Astronomy 8824: Numerical and Statistical Methods in Astrophysics
For the Autumn 2013 course web page, go
Items handed out in class
Assignments are from Numerical Recipes (Press et al.) or
Statistics, Data Mining, and Machine Learning Astronomy (Ivezic et al.).
I have written a
reader's guide to chapters 3-5
of Ivezic. It will be useful to read the guide before you
read the corresponding chapter, and maybe to read it again
afterward, to get the overall context of what is covered in
these three long and wide-ranging chapters.
- Reading 1: Read NR Chapter 4, mainly 4.0-4.4, on numerical
integration. Also read the
Introduction and Appendix A of Statistics ...
- Subsequent assignments were given in the notes or homework assignments.
Sorry I didn't keep up the list here.
Codes and Resources
- Some resources for the SM plotting package:
- A quick reference guide for
Python plots, from Cassi Lochhaas.
- Intro to Python slides from Demitri Muna.
Loredo's Bayesian Reprints. The first two articles on this page,
"From Laplace to SN 1987a ..." and "The Promise of Bayesian Inference ...",
are excellent introductions to Bayesian statistical methods. There is
substantial overlap between them; the first is more "philosophical" in
orientation, the second more "practical."
Go to David Weinberg's Home Page
Updated: 2015 December 8[dhw]