{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:G33RZCWZX2WFQOVZKP4HCPNQ5C","short_pith_number":"pith:G33RZCWZ","schema_version":"1.0","canonical_sha256":"36f71c8ad9beac583ab953f8713db0e8883d150775aea533d9ded9db08105ab5","source":{"kind":"arxiv","id":"1808.07496","version":2},"attestation_state":"computed","paper":{"title":"Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Benjamin D. Wandelt, Doogesh Kodi Ramanah, Guilhem Lavaux, Jens Jasche","submitted_at":"2018-08-22T18:01:06Z","abstract_excerpt":"We present a large-scale Bayesian inference framework to constrain cosmological parameters using galaxy redshift surveys, via an application of the Alcock-Paczy\\'nski (AP) test. Our physical model of the non-linearly evolved density field, as probed by galaxy surveys, employs Lagrangian perturbation theory (LPT) to connect Gaussian initial conditions to the final density field, followed by a coordinate transformation to obtain the redshift space representation for comparison with data. We generate realizations of primordial and present-day matter fluctuations given a set of observations. This "},"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":"1808.07496","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2018-08-22T18:01:06Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"d5ddfa7984e3fe972f54d4cc67ac2e3b743ed3d5c579ebe888ea5e4c31b50346","abstract_canon_sha256":"f118fc7810486f0e5ec4e84c17e8a24c16dc6314d1deaef5a7e7aa0de5fdf1db"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:24.316469Z","signature_b64":"WrkXOEKKDLd6br0u5FRU4jLeWzKow15G1PHXQlto5sYG2kbmfh17YJDCkVgaYgMfWBq7c574L3CaAXAuiiCTDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"36f71c8ad9beac583ab953f8713db0e8883d150775aea533d9ded9db08105ab5","last_reissued_at":"2026-05-17T23:50:24.316019Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:24.316019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Benjamin D. Wandelt, Doogesh Kodi Ramanah, Guilhem Lavaux, Jens Jasche","submitted_at":"2018-08-22T18:01:06Z","abstract_excerpt":"We present a large-scale Bayesian inference framework to constrain cosmological parameters using galaxy redshift surveys, via an application of the Alcock-Paczy\\'nski (AP) test. Our physical model of the non-linearly evolved density field, as probed by galaxy surveys, employs Lagrangian perturbation theory (LPT) to connect Gaussian initial conditions to the final density field, followed by a coordinate transformation to obtain the redshift space representation for comparison with data. We generate realizations of primordial and present-day matter fluctuations given a set of observations. This "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.07496","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":"1808.07496","created_at":"2026-05-17T23:50:24.316090+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.07496v2","created_at":"2026-05-17T23:50:24.316090+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.07496","created_at":"2026-05-17T23:50:24.316090+00:00"},{"alias_kind":"pith_short_12","alias_value":"G33RZCWZX2WF","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_16","alias_value":"G33RZCWZX2WFQOVZ","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_8","alias_value":"G33RZCWZ","created_at":"2026-05-18T12:32:25.280505+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2605.15078","citing_title":"KiDS+VIKING-450 cosmology with Bayesian hierarchical model redshift distributions","ref_index":53,"is_internal_anchor":true},{"citing_arxiv_id":"2604.14653","citing_title":"Closing the Observational Gap in Cosmic Dynamics: AI-Enabled Reconstruction of the Universe's Vorticity and Rotational Flow Morphology","ref_index":22,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/G33RZCWZX2WFQOVZKP4HCPNQ5C","json":"https://pith.science/pith/G33RZCWZX2WFQOVZKP4HCPNQ5C.json","graph_json":"https://pith.science/api/pith-number/G33RZCWZX2WFQOVZKP4HCPNQ5C/graph.json","events_json":"https://pith.science/api/pith-number/G33RZCWZX2WFQOVZKP4HCPNQ5C/events.json","paper":"https://pith.science/paper/G33RZCWZ"},"agent_actions":{"view_html":"https://pith.science/pith/G33RZCWZX2WFQOVZKP4HCPNQ5C","download_json":"https://pith.science/pith/G33RZCWZX2WFQOVZKP4HCPNQ5C.json","view_paper":"https://pith.science/paper/G33RZCWZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.07496&json=true","fetch_graph":"https://pith.science/api/pith-number/G33RZCWZX2WFQOVZKP4HCPNQ5C/graph.json","fetch_events":"https://pith.science/api/pith-number/G33RZCWZX2WFQOVZKP4HCPNQ5C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G33RZCWZX2WFQOVZKP4HCPNQ5C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G33RZCWZX2WFQOVZKP4HCPNQ5C/action/storage_attestation","attest_author":"https://pith.science/pith/G33RZCWZX2WFQOVZKP4HCPNQ5C/action/author_attestation","sign_citation":"https://pith.science/pith/G33RZCWZX2WFQOVZKP4HCPNQ5C/action/citation_signature","submit_replication":"https://pith.science/pith/G33RZCWZX2WFQOVZKP4HCPNQ5C/action/replication_record"}},"created_at":"2026-05-17T23:50:24.316090+00:00","updated_at":"2026-05-17T23:50:24.316090+00:00"}