{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:JZYHWSJ7W6U4ULITR4E3ACZEXH","short_pith_number":"pith:JZYHWSJ7","schema_version":"1.0","canonical_sha256":"4e707b493fb7a9ca2d138f09b00b24b9ebe74b19af6eef4e8db4fe6b1a2f5a8f","source":{"kind":"arxiv","id":"1505.03528","version":2},"attestation_state":"computed","paper":{"title":"Halo detection via large-scale Bayesian inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Alexander I. Merson (JPL), Benjamin Wandelt (IAP), D. Heath Jones (Macquarie University), Filipe B. Abdalla (UCL), Jens Jasche (TUM), Matthew Colless (ANU), Ofer Lahav (UCL)","submitted_at":"2015-05-13T20:00:51Z","abstract_excerpt":"We present a proof-of-concept of a novel and fully Bayesian methodology designed to detect halos of different masses in cosmological observations subject to noise and systematic uncertainties. Our methodology combines the previously published Bayesian large-scale structure inference algorithm, HADES, and a Bayesian chain rule (the Blackwell-Rao Estimator), which we use to connect the inferred density field to the properties of dark matter halos. To demonstrate the capability of our approach we construct a realistic galaxy mock catalogue emulating the wide-area 6-degree Field Galaxy Survey, whi"},"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":"1505.03528","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2015-05-13T20:00:51Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"bfa9e81770f2d10092003bd413bcbef801d2b9223504477c290a6e85d34e0efe","abstract_canon_sha256":"31fc07f3910ac67fbe8d5394bfe96e78d697e77851ec76493a3b23a6163dba13"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:49.910911Z","signature_b64":"OvO4j0CGX7Tdp2Ok3ngMrlDzPOrhPmawMqnijDtSMOI+gbsOa+z+1sEZVHpD35air6Xj3kwR+56SZP1NuoNJDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e707b493fb7a9ca2d138f09b00b24b9ebe74b19af6eef4e8db4fe6b1a2f5a8f","last_reissued_at":"2026-05-18T01:12:49.910584Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:49.910584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Halo detection via large-scale Bayesian inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Alexander I. Merson (JPL), Benjamin Wandelt (IAP), D. Heath Jones (Macquarie University), Filipe B. Abdalla (UCL), Jens Jasche (TUM), Matthew Colless (ANU), Ofer Lahav (UCL)","submitted_at":"2015-05-13T20:00:51Z","abstract_excerpt":"We present a proof-of-concept of a novel and fully Bayesian methodology designed to detect halos of different masses in cosmological observations subject to noise and systematic uncertainties. Our methodology combines the previously published Bayesian large-scale structure inference algorithm, HADES, and a Bayesian chain rule (the Blackwell-Rao Estimator), which we use to connect the inferred density field to the properties of dark matter halos. To demonstrate the capability of our approach we construct a realistic galaxy mock catalogue emulating the wide-area 6-degree Field Galaxy Survey, whi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.03528","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":""},"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":"1505.03528","created_at":"2026-05-18T01:12:49.910637+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.03528v2","created_at":"2026-05-18T01:12:49.910637+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.03528","created_at":"2026-05-18T01:12:49.910637+00:00"},{"alias_kind":"pith_short_12","alias_value":"JZYHWSJ7W6U4","created_at":"2026-05-18T12:29:27.538025+00:00"},{"alias_kind":"pith_short_16","alias_value":"JZYHWSJ7W6U4ULIT","created_at":"2026-05-18T12:29:27.538025+00:00"},{"alias_kind":"pith_short_8","alias_value":"JZYHWSJ7","created_at":"2026-05-18T12:29:27.538025+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/JZYHWSJ7W6U4ULITR4E3ACZEXH","json":"https://pith.science/pith/JZYHWSJ7W6U4ULITR4E3ACZEXH.json","graph_json":"https://pith.science/api/pith-number/JZYHWSJ7W6U4ULITR4E3ACZEXH/graph.json","events_json":"https://pith.science/api/pith-number/JZYHWSJ7W6U4ULITR4E3ACZEXH/events.json","paper":"https://pith.science/paper/JZYHWSJ7"},"agent_actions":{"view_html":"https://pith.science/pith/JZYHWSJ7W6U4ULITR4E3ACZEXH","download_json":"https://pith.science/pith/JZYHWSJ7W6U4ULITR4E3ACZEXH.json","view_paper":"https://pith.science/paper/JZYHWSJ7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.03528&json=true","fetch_graph":"https://pith.science/api/pith-number/JZYHWSJ7W6U4ULITR4E3ACZEXH/graph.json","fetch_events":"https://pith.science/api/pith-number/JZYHWSJ7W6U4ULITR4E3ACZEXH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JZYHWSJ7W6U4ULITR4E3ACZEXH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JZYHWSJ7W6U4ULITR4E3ACZEXH/action/storage_attestation","attest_author":"https://pith.science/pith/JZYHWSJ7W6U4ULITR4E3ACZEXH/action/author_attestation","sign_citation":"https://pith.science/pith/JZYHWSJ7W6U4ULITR4E3ACZEXH/action/citation_signature","submit_replication":"https://pith.science/pith/JZYHWSJ7W6U4ULITR4E3ACZEXH/action/replication_record"}},"created_at":"2026-05-18T01:12:49.910637+00:00","updated_at":"2026-05-18T01:12:49.910637+00:00"}