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Application and Optimisation of the Spatial Phase Shifting ...

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2.3 Second-order speckle statistics 41<br />

2.3.3.2 <strong>Phase</strong> statistics<br />

To obtain p(ϕ 1 ,ϕ 2 ), we have to integrate (2.49) over I 1 <strong>and</strong> I 2 , which is ra<strong>the</strong>r complicated, but has<br />

fortunately been taken care <strong>of</strong> before [Mid60, Goo75]; <strong>the</strong> result is<br />

1 µ A 2<br />

p( ϕ1 ϕ2) ( 1 )<br />

2<br />

3/<br />

2<br />

β β β β π 2<br />

, = − − ⎛<br />

⎞<br />

− arcsin + + 1 − β<br />

2<br />

⎜<br />

⎟ , (2.53)<br />

4π<br />

⎝<br />

2 ⎠<br />

where β=|µ Α |cos(ϕ 1 –ϕ 2 +ψ) <strong>and</strong> we deal with ψ as above. To look at <strong>the</strong> quantity <strong>of</strong> interest, namely <strong>the</strong><br />

phase at (x 2 ,y 2 ) in relation to that at (x 1 ,y 1 ), we can content ourselves with fixing ϕ 1 to some arbitrary<br />

value <strong>and</strong> varying ϕ 2 from –π to π. For convenience, we introduce <strong>the</strong> relative phase variable ϕ 1 -ϕ 2 +ψ<br />

<strong>and</strong> consider p( ), which yields one plot for all ϕ 1 . Repeating <strong>the</strong> procedure with swapped angles ϕ 1 <strong>and</strong><br />

ϕ 2 would teach us nothing new, as β is symmetrical in ϕ 1 <strong>and</strong> ϕ 2 . The resulting probability distribution <strong>of</strong><br />

vs. Fµ Α F is shown in Fig. 2.26.<br />

0.3<br />

0.2<br />

p (¡)<br />

0.1<br />

0<br />

0.5<br />

-3.14<br />

0.25<br />

-1.57<br />

¡<br />

0<br />

¢<br />

0<br />

1.57<br />

¢µ A<br />

3.14<br />

Fig. 2.26: Pseudo-3D plot <strong>of</strong> p(£) for 0¤¥µ Α ¥

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