Numerical propagation of light beams in refracting / diffracting devices
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Transcript of Numerical propagation of light beams in refracting / diffracting devices
J.-Y. Vinet 1
Numerical propagationof light beams in
refracting/diffracting devicesJean-Yves VINET
Observatoire de la Côte d’Azur(Nice, France)
KASHIWA-October-2011
Summary
•Needs for optical simulations
•General principles of numerical propagation : several methods
• Some examples :• Fourier Transform• Hankel Transform• Modal• Monte-Carlo
•Advantages/drawbacks 2
J.-Y. VinetKASHIWA-October-2011
J.-Y. Vinet
Needs for Optical simulations in GW interferometer design
KASHIWA-October-2011
1) Sensitivity of a GW interferometer is strongly dependent on the quality of the Fabry-Perot cavities-Efficiency of power recycling-Power in sidebands2) Quality of Fabry-Perot’s depends on the quality of the mirrors3) Mirrors are not perfect ! Requirements are needed for manufacturers4) Heated mirrors change of internal/external properties
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General principles of Propagation Methods
Expand optical field on a family of functions of which propagation is well known
•Plane waves•Bessel waves•Gaussian modes (eg. HG or LG)•Photons
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Propagation by Fourier Transform : General principles
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Paraxial diffraction theory
Maxwell+single frequency Helmholtz :2 2 2 2 2/ ( , , , ) 0x y z c E x y z
Slowly varying envelope : ( , , , ) exp ( , , , ) and zE x y z ikz F x y z F kF
2 2 2 ( , , , ) 0x y zik F x y z
Paraxial diffraction equation ( math. analogous to Heat-Fourier and to Schrödinger eq. ) :
2 22 ( , , , ) 0zik p q F p q z
2
( , ) ( , ) ipx iqy
R
f p q f x y e e dxdy2D Fourier Tr. :
1 0
2 2
1 0exp ( )( , , , ) ( , , , )4
p qi z zF p q z F p q z
propagator
2kc
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Propagation by Fourier Transform
0( , , )A x y z 0( , , )A x y z z
0( , , )A p q z0( , , )A p q z z2 2
exp2
p qi zk
FT FT-1
Diffraction over z
Use of Discrete Fourier Transform (in practice : FFT)
x-window1 2 3 N
x=0 x=W
/x W N
p-windowNegative frequenciesPositive frequencies
p=0
N/2
max /p p N W
2 /p W
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Mode of a Fabry-Perot cavityA E
B E’
2 2
exp 2 ( , ) ( 1, 2)2a a a
a
x yR r ik f x y a
2 2
exp 2 ( , ) ( 1,2)2a a
aa
x yr ik f y aR x
exp ( , )a a aT t ikh x y
Curvature radius Measured roughness(Lyon’s surface charts)
Optical thickness
Mirroroperatorsin xy plane
1 1 2( )L LP P ERE AT R
L XP X -1 PF .FPropagation
Implicit equation :
propagator
1M 2M
L
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1 1n nE T A E C
Solution by simple relaxation scheme :
With initial guess : 10 00
1 21tE TEMrr
Large number of iterations if large finesse and/or large defects
Accelerated convergence (a la Aitken):1 1 1 1 1( )n n n n nE E T A E C
1 2M P M P C
With optimal choice of ,n n at each iteration
See e.g. : Saha, JOSA A, Vol 14, No 9, 1997
of simple relaxation'nE
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Black fringe :( ideal TEM00) – (TEM00 reflected by a Virgo cavity) 10-8 W/W
30 cm
2 x perfect 35cm mirors
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Propagation by Bessel Transform : General principles
Suitable for axisymmetrical problems
1( , ) exp ( ) ( , )2
f p q dxdy i px qy f x y
1( , ) exp ( ) ( , )2
f p q dxdy i px qy f x y
cos , sin , cos , sinx r y r p q
2 2( , )f x y f r x y
Assume (axial symmetry) :
then
01( ) exp cos( () ) ( )( )
2f rdrd i r f r J r f r rdr
Fourier Transform :
Bessel Transform
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0( ) ( ) ( )f r J r f d
Inverse B transform :
Assume negligible for ( )f r r a
Let , 1,..., be the zeros of 1( )J r
Sturm-Liouville theorem : the 0( ) ( / )r J r a are a complete, orthogonal family on 0,a
220
0
( ) ( ) , ( )2
a ar r rdr p p J So that
1
( ) ( )ff r rp
0
( ) ( )a
f f r r rdr with
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Example of a sampling grid with 20 nodes
/i i Nx a 1 N
The first 20 zeros of
0. a
1( )J x
x
1( )J x
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1
( ) ( )ff r rp
02 21 1 0
2( ) ( )( ) N
ff f r r J fp a J
0(( ) )
2 201
2with
( )N
JH
a Jf H f
Reciprocal F transform :
20
(( ) )
12 2
0
2with
( )N
N
a JH
Jf H f
Direct and inverse Bessel transforms are done with explicit matrices
/ Nr a
( ) with f fa
Direct F transform :
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Propagator in the Fourier space over distance z :
2 2( , , ) exp4zP p q z i p q
In the Fourier-Bessel space :
a
2 2 2p q
After sampling :
22( ) exp
4zP z ia
Diffraction step by a simple matrix product :
( ) ( )
1 1
( ) (z) with ( ) ( )z z P H P HP z z
To be computed once
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Example : propagation of a TEM00 over 3000 m
Initial wave
Diffraction theory
Bessel propagated
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Representation of mirrorsAxially symmetrical defects : diagonal operator
24exp ( ) with 2 c N
r aiM r f r rR
Pure paraboliccontribution defects
Reflected field :
' M
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A
B
EL
Intracavity field :
Example : reflectance of a Fabry-Perot cavity
21 1 2e ( ) ( )ikLE t A M P L M P L E
C Matrix operator
1M 2M
121e ikLE Id t A
CIntracavity field by matrix inversion :
B R A Reflected field by matrix product :
1† 21 1 2 1e ikLR M t PM P Id t
CWith the reflectance operator
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Modal propagation : general principlesThe set of all complex functions of integrable square modulus has the structure of a Hilbert space, with a scalar product
( , )x y
2
*, ( , ) ( , )dxdy x y x y
An example of a basis of such a HS is the Hermite-Gauss family of optical modes
2 2 2 2
2
2( , ) 2 2 exp expnm nm n mx y x y x yx y H H iw w w R
So that any optical amplitude can be expanded in a series of HG modes
,
( , ) ( , )nm nmm n
A x y A x y
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Propagation of a HG mode of parameter (waist) :2 2
2 2
2 1( , , ) exp ( )( ) 2 ! ! ( ) 2 ( )
2 2
lm lmm n
l m
P r rx y z ik iG zw z m n w z R z
x yH Hw w
20 /b w
20( ) 1 ( / )w z w z b
2
( ) bR z zz
( ) ( 1)arctan( / )lmG z l m z b
0w
Rayleigh parameter :
Beam width :
Curvature radius of the wavefront :
Gouy phase
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2
( ) bR z zz
z
20( ) 1 ( / )w z w z b
0w
0z
Diffraction of a Gaussian beam
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HG01 HG22
HG05 HG55
Representation of mirrors by their matrix elements
,abcd ab cdM M
,abcd ab cdM M
Modal expansion widely used by Andreas Freise’s « Finesse » package
Propagation of light in complex structures by Monte-Carlo photons
Principle : send random pointlike particles from identified sources
Rough mirrorsurface
« Main beam »
Scattered light
Reflection of a photon
k
n
'k
' 2( . )k k k n n
Refraction of a photonk n
'k
2 21' . 1 ( . )k k k n N k n nN
Diffusion of a photon
Rough surface
'Random variablewith a PD that mimicsthe BRDF of the material
Diffraction of photons ?
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Probability Densityof emission point
Probability Densityof direction
source
target
2( , )lmdP x ydS
2
2
1 ( , )lmdPd
2 2( , ) sin cos , sin sin
( , )
lm
lm
p q p q
Example 1 : Propagation of a beam
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Example 1 : propagation of a TEM00 over 3000 mw0=2cm
Initial wave : MC
Analytical initial TEM
MC propagated
Diffraction theory
Monte-Carlo methods
Radial coord. [m]
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Example 2 : Management of diffraction by obstacles
: Centered random deviate of standard deviation* arctan4 x
x
screen
Emissionof photons
target
. ,p x p k
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Example 2 : diffraction by an edge
Histogram : Monte-Carlo
Diffraction theory(Fresnel Integral)
Screen at 5m
transverse distances [m]
Conclusion*FFT propagation : general purpose codes (DarkF), suitable even for short spatial wavelength defects of mirrors
•Propagation by Bessel transform : suitable for axisymmetricalproblems (eg. heating by axisymmetrical beams)
•Propagation by modal expansion : ideal for nearly perfect instruments, small misalignments, small ROC errors, etc….•Photons : mandatory for propagation of scattered light
in complex structures (vacuum tanks, etc…)