code: def map_to_adjust(self, strain, prefix='recalib_', **params):
          
  
          self.params.update({
              key[len(prefix):]: params[key]
              for key in params if prefix in key and self.ifo_name in key})
  
          strain_adjusted = self.apply_calibration(strain)
  
          return strain_adjusted
docs: Map an input dictionary of sampling parameters to the
          adjust_strain function by filtering the dictionary for the
          calibration parameters, then calling adjust_strain.
  
          Parameters
          ----------
          strain : FrequencySeries
              The strain to be recalibrated.
          prefix: str
              Prefix for calibration parameter names
          params : dict
              Dictionary of sampling parameters which includes
              calibration parameters.
          Return
          ------
          strain_adjusted : FrequencySeries
              The recalibrated strain.