BriefGPT.xyz
Sep, 2023
使用去噪扩散概率模型预测分子云的辐射场
Predicting the Radiation Field of Molecular Clouds using Denoising Diffusion Probabilistic Models
HTML
PDF
Duo Xu, Stella Offner, Robert Gutermuth, Michael Grudic, David Guszejnov...
TL;DR
利用深度学习技术和尘埃发射数据,通过预测星际辐射场的强度,研究表明尘埃温度与实际的星际辐射场之间存在弱相关性,并且模型能够捕捉到星际辐射场的变化,但精确的预测需要准确的训练数据集来反映目标分子云的独特物理条件。
Abstract
Accurately quantifying the impact of
radiation feedback
in
star formation
is challenging. To address this complex problem, we employ
deep learnin
→