Astronomy and Astrophysics – Astrophysics – General Relativity and Quantum Cosmology
Scientific paper
2005-08-17
Phys.Rev.D72:122002,2005
Astronomy and Astrophysics
Astrophysics
General Relativity and Quantum Cosmology
13 pages, 6 figures
Scientific paper
10.1103/PhysRevD.72.122002
We propose a coherent method for the detection and reconstruction of gravitational wave signals for a network of interferometric detectors. The method is derived using the likelihood functional for unknown signal waveforms. In the standard approach, the global maximum of the likelihood over the space of waveforms is used as the detection statistic. We identify a problem with this approach. In the case of an aligned pair of detectors, the detection statistic depends on the cross-correlation between the detectors as expected, but this dependence dissappears even for infinitesimally small misalignments. We solve the problem by applying constraints on thelikelihood functional and obtain a new class of statistics. The resulting method can be applied to the data from a network consisting of any number of detectors with arbitrary detector orientations. The method allows us reconstruction of the source coordinates and the waveforms of two polarization components of a gravitational wave. We study the performance of the method with numerical simulation and find the reconstruction of the source coordinates to be more accurate than in the standard approach.
Klimenko Sergei
Mitselmakher Guenakh
Mohanty Soumya
Rakhmanov Malik
Парфенов Г. П.
No associations
LandOfFree
Constraint Likelihood analysis for a network of gravitational wave detectors does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Constraint Likelihood analysis for a network of gravitational wave detectors, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Constraint Likelihood analysis for a network of gravitational wave detectors will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-138703