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.
Study of the tempo- ral correlations in the magnitude time series before major earthquakes in japan
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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.