{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:YRBCSMZ7OPB35NKLSTPN7DVVP3","short_pith_number":"pith:YRBCSMZ7","schema_version":"1.0","canonical_sha256":"c44229333f73c3beb54b94dedf8eb57ee9697afaef7560efd04abba5bf5c6856","source":{"kind":"arxiv","id":"1911.01298","version":1},"attestation_state":"computed","paper":{"title":"Needlet thresholding methods in component separation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"A. Renzi, C. Baccigalupi, D. Bertacca, D. Marinucci, D. Poletti, F. K. Hansen, F. Oppizzi, M. Liguori","submitted_at":"2019-11-04T15:58:28Z","abstract_excerpt":"Foreground components in the Cosmic Microwave Background (CMB) are sparse in a needlet representation, due to their specific morphological features (anisotropy, non-Gaussianity). This leads to the possibility of applying needlet thresholding procedures as a component separation tool. In this work, we develop algorithms based on different needlet-thresholding schemes and use them as extensions of existing, well-known component separation techniques, namely ILC and template-fitting. We test soft- and hard-thresholding schemes, using different procedures to set the optimal threshold level. We fin"},"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":"1911.01298","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2019-11-04T15:58:28Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"5ff349dedeae217eac69d2d4e1277326ef30504102c6b93144b5b6b31bd979f4","abstract_canon_sha256":"698d8ad75025b1fb6d551e97b99474fd47ab2c316a9336be0107477d35c18413"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:35:57.753103Z","signature_b64":"tAfYQynywwuugPNhGVBPRdI/xU9CQ7pKBwzbH2xSCj9abiNmLHVp37d7FRdaiH2HB7/khaFsIUfp3ryPV3EGCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c44229333f73c3beb54b94dedf8eb57ee9697afaef7560efd04abba5bf5c6856","last_reissued_at":"2026-07-05T03:35:57.752607Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:35:57.752607Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Needlet thresholding methods in component separation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"A. Renzi, C. Baccigalupi, D. Bertacca, D. Marinucci, D. Poletti, F. K. Hansen, F. Oppizzi, M. Liguori","submitted_at":"2019-11-04T15:58:28Z","abstract_excerpt":"Foreground components in the Cosmic Microwave Background (CMB) are sparse in a needlet representation, due to their specific morphological features (anisotropy, non-Gaussianity). This leads to the possibility of applying needlet thresholding procedures as a component separation tool. In this work, we develop algorithms based on different needlet-thresholding schemes and use them as extensions of existing, well-known component separation techniques, namely ILC and template-fitting. We test soft- and hard-thresholding schemes, using different procedures to set the optimal threshold level. We fin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.01298","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/1911.01298/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":"1911.01298","created_at":"2026-07-05T03:35:57.752668+00:00"},{"alias_kind":"arxiv_version","alias_value":"1911.01298v1","created_at":"2026-07-05T03:35:57.752668+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.01298","created_at":"2026-07-05T03:35:57.752668+00:00"},{"alias_kind":"pith_short_12","alias_value":"YRBCSMZ7OPB3","created_at":"2026-07-05T03:35:57.752668+00:00"},{"alias_kind":"pith_short_16","alias_value":"YRBCSMZ7OPB35NKL","created_at":"2026-07-05T03:35:57.752668+00:00"},{"alias_kind":"pith_short_8","alias_value":"YRBCSMZ7","created_at":"2026-07-05T03:35:57.752668+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/YRBCSMZ7OPB35NKLSTPN7DVVP3","json":"https://pith.science/pith/YRBCSMZ7OPB35NKLSTPN7DVVP3.json","graph_json":"https://pith.science/api/pith-number/YRBCSMZ7OPB35NKLSTPN7DVVP3/graph.json","events_json":"https://pith.science/api/pith-number/YRBCSMZ7OPB35NKLSTPN7DVVP3/events.json","paper":"https://pith.science/paper/YRBCSMZ7"},"agent_actions":{"view_html":"https://pith.science/pith/YRBCSMZ7OPB35NKLSTPN7DVVP3","download_json":"https://pith.science/pith/YRBCSMZ7OPB35NKLSTPN7DVVP3.json","view_paper":"https://pith.science/paper/YRBCSMZ7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1911.01298&json=true","fetch_graph":"https://pith.science/api/pith-number/YRBCSMZ7OPB35NKLSTPN7DVVP3/graph.json","fetch_events":"https://pith.science/api/pith-number/YRBCSMZ7OPB35NKLSTPN7DVVP3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YRBCSMZ7OPB35NKLSTPN7DVVP3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YRBCSMZ7OPB35NKLSTPN7DVVP3/action/storage_attestation","attest_author":"https://pith.science/pith/YRBCSMZ7OPB35NKLSTPN7DVVP3/action/author_attestation","sign_citation":"https://pith.science/pith/YRBCSMZ7OPB35NKLSTPN7DVVP3/action/citation_signature","submit_replication":"https://pith.science/pith/YRBCSMZ7OPB35NKLSTPN7DVVP3/action/replication_record"}},"created_at":"2026-07-05T03:35:57.752668+00:00","updated_at":"2026-07-05T03:35:57.752668+00:00"}