Matched-Filtering on gravitational wave dataset

This project uses matched-filtering for an idealized detection of gravitational waves emitted during the inspiral and merger of compact binary objects. The used data are synthetica nd were given as part of a university course.

Files

• AllWithNoise.dat: Data file with the noise
• template.ipynb: Jupyter notebook explaining the template creating and matched-filtering algorithm
• matched-filtering.py: Python script with the matched-filtering algorithm
• meta-analysis.ipynb: Jupyter notebook with the analysis of the data
• results.pdf: PDF file with the results of the analysis

Usage

Run the matched-filtering.py script to generate the results. The script will generate a results folder with the results of the analysis. The meta-analysis.ipynb notebook can be used to analyze the results.

Result plots

Strain 1:

raw data

S/N - time

Mass - $\phi_c$ contour plot showing the S/N

raw data overlaid with the detected wave

Strain 2:

raw data

S/N - time

Mass - $\phi_c$ contour plot showing the S/N

raw data overlaid with the detected wave

Strain 3:

raw data

S/N - time

Mass - $\phi_c$ contour plot showing the S/N

No wave can be detected in this strain.