{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:D5NFZQAW2RF23FGGNXVFTA7GK3","short_pith_number":"pith:D5NFZQAW","schema_version":"1.0","canonical_sha256":"1f5a5cc016d44bad94c66dea5983e656ee92067a5c0a7c2ff8efb8c23742e0f1","source":{"kind":"arxiv","id":"1901.09488","version":2},"attestation_state":"computed","paper":{"title":"Mock galaxy shape catalogs in the Subaru Hyper Suprime-Cam Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Hironao Miyatake, Masahiro Takada, Masato Shirasaki, Ryuichi Takahashi, Takashi Hamana","submitted_at":"2019-01-28T02:37:15Z","abstract_excerpt":"We use the full-sky ray-tracing weak lensing simulations to generate 2268 mock catalogues for the Subaru Hyper Suprime-Cam (HSC) survey first-year shear catalogue. Our mock catalogues take into account various effects as in the real data: the survey footprints, inhomogeneous angular distribution of source galaxies, statistical uncertainties in photometric redshift (photo-$z$) estimate, variations in the lensing weight, and the statistical noise in galaxy shape measurements including both intrinsic shapes and the measurement errors. We then utilize our mock catalogues to evaluate statistical un"},"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":"1901.09488","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2019-01-28T02:37:15Z","cross_cats_sorted":[],"title_canon_sha256":"63af86dd0447fbd4c6636c5b2dcf2dc0fc600ba18a12fbd332c9d9d334df21c0","abstract_canon_sha256":"1cca299be51c1bef7ac5269a0ea0c2a7faeb7e43d99e27f1afe23d5d5dae88dc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:21.643830Z","signature_b64":"LA7rVor3rcGtX/iRqco/yVUe1Mx4BjBpXL42OeS/+L4jf6svX0BiCQRM+AzIsAxH7HMJ3dasA1n1W8OW7gBnDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f5a5cc016d44bad94c66dea5983e656ee92067a5c0a7c2ff8efb8c23742e0f1","last_reissued_at":"2026-05-17T23:50:21.643190Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:21.643190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mock galaxy shape catalogs in the Subaru Hyper Suprime-Cam Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Hironao Miyatake, Masahiro Takada, Masato Shirasaki, Ryuichi Takahashi, Takashi Hamana","submitted_at":"2019-01-28T02:37:15Z","abstract_excerpt":"We use the full-sky ray-tracing weak lensing simulations to generate 2268 mock catalogues for the Subaru Hyper Suprime-Cam (HSC) survey first-year shear catalogue. Our mock catalogues take into account various effects as in the real data: the survey footprints, inhomogeneous angular distribution of source galaxies, statistical uncertainties in photometric redshift (photo-$z$) estimate, variations in the lensing weight, and the statistical noise in galaxy shape measurements including both intrinsic shapes and the measurement errors. We then utilize our mock catalogues to evaluate statistical un"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.09488","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":"1901.09488","created_at":"2026-05-17T23:50:21.643286+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.09488v2","created_at":"2026-05-17T23:50:21.643286+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.09488","created_at":"2026-05-17T23:50:21.643286+00:00"},{"alias_kind":"pith_short_12","alias_value":"D5NFZQAW2RF2","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_16","alias_value":"D5NFZQAW2RF23FGG","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_8","alias_value":"D5NFZQAW","created_at":"2026-05-18T12:33:15.570797+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":2,"sample":[{"citing_arxiv_id":"2605.16186","citing_title":"Analytical method for computing the covariance matrix of cosmic shear two-point correlation function","ref_index":13,"is_internal_anchor":true},{"citing_arxiv_id":"2605.12877","citing_title":"Machine-learning applications for weak-lensing cosmology","ref_index":103,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/D5NFZQAW2RF23FGGNXVFTA7GK3","json":"https://pith.science/pith/D5NFZQAW2RF23FGGNXVFTA7GK3.json","graph_json":"https://pith.science/api/pith-number/D5NFZQAW2RF23FGGNXVFTA7GK3/graph.json","events_json":"https://pith.science/api/pith-number/D5NFZQAW2RF23FGGNXVFTA7GK3/events.json","paper":"https://pith.science/paper/D5NFZQAW"},"agent_actions":{"view_html":"https://pith.science/pith/D5NFZQAW2RF23FGGNXVFTA7GK3","download_json":"https://pith.science/pith/D5NFZQAW2RF23FGGNXVFTA7GK3.json","view_paper":"https://pith.science/paper/D5NFZQAW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.09488&json=true","fetch_graph":"https://pith.science/api/pith-number/D5NFZQAW2RF23FGGNXVFTA7GK3/graph.json","fetch_events":"https://pith.science/api/pith-number/D5NFZQAW2RF23FGGNXVFTA7GK3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D5NFZQAW2RF23FGGNXVFTA7GK3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D5NFZQAW2RF23FGGNXVFTA7GK3/action/storage_attestation","attest_author":"https://pith.science/pith/D5NFZQAW2RF23FGGNXVFTA7GK3/action/author_attestation","sign_citation":"https://pith.science/pith/D5NFZQAW2RF23FGGNXVFTA7GK3/action/citation_signature","submit_replication":"https://pith.science/pith/D5NFZQAW2RF23FGGNXVFTA7GK3/action/replication_record"}},"created_at":"2026-05-17T23:50:21.643286+00:00","updated_at":"2026-05-17T23:50:21.643286+00:00"}