{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:RMGPFIGSVZFK35VHRQXKAEVLPK","short_pith_number":"pith:RMGPFIGS","schema_version":"1.0","canonical_sha256":"8b0cf2a0d2ae4aadf6a78c2ea012ab7aad6b87ddcdb6e97305806d10bdb04b10","source":{"kind":"arxiv","id":"1807.00830","version":1},"attestation_state":"computed","paper":{"title":"The CMB angular power spectrum via component separation: a study on Planck data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"C. Umilt\\`a, J.F. Cardoso, K. Benabed, M. Le Jeune","submitted_at":"2018-07-02T18:00:06Z","abstract_excerpt":"We investigate the extent to which foreground cleaned CMB maps can be used to estimate the cosmological parameters at small scales. We use the SMICA method, a blind separation technique which works directly at the spectral level. In this work we focus on the small scales of the CMB angular power spectrum, which are chiefly affected by noise and extragalactic foregrounds, such as point sources. We adapt SMICA to use only cross-spectra between data maps, thus avoiding the noise bias. In this study, performed both on simulations and on Planck 2015 data, we fit for extragalactic point sources by m"},"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":"1807.00830","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2018-07-02T18:00:06Z","cross_cats_sorted":[],"title_canon_sha256":"d3af0b634f1fe33593252783a7046fbe1ce0d0685f417b709a43308266bca62c","abstract_canon_sha256":"79b8c84b34084a1fa3f86993396a6a7a1acccc5c843d8d35409391809e973aae"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:23.861299Z","signature_b64":"JgGE0ytYtzBGzwqopKBnXqrQLjrZ4npZZ13PUobHFjF8/6r/yR+RmpZzDBO1JIbx4/8d6s+C6XEWiJOI7z+oDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b0cf2a0d2ae4aadf6a78c2ea012ab7aad6b87ddcdb6e97305806d10bdb04b10","last_reissued_at":"2026-05-17T23:48:23.860762Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:23.860762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The CMB angular power spectrum via component separation: a study on Planck data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"C. Umilt\\`a, J.F. Cardoso, K. Benabed, M. Le Jeune","submitted_at":"2018-07-02T18:00:06Z","abstract_excerpt":"We investigate the extent to which foreground cleaned CMB maps can be used to estimate the cosmological parameters at small scales. We use the SMICA method, a blind separation technique which works directly at the spectral level. In this work we focus on the small scales of the CMB angular power spectrum, which are chiefly affected by noise and extragalactic foregrounds, such as point sources. We adapt SMICA to use only cross-spectra between data maps, thus avoiding the noise bias. In this study, performed both on simulations and on Planck 2015 data, we fit for extragalactic point sources by m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.00830","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":"1807.00830","created_at":"2026-05-17T23:48:23.860850+00:00"},{"alias_kind":"arxiv_version","alias_value":"1807.00830v1","created_at":"2026-05-17T23:48:23.860850+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.00830","created_at":"2026-05-17T23:48:23.860850+00:00"},{"alias_kind":"pith_short_12","alias_value":"RMGPFIGSVZFK","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_16","alias_value":"RMGPFIGSVZFK35VH","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_8","alias_value":"RMGPFIGS","created_at":"2026-05-18T12:32:50.500415+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/RMGPFIGSVZFK35VHRQXKAEVLPK","json":"https://pith.science/pith/RMGPFIGSVZFK35VHRQXKAEVLPK.json","graph_json":"https://pith.science/api/pith-number/RMGPFIGSVZFK35VHRQXKAEVLPK/graph.json","events_json":"https://pith.science/api/pith-number/RMGPFIGSVZFK35VHRQXKAEVLPK/events.json","paper":"https://pith.science/paper/RMGPFIGS"},"agent_actions":{"view_html":"https://pith.science/pith/RMGPFIGSVZFK35VHRQXKAEVLPK","download_json":"https://pith.science/pith/RMGPFIGSVZFK35VHRQXKAEVLPK.json","view_paper":"https://pith.science/paper/RMGPFIGS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1807.00830&json=true","fetch_graph":"https://pith.science/api/pith-number/RMGPFIGSVZFK35VHRQXKAEVLPK/graph.json","fetch_events":"https://pith.science/api/pith-number/RMGPFIGSVZFK35VHRQXKAEVLPK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RMGPFIGSVZFK35VHRQXKAEVLPK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RMGPFIGSVZFK35VHRQXKAEVLPK/action/storage_attestation","attest_author":"https://pith.science/pith/RMGPFIGSVZFK35VHRQXKAEVLPK/action/author_attestation","sign_citation":"https://pith.science/pith/RMGPFIGSVZFK35VHRQXKAEVLPK/action/citation_signature","submit_replication":"https://pith.science/pith/RMGPFIGSVZFK35VHRQXKAEVLPK/action/replication_record"}},"created_at":"2026-05-17T23:48:23.860850+00:00","updated_at":"2026-05-17T23:48:23.860850+00:00"}