Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Haegel, Leïla"'
Autor:
Narola, Harsh, Janquart, Justin, Haegel, Leïla, Haris, K., Hannuksela, Otto A., Broeck, Chris Van Den
Strong gravitational lensing produces multiple images of a gravitational wave (GW) signal, which can be observed by detectors as time-separated copies of the same event. It has been shown that under favourable circumstances, by combining information
Externí odkaz:
http://arxiv.org/abs/2308.01709
Autor:
Haegel, Leïla, O'Neal-Ault, Kellie, Bailey, Quentin G., Tasson, Jay D., Bloom, Malachy, Shao, Lijing
Publikováno v:
Phys.Rev.D 107 (2023) 6, 064031
An effective field theory framework, the Standard-Model Extension, is used to investigate the existence of Lorentz and CPT-violating effects during gravitational wave propagation. We implement a modified equation for the dispersion of gravitational w
Externí odkaz:
http://arxiv.org/abs/2210.04481
Publikováno v:
Universe 2021, 7(10), 380
In this work, we review the effective field theory framework to search for Lorentz and CPT symmetry breaking during the propagation of gravitational waves. The article is written so as to bridge the gap between the theory of spacetime-symmetry breaki
Externí odkaz:
http://arxiv.org/abs/2108.06298
Autor:
Haegel, Leïla
The direct detection of gravitational waves by ground-based interferometers opened an unprecedented channel to probe alternative theories of gravitation. Several theories predict a dispersion of the gravitational waves during their propagation, disto
Externí odkaz:
http://arxiv.org/abs/2106.05097
Autor:
Cuoco, Elena, Powell, Jade, Cavaglià, Marco, Ackley, Kendall, Bejger, Michal, Chatterjee, Chayan, Coughlin, Michael, Coughlin, Scott, Easter, Paul, Essick, Reed, Gabbard, Hunter, Gebhard, Timothy, Ghosh, Shaon, Haegel, Leila, Iess, Alberto, Keitel, David, Marka, Zsuzsa, Marka, Szabolcs, Morawski, Filip, Nguyen, Tri, Ormiston, Rich, Puerrer, Michael, Razzano, Massimiliano, Staats, Kai, Vajente, Gabriele, Williams, Daniel
Machine learning has emerged as a popular and powerful approach for solving problems in astrophysics. We review applications of machine learning techniques for the analysis of ground-based gravitational-wave detector data. Examples include techniques
Externí odkaz:
http://arxiv.org/abs/2005.03745
Autor:
Estellés, Héctor, Ramos-Buades, Antoni, Husa, Sascha, García-Quirós, Cecilio, Colleoni, Marta, Haegel, Leïla, Jaume, Rafel
Publikováno v:
Phys. Rev. D 103, 124060 (2021)
In this work we present IMRPhenomTP, a time domain phenomenological model for the dominant $l=2$, $m=|2|$ modes of coalescing black hole binary systems and its extension to describe general precessing systems within the "twisting up" approximation. T
Externí odkaz:
http://arxiv.org/abs/2004.08302
Autor:
Haegel, Leïla, Husa, Sascha
Publikováno v:
Class.Quant.Grav. 37 (2020) 13, 135005
We present the first estimation of the mass and spin magnitude of Kerr black holes resulting from the coalescence of binary black holes using a deep neural network. The network is trained on a dataset containing 80\% of the full publicly available ca
Externí odkaz:
http://arxiv.org/abs/1911.01496
Akademický článek
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Autor:
Hannam, Mark, Schmidt, Patricia, Bohé, Alejandro, Haegel, Leila, Husa, Sascha, Ohme, Frank, Pratten, Geraint, Pürrer, Michael
Publikováno v:
Phys. Rev. Lett. 113, 151101 (2014)
The construction of a model of the gravitational-wave (GW) signal from generic configurations of spinning-black-hole binaries, through inspiral, merger and ringdown, is one of the most pressing theoretical problems in the build-up to the era of GW as
Externí odkaz:
http://arxiv.org/abs/1308.3271
Akademický článek
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