grapa.datatypes.curveArrhenius.CurveArrheniusCfDefects

class grapa.datatypes.curveArrhenius.CurveArrheniusCfDefects(data, attributes, silent=False)

Bases: CurveArrhenius

‘fit’: ‘ln2ksi-E/kT’, ‘y’: ‘ln(omega*T**-2)’

__init__(data, attributes, silent=False)

Methods

func_Arrhenius(T, E, prefactor)	Returns function(K) which will appear linear on a Arrhenius plot.
get_help([short])
popt(z)
y_Arrhenius([index])	y-axis transform function, getting the Arrhenius straight line

Attributes

attr
dataLabel
dataLabelArrhenius
name
poptLabel
switchModel

func_Arrhenius(T, E, prefactor)

Returns function(K) which will appear linear on a Arrhenius plot. E is energy barrier prefactor is value on plot at 1/T = 0

y_Arrhenius(index=None, **kwargs)

y-axis transform function, getting the Arrhenius straight line