{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2008:TDB3EBNAHJODA3J634TGAF4AHR","short_pith_number":"pith:TDB3EBNA","schema_version":"1.0","canonical_sha256":"98c3b205a03a5c306d3edf266017803c788199c24a837db3e1efdb27975f9c0e","source":{"kind":"arxiv","id":"0810.1885","version":1},"attestation_state":"computed","paper":{"title":"Statistical Analysis of Galaxy Surveys - I. Robust error estimation for 2-point clustering statistics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph","authors_text":"5) ((1) IfA, Carlton M. Baugh (2), Darren J. Croton (4, Enrique Gaztanaga (3), Peder Norberg (1), University of Durham; (3) IEEC/CSIC ; (4) UC Berkeley ; (5) Swinburne University), University of Edinburgh; (2) ICC","submitted_at":"2008-10-10T13:54:37Z","abstract_excerpt":"We present a test of different error estimators for 2-point clustering statistics, appropriate for present and future large galaxy redshift surveys. Using an ensemble of very large dark matter LambdaCDM N-body simulations, we compare internal error estimators (jackknife and bootstrap) to external ones (Monte-Carlo realizations). For 3-dimensional clustering statistics, we find that none of the internal error methods investigated are able to reproduce neither accurately nor robustly the errors of external estimators on 1 to 25 Mpc/h scales. The standard bootstrap overestimates the variance of x"},"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":"0810.1885","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph","submitted_at":"2008-10-10T13:54:37Z","cross_cats_sorted":[],"title_canon_sha256":"0764e4994b7cc7ecebfdd1cf02b937cef2123c9e6b0a2f33368171c13d3e1b3f","abstract_canon_sha256":"d751df9ab566b5e1a8a6a7ac8d8f93b883bcd1b5f81012b6858c64703a2637c3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:15:32.286867Z","signature_b64":"zWnkQ0iG8rl5BxXxNcsqAHScFC3GMU/XaHiPetDlWgugliSA3rG5/h32AABw0YNd4wj5EaiKYzTTj+we7FOPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98c3b205a03a5c306d3edf266017803c788199c24a837db3e1efdb27975f9c0e","last_reissued_at":"2026-05-18T02:15:32.286113Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:15:32.286113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Statistical Analysis of Galaxy Surveys - I. Robust error estimation for 2-point clustering statistics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph","authors_text":"5) ((1) IfA, Carlton M. Baugh (2), Darren J. Croton (4, Enrique Gaztanaga (3), Peder Norberg (1), University of Durham; (3) IEEC/CSIC ; (4) UC Berkeley ; (5) Swinburne University), University of Edinburgh; (2) ICC","submitted_at":"2008-10-10T13:54:37Z","abstract_excerpt":"We present a test of different error estimators for 2-point clustering statistics, appropriate for present and future large galaxy redshift surveys. Using an ensemble of very large dark matter LambdaCDM N-body simulations, we compare internal error estimators (jackknife and bootstrap) to external ones (Monte-Carlo realizations). For 3-dimensional clustering statistics, we find that none of the internal error methods investigated are able to reproduce neither accurately nor robustly the errors of external estimators on 1 to 25 Mpc/h scales. The standard bootstrap overestimates the variance of x"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0810.1885","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":"0810.1885","created_at":"2026-05-18T02:15:32.286245+00:00"},{"alias_kind":"arxiv_version","alias_value":"0810.1885v1","created_at":"2026-05-18T02:15:32.286245+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0810.1885","created_at":"2026-05-18T02:15:32.286245+00:00"},{"alias_kind":"pith_short_12","alias_value":"TDB3EBNAHJOD","created_at":"2026-05-18T12:25:58.018023+00:00"},{"alias_kind":"pith_short_16","alias_value":"TDB3EBNAHJODA3J6","created_at":"2026-05-18T12:25:58.018023+00:00"},{"alias_kind":"pith_short_8","alias_value":"TDB3EBNA","created_at":"2026-05-18T12:25:58.018023+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.18581","citing_title":"If at First You Don't Succeed, Trispectrum: I. Estimating the Matter Power Spectrum Covariance with Higher-Order Statistics","ref_index":22,"is_internal_anchor":false},{"citing_arxiv_id":"2605.01963","citing_title":"Constraints on Halo Gas Profiles from Joint kSZ and Galaxy Clustering Analysis of ACT DR6 and CMASS","ref_index":54,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TDB3EBNAHJODA3J634TGAF4AHR","json":"https://pith.science/pith/TDB3EBNAHJODA3J634TGAF4AHR.json","graph_json":"https://pith.science/api/pith-number/TDB3EBNAHJODA3J634TGAF4AHR/graph.json","events_json":"https://pith.science/api/pith-number/TDB3EBNAHJODA3J634TGAF4AHR/events.json","paper":"https://pith.science/paper/TDB3EBNA"},"agent_actions":{"view_html":"https://pith.science/pith/TDB3EBNAHJODA3J634TGAF4AHR","download_json":"https://pith.science/pith/TDB3EBNAHJODA3J634TGAF4AHR.json","view_paper":"https://pith.science/paper/TDB3EBNA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=0810.1885&json=true","fetch_graph":"https://pith.science/api/pith-number/TDB3EBNAHJODA3J634TGAF4AHR/graph.json","fetch_events":"https://pith.science/api/pith-number/TDB3EBNAHJODA3J634TGAF4AHR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TDB3EBNAHJODA3J634TGAF4AHR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TDB3EBNAHJODA3J634TGAF4AHR/action/storage_attestation","attest_author":"https://pith.science/pith/TDB3EBNAHJODA3J634TGAF4AHR/action/author_attestation","sign_citation":"https://pith.science/pith/TDB3EBNAHJODA3J634TGAF4AHR/action/citation_signature","submit_replication":"https://pith.science/pith/TDB3EBNAHJODA3J634TGAF4AHR/action/replication_record"}},"created_at":"2026-05-18T02:15:32.286245+00:00","updated_at":"2026-05-18T02:15:32.286245+00:00"}