| http://people.csail.mit.edu/jaffer/FreeSnell/coherence.html |
FreeSnell: Optical Coherence | |
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This suite is from "coherence.scm", part of the FreeSnell package. "coherence.log" is the text generated by running coherence.scm:
scm -l coherence.scm > coherence.log
Suppose we have a 14.um thick sheet of high-density polyethylene with
air on both sides. If the wavelength we want to pass is around 11.um
(vertical arrow), then this plastic film will pass it with little
attenuation.
The vacillations between transmissions of 0.8 and 1.0 are caused by destructive and constructive interference between the incident and reflective waves at the HDPE surfaces.
But a thin single sheet of plastic also conducts heat well. One way
to reduce heat conduction is to use multiple glazings (sheets)
separated by air.
Now there is interference across the enclosed air space which, by virtue of its greater thickness, has 50 times more peaks and troughs than the HDPE intererence.
When we add a third glazing the troughs become quite deep, making this
analysis suspect; or at least difficult to interpret. The peak and
valley wavelengths of the narrow bands are extremely sensitive to
changes in the distance between sheets, such as could be caused by
temperature changes, vibration, or small changes in incident angle.
But with millimeter layer thicknesses a one degree change can jump several short-wavelength peaks. The reflections are no longer strongly correlated with the incident light; they are incoherent.
Whereas coherent systems are modeled by the electric field intensities whose complex values add and subtract as interference; incoherent light intensities add as quantities of (electrical) power. A calculation analogous to FreeSnell's matrix method will suffice: The 2-by-2 matrices set up are the same as for the coherent case except that the square of the magnitude of each matrix element replaces that matrix element.
The incoherent designation applies to an individual layer. FreeSnell segregates the stack into coherent substacks separated by incoherent layers. Each substack is solved and the resulting matrices are used as the reflection matrices in the incoherent stack.
If we make all layers incoherent, then the graph will lack any
ripples. That would be incorrect; each glazing this thin does add
ripple. We assign incoherence to only the spaces between the
glazings. In the single glazing case there is no difference from the
coherent case.
The transmission for two coherent glazings with an incoherent airspace
between them is shown to the right. The ripples are twice as deep as
for one glazing.
The transmission for three coherent glazings with two incoherent
airspaces between them is shown to the right. The ripples are thrice
as deep as for one glazing.
Because of the incoherence effects discussed earlier, and because of
the finite apertures of spectrographs, at short wavelengths the
wiggles average out. Adding (smooth 0.05e-6)
computes the
convolution
of the spectrum with the
Gaussian filter
having a sigma of 0.05.um, as was done in the section
Matching Measured Data.
Smoothing is much easier to apply in the wavenumber (and eV) domain
because the interference ripples are evenly spaced:
Wavenumbers and electron-Volts also have the desirable property that each increment in value corresponds to a proportional increment in photon energy.
The next chapter attempts to deduce the
spectral refractive index of polyethylene from published graphs of
transmission.
|
I am a guest and not a member of the MIT Computer Science and Artificial Intelligence Laboratory.
My actions and comments do not reflect in any way on MIT. | ||
| FreeSnell | ||
| agj @ alum.mit.edu | Go Figure! | |