The Effect of Non-stationary Noise on Drifting Signal Detection

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

We analyze the effect of non-stationary noise in the detection of drifting signals on unevenly sampled data. Initial frequency estimation is obtained from a Lomb-Scargle periodogram; which is followed by a global multi-start optimization, as working on a dense local Nelder-Mead iterator for parameter estimates. It has been found that a varying white noise level has no effect on the required relative signal-to-noise ratio for detection in the proposed algorithm, though affecting the absolute amplitude strength of the signal recording. Future work includes the addition of colored noise to this analysis. We plan to investigate how this work can be applied to gravitational wave data analysis, for example LISA or LIGO. This work is funded by NASA URC Grant NASA NNX09AV06A, ARCC grant NSF AST0750913 and CREST grant NSF HRD0734800.

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