D. Blankstein

most citedUse of Bayesian Optimization to Understand the Structure of Nuclei

9 citations · 17 across the 2 of their papers we have counts for

collaborators

2 papers

nucl-ex2023★ 8 cited

First direct measurement constraining the $^{34}$ Ar( $α$ ,p) $^{37}$ K reaction cross section for mixed hydrogen and helium burning in accreting neutron stars

J. Browne, K. A. Chipps, K. Schmidt +25

The rate of the final step in the astrophysical $α$ p-process, the $^{34}$ Ar( $α$ ,\textit{p}) $^{37}$ K reaction, suffers from large uncertainties due to lack of experimental data, des…

physics.comp-ph2021★ 9 cited

Use of Bayesian Optimization to Understand the Structure of Nuclei

J. Hooker, J. Kovoor, K. L. Jones +41

Monte Carlo simulations are widely used in nuclear physics to model experimental systems. In cases where there are significant unknown quantities, such as energies of states, an it…

First direct measurement constraining the 34Ar(α,p)37K reaction cross section for mixed hydrogen and helium burning in accreting neutron stars

Use of Bayesian Optimization to Understand the Structure of Nuclei

First direct measurement constraining the $^{34}$ Ar( $α$ ,p) $^{37}$ K reaction cross section for mixed hydrogen and helium burning in accreting neutron stars