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| This visualization is based on the data processed at a tutorial using pycbc, a python library used for signal processing of gravitational wave data. The signal above is the data from the gravitational wave GW150914 detected at the Hanford detector. Band pass filtering is done to remove harmonics from AC sources etc. A technique called matched filtering is employed to detect the gravitational waves. |
| Matched filtering is similar to auto correlation and involves sliding the signal that one is looking for. The signal we are looking for is due collision of two blackholes of around 36 solar masses. |
| Using this technique, we can get the signal to noise ratio (SNR) which can help us locate the signal in the data. |
| The Wave template was generated using the pycbc module which uses ‘SEOBNRv4_opt’ model. The generated wave from is then passed through the same band pass filter. |