autolens/data/ccd.py
def generate_poisson_noise(image, exposure_time_map, seed=-1):
    """
    Generate a two-dimensional poisson noise_maps-mappers from an image.

    Values are computed from a Poisson distribution using the image's input values in units of counts.

    Parameters
    ----------
    image : ndarray
        The 2D image, whose values in counts are used to draw Poisson noise_maps values.
    exposure_time_map : Union(ndarray, int)
        2D array of the exposure time in each pixel used to convert to / from counts and electrons per second.
    seed : int
        The seed of the random number generator, used for the random noise_maps maps.

    Returns
    -------
    poisson_noise_map: ndarray
        An array describing simulated poisson noise_maps
    """
    setup_random_seed(seed)
    image_counts = np.multiply(image, exposure_time_map)
    return image - np.divide(np.random.poisson(image_counts, image.shape), exposure_time_map)
def generate_poisson_noise(image, exposure_time_map, seed=-1):
    """
    Generate a two-dimensional poisson noise_maps-mappers from an image.

    Values are computed from a Poisson distribution using the image's input values in units of counts.

    Parameters
    ----------
    image : ndarray
        The 2D image, whose values in counts are used to draw Poisson noise_maps values.
    exposure_time_map : Union(ndarray, int)
        2D array of the exposure time in each pixel used to convert to / from counts and electrons per second.
    seed : int
        The seed of the random number generator, used for the random noise_maps maps.

    Returns
    -------
    poisson_noise_map: ndarray
        An array describing simulated poisson noise_maps
    """
    setup_random_seed(seed)
    image_counts = np.multiply(image, exposure_time_map)
    return image - np.divide(np.random.poisson(image_counts, image.shape), exposure_time_map)
Generate a two-dimensional poisson noise_maps-mappers from an image.

    Values are computed from a Poisson distribution using the image's input values in units of counts.

    Parameters
    ----------
    image : ndarray
        The 2D image, whose values in counts are used to draw Poisson noise_maps values.
    exposure_time_map : Union(ndarray, int)
        2D array of the exposure time in each pixel used to convert to / from counts and electrons per second.
    seed : int
        The seed of the random number generator, used for the random noise_maps maps.

    Returns
    -------
    poisson_noise_map: ndarray
        An array describing simulated poisson noise_maps