166 citations · 1.6k across the 47 of their papers we have counts for
48 papers
The -Process Alliance: On J00101735, an Accreted, Chemically Unusual, Metal-poor Star with -process Enhancement
Zoe Hackshaw, Rana Ezzeddine, Shivani P. Shah +11
We present a detailed chemo-dynamical analysis of the chemically peculiar very metal-poor ([Fe/H]) Milky Way (MW) halo star, 2MASS J001017581735387 (hereafter J0…
The \emph{R}-process Alliance: A Bright, Strongly \emph{R}-process-enhanced Extremely Metal-poor Star Observed with GHOST
Mohammad K. Mardini, Anna Frebel, Vinicius M. Placco +8
We present a detailed chemical-abundance and kinematic analysis of four extremely metal-poor (EMP; [Fe/H] ) stars identified from \textit{Gaia} BP/RP data in our ongoing…
The -Process Alliance: The -Process Enhancement of Stars from Chemodynamically Tagged Groups in the Milky Way Halo
Jessica Merritt Agnos, Charli M. Sakari, Pedro Silva +9
As part of the ongoing work of the -Process Alliance (RPA), detailed abundance measurements of 29 heavy elements in three metal-poor stars, 2MASS J145929813852558, 2MASS J194…
The -Process Alliance: Actinide Abundances, Variation, and Evolution in Metal-Poor Stars
Shivani P. Shah, Rana Ezzeddine, Erika M. Holmbeck +11
The actinides, including thorium (Th), are the heaviest observable elements synthesized in the universe, holding clues to the extremes of the astrophysical and nuclear conditions o…
Correlated and uncorrelated Monte Carlo neutron capture rate variations in weak -process simulations
Atul Kedia, Jeffrey M. Berryman, Jonathan Cabrera Garcia +7
Reliable predictions of weak rapid neutron capture (-process) abundances require a systematic treatment of nuclear physics uncertainties, especially neutron capture rat…
Quantifying uncertainty in machine learning on nuclear binding energy
Mengyao Huang, Kyle A. Wendt, Nicolas F. Schunck +1
Techniques from artificial intelligence and machine learning are increasingly employed in nuclear theory, however, the uncertainties that arise from the complex parameter manifold…