Course Description: Introduction to current optical observational techniques, with brief coverage of infrared, ultraviolet, and X-ray techniques. Statistics, geometrical optics, telescopes, effects of the atmosphere, spectroscopic instruments, and detectors. Practical work at the observatory using a CCD camera. Some nighttime observing sessions.
Prerequisites: ASTR121 or ASTR200; PHYS161 or PHYS171; or permission of Department & instructor.
Lectures: Tu & Th, 2:00 - 3:15 pm, CSS 2428
Course Outline:
I. Introduction (6 lectures)
UM Observatory
Practical aspects of CCDs
Calibrations: dark, bias, flat field, etc.
IDL language
Statistics: Poisson distributions, variance and
standard deviations,
measurement significance, comparison with theory
Coordinates, time, catalogs
II. Optics (6 lectures)
Fermat principle
Basic geometrical optics
Telescopes
Aberrations
III. Atmosphere (2 lectures)
Attenuation
Refraction
Scintillation and seeing
Adaptive optics and laser guide stars
IV. Spectral Analysis (5 lectures)
Diffraction & interference
Etendue, spectral resolution
Prisms, Gratings, echelles, echellettes, cross-disperser
Grating spectrometers
Fabry-Perot interferometers, interference filters
V. Detectors (7 lectures)
Optical: human eye, photography, photomultipliers,
CCDs
UV, infrared: photoconductors, bolometers
X-rays, gamma-rays
Calculations of signal-to-noise ratios, exposure times
Web page: http://www.astro.umd.edu/
veilleux/ASTR310/fall06
Required book: Astrophysical Techniques by
C. R. Kitchin (2003, 4th Edition; 0-7503-0946-6)
Optics by E. Hecht (2002; 0-8053-8566-5)
Optional book: Handbook of CCD Astronomy by Steve B. Howell (2000; 0-521-64834-3)
Advanced book: Detection of Light by G. Rieke (2003, 2nd Edition; 0-521-01710-6)
Problem sets:
4 sets during the semester
Projects: (1) Measure gain and readout noise of a
CCD camera
(2) Observations at UM Observatory:
(i) Imaging of nebulae with interference filters
(ii) Imaging of an open cluster with broad-band
filters
(3) Use of image-processing routines to reduce and
analyze cluster data
Mid-term and Final Exams: October 19 or 24, 2:00 - 3:15 pm; December 18, 10:30 am - 12:30 pm. Closed book, in-class.
Grading:
| Homeworks | 15% |
| Projects | 40% |
| Mid-term exam | 15% |
| Final exam | 30% |