{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:M2DKGWCYLWQPVDLC6LOVMQMDR7","short_pith_number":"pith:M2DKGWCY","schema_version":"1.0","canonical_sha256":"6686a358585da0fa8d62f2dd5641838fe504f1f001e7da0cd23de5e4d795c402","source":{"kind":"arxiv","id":"2006.12506","version":1},"attestation_state":"computed","paper":{"title":"Cosmological Forecast for non-Gaussian Statistics in large-scale weak Lensing Surveys","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Alexandre Refregier, Dominik Z\\\"urcher, Janis Fluri, Raphael Sgier, Tomasz Kacprzak","submitted_at":"2020-06-22T18:00:01Z","abstract_excerpt":"Cosmic shear data contains a large amount of cosmological information encapsulated in the non-Gaussian features of the weak lensing mass maps. This information can be extracted using non-Gaussian statistics. We compare the constraining power in the $\\Omega_{\\mathrm{m}} - \\sigma_8$ plane of three map-based non-Gaussian statistics with the angular power spectrum, namely; peak/minimum counts and Minkowski functionals. We further analyze the impact of tomography and systematic effects originating from galaxy intrinsic alignments, multiplicative shear bias and photometric redshift systematics. We f"},"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":"2006.12506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2020-06-22T18:00:01Z","cross_cats_sorted":[],"title_canon_sha256":"13c177af50b22cea5ef295e7ab10a72cd4476ef06e3ee76e207131874b077fcf","abstract_canon_sha256":"d58104b94e7eb3afb8eff36291b0ff31138f25874205db6cf325404bd7e9c7d2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:07:47.589485Z","signature_b64":"i8pkUdCWxYtdou08A3/yTXlOq/Ktza0aPohyRv4pEed/sV6ZVSFPUtjzMwA3Lg7di2/1glXVdHErEBwBBLPyBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6686a358585da0fa8d62f2dd5641838fe504f1f001e7da0cd23de5e4d795c402","last_reissued_at":"2026-07-05T02:07:47.589003Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:07:47.589003Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cosmological Forecast for non-Gaussian Statistics in large-scale weak Lensing Surveys","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Alexandre Refregier, Dominik Z\\\"urcher, Janis Fluri, Raphael Sgier, Tomasz Kacprzak","submitted_at":"2020-06-22T18:00:01Z","abstract_excerpt":"Cosmic shear data contains a large amount of cosmological information encapsulated in the non-Gaussian features of the weak lensing mass maps. This information can be extracted using non-Gaussian statistics. We compare the constraining power in the $\\Omega_{\\mathrm{m}} - \\sigma_8$ plane of three map-based non-Gaussian statistics with the angular power spectrum, namely; peak/minimum counts and Minkowski functionals. We further analyze the impact of tomography and systematic effects originating from galaxy intrinsic alignments, multiplicative shear bias and photometric redshift systematics. We f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.12506","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2006.12506/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":"2006.12506","created_at":"2026-07-05T02:07:47.589059+00:00"},{"alias_kind":"arxiv_version","alias_value":"2006.12506v1","created_at":"2026-07-05T02:07:47.589059+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.12506","created_at":"2026-07-05T02:07:47.589059+00:00"},{"alias_kind":"pith_short_12","alias_value":"M2DKGWCYLWQP","created_at":"2026-07-05T02:07:47.589059+00:00"},{"alias_kind":"pith_short_16","alias_value":"M2DKGWCYLWQPVDLC","created_at":"2026-07-05T02:07:47.589059+00:00"},{"alias_kind":"pith_short_8","alias_value":"M2DKGWCY","created_at":"2026-07-05T02:07:47.589059+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2502.04158","citing_title":"Diffusion-based mass map reconstruction from weak lensing data","ref_index":18,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/M2DKGWCYLWQPVDLC6LOVMQMDR7","json":"https://pith.science/pith/M2DKGWCYLWQPVDLC6LOVMQMDR7.json","graph_json":"https://pith.science/api/pith-number/M2DKGWCYLWQPVDLC6LOVMQMDR7/graph.json","events_json":"https://pith.science/api/pith-number/M2DKGWCYLWQPVDLC6LOVMQMDR7/events.json","paper":"https://pith.science/paper/M2DKGWCY"},"agent_actions":{"view_html":"https://pith.science/pith/M2DKGWCYLWQPVDLC6LOVMQMDR7","download_json":"https://pith.science/pith/M2DKGWCYLWQPVDLC6LOVMQMDR7.json","view_paper":"https://pith.science/paper/M2DKGWCY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2006.12506&json=true","fetch_graph":"https://pith.science/api/pith-number/M2DKGWCYLWQPVDLC6LOVMQMDR7/graph.json","fetch_events":"https://pith.science/api/pith-number/M2DKGWCYLWQPVDLC6LOVMQMDR7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M2DKGWCYLWQPVDLC6LOVMQMDR7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M2DKGWCYLWQPVDLC6LOVMQMDR7/action/storage_attestation","attest_author":"https://pith.science/pith/M2DKGWCYLWQPVDLC6LOVMQMDR7/action/author_attestation","sign_citation":"https://pith.science/pith/M2DKGWCYLWQPVDLC6LOVMQMDR7/action/citation_signature","submit_replication":"https://pith.science/pith/M2DKGWCYLWQPVDLC6LOVMQMDR7/action/replication_record"}},"created_at":"2026-07-05T02:07:47.589059+00:00","updated_at":"2026-07-05T02:07:47.589059+00:00"}