threeML.utils.time_series package

Submodules

• threeML.utils.time_series.binned_spectrum_series module
  • BinnedSpectrumSeries
    • BinnedSpectrumSeries.binned_spectrum_set
    • BinnedSpectrumSeries.bins
    • BinnedSpectrumSeries.count_per_channel_over_interval()
    • BinnedSpectrumSeries.counts_over_interval()
    • BinnedSpectrumSeries.dead_time_over_interval()
    • BinnedSpectrumSeries.exposure_over_interval()
    • BinnedSpectrumSeries.set_active_time_intervals()
    • BinnedSpectrumSeries.view_lightcurve()
• threeML.utils.time_series.event_list module
  • EventList
    • EventList.arrival_times
    • EventList.bin_by_bayesian_blocks()
    • EventList.bin_by_constant()
    • EventList.bin_by_custom()
    • EventList.bin_by_significance()
    • EventList.bins
    • EventList.count_per_channel_over_interval()
    • EventList.counts_over_interval()
    • EventList.measurement
    • EventList.n_events
    • EventList.set_active_time_intervals()
    • EventList.view_lightcurve()
  • EventListWithDeadTime
    • EventListWithDeadTime.exposure_over_interval()
  • EventListWithDeadTimeFraction
    • EventListWithDeadTimeFraction.exposure_over_interval()
  • EventListWithLiveTime
    • EventListWithLiveTime.exposure_over_interval()
  • OverLappingIntervals
  • ReducingNumberOfSteps
  • ReducingNumberOfThreads
  • ceildiv()
• threeML.utils.time_series.polynomial module
  • Polynomial
    • Polynomial.coefficients
    • Polynomial.covariance_matrix
    • Polynomial.degree
    • Polynomial.error
    • Polynomial.from_previous_fit()
    • Polynomial.integral()
    • Polynomial.integral_error()
    • Polynomial.set_covariace_matrix()
  • polyfit()
  • unbinned_polyfit()
• threeML.utils.time_series.time_series module
  • OverLappingIntervals
  • ReducingNumberOfSteps
  • ReducingNumberOfThreads
  • TimeSeries
    • TimeSeries.bins
    • TimeSeries.bkg_intervals
    • TimeSeries.count_per_channel_over_interval()
    • TimeSeries.counts_over_interval()
    • TimeSeries.exposure_over_interval()
    • TimeSeries.fit_polynomial()
    • TimeSeries.get_information_dict()
    • TimeSeries.get_poly_info()
    • TimeSeries.get_total_poly_count()
    • TimeSeries.get_total_poly_error()
    • TimeSeries.n_channels
    • TimeSeries.poly_fit_exists
    • TimeSeries.poly_order
    • TimeSeries.polynomials
    • TimeSeries.restore_fit()
    • TimeSeries.save_background()
    • TimeSeries.set_active_time_intervals()
    • TimeSeries.set_background_interval()
    • TimeSeries.set_polynomial_fit_interval()
    • TimeSeries.time_intervals
    • TimeSeries.view_lightcurve()
  • ceildiv()

Module contents