{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:5RNFMUOHJW37VCKX54FR344TFK","short_pith_number":"pith:5RNFMUOH","schema_version":"1.0","canonical_sha256":"ec5a5651c74db7fa8957ef0b1df3932aaa1ab0c7dcd8eaf2251e5102cca8f8d0","source":{"kind":"arxiv","id":"1406.2713","version":2},"attestation_state":"computed","paper":{"title":"Matter Power Spectrum Covariance Matrix from the DEUS-PUR {\\Lambda}CDM simulations: Mass Resolution and non-Gaussian Errors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Jean-Michel Alimi, Linda Blot, Pier Stefano Corasaniti, Vincent Reverdy, Yann Rasera","submitted_at":"2014-06-10T20:39:11Z","abstract_excerpt":"The upcoming generation of galaxy surveys will probe the distribution of matter in the universe with unprecedented accuracy. Measurements of the matter power spectrum at different scales and redshifts will provide stringent constraints on the cosmological parameters. However, on non-linear scales this will require an accurate evaluation of the covariance matrix. Here, we compute the covariance matrix of the 3D matter density power spectrum for the concordance $\\Lambda$CDM cosmology from an ensemble of N-body simulations of the Dark Energy Universe Simulation - Parallel Universe Runs (DEUS-PUR)"},"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":"1406.2713","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2014-06-10T20:39:11Z","cross_cats_sorted":[],"title_canon_sha256":"25839d42b156157036eac378b7bff9ef529feee6bbb90173133e34dcec7e3385","abstract_canon_sha256":"e23cb85d2904d6d9fa9c764da9dda5f35554f055a7e73d199246edd4682f31f2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:33:01.146850Z","signature_b64":"mzo+RvKidBWigiLHL14YZxGxIVpUJcHQ0V3LphMXUi5yk2BCOaGdjiJqPNi8+rlPCiMlxk1FXdOJS+RlprpOBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec5a5651c74db7fa8957ef0b1df3932aaa1ab0c7dcd8eaf2251e5102cca8f8d0","last_reissued_at":"2026-05-18T02:33:01.146519Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:33:01.146519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Matter Power Spectrum Covariance Matrix from the DEUS-PUR {\\Lambda}CDM simulations: Mass Resolution and non-Gaussian Errors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Jean-Michel Alimi, Linda Blot, Pier Stefano Corasaniti, Vincent Reverdy, Yann Rasera","submitted_at":"2014-06-10T20:39:11Z","abstract_excerpt":"The upcoming generation of galaxy surveys will probe the distribution of matter in the universe with unprecedented accuracy. Measurements of the matter power spectrum at different scales and redshifts will provide stringent constraints on the cosmological parameters. However, on non-linear scales this will require an accurate evaluation of the covariance matrix. Here, we compute the covariance matrix of the 3D matter density power spectrum for the concordance $\\Lambda$CDM cosmology from an ensemble of N-body simulations of the Dark Energy Universe Simulation - Parallel Universe Runs (DEUS-PUR)"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.2713","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":"1406.2713","created_at":"2026-05-18T02:33:01.146567+00:00"},{"alias_kind":"arxiv_version","alias_value":"1406.2713v2","created_at":"2026-05-18T02:33:01.146567+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.2713","created_at":"2026-05-18T02:33:01.146567+00:00"},{"alias_kind":"pith_short_12","alias_value":"5RNFMUOHJW37","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_16","alias_value":"5RNFMUOHJW37VCKX","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_8","alias_value":"5RNFMUOH","created_at":"2026-05-18T12:28:14.216126+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/5RNFMUOHJW37VCKX54FR344TFK","json":"https://pith.science/pith/5RNFMUOHJW37VCKX54FR344TFK.json","graph_json":"https://pith.science/api/pith-number/5RNFMUOHJW37VCKX54FR344TFK/graph.json","events_json":"https://pith.science/api/pith-number/5RNFMUOHJW37VCKX54FR344TFK/events.json","paper":"https://pith.science/paper/5RNFMUOH"},"agent_actions":{"view_html":"https://pith.science/pith/5RNFMUOHJW37VCKX54FR344TFK","download_json":"https://pith.science/pith/5RNFMUOHJW37VCKX54FR344TFK.json","view_paper":"https://pith.science/paper/5RNFMUOH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1406.2713&json=true","fetch_graph":"https://pith.science/api/pith-number/5RNFMUOHJW37VCKX54FR344TFK/graph.json","fetch_events":"https://pith.science/api/pith-number/5RNFMUOHJW37VCKX54FR344TFK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5RNFMUOHJW37VCKX54FR344TFK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5RNFMUOHJW37VCKX54FR344TFK/action/storage_attestation","attest_author":"https://pith.science/pith/5RNFMUOHJW37VCKX54FR344TFK/action/author_attestation","sign_citation":"https://pith.science/pith/5RNFMUOHJW37VCKX54FR344TFK/action/citation_signature","submit_replication":"https://pith.science/pith/5RNFMUOHJW37VCKX54FR344TFK/action/replication_record"}},"created_at":"2026-05-18T02:33:01.146567+00:00","updated_at":"2026-05-18T02:33:01.146567+00:00"}