{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:YK4OSYYB4SJQ6R5AHLDT6UMGCL","short_pith_number":"pith:YK4OSYYB","schema_version":"1.0","canonical_sha256":"c2b8e96301e4930f47a03ac73f518612c7ed0fb250f6b99a75a188aa56e43f25","source":{"kind":"arxiv","id":"2111.13702","version":2},"attestation_state":"computed","paper":{"title":"The Information Content of Projected Galaxy Fields","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Abigail J. Lee, Gary M. Bernstein, Lucas Porth, Robert E. Smith","submitted_at":"2021-11-26T19:00:01Z","abstract_excerpt":"The power spectrum of the nonlinearly evolved large-scale mass distribution recovers only a minority of the information available on the mass fluctuation amplitude. We investigate the recovery of this information in 2D \"slabs\" of the mass distribution averaged over $\\approx100$~$h^{-1}$Mpc along the line of sight, as might be obtained from photometric redshift surveys. We demonstrate a Hamiltonian Monte Carlo (HMC) method to reconstruct the non-Gaussian mass distribution in slabs, under the assumption that the projected field is a point-transformed Gaussian random field, Poisson-sampled by gal"},"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":"2111.13702","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.CO","submitted_at":"2021-11-26T19:00:01Z","cross_cats_sorted":[],"title_canon_sha256":"c44923a59a42cf39b4ba318e2be68fee673b823ad11264a34feb69ad79d0834f","abstract_canon_sha256":"211f68c8dd3226052ec5f1b4e5658c13a2e561d0b38155b3a0e40f13cd39e6b8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:24:25.288224Z","signature_b64":"ryrdJhXLh4Rq6L9vuVdM8gllnNsLciIdDllZe7ZsHsvzCNmXpRY7z+gT2s8Xxvi7e+5iFH1C/m1F9oUIFoDkDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2b8e96301e4930f47a03ac73f518612c7ed0fb250f6b99a75a188aa56e43f25","last_reissued_at":"2026-07-05T05:24:25.287762Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:24:25.287762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Information Content of Projected Galaxy Fields","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Abigail J. Lee, Gary M. Bernstein, Lucas Porth, Robert E. Smith","submitted_at":"2021-11-26T19:00:01Z","abstract_excerpt":"The power spectrum of the nonlinearly evolved large-scale mass distribution recovers only a minority of the information available on the mass fluctuation amplitude. We investigate the recovery of this information in 2D \"slabs\" of the mass distribution averaged over $\\approx100$~$h^{-1}$Mpc along the line of sight, as might be obtained from photometric redshift surveys. We demonstrate a Hamiltonian Monte Carlo (HMC) method to reconstruct the non-Gaussian mass distribution in slabs, under the assumption that the projected field is a point-transformed Gaussian random field, Poisson-sampled by gal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.13702","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2111.13702/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":"2111.13702","created_at":"2026-07-05T05:24:25.287831+00:00"},{"alias_kind":"arxiv_version","alias_value":"2111.13702v2","created_at":"2026-07-05T05:24:25.287831+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.13702","created_at":"2026-07-05T05:24:25.287831+00:00"},{"alias_kind":"pith_short_12","alias_value":"YK4OSYYB4SJQ","created_at":"2026-07-05T05:24:25.287831+00:00"},{"alias_kind":"pith_short_16","alias_value":"YK4OSYYB4SJQ6R5A","created_at":"2026-07-05T05:24:25.287831+00:00"},{"alias_kind":"pith_short_8","alias_value":"YK4OSYYB","created_at":"2026-07-05T05:24:25.287831+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.07105","citing_title":"Renormalized Perturbation Theory at Field-level: the LSS bootstrap in GridSPT","ref_index":37,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YK4OSYYB4SJQ6R5AHLDT6UMGCL","json":"https://pith.science/pith/YK4OSYYB4SJQ6R5AHLDT6UMGCL.json","graph_json":"https://pith.science/api/pith-number/YK4OSYYB4SJQ6R5AHLDT6UMGCL/graph.json","events_json":"https://pith.science/api/pith-number/YK4OSYYB4SJQ6R5AHLDT6UMGCL/events.json","paper":"https://pith.science/paper/YK4OSYYB"},"agent_actions":{"view_html":"https://pith.science/pith/YK4OSYYB4SJQ6R5AHLDT6UMGCL","download_json":"https://pith.science/pith/YK4OSYYB4SJQ6R5AHLDT6UMGCL.json","view_paper":"https://pith.science/paper/YK4OSYYB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2111.13702&json=true","fetch_graph":"https://pith.science/api/pith-number/YK4OSYYB4SJQ6R5AHLDT6UMGCL/graph.json","fetch_events":"https://pith.science/api/pith-number/YK4OSYYB4SJQ6R5AHLDT6UMGCL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YK4OSYYB4SJQ6R5AHLDT6UMGCL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YK4OSYYB4SJQ6R5AHLDT6UMGCL/action/storage_attestation","attest_author":"https://pith.science/pith/YK4OSYYB4SJQ6R5AHLDT6UMGCL/action/author_attestation","sign_citation":"https://pith.science/pith/YK4OSYYB4SJQ6R5AHLDT6UMGCL/action/citation_signature","submit_replication":"https://pith.science/pith/YK4OSYYB4SJQ6R5AHLDT6UMGCL/action/replication_record"}},"created_at":"2026-07-05T05:24:25.287831+00:00","updated_at":"2026-07-05T05:24:25.287831+00:00"}