punchbowl.level1.initial_uncertainty#

Functions#

`dn_to_photons`(→ numpy.ndarray)	Convert an input array from DN to photon count.
`compute_noise`(→ tuple[numpy.ndarray, numpy.ndarray])	Generate noise based on an input data array, with specified noise parameters.
`compute_uncertainty`(→ numpy.ndarray)	With an input data array compute a corresponding uncertainty array.
`flag_saturated_pixels`(→ ndcube.NDCube)	Flag saturated pixels in the uncertainty layer.
`update_initial_uncertainty_task`(→ ndcube.NDCube)	Prefect task to compute initial uncertainty.

Module Contents#

punchbowl.level1.initial_uncertainty.dn_to_photons(data_array: numpy.ndarray, gain_bottom: float = 4.9, gain_top: float = 4.9) → numpy.ndarray[source]#: Convert an input array from DN to photon count.

punchbowl.level1.initial_uncertainty.compute_noise(data: numpy.ndarray, bias_level: float = 100, dark_level: float = 55.81, gain_bottom: float = 4.9, gain_top: float = 4.9, read_noise_level: float = 17, bitrate_signal: int = 16) → tuple[numpy.ndarray, numpy.ndarray][source]#

Generate noise based on an input data array, with specified noise parameters.

Parameters:

data – input data array (n x n)
bias_level – ccd bias level
dark_level – ccd dark level
gain_bottom – ccd gain (bottom side of CCD)
gain_top – ccd gain (top side of CCD)
read_noise_level – ccd read noise level
bitrate_signal – desired ccd data bit level

Returns:

data (np.ndarray) – clipped data with the bias level added
noise (np.ndarray) – computed noise array corresponding to input data and ccd/noise parameters

punchbowl.level1.initial_uncertainty.compute_uncertainty(data_array: numpy.ndarray, dark_level: float = 55.81, gain_bottom: float = 4.9, gain_top: float = 4.9, read_noise_level: float = 17) → numpy.ndarray[source]#: With an input data array compute a corresponding uncertainty array.

punchbowl.level1.initial_uncertainty.flag_saturated_pixels(data_object: ndcube.NDCube, saturated_pixels: numpy.ndarray) → ndcube.NDCube[source]#: Flag saturated pixels in the uncertainty layer.

punchbowl.level1.initial_uncertainty.update_initial_uncertainty_task(data_object: ndcube.NDCube, dark_level: float = 55.81, gain_bottom: float = 4.9, gain_top: float = 4.9, read_noise_level: float = 17, bitrate_signal: int = 16, saturated_pixels: numpy.ndarray | None = None) → ndcube.NDCube[source]#: Prefect task to compute initial uncertainty.