2014 Student Research Conference:
27th Annual Student Research Conference

Signal Detection in Synthetic LIGO Gravitational Wave Data
Eric R. Belshoff
Dr. Eduardo Velasco, Faculty Mentor

The effectiveness of Wiener filtering was tested with synthetic data meant to simulate the types of noises and signals that may be similar to a simplified version of the LIGO gravitational wave detection program. Python programs were written which included a model noise function and a model Newtonian Chirp signal function. A cross-correlation analysis was performed on the synthetic data to determine under what circumstances the signal was detected through the noise. Applying a Wiener filter to the data increased the likelihood of finding the signal. The Fast Fourier Transform algorithm was also very helpful in reducing the computation time of the analysis. A probabilistic and statistical analysis was done to quantitatively determine how likely it was the detected signal was not part of the noise.

Keywords: physics, statistics, LIGO, signal, noise, filter, wave, fourier


Presentation Type: Oral Paper

Session: 401-1
Location: MG 1096
Time: 2:30

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