{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:VXP532E4DRVL7FCR74QTM533HG","short_pith_number":"pith:VXP532E4","schema_version":"1.0","canonical_sha256":"addfdde89c1c6abf9451ff2136777b39a96f85d0b8a93ff54b6caf675cc731a2","source":{"kind":"arxiv","id":"1801.07124","version":1},"attestation_state":"computed","paper":{"title":"DECal, a Python tool for the efficiency calculation of thermal neutron detectors based on thin-film converters","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"physics.comp-ph","authors_text":"\\'Alvaro Carmona Basa\\~nez, Francesco Piscitelli, Kalliopi Kanaki","submitted_at":"2018-01-22T14:37:37Z","abstract_excerpt":"The Detector Efficiency Calculator (DECal) is a series of Python functions and tools designed to analytically calculate, visualise and optimise the detection efficiency of thermal neutron detectors, which are based on thin-film converters. The implementation presented in this article concerns 10B-based detectors in particular. The code can be run via a graphical user interface, as well as via the command line. The source code is openly available to interested users via a GitHub repository."},"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":"1801.07124","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.comp-ph","submitted_at":"2018-01-22T14:37:37Z","cross_cats_sorted":["physics.ins-det"],"title_canon_sha256":"0b9c402e78995a733bfaf151a497f296aaf8a8a9f2dc5374b1f16daf4938b72d","abstract_canon_sha256":"dbfc7afef8a2a1114cfc0b3ba63c76fa24786c1246c4040f8c47cbaa2dcb45d2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:22.178794Z","signature_b64":"HWiGq9jFQNMS6RF5+gDr3nj9VJ9cjUAIUJ1EpoFv2Mb3EVcVePlKz323BljIHKX2G8WfvasGZ4v7w13FZvcaAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"addfdde89c1c6abf9451ff2136777b39a96f85d0b8a93ff54b6caf675cc731a2","last_reissued_at":"2026-05-18T00:25:22.178225Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:22.178225Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DECal, a Python tool for the efficiency calculation of thermal neutron detectors based on thin-film converters","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"physics.comp-ph","authors_text":"\\'Alvaro Carmona Basa\\~nez, Francesco Piscitelli, Kalliopi Kanaki","submitted_at":"2018-01-22T14:37:37Z","abstract_excerpt":"The Detector Efficiency Calculator (DECal) is a series of Python functions and tools designed to analytically calculate, visualise and optimise the detection efficiency of thermal neutron detectors, which are based on thin-film converters. The implementation presented in this article concerns 10B-based detectors in particular. The code can be run via a graphical user interface, as well as via the command line. The source code is openly available to interested users via a GitHub repository."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.07124","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":"1801.07124","created_at":"2026-05-18T00:25:22.178335+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.07124v1","created_at":"2026-05-18T00:25:22.178335+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.07124","created_at":"2026-05-18T00:25:22.178335+00:00"},{"alias_kind":"pith_short_12","alias_value":"VXP532E4DRVL","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_16","alias_value":"VXP532E4DRVL7FCR","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_8","alias_value":"VXP532E4","created_at":"2026-05-18T12:32:59.047623+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/VXP532E4DRVL7FCR74QTM533HG","json":"https://pith.science/pith/VXP532E4DRVL7FCR74QTM533HG.json","graph_json":"https://pith.science/api/pith-number/VXP532E4DRVL7FCR74QTM533HG/graph.json","events_json":"https://pith.science/api/pith-number/VXP532E4DRVL7FCR74QTM533HG/events.json","paper":"https://pith.science/paper/VXP532E4"},"agent_actions":{"view_html":"https://pith.science/pith/VXP532E4DRVL7FCR74QTM533HG","download_json":"https://pith.science/pith/VXP532E4DRVL7FCR74QTM533HG.json","view_paper":"https://pith.science/paper/VXP532E4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.07124&json=true","fetch_graph":"https://pith.science/api/pith-number/VXP532E4DRVL7FCR74QTM533HG/graph.json","fetch_events":"https://pith.science/api/pith-number/VXP532E4DRVL7FCR74QTM533HG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VXP532E4DRVL7FCR74QTM533HG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VXP532E4DRVL7FCR74QTM533HG/action/storage_attestation","attest_author":"https://pith.science/pith/VXP532E4DRVL7FCR74QTM533HG/action/author_attestation","sign_citation":"https://pith.science/pith/VXP532E4DRVL7FCR74QTM533HG/action/citation_signature","submit_replication":"https://pith.science/pith/VXP532E4DRVL7FCR74QTM533HG/action/replication_record"}},"created_at":"2026-05-18T00:25:22.178335+00:00","updated_at":"2026-05-18T00:25:22.178335+00:00"}