ASTR610, Fall 2016


Course syllabus and other information
Approximate lecture schedule

Lecture slides

7 Sep 2016: Detectors
12 Sep 2016: Calorimetry
21 Sep 2016: Statistics overview
26 Sep 2016: Chi-squared
28 Sep 2016: Bayes introduction
03 Oct 2016: MCMC introduction and animations (first, second)
05 Oct 2016: Telescope optics
12 Oct 2016: Fourier series and orthogonality
17 Oct 2016: Two-exponential convolution and autocorrelation animations
24 Oct 2016: Sampling animation.  Sample points are black dots.  Original cosine in blue.  Aliased cosine in thin black line.
26 Oct 2016: FFT examples: cosine, filtering, baseline ripples
31 Oct 2016: Diffraction examples
2 Nov 2016: Introduction to adaptive and active optics
7 Nov 2016: Michelson's and Ryle's interferometers
9 Nov 2016: Fringes
14 Nov 2016: Covering the uv plane and the resulting beam patterns
16 Nov 2016: CLEAN and a little look at MEM
21 Nov 2016: Colors, etc.
28 Nov 2016: Grating spectrometers
30 Nov 2016: Fabry-Perot etalons
  7 Dec 2016: Correlation spectrometers
12 Dec 2016: Gravitational wave detection

Problem set data

PS1 files are here (or if you are on one of the departmental computers: /n/a4/harris/public_html/ASTR610_F16/PSdat/PS1/)
PS6 files are here (or if you are on one of the departmental computers: /n/a4/harris/public_html/ASTR610_F16/PSdat/PS6/)

Midterm score distribution

MT Distribution

ASTR695 presentation

03 Oct 2016: Radio spectroscopy

Using the R language at UMD

Startup notes on using R on the University of Maryland Astronomy computers.
Example code for linear fit

Questions or comments?  Please contact Andrew Harris.