Computer Science – Performance
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...21114004t&link_type=abstract
American Astronomical Society, AAS Meeting #211, #140.04; Bulletin of the American Astronomical Society, Vol. 39, p.989
Computer Science
Performance
Scientific paper
The Laser Interferometer Space Antenna (LISA) is a space-based gravitational wave detector with peak sensitivity in the mHz band. One of the primary source classes for LISA is the gravitationally-driven inspiral and merger of supermassive black holes at high redshift. These events will be observed by LISA with large signal-to-noise ratios, allowing physical parameters of the systems to be extracted from the waveforms. The precisions with which these parameters can be extracted have an impact on LISA's ability to answer astrophysical questions. For instance, how well will LISA be able to localize the source of a supermassive black hole merger? Here we describe estimates of the parameter extraction performance using maximum likelihood methods. We include estimates which incorporate the merger portion of the gravitational waveform, which typically contributes the majority of the signal-to-noise for a given system. We also study the effects of more realistic models of the LISA instrument. Preliminary results and comparison with prior estimates will be presented.
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