| 書目名稱 | Optimized Dark Matter Searches in Deep Observations of Segue 1 with MAGIC |
| 編輯 | Jelena Aleksi? |
| 視頻video | http://file.papertrans.cn/704/703335/703335.mp4 |
| 概述 | Nominated as an outstanding Ph.D. thesis by the Institut de Física d‘Altes Energies, Spain.Presents the deepest survey of dwarf spheroidal galaxy Segue 1.Outlines the analysis optimized for dark matte |
| 叢書名稱 | Springer Theses |
| 圖書封面 |  |
| 描述 | .This thesis presents the results of indirect dark matter searches in the gamma-ray sky of the near Universe, as seen by the MAGIC Telescopes. The author has proposed and led the 160 hours long observations of the dwarf spheroidal galaxy Segue 1, which is the deepest survey of any such object by any Cherenkov telescope so far. Furthermore, she developed and completely characterized a new method, dubbed “Full Likelihood”, that optimizes the sensitivity of Cherenkov instruments for detection of gamma-ray signals of dark matter origin. Compared to the standard analysis techniques, this novel approach introduces a sensitivity improvement of a factor of two (i.e. it requires 4 times less observation time to achieve the same result). In addition, it allows a straightforward merger of results from different targets and/or detectors..By selecting the optimal observational target and combining its very deep exposure with the Full Likelihood analysis of the acquired data, the author has improved the existing MAGIC bounds to the dark matter properties by more than one order of magnitude. Furthermore, for particles more massive than a few hundred GeV, those are the strongest constraints from d |
| 出版日期 | Book 2016 |
| 關(guān)鍵詞 | Cherenkov telescopes; Dark matter search; Dwarf spheroidal galaxies; Full Likelihood method; Gamma-ray a |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-23123-5 |
| isbn_softcover | 978-3-319-37071-2 |
| isbn_ebook | 978-3-319-23123-5Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | Springer International Publishing Switzerland 2016 |
|Archiver|手機版|小黑屋|
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