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[原创] ‘Gedankenspektrum’ Methods in Optical Coatings

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发表于 2009-3-23 10:30:06 | 显示全部楼层 |阅读模式
‘Gedankenspektrum’ Methods in Optical Coatings
4 B/ D  R1 z9 t5 c3 ]Fred T. Goldstein*/ G( t3 s8 P. i
FTG Software Associates, P.O. Box 579, Princeton, NJ USA 08542
, G# o! O8 }! ]. y8 }! Y9 jCopyright 2008 Society of Photo-Optical Instrumentation Engineers (SPIE)
  ?6 i1 I3 L0 [5 X5 VABSTRACT
  Y" w6 P+ }1 I3 k! AOptical coatings are subject to random and systematic errors. Assuming unvarying dispersion, least-squares fitting of
* \( F. u% l: s6 e' m$ K( @$ ?) `measured spectra provides means to solve for non-gross thickness errors. Unlike coating design, in which many* L% w3 p6 F( R7 J) U
acceptable and nearly equivalent solutions are possible, inverse-synthesis requires the unique and correct solution.
. N" e& i9 R) N4 g0 H5 R: s' V9 BWe introduce a ‘Gedankenspektrum’ (thought spectrum) method for determining the range and types of spectra required. m7 }, Y6 @4 `2 X5 O
for a correct solution. Starting with an ideal design, we simulate production errors and then calculate the spectrum.8 X, W& L1 R& `6 g  M8 a
Returning to the original design, we solve for the layers corresponding to the modified spectrum. Finally, if each layer is
2 W! g' {& C8 j( ~) f% Vclose to its known value, inverse-synthesis is successful; otherwise it fails. The process is repeated until the statistics
6 i5 V# k0 Z3 L  l+ c% ibecome clear. Reliability depends on the type of design, number of layers, and measurement specifics. Most importantly,# Z- H. D% P; o" u" j% v3 N
reliability increases markedly when measurements at non-normal incidence are included. This indicates the insufficiency4 }! x* m+ Q5 c* O! P9 z9 W* c
in the (usual?) practice of measuring optical coatings solely according to pass/fail criteria.
$ b. t# F" h+ R* l+ v3 h! fA second ‘Gedankenspektrum’ method helps decide which spectral measurements and film thicknesses are required for. \2 w! a9 z0 f
determining n&k in single films, particularly metals. Starting with given dispersion values, random noise is added to2 N" D2 P1 t% C. G
calculated spectra, thereby simulating measurement conditions. We then solve for n&k and compare to given values.

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