{"paper":{"title":"Correlated Prompt Fission Data in Transport Simulations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nucl-ex"],"primary_cat":"nucl-th","authors_text":"A. Sood, C. Walker, G. Rusev, I. Stetcu, J. Randrup, J. Verbeke, K. Meierbachtol, L. Nakae, M.E. Rising, M. Jandel, M.J. Marcath, M.T. Andrews, P. Jaffke, P. Talou, R. Vogt, S.A. Pozzi, S.D. Clarke, T. Kawano","submitted_at":"2017-09-29T21:54:10Z","abstract_excerpt":"Detailed information on the fission process can be inferred from the observation, modeling and theoretical understanding of prompt fission neutron and $\\gamma$-ray~observables. Beyond simple average quantities, the study of distributions and correlations in prompt data, e.g., multiplicity-dependent neutron and \\gray~spectra, angular distributions of the emitted particles, $n$-$n$, $n$-$\\gamma$, and $\\gamma$-$\\gamma$~correlations, can place stringent constraints on fission models and parameters that would otherwise be free to be tuned separately to represent individual fission observables. The "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.00107","kind":"arxiv","version":3},"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"}