Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Propagation of Hauser-Feshbach uncertainty estimates to r-process
  nucleosynthesis: Benchmark of statistical property models for neutron rich
  nuclei far from stability   Multimessenger observations of the neutron star merger event GW170817 have
re-energized the debate over the astrophysical origins of the most massive
elements via the r-process nucleosynthesis. A key aspect of such studies is
comparing astronomical observations to theoretical nucleosynthesis yields in a
meaningful way. To perform realistic nucleosynthesis calculations,
understanding the uncertainty in microphysics details such as nuclear reaction
rates is as essential as understanding uncertainties in modeling the
astrophysical environment. We present an investigation of neutron capture rate
calculations' uncertainty away from stability using the Hauser-Feshbach model.
We provide a quantitative measure of the calculations' dependability when we
extrapolate models of statistical properties to nuclei in an r-process network.
We select several level density and gamma-ray strength models appropriate for
neutron-capture and use them to calculate the reaction rate for each nucleus in
the network. We observe how statistical properties affect the theoretical
reaction rates. The rates are then sampled with the Monte Carlo technique and
used in network calculations to map the range of possible r-process abundances.
The results show that neutron capture rates can vary by a couple of orders of
magnitude between calculations. Phenomenological models provide smoother
results than semi-microscopic. They cannot, however, reproduce nuclear
structure changes such as shell closures. While semi-microscopic models predict
nuclear structure effects away from stability, it is not clear that these
results are quantitatively accurate. The effect of the uncertainty on r-process
yields is large enough to impede comparisons between observation and
calculations. Progress in developing better microscopic models of gamma
strengths and level densities is urgently needed to improve the fidelity of
r-process models.

31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
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The categories of this paper are: stat
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc