Darwin Meets Einstein: LISA Data Analysis Using Genetic Algorithms

Details Darwin Meets Einstein: LISA Data Analysis Using Genetic Algorithms Darwin Meets Einstein: LISA Data Analysis Using Genetic Algorithms

2006-01-10

arxiv.org/abs/gr-qc/0601036v2

Phys.Rev. D73 (2006) 063011

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

8 pages, 12 figures

Scientific paper

10.1103/PhysRevD.73.063011

This work presents the first application of the method of Genetic Algorithms (GAs) to data analysis for the Laser Interferometer Space Antenna (LISA). In the low frequency regime of the LISA band there are expected to be tens of thousands galactic binary systems that will be emitting gravitational waves detectable by LISA. The challenge of parameter extraction of such a large number of sources in the LISA data stream requires a search method that can efficiently explore the large parameter spaces involved. As signals of many of these sources will overlap, a global search method is desired. GAs represent such a global search method for parameter extraction of multiple overlapping sources in the LISA data stream. We find that GAs are able to correctly extract source parameters for overlapping sources. Several optimizations of a basic GA are presented with results derived from applications of the GA searches to simulated LISA data.

Affiliated with

Also associated with

No associations

Rating

Darwin Meets Einstein: LISA Data Analysis Using Genetic Algorithms 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 Darwin Meets Einstein: LISA Data Analysis Using Genetic Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Darwin Meets Einstein: LISA Data Analysis Using Genetic Algorithms will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-214251