This invention relates to sensors and, in particular, to methods, systems, apparatus and devices for a differential Shack-Hartmann curvature sensor to measure the differentials of wave front slope, i.e. wave front curvatures, to determine the wave front shape for use in active/adaptive optics, optical testing, opthalmology, telescope image analysis and atmosphere and random media characterizations.
The Shack-Hartmann sensor is one of the most popular wavefront sensors presently available. The sensor measures the slope data of the wavefront by comparing the coordinates of Hartmann grid points from the measurement beam with coordinates from the reference beam.
where (xiref,yiref) (i=1, 2, . . . , m, m=t×t is the total number of grid points) is the Hartmann grid coordinates of the reference beam, (ximea,yimea) is the Hartmann grid coordinates of the measurement beam, and f is the focal length of the lenslet array.
Compared to the Hartmann test, the Shack-Hartmann wavefront sensor provides improved photon efficiency because the position of the focal spot is proportional to the average wavefront slope over each sub-aperture and the position is independent of higher-order aberrations and intensity profile variations. The Shack-Hartmann sensor is a parallel wavefront sensor operating in real time. It has application in active/adaptive optics, optical testing, opthalmology, telescope image analysis and atmosphere and random media characterizations.
However, the usage of the Shack-Hartmann sensor is restrictive because it requires an external reference, or a reference beam, and is sensitive to vibration, tilt and whole body movement. Therefore, a need exists for a sensor that provides the benefits of the Shack-Hartmann sensor without the limitations.
A primary objective of the invention is to provide a new method, system, apparatus and device for measuring differentials of the wave front slopes to determine the wave front curvature without the use of an external reference or reference light source after calibration.
A secondary objective of the invention is to provide a new method, system, apparatus and device measuring differentials of the wavefront slopes to determine the wavefront curvature independent of vibration, tilt or whole body movement so it is useful for measurements on a moving stage.
A third objective of the invention is to provide a new method, system, apparatus and device for a differential Shack-Hartmann curvature sensor that is scale tunable by varying differential values.
A fourth objective of the invention is to provide a new method, system, apparatus and device for a differential Shack-Hartmann curvature sensor that can be applied in optical testing with vibration.
A fifth objective of the invention is to provide a new method, system, apparatus and device for a differential Shack-Hartmann curvature sensor without moving parts for increased reliability.
A sixth objective of the invention is to provide a new method, system, apparatus and device for a differential Shack-Hartmann curvature sensor for use in optical testing, active and adaptive optics, shape-extraction in bio-optics and opthalmology, such as corneal measurement.
A seventh objective of the invention is to provide a new method, system, apparatus and device for a differential Shack-Hartmann curvature sensor for measuring the normal curvatures and the twist curvature terms.
An eighth objective of the invention is to provide a new method, system, apparatus and device for a differential Shack-Hartmann curvature sensor for measuring the wave front principal curvatures and directions.
A first preferred embodiment of the invention provides a method, system and apparatus for providing a differential Shack-Hartmann curvature sensor for measuring the local curvatures of a wavefront. The differential Shack-Hartmann curvature sensor includes a Shack-Hartmann sensor with an output beam and an optical element to split said output beam into three beams traveling in three different directions. Three lenslet arrays mounted in the paths of the three beams generate three corresponding Hartmann grids. A shearing device makes two of the three lenslet arrays shear a differential difference in two perpendicular directions, respectively, comparing to the third lenslet array. A measuring device measures the Hartmann grid coordinates generated by said three lenslet arrays to determine the curvature of the wavefront at each of said Hartmann grid point.
In the second and third embodiment, wavefront curvature is measured by using a Shack-Hartmann sensing system that has three output beams. Two of the three output beams are sheared in two perpendicular directions comparing to the third one with their corresponding two lenslet arrays conjugated to the third one, and the Hartmann grids are differentially displaced. Differentials of plural wavefront slopes at said plural Hartmann grid points of the said third lenslet array are measured, and the curvatures of the wavefront at the plural Hartmann grid points are obtained.
Further objects and advantages of this invention will be apparent from the following detailed description of preferred embodiments, which are illustrated schematically in the accompanying drawings.
a shows a direct implementation layout of the differential Shack-Hartmann curvature sensor according to an embodiment of the present invention.
b shows another direct implementation layout of the differential Shack-Hartmann curvature sensor according to another embodiment of the present invention.
c shows yet another direct implementation of the differential Shack-Hartmann curvature sensor according to another embodiment of the present invention.
a shows the image space of Roddier's curvature sensing technique of the prior art.
b shows the object space of Roddier's curvature sensing corresponding to the image space of
Before explaining the disclosed embodiments of the present invention in details it is to be understood that the invention is not limited in its application to the details of the particular arrangements shown since the invention is capable of other embodiments. Also, the terminology used herein is for the purpose of description and not of limitation.
The following is a list of the reference numbers used in the drawings and the detailed specification to identify components:
The method, system, apparatus and device of the present invention provides a Shack-Hartmann curvature sensor that shears the Shack-Hartmann grid, horizontally and vertically, as shown in
A. Normal Curvature Measurements
Differential displacements are made in the x and y directions to obtain slope differentials of the wavefront, the wavefront curvatures. The curvature sensor of the present invention is implemented as a Shack-Hartmann sensor with three output channels for achieving the Hartmann grid shearing in two perpendicular directions. The slope is measured in the three channels as well as the curvature of the wavefront at each Hartmann grid point.
The Hartmann grid is shifted a lateral differential distance in the x and in the y direction, which are suggested in this invention to adopt 1/10 to ½ of the pitch size of the Hartmann grid according to each specific application. As shown in
where c0,x(i) and c0,y(i) are obtained by
and in this paper sx and sy are the differential shifts in the x- and y-directions, respectively. Theoretically c0,x(i) and c0,y(i) are “1/f”, because the lenslet array is moved a lateral distance sx in x-direction, for example, the reference Shack-Hartmann grid moves exactly the same distance sx accordingly, therefore, xi′Ref−xiRef=sx and c0,x(i)=1/f; similarly, c0,y(i)=1/f. However, in practice c0,x(i) and c0,y(i) are not “1/f”, because the coordinates are measured by different CCD cameras, so they belong to different coordinate system and therefore c0,x(i) and c0,y(i) are obtained by calibration.
The slope differentials in the cross directions, referred to as the corresponding twist curvatures, are given by
where c0,yx(i) and c0,xy(i) are constants given by
In Equations (2) and (4), (ximea,yimea), (xi′mea,yi′mea) and (xin
If the wavefront travels in the z direction, and the beam is split into three parts traveling in three different directions, one beam travels in the z-direction, another beam travels in the x-direction, and the third beam travels in the y-direction. For example, three lenslet arrays 402, 404 and 406, are placed in the three beams such that 402 is in the z-direction beam, 404 is in the x-direction beam, and 406 is in the y-direction beam as shown in
Examples of alternative direct implementation layouts are shown in
The differential Shack-Hartmann curvature sensor 400 of the present invention uses three lenslet arrays 402, 404, 406 in three channels and three CCD cameras 412, 414, 416 to record the coordinates of the each Hartmann grid points as shown in
The calibration diagram is shown in
B. Principal Curvature Computations
The normal curvature is the change of the surface normal in an osculating plane, and the principal curvatures of a non-umbilical point are the maximum and minimum values of normal curvatures, say κ1 and κ2, in two perpendicular directions. Regarding a local patch of surface, the principal curvatures are invariants, which are insensitive to the surface orientation. In order to evaluate the principal curvatures, it is assumed that the neighborhood of a Hartmann grid point is represented by a “Monge patch” of the form:
X=x{right arrow over (e)}1+y{right arrow over (e)}2+W(x,y){right arrow over (e)}3, (6)
where ({right arrow over (e)}1, {right arrow over (e)}2, {right arrow over (e)}3) is an orthogonal frame in Euclidean 3-space. Then the second fundamental form has a matrix to describe the local surface shape as
where {circumflex over (ω)}ji3 (i=1,2; j=1,2.) defines the component in {right arrow over (e)}i of the turning rate of the normal as the frame moves across the given point along {right arrow over (e)}j. For a wave front traveling in the z-direction ({right arrow over (e)}3), W(x,y) is the “height” as a function of x and y in the pupil plane. Then at each “Monge patch”, the matrix II becomes
where the diagonal terms cx(i) and cy(i) are the wave front normal curvatures in the x-direction and in the y-directions, i.e.
the off-diagonal terms cxy(i) and cyx(i) are the corresponding twist curvature terms, i.e.
It is assumed that cxy(i)=cyx(i).
The determinant of matrix II, denoted as K, is known as the Gaussian curvature. The trace of the matrix II, denoted as 2H, is known as the mean curvature. Both Gaussian curvature and mean curvature are algebraic invariants, which do not change with rotation of the orthogonal frame ({right arrow over (e)}1, {right arrow over (e)}2, {right arrow over (e)}3) about the normal.
By diagonalizing the matrix II to rotate the orthogonal frame about {right arrow over (e)}3, the off-diagonal terms disappear, and a new matrix II′ is obtained by
II′=PTIIP, (9)
where P is an orthogonal matrix defined by
where angle θ is defined as the frame rotation angle. The new matrix II′ is a diagonal matrix, which is
where κ1(i) and κ2(i) (κ1(i)>κ2(i)) are the eigenvalues of the matrix II, also known as the first and second principal curvatures that define the maximum and minimum normal curvatures at a given point patch, and i=1, 2, . . . , m, where m is the total number of Shack-Hartmann grid points. Plug the Equations (8), (10) and (11) into Equation (9), to obtain the principal curvatures κ1 and κ2 at each grid point as
and the rotation angle θ is the angle between the first principal curvature and the x-direction, which can be obtained by
The principal curvatures can also be computed by evaluating the eigenvalues of matrix II with its characteristic equation as
det(κI−II)=0, (14)
the result is the same as Equation (12). The rotation angle θ can also be computed with Euler's formula (1760) by
where H is the mean curvature given by
H(i)=(cx(i)+cy(i))/2, (16)
Then the angle θ is given by
Apply Equation (12) into Equation (17), to obtain
which is equivalent to Equation (13).
C. Comparisons with the Previous Arts
With the system calibrated, the discrepancies between the image de-magnifying systems are cancelled, the discrepancies between the two arms in the cube beam splitter are cancelled, and the aberrations in the collimator and the cube prisms are also cancelled. Besides the error from the ideal flat mirror used for introducing the reference beam, which can be very small, and the nominal errors in applying the shearing differential values in Equations (2) and (3), the remaining error sources are the discrepancies between lenslets 402, 404 and 406, which are negligible for high quality micro-lenslet arrays.
As shown in the configuration in
The following description compares the differential Shack-Hartmann curvature sensor with a prior art curvature sensor. In 1988, Francois Roddier proposed a method to measure the local curvature of the wavefront surface by measuring the difference in illumination of the two planes before and after the focal point as shown in
where Δz is the distance from the pupil plane of the defocused plane P1 or P2 viewed from the object space. A plane at a distance from the focus is conjugated to a plane at a distance Δz from the pupil. Roddier proved that
So Roddier obtained the well-known equation
Curvature sensing is a technique used typically in adaptive optics to measure the Laplacian of the wavefront by subtracting intensity profiles from an exact distance before and after the focus of a lens. The idea of the Roddier's curvature sensor is that the normalized differential intensity change along the optical axis provides the information of the local Laplacian curvature of the wavefront.
For adaptive optics systems, the image before and after the focus is usually switched mechanically, making the systems quite noisy during operation. In contrast, the Differential Shack-Hartmann curvature sensor contains no moving parts making it more reliable.
Interferometry is a technique to make the wavefront to interfere with itself or an ideal wavefront. It is especially good for measuring high spatial frequency aberrations and low amplitude aberrations. But air motion and mechanical vibrations make obtaining an image with an interferometer difficult, especially for testing large optics. Sophisticated software is necessary to extract meaningful and accurate information from interferograms. Commercial interferometers are typically expensive, where a high quality Shack-Hartmann wavefront sensor is typically much less expensive.
Foucault knife-edge testing involves moving a knife-edge through the focus of a beam and observing the intensity pattern on a screen. Like interferometry, knife-edge testing allows high-spatial frequency aberrations to be observed. But it requires very accurate alignment of the knife-edge to the beam focus, and it is qualitative test.
In summary, the Differential Shack-Hartmann Curvature sensor shares the important features of the Shack-Hartmann sensor, such as it is a real-time wavefront measurement, measurements are inherently two-dimensional and parallel, it is independent of higher-order aberrations and intensity profile variations, has good photon efficiency and is good for the all wavelength bands.
The Differential Shack-Hartmann Curvature Sensor also provides some unique features such as eliminating the need for external references after calibration, the sensor is independent of vibrations, tilt and whole body movements, which makes it a good choice for measurements with moving objects, and is scale tunable by changing differential values.
While the invention has been described, disclosed, illustrated and shown in various terms of certain embodiments or modifications which it has presumed in practice, the scope of the invention is not intended to be, nor should it be deemed to be, limited thereby and such other modifications or embodiments as may be suggested by the teachings herein are particularly reserved especially as they fall within the breadth and scope of the claims here appended.
This application claims the benefit of priority to U.S. Provisional Patent Application No. 60/692,884 filed on Jun. 22, 2005.
Number | Name | Date | Kind |
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6130419 | Neal | Oct 2000 | A |
7078665 | Topa | Jul 2006 | B2 |
Number | Date | Country | |
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60692884 | Jun 2005 | US |