{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:HJ2VZB65BI6ZZ4U23LH7NRGLL6","short_pith_number":"pith:HJ2VZB65","schema_version":"1.0","canonical_sha256":"3a755c87dd0a3d9cf29adacff6c4cb5fb37d28adabe43deb081d494e5f023f7c","source":{"kind":"arxiv","id":"1409.5128","version":2},"attestation_state":"computed","paper":{"title":"Maximizing the ExoEarth Candidate Yield from a Future Direct Imaging Mission","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.EP"],"primary_cat":"astro-ph.SR","authors_text":"Aki Roberge, Avi Mandell, Christopher C. Stark, Tyler D. Robinson","submitted_at":"2014-09-17T20:00:10Z","abstract_excerpt":"ExoEarth yield is a critical science metric for future exoplanet imaging missions. Here we estimate exoEarth candidate yield using single visit completeness for a variety of mission design and astrophysical parameters. We review the methods used in previous yield calculations and show that the method choice can significantly impact yield estimates as well as how the yield responds to mission parameters. We introduce a method, called Altruistic Yield Optimization, that optimizes the target list and exposure times to maximize mission yield, adapts maximally to changes in mission parameters, and "},"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":"1409.5128","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2014-09-17T20:00:10Z","cross_cats_sorted":["astro-ph.EP"],"title_canon_sha256":"fdfa48982b5158e9fa0470b38f187adab95d99c228deea0ab894e11b6c419bc4","abstract_canon_sha256":"d3f9c31bebc338c55baf7b7d03ac2fb3e9e7118f3f9b5bf88fdc5b92ce925dee"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:42:01.652476Z","signature_b64":"lyP/FamFKKdVD4zdrgqXlM9mFmcHiQgItz008LtDbgaZj2LUyaLtqjQX4XzyD8cVjCVV3Beo0IbGtdkU96WeCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a755c87dd0a3d9cf29adacff6c4cb5fb37d28adabe43deb081d494e5f023f7c","last_reissued_at":"2026-05-18T01:42:01.652114Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:42:01.652114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Maximizing the ExoEarth Candidate Yield from a Future Direct Imaging Mission","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.EP"],"primary_cat":"astro-ph.SR","authors_text":"Aki Roberge, Avi Mandell, Christopher C. Stark, Tyler D. Robinson","submitted_at":"2014-09-17T20:00:10Z","abstract_excerpt":"ExoEarth yield is a critical science metric for future exoplanet imaging missions. Here we estimate exoEarth candidate yield using single visit completeness for a variety of mission design and astrophysical parameters. We review the methods used in previous yield calculations and show that the method choice can significantly impact yield estimates as well as how the yield responds to mission parameters. We introduce a method, called Altruistic Yield Optimization, that optimizes the target list and exposure times to maximize mission yield, adapts maximally to changes in mission parameters, and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.5128","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":"1409.5128","created_at":"2026-05-18T01:42:01.652163+00:00"},{"alias_kind":"arxiv_version","alias_value":"1409.5128v2","created_at":"2026-05-18T01:42:01.652163+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.5128","created_at":"2026-05-18T01:42:01.652163+00:00"},{"alias_kind":"pith_short_12","alias_value":"HJ2VZB65BI6Z","created_at":"2026-05-18T12:28:30.664211+00:00"},{"alias_kind":"pith_short_16","alias_value":"HJ2VZB65BI6ZZ4U2","created_at":"2026-05-18T12:28:30.664211+00:00"},{"alias_kind":"pith_short_8","alias_value":"HJ2VZB65","created_at":"2026-05-18T12:28:30.664211+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":6,"internal_anchor_count":6,"sample":[{"citing_arxiv_id":"2606.04105","citing_title":"Predictive Rankings of the Probability for Temperate Terrestrial Worlds for the HWO ExEP Mission Star List","ref_index":64,"is_internal_anchor":true},{"citing_arxiv_id":"2510.18231","citing_title":"SKYSURF-11: A New Zodiacal Light Model Optimized for Optical Wavelengths","ref_index":96,"is_internal_anchor":true},{"citing_arxiv_id":"2605.12647","citing_title":"The HAges Catalog: Stellar Ages for High Priority HWO Target Stars","ref_index":119,"is_internal_anchor":true},{"citing_arxiv_id":"2604.26925","citing_title":"The effect of spectral resolution on biosignature detection via reflected light observations of the Earth through time","ref_index":56,"is_internal_anchor":true},{"citing_arxiv_id":"2605.06648","citing_title":"A preliminary exploration of the effects of baseline length for the LIFE space mission","ref_index":89,"is_internal_anchor":true},{"citing_arxiv_id":"2605.04187","citing_title":"Impact of Climate States and Seasons on Future Exo-Earth Observations","ref_index":208,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HJ2VZB65BI6ZZ4U23LH7NRGLL6","json":"https://pith.science/pith/HJ2VZB65BI6ZZ4U23LH7NRGLL6.json","graph_json":"https://pith.science/api/pith-number/HJ2VZB65BI6ZZ4U23LH7NRGLL6/graph.json","events_json":"https://pith.science/api/pith-number/HJ2VZB65BI6ZZ4U23LH7NRGLL6/events.json","paper":"https://pith.science/paper/HJ2VZB65"},"agent_actions":{"view_html":"https://pith.science/pith/HJ2VZB65BI6ZZ4U23LH7NRGLL6","download_json":"https://pith.science/pith/HJ2VZB65BI6ZZ4U23LH7NRGLL6.json","view_paper":"https://pith.science/paper/HJ2VZB65","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1409.5128&json=true","fetch_graph":"https://pith.science/api/pith-number/HJ2VZB65BI6ZZ4U23LH7NRGLL6/graph.json","fetch_events":"https://pith.science/api/pith-number/HJ2VZB65BI6ZZ4U23LH7NRGLL6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HJ2VZB65BI6ZZ4U23LH7NRGLL6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HJ2VZB65BI6ZZ4U23LH7NRGLL6/action/storage_attestation","attest_author":"https://pith.science/pith/HJ2VZB65BI6ZZ4U23LH7NRGLL6/action/author_attestation","sign_citation":"https://pith.science/pith/HJ2VZB65BI6ZZ4U23LH7NRGLL6/action/citation_signature","submit_replication":"https://pith.science/pith/HJ2VZB65BI6ZZ4U23LH7NRGLL6/action/replication_record"}},"created_at":"2026-05-18T01:42:01.652163+00:00","updated_at":"2026-05-18T01:42:01.652163+00:00"}