CloudModel

class rubin_sim.site_models.CloudModel(cloud_column='cloud', altitude_column='altitude', azimuth_column='azimuth')

Bases: object

LSST cloud calculations for cloud extinction. Currently this actually only returns the cloud coverage of the sky, exactly as reported in the cloud database (thus the sky coverage, in fractions of 8ths).

Parameters:

XXX–update docstring

self.efd_requirements and self.map_requirements are also set.

efd_requirements is a tuple: (list of str, float).

This corresponds to the data columns required from the EFD and the amount of time history required.

target_requirements is a list of str.

This corresponds to the data columns required in the target map dictionary passed when calculating the

processed telemetry values.

Methods Summary

__call__(cloud_value, altitude)	Calculate the sky coverage due to clouds.
config_info()
configure([config])

Methods Documentation

__call__(cloud_value, altitude)

Calculate the sky coverage due to clouds.

This is where we’d plug in Peter’s cloud transparency maps and predictions. We could also try translating cloud transparency into a cloud extinction. For now, we’re simply returning the cloud coverage that we already got from the database, but multiplied over the whole sky to provide a map.

Parameters:

cloud_value: float or efdData dict

The value to give the clouds (XXX-units?).

altitude: float, np.array, or targetDict

Altitude of the output (arbitrary).

Returns:

dict of np.ndarray

Cloud transparency map values.

config_info()

configure(config=None)