{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:NHOMKBF3MKDAEDOXSUUVMOSQLQ","short_pith_number":"pith:NHOMKBF3","schema_version":"1.0","canonical_sha256":"69dcc504bb6286020dd79529563a505c1812dc65c86dd2ad89e4c6fa662610bc","source":{"kind":"arxiv","id":"1812.04654","version":3},"attestation_state":"computed","paper":{"title":"An Emulator for the Lyman-alpha Forest","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Andreu Font-Ribera, Andrew Pontzen, Hiranya V. Peiris, Keir K. Rogers, Licia Verde, Simeon Bird","submitted_at":"2018-12-11T19:15:35Z","abstract_excerpt":"We present methods for interpolating between the 1-D flux power spectrum of the Lyman-$\\alpha$ forest, as output by cosmological hydrodynamic simulations. Interpolation is necessary for cosmological parameter estimation due to the limited number of simulations possible. We construct an emulator for the Lyman-$\\alpha$ forest flux power spectrum from $21$ small simulations using Latin hypercube sampling and Gaussian process interpolation. We show that this emulator has a typical accuracy of 1.5% and a worst-case accuracy of 4%, which compares well to the current statistical error of 3 - 5% at $z"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1812.04654","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2018-12-11T19:15:35Z","cross_cats_sorted":[],"title_canon_sha256":"3f0f445d1207e94acff34fffb7c57ecba7c7c7801dd6c216845abe368283975b","abstract_canon_sha256":"4aa3b87a6936a8e8b53aaa9d724e5772af5560517a902ae8ce34b24afdf60246"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:35:02.750235Z","signature_b64":"ZnQf1mOhSGJA/W4xqPJ0+WTs0EOnUX0y2uY0T9Rsi/sdkh6hDOeayOZguAU/viOxnbmxVjzskJhxIELDf2AODQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69dcc504bb6286020dd79529563a505c1812dc65c86dd2ad89e4c6fa662610bc","last_reissued_at":"2026-07-05T05:35:02.749661Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:35:02.749661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Emulator for the Lyman-alpha Forest","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Andreu Font-Ribera, Andrew Pontzen, Hiranya V. Peiris, Keir K. Rogers, Licia Verde, Simeon Bird","submitted_at":"2018-12-11T19:15:35Z","abstract_excerpt":"We present methods for interpolating between the 1-D flux power spectrum of the Lyman-$\\alpha$ forest, as output by cosmological hydrodynamic simulations. Interpolation is necessary for cosmological parameter estimation due to the limited number of simulations possible. We construct an emulator for the Lyman-$\\alpha$ forest flux power spectrum from $21$ small simulations using Latin hypercube sampling and Gaussian process interpolation. We show that this emulator has a typical accuracy of 1.5% and a worst-case accuracy of 4%, which compares well to the current statistical error of 3 - 5% at $z"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04654","kind":"arxiv","version":3},"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/1812.04654/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":"1812.04654","created_at":"2026-07-05T05:35:02.749731+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.04654v3","created_at":"2026-07-05T05:35:02.749731+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04654","created_at":"2026-07-05T05:35:02.749731+00:00"},{"alias_kind":"pith_short_12","alias_value":"NHOMKBF3MKDA","created_at":"2026-07-05T05:35:02.749731+00:00"},{"alias_kind":"pith_short_16","alias_value":"NHOMKBF3MKDAEDOX","created_at":"2026-07-05T05:35:02.749731+00:00"},{"alias_kind":"pith_short_8","alias_value":"NHOMKBF3","created_at":"2026-07-05T05:35:02.749731+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":5,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.26234","citing_title":"Lyman-Alpha Forest and its Cross-Correlation with High-Redshift Galaxies in Effective Field Theory at the Field Level","ref_index":116,"is_internal_anchor":false},{"citing_arxiv_id":"2606.06969","citing_title":"Lyman-$\\alpha$ forest constraints on pure and mixed fuzzy dark matter","ref_index":92,"is_internal_anchor":false},{"citing_arxiv_id":"2606.28482","citing_title":"Strongest constraints on dark acoustic oscillations from the Lyman-alpha forest","ref_index":67,"is_internal_anchor":false},{"citing_arxiv_id":"2605.22489","citing_title":"Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\\alpha$ forest","ref_index":276,"is_internal_anchor":false},{"citing_arxiv_id":"2601.21432","citing_title":"Cosmological analysis of the DESI DR1 Lyman alpha 1D power spectrum","ref_index":79,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NHOMKBF3MKDAEDOXSUUVMOSQLQ","json":"https://pith.science/pith/NHOMKBF3MKDAEDOXSUUVMOSQLQ.json","graph_json":"https://pith.science/api/pith-number/NHOMKBF3MKDAEDOXSUUVMOSQLQ/graph.json","events_json":"https://pith.science/api/pith-number/NHOMKBF3MKDAEDOXSUUVMOSQLQ/events.json","paper":"https://pith.science/paper/NHOMKBF3"},"agent_actions":{"view_html":"https://pith.science/pith/NHOMKBF3MKDAEDOXSUUVMOSQLQ","download_json":"https://pith.science/pith/NHOMKBF3MKDAEDOXSUUVMOSQLQ.json","view_paper":"https://pith.science/paper/NHOMKBF3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.04654&json=true","fetch_graph":"https://pith.science/api/pith-number/NHOMKBF3MKDAEDOXSUUVMOSQLQ/graph.json","fetch_events":"https://pith.science/api/pith-number/NHOMKBF3MKDAEDOXSUUVMOSQLQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NHOMKBF3MKDAEDOXSUUVMOSQLQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NHOMKBF3MKDAEDOXSUUVMOSQLQ/action/storage_attestation","attest_author":"https://pith.science/pith/NHOMKBF3MKDAEDOXSUUVMOSQLQ/action/author_attestation","sign_citation":"https://pith.science/pith/NHOMKBF3MKDAEDOXSUUVMOSQLQ/action/citation_signature","submit_replication":"https://pith.science/pith/NHOMKBF3MKDAEDOXSUUVMOSQLQ/action/replication_record"}},"created_at":"2026-07-05T05:35:02.749731+00:00","updated_at":"2026-07-05T05:35:02.749731+00:00"}