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.
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Zielgruppe
Für Beruf und Forschung
Research scientists, professionals, academics, graduate students and undergraduates in astrochemistry, computational astrophysics, astronomy, and quantum chemistry. As well as undergraduates and graduate students working on the interdisciplinary field of astrochemistry and astrobiology, and advanced researchers who want to develop computational models to study astronomical regions; Researchers and professionals in planetary atmospheres, chemistry, and experimental physics
Maße
Höhe: 235 mm
Breite: 190 mm
Dicke: 23 mm
Gewicht
ISBN-13
978-0-323-91746-9 (9780323917469)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Stefano Bovino is Associate Professor in the Department of Astronomy, Universidad de Concepcion, 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.
Herausgeber*in
Associate Professor, Department of Chemistry, Sapienza University of Rome, Italy; Department of Astronomy, Universidad de Concepcion, Chile
Research Fellow, Ludwig Maximilian University of Munich, Germany
1. Introduction to Astrochemical Modeling
Part I: Chemistry
2. Designing a Gas-Phase Chemical Network
3. Time-Dependent Integration of Chemical Networks
4. Dust and Surface Chemistry
5. Integrating Astrochemistry in Hydrodynamics
Part II: Radiation and cosmic rays
6. Optically Thin Atomic Photochemistry
7. Molecules and Radiation Shielding
8. Dust-Radiation (Attenuation and Other)
9. Cosmic Rays: Physics, Chemistry, and Computational Challenges
Part III: Thermal processes
10. Implementing Cooling and Heating I: Atomic Gas
11. Implementing Cooling and Heating II: Molecular Gas
12. Implementing Cooling and Heating III: Dust Grains
Part IV: Beyond the essentials
13. Extra Complexity
14. Synthetic Observations: Bridge the Gap Theory-Observations
Part VI: Case studies
15. Modelling large scales: galaxy and molecular clouds
16. Modelling small scales: star-formation in filaments, clumps, cores
17. Modelling radiation and chemistry in protostellar environments
18. The challenge: modelling protoplanetary discs
19. Cosmological simulations first stars and SMBHs
20. Conclusions and future perspectives