rraman.getKuboDamping¶

rraman.getKuboDamping(t, Delta, Lambda)¶

Calculates the damping term using Kubo’s stochastic model. This model describes the broadening, but does not yield solvent induced Stokes shifts.

Parameters:	t (array) – Time axis (fs). Delta (float) – Magnitude of solvent energy gap fluctuations (cm-1). This parameter also controls the effective line shape: Delta >> Lambda = Lorentzian Delta << Lambda = Gaussian Lambda (float) – Effective frequency of solvent fluctuations (cm-1).
Returns:	Damping term in the time domain, $e^{-g(t)}$ .