We present a follow-up method based on supervised machine learning (ML) to improve the performance in search of gravitational wave (GW) burts from core-collapse supernovae (CCSNe) using coherent WaveBurst (cWB) pipeline. The ML model discriminates noise signal events as features set reconstruction parameters provided by cWB. Detected are discarded yielding reduction false alarm rate (FAR) and p...

This paper proposes a novel and efficient hybrid algorithm based on combining particle swarm optimization (PSO) and gravitational search algorithm (GSA) techniques, called PSO-GSA. The core of this algorithm is to combine the ability of social thinking in PSO with the local search capability of GSA. Many practical constraints of generators, such as power loss, ramp rate limits, prohibited opera...

We present two general methods, the so-called Locust and the generalized Hough algorithm, to search for narrow-band signals of moderate frequency evolution and limited duration in datastreams of gravitational wave detectors. Some models of long gamma ray bursts (e.g. van Putten, 2004) predict narrow-band gravitational wave burst signals of limited duration emitted during the gamma ray burst eve...

In recent years, several optimization methods especially metaheuristic optimization methods have been developed by scientists. People have utilized power of nature to solve problems. Therefore, those metaheuristic methods have imitated physical and biological processes of nature. In 2007, Big Bang Big Crunch optimization algorithm based on evolution of universe and in 2009, Gravitational Search...

[8] The LIGO Collaboration, “Search for gravitational-wave bursts in LIGO data from the fourth science run”, arXiv:0704.0943 (submitted to Class Quant Grav) [7] F. Beauville et al., “Detailed comparison of LIGO and Virgo Inspiral Pipelines in Preparation for a Joint Search”, arXiv:gr-qc/0701027 (submitted to Class Quant Grav) [6] F. Beauville et al., “A comparison of methods for gravitational w...

Gravitational search algorithm (GSA) has been successfully applied to many scientific and engineering applications in the past few years. In the original GSA and most of its variants, every agent learns from all the agents stored in the same elite group, namely K best . This type of learning strategy is in nature a fully-informed learning strategy, in which every agent has exactly the same glob...