{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:BDDJDOPSPODJEVIY43CQQ7F6YT","short_pith_number":"pith:BDDJDOPS","schema_version":"1.0","canonical_sha256":"08c691b9f27b86925518e6c5087cbec4c5f4fb777c2d5585b2267b9d74372a9a","source":{"kind":"arxiv","id":"1104.0683","version":1},"attestation_state":"computed","paper":{"title":"A new tool for image analysis based on Chebyshev rational functions: CHEF functions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.CO"],"primary_cat":"astro-ph.IM","authors_text":"N. Ben\\'itez, Y. Jim\\'enez-Teja","submitted_at":"2011-04-04T20:30:11Z","abstract_excerpt":"We introduce a new approach to the modelling of the light distribution of galaxies, an orthonormal polar base formed by a combination of Chebyshev rational functions and Fourier polynomials that we call CHEF functions, or CHEFs. We have developed an orthonormalization process to apply this basis to pixelized images, and implemented the method as a Python pipeline. The new basis displays remarkable flexibility, being able to accurately fit all kinds of galaxy shapes, including irregulars, spirals, ellipticals, highly compact and highly elongated galaxies. It does this while using fewer componen"},"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":"1104.0683","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2011-04-04T20:30:11Z","cross_cats_sorted":["astro-ph.CO"],"title_canon_sha256":"7fe908a8881e8eea6c9e71f0c385e43c266e40e6996b37b811b470b1d5c5995a","abstract_canon_sha256":"78436e340d670270134e87aeaf17b918560750f5b04f5b88627c4e0f20e9c3f6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:02:38.185626Z","signature_b64":"EwveJv6eDKLTMhbaV7g/tV9iMN8ol9GGiFywO+dNaAg0Az5myFGmzp/G1RPdug5mIxrCIRyDOBgBgCGvAEnZCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08c691b9f27b86925518e6c5087cbec4c5f4fb777c2d5585b2267b9d74372a9a","last_reissued_at":"2026-05-18T02:02:38.184968Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:02:38.184968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A new tool for image analysis based on Chebyshev rational functions: CHEF functions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.CO"],"primary_cat":"astro-ph.IM","authors_text":"N. Ben\\'itez, Y. Jim\\'enez-Teja","submitted_at":"2011-04-04T20:30:11Z","abstract_excerpt":"We introduce a new approach to the modelling of the light distribution of galaxies, an orthonormal polar base formed by a combination of Chebyshev rational functions and Fourier polynomials that we call CHEF functions, or CHEFs. We have developed an orthonormalization process to apply this basis to pixelized images, and implemented the method as a Python pipeline. The new basis displays remarkable flexibility, being able to accurately fit all kinds of galaxy shapes, including irregulars, spirals, ellipticals, highly compact and highly elongated galaxies. It does this while using fewer componen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1104.0683","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":"1104.0683","created_at":"2026-05-18T02:02:38.185058+00:00"},{"alias_kind":"arxiv_version","alias_value":"1104.0683v1","created_at":"2026-05-18T02:02:38.185058+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1104.0683","created_at":"2026-05-18T02:02:38.185058+00:00"},{"alias_kind":"pith_short_12","alias_value":"BDDJDOPSPODJ","created_at":"2026-05-18T12:26:24.575870+00:00"},{"alias_kind":"pith_short_16","alias_value":"BDDJDOPSPODJEVIY","created_at":"2026-05-18T12:26:24.575870+00:00"},{"alias_kind":"pith_short_8","alias_value":"BDDJDOPS","created_at":"2026-05-18T12:26:24.575870+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/BDDJDOPSPODJEVIY43CQQ7F6YT","json":"https://pith.science/pith/BDDJDOPSPODJEVIY43CQQ7F6YT.json","graph_json":"https://pith.science/api/pith-number/BDDJDOPSPODJEVIY43CQQ7F6YT/graph.json","events_json":"https://pith.science/api/pith-number/BDDJDOPSPODJEVIY43CQQ7F6YT/events.json","paper":"https://pith.science/paper/BDDJDOPS"},"agent_actions":{"view_html":"https://pith.science/pith/BDDJDOPSPODJEVIY43CQQ7F6YT","download_json":"https://pith.science/pith/BDDJDOPSPODJEVIY43CQQ7F6YT.json","view_paper":"https://pith.science/paper/BDDJDOPS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1104.0683&json=true","fetch_graph":"https://pith.science/api/pith-number/BDDJDOPSPODJEVIY43CQQ7F6YT/graph.json","fetch_events":"https://pith.science/api/pith-number/BDDJDOPSPODJEVIY43CQQ7F6YT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BDDJDOPSPODJEVIY43CQQ7F6YT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BDDJDOPSPODJEVIY43CQQ7F6YT/action/storage_attestation","attest_author":"https://pith.science/pith/BDDJDOPSPODJEVIY43CQQ7F6YT/action/author_attestation","sign_citation":"https://pith.science/pith/BDDJDOPSPODJEVIY43CQQ7F6YT/action/citation_signature","submit_replication":"https://pith.science/pith/BDDJDOPSPODJEVIY43CQQ7F6YT/action/replication_record"}},"created_at":"2026-05-18T02:02:38.185058+00:00","updated_at":"2026-05-18T02:02:38.185058+00:00"}