autowisp.light_curves.reconstructive_correction_transit module
Class Inheritance Diagram
Definet class performing reconstructive detrending on LCs with transits.
- class autowisp.light_curves.reconstructive_correction_transit.ReconstructiveCorrectionTransit(transit_model, correction, fit_amplitude=True, transit_parameters=None)[source]
Bases:
object
Class for corrections that protect known or suspected transit signals.
- transit_model
See same name argument to __init__()
- fit_amplitude
See same name argument to __init__()
- transit_parameters
The positional and keyword arguments to pass to the transit model’s evaluate() method.
- Type:
2-tuple
- __call__(lc_fname, *transit_parameters_pos, save=True, **transit_parameters_kw)[source]
Perform reconstructive EPD on a light curve, given transit parameters.
- Parameters:
lc_fname (str) – The filename of the lightcurve to fit.
save (bool) – See same name orgument to EPDCorrection.__call__().
transit_parameters_pos – Positional arguments to be passed to the transit model’s evaluate() method.
transit_parameters_kw – Keyword arguments to be passed to the transit model’s evaluate() method.
- Returns:
See EPDCorrection.__call__()
- __init__(transit_model, correction, fit_amplitude=True, transit_parameters=None)[source]
Configure the fitting.
- Parameters:
transit_model – If not None, this should be one of the models implemented in pytransit.
correction (Correction) – An instance of one of the correction classes.
fit_amplitude (bool) – Should the amplitude of the model be fit along with the EPD correction coefficients? If not, the amplitude of the signal is assumed known.
transit_parameters (2-tiple) – Positional and keyword arguments to pass to the transit model. Overwritten by __call__. The first entry should be iterable and specifies positional arguments, the second entry is dict and specifies keyword arguments.
- Returns:
None