Computer Science – Performance
Scientific paper
Nov 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001spie.4477..123g&link_type=abstract
Proc. SPIE Vol. 4477, p. 123-130, Astronomical Data Analysis, Jean-Luc Starck; Fionn D. Murtagh; Eds.
Computer Science
Performance
1
Scientific paper
We study time series of the X-ray intensity of the binary XTE-J1550-564 with the goal of estimating its instantaneous power spectrum. We develop a method that, from the initial sequence of photon arrival times, is able to estimate the time-frequency spectrum in conjunction with noise reduction techniques. This method clearly highlights the presence of a quasi-periodic oscillation (QPO), a spectral component the frequency of which changes in time. Furthermore, the QPO is extracted by using signal processing methods in the time-frequency plane. The method is also validated using a synthetic signal to show the quality and reliability of its performance.
Cohen Leon
Galleani Lorenzo
Nelson Douglas J.
Scargle Jeffrey D.
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