Here is a brief description of the capabilities of waveformtools.

This is a python module for the handling and analysis of waveforms and data from Numerical Relativity codes, and for carrying out gravitational wave data analysis.

WAVEFORMTOOLS is a numerical relativity data handling package that was written to aid the handling and analysis of numerical relativity data.

This package contains implementations of new, and customized algorithms and techniques. Some of these contain the usage of existing python based library functions from pycbc, scipy, etc but effort has been made to keep these to a minimum.

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• Handling of numerical relativity data, and retrieving specific information about the physical system.
  
  The class container and methods "sim" can load NR data into convenient lists and dictionaries, which can be used to retrieve specific data/ information about the numerical simulation.
  
  This offers the following functionality, like retrieving:

• Horizon masses, mass-ratios, and areas.

• Horizon multipole moments.

• Retrieving the merger time/ formation time of common horizon.

• The strain waveform.

• The quasi-local data of the dynamical horizons.

• And computing/extracting the Frequency, amplitude and phase of waveforms, etc.
  

• Waveform manipulations and classes.

  • 1. A basic class container for handling numerical waveforms under the class "waveforms".
       
       This offers functionality like:

    2. Loading data from hdf5 files.

    3. Basic information such as time step, time axis, data axis, etc.

    4. Extrapolating a numerical waveform recorded at a finite radius to null infinity.

    5. Integrating and differentiating waveforms in the frequency domain.

    6. Tools for preparation/handling of numerical relativity data, like:

    7. Checking for discontinuity, removal of duplicated rows, and interpolating for missing rows in the data.

    8. Integration, differentiation of numerical data.

    9. Basic manupulations such as equalizing lengths of waveforms, tapering, etc.

    10. Resampling

    11. Computing the norm, shifting/ rolling the data, etc.

    12. Smoothing, tapering.

    13. Extrapolation of waveforms to null infinity.

    14. Center of Mass corrections to waveforms.

    15. BMS supertranslations of waveforms.

    16. Tools for basic data analysis.

    17. A match algorithms for matching two waveforms.

    18. Binning and interpolation of data.

    19. Smooth derivatives: spectral and finite difference derivatives.
        
        

• Miscellaneous tools:

  • 1. Progress bar to display progress of loops.

    2. A custom print function with message prioritization.

    3. Saving data to disk with protocol and compression support (binary, text, etc.)