Data analysis techniques for gravitational wave observations

Details Data analysis techniques for gravitational wave observations Data analysis techniques for gravitational wave observations

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004prama..63..717d&link_type=abstract

Pramana, vol. 63, Issue 4, p.717

Computer Science

Performance

Data Analysis, Gravitational Waves, Signal Extraction.

Scientific paper

Astrophysical sources of gravitational waves fall broadly into three categories: (i) transient and bursts, (ii) periodic or continuous wave and (iii) stochastic. Each type of source requires a different type of data analysis strategy. In this talk various data analysis strategies will be reviewed. Optimal filltering is used for extracting binary inspirals; Fourier transforms over Doppler shifted time intervals are computed for long duration periodic sources; optimally weighted cross-correlations for stochastic background. Some recent schemes which efficiently search for inspirals will be described. The performance of some of these techniques on real data obtained will be discussed. Finally, some results on cancellation of systematic noises in laser interferometric space antenna (LISA) will be presented and future directions indicated.

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