activity
20112023
most citedBinary Neutron Star Mergers: Mass Ejection, Electromagnetic Counterparts and Nucleosynthesis

464 citations · 4.8k across the 43 of their papers we have counts for

collaborators

44 papers

astro-ph.HE2023★ 5 cited

Old Data, New Forensics: The First Second of SN 1987A Neutrino Emission

Shirley Weishi Li, John F. Beacom, Luke F. Roberts +1

The next Milky Way supernova will be an epochal event in multi-messenger astronomy, critical to tests of supernovae, neutrinos, and new physics. Realizing this potential depends on…

astro-ph.HE2023★ 10 cited

Proto-Neutron Star Convection and the Neutrino-Driven Wind: Implications for the r-Process

Brian Nevins, Luke F. Roberts

The neutrino-driven wind from proto-neutron stars is a proposed site for r-process nucleosynthesis, although most previous work has found that a wind heated only by neutrinos canno…

astro-ph.HE2022★ 42 cited

Angular Momentum Transport in Proto-Neutron Stars and the Fate of Neutron Star Merger Remnants

Ben Margalit, Adam S. Jermyn, Brian D. Metzger +2

Both the core collapse of rotating massive stars, and the coalescence of neutron star (NS) binaries, result in the formation of a hot, differentially rotating NS remnant. The times…

nucl-ex2022★ 51 cited

Horizons: Nuclear Astrophysics in the 2020s and Beyond

H. Schatz, A. D. Becerril Reyes, A. Best +162

Nuclear Astrophysics is a field at the intersection of nuclear physics and astrophysics, which seeks to understand the nuclear engines of astronomical objects and the origin of the…

astro-ph.HE2021★ 27 cited

-process Nucleosynthesis and Kilonovae from Hypermassive Neutron Star Remnants

Sanjana Curtis, Philipp Mösta, Zhenyu Wu +4

We investigate -process nucleosynthesis and kilonova emission resulting from binary neutron star (BNS) mergers based on a three-dimensional (3D) general-relativistic magnetohydr…

math.NA2021★ 2 cited

Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds

Juntao Huang, Yingda Cheng, Andrew J. Christlieb +1

This is the third paper in a series in which we develop machine learning (ML) moment closure models for the radiative transfer equation (RTE). In our previous work \cite{huang2021g…