def fcn(self, data_in):
"""
Returns a shifted version of the input spectrum to mimic the effect
of calibration. (Real calibration doesn't shift the spectrum, but
rather the independent variable)
"""
orig_wn = _calib_pix_wn(self.parameters['orig_calib_dict'])[0]
new_wn = _calib_pix_wn(self.parameters['new_calib_dict'])[0]
if data_in.ndim == 1:
spl = _UnivariateSpline(new_wn, data_in, s=0, ext=0)
output = spl(orig_wn)
elif data_in.ndim == 2:
output = _np.zeros(data_in.shape)
for num, spect in enumerate(data_in):
spl = _UnivariateSpline(new_wn, spect, s=0, ext=0)
output[num,:] = spl(orig_wn)
return output
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