{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:WFQMANKDCVPXSDAACWXPAJM7LQ","short_pith_number":"pith:WFQMANKD","schema_version":"1.0","canonical_sha256":"b160c03543155f790c0015aef0259f5c3094ead02358b7a642049a43bfa819c5","source":{"kind":"arxiv","id":"1801.02859","version":2},"attestation_state":"computed","paper":{"title":"Matched filter in the low-number count Poisson noise regime: an efficient and effective implementation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"(2) European Southern Observatory), Paola Andreani (2) ((1) Chip Computers Consulting, Roberto Vio (1)","submitted_at":"2018-01-09T10:06:22Z","abstract_excerpt":"The matched filter (MF) is widely used to detect signals hidden within the noise. If the noise is Gaussian, its performances are well-known and describable in an elegant analytical form. The treatment of non-Gaussian noises is often cumbersome as in most cases there is no analytical framework. This is true also for Poisson noise which, especially in the low-number count regime, presents the additional difficulty to be discrete. For this reason in the past methods have been proposed based on heuristic or semi-heuristic arguments. Recently, an analytical form of the MF has been introduced but th"},"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":"1801.02859","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-01-09T10:06:22Z","cross_cats_sorted":[],"title_canon_sha256":"0f84c96f93ebc65ad0ad910c6d3dfa145d7e5d8be36a36116025f25179ec624a","abstract_canon_sha256":"c287e66b2f752e2186aa895595d09b60783e5e88414676c159ddb5c1aedab954"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:43.654155Z","signature_b64":"rA3jY4YSt0dBbGQaiMWbQ9SYD1ISflhvA4buJK/cTD4eI9mNWzCKwO7DwqB1RStu7CTHU8D18PdBdsUIKYSzCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b160c03543155f790c0015aef0259f5c3094ead02358b7a642049a43bfa819c5","last_reissued_at":"2026-05-18T00:08:43.653448Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:43.653448Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Matched filter in the low-number count Poisson noise regime: an efficient and effective implementation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"(2) European Southern Observatory), Paola Andreani (2) ((1) Chip Computers Consulting, Roberto Vio (1)","submitted_at":"2018-01-09T10:06:22Z","abstract_excerpt":"The matched filter (MF) is widely used to detect signals hidden within the noise. If the noise is Gaussian, its performances are well-known and describable in an elegant analytical form. The treatment of non-Gaussian noises is often cumbersome as in most cases there is no analytical framework. This is true also for Poisson noise which, especially in the low-number count regime, presents the additional difficulty to be discrete. For this reason in the past methods have been proposed based on heuristic or semi-heuristic arguments. Recently, an analytical form of the MF has been introduced but th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.02859","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":"1801.02859","created_at":"2026-05-18T00:08:43.653560+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.02859v2","created_at":"2026-05-18T00:08:43.653560+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.02859","created_at":"2026-05-18T00:08:43.653560+00:00"},{"alias_kind":"pith_short_12","alias_value":"WFQMANKDCVPX","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_16","alias_value":"WFQMANKDCVPXSDAA","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_8","alias_value":"WFQMANKD","created_at":"2026-05-18T12:32:59.047623+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/WFQMANKDCVPXSDAACWXPAJM7LQ","json":"https://pith.science/pith/WFQMANKDCVPXSDAACWXPAJM7LQ.json","graph_json":"https://pith.science/api/pith-number/WFQMANKDCVPXSDAACWXPAJM7LQ/graph.json","events_json":"https://pith.science/api/pith-number/WFQMANKDCVPXSDAACWXPAJM7LQ/events.json","paper":"https://pith.science/paper/WFQMANKD"},"agent_actions":{"view_html":"https://pith.science/pith/WFQMANKDCVPXSDAACWXPAJM7LQ","download_json":"https://pith.science/pith/WFQMANKDCVPXSDAACWXPAJM7LQ.json","view_paper":"https://pith.science/paper/WFQMANKD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.02859&json=true","fetch_graph":"https://pith.science/api/pith-number/WFQMANKDCVPXSDAACWXPAJM7LQ/graph.json","fetch_events":"https://pith.science/api/pith-number/WFQMANKDCVPXSDAACWXPAJM7LQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WFQMANKDCVPXSDAACWXPAJM7LQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WFQMANKDCVPXSDAACWXPAJM7LQ/action/storage_attestation","attest_author":"https://pith.science/pith/WFQMANKDCVPXSDAACWXPAJM7LQ/action/author_attestation","sign_citation":"https://pith.science/pith/WFQMANKDCVPXSDAACWXPAJM7LQ/action/citation_signature","submit_replication":"https://pith.science/pith/WFQMANKDCVPXSDAACWXPAJM7LQ/action/replication_record"}},"created_at":"2026-05-18T00:08:43.653560+00:00","updated_at":"2026-05-18T00:08:43.653560+00:00"}