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
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Techn.
Dateigröße
ISBN-13
978-0-323-97257-4 (9780323972574)
Schweitzer Klassifikation
1. Introduction to Astrochemical Modeling
Part I: Chemistry2. Designing a Gas-Phase Chemical Network3. Time-Dependent Integration of Chemical Networks4. Dust and Surface Chemistry5. Integrating Astrochemistry in Hydrodynamics
Part II: Radiation and cosmic rays6. Optically Thin Atomic Photochemistry7. Molecules and Radiation Shielding8. Dust-Radiation (Attenuation and Other)9. Cosmic Rays: Physics, Chemistry, and Computational Challenges
Part III: Thermal processes10. Implementing Cooling and Heating I: Atomic Gas11. Implementing Cooling and Heating II: Molecular Gas12. Implementing Cooling and Heating III: Dust Grains
Part IV: Beyond the essentials13. Extra Complexity14. Synthetic Observations: Bridge the Gap Theory-Observations
Part VI: Case studies15. Modelling large scales: galaxy and molecular clouds16. Modelling small scales: star-formation in filaments, clumps, cores17. Modelling radiation and chemistry in protostellar environments18. The challenge: modelling protoplanetary discs19. Cosmological simulations first stars and SMBHs20. Conclusions and future perspectives