sportran.current.tools.fstar_analysis

sportran.current.tools.fstar_analysis(x, TSKIP_LIST, aic_type='aic', aic_Kmin_corrfactor=1.0, manual_cutoffK=None, plot=True, axes=None, FIGSIZE=None, verbose=False, **plot_kwargs)

Perform cepstral analysis on a set of resampled time series, to study the effect of f*. For each TSKIP in TSKIP_LIST, the HeatCurrent x is filtered & resampled, and then cesptral-analysed.

Parameters

• TSKIP_LIST = list of sampling times [steps]

• aic_type = the Akaike Information Criterion function used to choose the cutoff (‘aic’, ‘aicc’)

• aic_Kmin_corrfactor = correction factor multiplied by the AIC cutoff (cutoffK = aic_Kmin * aic_Kmin_corrfactor)

• manual_cutoffK = (P*-1) = manual cutoff. If set, the AIC cutoff will be ignored.

• plot = plot the PSD (default (True))

• axes = matplotlib.axes.Axes object (if None, create one)

• FIGSIZE = plot figure size

• verbose = verbose output (default (False))

• **plot_kwargs = other parameters passed to plot function

Returns

• xf (array_like) – an array of HeatCurrents, corresponding the values of TSKIP_LIST

• ax (array_like, optional (if plot=True)) – array of plot axes

• fig (figure, optional (if axes=None)) – plot figure