The extraction of weak signals from instrumental noise is a critical task in ongoing searches for gravitational waves. A detection and estimation method, made feasible by Particle Swarm Optimization, is presented for a particularly challenging class of signals expected from astrophysical sources
The detection of unmodeled gravitational wave transients (bursts) using a network of interferometric...
We develop data analysis methods to improve the sensitivity of searches for gravitational-wave signa...
It is difficult to choose detection thresholds for tests of nonstationarity that assume a priori a n...
The extraction of weak signals from instrumental noise is a critical task in ongoing searches for gr...
The direct detection of Gravitational Waves (GWs) starting in 2015 has opened a new window on the ob...
The detection and estimation of gravitational wave signals belonging to a parameterized family of wa...
Signal extraction out of background noise is a common challenge in high-precision physics experiment...
In order to analyze data produced by the kilometer-scale gravitational wave detectors that will begi...
Gravitational wave detectors will need optimal signal-processing algorithms to extract weak signals ...
The article reviews the statistical theory of signal detection in application to analysis of determi...
The quest to observe gravitational waves challenges our ability to discriminate signals from detecto...
We report the results of an in-depth analysis of the parameter estimation capabilities of BayesWave,...
Super-massive black hole binaries are expected to produce a gravitational wave (GW) signal in the na...
International audienceEstimating the parameters of gravitational wave signals detected by ground-bas...
The article reviews the statistical theory of signal detection in application to analysis of determi...
The detection of unmodeled gravitational wave transients (bursts) using a network of interferometric...
We develop data analysis methods to improve the sensitivity of searches for gravitational-wave signa...
It is difficult to choose detection thresholds for tests of nonstationarity that assume a priori a n...
The extraction of weak signals from instrumental noise is a critical task in ongoing searches for gr...
The direct detection of Gravitational Waves (GWs) starting in 2015 has opened a new window on the ob...
The detection and estimation of gravitational wave signals belonging to a parameterized family of wa...
Signal extraction out of background noise is a common challenge in high-precision physics experiment...
In order to analyze data produced by the kilometer-scale gravitational wave detectors that will begi...
Gravitational wave detectors will need optimal signal-processing algorithms to extract weak signals ...
The article reviews the statistical theory of signal detection in application to analysis of determi...
The quest to observe gravitational waves challenges our ability to discriminate signals from detecto...
We report the results of an in-depth analysis of the parameter estimation capabilities of BayesWave,...
Super-massive black hole binaries are expected to produce a gravitational wave (GW) signal in the na...
International audienceEstimating the parameters of gravitational wave signals detected by ground-bas...
The article reviews the statistical theory of signal detection in application to analysis of determi...
The detection of unmodeled gravitational wave transients (bursts) using a network of interferometric...
We develop data analysis methods to improve the sensitivity of searches for gravitational-wave signa...
It is difficult to choose detection thresholds for tests of nonstationarity that assume a priori a n...
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