{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:GSD2QPAJ6DQXFFVDMV2OFP3HVP","short_pith_number":"pith:GSD2QPAJ","schema_version":"1.0","canonical_sha256":"3487a83c09f0e17296a36574e2bf67abc0f2f533d322641d82c48d825096ef7b","source":{"kind":"arxiv","id":"1712.02078","version":2},"attestation_state":"computed","paper":{"title":"Faceting for direction-dependent spectral deconvolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"B. Hugo, C. Tasse, L. Bester, M. Atemkeng, M.J. Hardcastle, M. Mirmont, O. Smirnov, R. Lakhoo, S. Perkins, T. Shimwell","submitted_at":"2017-12-06T08:12:57Z","abstract_excerpt":"The new generation of radio interferometers is characterized by high sensitivity, wide fields of view and large fractional bandwidth. To synthesize the deepest images enabled by the high dynamic range of these instruments requires us to take into account the direction-dependent Jones matrices, while estimating the spectral properties of the sky in the imaging and deconvolution algorithms.\n  In this paper we discuss and implement a wide-band wide-field spectral deconvolution framework (DDFacet) based on image plane faceting, that takes into account generic direction-dependent effects. Specifica"},"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":"1712.02078","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-12-06T08:12:57Z","cross_cats_sorted":[],"title_canon_sha256":"781df04535acf985616422a87585237d24a7fb1e222d1975fe542a253f256b6d","abstract_canon_sha256":"3a344cadbc9bc04e5e9be7df0965dba658d4f7b6c34e9e736ca3849e2ff72d48"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:41.974830Z","signature_b64":"gSbuRbiXEElqL7rNgGqoFDt53W7geeDfS9dTrTORV1RbxDEkLkiej1Qkji1YGmtaRbXgLoi2ZZhZPvduVSWQDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3487a83c09f0e17296a36574e2bf67abc0f2f533d322641d82c48d825096ef7b","last_reissued_at":"2026-05-18T00:17:41.974170Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:41.974170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Faceting for direction-dependent spectral deconvolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"B. Hugo, C. Tasse, L. Bester, M. Atemkeng, M.J. Hardcastle, M. Mirmont, O. Smirnov, R. Lakhoo, S. Perkins, T. Shimwell","submitted_at":"2017-12-06T08:12:57Z","abstract_excerpt":"The new generation of radio interferometers is characterized by high sensitivity, wide fields of view and large fractional bandwidth. To synthesize the deepest images enabled by the high dynamic range of these instruments requires us to take into account the direction-dependent Jones matrices, while estimating the spectral properties of the sky in the imaging and deconvolution algorithms.\n  In this paper we discuss and implement a wide-band wide-field spectral deconvolution framework (DDFacet) based on image plane faceting, that takes into account generic direction-dependent effects. Specifica"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.02078","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":"1712.02078","created_at":"2026-05-18T00:17:41.974267+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.02078v2","created_at":"2026-05-18T00:17:41.974267+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.02078","created_at":"2026-05-18T00:17:41.974267+00:00"},{"alias_kind":"pith_short_12","alias_value":"GSD2QPAJ6DQX","created_at":"2026-05-18T12:31:18.294218+00:00"},{"alias_kind":"pith_short_16","alias_value":"GSD2QPAJ6DQXFFVD","created_at":"2026-05-18T12:31:18.294218+00:00"},{"alias_kind":"pith_short_8","alias_value":"GSD2QPAJ","created_at":"2026-05-18T12:31:18.294218+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":3,"sample":[{"citing_arxiv_id":"2606.25158","citing_title":"Early phases of star formation with SKAO: synchrotron emission from dense starless cores in molecular clouds","ref_index":11,"is_internal_anchor":true},{"citing_arxiv_id":"2606.18333","citing_title":"Polarisation and Faraday rotation measure imaging at metre wavelengths with sub-arcsecond resolution: a foundational calibration strategy","ref_index":60,"is_internal_anchor":true},{"citing_arxiv_id":"2606.22432","citing_title":"Tracing Large-scale Structure with the MeerKLASS On-the-Fly Survey: Angular Clustering of Radio Sources at 816 MHz","ref_index":50,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GSD2QPAJ6DQXFFVDMV2OFP3HVP","json":"https://pith.science/pith/GSD2QPAJ6DQXFFVDMV2OFP3HVP.json","graph_json":"https://pith.science/api/pith-number/GSD2QPAJ6DQXFFVDMV2OFP3HVP/graph.json","events_json":"https://pith.science/api/pith-number/GSD2QPAJ6DQXFFVDMV2OFP3HVP/events.json","paper":"https://pith.science/paper/GSD2QPAJ"},"agent_actions":{"view_html":"https://pith.science/pith/GSD2QPAJ6DQXFFVDMV2OFP3HVP","download_json":"https://pith.science/pith/GSD2QPAJ6DQXFFVDMV2OFP3HVP.json","view_paper":"https://pith.science/paper/GSD2QPAJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.02078&json=true","fetch_graph":"https://pith.science/api/pith-number/GSD2QPAJ6DQXFFVDMV2OFP3HVP/graph.json","fetch_events":"https://pith.science/api/pith-number/GSD2QPAJ6DQXFFVDMV2OFP3HVP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GSD2QPAJ6DQXFFVDMV2OFP3HVP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GSD2QPAJ6DQXFFVDMV2OFP3HVP/action/storage_attestation","attest_author":"https://pith.science/pith/GSD2QPAJ6DQXFFVDMV2OFP3HVP/action/author_attestation","sign_citation":"https://pith.science/pith/GSD2QPAJ6DQXFFVDMV2OFP3HVP/action/citation_signature","submit_replication":"https://pith.science/pith/GSD2QPAJ6DQXFFVDMV2OFP3HVP/action/replication_record"}},"created_at":"2026-05-18T00:17:41.974267+00:00","updated_at":"2026-05-18T00:17:41.974267+00:00"}