Astrochemical Modeling Practical Aspects of Microphysics in Numerical Simulations

Langue : Anglais

Coordonnateurs : Bovino Stefano, Grassi Tommaso

Couverture de l’ouvrage Astrochemical Modeling

Résumé
Sommaire
Biographie
Commentaire

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.

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

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.

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