SEDONA-GesaRaT: an AI-Accelerated Radiative Transfer Program for 3-D Supernova Simulations

arXiv:2507.11767 · astro-ph.HE · Submitted 2025-07-15 · Read on arXiv

Xingzhuo Chen, Ulisses Braga-Neto, Lifan Wang, Daniel Kasen, Zhengwei Liu, F. K. Roepke, Ming Zhong, David J. Jeffery

astro-ph.HE

Submitted: 2025-07-15

Updated: 2026-08-20

Project page: https://geronimochen.github.io/images/APNN.png

Terminology

• Core — 11× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Abundance — 4× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 3× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes

Sources

• Non-LTE Synthetic Observables of a Multidimensional Model of Type Ia Supernovae
• An Integral-Based Technique (IBT) to Accelerate the Monte-Carlo Radiative Transfer Computation for Supernovae
• Adam: A Method for Stochastic Optimization
• Simulating the observed diversity of Type Ia supernovae - Introducing a model data base
• A 3D Simulation of a Type II-P Supernova: from Core Bounce to Beyond Shock Breakout

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