Index

Symbols

\hat{R}

_

_WAVELENGTH_COLUMN_NAMES (pgmuvi.lightcurve.InputHelpers attribute) _WAVELENGTH_ID_COLUMN_NAMES (pgmuvi.lightcurve.InputHelpers attribute)

_X_COLUMN_NAMES (pgmuvi.lightcurve.InputHelpers attribute) _Y_COLUMN_NAMES (pgmuvi.lightcurve.InputHelpers attribute) _YERR_COLUMN_NAMES (pgmuvi.lightcurve.InputHelpers attribute)

A

acf (pgmuvi.lightcurve.ACFResult attribute), [1] acf() (pgmuvi.lightcurve.Lightcurve method) ACFResult (class in pgmuvi.lightcurve) AchromaticGPModel (class in pgmuvi.gps) append_data() (pgmuvi.lightcurve.Lightcurve method) ARD area_fraction (pgmuvi.lightcurve.PeriodPeakResult attribute)

as_dict() (pgmuvi.lightcurve.ComponentDiagnosticsResult method) (pgmuvi.lightcurve.PeriodPeakResult method) (pgmuvi.lightcurve.PeriodSummaryResult method) assess_sampling_quality() (in module pgmuvi.preprocess.quality) (pgmuvi.lightcurve.Lightcurve method) assess_sampling_quality_per_band() (pgmuvi.lightcurve.Lightcurve method) auto_select_model() (pgmuvi.lightcurve.Lightcurve method) autofrequency() (pgmuvi.multiband_ls_significance.MultibandLSWithSignificance method)

B

band (pgmuvi.lightcurve.ACFResult attribute), [1] (pgmuvi.lightcurve.Lightcurve attribute)

Bayesian inference BIC

C

check_variability() (pgmuvi.lightcurve.Lightcurve method) check_variability_per_band() (pgmuvi.lightcurve.Lightcurve method) Cholesky decomposition Coherence time coherence_proxy (pgmuvi.lightcurve.PeriodPeakResult attribute) component_frequencies (pgmuvi.lightcurve.ComponentDiagnosticsResult attribute) component_frequency_scales (pgmuvi.lightcurve.ComponentDiagnosticsResult attribute) component_labels (pgmuvi.lightcurve.ComponentDiagnosticsResult attribute) component_period_scales (pgmuvi.lightcurve.ComponentDiagnosticsResult attribute) component_periods (pgmuvi.lightcurve.ComponentDiagnosticsResult attribute) component_weights (pgmuvi.lightcurve.ComponentDiagnosticsResult attribute) ComponentDiagnosticsResult (class in pgmuvi.lightcurve) compute_fvar() (in module pgmuvi.preprocess) (in module pgmuvi.preprocess.variability)

compute_psd() (pgmuvi.lightcurve.Lightcurve method) compute_sampling_metrics() (in module pgmuvi.preprocess.quality) (pgmuvi.lightcurve.Lightcurve method) compute_sampling_metrics_per_band() (pgmuvi.lightcurve.Lightcurve method) compute_stetson_k() (in module pgmuvi.preprocess) (in module pgmuvi.preprocess.variability) concat() (pgmuvi.lightcurve.Lightcurve class method) Constraint counts (pgmuvi.lightcurve.ACFResult attribute), [1] Covariance function cpu() (pgmuvi.lightcurve.Lightcurve method) cuda() (pgmuvi.lightcurve.Lightcurve method) CustomLinearConstantMean (class in pgmuvi.gps) CustomQuadConstantMean (class in pgmuvi.gps)

D

dict_walk_generator() (in module pgmuvi.lightcurve) drop_bands() (pgmuvi.lightcurve.Lightcurve method)

DustMean (class in pgmuvi.gps) DustMeanGPModel (class in pgmuvi.gps)

E

Excess variance

exponent (pgmuvi.gps.PowerLawMean attribute)

F

F_var False alarm probability false_alarm_probability() (pgmuvi.multiband_ls_significance.MultibandLSWithSignificance method) FAP filter_variable_bands() (pgmuvi.lightcurve.Lightcurve method) filter_well_sampled_bands() (pgmuvi.lightcurve.Lightcurve method) fit() (pgmuvi.lightcurve.Lightcurve method) fit_LS() (pgmuvi.lightcurve.Lightcurve method) forward() (pgmuvi.gps.CustomLinearConstantMean method) (pgmuvi.gps.CustomQuadConstantMean method) (pgmuvi.gps.DustMean method) (pgmuvi.gps.LinearMeanQuasiPeriodicGPModel method) (pgmuvi.gps.MaternGPModel method) (pgmuvi.gps.PeriodicPlusStochasticGPModel method) (pgmuvi.gps.PowerLawMean method) (pgmuvi.gps.QuasiPeriodicGPModel method) (pgmuvi.gps.SeparableGPModel method) (pgmuvi.gps.SparseSpectralMixtureGPModel method) (pgmuvi.gps.SpectralMixtureGPModel method) (pgmuvi.gps.SpectralMixtureKISSGPModel method) (pgmuvi.gps.SpectralMixtureLinearMeanGPModel method) (pgmuvi.gps.SpectralMixtureLinearMeanKISSGPModel method) (pgmuvi.gps.TwoDSpectralMixtureDustMeanGPModel method) (pgmuvi.gps.TwoDSpectralMixtureDustMeanKISSGPModel method) (pgmuvi.gps.TwoDSpectralMixtureGPModel method) (pgmuvi.gps.TwoDSpectralMixtureKISSGPModel method) (pgmuvi.gps.TwoDSpectralMixtureLinearMeanGPModel method) (pgmuvi.gps.TwoDSpectralMixtureLinearMeanKISSGPModel method) (pgmuvi.gps.TwoDSpectralMixturePowerLawMeanGPModel method) (pgmuvi.gps.TwoDSpectralMixturePowerLawMeanKISSGPModel method)

frequency (pgmuvi.lightcurve.PeriodPeakResult attribute) from_csv() (pgmuvi.lightcurve.InputHelpers class method) from_table() (pgmuvi.lightcurve.Lightcurve class method)

G

Gaussian process get() (pgmuvi.lightcurve.PeriodSummaryResult method) get_constraint_set() (in module pgmuvi.constraints) get_constraints() (pgmuvi.lightcurve.Lightcurve method) get_parameters() (pgmuvi.lightcurve.Lightcurve method) get_period_prior() (pgmuvi.lightcurve.Lightcurve method) get_period_summary() (pgmuvi.lightcurve.Lightcurve method)

get_periods() (pgmuvi.lightcurve.Lightcurve method) get_primary_peak() (pgmuvi.lightcurve.PeriodSummaryResult method) get_prior_set() (in module pgmuvi.priors) get_priors() (pgmuvi.lightcurve.Lightcurve method) get_significant_peaks() (pgmuvi.lightcurve.PeriodSummaryResult method) get_top_n_peaks() (pgmuvi.lightcurve.PeriodSummaryResult method) GP GPyTorch

H

height (pgmuvi.lightcurve.PeriodPeakResult attribute)

Hyperparameter

I

init_hypers_from_LombScargle() (pgmuvi.lightcurve.Lightcurve method) initialize_from_physics() (in module pgmuvi.initialization) initialize_quasi_periodic_from_data() (in module pgmuvi.initialization) initialize_separable_from_data() (in module pgmuvi.initialization) InputHelpers (class in pgmuvi.lightcurve) interval_frequency (pgmuvi.lightcurve.PeriodPeakResult attribute) interval_period (pgmuvi.lightcurve.PeriodPeakResult attribute)

inverse() (pgmuvi.lightcurve.MinMax method) (pgmuvi.lightcurve.RobustZScore method) (pgmuvi.lightcurve.Transformer method) (pgmuvi.lightcurve.ZScore method) is_candidate_lsp (pgmuvi.lightcurve.PeriodPeakResult attribute) is_variable() (in module pgmuvi.preprocess) (in module pgmuvi.preprocess.variability) items() (pgmuvi.lightcurve.PeriodSummaryResult method)

K

Kernel function

kernel_family (pgmuvi.lightcurve.ComponentDiagnosticsResult attribute) keys() (pgmuvi.lightcurve.PeriodSummaryResult method)

L

lag (pgmuvi.lightcurve.ACFResult attribute), [1] lengthscale_constraint() (in module pgmuvi.constraints) Lightcurve (class in pgmuvi.lightcurve) LinearMeanQuasiPeriodicGPModel (class in pgmuvi.gps) log_alpha (pgmuvi.gps.DustMean attribute) log_amplitude (pgmuvi.gps.DustMean attribute) log_prob() (pgmuvi.priors.LogNormalFrequencyPrior method) (pgmuvi.priors.LogNormalPeriodPrior method) (pgmuvi.priors.NormalFrequencyPrior method) (pgmuvi.priors.NormalPeriodPrior method)

log_tau (pgmuvi.gps.DustMean attribute) LogNormalFrequencyPrior (class in pgmuvi.priors) LogNormalPeriodPrior (class in pgmuvi.priors) Lomb–Scargle periodogram

M

magnitudes (pgmuvi.lightcurve.Lightcurve property) make_chromatic_sinusoid_2d() (in module pgmuvi.synthetic) make_matern_kernel() (in module pgmuvi.kernels) make_multi_sinusoid_1d() (in module pgmuvi.synthetic) make_multi_sinusoid_chromatic_2d() (in module pgmuvi.synthetic) make_quasi_periodic_kernel() (in module pgmuvi.kernels) make_rbf_kernel() (in module pgmuvi.kernels) make_simple_sinusoid_1d() (in module pgmuvi.synthetic) MAP estimation Markov chain Monte Carlo MaternGPModel (class in pgmuvi.gps) Maximum a posteriori estimation MCMC mcmc() (pgmuvi.lightcurve.Lightcurve method) merge() (pgmuvi.lightcurve.Lightcurve method) method (pgmuvi.lightcurve.ACFResult attribute), [1] MinMax (class in pgmuvi.lightcurve)

minmax() (in module pgmuvi.lightcurve) Mixture component module pgmuvi pgmuvi.constraints pgmuvi.gps pgmuvi.initialization pgmuvi.kernels pgmuvi.lightcurve pgmuvi.multiband_ls_significance pgmuvi.preprocess pgmuvi.preprocess.quality pgmuvi.preprocess.variability pgmuvi.priors pgmuvi.synthetic pgmuvi.trainers MultibandLSWithSignificance (class in pgmuvi.multiband_ls_significance)

N

n_components (pgmuvi.lightcurve.ComponentDiagnosticsResult attribute) ndim (pgmuvi.lightcurve.Lightcurve property) NormalFrequencyPrior (class in pgmuvi.priors) normalized (pgmuvi.lightcurve.ACFResult attribute), [1]

NormalPeriodPrior (class in pgmuvi.priors) notes (pgmuvi.lightcurve.ComponentDiagnosticsResult attribute) (pgmuvi.lightcurve.PeriodPeakResult attribute) Nyquist period

O

offset (pgmuvi.gps.DustMean attribute) (pgmuvi.gps.PowerLawMean attribute)

outputscale_constraint() (in module pgmuvi.constraints)

P

Period period (pgmuvi.lightcurve.PeriodPeakResult attribute) period_constraint() (in module pgmuvi.constraints) period_ratio_to_primary (pgmuvi.lightcurve.PeriodPeakResult attribute) PeriodicPlusStochasticGPModel (class in pgmuvi.gps) PeriodPeakResult (class in pgmuvi.lightcurve) PeriodSummaryResult (class in pgmuvi.lightcurve) pgmuvi module pgmuvi.constraints module pgmuvi.gps module pgmuvi.initialization module pgmuvi.kernels module pgmuvi.lightcurve module pgmuvi.multiband_ls_significance module pgmuvi.preprocess module pgmuvi.preprocess.quality module pgmuvi.preprocess.variability module

pgmuvi.priors module pgmuvi.synthetic module pgmuvi.trainers module plot() (pgmuvi.lightcurve.Lightcurve method) plot_acf() (pgmuvi.lightcurve.Lightcurve method) plot_corner() (pgmuvi.lightcurve.Lightcurve method) plot_period_summary() (pgmuvi.lightcurve.Lightcurve method) plot_psd() (pgmuvi.lightcurve.Lightcurve method) plot_results() (pgmuvi.lightcurve.Lightcurve method) plot_trace() (pgmuvi.lightcurve.Lightcurve method) positive_constraint() (in module pgmuvi.constraints) Power spectral density power() (pgmuvi.multiband_ls_significance.MultibandLSWithSignificance method) PowerLawMean (class in pgmuvi.gps) PowerLawMeanGPModel (class in pgmuvi.gps) print_parameters() (pgmuvi.lightcurve.Lightcurve method) print_periods() (pgmuvi.lightcurve.Lightcurve method) print_results() (pgmuvi.lightcurve.Lightcurve method) Prior PRIOR_SETS (in module pgmuvi.priors) prominence (pgmuvi.lightcurve.PeriodPeakResult attribute) PSD

Q

Quasi-periodic variability

QuasiPeriodicGPModel (class in pgmuvi.gps)

R

R-hat rank (pgmuvi.lightcurve.PeriodPeakResult attribute) RBF kernel

Red noise robust_scale() (in module pgmuvi.preprocess.quality) RobustZScore (class in pgmuvi.lightcurve)

S

select_bands() (pgmuvi.lightcurve.Lightcurve method) Separable kernel SeparableGPModel (class in pgmuvi.gps) set_constraint() (pgmuvi.lightcurve.Lightcurve method) set_default_constraints() (pgmuvi.lightcurve.Lightcurve method) set_default_priors() (pgmuvi.lightcurve.Lightcurve method) set_hypers() (pgmuvi.lightcurve.Lightcurve method) set_likelihood() (pgmuvi.lightcurve.Lightcurve method) set_model() (pgmuvi.lightcurve.Lightcurve method) set_period_prior() (pgmuvi.lightcurve.Lightcurve method) set_prior() (pgmuvi.lightcurve.Lightcurve method)

SMK SparseSpectralMixtureGPModel (class in pgmuvi.gps) Spectral mixture kernel SpectralMixtureGPModel (class in pgmuvi.gps) SpectralMixtureKISSGPModel (class in pgmuvi.gps) SpectralMixtureLinearMeanGPModel (class in pgmuvi.gps) SpectralMixtureLinearMeanKISSGPModel (class in pgmuvi.gps) Squared-exponential kernel Stetson K subsample_lightcurve() (in module pgmuvi.preprocess) (in module pgmuvi.preprocess.quality) summary() (pgmuvi.lightcurve.Lightcurve method)

T

to_csv() (pgmuvi.lightcurve.Lightcurve method) to_table() (pgmuvi.lightcurve.Lightcurve method) (pgmuvi.lightcurve.PeriodSummaryResult method) to_text() (pgmuvi.lightcurve.PeriodSummaryResult method) train() (in module pgmuvi.trainers) train_mll() (in module pgmuvi.trainers) train_variational() (in module pgmuvi.trainers) train_variational_uncertain() (in module pgmuvi.trainers) Trainer (class in pgmuvi.trainers) transform() (pgmuvi.lightcurve.MinMax method) (pgmuvi.lightcurve.RobustZScore method) (pgmuvi.lightcurve.Transformer method) (pgmuvi.lightcurve.ZScore method)

transform_x() (pgmuvi.lightcurve.Lightcurve method) transform_y() (pgmuvi.lightcurve.Lightcurve method) Transformer (class in pgmuvi.lightcurve) TwoDSpectralMixtureDustMeanGPModel (class in pgmuvi.gps) TwoDSpectralMixtureDustMeanKISSGPModel (class in pgmuvi.gps) TwoDSpectralMixtureGPModel (class in pgmuvi.gps) TwoDSpectralMixtureKISSGPModel (class in pgmuvi.gps) TwoDSpectralMixtureLinearMeanGPModel (class in pgmuvi.gps) TwoDSpectralMixtureLinearMeanKISSGPModel (class in pgmuvi.gps) TwoDSpectralMixturePowerLawMeanGPModel (class in pgmuvi.gps) TwoDSpectralMixturePowerLawMeanKISSGPModel (class in pgmuvi.gps)

V

values() (pgmuvi.lightcurve.PeriodSummaryResult method)

W

wavelength_constraint() (in module pgmuvi.constraints) WavelengthDependentGPModel (class in pgmuvi.gps) weight (pgmuvi.gps.PowerLawMean attribute) weighted_chi2_test() (in module pgmuvi.preprocess) (in module pgmuvi.preprocess.variability)

White noise write_json() (pgmuvi.lightcurve.PeriodSummaryResult method) write_period_summary_outputs() (pgmuvi.lightcurve.Lightcurve method) write_text() (pgmuvi.lightcurve.PeriodSummaryResult method) write_votable() (pgmuvi.lightcurve.Lightcurve method)

X

xdata (pgmuvi.lightcurve.Lightcurve property)

Y

ydata (pgmuvi.lightcurve.Lightcurve property)

yerr (pgmuvi.lightcurve.Lightcurve property)

Z

ZScore (class in pgmuvi.lightcurve)