LeoTransitEvents

class exovetter.vetters.LeoTransitEvents(lc_name='flux', flux_err_name='flux_err', chases_rubble_frac=0.7, max_chases_phase=0.1)

Bases: BaseVetter

Exovetter implementation of the individual transit events vetter in the LEO package: https://github.com/mkunimoto/LEO-vetter

Parameters:

lc_namestr

Name of the flux array in the lightkurve object.

flux_err_namestr

Name of the flux error array in the lightkurve object. Defaults to ‘flux_err’

chases_rubble_fracfloat

fraction of SES for a transit which triggers the chases false alarm statistic. Defaults to 0.7

max_chases_phasefloat

Maximum to allow the chases search to run on. Default 0.1

Attributes:

tcetce object

tce object is a dictionary that contains information about the tce to vet, like period, epoch, duration, depth.

metricsdict

LeoTransitEvents result dictionary populated by run().

Methods Summary

plot()	Generate a diagnostic plot.
run(tce, lightcurve[, plot])	Runs leo.ses_mes and leo.chases_rubble to populate the vetter object.

Methods Documentation

plot()

Generate a diagnostic plot.

Parameters:

tce, lightcurve

See run().

run(tce, lightcurve, plot=False)

Runs leo.ses_mes and leo.chases_rubble to populate the vetter object.

Parameters:

tcetce object

tce object is a dictionary that contains information about the tce to vet, like period, epoch, duration, depth.

lightcurvelightkurve object

lightkurve object with the time and flux of the data to use for vetting.

plot: bool

No plots implemented

Returns:

metricsdict

leo transit events result dictionary containing the following:

sig_w : White noise following Hartman & Bakos (2016) sig_r : Red noise following Hartman & Bakos (2016) err : Signal-to-pink-noise following Pont et al. (2006) SES_series : Single Event Statistic series for every timestamp dep_series : box-model transit depths err_series : Error of MES MES_series : dep_series/err_series MES : Multiple Event Statistic calculated from mean depth of in transit points SHP : MES shape metric CHI : CHI metric med_chases : median of chases mean_chases : mean of chases max_SES : maximum of SES DMM : depth mean-to-median ratio chases : chases statistic, range for chases metric is between 1.5 and max_chases_phase transit durations rubble : rubble statistic