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astro-Jupyter: Simple astrophysics in Python/Jupyter

Colin Leach, 2018-19

References

Astropy has tutorials which are already very useful and appear to be under active development. On the web at http://www.astropy.org/astropy-tutorials/ or clone from GitHub: https://github.com/astropy/astropy-tutorials.

Tech Savvy Astro is a useful source of advice on software tools and training.

Several standard textbooks are referenced within the notebooks. These include:

"An Introduction to Modern Astrophysics"
Bradley W. Carroll and Dale A. Ostlie
Second Edition, Addison Wesley, 2007

"Principles of Astrophysics"
Charles Keeton
Springer, 2014

"Solar System Dynamics"
C.D. Murray and S.F. Dermott
Cambridge University Press, 1999

"Stars and Stellar Evolution"
K.S. de Boer and W. Seggewiss
EDP Sciences, 2008

"Mathematical Methods in the Physical Sciences"
M. Boas
Third Edition, Wiley, 1980

Additionally, some of these authors supply sample code for download:

None of my notebooks are simple translations (and Carroll/Ostlie explicitly asked me not to post such code), but borrowing some functions was useful and is acknowledged in the notebooks.

Courses

Through the kindness of friends, I was allowed to audit some courses at Steward Observatory, University of Arizona:

  • ASTR 300A, "Dynamics and Mechanics in Astrophysics", Fall 2018. Many thanks to Prof Kaitlin Kratter and Michael Hammer for their support in the class, and Ruth McCutcheon for her help in setting it up.
  • ASTR 300B, "Radiation and Matter", Spring 2019. I am grateful to Prof Yancy Shirley for this.

I have of course tried to avoid including anything too close to graded coursework.

Next, onwards to ASTR 400A, "Theoretical Astrophysics" (Prof Nathan Smith) and PTYS 450, "Origin of the Solar System and Other Planetary Systems" (Prof Ilaria Pascucci) in Fall 2019.

MOOCs are a great help to those of us who are no longer full-time students. Astronomy is perhaps under-represented in a sea of computer science courses, but several proved interesting and useful.