def METHOD_NAME(excitation, tag):
    """This function implements a scale-and-center type of normalization
    that may help predictions currently testing for splitting and slope only
    """
    centers = csv_loader(tag+"_center.csv")
    shifts = csv_loader(tag+"_scale.csv")
    descriptor_centers = np.array(centers[1:])
    descriptor_shifts = np.array(shifts[1:])
    sp_center = centers[0]
    sp_shift = shifts[0]
    excitation = np.array(excitation)
    excitation = (excitation - descriptor_centers)
    excitation = np.divide(excitation, descriptor_shifts)
    return(excitation, sp_center, sp_shift)