Undergraduate Lecture Notes in Physics

Numerical Python in Astronomy and Astrophysics

A Practical Guide to Astrophysical Problem Solving

Authors: Schmidt, Wolfram, Völschow, Marcel

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  • Teaches programming in Python with the aid of examples from astronomy and astrophysics
  • Offers an accessible approach to numerical techniques and methods of data analysis used by astrophysicists
  • Promotes a research-oriented approach
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  • ISBN 978-3-030-70347-9
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Softcover £44.99
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  • ISBN 978-3-030-70346-2
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About this Textbook

This book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the context of astronomy and astrophysics. It not only enables students to learn programming with the aid of examples from these fields but also provides ample motivation for engagement in independent research. The book opens by outlining the importance of computational methods and programming algorithms in contemporary astronomical and astrophysical research, showing why programming in Python is a good choice for beginners. The performance of basic calculations with Python is then explained with reference to, for example, Kepler’s laws of planetary motion and gravitational and tidal forces. Here, essential background knowledge is provided as necessary. Subsequent chapters are designed to teach the reader to define and use important functions in Python and to utilize numerical methods to solve differential equations and landmark dynamical problems in astrophysics. Finally, the analysis of astronomical data is discussed, with various hands-on examples as well as guidance on astronomical image analysis and applications of artificial neural networks.

About the authors

Wolfram Schmidt is Head of IT and senior researcher at the Hamburg Observatory. He holds a Dipl.-Ing. in Physics and an M.Phil. in Astrophysics and received his Dr. rer. nat. from the Technical University of Munich and the Max Planck Institute for Astrophysics, Garching. He completed his Habilitation with a thesis on the numerical modeling of astrophysical turbulence. Dr. Schmidt has worked on numerical simulations of a variety of astrophysical systems, ranging from thermonuclear supernovae through star-forming clouds to cosmological structure formation. Currently he is conducting research projects in the areas of computational cosmology and magnetohydrodynamic turbulence with international collaborators. In addition to his research activities, he teaches high-performance computing at Hamburg University and acts as a consultant to the Northern Supercomputing Alliance (HLRN).

Marcel Völschow is a research associate at Hamburg University. He holds BSc and MSc degrees in Physics and the subject of his doctorate is magnetic processes in binary stars. While being rooted in theoretical astrophysics, his research also covers the processing and analysis of large survey data sets. Whether working in public outreach, high school labs, or academic teaching, he has always been motivated by enthusiasm for the beauty of the universe. He is the author of a number of articles in peer-reviewed journals.

Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook £35.99
price for United Kingdom (gross)
  • ISBN 978-3-030-70347-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover £44.99
price for United Kingdom (gross)
  • ISBN 978-3-030-70346-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Numerical Python in Astronomy and Astrophysics
Book Subtitle
A Practical Guide to Astrophysical Problem Solving
Authors
Series Title
Undergraduate Lecture Notes in Physics
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-70347-9
DOI
10.1007/978-3-030-70347-9
Softcover ISBN
978-3-030-70346-2
Series ISSN
2192-4791
Edition Number
1
Number of Pages
X, 250
Number of Illustrations
5 b/w illustrations, 50 illustrations in colour
Topics