{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:PE237VKHZ7LME3LNUG2UH5VHQH","short_pith_number":"pith:PE237VKH","schema_version":"1.0","canonical_sha256":"7935bfd547cfd6c26d6da1b543f6a781f76fdba7974f9659a8a1330ec1e03660","source":{"kind":"arxiv","id":"1502.05037","version":1},"attestation_state":"computed","paper":{"title":"Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Jason D. McEwen, Rafael E. Carrillo, Yves Wiaux","submitted_at":"2015-02-17T06:17:55Z","abstract_excerpt":"In recent works, sparse models and convex optimization techniques have been applied to radio-interferometric (RI) imaging showing the potential to outperform state-of-the-art imaging algorithms in the field. In this talk, I will review our latest contributions in RI imaging, which leverage the versatility of convex optimization to both handle realistic continuous visibilities and offer a highly parallelizable structure paving the way to high-dimensional data scalability. Firstly, I will review our recently proposed average sparsity approach, SARA, which relies on the observation that natural i"},"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":"1502.05037","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2015-02-17T06:17:55Z","cross_cats_sorted":[],"title_canon_sha256":"87a0279e2e32da719c1e4348df7a7516df914596f77dfbec782dc81a5ca12bb0","abstract_canon_sha256":"efabdf1e07a3ce44bbae614077991ea39c0184dba0b6355917614a1f9f48ab0e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:26:52.502131Z","signature_b64":"/9/GCn9Nlhgv8YvzDO7hJM1grVV0wL5nZO/Nyp56pbbKJLwLh9BPKP6SsG6Lkk6lMwo8K9t8iEBBu4UZp/OEDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7935bfd547cfd6c26d6da1b543f6a781f76fdba7974f9659a8a1330ec1e03660","last_reissued_at":"2026-05-18T02:26:52.501607Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:26:52.501607Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Jason D. McEwen, Rafael E. Carrillo, Yves Wiaux","submitted_at":"2015-02-17T06:17:55Z","abstract_excerpt":"In recent works, sparse models and convex optimization techniques have been applied to radio-interferometric (RI) imaging showing the potential to outperform state-of-the-art imaging algorithms in the field. In this talk, I will review our latest contributions in RI imaging, which leverage the versatility of convex optimization to both handle realistic continuous visibilities and offer a highly parallelizable structure paving the way to high-dimensional data scalability. Firstly, I will review our recently proposed average sparsity approach, SARA, which relies on the observation that natural i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.05037","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":"1502.05037","created_at":"2026-05-18T02:26:52.501682+00:00"},{"alias_kind":"arxiv_version","alias_value":"1502.05037v1","created_at":"2026-05-18T02:26:52.501682+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.05037","created_at":"2026-05-18T02:26:52.501682+00:00"},{"alias_kind":"pith_short_12","alias_value":"PE237VKHZ7LM","created_at":"2026-05-18T12:29:37.295048+00:00"},{"alias_kind":"pith_short_16","alias_value":"PE237VKHZ7LME3LN","created_at":"2026-05-18T12:29:37.295048+00:00"},{"alias_kind":"pith_short_8","alias_value":"PE237VKH","created_at":"2026-05-18T12:29:37.295048+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/PE237VKHZ7LME3LNUG2UH5VHQH","json":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH.json","graph_json":"https://pith.science/api/pith-number/PE237VKHZ7LME3LNUG2UH5VHQH/graph.json","events_json":"https://pith.science/api/pith-number/PE237VKHZ7LME3LNUG2UH5VHQH/events.json","paper":"https://pith.science/paper/PE237VKH"},"agent_actions":{"view_html":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH","download_json":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH.json","view_paper":"https://pith.science/paper/PE237VKH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1502.05037&json=true","fetch_graph":"https://pith.science/api/pith-number/PE237VKHZ7LME3LNUG2UH5VHQH/graph.json","fetch_events":"https://pith.science/api/pith-number/PE237VKHZ7LME3LNUG2UH5VHQH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH/action/storage_attestation","attest_author":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH/action/author_attestation","sign_citation":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH/action/citation_signature","submit_replication":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH/action/replication_record"}},"created_at":"2026-05-18T02:26:52.501682+00:00","updated_at":"2026-05-18T02:26:52.501682+00:00"}