MF-toolkit is a new Python library with automated crossover detection algorithms and surrogate analysis for multifractal time series, demonstrated on LIGO gravitational wave data.
Crossover detection based on variances of slope differences for multi- fractal detrended fluctuation analysis (mf-dfa)
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MF-toolkit: A High-Performance Python Library for Multifractal Analysis with Automated Crossover Detection, Source Identification and Application to Gravitational Waves Data
MF-toolkit is a new Python library with automated crossover detection algorithms and surrogate analysis for multifractal time series, demonstrated on LIGO gravitational wave data.