Timing: New Methods for Astronomical Time Series Analysis

Details Timing: New Methods for Astronomical Time Series Analysis Timing: New Methods for Astronomical Time Series Analysis

Dec 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000aas...197.2202s&link_type=abstract

American Astronomical Society, 197th AAS Meeting, #22.02; Bulletin of the American Astronomical Society, Vol. 32, p.1438

Astronomy and Astrophysics

Astronomy

Scientific paper

In astronomy as elsewhere the coming century is surely the Century of Data and Information Technology. This tutorial covers astrophysical information contained in time series data. I emphasize new methods to detect and characterize various signals in noisy data: periodicities, quasi-periodic oscillations, and aperiodic phenomena such as self-similar random or chaotic ("1/f noise") processes. New algorithms for time-domain and frequency-domain analysis will be reviewed, as will prospects for autonomous scientific discovery in time series. I am grateful to Joe Bredekamp and the NASA Applied Information Systems Research Program for encouragement and support.

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