arpes.fits.fit_models.functional_forms

Common implementations of peaks, backgrounds for other models.

Functions

affine_bkg(x[, lin_bkg, const_bkg])	An affine/linear background.
band_edge_bkg(x[, center, width, amplitude, ...])	Lorentzian plus affine background multiplied into fermi edge with overall offset.
fermi_dirac(x[, center, width, scale])	Fermi edge, with somewhat arbitrary normalization.
fermi_dirac_affine(x[, center, width, ...])	Fermi step edge with a linear background above the Fermi level.
g(x[, mu, sigma])	TODO, unify this with the standard Gaussian definition because it's gross.
gaussian(x[, center, sigma, amplitude])	Some constants are absorbed here into the amplitude factor.
gstep(x[, center, width, erf_amp])	Fermi function convolved with a Gaussian.
gstep_stdev(x[, center, sigma, erf_amp])	Fermi function convolved with a Gaussian.
gstepb(x[, center, width, erf_amp, lin_bkg, ...])	Fermi function convoled with a Gaussian together with affine background.
lorentzian(x, gamma, center, amplitude)	A straightforward Lorentzian.
twolorentzian(x, gamma, t_gamma, center, ...)	A double lorentzian model.