130 citations · 350 across the 8 of their papers we have counts for
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astro-ph.GA2024
HR-GO I: Comprehensive NLTE abundance analysis of the Cetus stream
T. M. Sitnova, Z. Yuan, T. Matsuno +8
Dwarf galaxy streams encode vast amounts of information essential to understanding early galaxy formation and nucleosynthesis channels. Due to the variation in the timescales of st…
nucl-th2024★ 1 cited
Learning nuclear cross sections across the chart of nuclides with graph neural networks
Hongjun Choi, Sinjini Mitra, Jason Brodksy +6
In this work, we explore the use of deep learning techniques to learn how nuclear cross sections change as we add or remove protons and neutrons. As a proof of principle, we focus…