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The inductive part of the impedance is not used for the DRT computation. Trimming it can help with visualization.
Note: DRT computation collapses for τmin ≥ τmax
Narrowing the time constant range can be used to eliminate high-frequency artifacts or to exclude processes fitted to the diffusion part of the impedance.
Note: DRT computation collapses for τmin ≥ τmax
Narrowing the time constant range can be used to eliminate high-frequency artifacts or to exclude processes fitted to the diffusion part of the impedance.
The discretization basis defines the underlying model used to approximate the DRT.
For most cases, the Cole-Cole basis (presuming ZARC elements) is a reasonable choice.
More information on the bases can be found here: DOI:10.1016/j.jpowsour.2025.237403.
The Debye basis is what is used in most commonly available DRT methods.
Therein, the impedance is reconstructed using ideal RC elements (i.e., Dirac pulses in the relaxation time domain), yielding singular DRT peaks.
Thus, regularization (e.g., Tikhonov) is typically required to avoid overfitting.
The Gaussian basis presumes normally-distributed relaxation time constants around a central value.
Its shape is controlled by the full-width at half maximum (which is related to the standard deviation).
Note: For real-world systems involving porous electrodes, the Cole-Cole basis is typically more accurate.
The Cole-Cole basis assumes ZARC elements (with non-ideal capacitances), making it a great fit for real-world impedance spectra of porous electrodes.
The shape is defined by α and regularization is typically not needed.
The Havriliak-Negami relaxation is used to model dispersed, skewed processes.
It comprises two shape parameters (α and β), controlling the shape and asymmetry of the basis function, respectively.
Data export
Debye basis does not natively return per-process information.
Impedance representations are not yet available for Gauss-type bases, hence no per-process impedance.