Optimum angles for a polarimeter: part II
Amrit Ambirajan
Dwight C. Look, Jr., MEMBER SPIE
University of Missouri-Rolla
Thermal Radiative Transfer Group
Mechanical and Aerospace Engineering and
Engineering Mechanics Department
Rolla, Missouri 65401
1 Introduction
In most polarimeters13 involving a quarter-wave plate and
a linear polarizer, the polarizer is fixed and the quarter-wave
plate is free to rotate.'3 It was shown3 that, for this system,
a set of angles exists such that a quarter-wave plate rotated
to these positions would lead to a polarimeter with minimal
sensitivity to errors in the azimuthal alignment of the optical
components and fluctuations in the incident light field. In this
paper, we apply the procedure introduced in Ref. 3 to find
sets of angles that will ensure an accurate estimation of an
incident Stokes vector when a polarimeter consists of a ro-
tatable quarter-wave plate and a rotatable linear polarizer.
2 Optimum Angles
To determine the optimum angles for both the components
of the polarimeter, consider the optical system illustrated in
Fig. 1. The first element in this optical system is the quarter-
wave plate and the second is the linear polarizer. The azi-
muthal position of the former is given by and the azimuthal
position of the latter by 0. Note that the incident beam has
1656/OPTICAL ENGINEERING / June 1995 / Vol. 34 No.6
Abstract. The four sets of two optimum rotation angles for a polarimeter
consisting of a quarter-wave plate in conjunction with a linear polarizer,
both of which are free to rotate, are determined. These angles are ob-
tained by maximizing the determinant of the system measurement ma-
trix. The determinant for this system is approximately twice the value of
the determinant when only the quarter-wave plate is free to rotate. In
addition, the condition numbers of the measurement matrix decrease
with the additional consideration of a rotatable linear polarizer.
2.
—I' = {I + Q, cos21 cos[2(O —e
+ U1 sin241 cos[2(0 — + V, sin[2(0 —
(1)
where 1e 5 the j'th total intensity measurement and 4 and
01 are the conesponding rotation angles of the quarter-wave
plate and linear polarizer respectively. Also t1 and t2 are the
isotropic transmittances of the quarter-wave plate and linear
polarizer, respectively. Estimation of the components of the
vector S, requires at least four total intensity measurements
be taken at four corresponding sets of angles (,0). Thus
Subject terms: polarization analysis and measurement; Mueller matrix; polarime-
ter; optimum angles.
Optical Engineering 34(6), 1656- 1658 (June 1995).
a Stokes vector of S, ={I,Q,U, V}T and the exit beam has a
Stokes vector of Se ={'eQe Ue Ve}T.
Using the Mueller matrices for the quarter-wave plate and
linear polarizer,4 the intensity detected by a polarization in-
dependent detector is derived to be5
Paper PAM-I 1 received Nov. 8, 1994; revised manuscript received Jan. 3, 1995;
accepted for publication Jan. 26, 1995. This paper is a revision of a paper presented
at the SPIE conference on Polarization Analysis and Measurement II, July 1994.
San Diego, CA. The paper presented there appears (unrefereed) in SPIE
Proceedings Vol. 2265.
1995 Society of Photo-Optical Instrumentation Engineers. 0091-3286/95/$6.OO.
[l1
I'! IiiI i I — 2 1
I j4 ILei [1
cosa1cosl31 sina1cos1 sinI31
cosa2cos2 sina2cosf32 sinI32
cosa3cosf33 sina3cosl33 sint33
cosii4cosl34 sina4cos4 sinI34
Ii
Qi
(2)
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OPTIMUM ANGLES FOR A POLARIMETER
IeaMPSi , (4)
where 'e and
' are the measured intensity vector and mea—
surement matrix, respectively. Thus, given four suitable sets
of data of (a1, ,I), Eq. (4) can be inverted to estimate the
incident Stokes vector. It is the aim of this paper to determine
four sets of angles (a,3) that minimize the sensitivity of this
polarimetric system to noise in the measured flux vector and
errors in the optical components constituting the optical
system.
For a matrix to be well posed, the condition number must
be as small as possible and the determinant of the matrix as
large as possible.6 A well—posed measurement matrix is de-
fined to have a lower sensitivity to noise in the measured
intensity vector and errors in the optical components com-
posing the polarimeter.3 The smallest possible value that a
condition number can have is one.6 Attempts to use the con-
dition numbers as objective functions in a minimization pro-
cedure as reported in Ref. 3 was not possible using any of
the IMSL subroutines. In this paper, the condition numbers
are only used for comparison purposes. The angles that are
obtained are based solely on maximization of the determinant
of M'.
Consider a unit vector defined by (cosa, cos3, sina,
cos3, sin 13k), where the angles are as shown in Fig. 2 and
i is an integer that can take values from 1 to 4. This sphere
is analagous to the Poincaré sphere.4 The tips of these unit
vectors will lie on this unit sphere. It can be shown7 by vector
algebra that the volume of the tetrahedron formed by the tips
of four such unit vectors is proportional to the determinant
of M'. Further it can be shown by geometric considerations
that the circumscribed tetrahedron with the largest volume
is equal sided (each side equal to 1. 1547). Thus any set of
angles (a,13) that leads to a circumscribed uniform terahedron
is a valid angle set for optimum operating conditions of the
polarimeter. Four such unit, vectors producing optimum an-
gles are shown in Fig. 3 and are numbered from one to four.
A corresponding set of (a,13) can be found to be (0 deg, 90
deg), [0 deg, —arcsin(1/3)j, [120 deg, —arcsin(1/3)], and
[240 deg, —arcsin(1/3)]. Other orientations of the enclosed
tetrahedron would lead to other settings for optimum
operation.
For the angles obtained using the definitions in Ref. 3, the
L1 condition number (K1) ofthemeasurement matrix is 5.864,
the L condition number (Kj is 3.932, and the determinant
is 3.079. It was found3 that for a polarimeter consisting of a
fixed polarizer and a rotating quarter-wave plate, the smallest
possible K1 ofthe measurementmatrix was 7.95 1, the smallest
possible K was 5.872, and the largest absolute value possible
for the determinant was 1 .487. Thus with the additional con-
sideration of a rotatable polarizer, the magnitude of the de-
terminant more than doubles and the condition numbers de-
crease significantly.
3 Conclusion
In this paper, a polarimetric system consisting of a rotatable
quarter-wave plate and a rotatable linear polarizer was ana-
lyzed to find rotation angles that lower the sensitivity of the
OPTICAL ENGINEERING / June 1995 / Vol.34 No.6/1657
Si
M1 M2
Linear
Plate Polarizer
Se
Detector
Fig. 1 Schematic of the polarimeter under consideration.
where
(3)
In matrix notation, Eq. (2) can be written in vector form as Fig. 2 Angles used in representing the rows of the measurementmatrix.
,,'—_—-Tetrahedron
Fig. 3 Rows of the measurement matrix portrayed as numbered
vectors comprising a terahedron in the unit sphere.
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AMB!RAJAN and LOOK
system to noise in the measured flux and errors in the optical
components. A class of angles was found that are the unit
vectors pointing to the corners of uniform tetrahedron lying
inside the unit sphere. It was seen that for this system, the
condition numbers of the measurement matrix dropped sig-
nificantly, and the magnitude of the determinant more than
doubled. With the introduction of rotatable linear polarizer
as an additional degree of freedom, the polarimetric system
becomes less sensitive to noise in the measured flux and errors
in the optical components comprising the polarimeter.
Acknowledgment
The authors wish to acknowledge the partial support of the
National Science Foundation (NSF) through Grant CTS-
9103971. The authors would also like to thank the reviewers
of this paper for some very helpful suggestions.
1658 / OPTICAL ENGINEERING / June 1995 /VoI. 34 No. 6
References
1. J.L. Pezzaniti and R. A. Chipman, ' 'Imaging polarimeters for optical
metrology,' ' in Polarimetry: Radar, Infrared, Visible, Ultraviolet, and
X-Ray (1990), Proc. SPIE 1317, 280—294 (1990).
2. F. M. Morgan, R. A. Chipman, and D. G. Torr, ' 'An ultraviolet polarim-
eter for characterization of an imaging spectrometer,' ' in Polarimetry:
Radar, Infrared, Visible, Ultraviolet, and X-Ray (1990), Proc. SPIE,
1317, 384—394 (1990).
3. A. Ambirajan and D. C. Look, Jr., ' 'Optimum angles for a Mueller matrix
polarimeter," inPolarization Analysis and Measurement II, Proc. SPIE
2265, 314-326 (1994). Also appears in this issue as "Optimum angles
for a polarimeter—I."
4. D. S. Kliger, J. W. Lewis, and C. E. Randall, Polarized Light in Optics
and Spectroscopy, Academic Press, Boston (1990).
5. E. Collett, Polarized Light: Fundamentals and Applications, Marcel
Dekker, New York (1993).
6. E. Issacson and H. B. Keller, Analysis of Numerical Methods, John Wiley
& Sons, New York (1966).
7. M. R. Spiegel, Theory and Problems of Vector Analysis, Schaum's Out-
line Series, New York (1959).
Biographies and photographs of the authors appear with the paper
"Optimum angles for a polarimeter: part I" in this issue.
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