Astronomy 8824: Numerical and Statistical Methods in Astrophysics
Autumn 2013
Items handed out in class
Reading Assignments
Assignments are from Numerical Recipes (Press) or
Statistics, Data Mining, and Machine Learning Astronomy (Ivezic).
- Week 1: Read NR Chapter 4, mainly 4.0-4.4. Also read the
Introduction and Appendix of Statistics ...
Notes
Problem Sets
Codes and Resources
- Starting codes for numerical integration (PS 1):
main.py,
integrand.py,
integrate_sub.py.
- Some resources for the SM plotting package:
-
A tutorial on SM
- .sm environment file. This should go in your
home directory, called .sm, with all /home/cosmology/dhw occurrences
changed to your home directory.
- DHW's macros. Given the dotSM file, this should
go in a directory Smacro in your home directory, with filename "default."
- DHW's graphcap definitions. This should go in
the Smacro directory with filename "privcap."
- SM script for PS 1 convergence plot.
If you make this script executable, then "sm.converge 5" will put a plot
on your screen for 5 seconds (you can ^Z to keep it there longer), and
"sm.converge 0" will put the plot in the file "converge.ps".
- A quick reference guide for
Python plots, from Cassi Lochhaas.
- Intro to Python slides from Demetri Muna.
- Code used to make the line-fit illustration plots.
- Tom
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."
- Dark energy review article that I
discussed in class on 10/7.
Go to David Weinberg's Home Page
Updated: 2013 December 2[dhw]