Searching the LISA Data Stream with Time-Frequency Techniques

Details Searching the LISA Data Stream with Time-Frequency Techniques Searching the LISA Data Stream with Time-Frequency Techniques

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21548209m&link_type=abstract

American Astronomical Society, AAS Meeting #215, #482.09; Bulletin of the American Astronomical Society, Vol. 42, p.574

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Scientific paper

The Laser Interferometer Space Antenna (LISA) is expected to detect between a few and a few hundred gravitational-wave signals from extreme-mass-ratio inspirals (EMRIs) of stellar-mass compact objects into massive black holes. Time-frequency techniques can be used to analyze LISA data and estimate the parameters of detected signals. We recently improved our Chirp-based Algorithm for Track Search (CATS), which allows us to identify low-SNR tracks in time-frequency spectrograms. We report on the resolving power of CATS and its application to EMRI searches and parameter estimation. We also comment on the power of CATS to search for a wide range of other sources, both modeled (e.g., cosmic strings, as demonstrated in Mock LISA Data Challenge 3) and unmodeled.

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