code: def add_noise_curve(self, name, noise_type='ASD', is_wd_background=False):
          
          if is_wd_background:
              self.sensitivity_input.wd_noise = name
              self.sensitivity_input.wd_noise_type_in = noise_type
  
          else:
              if 'sensitivity_curves' not in self.sensitivity_input.__dict__:
                  self.sensitivity_input.sensitivity_curves = []
              if 'noise_type_in' not in self.sensitivity_input.__dict__:
                  self.sensitivity_input.noise_type_in = []
  
              self.sensitivity_input.sensitivity_curves.append(name)
              self.sensitivity_input.noise_type_in.append(noise_type)
          return
docs: Add a noise curve for generation.
  
          This will add a noise curve for an SNR calculation by appending to the sensitivity_curves
          list within the sensitivity_input dictionary.
  
          The name of the noise curve prior to the file extension will appear as its
          label in the final output dataset. Therefore, it is recommended prior to
          running the generator that file names are renamed to simple names
          for later reference.
  
          Args:
              name (str): Name of noise curve including file extension inside input_folder.
              noise_type (str, optional): Type of noise. Choices are `ASD`, `PSD`, or `char_strain`.
                  Default is ASD.
              is_wd_background (bool, optional): If True, this sensitivity is used as the white dwarf
                  background noise. Default is False.