def get_max_dead_norm_signal_default(instrument, detector, normalization_method):
    """
    Finds the default max_dead_norm_signal value to use for the
    absolute_rate dead pixel search type.

    Parameters
    ----------
    instrument : str
        The name of the instrument

    detector : str
        The name of the detector

    normalization_method : str
        Specify how the mean image is normalized prior to searching for
        bad pixels. Options are:
        'smoothed': Mean image will be smoothed using a
                    ``smoothing_box_width`` x ``smoothing_box_width``
                    box kernel. The mean image is then normalized by
                    this smoothed image.
        'none': No normalization is done. Mean slope image is used as is
        'mean': Mean image is normalized by its sigma-clipped mean

    Returns
    -------
    default_value : float
        The default max_dead_norm_signal value
    """
    if (instrument == 'NIRCAM') & (normalization_method == 'none'):
        detectors = ['NRCA1', 'NRCA2', 'NRCA3', 'NRCA4', 'NRCALONG',
                     'NRCB1', 'NRCB2', 'NRCB3', 'NRCB4', 'NRCBLONG']
        defaults = [25.0, 25.0, 30.0, 30.0, 40.0,
                    25.0, 25.0, 25.0, 25.0, 50.0]
        default_value = defaults[detectors == detector]
    else:
        default_value = 0.05

    return default_value