{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:4SP2IJ4CJLKQNGOSBKKKVFYWFP","short_pith_number":"pith:4SP2IJ4C","schema_version":"1.0","canonical_sha256":"e49fa427824ad50699d20a94aa97162bf2ac8b6b5d4d5035d4c40f33b76dc6a1","source":{"kind":"arxiv","id":"2001.02815","version":2},"attestation_state":"computed","paper":{"title":"Estimating dust attenuation from galactic spectra. I. methodology and tests","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Cheng Du, Cheng Li, Houjun Mo, Jian Hu, Niu Li, Shuang Zhou","submitted_at":"2020-01-09T02:36:50Z","abstract_excerpt":"We develop a method to estimate the dust attenuation curve of galaxies from full spectral fitting of their optical spectra. Motivated from previous studies, we separate the small-scale features from the large-scale spectral shape, by performing a moving average method to both the observed spectrum and the simple stellar population model spectra. The intrinsic dust-free model spectrum is then derived by fitting the observed ratio of the small-scale to large-scale (S/L) components with the S/L ratios of the SSP models. The selective dust attenuation curve is then determined by comparing the obse"},"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":"2001.02815","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.GA","submitted_at":"2020-01-09T02:36:50Z","cross_cats_sorted":[],"title_canon_sha256":"0a727a6a4c28d53faeee66fd04fc7dde9e4c88487999d4890526bb43fead6586","abstract_canon_sha256":"ce46974b3096d568f6206c295e438d215aa0abd98fb83e01a19e29d75f6895d8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:10:31.931320Z","signature_b64":"CoOqvhMtuw0QXi/LYOTiDA9VcTlOdfp9UNctyg5bGpMBdvbx+NCRSPFqBmU50JuAo5N5YKfP446jS1As+VCSCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e49fa427824ad50699d20a94aa97162bf2ac8b6b5d4d5035d4c40f33b76dc6a1","last_reissued_at":"2026-07-05T01:10:31.930951Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:10:31.930951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Estimating dust attenuation from galactic spectra. I. methodology and tests","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Cheng Du, Cheng Li, Houjun Mo, Jian Hu, Niu Li, Shuang Zhou","submitted_at":"2020-01-09T02:36:50Z","abstract_excerpt":"We develop a method to estimate the dust attenuation curve of galaxies from full spectral fitting of their optical spectra. Motivated from previous studies, we separate the small-scale features from the large-scale spectral shape, by performing a moving average method to both the observed spectrum and the simple stellar population model spectra. The intrinsic dust-free model spectrum is then derived by fitting the observed ratio of the small-scale to large-scale (S/L) components with the S/L ratios of the SSP models. The selective dust attenuation curve is then determined by comparing the obse"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.02815","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2001.02815/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":"2001.02815","created_at":"2026-07-05T01:10:31.931001+00:00"},{"alias_kind":"arxiv_version","alias_value":"2001.02815v2","created_at":"2026-07-05T01:10:31.931001+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.02815","created_at":"2026-07-05T01:10:31.931001+00:00"},{"alias_kind":"pith_short_12","alias_value":"4SP2IJ4CJLKQ","created_at":"2026-07-05T01:10:31.931001+00:00"},{"alias_kind":"pith_short_16","alias_value":"4SP2IJ4CJLKQNGOS","created_at":"2026-07-05T01:10:31.931001+00:00"},{"alias_kind":"pith_short_8","alias_value":"4SP2IJ4C","created_at":"2026-07-05T01:10:31.931001+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.10573","citing_title":"Mapping Dust Attenuation at Kiloparsec Scales. III. The 2175\\AA\\ Bump","ref_index":84,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4SP2IJ4CJLKQNGOSBKKKVFYWFP","json":"https://pith.science/pith/4SP2IJ4CJLKQNGOSBKKKVFYWFP.json","graph_json":"https://pith.science/api/pith-number/4SP2IJ4CJLKQNGOSBKKKVFYWFP/graph.json","events_json":"https://pith.science/api/pith-number/4SP2IJ4CJLKQNGOSBKKKVFYWFP/events.json","paper":"https://pith.science/paper/4SP2IJ4C"},"agent_actions":{"view_html":"https://pith.science/pith/4SP2IJ4CJLKQNGOSBKKKVFYWFP","download_json":"https://pith.science/pith/4SP2IJ4CJLKQNGOSBKKKVFYWFP.json","view_paper":"https://pith.science/paper/4SP2IJ4C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2001.02815&json=true","fetch_graph":"https://pith.science/api/pith-number/4SP2IJ4CJLKQNGOSBKKKVFYWFP/graph.json","fetch_events":"https://pith.science/api/pith-number/4SP2IJ4CJLKQNGOSBKKKVFYWFP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4SP2IJ4CJLKQNGOSBKKKVFYWFP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4SP2IJ4CJLKQNGOSBKKKVFYWFP/action/storage_attestation","attest_author":"https://pith.science/pith/4SP2IJ4CJLKQNGOSBKKKVFYWFP/action/author_attestation","sign_citation":"https://pith.science/pith/4SP2IJ4CJLKQNGOSBKKKVFYWFP/action/citation_signature","submit_replication":"https://pith.science/pith/4SP2IJ4CJLKQNGOSBKKKVFYWFP/action/replication_record"}},"created_at":"2026-07-05T01:10:31.931001+00:00","updated_at":"2026-07-05T01:10:31.931001+00:00"}