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Lens Design II
Lecture 4: Freeforms
2018-11-14
Herbert Gross
Winter term 2018
2
Preliminary Schedule Lens Design II 2018
1 17.10. Aberrations and optimization Repetition
2 24.10. Structural modificationsZero operands, lens splitting, lens addition, lens removal, material selection
3 07.11. Aspheres Correction with aspheres, Forbes approach, optimal location of aspheres, several aspheres
4 14.11. FreeformsFreeform surfaces, general aspects, surface description, quality assessment, initial systems
5 21.11. Field flatteningAstigmatism and field curvature, thick meniscus, plus-minus pairs, field lenses
6 28.11. Chromatical correction IAchromatization, axial versus transversal, glass selection rules, burried surfaces
7 05.12. Chromatical correction IISecondary spectrum, apochromatic correction, aplanatic achromates, spherochromatism
8 12.12. Special correction topics I Symmetry, wide field systems, stop position, vignetting
9 19.12. Special correction topics IITelecentricity, monocentric systems, anamorphotic lenses, Scheimpflug systems
10 09.01. Higher order aberrations High NA systems, broken achromates, induced aberrations
11 16.01. Further topics Sensitivity, scan systems, eyepieces
12 23.01. Mirror systems special aspects, double passes, catadioptric systems
13 30.01. Zoom systems Mechanical compensation, optical compensation
14 06.01. Diffractive elementsColor correction, ray equivalent model, straylight, third order aberrations, manufacturing
Introduction
Examples and Applications
Surface representations
Modelling of real surfaces
Quality assessment
Strategy of imaging optical design
3
Contents
Asphere
Cylindrical lens
Freeform lens
Axicon
Prisms
4
Optical Components
In the TOP-15 journals
Publications of Freeform Systems (until 2011)
Ref.: W. Ulrich
6
Benefit of Generalized Surfaces
Primary goal from industrial development:
1. reduce number of components (small impact)
2. increase functionality
3. cheaper system (usually a dream of the managers)
4. improved performance
General approach: desired critical properties
1. size/volume
2. Field of view
3. F-number/aperture
Increase in performance with more generalized
surfaces:
1. spherical
2. conics and aspheres
3. freeforms
Ref.: K. Fuerschbach
Criteria for performance: aperture and field
Landscape of solutions
Legend:
RS = rotational symmetric
FF = freeform
NT = non-telecentric
T = telecentric
PN = positive-negative
PP = positive-positive
7
Two-Mirror Systems with Freeforms
Ref.: G. West
8
Structure of the Topic FFS for Imaging
Design methods
- selection of optimal representation
- raytrace
- optimization algorithms
- initial system selection
- best location of FFS
- general rules for usage of FFS in design
Realization aspects
- description of localized deviations
- description of MSF ripple
- real surface analysis in simulation
- tolerancing
- adjustment and alignment of systems
Performance and aberrations
- total quality
- surface contributions
- field dependence
- nodal theory
Overview in issues in optical design with freeform surfaces:
1. Modellierung and plattform
1.1 Mathematical description of the surfaces
1.2 Definition of the tools and the interfaces/formats of excange
(optical design, mechanical design, metrology, manufacturing)
1.3 Development of appropriate performance criteria and presentations for systems free
of symmetry with field dependence
1.4 Adaptation and improvement of optimization algorithms
2. Methods of correction in design
2.1 Gettimng initial systems
2.2 Collection of experience in design strategy
2.3 Development of design rules (?)
2.3 Systematic investigation of system types for freeforms
(in particular mirror systems)
3. Metrology and manufacturing
3.1 Tolerancing of surfaces
3.2 Reference points for positioning
3.3 Data re-import of measured surfaces for performance check
3.4 Support of adjustment and integration
Challenges in Optical Design with Freeforms
9
Classes according to remaining symmetry
Non-Axisymmetric Systems: Classes and Types
axisymmetric
co-axial
double plane symmetric
anamorphotic
plane symmetric
non-symmetrical
eccentric
off-axis
rot-sym components
3D tilt and decenter
TMAScheimpflug
Yolo telescope anamorphotic camera
traditional
early EUV projectors
Schiefspieglertelecopes
11
Aberration Theory and Symmetry
Seid
el, w
ith
fie
ld
Ara
ki
Vecto
rial I -
wit
h f
ield
Sh
ack / T
ho
mp
so
n / S
asia
n
Vecto
rial II -
wit
h f
ield
Fu
ers
ch
ba
ch
Ald
is t
he
ory
- o
ne
ra
y o
nly
Welf
ord
- o
ne O
PD
po
int
on
ly
Ole
szko
- Z
ern
ike
Para
xia
l -
axis
Para
basal aro
un
d r
eal O
AR
/ C
R
2 x
2
4 ×
4
5 ×
5
Rotational
symmetric
Photographic lens,
microscope, zoom lens
Double plane-
symmetricAnamorphic
Freeform (plane-
symmetric)Scheimpflug
Freeform (non-
symmetric)Cubic phase plate for EDF
Rotational
symmetric
Schiefspiegler telescope,
spherical TMA, HMD
Double plane-
symmetricAnamorphic prism stretcher
Freeform (plane-
symmetric)
Unobscured telescope, TMA
corrected, HMD
Freeform (non-
symmetric)
Alvarez plate system,
panoramic zoom system
Rotational
symmetricYolo telescope, spherical
Freeform (non-
symmetric)Yolo telescope, corrected
Aberration theory
4th order 6th orderexact -
all orders
OAR
Straight
1D bend
2D bend
Sample systemsSurface
symmetry
ray transfer matrix
Reference
Pseudo-3D-layouts:
eccentric part of axisymmetric system
common axis
Remaining symmetry plane
Schiefspiegler-Telescopes
mirror M1
mirror M3
mirror M2
image
used eccentric subaperture
M1
M3M
2
y
x
-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
2.5
field points of figure 34-143
Imaging reflective:
Mirror system without obscuration, especially TMA (surveying, bird watching, astronomy,
planetarium, fundus camera, panoramic camera, EUV lithography,...)
Head Up Display
Broad-band or short-wavelength systems (x-ray)
Compact folded camera lenses
Grating spectrometer setups
Imaging refractive:
Eyeglasses
Anamorphotic camera systems (object-image format adaptation)
Alvarez and related compensator/adjustment components
Scheimpflug setup for metrology
Prism spectrometer setups
Imaging catadioptric:
Head Mounted Device
Illumination:
Illumination shaping coherent
Illumination shaping incoherent
13
Applications of freeforms
14
Anamorphic refractive systems
Refractive correctors
Head mounted device
Eyeglasses
Refractive and Catadioptric Freeform Systems
eye
pupil
image
total
internal
reflection
free formed
surface
free formed
surface
field angle 14°
15
Telescopes
Spectrometer
Lithographic projection systems
Reflective Freeform Systems
HMD Projection System
Special anatomic requirements
Aspects:
1. Eye movement
2. Pupil size
3. Eye relief
4. Field size
5. See-through / look-around
6. Brightness
7. Weight and size
8. Stereoscopic vision
9. Free-forme surfaces and DOE
spectacles
eye
balleye
axis
earfree space
for HMD
HMD Projection Lens
eye
pupil
image
total
internal
reflection
free formed
surface
free formed
surface
field angle 14°
y
x
-8
-6
-4
-2
0
2
4
6
8
-8 -6 -4 -2 0 2 4 6 8y
x
-8
-6
-4
-2
0
2
4
6
8
-8 -6 -4 -2 0 2 4 6 8
binodal
points
-8
-6
-4
-2
0
2
4
6
8
-8 -6 -4 -2 0 2 4 6 8-8
-6
-4
-2
0
2
4
6
8
-8 -6 -4 -2 0 2 4 6 8
-8
-6
-4
-2
0
2
4
6
8
-8 -6 -4 -2 0 2 4 6 8
astigmatism, 0 ... 1.25 coma, 0 ... 0.34 Wrms
, 0.17 ... 0.58
Refractive 3D-system
Free-formed prism
One coma nodal point
Two astigmatism nodal
points
3-mirror telescope without
obscuration
Example:
Yolo-telescope
Aberration fields:
1. Spot 2. Coma 3. Astigmatism
Yolo Telescope - system without symmetry
-20 -15 -10 -5 0 5 10 15 20-20
-15
-10
-5
0
5
10
15
20y
x
y
-20 -15 -10 -5 0 5 10 15 20-20
-15
-10
-5
0
5
10
15
20
x
y
-20 -15 -10 -5 0 5 10 15 20-20
-15
-10
-5
0
5
10
15
20
18
1. General:
efficient and robust calculation
covering most application needs
simple and robust import and export of data
direktedirect relation to tolerancing
fit of measured data easy possible
simple extension of ROI to larger area for fixing the mounting
2. Raytrace:
fast calculation of intersection points
fast calculation of local slopes
3. Optimization:
significant description of usual surfaces with only a few parameter
fast convergence in optimization
4. Types of surfaces:
smooth surfaces, analytical for aberration correction
multi functional surfaces (multi apertures, segmentation, splitting of bundels)
modeling of local deviations of real surfaces (manufactured)
point cloads from measurements, typically noisy
piecewise continuous surfaces (Fresnel surfaces, arrays, segmented mirrors,...)
Requirement on the Surface Description
19
Extended polynomials
classical non-orthogonal monomial representation
Zernike surface
Only useful for circular pupils and low orders
Splines
Localized description, hard to optimize, good for manufacturing characterization
Generalized Forbes polynomials
Promising new approach, two types, strong relation to tolerancing
Radial basis functions
Non-orthogonal local description approach, good for local effect description
Wavelets
Not preferred for smooth surfaces, only feasible for tolerancing
Fourier representation
Classical description without assumptions, but not adapted to aberrations
Smooth vs segmented, facetted, steps, non-Fermat surfaces
Real world is still more complicated
20
Freeform Systems: Surface Representations
21
Freeform Surfaces
Ref.: D. Ochse
local global
basic shape + deformation terms = freeform
Sphere
Conic
Biconic
…
Along surface normal or
z-direction
orthogonal / non-orthogonal orthogonal / non-orthogonal
sag slope sag slope
Representation classification:
1. Global polar based
2. Global cartesian based
3. Local supporting
4. in particular describing high frequency regular ripple
22
Types of Representations
Global defini-tion
Local defini-tion
Polar based
Carte-sian based
Sag ortho-gonal
Gra-dient ortho-gonal
Boun-dary circ
Boun-dary rect.
Zernike x x x x
Zernike differences x x x x
Generalized Forbes x x x x
Off-axis aspheres x x
Monomials x x
Chebychev x x x x
Legendre x x x x
Fourier x x x x
New polynomials x x x x
Splines x x
Radial basis functions x x x
Wavelets x x x
Generalized scheme
1. basic shape 2. prefactor 3. polynomial expansion
Basic shape:
1. best fit sphere (for extracting the non-spherical contribution)
2. circular conic section (for extracting the non-circular contribution)
3. biconic (to cover the astigmatism and keep it out of the expansion)
Prefactor:
regulates wether the correction is along z or projected normal to the surface
Scaling on a: normalization of the lateral extend to be diameter-independent
Expansion polynomials with coefficients bn:
1. orthogonal in sag (Zernike, Legendre, Chebychev)
2. orthogonal in slope (Forbes)
3. Boundary circular / rectangular
4. different weighting functions (uniform, emphasized boundary, ...)
23
Freeform Surface Representations
2 2
2 22 2
22 2 2 20
1
( , )1 1 1
n n
n
r r
a acr rz x y b P
ac r c r
Extended polynomials
Zernike surfaces
Fourier surface
Cubic spline, locally in patch j,k defined as polynomials of order 3
Expansion into non-orthogonal
local shifted Gaussian
functions (RBF)
Generalized Forbes asphere
24
Freeform Surface Representations
mj
mj
jm
yyxx
yxyxA
ycxc
ycxcyxz
,2222
22
)1()1(11),(
mn
m
nnm
yyxx
yxyxZC
ycxc
ycxcyxz
,2222
22
),()1()1(11
),(
mn
yikxik
nm
yyxx
yx ymxneBycxc
ycxcyxz
,2222
22
Re)1()1(11
),(
mn
w
yy
w
xx
nm
yyxx
yx y
n
x
n
eaycxc
ycxcyxz
,2222
22
22
)1()1(11),(
nk
m
j
m n
jkmnkj yyxxayxz
3
0
3
0
, ),(
2
2
1 0
02
200
22
2
2
2
2
22
2
)sin()cos(
1
1
11),(
a
rQmbma
a
r
a
rQa
rc
a
r
a
r
rc
cryxz
m
n
m n
m
n
m
n
m
n
nn
Generalized approach for
orthogonal surface decomposition
Slope orthogonality is guaranteed
and is related to tolerancing
25
Freeform Systems: Forbes Surfaces
Ref: C.Menke/G.Forbes, AOT 2(2013)p.97
2
2
1 0
02
200
22
2
2
2
2
22
2
)sin()cos(
1
1
11),(
a
rQmbma
a
r
a
rQa
rc
a
r
a
r
rc
cryxz
m
n
m n
m
n
m
n
m
n
nn
Representation of a surface as Fourier decomposition
This kind of description typically contains
three ranges of spatial frequencies:
1. figure
2. mid spatial frequency range (MSF)
3. micro roughness
The phase information of the sine-
components is lost in this chart:
no information on localization of pertur-
bation obtained
In Log-diagram the PSD often is nearly
linear decreasing,
the slope is characteristic for the manu-
facturing process
Oscillations can be identified clearly by
peaks
26
Power Spectral Density
fractal model limiting line
slope m = -1.5...-2.5
log A2
Four
low spatial
frequency
figure error,
loss of
resolution
mid
frequency
rangemicro roughness,
loss of contrast
1/
oscillation of the
polishing machine,
turning ripple
10/D1/D 50/D
larger deviations in K-
correlation approach
growing statistical nature
2
21 1( , ) z( , )
2
x yi x y
PSD x yF x y e dx dyA
Diamond turning or milling creates regular ripple in nearly any case
- reason: point-like tooling and tool vs workpiece oscillations
- in case of final polishing effect is strongly reduced
Depending on the ratio of tool size and surface diameter this structure can not be described
by figure representations
27
Regular Ripple Errors
low
frequency
fit
residual
errors
original
a) b) c) d)
Wave aberration field
indices
Normalized field vector: H
normalized pupil vector: rp
angle between H and rp:
Expansion according to the invariants
for circular symmetric components
Vectorial Aberrations
nmj
n
pp
m
p
j
klmp rrrHHHWrHW,,
,
mnlmjk 2,2
y
Hrp
field1
1
pupil
cos
2
2
pp
ppp
rHrHw
rrrv
HHHu
28
x
yrp
s
p
s'
p'
xP
yp
x'
y'
x'P
y'p
object
plane
entrance
pupil
exit
pupilz
system
surfaces
P'
P
H
z'
image
plane
Vectorial Aberrations
ord j m n Term scalar Name
0 0 0 0 000W uniform Piston
2
1 0 0 HHW
200 2
200 HW quadratic piston
0 1 0 prHW111 cos111 prHW magnification
0 0 1 pp rrW020 2
020 prW focus
4
0 0 2 2040 pp rrW
4
040 prW spherical aberration
0 1 1 ppp rHrrW131 cos131 prHW coma
0 2 0 2222 prHW 2
22
222 cosprHW astigmatism
1 0 1 pp rrHHW220
22
220 prHW field curvature
1 1 0 prHHHW311 cos3
311 prHW distortion
2 0 0 2400 HHW
4
400 HW quartic piston
6
1 0 2 2240 pp rrHHW
42
240 prHW oblique spherical aberration
1 1 1 ppp rHrrHHW331 cos33
331 prHW coma field 3rd
1 2 0 2422 prHHHW 224
422 cosprHW astigmatism field 4th
2 0 1 pp rrHHW
2
420 24
420 prHW field curvature field 4th
2 1 0 prHHHW
2
511 cos5
511 prHW distortion field 4th
3 0 0 3600 HHW
6
600 HW piston 6th
0 0 3 3060 pp rrW
6
060 prW spherical aberration 6th
0 1 2 ppp rHrrW
2
151 cos5
151 prHW coma 6th
0 2 1 2242 ppp rHrrW 242
242 cosprHW astigmatism 6th
0 3 0 3333 prHW 333
333 cosprHW trefoil
30
Vectorial Aberration Contributions
Idea of nodal points:
image points of the tilted component axes
Every component has its individual axis, the aberrations are symmetric around this axis
(circular symmetric sub-system)
The axis are bended towards the image plane
Every circular symmetric component therefore has an individual aberration center sj in
the image plane
The interaction and overlay of the various centers are complicated y
x
lens 2
lens 3
aberration
contribution
lens 3
aberration
contribution
lens 2
s3
s2
lens 1
bended axis
rays
aberration
contribution
lens 1
s1
Expanded and rearranged 3rd order expressions:
- aberrations fields
- nodal lines/points for vanishing aberration
Example coma:
abbreviation: nodal point location
one nodal point with
vanishing coma
Nodal Theory
ppp
q
q
q
o
q
qcoma rrrW
W
HWW
,131
,131
,131
s
)(
131
,131
,131
,131
131 c
q
j
q
q
W
W
W
W
a
ss
pppo
c
coma rrraHWW 131
)(
131
zero
coma
green zero
coma
blue
zero
coma
total
Complete system:
Additivity of phase delay at every surface is obvious
Practical problems:
- change of normalization radii
- grid distortion
- huge amount of information, systematic analysis complicated
- analytical representation not possible
- reference on parabasal or finite reference sphere
32
Wave Aberration Additivity
P
arbitrary ray
y
1 2 3
y'
P'
surfaces exit pupil
total Wtot
W1
W2 W3
surface contributions
ray pencil
Optimization of systems with freeform surfaces:
- huge number of degrees of freedom
- large differences in convergence according to surface representation
- local vs global influence functions
- definition of performance and formulation of merit function is complicated and
cumbersome
Classical system matrix for local defined splines is ill conditioned
Starting systems:
- still more important as in conventional optics
- only a few well known systems published
- larger archive for starting systems not available until now
- own experience usually is poor
Best location of FFF surfaces inside the system:
- still more important as in the case of circular symmetric aspheres
- no criteria known until now
33
Freeform Systems: Optimization