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Second-order spatial coherence
First, let us consider the analytic signal
and
that fluctuate with time t at different two points
and
,
and the field is assumed to be
stationary. Their cross-correlation function is defined by
 |
(2.1) |
where the angular bracket denotes the ensemble average, the asterisk
denotes the complex conjugate, and
is the time difference. This
cross-correlation function is called the mutual coherence function in
statistical optics. The mutual coherence function with
is
named as the mutual intensity, and the definition is
 |
(2.2) |
The complex degree of coherence is defined as the normalized mutual
coherence:
 |
(2.3) |
where
 |
(2.4) |
The complex degree of coherence, which is defined by
Eq. (2.3), is related to the visibility of the spatial
interference fringes that appear in the two-beam interference of the
light from
and
.
The relationship between the
complex degree of coherence and the visibility V is represented by
 |
(2.5) |
where
and
are the maximum and the minimum intensities that are seen around
.
While the modulus of the complex degree of coherence
represents the visibility of the interference fringes, the argument of
the complex degree of coherence is related to the location of the
interference fringes. The complex degree of coherence describes the
spatial correlation of the quasi-monochromatic wavefields in the
space-time domain. On the other hand, the dependence of the correlation
property on the optical frequency is essential in the case where the
spectral bandwidth of the wavefields is broad. The cross-spectral
density and the spectral degree of coherence play a critical role in
this case.
The analytic signal
at
is a scalar variable if
we consider one of the orthogonal components, and the analytic signal
and the Fourier spectrum
that represents a particular
frequency component are related by the Fourier transform pair:
 |
(2.6) |
and
 |
(2.7) |
Let us consider the ensemble average of the product of
two Fourier spectra with different frequencies at two points
and
:
where
.
Substitution of Eq. (2.1) into
Eq. (2.8) gives
 |
(2.9) |
where
is the cross-spectral density. The
mutual coherence function and the cross-spectral density are also
related by the Fourier transform pair:
 |
(2.10) |
and
 |
(2.11) |
Note that Eq. (2.9) implies that the Fourier spectra at
different frequencies
and
are uncorrelated. Therefore, the
cross-spectral density represents the spatial correlation of the
wavefields at a particular frequency.
As stated above, the complex degree of coherence is defined as the
normalized mutual coherence function. The normalization of the
cross-spectral density defines the spectral degree of coherence in a
similar way:
 |
(2.12) |
The modulus of the spectral degree of coherence is limited to the range
[0,1], namely
 |
(2.13) |
The modulus of the complex degree of coherence represents the visibility
of the spatial interference fringes, and on the other hand the modulus
of the spectral degree of coherence represents the interference
efficiency of the spectral interference.
As described in Eqs. (2.10) and (2.11), the mutual
coherence function and the cross-spectral density are related by the
Fourier transform relationship. However, the relationship between their
normalization forms, namely the complex degree of coherence and the
spectral degree of coherence, is more complicated. Now, let us define
the Fourier transform of the complex degree of coherence by
 |
(2.14) |
As is obvious from Eq. (2.3), the representation of
with the cross-spectral density is
 |
(2.15) |
Equation (2.15) can be rewritten when
as
 |
(2.16) |
and
can be also expressed by
 |
(2.17) |
Then the following equation holds:
 |
(2.18) |
Equations (2.12), (2.15), and
(2.16) gives the representation of the spectral degree of
coherence with
as
 |
(2.19) |
Equation (2.19) means that the complex degree of coherence
and the spectral degree of coherence are not related by the Fourier
transform pair unlike the relationship between the mutual coherence
function and the cross-spectral density.
Next: Propagation of spectral coherence
Up: Introduction to second-order spatial
Previous: Introduction
Hidenobu ARIMOTO
2000-02-17