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Handbook of X-ray Astronomy: Cambridge Observing Handbooks for Research Astronomers, cartea 7

Editat de Keith Arnaud, Randall Smith, Aneta Siemiginowska
en Limba Engleză Hardback – 28 sep 2011
Modern x-ray data, available through online archives, are important for many astronomical topics. However, using these data requires specialized techniques and software. Written for graduate students, professional astronomers and researchers who want to start working in this field, this book is a practical guide to x-ray astronomy. The handbook begins with x-ray optics, basic detector physics and CCDs, before focussing on data analysis. It introduces the reduction and calibration of x-ray data, scientific analysis, archives, statistical issues and the particular problems of highly extended sources. The book describes the main hardware used in x-ray astronomy, emphasizing the implications for data analysis. The concepts behind common x-ray astronomy data analysis software are explained. The appendices present reference material often required during data analysis.
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Specificații

ISBN-13: 9780521883733
ISBN-10: 0521883733
Pagini: 206
Ilustrații: 60 b/w illus.
Dimensiuni: 160 x 235 x 15 mm
Greutate: 0.45 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Cambridge Observing Handbooks for Research Astronomers

Locul publicării:Cambridge, United Kingdom

Cuprins

1. X-ray astronomy optics Daniel A. Schwartz; 2. Proportional counters and other detector techniques Richard J. Edgar; 3. CCDs for x-ray astronomy Catherine E. Grant; 4. Data reduction and calibration Keith A. Arnaud and Randall K. Smith; 5. Data analysis Randall K. Smith, Keith A. Arnaud and Aneta Siemiginowska; 6. Archives, surveys, catalogues and software Keith Arnaud; 7. Statistics Aneta Siemiginowska; 8. Analysis of extended emission K. D. Kuntz; Appendices; Index.

Recenzii

'… this is an excellent, good-value book and should be required reading for all those interested in X-ray astronomy.' The Observatory

Descriere

A practical guide for graduate students, professionals and researchers, describing the main hardware and the concepts behind data analysis software.