164 citations · 207 across the 4 of their papers we have counts for
4 papers
The DNA of nuclear models: How AI predicts nuclear masses
Kate A. Richardson, Sokratis Trifinopoulos, Mike Williams
Obtaining high-precision predictions of nuclear masses, or equivalently nuclear binding energies, , remains an important goal in nuclear-physics research. Recently, many AI-ba…
The search for low-mass axion dark matter with ABRACADABRA-10cm
Chiara P. Salemi, Joshua W. Foster, Jonathan L. Ouellet +10
Two of the most pressing questions in physics are the microscopic nature of the dark matter that comprises 84% of the mass in the universe and the absence of a neutron electric dip…
Tools for Studying Low-Mass Dark Matter at Neutrino Detectors
Jason Kumar, John G. Learned, Katherine Richardson +1
We determine the neutrino spectra arising from low-mass (4-10 GeV) dark matter annihilating in the sun. We also determine the low-mass dark matter capture rates (element by element…
Distinguishing among dark matter annihilation channels with neutrino telescopes
Rouzbeh Allahverdi, Katherine Richardson
We investigate the prospects for distinguishing dark matter annihilation channels using the neutrino flux from gravitationally captured dark matter particles annihilating inside th…