A Data-Driven Model for r-Process Production Patterns

arXiv:2609.00303 · astro-ph.SR, hep-ph, nucl-th · Submitted 2026-08-31 · Read on arXiv

astro-ph.SR, hep-ph, nucl-th

Submitted: 2026-08-31

Updated: 2026-10-05

Terminology

• Abundance — 18× in this paper · explained in 1 episode
• Bayesian Inference — 4× in this paper · explained in 5 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• European Research Council — 2× in this paper
• Los Alamos National Laboratory — 2× in this paper
• Unified Framework — 2× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• R-Process Alliance — 1× in this paper

Sources

• A Data-Driven Model for Abundances in Metal-poor Stars and Implications for Nucleosynthetic Sources
• Unified Coupled-Channels and Hauser-Feshbach Model Calculation for Nuclear Data Evaluation

Related papers

• HXI-DLA2: A Physics-Constrained Deep Learning Algorithm for the ASO-S Hard X-ray Imager
• Effect of Neutron Star Jets on Common Envelope Evolution
• Constraining the origin of magnetic white dwarfs
• JW-FD: A 15-Year Multimodal Dataset for Solar Flare Forecasting
• Phlegethon: a fully compressible magnetohydrodynamic code for simulations in stellar astrophysics
• Can MHD Oscillations Modulate Quasi-Periodic Plasma Release from Coronal Streamers?