ramjet.analysis.transit_fitter¶

Classes¶

class TransitFitter(tic_id, sectors=None)[source]¶

A class to fit a transit.

__init__(self, tic_id, sectors=None)[source]¶

Initialize self. See help(type(self)) for accurate signature.

bokeh_application(self, bokeh_document)[source]¶

create_light_curve_figure(self)[source]¶

create_folded_figured_based_on_clicks_in_unfolded_figure(self, unfolded_figure)[source]¶

create_mcmc_fit_figures(self, run_fitting_button)[source]¶

static plot_light_curve_source(figure: Figure, data_source: ColumnDataSource, time_column_name: str = 'Time (BTJD)', flux_column_name: str = 'Relative flux', color_value_column_name: str = 'Time (BTJD)')[source]¶

Plots the light curve data source on the passed figure.

Parameters:	figure – The figure to plot to. data_source – The data source containing the light curve data. time_column_name – The name of the time column whose values will be used on the x axis. flux_column_name – The name of the flux column whose values will be used on the y axis. color_value_column_name – The name of the column whose values will be used to determine data point color.

stitch_fluxes_flux_errors_and_times_for_target_from_mast(self, tic_id: int, sectors: Union[int, List[int], None] = None)[source]¶

Downloads light curves from MAST for a given TIC ID and stitches them together.

Parameters:	tic_id – The target TIC ID. sectors – The sectors to download and stitch together. Defaults to None which will download all available.
Returns:	The fluxes, flux errors, and times of the stitched light curves.

static calculate_epoch_and_period_from_approximate_event_times(event_times: List[float])[source]¶

Calculates the period and epoch of a signal given selected event times. The epoch is set to the first event chronologically.

Parameters:	event_times – The times of the events.
Returns:	The epoch and period.

static fold_times(times: np.ndarray, epoch: float, period: float)[source]¶

Folds an array of times based on an epoch and period.

Parameters:	times – The times to fold. epoch – The epoch of the fold. period – The period of the fold.
Returns:	The folded times.

static round_series_to_significant_figures(series: pd.Series, significant_figures: int)[source]¶

Rounds a series to a given number of significant figures.

Parameters:	series – The series to round. significant_figures – The number of signficant figures to round to.
Returns:	The rounded series.

server¶