{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:BKT46B3KRSPZPR6LYEE4NDDJN7","short_pith_number":"pith:BKT46B3K","schema_version":"1.0","canonical_sha256":"0aa7cf076a8c9f97c7cbc109c68c696fdcca841f3380e6b4b6f4d3fdbdbec57b","source":{"kind":"arxiv","id":"2503.07270","version":1},"attestation_state":"computed","paper":{"title":"Simulation-Based Priors without Simulations: an Analytic Perspective on EFT Parameters of Galaxies","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Mikhail M. Ivanov","submitted_at":"2025-03-10T12:50:44Z","abstract_excerpt":"Effective field theory (EFT)-based full-shape analysis with simulation-based priors (SBPs) is a novel approach to galaxy clustering data analysis, which significantly boosts the constraining power by efficiently incorporating field-level simulation information from small scales. So far, SBPs have been mostly extracted from a large set of mock catalogs generated with the Halo Occupation Distribution (HOD) approach. We show that given a halo mass function model and assuming that the EFT parameters of halos depend only on the peak height, HOD-based priors can be computed analytically for the stan"},"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":"2503.07270","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.CO","submitted_at":"2025-03-10T12:50:44Z","cross_cats_sorted":[],"title_canon_sha256":"dc758375aa5a8f1d8d618fff796eb8efadea8c089058d13f268062d5ce6cc4db","abstract_canon_sha256":"3f9e5dbd82150237dddf2e43464f8d6d7f9d89881a4a85146675f6c735e3070a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:52.519759Z","signature_b64":"bbp6MKGrToLheMYu7yY7b1sSK+0Tkk262VOSAvw9J2aQJn4DtwPFRz5ROz6dqDo+bMLqSCxcdZmV5xn5w5JXBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0aa7cf076a8c9f97c7cbc109c68c696fdcca841f3380e6b4b6f4d3fdbdbec57b","last_reissued_at":"2026-07-05T10:27:52.519280Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:52.519280Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Simulation-Based Priors without Simulations: an Analytic Perspective on EFT Parameters of Galaxies","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Mikhail M. Ivanov","submitted_at":"2025-03-10T12:50:44Z","abstract_excerpt":"Effective field theory (EFT)-based full-shape analysis with simulation-based priors (SBPs) is a novel approach to galaxy clustering data analysis, which significantly boosts the constraining power by efficiently incorporating field-level simulation information from small scales. So far, SBPs have been mostly extracted from a large set of mock catalogs generated with the Halo Occupation Distribution (HOD) approach. We show that given a halo mass function model and assuming that the EFT parameters of halos depend only on the peak height, HOD-based priors can be computed analytically for the stan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.07270","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2503.07270/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":"2503.07270","created_at":"2026-07-05T10:27:52.519338+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.07270v1","created_at":"2026-07-05T10:27:52.519338+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.07270","created_at":"2026-07-05T10:27:52.519338+00:00"},{"alias_kind":"pith_short_12","alias_value":"BKT46B3KRSPZ","created_at":"2026-07-05T10:27:52.519338+00:00"},{"alias_kind":"pith_short_16","alias_value":"BKT46B3KRSPZPR6L","created_at":"2026-07-05T10:27:52.519338+00:00"},{"alias_kind":"pith_short_8","alias_value":"BKT46B3K","created_at":"2026-07-05T10:27:52.519338+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2607.02498","citing_title":"Alleviating prior dependencies for DESI DR1 clustering fits through reparameterization","ref_index":91,"is_internal_anchor":false},{"citing_arxiv_id":"2511.20757","citing_title":"Reanalyzing DESI DR1: 2. Constraints on Dark Energy, Spatial Curvature, and Neutrino Masses","ref_index":141,"is_internal_anchor":false},{"citing_arxiv_id":"2605.13298","citing_title":"Probing nonlinear structure formation beyond $\\Lambda$CDM with the LSS bootstrap: a joint power spectrum and bispectrum analysis","ref_index":71,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BKT46B3KRSPZPR6LYEE4NDDJN7","json":"https://pith.science/pith/BKT46B3KRSPZPR6LYEE4NDDJN7.json","graph_json":"https://pith.science/api/pith-number/BKT46B3KRSPZPR6LYEE4NDDJN7/graph.json","events_json":"https://pith.science/api/pith-number/BKT46B3KRSPZPR6LYEE4NDDJN7/events.json","paper":"https://pith.science/paper/BKT46B3K"},"agent_actions":{"view_html":"https://pith.science/pith/BKT46B3KRSPZPR6LYEE4NDDJN7","download_json":"https://pith.science/pith/BKT46B3KRSPZPR6LYEE4NDDJN7.json","view_paper":"https://pith.science/paper/BKT46B3K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.07270&json=true","fetch_graph":"https://pith.science/api/pith-number/BKT46B3KRSPZPR6LYEE4NDDJN7/graph.json","fetch_events":"https://pith.science/api/pith-number/BKT46B3KRSPZPR6LYEE4NDDJN7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BKT46B3KRSPZPR6LYEE4NDDJN7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BKT46B3KRSPZPR6LYEE4NDDJN7/action/storage_attestation","attest_author":"https://pith.science/pith/BKT46B3KRSPZPR6LYEE4NDDJN7/action/author_attestation","sign_citation":"https://pith.science/pith/BKT46B3KRSPZPR6LYEE4NDDJN7/action/citation_signature","submit_replication":"https://pith.science/pith/BKT46B3KRSPZPR6LYEE4NDDJN7/action/replication_record"}},"created_at":"2026-07-05T10:27:52.519338+00:00","updated_at":"2026-07-05T10:27:52.519338+00:00"}