用于 Ly-α 模拟的 TensorFlow 流体动力学分析

IF 1.9 4区物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Astronomy and Computing Pub Date : 2024-07-01 DOI:10.1016/j.ascom.2024.100858

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引用次数: 0

摘要

我们介绍了 Python 程序 THALAS（TensorFlow Hydrodynamics Analysis for Lyman-Alpha Simulations），它将重子场（重子密度、温度和速度）映射到实际空间和红移空间的 Lyα 光学深度场。与以前的Lyα代码不同，THALAS是完全可微分的，因此可以广泛应用于流体力学模拟的一般分析和宇宙学推断。为了证明THALAS的能力，我们将其应用于Lyα森林反演问题：给定一个Lyα光学深度场，我们重建相应的真实空间暗物质密度场。这种应用与莱曼阿尔法森林数据的宇宙学和三维层析分析都有关系。

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TensorFlow Hydrodynamics Analysis for Ly-α Simulations

We introduce the Python program THALAS (TensorFlow Hydrodynamics Analysis for Lyman-Alpha Simulations), which maps baryon fields (baryon density, temperature, and velocity) to Ly $α$ optical depth fields in both real space and redshift space. Unlike previous Ly $α$ codes, THALAS is fully differentiable, enabling a wide variety of potential applications for general analysis of hydrodynamical simulations and cosmological inference. To demonstrate THALAS’s capabilities, we apply it to the Ly $α$ forest inversion problem: given a Ly $α$ optical depth field, we reconstruct the corresponding real-space dark matter density field. Such applications are relevant to both cosmological and three-dimensional tomographic analyses of Lyman Alpha forest data.

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来源期刊

Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.10

自引率

8.00%

发文量

期刊介绍： Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.