Module light_curve_feature::features [−][src]
Expand description
Feature sctructs implements crate::FeatureEvaluator trait
Modules
Time-series features highly dependent on the cadence
Structs
Half amplitude of magnitude
Unbiased Anderson–Darling normality test statistic
Bazin function fit
Fraction of observations beyond $n,\sigma_m$ from the mean magnitude $\langle m \rangle$
Sampled time series meta-feature
Cusum — a range of cumulative sums
Von Neummann $\eta$
$\eta^e$ — modification of Eta for unevenly time series
Measure of the variability amplitude
Inter-percentile range
Excess kurtosis of magnitude
Slope, its error and reduced $\chi^2$ of the light curve in the linear fit
The slope, its error and noise level of the light curve in the linear fit
Magnitude percentage ratio
Maximum slope between two sub-sequential observations
Mean magnitude
Standard deviation to mean ratio
Median magnitude
Median of the absolute value of the difference between magnitude and its median
Fraction of observations inside $\mathrm{Median}(m) \pm q \times (\max(m) - \min(m)) / 2$ interval
Maximum deviation of magnitude from its median
Ratio of $p$th inter-percentile range to the median
Peaks of Lomb–Scargle periodogram and periodogram as a meta-feature
Reduced $\chi^2$ of magnitude measurements
Skewness of magnitude $G_1$
Standard deviation of magnitude $\sigma_m$
Stetson $K$ coefficient described light curve shape
Villar function fit
Weighted mean magnitude