Correlated-k method (absorption of radiation)

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The discussion focuses on the correlated-k method for calculating the absorption of electromagnetic radiation through a material with a Gaussian-shaped absorption spectral line. The user initially questions the accuracy of two different formulas for calculating the absorbed fraction of energy, one based on direct integration and the other derived from the correlated-k method. They clarify that their initial formula represented the non-absorbed fraction rather than the absorbed fraction, which they later corrected. A significant issue arises when evaluating the function f(k), which diverges as k approaches zero, prompting a modification to the Gaussian function to avoid infinities. Ultimately, the adjusted method yields results closely aligned with the expected transmittance, indicating a successful resolution to the problem.
hilbert2
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I've been recently studying the correlated-k method of calculating the absorption of EM radiation when passing through a sample of given thickness. I'm not sure if anyone here has experience on the same subject, but in case there is I have some questions...

Suppose I have a material sample that has only one Gaussian-shaped absorption spectral line, with the absorption coefficient ##\kappa## given as a function of wavenumber ##\eta## as

##k(\eta ) = Ae^{-b(\eta - \eta_0 )^2}##.

Now, I guess that if I have a beam of light/IR radiation that has a constant spectral intensity on a given wavenumber range ##[\eta_1 ,\eta_2 ]## and zero intensity outside that range, the fraction of total radiative energy absorbed when passing through a sample of thickness ##\Delta x## is

##\tau = \frac{\int\limits_{\eta_1}^{\eta_2}\exp\left[-\kappa (\eta )\Delta x\right] d\eta}{\eta_2 - \eta_1}## (*)

(or is there a weighting with ##\eta## inside the integral in numerator? If the wavelength range ##[\eta_1 , \eta_2 ]## is narrow, this doesn't matter though...) The correlated-k method is based on the assumption, that if I define a function ##f(k)## with the relation ##d\eta = (\eta_2 -\eta_1 )f(k)dk##, and form the functions

##g(k) = \int\limits_{k(\eta_1 )}^{k}f(k')dk'##,
##k(g) = g^{-1}(g)##,

then the absorbed fraction can be calculated by

##\tau = \int\limits_{0}^{1}e^{-k(g)\Delta x}dg## (**).

This result can supposedly be shown to be exact. Now, the function ##f(k)## seems to give the relative length of a small wavenumber interval ##d\eta## corresponding to a small absorption coefficient interval ##dk##. If I choose a small subinterval ##dk## from the set ##[0,A]##, there are two wavenumber intervals (on both sides of ##\eta_0##), that are "equivalent" to this. For the Gaussian spectral line, it seems to be that

##f(k) = \frac{\exp\left|\log{A/k}\right|}{(\eta_2 - \eta_1 )A\sqrt{b\log(A/k)}}##.

And the functions ##g(k)## and ##k(g)## are easy to deduce from this by numerical integration and function inversion in Mathematica. The graph of function ##f(k)## for ##k\in [0,A]## looks a bit similar to how the gamma function ##\Gamma (x)## behaves on some intervals between negative integer values of ##x##, but I'm not sure if this has any relevance.

The problem is, that if I choose some values for the parameters ##A,b,\eta_1 ,\eta_2 ,\eta_0## and calculate the absorbed fraction for several values of ##\Delta x##, I will not get the same result from (*) and (**)... Does anyone here see any obvious mistake in the calculations I have made? The correlated-k method has been described in this article: http://heattransfer.asmedigitalcollection.asme.org/article.aspx?articleid=1445408 (not sure if there's a free full text available somewhere).

Thanks,
Hilbert2
 
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hilbert2 said:
##\tau = \frac{\int\limits_{\eta_1}^{\eta_2}\exp\left[-\kappa (\eta )\Delta x\right] d\eta}{\eta_2 - \eta_1}## (*)
Isn't this the non-absorbed fraction rather than the absorbed fraction?
 
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Yeah, sorry, that's of course the non-absorbed fraction. I'm just applying the Lambert-Beer law for non-monochromatic radiation in there.
 
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Just mentioning that I solved this problem. When the spectral line is defined as that kind of a Gaussian function, the function ##f(k)## looks something like this:

2hro29s.jpg


And then ##g(k)## is difficult to evaluate numerically because ##f(k)\rightarrow\infty## as ##k\rightarrow 0##. The solution is to shift the Gaussian downwards by some small number:

##k(\eta ) = Ae^{-b(\eta - \eta_0 )^2} - \epsilon##

and then consider only the interval where ##k(\eta )\geq 0##. That way there's no infinities in the ##f(k)## as the graph of ##k(\eta )## meets the horizontal axis with a nonzero angle of incidence. The k-distribution result seem to be very close to the exact transmittance when calculating it like this.
 
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