Module light_curve_feature::features [−][src]
Expand description
Feature sctructs implements crate::FeatureEvaluator trait
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
Time-series duration
Von Neummann $\eta$
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
Maximum time interval between consequent 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
Minimum time interval between consequent observations
Number of observations
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
Mean time
Standard deviation of time moments
Villar function fit
Weighted mean magnitude
Enums
Logarithm of priors for VillarFit parameters