{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:G2NVUUTKKJ63XINK2ZC6PCEE6G","short_pith_number":"pith:G2NVUUTK","schema_version":"1.0","canonical_sha256":"369b5a526a527dbba1aad645e78884f1856bd93d1759919680e3700d2913e8f2","source":{"kind":"arxiv","id":"2111.11240","version":1},"attestation_state":"computed","paper":{"title":"Multi-Resolution HEALPix Maps for Multi-Wavelength and Multi-Messenger Astronomy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Alyson Joens, D. Tak, E. Burns, I. Martinez-Castellanos, Jeremy S. Perkins, Judith L. Racusin, Leo P. Singer","submitted_at":"2021-11-22T14:44:45Z","abstract_excerpt":"HEALPix -- the Hierarchical Equal Area isoLatitude Pixelization -- has become a standard in high-energy and gravitational wave astronomy. Originally developed to improve the efficiency of all-sky Fourier analyses, it is now also utilized to share sky localization information. When used for this purpose the need for a homogeneous all-sky grid represents a limitation that hinders a broader community adoption. This work presents mhealpy, a Python library able to create, handle and analyze multi-resolution maps, a solution to this problem. It supports efficient pixel querying, arithmetic operation"},"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":"2111.11240","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2021-11-22T14:44:45Z","cross_cats_sorted":[],"title_canon_sha256":"70bac406132331f3820611650acb069e096a725805146a3f88ad9615c942364f","abstract_canon_sha256":"54d1ef7f2ccbd0bfa4693fc8ea9dee25544b3785a81b8a0398a7c3686809fd26"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:23:39.891528Z","signature_b64":"NThX4UKcRHwS8rwFJwJrkhB94WYzTMU2BBRAc2UfIpJhfau3KhIFi+DYuZMMfh1J1F0uV57WJDrTiUh65a4hCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"369b5a526a527dbba1aad645e78884f1856bd93d1759919680e3700d2913e8f2","last_reissued_at":"2026-07-05T04:23:39.891059Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:23:39.891059Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-Resolution HEALPix Maps for Multi-Wavelength and Multi-Messenger Astronomy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Alyson Joens, D. Tak, E. Burns, I. Martinez-Castellanos, Jeremy S. Perkins, Judith L. Racusin, Leo P. Singer","submitted_at":"2021-11-22T14:44:45Z","abstract_excerpt":"HEALPix -- the Hierarchical Equal Area isoLatitude Pixelization -- has become a standard in high-energy and gravitational wave astronomy. Originally developed to improve the efficiency of all-sky Fourier analyses, it is now also utilized to share sky localization information. When used for this purpose the need for a homogeneous all-sky grid represents a limitation that hinders a broader community adoption. This work presents mhealpy, a Python library able to create, handle and analyze multi-resolution maps, a solution to this problem. It supports efficient pixel querying, arithmetic operation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.11240","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/2111.11240/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":"2111.11240","created_at":"2026-07-05T04:23:39.891117+00:00"},{"alias_kind":"arxiv_version","alias_value":"2111.11240v1","created_at":"2026-07-05T04:23:39.891117+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.11240","created_at":"2026-07-05T04:23:39.891117+00:00"},{"alias_kind":"pith_short_12","alias_value":"G2NVUUTKKJ63","created_at":"2026-07-05T04:23:39.891117+00:00"},{"alias_kind":"pith_short_16","alias_value":"G2NVUUTKKJ63XINK","created_at":"2026-07-05T04:23:39.891117+00:00"},{"alias_kind":"pith_short_8","alias_value":"G2NVUUTK","created_at":"2026-07-05T04:23:39.891117+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/G2NVUUTKKJ63XINK2ZC6PCEE6G","json":"https://pith.science/pith/G2NVUUTKKJ63XINK2ZC6PCEE6G.json","graph_json":"https://pith.science/api/pith-number/G2NVUUTKKJ63XINK2ZC6PCEE6G/graph.json","events_json":"https://pith.science/api/pith-number/G2NVUUTKKJ63XINK2ZC6PCEE6G/events.json","paper":"https://pith.science/paper/G2NVUUTK"},"agent_actions":{"view_html":"https://pith.science/pith/G2NVUUTKKJ63XINK2ZC6PCEE6G","download_json":"https://pith.science/pith/G2NVUUTKKJ63XINK2ZC6PCEE6G.json","view_paper":"https://pith.science/paper/G2NVUUTK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2111.11240&json=true","fetch_graph":"https://pith.science/api/pith-number/G2NVUUTKKJ63XINK2ZC6PCEE6G/graph.json","fetch_events":"https://pith.science/api/pith-number/G2NVUUTKKJ63XINK2ZC6PCEE6G/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G2NVUUTKKJ63XINK2ZC6PCEE6G/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G2NVUUTKKJ63XINK2ZC6PCEE6G/action/storage_attestation","attest_author":"https://pith.science/pith/G2NVUUTKKJ63XINK2ZC6PCEE6G/action/author_attestation","sign_citation":"https://pith.science/pith/G2NVUUTKKJ63XINK2ZC6PCEE6G/action/citation_signature","submit_replication":"https://pith.science/pith/G2NVUUTKKJ63XINK2ZC6PCEE6G/action/replication_record"}},"created_at":"2026-07-05T04:23:39.891117+00:00","updated_at":"2026-07-05T04:23:39.891117+00:00"}