3 papers
nucl-th2025
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…
astro-ph.GA2025
The Pristine survey: XXVII. The extremely metal-poor stream C-19 stretches over more than 100 degrees
Zhen Yuan, Tadafumi Matsuno, Tatyana Sitnova +14
The discovery of the most metal-poor stream, C-19, provides us with a fossil record of a stellar structure born very soon after the Big Bang. In this work, we search for new C-19 m…
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…