LeoTransitEvents
- class exovetter.vetters.LeoTransitEvents(lc_name='flux', flux_err_name='flux_err', chases_rubble_frac=0.7, max_chases_phase=0.1)[source]
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
- run(tce, lightcurve, plot=False)[source]
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
Not yet 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 : 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 : med_chases : median of chases mean_chases : mean of chases max_SES : maximum of SES DMM : chases : chases statistic, range for chases metric is between 1.5 and max_chases_phase transit durations rubble : rubble statistic