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Jul, 2024
基于流动的生成模拟策略的星演进模型网格
Flow-Based Generative Emulation of Grids of Stellar Evolutionary Models
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Marc Hon, Yaguang Li, Joel Ong
TL;DR
通过流基生成方法来模拟恒星演化模型,使用条件归一化流来学习和预测输入参数和输出属性之间的复杂关系,并且应用于红巨星的星震学数据,有效估计恒星参数并指出之前红巨星的质量估计存在一定偏差。
Abstract
We present a
flow-based generative approach
to emulate grids of stellar
evolutionary models
. By interpreting the input parameters and output properties of these models as multi-dimensional probability distributio
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