{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:JR3ONOUWLJH3WVUW6ZLZYTBDPO","short_pith_number":"pith:JR3ONOUW","schema_version":"1.0","canonical_sha256":"4c76e6ba965a4fbb5696f6579c4c237ba3968075610032b06be190f12d7ae0d8","source":{"kind":"arxiv","id":"1310.2120","version":1},"attestation_state":"computed","paper":{"title":"TempoNest: A Bayesian approach to pulsar timing analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.IM","authors_text":"Farhan Feroz, Kejia Lee, Lindley Lentati, Michael P. Hobson, Paul Alexander, Rutger van Haasteren, Ryan M. Shannon","submitted_at":"2013-10-08T13:00:07Z","abstract_excerpt":"A new Bayesian software package for the analysis of pulsar timing data is presented in the form of TempoNest which allows for the robust determination of the non-linear pulsar timing solution simultaneously with a range of additional stochastic parameters. This includes both red spin noise and dispersion measure variations using either power law descriptions of the noise, or through a model-independent method that parameterises the power at individual frequencies in the signal. We use TempoNest to show that at noise levels representative of current datasets in the European Pulsar Timing Array "},"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":"1310.2120","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2013-10-08T13:00:07Z","cross_cats_sorted":["astro-ph.GA"],"title_canon_sha256":"f6bc222434d1bcdca302b67d2d85320845471a8f9c68666cdf25695d7fe98d1c","abstract_canon_sha256":"1e64919c0a48fcc82cf36ab79895af88887212cfa4fd563ffa9cb2f58649e76a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:37.449887Z","signature_b64":"QtcgK/ZzZm00JNjjeYLO6OsAS8wsHpM51XdXEDvxC+1SNqD1Yb3pFJGjpk4Qlvp+vo+NbURr2Yw1yAtUkrw+Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c76e6ba965a4fbb5696f6579c4c237ba3968075610032b06be190f12d7ae0d8","last_reissued_at":"2026-05-18T03:05:37.449032Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:37.449032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TempoNest: A Bayesian approach to pulsar timing analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.IM","authors_text":"Farhan Feroz, Kejia Lee, Lindley Lentati, Michael P. Hobson, Paul Alexander, Rutger van Haasteren, Ryan M. Shannon","submitted_at":"2013-10-08T13:00:07Z","abstract_excerpt":"A new Bayesian software package for the analysis of pulsar timing data is presented in the form of TempoNest which allows for the robust determination of the non-linear pulsar timing solution simultaneously with a range of additional stochastic parameters. This includes both red spin noise and dispersion measure variations using either power law descriptions of the noise, or through a model-independent method that parameterises the power at individual frequencies in the signal. We use TempoNest to show that at noise levels representative of current datasets in the European Pulsar Timing Array "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.2120","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":"1310.2120","created_at":"2026-05-18T03:05:37.449159+00:00"},{"alias_kind":"arxiv_version","alias_value":"1310.2120v1","created_at":"2026-05-18T03:05:37.449159+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.2120","created_at":"2026-05-18T03:05:37.449159+00:00"},{"alias_kind":"pith_short_12","alias_value":"JR3ONOUWLJH3","created_at":"2026-05-18T12:27:49.015174+00:00"},{"alias_kind":"pith_short_16","alias_value":"JR3ONOUWLJH3WVUW","created_at":"2026-05-18T12:27:49.015174+00:00"},{"alias_kind":"pith_short_8","alias_value":"JR3ONOUW","created_at":"2026-05-18T12:27:49.015174+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.01436","citing_title":"Constraints on Einstein-aether gravity from the precision timing of PSR J1738+0333","ref_index":63,"is_internal_anchor":false},{"citing_arxiv_id":"2604.19701","citing_title":"A practical theorem on gravitational-wave background statistics","ref_index":37,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JR3ONOUWLJH3WVUW6ZLZYTBDPO","json":"https://pith.science/pith/JR3ONOUWLJH3WVUW6ZLZYTBDPO.json","graph_json":"https://pith.science/api/pith-number/JR3ONOUWLJH3WVUW6ZLZYTBDPO/graph.json","events_json":"https://pith.science/api/pith-number/JR3ONOUWLJH3WVUW6ZLZYTBDPO/events.json","paper":"https://pith.science/paper/JR3ONOUW"},"agent_actions":{"view_html":"https://pith.science/pith/JR3ONOUWLJH3WVUW6ZLZYTBDPO","download_json":"https://pith.science/pith/JR3ONOUWLJH3WVUW6ZLZYTBDPO.json","view_paper":"https://pith.science/paper/JR3ONOUW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1310.2120&json=true","fetch_graph":"https://pith.science/api/pith-number/JR3ONOUWLJH3WVUW6ZLZYTBDPO/graph.json","fetch_events":"https://pith.science/api/pith-number/JR3ONOUWLJH3WVUW6ZLZYTBDPO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JR3ONOUWLJH3WVUW6ZLZYTBDPO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JR3ONOUWLJH3WVUW6ZLZYTBDPO/action/storage_attestation","attest_author":"https://pith.science/pith/JR3ONOUWLJH3WVUW6ZLZYTBDPO/action/author_attestation","sign_citation":"https://pith.science/pith/JR3ONOUWLJH3WVUW6ZLZYTBDPO/action/citation_signature","submit_replication":"https://pith.science/pith/JR3ONOUWLJH3WVUW6ZLZYTBDPO/action/replication_record"}},"created_at":"2026-05-18T03:05:37.449159+00:00","updated_at":"2026-05-18T03:05:37.449159+00:00"}