223 citations · 1.7k across the 45 of their papers we have counts for
8 papers · 1 filter
Nucleosynthesis in Outflows from Black Hole-Neutron Star Merger Disks With Full GRRMHD
Sanjana Curtis, Jonah M. Miller, Carla Frohlich +3
Along with binary neutron star mergers, the in-spiral and merger of a black hole and a neutron star is a predicted site of -process nucleosynthesis and associated kilonovae. For…
Nuclear data activities for medium mass and heavy nuclei at Los Alamos
M. R. Mumpower, T. M Sprouse, T. Kawano +7
Nuclear data is critical for many modern applications from stockpile stewardship to cutting edge scientific research. Central to these pursuits is a robust pipeline for nuclear mod…
Actinide opacities for modeling the spectra and light curves of kilonovae
C. J. Fontes, C. L. Fryer, R. T. Wollaeger +2
We extend previous ab initio calculations of lanthanide opacities (Fontes et al., 2020, MNRAS, 493, 4143) to include a complete set of actinide opacities for use in the modeling of…
Constraining inputs to realistic kilonova simulations through comparison to observed -process abundances
M. Ristic, E. M. Holmbeck, R. Wollaeger +7
Kilonovae, one source of electromagnetic emission associated with neutron star mergers, are powered by the decay of radioactive isotopes in the neutron-rich merger ejecta. Models f…
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…
Physically Interpretable Machine Learning for nuclear masses
M. R. Mumpower, T. M. Sprouse, A. E. Lovell +1
We present a novel approach to modeling the ground state mass of atomic nuclei based directly on a probabilistic neural network constrained by relevant physics. Our Physically Inte…
Beta-delayed fission in the coupled Quasi-particle Random Phase Approximation plus Hauser-Feshbach approach
M. R. Mumpower, T. Kawano, T. M. Sprouse
Beta-delayed neutron emission and -delayed fission (df) probabilities were calculated for heavy, neutron-rich nuclei using the Los Alamos coupled Quasi-Particle Random Phase…
Nuclear masses learned from a probabilistic neural network
A. E. Lovell, A. T. Mohan, T. M. Sprouse +1
Machine learning methods and uncertainty quantification have been gaining interest throughout the last several years in low-energy nuclear physics. In particular, Gaussian processe…