Sensitivity study using machine learning algorithms on simulated r-mode gravitational wave signals from newborn neutron stars

9 Aug 2015Antonis MytidisAthanasios Aris PanagopoulosOrestis P. PanagopoulosAndrew MillerBernard Whiting

This is a follow-up sensitivity study on r-mode gravitational wave signals from newborn neutron stars illustrating the applicability of machine learning algorithms for the detection of long-lived gravitational-wave transients. In this sensitivity study we examine three machine learning algorithms (MLAs): artificial neural networks (ANNs), support vector machines (SVMs) and constrained subspace classifiers (CSCs)... (read more)

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