Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Marquina, Antonio"'
Implementation of the rROF denoising method in the cWB pipeline for gravitational-wave data analysis
Autor:
Barneo, Pablo J., Torres-Forné, Alejandro, Font, José A., Drago, Marco, Portell, Jordi, Marquina, Antonio
The data collected by the current network of gravitational-wave detectors are largely dominated by instrumental noise. Total variation methods based on L1-norm minimization have recently been proposed as a powerful technique for noise removal in grav
Externí odkaz:
http://arxiv.org/abs/2202.10465
Publikováno v:
Phys. Rev. D 102, 023011 (2020)
Data streams of gravitational-wave detectors are polluted by transient noise features, or "glitches", of instrumental and environmental origin. In this work, we investigate the use of total-variation methods and learned dictionaries to mitigate the e
Externí odkaz:
http://arxiv.org/abs/2002.11668
We present a new method for the classification of transient noise signals (or glitches) in advanced gravitational-wave interferometers. The method uses learned dictionaries (a supervised machine learning algorithm) for signal denoising, and untrained
Externí odkaz:
http://arxiv.org/abs/1811.03867
Publikováno v:
Phys. Rev. D 98, 084013 (2018)
We assess total-variation methods to denoise gravitational-wave signals in real noise conditions, by injecting numerical-relativity waveforms from core-collapse supernovae and binary black hole mergers in data from the first observing run of Advanced
Externí odkaz:
http://arxiv.org/abs/1806.07329
Gravitational wave astronomy has become a reality after the historical detections accomplished during the first observing run of the two advanced LIGO detectors. In the following years, the number of detections is expected to increase significantly w
Externí odkaz:
http://arxiv.org/abs/1612.01305
We apply a regularized Rudin-Osher-Fatemi total variation (TV) method to denoise the transient gravitational wave signal GW150914. We have previously applied TV techniques to denoise numerically generated grav- itational waves embedded in additive Ga
Externí odkaz:
http://arxiv.org/abs/1602.06833
We describe new methods for denoising and detection of gravitational waves embedded in additive Gaussian noise. The methods are based on Total Variation denoising algorithms. These algorithms, which do not need any a priori information about the sign
Externí odkaz:
http://arxiv.org/abs/1409.7888
Publikováno v:
In Computer Physics Communications October 2017 219:108-120
