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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 1 Polarized and unpolarised transverse waves, with applications to optical systems T. Johnson
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Page 1: Polarized and unpolarised transverse waves, with ... · Polarized and unpolarised transverse waves, with applications to optical systems T. Johnson. ... – such waves are often referred

2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 1

Polarized and unpolarised transverse waves, with applications to optical systems

T. Johnson

Page 2: Polarized and unpolarised transverse waves, with ... · Polarized and unpolarised transverse waves, with applications to optical systems T. Johnson. ... – such waves are often referred

2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 2

Outline

Previous lecture:• The quarter wave plate• Set up coordinate system suitable for transverse waves• Jones calculus; matrix formulation of how wave polarization changes

when passing through polarizing component– Examples: linear polarizer, quarter wave plate, Faraday rotation

This lecture• Statistical representation of incoherent/unpolarized waves

– Polarization tensors and Stokes vectors• The Poincaré sphere

• Muller calculus; matrix formulation for the transmission of partially polarized waves

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 3

Incoherent/unpolarised waves

• Many sources of electromagnetic radiation are not coherent– they do not radiate perfect harmonic oscillations (not sinusoidal wave)

• over a few wave lengths the oscillations may “look” harmonic• over longer periods the wave appear unpredictable, incoherent, or even

stochastic– such waves are often referred to as unpolarised

• To model such waves, consider the electric field to be a stochastic process, with statistical properties:– an average: < Eα (t,x) >– a variance: < [ Eα (t,x) ]* Eβ (t,x) >– a covariance: < [ Eα (t,x) ]* Eβ (t+s,x+y) >

• In this chapter we will focus on the variance, here called the intensity tensorIαβ = < [Eα (t,x) ]* Eβ (t,x) >

and the polarization tensor (where eM=E / |E| is the polarization vector)pαβ = < [ eM

α (t,x) ]* eMβ (t,x) >

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 4

Representations for the polarization tensor

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 5

Examples

Page 6: Polarized and unpolarised transverse waves, with ... · Polarized and unpolarised transverse waves, with applications to optical systems T. Johnson. ... – such waves are often referred

Table of ideal polarisations

By Dan Moulton - http://en.wikipedia.org/wiki/Image:Side2.png, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=3319458

2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 2 - T. Johnson 6

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 7

The polarization tensor for unpolarized waves (1)

• What are the Stokes parameters for unpolarised waves?– Let the eM

1 and eM2 be stochastic variable

– The vector eM is normalised:– By symmetry (no statistical difference between eM

1 and eM2 )

– the polarization tensor then reads

– i.e. unpolarised have {q,u,v}={0,0,0}!

– Since eM1 and eM

2 are uncorrelated the offdiagonal term vanish

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 8

The polarization tensor for unpolarized waves (2)

• Alternative derivation:– Note first that the polarization vector is normalised

– the polarization is complex and stochastic:• where θ, φ1 and φ2 are

uniformly distributed in [0,2π]

• The corresponding polarization tensor

– here the average is over the three random variables θ, φ1 and φ2

– i.e. unpolarised have {q,u,v}={0,0,0}!

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 9

Poincaré sphere

• Define the degree of polarisation: 𝑟 = 𝑞$ + 𝑢$ + 𝑣$

• Consider the normalised vector { q/r , u/r , v/r }; the polarised fraction– since this vector is real and normalised it will represent points on a

sphere, the so called Poincaré sphere

• Thus, a transverse wave field is described by a point on the Poincaré sphere– Polar coordinates 𝜒 and 𝜓 are useful!

• A polarizing element induces a motion on the sphere– Example: passing though a birefringent crystal traces a circle !

• Birefringence induces a rotation in 𝜒• Faraday rotation is a rotation in 𝜓

Poincare sphere

v

u

q2χ

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 10

The Stokes vector

• Using unit- and Pauli-matrixes, we define τAαβ as:

• The intensity tensor, 𝐼+, = 𝐸+∗𝐸, , is also Hermitian:

𝐼+, =12 𝐼 1 0

0 1 + 𝑄 1 00 −1 + 𝑈 0 1

1 0 + 𝑉 0 −𝑖𝑖 0 = 𝐼 + 𝑄 𝑈 − 𝑖𝑉

𝑈 + 𝑖𝑉 𝐼 − 𝑄

– The four real parameters 𝐼,𝑄,𝑈, 𝑉 are the Stokes parameter– The Stokes vector is defined as 𝑆9 = 𝐼, 𝑄,𝑈,𝑉

• Using index notation the intensity tensor and the Stokes vector are related by:

– The matrixes τAαβ, defines a transformation between

Hermitian 2x2 matrixes and real 4-vectors

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 11

Outline

Previous lecture:• The quarter wave plate• Set up coordinate system suitable for transverse waves• Jones calculus; matrix formulation of how wave polarization changes

when passing through polarizing component– Examples: linear polarizer, quarter wave plate, Faraday rotation

This lecture• Statistical representation of incoherent/unpolarized waves

– Polarization tensors and Stokes vectors• The Poincare sphere

• Müller (Mueller) calculus; matrix formulation for the transmission of partially polarized waves– Example: Optical components– General theory for dispersive media

Page 12: Polarized and unpolarised transverse waves, with ... · Polarized and unpolarised transverse waves, with applications to optical systems T. Johnson. ... – such waves are often referred

Müller matrixes• Müller matrixes maps incoming to outgoing Stokes vectors

𝑆9:;< = 𝑀9>𝑆>?@

• Since 𝑆9 is a four-vector, 𝑀9> is four-by-four• Müller matrixes generalises Jones matrixes by describing both

coherent and incoherent waves• How can we find the components of a Müller matrix, e.g. for a

linear polariser?a) 4x4=16 unknownb) Consider four experiments with different polarisation, e.g.

i. Horisontal polarisation, 𝑆 = 1,1,0,0ii. 45o tilted polarisation, 𝑆 = [1,0,1,0]iii. Circular polarisation, 𝑆 = [1,0,0,1]iv. Incoherent polarisation, 𝑆 = [1,0,0,0]

c) Calculate the relation 𝑆9:;<(𝑆>?@), for each of the four polarisations above.Note: This is four equations per polarisation, i.e. 16 equations!

2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 2 - T. Johnson 12

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 13

Examples of Müller matrixes

Examples:

What is the Müller matrix for Faraday rotation?

Linear polarizer (Horizontal Transmission)

Linear polarizer (45o transmission)

Quarter wave plate(fast axis horizontal)

Attenuating filter (30% Transmission)

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 14

Examples of Müller matrixes

• Insert unpolarised light, SAin=[1,0,0,0]

– Step 1: Linear polariser transmit linearly polarised light

• In optics it is common to connect a series of optical elements• Consider a system with:

– a linear polarizer and – a quarter wave plate

– Step 2: Quarter wave plate transmit circularly polarised light

/ 2

2 x

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• In weakly anisotropic media the wave equation can be rewritten on a form suitable for studying the wave polarisation.

– the left hand side can then be expanded to give

2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 15

Weakly anisotropic media

• Write the weakly anisotropic transverse response as

– where ΔKαβ is a small perturbation

• The wave equation

– when ΔKij is a small, the 1st order dispersion relation reads: n2≈n02

small, <<1

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 16

The wave equation in Jones calculus

• Inverse Fourier transform, when k0=ωn0/c:

• Factor our the eikonal with wave number k0 :

• The wave equation can then be simplified

The differential transfer equation in the Jones calculus!(We will use this relation in the next lecture)

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 17

The wave equation as an ODE

• Rewrite it in terms of the Stokes vector:

• Wave equation for the intensity tensor:

– we may call this the differential formulation of Müller calculus– symmetric matrix ρAB describes non-dissipative changes in polarization– and the antisymmetric matrix µAB describes dissipation (absorption)

from prev. page:

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2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 6 18

The wave equation as an ODE

• The ODE for SA has the analytic solution (cmp to the ODE y’=ky)

– cmp with Taylor series for exponential

• Here MAB is a Müller matrix– MAB represents entire optical components / systems– This is a component based Müller calculus

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Summary

• Unpolarised waves is incoherent when studied on time-scales longer than the wave-period.

• Representation of unpolarised waves using– Intensity tensor (Hermitian), 𝑝+,

– Polarisation tensor (Hermitian), 𝐼+,

– Stokes vector, 𝑆9, components of 𝐼+, using the Pauli matrixes as basis

• Polarised part of a wave field may be represented on the Poincarésphere

• Müller matrixes, 𝑀9>, describe changes in the polarisation when passing an optical component.

2/16/17 Electromagnetic Processes In Dispersive Media, Lecture 2 - T. Johnson 19