{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:VDYNWAONJLYHO2AL675LKD7RLI","short_pith_number":"pith:VDYNWAON","schema_version":"1.0","canonical_sha256":"a8f0db01cd4af077680bf7fab50ff15a1072554b666357bf58f8847319881410","source":{"kind":"arxiv","id":"1611.00422","version":2},"attestation_state":"computed","paper":{"title":"Optimal stellar photometry for multi-conjugate adaptive optics systems using science-based metrics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"A. W. McConnachie, D. Massari, D. R. Andersen, G. Bono, G. Fiorentino, J.-P. Veran, P. B. Stetson, P. Turri","submitted_at":"2016-11-01T23:37:05Z","abstract_excerpt":"We present a detailed discussion of how to obtain precise stellar photometry in crowded fields using images from multi-conjugate adaptive optics (MCAO) systems, with the intent of informing the scientific development of this key technology for the Extremely Large Telescopes. We use deep J and K_s exposures of NGC 1851 taken with the Gemini Multi-Conjugate Adaptive Optics System (GeMS) on Gemini South to quantify the performance of the instrument and to develop an optimal strategy for stellar photometry using PSF-fitting techniques. We judge the success of the various methods we employ by using"},"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":"1611.00422","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2016-11-01T23:37:05Z","cross_cats_sorted":[],"title_canon_sha256":"a70223d7640a119eb47668aa2a8b4bb54a9192c2756435f2555b0e481e8f934a","abstract_canon_sha256":"6ffda595502a055de8680a1c4d67bf6f3ea5f84093597f392cdb376c7bb51255"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:39.260183Z","signature_b64":"BWDMWK+vZ8aQJP9j5tEaJab1DUss1XJ2lflnx+WTRbLdSnsntBQQJ2s5BkgyTAJs0QlbzbL/9nHtVpub+8EpAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a8f0db01cd4af077680bf7fab50ff15a1072554b666357bf58f8847319881410","last_reissued_at":"2026-05-18T00:46:39.259536Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:39.259536Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimal stellar photometry for multi-conjugate adaptive optics systems using science-based metrics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"A. W. McConnachie, D. Massari, D. R. Andersen, G. Bono, G. Fiorentino, J.-P. Veran, P. B. Stetson, P. Turri","submitted_at":"2016-11-01T23:37:05Z","abstract_excerpt":"We present a detailed discussion of how to obtain precise stellar photometry in crowded fields using images from multi-conjugate adaptive optics (MCAO) systems, with the intent of informing the scientific development of this key technology for the Extremely Large Telescopes. We use deep J and K_s exposures of NGC 1851 taken with the Gemini Multi-Conjugate Adaptive Optics System (GeMS) on Gemini South to quantify the performance of the instrument and to develop an optimal strategy for stellar photometry using PSF-fitting techniques. We judge the success of the various methods we employ by using"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.00422","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":"1611.00422","created_at":"2026-05-18T00:46:39.259641+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.00422v2","created_at":"2026-05-18T00:46:39.259641+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.00422","created_at":"2026-05-18T00:46:39.259641+00:00"},{"alias_kind":"pith_short_12","alias_value":"VDYNWAONJLYH","created_at":"2026-05-18T12:30:48.956258+00:00"},{"alias_kind":"pith_short_16","alias_value":"VDYNWAONJLYHO2AL","created_at":"2026-05-18T12:30:48.956258+00:00"},{"alias_kind":"pith_short_8","alias_value":"VDYNWAON","created_at":"2026-05-18T12:30:48.956258+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/VDYNWAONJLYHO2AL675LKD7RLI","json":"https://pith.science/pith/VDYNWAONJLYHO2AL675LKD7RLI.json","graph_json":"https://pith.science/api/pith-number/VDYNWAONJLYHO2AL675LKD7RLI/graph.json","events_json":"https://pith.science/api/pith-number/VDYNWAONJLYHO2AL675LKD7RLI/events.json","paper":"https://pith.science/paper/VDYNWAON"},"agent_actions":{"view_html":"https://pith.science/pith/VDYNWAONJLYHO2AL675LKD7RLI","download_json":"https://pith.science/pith/VDYNWAONJLYHO2AL675LKD7RLI.json","view_paper":"https://pith.science/paper/VDYNWAON","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.00422&json=true","fetch_graph":"https://pith.science/api/pith-number/VDYNWAONJLYHO2AL675LKD7RLI/graph.json","fetch_events":"https://pith.science/api/pith-number/VDYNWAONJLYHO2AL675LKD7RLI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VDYNWAONJLYHO2AL675LKD7RLI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VDYNWAONJLYHO2AL675LKD7RLI/action/storage_attestation","attest_author":"https://pith.science/pith/VDYNWAONJLYHO2AL675LKD7RLI/action/author_attestation","sign_citation":"https://pith.science/pith/VDYNWAONJLYHO2AL675LKD7RLI/action/citation_signature","submit_replication":"https://pith.science/pith/VDYNWAONJLYHO2AL675LKD7RLI/action/replication_record"}},"created_at":"2026-05-18T00:46:39.259641+00:00","updated_at":"2026-05-18T00:46:39.259641+00:00"}