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Mar, 2022
利用神经网络发现暗物质晕密度分布的基本组成部分
Discovering the building blocks of dark matter halo density profiles with neural networks
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Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam...
TL;DR
该论文介绍了使用神经网络建模预测暗物质晕的密度分布,并利用低维的潜变量描述导致晕边界的物质的两种不同表现形式,其中包括Navarro-Frenk-White模型和splashback boundary。
Abstract
The
density profiles
of
dark matter halos
are typically modeled using empirical formulae fitted to the
density profiles
of relaxed halo po
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