| 書目名稱 | First-stage LISA Data Processing and Gravitational Wave Data Analysis |
| 副標(biāo)題 | Ultraprecise Inter-s |
| 編輯 | Yan Wang |
| 視頻video | http://file.papertrans.cn/344/343880/343880.mp4 |
| 概述 | Nominated as an outstanding Ph.D. thesis by the Gravitational Wave International Committee.Won the 2014 Stefano Braccini Thesis Prize awarded by the Gravitational Wave International Committee.Selected |
| 叢書名稱 | Springer Theses |
| 圖書封面 |  |
| 描述 | .This thesis covers a diverse set of topics related to space-based gravitational wave detectors such as the Laser Interferometer Space Antenna (LISA). The core of the thesis is devoted to the preprocessing of the interferometric link data for a LISA constellation, specifically developing optimal Kalman filters to reduce arm length noise due to clock noise. The approach is to apply Kalman filters of increasing complexity to make optimal estimates of relevant quantities such as constellation arm length, relative? clock drift, and Doppler frequencies based on the available measurement data. Depending on the complexity of the filter and the simulated data, these Kalman filter estimates can provide up to a few orders of magnitude improvement over simpler estimators. While the basic concept of the LISA? measurement (Time Delay Interferometry) was worked out some time ago, this work brings a level of rigor to the processing of the constellation-level data products...The thesis concludes with some topics related to the eLISA such as a new class of phenomenological waveforms for extreme mass-ratio inspiral sources (EMRIs, one of the main source for eLISA), an octahedral space-based GW detec |
| 出版日期 | Book 2016 |
| 關(guān)鍵詞 | Ultraprecise Inter-satellite Laser Ranging; Kalman Filter; Gravitational Wave Compressed Sensing; Likel |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-26389-2 |
| isbn_softcover | 978-3-319-79947-6 |
| isbn_ebook | 978-3-319-26389-2Series 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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