2006/01/18 by Soumya D. Mohanty, S D Mohanty, Malik Rakhmanov +5 · 2 citations
Physics and Astronomy · #Cosmology and Gravitation Theories #Detector #Gravitational wave #Infinitesimal #Measure (data warehouse) #Polarization (electrochemistry) #Pulsars and Gravitational Waves Research #Space (punctuation) #Statistic #Statistical Mechanics and Entropy #Waveform #gr-qc
paper · pdf · doi:10.1088/0264-9381/23/15/001
published as Class.Quant.Grav.23:4799-4810,2006 · 13 pages, 6 figures
arxiv created 2006/01/18 · openalex publication_date 2006/07/06 · arxiv updated 2009/12/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
The detection and estimation of gravitational wave burst signals, with a priori unknown polarization waveforms, requires the use of data from a network of detectors. Maximizing the network likelihood functional over all waveforms and sky positions yields point estimates for them as well as a detection statistic. However, the transformation from the data to estimates can become ill-conditioned over parts of the sky, resulting in significant errors in estimation. We modify the likelihood procedure by introducing a penalty functional which suppresses candidate solutions that display large signal-to-noise ratio (SNR) variability as the source is displaced on the sky. Simulations show that the resulting network analysis method performs significantly better in estimating the sky position of a source. Further, this method can be applied to any network, irrespective of the number or mutual alignment of detectors.