def METHOD_NAME(psd_name, length, delta_t, seed=None, low_frequency_cutoff=10.0):
    """ Create noise from an analytic PSD
    Return noise from the chosen PSD. Note that if unique noise is desired
    a unique seed should be provided.
    Parameters
    ----------
    psd_name : str
        Name of the analytic PSD to use.
    low_fr
    length : int
        The length of noise to generate in samples.
    delta_t : float
        The time step of the noise.
    seed : {None, int}
        The seed to generate the noise.
    low_frequency_cutof : {10.0, float}
        The low frequency cutoff to pass to the PSD generation.
    Returns
    --------
    noise : TimeSeries
        A TimeSeries containing gaussian noise colored by the given psd.
    """
    import pycbc.psd
    # We just need enough resolution to resolve lines
    delta_f = 1.0 / 8
    flen = int(.5 / delta_t / delta_f) + 1
    psd = pycbc.psd.from_string(psd_name, flen, delta_f, low_frequency_cutoff)
    return noise_from_psd(int(length), delta_t, psd, seed=seed)