Multimessenger Astronomy in Practice

Multimessenger Astronomy in Practice
Author :
Publisher : Programme: Aas-Iop Astronomy
Total Pages : 300
Release :
ISBN-10 : 0750323426
ISBN-13 : 9780750323420
Rating : 4/5 (26 Downloads)

Book Synopsis Multimessenger Astronomy in Practice by : Miroslav D. Filipović

Download or read book Multimessenger Astronomy in Practice written by Miroslav D. Filipović and published by Programme: Aas-Iop Astronomy. This book was released on 2021 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first non-electromagnetic messengers from space were discovered in the early 20th century, but it is only now that multimessenger astronomy is coming into its own. The aim of Multimessenger Astronomy in Practice is to aid an astronomer who is new to research in a particular area of multimessenger astronomy. Covering electromatic radiation from radio through to gamma-rays, and moving on to neutrino, cosmic-ray and gravitational wave astronomy, it gives the reader an overview of the celestial objects detected in each region, the unique methods used to measure them, as well as the principles and methods of data collection, calibration, reduction and analysis. Further chapters cover dark matter, the multimessenger search for extraterrestrial intelligence (SETI), and data science with machine learning. The book will help educate astronomy students taking a multimessenger approach, and add to the knowledge of professional astronomers about what is available in today's multimessenger toolbox. Key Features: Prepares astronomers new to research in a particular area of multimessenger astronomy Covers modern astrophysics across the electromatic spectrum from radio through to gamma-rays, as well as neutrino, cosmic-ray and gravitational wave astronomy Details the celestial objects detected in each region, the detection methods used, and the principles and methods of data collection, calibration, reduction and analysis Includes chapters on dark matter, the multimessenger search for extraterrestrial intelligence (SETI), and data science with machine learning


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