def noise_from_psd(length, delta_t, psd, seed=None):
    """ Create noise with a given psd.

    Return noise with a given psd. Note that if unique noise is desired
    a unique seed should be provided.

    Parameters
    ----------
    length : int
        The length of noise to generate in samples.
    delta_t : float
        The time step of the noise.
    psd : FrequencySeries
        The noise weighting to color the noise.
    seed : {0, int}
        The seed to generate the noise.

    Returns
    --------
    noise : TimeSeries
        A TimeSeries containing gaussian noise colored by the given psd.
    """
    noise_ts = TimeSeries(zeros(length), delta_t=delta_t)

    if seed is None:
        seed = numpy.random.randint(2**32)

    randomness = lal.gsl_rng("ranlux", seed)

    N = int (1.0 / delta_t / psd.delta_f)
    n = N//2+1
    stride = N//2

    if n > len(psd):
        raise ValueError("PSD not compatible with requested delta_t")

    psd = (psd[0:n]).lal()
    psd.data.data[n-1] = 0

    segment = TimeSeries(zeros(N), delta_t=delta_t).lal()
    length_generated = 0

    SimNoise(segment, 0, psd, randomness)
    while (length_generated < length):
        if (length_generated + stride) < length:
            noise_ts.data[length_generated:length_generated+stride] = segment.data.data[0:stride]
        else:
            noise_ts.data[length_generated:length] = segment.data.data[0:length-length_generated]

        length_generated += stride
        SimNoise(segment, stride, psd, randomness)

    return noise_ts
Create noise with a given psd.

    Return noise with a given psd. Note that if unique noise is desired
    a unique seed should be provided.

    Parameters
    ----------
    length : int
        The length of noise to generate in samples.
    delta_t : float
        The time step of the noise.
    psd : FrequencySeries
        The noise weighting to color the noise.
    seed : {0, int}
        The seed to generate the noise.

    Returns
    --------
    noise : TimeSeries
        A TimeSeries containing gaussian noise colored by the given psd.