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Astrochemical Modeling: Practical Aspects of Microphysics in Numerical Simulations - Softcover

 
9780323917469: Astrochemical Modeling: Practical Aspects of Microphysics in Numerical Simulations

Synopsis

Astrochemical Modelling: Practical Aspects of Microphysics in Numerical Simulations is a comprehensive and detailed guide to dealing with the standard problems that students and researchers face when they need to take into account astrochemistry in their models, including building chemical networks, determining the relevant processes, and understanding the theoretical challenges and the numerical limitations. The book provides chapters covering the theoretical background on the predominant areas of astrochemistry, with each chapter following theoretical background with information on existing databases, step-by-step computational examples with solutions to recurrent problems, and an overview of the different processes and their numerical implementation.

Furthermore, a section on case studies provides concrete examples of computational modelling usage for real-world applications and cases where the techniques can be applied is also included.

  • Provides theoretical background on topics that is followed by computational examples and tailored tutorials to allow for full understanding and replication of techniques
  • Written by theoreticians and authors with direct experience on the computational implementation to provide a realistic and pragmatic approach to common problems
  • Details up-to-date information on available databases, tools and benchmarks for practical usage, forming a good starting point for introductory readers and a reference for actual implementation for more advanced researchers

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About the Authors

Stefano Bovino is Associate Professor in the Department of Astronomy, Universidad de Concepción, Chile, and head of the Astrochemistry group. His research focuses on astrochemistry, and is concerned with providing state-of- the-art models that allow a comparison and a better interpretation of the observational data, employing them to perform 3D hydrodynamical simulations of different environments. He is co-developer of the astrochemistry package KROME, a widely used public tool to model chemistry and microphysics in hydrodynamical simulations. As an astrochemist, he is involved in where microphysics could be relevant like the ISM in galaxies, star formation in molecular clouds, and the transition between the first and second generation of stars where dust has played a crucial role.

Tommaso Grassi is a research fellow at Ludwig Maximilian University of Munich, Germany, with longstanding experience in computational astrochemistry. Over the years he has tackled various different astrochemical problems from star formation to protoplanetary discs, including for instance the effects of microphysics into magneto-hydrodynamical models. He is the main developer of the public astrochemistry package KROME among other useful public codes he released over the course of his career.

From the Back Cover

Astrochemical Modelling: Practical Aspects of Microphysics in Numerical Simulations is a comprehensive and detailed guide to dealing with the standard problems that students and researchers face when they need to take into account astrochemistry in their models, including building chemical networks, determining the relevant processes, and understanding the theoretical challenges and the numerical limitations. The book provides chapters covering the theoretical background on the predominant areas of astrochemistry and each chapter follows the theoretical background with information on existing databases, step-by-step computational examples with solutions to recurrent problems, and an overview of the different processes and their numerical implementation. Furthermore, a section on case studies provides concrete examples of computational modelling usage for real-world applications and cases where the techniques can be applied. Astrochemical Modelling offers a detailed practical guide to implementing computation modelling in astrochemistry for introductory and more experienced astrochemists, astrophysicists and astronomers who need to implement modern numerical models or want to start developing computational models to study astronomical regions.

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