sdr | index /users/schrei_f/src/py4CAtS/lbl/sdr.py |
Speed dependent Voigt (SDV) and Rautian (SDR) functions K(x,y,...)
The generalizations of the Voigt function K(x,y) with one and/or two additional arguments q and/or r.
ARGUMENTS:
x = sqrtLn2*(vGrid-vLine)/gammaG (vGrid = wavenumber (grid); vLine = actual line position (incl. shift))
y = sqrtLn2*gammaL/gammaG (gammaL = gamma0 speed averaged broadening at actual p,T)
q = sqrtLn2*gamma2/gammaG (gamma2 = quadratic dependence of broadening parameter at p,T)
r = sqrtLn2*nu_vc/gammaG (frequency of velocity-changing collisions (Dicke narrowing) (= zeta in Varghese&Hanson))
REFERENCES:
BWB = Boone, Walker, Bernath:
An efficient analytical approach for calculating line mixing in atmospheric remote sensing applications.
JQSRT 112(6), pp. 8=980-089, 2011
TNH = Tran, Ngo, Hartmann: Efficient computation of some speed-dependent isolated line profiles.
JQSRT 129, pp. 199–203, 2013. (Erratum: JQSRT 134, 104 (2014))
FS: Computational aspects of speed-dependent Voigt profiles. JQSRT 187, pp. 44-53, 2017
FS+PH: Computational aspects of speed-dependent Voigt and Rautian profiles. JQSRT 258, 107385, 2021
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__all__ = ['rautian', 'sdv', 'sdr'] |