{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:DJ6NECTCC3IDDZNKPMF6D24GA3","short_pith_number":"pith:DJ6NECTC","schema_version":"1.0","canonical_sha256":"1a7cd20a6216d031e5aa7b0be1eb8606c51ea675748f4ebd7e4118b64dd5f1bc","source":{"kind":"arxiv","id":"1709.02421","version":1},"attestation_state":"computed","paper":{"title":"A classifier for gravitational-wave inspiral signals in non-ideal single-detector data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["gr-qc"],"primary_cat":"astro-ph.IM","authors_text":"Shasvath J. Kapadia, Thomas Dent, Tito Dal Canton","submitted_at":"2017-09-07T19:34:44Z","abstract_excerpt":"We describe a multivariate classifier for candidate events in a templated search for gravitational-wave (GW) inspiral signals from neutron-star--black-hole (NS-BH) binaries, in data from ground-based detectors where sensitivity is limited by non-Gaussian noise transients. The standard signal-to-noise ratio (SNR) and chi-squared test for inspiral searches use only properties of a single matched filter at the time of an event; instead, we propose a classifier using features derived from a bank of inspiral templates around the time of each event, and also from a search using approximate sine-Gaus"},"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":"1709.02421","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-09-07T19:34:44Z","cross_cats_sorted":["gr-qc"],"title_canon_sha256":"5eb5e79878e34d7220bbfa8885820c73d1cb2a5c87c3e7e6aef63e5510d4c974","abstract_canon_sha256":"d7b82decee649b11af4ae1a5635caa218c125771b62c4c5120b7d861e5c1fe42"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:54.483669Z","signature_b64":"/7+TYKAGV+j/n8rJYkwUsBdLOnSPbNWKUSsuj0OgugCSEB3QGNxU/TtnWUmJQzKtvEYcmsQO8ZP738teh3A3Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a7cd20a6216d031e5aa7b0be1eb8606c51ea675748f4ebd7e4118b64dd5f1bc","last_reissued_at":"2026-05-18T00:29:54.482999Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:54.482999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A classifier for gravitational-wave inspiral signals in non-ideal single-detector data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["gr-qc"],"primary_cat":"astro-ph.IM","authors_text":"Shasvath J. Kapadia, Thomas Dent, Tito Dal Canton","submitted_at":"2017-09-07T19:34:44Z","abstract_excerpt":"We describe a multivariate classifier for candidate events in a templated search for gravitational-wave (GW) inspiral signals from neutron-star--black-hole (NS-BH) binaries, in data from ground-based detectors where sensitivity is limited by non-Gaussian noise transients. The standard signal-to-noise ratio (SNR) and chi-squared test for inspiral searches use only properties of a single matched filter at the time of an event; instead, we propose a classifier using features derived from a bank of inspiral templates around the time of each event, and also from a search using approximate sine-Gaus"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.02421","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":"1709.02421","created_at":"2026-05-18T00:29:54.483116+00:00"},{"alias_kind":"arxiv_version","alias_value":"1709.02421v1","created_at":"2026-05-18T00:29:54.483116+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.02421","created_at":"2026-05-18T00:29:54.483116+00:00"},{"alias_kind":"pith_short_12","alias_value":"DJ6NECTCC3ID","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_16","alias_value":"DJ6NECTCC3IDDZNK","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_8","alias_value":"DJ6NECTC","created_at":"2026-05-18T12:31:10.602751+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/DJ6NECTCC3IDDZNKPMF6D24GA3","json":"https://pith.science/pith/DJ6NECTCC3IDDZNKPMF6D24GA3.json","graph_json":"https://pith.science/api/pith-number/DJ6NECTCC3IDDZNKPMF6D24GA3/graph.json","events_json":"https://pith.science/api/pith-number/DJ6NECTCC3IDDZNKPMF6D24GA3/events.json","paper":"https://pith.science/paper/DJ6NECTC"},"agent_actions":{"view_html":"https://pith.science/pith/DJ6NECTCC3IDDZNKPMF6D24GA3","download_json":"https://pith.science/pith/DJ6NECTCC3IDDZNKPMF6D24GA3.json","view_paper":"https://pith.science/paper/DJ6NECTC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1709.02421&json=true","fetch_graph":"https://pith.science/api/pith-number/DJ6NECTCC3IDDZNKPMF6D24GA3/graph.json","fetch_events":"https://pith.science/api/pith-number/DJ6NECTCC3IDDZNKPMF6D24GA3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DJ6NECTCC3IDDZNKPMF6D24GA3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DJ6NECTCC3IDDZNKPMF6D24GA3/action/storage_attestation","attest_author":"https://pith.science/pith/DJ6NECTCC3IDDZNKPMF6D24GA3/action/author_attestation","sign_citation":"https://pith.science/pith/DJ6NECTCC3IDDZNKPMF6D24GA3/action/citation_signature","submit_replication":"https://pith.science/pith/DJ6NECTCC3IDDZNKPMF6D24GA3/action/replication_record"}},"created_at":"2026-05-18T00:29:54.483116+00:00","updated_at":"2026-05-18T00:29:54.483116+00:00"}