{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:TG2T3SO3O2SPOTY3VSATWQ2IRE","short_pith_number":"pith:TG2T3SO3","schema_version":"1.0","canonical_sha256":"99b53dc9db76a4f74f1bac813b4348890fec44580e57033ece29f3eed257bc9f","source":{"kind":"arxiv","id":"1711.01215","version":1},"attestation_state":"computed","paper":{"title":"A New Standard for Assessing the Performance of High Contrast Imaging Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Angelle Tanner, Carlos A. Gomez Gonzalez, Christian Marois, Dimitri Mawet, Garreth Ruane, Johan Mazoyer, Matthew A. Kenworthy, Olivier Absil, Rebecca Jensen-Clem, Ruslan Belikov, Thayne Currie","submitted_at":"2017-11-03T15:52:29Z","abstract_excerpt":"As planning for the next generation of high contrast imaging instruments (e.g. WFIRST, HabEx, and LUVOIR, TMT-PFI, EELT-EPICS) matures, and second-generation ground-based extreme adaptive optics facilities (e.g. VLT-SPHERE, Gemini-GPI) are halfway through their principal surveys, it is imperative that the performance of different designs, post-processing algorithms, observing strategies, and survey results be compared in a consistent, statistically robust framework. In this paper, we argue that the current industry standard for such comparisons -- the contrast curve -- falls short of this mand"},"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":"1711.01215","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-11-03T15:52:29Z","cross_cats_sorted":[],"title_canon_sha256":"ac83c4afe7265e106bd49194204ab405cae5607f0c4383fcd5beebeac0b12574","abstract_canon_sha256":"bfa60ac9f8c62694fcfb6eb552000478ce3ab208731f0d16ba3b2c095f9f182f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:18.334841Z","signature_b64":"SMsLNT/4vPctNLS/j3dsywPFu06H8s+vjDO6stNP5qY1K0UPUNtwtwp1b70OWYorD3FfGjkJnvy6C2DdVnxPCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99b53dc9db76a4f74f1bac813b4348890fec44580e57033ece29f3eed257bc9f","last_reissued_at":"2026-05-18T00:27:18.334396Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:18.334396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A New Standard for Assessing the Performance of High Contrast Imaging Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Angelle Tanner, Carlos A. Gomez Gonzalez, Christian Marois, Dimitri Mawet, Garreth Ruane, Johan Mazoyer, Matthew A. Kenworthy, Olivier Absil, Rebecca Jensen-Clem, Ruslan Belikov, Thayne Currie","submitted_at":"2017-11-03T15:52:29Z","abstract_excerpt":"As planning for the next generation of high contrast imaging instruments (e.g. WFIRST, HabEx, and LUVOIR, TMT-PFI, EELT-EPICS) matures, and second-generation ground-based extreme adaptive optics facilities (e.g. VLT-SPHERE, Gemini-GPI) are halfway through their principal surveys, it is imperative that the performance of different designs, post-processing algorithms, observing strategies, and survey results be compared in a consistent, statistically robust framework. In this paper, we argue that the current industry standard for such comparisons -- the contrast curve -- falls short of this mand"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.01215","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":"1711.01215","created_at":"2026-05-18T00:27:18.334457+00:00"},{"alias_kind":"arxiv_version","alias_value":"1711.01215v1","created_at":"2026-05-18T00:27:18.334457+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.01215","created_at":"2026-05-18T00:27:18.334457+00:00"},{"alias_kind":"pith_short_12","alias_value":"TG2T3SO3O2SP","created_at":"2026-05-18T12:31:46.661854+00:00"},{"alias_kind":"pith_short_16","alias_value":"TG2T3SO3O2SPOTY3","created_at":"2026-05-18T12:31:46.661854+00:00"},{"alias_kind":"pith_short_8","alias_value":"TG2T3SO3","created_at":"2026-05-18T12:31:46.661854+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/TG2T3SO3O2SPOTY3VSATWQ2IRE","json":"https://pith.science/pith/TG2T3SO3O2SPOTY3VSATWQ2IRE.json","graph_json":"https://pith.science/api/pith-number/TG2T3SO3O2SPOTY3VSATWQ2IRE/graph.json","events_json":"https://pith.science/api/pith-number/TG2T3SO3O2SPOTY3VSATWQ2IRE/events.json","paper":"https://pith.science/paper/TG2T3SO3"},"agent_actions":{"view_html":"https://pith.science/pith/TG2T3SO3O2SPOTY3VSATWQ2IRE","download_json":"https://pith.science/pith/TG2T3SO3O2SPOTY3VSATWQ2IRE.json","view_paper":"https://pith.science/paper/TG2T3SO3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1711.01215&json=true","fetch_graph":"https://pith.science/api/pith-number/TG2T3SO3O2SPOTY3VSATWQ2IRE/graph.json","fetch_events":"https://pith.science/api/pith-number/TG2T3SO3O2SPOTY3VSATWQ2IRE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TG2T3SO3O2SPOTY3VSATWQ2IRE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TG2T3SO3O2SPOTY3VSATWQ2IRE/action/storage_attestation","attest_author":"https://pith.science/pith/TG2T3SO3O2SPOTY3VSATWQ2IRE/action/author_attestation","sign_citation":"https://pith.science/pith/TG2T3SO3O2SPOTY3VSATWQ2IRE/action/citation_signature","submit_replication":"https://pith.science/pith/TG2T3SO3O2SPOTY3VSATWQ2IRE/action/replication_record"}},"created_at":"2026-05-18T00:27:18.334457+00:00","updated_at":"2026-05-18T00:27:18.334457+00:00"}