| 書目名稱 | Extracting Physics from Gravitational Waves | | 副標(biāo)題 | Testing the Strong-f | | 編輯 | Tjonnie G. F. Li | | 視頻video | http://file.papertrans.cn/320/319957/319957.mp4 | | 概述 | Nominated for Springer Theses by the Gravitational Waves International Committee (GWIC).Winner of Stefano Braccini Thesis Prize 2014 awarded by the GWIC.Fills a gap by outlining the first data analysi | | 叢書名稱 | Springer Theses | | 圖書封面 |  | | 描述 | ?Tjonnie Li‘s thesis covers two applications of Gravitational Wave astronomy: tests of General Relativity in the strong-field regime and cosmological measurements. The first part of the thesis focuses on the so-called TIGER, i.e. Test Infrastructure for General Relativity, an innovative Bayesian framework for performing hypothesis tests of modified gravity using ground-based GW data. After developing the framework, Li simulates a variety of General Relativity deviations and demonstrates the ability of the aforementioned TIGER to measure them. The advantages of the method are nicely shown and compared to other, less generic methods. Given the extraordinary implications that would result from any measured deviation from General Relativity, it is extremely important that a rigorous statistical approach for supporting these results would be in place before the first Gravitational Wave detections begin. In developing TIGER, Tjonnie Li shows a large amount of creativity and originality, and his contribution is an important step in the direction of a possible discovery of a deviation (if any) from General Relativity..In another section, Li‘s thesis deals with cosmology, describing an expl | | 出版日期 | Book 2015 | | 關(guān)鍵詞 | Einstein Telescope; GWIC; Gravitational Wave Astronomy; Measuring Cosmological Parameters with Gravitat | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-19273-4 | | isbn_softcover | 978-3-319-36664-7 | | isbn_ebook | 978-3-319-19273-4Series ISSN 2190-5053 Series E-ISSN 2190-5061 | | issn_series | 2190-5053 | | copyright | Springer International Publishing Switzerland 2015 |
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