{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:GLVVA7U2DCCTEKTCHBAOCFDF3T","short_pith_number":"pith:GLVVA7U2","schema_version":"1.0","canonical_sha256":"32eb507e9a1885322a623840e11465dcc4f2765ad254481f4ffc751f94013057","source":{"kind":"arxiv","id":"1906.05335","version":1},"attestation_state":"computed","paper":{"title":"Estimation of burst-mode LDA power spectra","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Clara M. Velte, Preben Buchhave, William K. George","submitted_at":"2019-06-12T19:16:28Z","abstract_excerpt":"The estimation of power spectra from LDA data provides signal processing challenges for fluid dynamicists for several reasons: acquisition is dictated by randomly arriving particles, the registered particle velocities tend to be biased towards higher values and the signal is highly intermittent. The signal can be interpreted correctly by applying residence time weighting to all statistics and using the residence-time-weighted discrete Fourier transform to compute the Fourier transform. A new spectral algorithm using the latter is applied to two experiments; a cylinder wake and an axisymmetric "},"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":"1906.05335","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2019-06-12T19:16:28Z","cross_cats_sorted":[],"title_canon_sha256":"8f2e6d1888125c2b6f2c7a27de1a6cca32e7ec792b4e4e2f2f027d78d66ac856","abstract_canon_sha256":"1d6d404980e524f83c178582db265cb098a6cbcc3f7cbfb516f864364cb47cfb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:25.560712Z","signature_b64":"bANIlPLO7tMUWpn72GNZgTyUS3hinAuFIo2pIM/29C7gfWhaNacnJwoQp2zFKmbYdj8fl+DfrWQFydN37RWiBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32eb507e9a1885322a623840e11465dcc4f2765ad254481f4ffc751f94013057","last_reissued_at":"2026-05-17T23:43:25.560276Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:25.560276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Estimation of burst-mode LDA power spectra","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Clara M. Velte, Preben Buchhave, William K. George","submitted_at":"2019-06-12T19:16:28Z","abstract_excerpt":"The estimation of power spectra from LDA data provides signal processing challenges for fluid dynamicists for several reasons: acquisition is dictated by randomly arriving particles, the registered particle velocities tend to be biased towards higher values and the signal is highly intermittent. The signal can be interpreted correctly by applying residence time weighting to all statistics and using the residence-time-weighted discrete Fourier transform to compute the Fourier transform. A new spectral algorithm using the latter is applied to two experiments; a cylinder wake and an axisymmetric "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.05335","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":"1906.05335","created_at":"2026-05-17T23:43:25.560346+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.05335v1","created_at":"2026-05-17T23:43:25.560346+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.05335","created_at":"2026-05-17T23:43:25.560346+00:00"},{"alias_kind":"pith_short_12","alias_value":"GLVVA7U2DCCT","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"GLVVA7U2DCCTEKTC","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"GLVVA7U2","created_at":"2026-05-18T12:33:18.533446+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/GLVVA7U2DCCTEKTCHBAOCFDF3T","json":"https://pith.science/pith/GLVVA7U2DCCTEKTCHBAOCFDF3T.json","graph_json":"https://pith.science/api/pith-number/GLVVA7U2DCCTEKTCHBAOCFDF3T/graph.json","events_json":"https://pith.science/api/pith-number/GLVVA7U2DCCTEKTCHBAOCFDF3T/events.json","paper":"https://pith.science/paper/GLVVA7U2"},"agent_actions":{"view_html":"https://pith.science/pith/GLVVA7U2DCCTEKTCHBAOCFDF3T","download_json":"https://pith.science/pith/GLVVA7U2DCCTEKTCHBAOCFDF3T.json","view_paper":"https://pith.science/paper/GLVVA7U2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.05335&json=true","fetch_graph":"https://pith.science/api/pith-number/GLVVA7U2DCCTEKTCHBAOCFDF3T/graph.json","fetch_events":"https://pith.science/api/pith-number/GLVVA7U2DCCTEKTCHBAOCFDF3T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GLVVA7U2DCCTEKTCHBAOCFDF3T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GLVVA7U2DCCTEKTCHBAOCFDF3T/action/storage_attestation","attest_author":"https://pith.science/pith/GLVVA7U2DCCTEKTCHBAOCFDF3T/action/author_attestation","sign_citation":"https://pith.science/pith/GLVVA7U2DCCTEKTCHBAOCFDF3T/action/citation_signature","submit_replication":"https://pith.science/pith/GLVVA7U2DCCTEKTCHBAOCFDF3T/action/replication_record"}},"created_at":"2026-05-17T23:43:25.560346+00:00","updated_at":"2026-05-17T23:43:25.560346+00:00"}