docs: def resample_waveforms(Y_dict):
      """
          INPUT: - Dictionary of waveforms loaded from text file
                 - ALSO, Dictionary of timeseries indexed by name 
  
          OUTPUT:
                 - Y_dict: resampled, normalized waveforms, ready for FFT
                      - new parameters:
                          + fs = 4096
                          + time duration: 1 second
                 - metadata: dictionary of sampling information
  
      """
      # right now, Y_dict, using my ccsnmultivar github waveform sets
      for key in Y_dict.keys():
          Y_dict[key] = signal.decimate(Y_dict[key], 4, ftype='fir')
      metadata = {}
      metadata["fs"] = 4096. # in Hz
      metadata["T"] = 1. # in seconds
      metadata["source distance"] = 10. # in kpc
      return Y_dict, metadata