def METHOD_NAME(self, dataset):
    """Run the sensitivity estimation
    Parameters
    ----------
    dataset : `SpectrumDatasetOnOff`
        Dataset to compute sensitivity for.
    Returns
    -------
    sensitivity : `~astropy.table.Table`
        Sensitivity table
    """
    energy = dataset._geom.axes["energy"].center
    excess = self.estimate_min_excess(dataset)
    e2dnde = self.estimate_min_e2dnde(excess, dataset)
    criterion = self._get_criterion(
        excess.data.squeeze(), dataset.background.data.squeeze()
    )
    logging.warning(
        "Table column name energy will be deprecated by e_ref since v1.2"
    )
    return Table(
        [
            Column(
                data=energy,
                name="energy",
                format="5g",
                description="Reconstructed Energy",
            ),
            Column(
                data=energy,
                name="e_ref",
                format="5g",
                description="Energy center",
            ),
            Column(
                data=dataset._geom.axes["energy"].edges_min,
                name="e_min",
                format="5g",
                description="Energy edge low",
            ),
            Column(
                data=dataset._geom.axes["energy"].edges_max,
                name="e_max",
                format="5g",
                description="Energy edge high",
            ),
            Column(
                data=e2dnde,
                name="e2dnde",
                format="5g",
                description="Energy squared times differential flux",
            ),
            Column(
                data=np.atleast_1d(excess.data.squeeze()),
                name="excess",
                format="5g",
                description="Number of excess counts in the bin",
            ),
            Column(
                data=np.atleast_1d(dataset.background.data.squeeze()),
                name="background",
                format="5g",
                description="Number of background counts in the bin",
            ),
            Column(
                data=np.atleast_1d(criterion),
                name="criterion",
                description="Sensitivity-limiting criterion",
            ),
        ]
    )