alias_kind":"pith_short_12","alias_value":"M55RCBNLWQZJ","created_at":"2026-05-18T12:30:29.479603+00:00"},{"alias_kind":"pith_short_16","alias_value":"M55RCBNLWQZJ2BUD","created_at":"2026-05-18T12:30:29.479603+00:00"},{"alias_kind":"pith_short_8","alias_value":"M55RCBNL","created_at":"2026-05-18T12:30:29.479603+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/M55RCBNLWQZJ2BUDSXZ2LHM2V5","json":"https://pith.science/pith/M55RCBNLWQZJ2BUDSXZ2LHM2V5.json","graph_json":"https://pith.science/api/pith-number/M55RCBNLWQZJ2BUDSXZ2LHM2V5/graph.json","events_json":"https://pith.science/api/pith-number/M55RCBNLWQZJ2BUDSXZ2LHM2V5/events.json","paper":"https://pith.science/paper/M55RCBNL"},"agent_actions":{"view_html":"https://pith.science/pith/M55RCBNLWQZJ2BUDSXZ2LHM2V5","download_json":"https://pith.science/pith/M55RCBNLWQZJ2BUDSXZ2LHM2V5.json","view_paper":"https://pith.science/paper/M55RCBNL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1608.01180&json=true","fetch_graph":"https://pith.science/api/pith-number/M55RCBNLWQZJ2BUDSXZ2LHM2V5/graph.json","fetch_events":"https://pith.science/api/pith-number/M55RCBNLWQZJ2BUDSXZ2LHM2V5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M55RCBNLWQZJ2BUDSXZ2LHM2V5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M55RCBNLWQZJ2BUDSXZ2LHM2V5/action/storage_attestation","attest_author":"https://pith.science/pith/M55RCBNLWQZJ2BUDSXZ2LHM2V5/action/author_attestation","sign_citation":"https://pith.science/pith/M55RCBNLWQZJ2BUDSXZ2LHM2V5/action/citation_signature","submit_replication":"https://pith.science/pith/M55RCBNLWQZJ2BUDSXZ2LHM2V5/action/replication_record"}},"created_at":"2026-05-18T01:00:33.945388+00:00","updated_at":"2026-05-18T01:00:33.945388+00:00"}