{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:EAVG5LQZ35DVHYR63LDFVBMSHS","short_pith_number":"pith:EAVG5LQZ","schema_version":"1.0","canonical_sha256":"202a6eae19df4753e23edac65a85923ca1d47f231fb93432d3ba179e088725f2","source":{"kind":"arxiv","id":"2007.09108","version":2},"attestation_state":"computed","paper":{"title":"Rapid Parameter Estimation of Gravitational Waves from Binary Neutron Star Coalescence using Focused Reduced Order Quadrature","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"gr-qc","authors_text":"Soichiro Morisaki, Vivien Raymond","submitted_at":"2020-07-17T16:35:29Z","abstract_excerpt":"Rapid parameter estimation of gravitational waves from binary neutron star coalescence, in particular accurate sky localisation in minutes after the initial detection stage, is crucial for the success of multi-messenger observations. One of the techniques to speed up the parameter estimation, which has been applied for the production analysis of the LIGO-Virgo collaboration, is reduced order quadrature (ROQ). While it speeds up parameter estimation significantly, the time required is still on the order of hours. Focusing on the fact that the parameter-estimation follow-up can be tuned with the"},"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":"2007.09108","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"gr-qc","submitted_at":"2020-07-17T16:35:29Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"b70f6ba6b8e37945ffe975e1efc843aa7826d70231e2f722488fbac0424f319e","abstract_canon_sha256":"40fd0e4ac0fe4a58528e5356089c7f285b157d22d3d781a5a9db124f66f80c40"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:25:20.576065Z","signature_b64":"ampinGogadnZUAVuLwGP2AAx+AaeRgGdV2Xc3ej2biKbxllVrtZRSkepb4OkTr2xIoh88qweqQrZiiHz+EWYCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"202a6eae19df4753e23edac65a85923ca1d47f231fb93432d3ba179e088725f2","last_reissued_at":"2026-07-05T02:25:20.575580Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:25:20.575580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rapid Parameter Estimation of Gravitational Waves from Binary Neutron Star Coalescence using Focused Reduced Order Quadrature","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"gr-qc","authors_text":"Soichiro Morisaki, Vivien Raymond","submitted_at":"2020-07-17T16:35:29Z","abstract_excerpt":"Rapid parameter estimation of gravitational waves from binary neutron star coalescence, in particular accurate sky localisation in minutes after the initial detection stage, is crucial for the success of multi-messenger observations. One of the techniques to speed up the parameter estimation, which has been applied for the production analysis of the LIGO-Virgo collaboration, is reduced order quadrature (ROQ). While it speeds up parameter estimation significantly, the time required is still on the order of hours. Focusing on the fact that the parameter-estimation follow-up can be tuned with the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.09108","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2007.09108/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2007.09108","created_at":"2026-07-05T02:25:20.575637+00:00"},{"alias_kind":"arxiv_version","alias_value":"2007.09108v2","created_at":"2026-07-05T02:25:20.575637+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.09108","created_at":"2026-07-05T02:25:20.575637+00:00"},{"alias_kind":"pith_short_12","alias_value":"EAVG5LQZ35DV","created_at":"2026-07-05T02:25:20.575637+00:00"},{"alias_kind":"pith_short_16","alias_value":"EAVG5LQZ35DVHYR6","created_at":"2026-07-05T02:25:20.575637+00:00"},{"alias_kind":"pith_short_8","alias_value":"EAVG5LQZ","created_at":"2026-07-05T02:25:20.575637+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2506.06497","citing_title":"New Methods for Offline GstLAL Analyses","ref_index":58,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EAVG5LQZ35DVHYR63LDFVBMSHS","json":"https://pith.science/pith/EAVG5LQZ35DVHYR63LDFVBMSHS.json","graph_json":"https://pith.science/api/pith-number/EAVG5LQZ35DVHYR63LDFVBMSHS/graph.json","events_json":"https://pith.science/api/pith-number/EAVG5LQZ35DVHYR63LDFVBMSHS/events.json","paper":"https://pith.science/paper/EAVG5LQZ"},"agent_actions":{"view_html":"https://pith.science/pith/EAVG5LQZ35DVHYR63LDFVBMSHS","download_json":"https://pith.science/pith/EAVG5LQZ35DVHYR63LDFVBMSHS.json","view_paper":"https://pith.science/paper/EAVG5LQZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2007.09108&json=true","fetch_graph":"https://pith.science/api/pith-number/EAVG5LQZ35DVHYR63LDFVBMSHS/graph.json","fetch_events":"https://pith.science/api/pith-number/EAVG5LQZ35DVHYR63LDFVBMSHS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EAVG5LQZ35DVHYR63LDFVBMSHS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EAVG5LQZ35DVHYR63LDFVBMSHS/action/storage_attestation","attest_author":"https://pith.science/pith/EAVG5LQZ35DVHYR63LDFVBMSHS/action/author_attestation","sign_citation":"https://pith.science/pith/EAVG5LQZ35DVHYR63LDFVBMSHS/action/citation_signature","submit_replication":"https://pith.science/pith/EAVG5LQZ35DVHYR63LDFVBMSHS/action/replication_record"}},"created_at":"2026-07-05T02:25:20.575637+00:00","updated_at":"2026-07-05T02:25:20.575637+00:00"}