2009 Computational Astronomy

Lecture notes:

1: Data overview
2: Python intro
3: Noise
4: Signal fitting
5: Source detection
6: Sensitivity, Completeness, Reliability
7: Confusion
8: Catalog cross-matching
9: Radio astronomy
10: Radio - polarization and spectroscopy
11: Complex, Fourier, Correlation
12: Interferometry
13: More interferometry
14: Weighting
15: Cleaning
16: Calibration, VLBI, spectroscopy
17: AIPS; hi-E astronomy
18: XMM
19: Further XMM
20: WCS; XMM calibration
21: X-ray astrophysics
22: Model fitting
23: Some active Comp. Astron.
24: Revision

Assignments (tuts):

Assignment 1
Assignment 2
Assignment 3
Assignment 4

Some answers:

Assignment 3 answers

Tut notes:

AIPS tut 1

Exam notes:

Equations you need to know:
Word
PDF

The exam papers:
Paper A: Word PDF
Paper B: Word PDF

Data:

M82_DIRTY.FITS