K. Chae

activity

20232026

most citedFirst direct measurement constraining the

^{34}

Ar(

α

,p)

^{37}

K reaction cross section for mixed hydrogen and helium burning in accreting neutron stars

8 citations · 8 across the 6 of their papers we have counts for

collaborators

Showing 2023Show all

3 papers · 1 filter

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…

nucl-th2023

Probabilistic neural networks for improved analyses with phenomenological models

C. H. Kim, K. Y. Chae, M. S. Smith +5

Physics models typically contain adjustable parameters to reproduce measured data. While some parameters correspond directly to measured features in the data, others are unobservab…

physics.ins-det2023

Restoring Original Signal From Pile-up Signal using Deep Learning

C. H. Kim, S. Ahn, K. Y. Chae +2

Pile-up signals are frequently produced in experimental physics. They create inaccurate physics data with high uncertainty and cause various problems. Therefore, the correction to…

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

Probabilistic neural networks for improved analyses with phenomenological models

Restoring Original Signal From Pile-up Signal using Deep Learning

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