{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:BTCF7QU4AOIX2RTLQJ3XAMBKCL","short_pith_number":"pith:BTCF7QU4","schema_version":"1.0","canonical_sha256":"0cc45fc29c03917d466b827770302a12e9a03b5577927bf1f931fe50c0abec34","source":{"kind":"arxiv","id":"1901.01192","version":2},"attestation_state":"computed","paper":{"title":"Star Formation Stochasticity Measured from the Distribution of Burst Indicators","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Adam Broussard, Camilla Pacifici, Eric Gawiser, Intae Jung, Kartheik Iyer, Peter Kurczynski, Rachel S. Somerville, Romeel Dav\\'e, Steve Finkelstein","submitted_at":"2019-01-04T16:23:20Z","abstract_excerpt":"One of the key questions in understanding the formation and evolution of galaxies is how starbursts affect the assembly of stellar populations in galaxies over time. We define a burst indicator ($\\eta$), which compares a galaxy's star formation rates on short ($\\sim10$ Myr) and long ($\\sim100$ Myr) timescales. To estimate $\\eta$, we apply the detailed time-luminosity relationship for H$\\alpha$ and near-ultraviolet emission to simulated star formation histories (SFHs) from semi-analytic models and the Mufasa hydrodynamical cosmological simulations. The average of $\\eta$ is not a good indicator "},"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":"1901.01192","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.GA","submitted_at":"2019-01-04T16:23:20Z","cross_cats_sorted":[],"title_canon_sha256":"e9f36ae8123826ca3c7c61db79d8f157340e8bfd2cc7375f245adc996281ca41","abstract_canon_sha256":"6b8b13b0d1ffddcb46a688996e27c12e2fb89d63bc23ef25c6a54d60f00fd286"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:06.562685Z","signature_b64":"d6TU63yiWgTB4EHuXgT2f2X8ybn3wq6LGuqRqR5Hdexo2JoqKfjaVlqQXHe76LqFPFzNUuIbpA1Jz+3FcVDMAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0cc45fc29c03917d466b827770302a12e9a03b5577927bf1f931fe50c0abec34","last_reissued_at":"2026-05-17T23:50:06.562102Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:06.562102Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Star Formation Stochasticity Measured from the Distribution of Burst Indicators","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Adam Broussard, Camilla Pacifici, Eric Gawiser, Intae Jung, Kartheik Iyer, Peter Kurczynski, Rachel S. Somerville, Romeel Dav\\'e, Steve Finkelstein","submitted_at":"2019-01-04T16:23:20Z","abstract_excerpt":"One of the key questions in understanding the formation and evolution of galaxies is how starbursts affect the assembly of stellar populations in galaxies over time. We define a burst indicator ($\\eta$), which compares a galaxy's star formation rates on short ($\\sim10$ Myr) and long ($\\sim100$ Myr) timescales. To estimate $\\eta$, we apply the detailed time-luminosity relationship for H$\\alpha$ and near-ultraviolet emission to simulated star formation histories (SFHs) from semi-analytic models and the Mufasa hydrodynamical cosmological simulations. The average of $\\eta$ is not a good indicator "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.01192","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":"1901.01192","created_at":"2026-05-17T23:50:06.562201+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.01192v2","created_at":"2026-05-17T23:50:06.562201+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.01192","created_at":"2026-05-17T23:50:06.562201+00:00"},{"alias_kind":"pith_short_12","alias_value":"BTCF7QU4AOIX","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_16","alias_value":"BTCF7QU4AOIX2RTL","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_8","alias_value":"BTCF7QU4","created_at":"2026-05-18T12:33:12.712433+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/BTCF7QU4AOIX2RTLQJ3XAMBKCL","json":"https://pith.science/pith/BTCF7QU4AOIX2RTLQJ3XAMBKCL.json","graph_json":"https://pith.science/api/pith-number/BTCF7QU4AOIX2RTLQJ3XAMBKCL/graph.json","events_json":"https://pith.science/api/pith-number/BTCF7QU4AOIX2RTLQJ3XAMBKCL/events.json","paper":"https://pith.science/paper/BTCF7QU4"},"agent_actions":{"view_html":"https://pith.science/pith/BTCF7QU4AOIX2RTLQJ3XAMBKCL","download_json":"https://pith.science/pith/BTCF7QU4AOIX2RTLQJ3XAMBKCL.json","view_paper":"https://pith.science/paper/BTCF7QU4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.01192&json=true","fetch_graph":"https://pith.science/api/pith-number/BTCF7QU4AOIX2RTLQJ3XAMBKCL/graph.json","fetch_events":"https://pith.science/api/pith-number/BTCF7QU4AOIX2RTLQJ3XAMBKCL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BTCF7QU4AOIX2RTLQJ3XAMBKCL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BTCF7QU4AOIX2RTLQJ3XAMBKCL/action/storage_attestation","attest_author":"https://pith.science/pith/BTCF7QU4AOIX2RTLQJ3XAMBKCL/action/author_attestation","sign_citation":"https://pith.science/pith/BTCF7QU4AOIX2RTLQJ3XAMBKCL/action/citation_signature","submit_replication":"https://pith.science/pith/BTCF7QU4AOIX2RTLQJ3XAMBKCL/action/replication_record"}},"created_at":"2026-05-17T23:50:06.562201+00:00","updated_at":"2026-05-17T23:50:06.562201+00:00"}