Table 1

Features provided to the whistler detection algorithm.

Feature name Description Units Input
Energy Sum of squares of F R , nT2 Time series
Variance Variance of dF R /dt. nT2 s−2 Time series
Absolute maximum Maximum of dF R /dt. nTs−1 Time series
Fraction over half maximum Fraction of values of dF R /dt exceeding 40% of the Absolute maximum. Time series
RMS Root mean square of dF R /dt. nTs−1 Time series
Standard deviation of variance Standard deviation of the variances of dF R /dt using a sliding window of 30 points. nT2 s−2 Time series
Variance of the ZCA Variance of the Zero Crossing Area (ZCA): Integral of dF R /dt between successive crossings of 0. nT2 Time series
Variance of the normalized ZCA Variance of the ZCA of dF R /dt normalised by their durations. nT2 s−2 Time series
Mean of the differences of ZCA Average of the difference of consecutive ZCA of dF R /dt. nT Time series
Variance of the differences of ZCA Variance of the difference of consecutive ZCA of dF R /dt. nT2 Time series
Slope of ASD maxima Number of adjacent frequency bins for which the difference between the position of their maxima is less than 3 time-steps. ASD
Proximity of ASD maxima Number of adjacent frequency bins for which the positions of their maxima are separated by less than 3 time-steps. ASD
ASD maxima separation Temporal separation between the earliest and latest maximum of any frequency bins relative to the number of frequency bins. ASD
Standard deviation of ASD sums Standard deviation of the sums of the ASD values between 16 and 120 Hz for each time-step. nT/ Hz $ \sqrt{\mathrm{Hz}}$ ASD
Strength of maximum ASD Fraction of the maximum value of the sums of the ASD values between 16 and 120 Hz at each time-step over the total of the ASD values in the time window. ASD

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