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Computational Astrophysics: Simulating the Large-Scale Structure of the Universe
Computational Simulating the Large-Scale Structure of the Universe
What if you could simulate the universe—from the tiniest quantum fluctuations to the vast web of galaxies spanning billions of light-years?
Computational Simulating the Large-Scale Structure of the Universe by Andre Gray is a rigorous and accessible introduction to the algorithms, physics, and coding techniques that drive modern cosmological simulations. Designed for graduate students, researchers, and technical enthusiasts, this book walks you through the essential models and methods used to study dark matter halos, baryonic physics, and galaxy evolution across cosmic time.
From N-body simulations and smoothed particle hydrodynamics (SPH) to adaptive mesh refinement (AMR) and machine learning–based surrogates, each chapter blends astrophysical theory with real-world computational practices. You’ll learn to build, analyze, and visualize your own simulations using Python, C++, and parallel GPU acceleration, with a strong focus on reproducibility and open science.
Whether you're modeling the birth of galaxies or preparing for the exascale future of scientific computing, this book equips you with the tools and mindset to simulate—and better understand—the evolving universe.
What if you could simulate the universe—from the tiniest quantum fluctuations to the vast web of galaxies spanning billions of light-years?
Computational Simulating the Large-Scale Structure of the Universe by Andre Gray is a rigorous and accessible introduction to the algorithms, physics, and coding techniques that drive modern cosmological simulations. Designed for graduate students, researchers, and technical enthusiasts, this book walks you through the essential models and methods used to study dark matter halos, baryonic physics, and galaxy evolution across cosmic time.
From N-body simulations and smoothed particle hydrodynamics (SPH) to adaptive mesh refinement (AMR) and machine learning–based surrogates, each chapter blends astrophysical theory with real-world computational practices. You’ll learn to build, analyze, and visualize your own simulations using Python, C++, and parallel GPU acceleration, with a strong focus on reproducibility and open science.
Whether you're modeling the birth of galaxies or preparing for the exascale future of scientific computing, this book equips you with the tools and mindset to simulate—and better understand—the evolving universe.
408 pages, Paperback
Published December 6, 2025
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