{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:ZNF33SDOFRYANBWBH5LIYXIGXU","short_pith_number":"pith:ZNF33SDO","schema_version":"1.0","canonical_sha256":"cb4bbdc86e2c700686c13f568c5d06bd0ad4d07a92363f2b7d30557bc20cb999","source":{"kind":"arxiv","id":"1809.05587","version":2},"attestation_state":"computed","paper":{"title":"Parameter Optimization and Uncertainty Analysis of FREYA for Spontaneous Fission","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"nucl-th","authors_text":"Jackson Van Dyke, Lee Bernstein, Ramona Vogt","submitted_at":"2018-09-14T21:00:32Z","abstract_excerpt":"Background: The complete event fission simulation code FREYA is used to study correlations in fission. To make the best possible simulations, FREYA one must find the optimized values of the five physics-based parameters which characterize the events produced by FREYA. So far this has been done only empirically or by brute force computational techniques. Purpose: We seek to develop a method of parameter optimization for FREYA that would include uncertainty quantification and an analysis of the correlations between the parameters. Methods: We focus on spontaneous fission as a simpler test case o"},"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":"1809.05587","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2018-09-14T21:00:32Z","cross_cats_sorted":[],"title_canon_sha256":"8ba9ff9a1df06cd78244d02b66fb532a85a74b6983c12b8af03c2867e2e75dc0","abstract_canon_sha256":"06ce66d63c8668d88f3f72452bd8fa5250a594f3ba78608cb98bccc086fe1993"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:41.046326Z","signature_b64":"jKxHhTQrn2tqrkpBw7kUO1kIKmQV3gImTW+AuwMnxQfLuXy73QpakC3nr+iOGtQYaSMSsodjRJ5RfE+6OzCOCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb4bbdc86e2c700686c13f568c5d06bd0ad4d07a92363f2b7d30557bc20cb999","last_reissued_at":"2026-05-17T23:56:41.045602Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:41.045602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Parameter Optimization and Uncertainty Analysis of FREYA for Spontaneous Fission","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"nucl-th","authors_text":"Jackson Van Dyke, Lee Bernstein, Ramona Vogt","submitted_at":"2018-09-14T21:00:32Z","abstract_excerpt":"Background: The complete event fission simulation code FREYA is used to study correlations in fission. To make the best possible simulations, FREYA one must find the optimized values of the five physics-based parameters which characterize the events produced by FREYA. So far this has been done only empirically or by brute force computational techniques. Purpose: We seek to develop a method of parameter optimization for FREYA that would include uncertainty quantification and an analysis of the correlations between the parameters. Methods: We focus on spontaneous fission as a simpler test case o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.05587","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":"1809.05587","created_at":"2026-05-17T23:56:41.045714+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.05587v2","created_at":"2026-05-17T23:56:41.045714+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.05587","created_at":"2026-05-17T23:56:41.045714+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZNF33SDOFRYA","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZNF33SDOFRYANBWB","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZNF33SDO","created_at":"2026-05-18T12:33:07.085635+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/ZNF33SDOFRYANBWBH5LIYXIGXU","json":"https://pith.science/pith/ZNF33SDOFRYANBWBH5LIYXIGXU.json","graph_json":"https://pith.science/api/pith-number/ZNF33SDOFRYANBWBH5LIYXIGXU/graph.json","events_json":"https://pith.science/api/pith-number/ZNF33SDOFRYANBWBH5LIYXIGXU/events.json","paper":"https://pith.science/paper/ZNF33SDO"},"agent_actions":{"view_html":"https://pith.science/pith/ZNF33SDOFRYANBWBH5LIYXIGXU","download_json":"https://pith.science/pith/ZNF33SDOFRYANBWBH5LIYXIGXU.json","view_paper":"https://pith.science/paper/ZNF33SDO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.05587&json=true","fetch_graph":"https://pith.science/api/pith-number/ZNF33SDOFRYANBWBH5LIYXIGXU/graph.json","fetch_events":"https://pith.science/api/pith-number/ZNF33SDOFRYANBWBH5LIYXIGXU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZNF33SDOFRYANBWBH5LIYXIGXU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZNF33SDOFRYANBWBH5LIYXIGXU/action/storage_attestation","attest_author":"https://pith.science/pith/ZNF33SDOFRYANBWBH5LIYXIGXU/action/author_attestation","sign_citation":"https://pith.science/pith/ZNF33SDOFRYANBWBH5LIYXIGXU/action/citation_signature","submit_replication":"https://pith.science/pith/ZNF33SDOFRYANBWBH5LIYXIGXU/action/replication_record"}},"created_at":"2026-05-17T23:56:41.045714+00:00","updated_at":"2026-05-17T23:56:41.045714+00:00"}