{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:CXZCCX3Z2E4FJJCKD7TH4INTW7","short_pith_number":"pith:CXZCCX3Z","schema_version":"1.0","canonical_sha256":"15f2215f79d13854a44a1fe67e21b3b7d0560683010d7b4a01e39f97b269de4b","source":{"kind":"arxiv","id":"1407.1084","version":1},"attestation_state":"computed","paper":{"title":"Wavelets: a powerful tool for studying rotation, activity, and pulsation in Kepler and CoRoT stellar light curves","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.SR"],"primary_cat":"astro-ph.IM","authors_text":"I. C. Le\\~ao, J. P. Bravo, J. R. De Medeiros, R. Estrela, S. Roque","submitted_at":"2014-07-03T23:27:04Z","abstract_excerpt":"Aims. The wavelet transform has been used as a powerful tool for treating several problems in astrophysics. In this work, we show that the time-frequency analysis of stellar light curves using the wavelet transform is a practical tool for identifying rotation, magnetic activity, and pulsation signatures. We present the wavelet spectral composition and multiscale variations of the time series for four classes of stars: targets dominated by magnetic activity, stars with transiting planets, those with binary transits, and pulsating stars. Methods. We applied the Morlet wavelet (6th order), which "},"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":"1407.1084","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2014-07-03T23:27:04Z","cross_cats_sorted":["astro-ph.SR"],"title_canon_sha256":"4d8700d65b45813f8147157126c5216b1b758614d62929ad51ecb4f5f6581e70","abstract_canon_sha256":"82e90ebfb355b4afbf441d1c4c106aa07b9601d91d31907eb078ad0cf28f68c3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:43:34.490409Z","signature_b64":"1vAl9O02B7K9KHKKPBaVw54cKSSaMn8VT5ZmJLNLp5FhX0b5K7rgRKyhyKBEbjagbBtyt5CL1P8srHG6bM7DDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"15f2215f79d13854a44a1fe67e21b3b7d0560683010d7b4a01e39f97b269de4b","last_reissued_at":"2026-05-18T02:43:34.489819Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:43:34.489819Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Wavelets: a powerful tool for studying rotation, activity, and pulsation in Kepler and CoRoT stellar light curves","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.SR"],"primary_cat":"astro-ph.IM","authors_text":"I. C. Le\\~ao, J. P. Bravo, J. R. De Medeiros, R. Estrela, S. Roque","submitted_at":"2014-07-03T23:27:04Z","abstract_excerpt":"Aims. The wavelet transform has been used as a powerful tool for treating several problems in astrophysics. In this work, we show that the time-frequency analysis of stellar light curves using the wavelet transform is a practical tool for identifying rotation, magnetic activity, and pulsation signatures. We present the wavelet spectral composition and multiscale variations of the time series for four classes of stars: targets dominated by magnetic activity, stars with transiting planets, those with binary transits, and pulsating stars. Methods. We applied the Morlet wavelet (6th order), which "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1407.1084","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":"1407.1084","created_at":"2026-05-18T02:43:34.489915+00:00"},{"alias_kind":"arxiv_version","alias_value":"1407.1084v1","created_at":"2026-05-18T02:43:34.489915+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1407.1084","created_at":"2026-05-18T02:43:34.489915+00:00"},{"alias_kind":"pith_short_12","alias_value":"CXZCCX3Z2E4F","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_16","alias_value":"CXZCCX3Z2E4FJJCK","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_8","alias_value":"CXZCCX3Z","created_at":"2026-05-18T12:28:25.294606+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/CXZCCX3Z2E4FJJCKD7TH4INTW7","json":"https://pith.science/pith/CXZCCX3Z2E4FJJCKD7TH4INTW7.json","graph_json":"https://pith.science/api/pith-number/CXZCCX3Z2E4FJJCKD7TH4INTW7/graph.json","events_json":"https://pith.science/api/pith-number/CXZCCX3Z2E4FJJCKD7TH4INTW7/events.json","paper":"https://pith.science/paper/CXZCCX3Z"},"agent_actions":{"view_html":"https://pith.science/pith/CXZCCX3Z2E4FJJCKD7TH4INTW7","download_json":"https://pith.science/pith/CXZCCX3Z2E4FJJCKD7TH4INTW7.json","view_paper":"https://pith.science/paper/CXZCCX3Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1407.1084&json=true","fetch_graph":"https://pith.science/api/pith-number/CXZCCX3Z2E4FJJCKD7TH4INTW7/graph.json","fetch_events":"https://pith.science/api/pith-number/CXZCCX3Z2E4FJJCKD7TH4INTW7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CXZCCX3Z2E4FJJCKD7TH4INTW7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CXZCCX3Z2E4FJJCKD7TH4INTW7/action/storage_attestation","attest_author":"https://pith.science/pith/CXZCCX3Z2E4FJJCKD7TH4INTW7/action/author_attestation","sign_citation":"https://pith.science/pith/CXZCCX3Z2E4FJJCKD7TH4INTW7/action/citation_signature","submit_replication":"https://pith.science/pith/CXZCCX3Z2E4FJJCKD7TH4INTW7/action/replication_record"}},"created_at":"2026-05-18T02:43:34.489915+00:00","updated_at":"2026-05-18T02:43:34.489915+00:00"}