$\beta$-Delayed Neutron and Fission Calculations with Relativistic QRPA and Statistical Model
Futoshi Minato, Tomislav Marketin, Nils Paar

TL;DR
This paper develops a theoretical database for -delayed neutron emission and fission rates using relativistic QRPA and statistical models, aiding r-process nucleosynthesis simulations.
Contribution
It introduces a new microscopic approach combining relativistic QRPA and statistical models to predict -delayed neutron and fission rates for nuclei relevant to the r-process.
Findings
Calculated -delayed neutron branching ratios agree well with experimental data.
-delayed neutron emission significantly affects neutron drip line nuclei.
Fission branching ratios depend strongly on fission barrier data.
Abstract
A role of \beta-delayed neutron emission and fission in r-process nucleosynthesis attracts a high interest. Although the number of study on them covering r-process nuclei is increasing recently, uncertainties of \beta-delayed neutron and fission are still large for r-process simulations. Our purpose is to make a new database on \beta-delayed neutron emission and fission rates. To this end, the data that are not investigated experimentally have to be predicted. Microscopic theoretical approaches based on a nuclear energy density functional and statistical models are one of the competent tools for the prediction. To obtain \beta strength function, p-n relativistic QRPA is adopted. Particle evaporations and fission from nuclear highly excited states are estimated by the Hauser-Feshbach statistical model. \beta-delayed neutron branching ratios (P_n) are calculated and compared with…
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Taxonomy
TopicsNuclear reactor physics and engineering · Nuclear physics research studies
