The second edition of this popular text provides undergraduates with a quantitative yet accessible introduction to the physical principles underlying the collection and analysis of observational data in contemporary optical and infrared astronomy. The text clearly links recent developments in ground- and space-based telescopes, observatory and instrument design, adaptive optics, and detector technologies to the more modest telescopes and detectors that students may use themselves. Beginning with reviews of the most relevant physical concepts and an introduction to elementary statistics, students are given the firm theoretical foundation they need. New topics, including an expanded treatment of spectroscopy, Gaia, the Large Synoptic Survey Telescope, and photometry at large redshifts bring the text up to date. Historical development of topics and quotations emphasize that astronomy is both a scientific and a human endeavour, while extensive end-of-chapter exercises facilitate the students' practical learning experience.Read more
- Key in-text examples, figures, and end-of-chapter problems have been added or revised, and new topics added, including Gaia, the Large Synoptic Survey Telescope, and photometry at large redshifts, bringing the book up to date
- Reviews of the most relevant physical concepts, such as optics, atomic structure, and solid-state physics, and an introduction to elementary statistics provide students with the essential foundation they need
- Basic observational ideas are covered early on, supporting student practice at the observatory from the very beginning
- Online resources include figures and solution sets for instructors
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- Edition: 2nd Edition
- Date Published: October 2016
- format: Paperback
- isbn: 9781107572560
- length: 472 pages
- dimensions: 246 x 188 x 21 mm
- weight: 1.02kg
- contains: 274 b/w illus.
- availability: In stock
Table of Contents
3. Place, time, and motion
4. Names, catalogs, and databases
5. Optics for astronomy
6. Astronomical telescopes
7. Matter and light
9. Digital images from arrays
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