A Simple Method for Detecting Periodic Signals in Sparse Astronomical Event Data

Details A Simple Method for Detecting Periodic Signals in Sparse Astronomical Event Data A Simple Method for Detecting Periodic Signals in Sparse Astronomical Event Data

May 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998apj...498..666c&link_type=abstract

Astrophysical Journal v.498, p.666

Astronomy and Astrophysics

Astronomy

Methods: Data Analysis, Methods: Statistical

Scientific paper

We present a simple method to detect periodic signals in sparse astronomical event data. The method is particularly appropriate for gamma-ray astronomy where the number of available photons is sparse in time and Poissonian noise dominates the statistics. It is based on an autocorrelation function, which provides phase independence. We have implemented and successfully applied this method on simulated data. This paper presents some numerical results and a description of the model used to generate the synthetic data along with a formal definition of the signal-to-noise ratio in the generated time series.

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