Tests

A mock light curve is generated using the damped random walk model and then can be passed to PyCALI. PyCALI provides a function to generate mock light curves

pycali.generate_mock_data()

This will generate mock continnum and emission-line light curves (sim_cont.txt and sim_line.txt) and place them to the directory ./data. An example Python script example_mock.py in the source code are provided to do tests with mock data.

The obtained estimates for scale factors, shift factors, and systematic errors are shown below, which are generally consistent with the input values.

A mock light curve with five datasets and the intercalibration.

The obtained posterior distributions of the systematic error factors. Blue lines represent the input values.