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Detecting and Characterizing Gravitational Waves with Minimal Assumptions
Başlık:
Detecting and Characterizing Gravitational Waves with Minimal Assumptions
Yazar:
Millhouse, Margaret Ann, author.
ISBN:
9780355978704
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (199 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisors: Neil J. Cornish Committee members: Greg Francis; Charles Kankleborg; Dana Longcope; Nico Yunes.
Özet:
After many years of preparation and anticipation, we are finally in the era of routine gravitational-wave detection. All of the detected signals so far have come from merging compact objects-- either black holes or neutron stars. These are signals for which we have very good waveform models, but there still exist other more poorly modeled sources as well as the possibility of completely new gravitational-wave sources. Because of this, it is important to have the ability to confidently detect gravitational-waves from a wide variety of sources. In this Thesis I will describe one particular algorithm used to detect and characterize gravitational-wave signals using Bayesian inference techniques, and minimal assumptions on the source of the gravitational wave. I will report on the methods and results of the implementation of this search in the first two observing runs of advanced LIGO. I will also discuss developments to this algorithm to improve waveform reconstruction, and target certain signals without using full waveform templates.
Notlar:
School code: 0137
Konu Başlığı:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(679842.1) | 679842-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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