- •Chapter 1
- •Introduction to linear singular optics
- •I.I. Mokhun
- •Chapter 1
- •Introduction to linear singular optics
- •I.I. Mokhun
- •1.1. IntRoduction
- •1.2. Basic notions of scalar singular optics
- •1.2.1. Phase vortices
- •1.2.2. Topological charge and topological index of singular points. Elementary topological reactions
- •1.2.2.1. Topological charge
- •1.2.2.2. Topological index
- •1.2.2.3. Conservation law for topological charge
- •1.2.2.4. Elementary topological reactions
- •1.2.3. Experimental observation and identification of vortices into scalar fields
- •1.2.4. Generation of vortices using computer-generated holograms
- •1.3. Vortices and phase structure of a scalar field
- •1.3.1. Sign principle
- •1.3.2. Phase speckles. “breathing” of phase speckles
- •1.3.3. Birth of vortices
- •1.3.4. Appearance of wave front dislocations as a result of interference of waves with simple phase surfaces
- •1.3.5. Topological indices of the field of intensity. Extrema of phase and intensity. “correlation” of phase and intensity
- •1.3.6. Vortex nets. Phase skeleton of a scalar field
- •1.3.6.1. Reconstruction of the field’s phase on the basis of shifted vortex nets
- •1.3.6.2. Image reconstruction using a regular sampling found from analysis of the parameters of vortices in random field
- •1.3.6.3. Some remarks on the field reconstruction by the use of nets of the intensity sTationary points
- •1.4. Singularities of a vector field
- •1.4.1. Disclinations. Polarization singularities
- •1.4.2. Vortices of phase difference. Sign principle for a vector field
- •1.4.2.1. Field decomposition into orthogonally linearly polarized components
- •1.4.2.2. Principle of the vortex analysis of vector fields
- •1.4.2.3. Vortices of orthogonally polarized field components. Technique for study of polarizatioN singularities
- •1.4.3. “Correlation” of intensity and polariszation of the vector field
- •1.4.4. Interconnection of the component vortices and -points
- •1.4.5. Elementary polarization structures and elementary polarization singularities of vector fields
- •1.4.5.1. Polarization structures resulting from interference of orthogonally linearly polarized beams
- •1.4.5.2. Elementary polarization singularities resulting from interference of circularly polarized beams
- •1.4.5.3. Experimental mOdeling of elementary polarization singularities
- •1.4.6. Fine structure and averaged polarization characteristics of inhomogeneous vector fields
- •1.4.6.1. Avaraged stokes parameters
- •1.4.6.2. Analysis of the averaged parameters for decomposition of the field into linearly polarized components
- •1.4.6.3. Computer simulation of the vector field’s parameters
- •1.4.6.4. Analysis of the averaged parameters for the field decomposition into circular basis
- •1.4.6.5. Comparison of the experimental results and the data of computer simulation
- •1.4.7. “Stokes-formalism” for polarization singularites. “stokes-vortices”
- •1.5. Singularities of the Poynting vector and the structure of optical fields
- •1.5.1. General assumptions. Components of the poynting vector
- •1.5.2. Singularities of the poynting vector in scalar fields
- •1.5.2.1. Instantaneous singularities of a scalar field
- •1.5.2.2. Averaged singularities of the poynting vector of scalar field
- •1.5.3. Singularities of the Poynting vector at vector fields
- •1.5.3.1. Instantaneous singularities of vector field
- •1.5.3.2. Behavior of the Poynting vector in areas of elementary polarization singularities
- •1.5.3.2.1. Symmetric distributions of amplitude and phase of the interfering beams
- •1.5.3.2.2. Non-symmetrical distributions of amplitudes and phases of the interfering beams
- •1.5.3.2.3. Experimental proving of the existence of the orbital momentum in the vicinity of -point
- •1.5.3.3. The averaged Poynting vector of the vector field
- •Instantaneous singularities of the Poynting vector
- •Appendix 1.1. Wave fronts approximation
- •104. I.Mokhun, r.Brandel and Ju.Viktorovskaya, “Angular momentum of electromagnetic field in areas of polarization singularities”, ujpo, Vol. 7, pp. 63-73, (2006).
1.3.6. Vortex nets. Phase skeleton of a scalar field
1.3.6.1. Reconstruction of the field’s phase on the basis of shifted vortex nets
Let the
field
is characterized by some amplitude and phase modulation. Amplitude
modulation means that some “image” is determined at the plane
.
A random field
formed at far field is determined as the Fourier transformation of
the field
.
It is known
that the field
(or image close to
)
can be reconstructed using the Shannon sampling arranged from the
readings of the field at the plane
,
if
is the function with a finite spectrum, or if the sampling of
readings is performed within the domain bearing the most part of
energy of the field
[see, for example, ref. 59]. The maximal spacing between the readings
coincides, within the framework of the optical interpretation of the
Shannon theorem, with the correlation length of the field,
,
at the plane
.
The image close to
is reconstructed even in the case, when the spacing between readings
is not constant, being undergoing random changes, but the mean
magnitude of the spacing equals
[59].
Assume that the area, where transfers the most part of energy, contains amplitude zeroes of a field. It is known [9,12] that in most cases average distance between amplitude zeroes equals .
Consider
some sampling of the point sources within this area with random
coordinates
.
For that, amplitude and phase of these sources,
,
equals amplitude and phase of the field at points
,
and the number of sources equals the number of vortices. We will
refer to such a sampling as random
one. It can be described in the following form:
.
(1.37)
Taking into account that an average distance between the readings is (as the number of them equals the number of vortices), one expects that the sampling (1.37) will reconstruct the field close to .
T
a b
c
Figure
1.17.
(a)
– original
image of the test-object;
(b)
– reconstruction
of the original field using the Shannon sampling;
(c)
– reconstruction
of the original field using a “random” sampling.
he
results of computer simulation of the process of reconstruction of
the test-field
are shown in Figure 1.17. We use as a test-field the set of randomly
located point sources of the unitary amplitude, whose phase is
randomly changed within the limits much exceeding
.
Loci of the sources are specified in such a manner that an “image”
resembles three vertical bars, cf. Figure 1.17(а). Figure 1.17(b)
and Figure 1.17(c) illustrate, respectively, the reconstruction using
the Shannon sampling, and the reconstruction using a random sampling.
Spatial
spacing of readings was specified in the following manner. In the
case of the Shannon sampling, spacing of the readings,
,
does not exceed the correlation length of the field,
,
in agreement with the Shannon theorem [59]. In the case of “random”
sampling, the coordinates of readings are determined in random
manner. An average spacing of the readings,
,
is also equals
.
Correct reconstruction of the initial field is possible in this case
[59].
Assume that
the positions of point sources of a random sampling are shifted in
respect to the positions of the vortices at
.
For determinicity, assume that the direction of shift coincides with
the
-axis.
W
Figure
1.18
e
refer to such a sampling as the “shifted” sampling. While the
field
is random, then the positions of vortices,
,
are random also. Thus, such a sampling does not differ in statistical
parameters from the sampling (1.37). Following, one can expect that
such a sampling will provide the image of the field
similar to the image shown in Figure 1.17(c). It is not quite true,
however [59]. First of all, the net of vortices of the field
consists, in general, from anisotropic vortices. Nevertheless, the
system of such vortices can be replaced, within accuracy
,
by the system of isotropic vortices, cf. subsection 1.2.1. Such
replacing is similar to the situation, when a transparent
plane-parallel plate with slightly changed thickness in the areas of
small amplitude is placed in the beam, see Figure 1.18. Obviously,
the field behind such a plate leaves almost unchanged, and the
inverse Fourier transformation will result in reconstruction of the
image of
.
Assume
to be of small magnitude, and amplitude obeys linear approximation in
the vicinity of amplitude zeroes. In this case
,
(1.38)
where
is the amplitude factor determining the behavior of amplitude, viz.
the gradient of amplitude, in the vicinity of the
-th
zero into
-direction.
The field formed by the reconstructing sampling at the image plane is
the Fourier image of the field
,
being described as
,
(1.39)
where
are the coordinates of zeroes,
are the numbers of positive and negative vortices, and
is the initial phase of the
-th
vortex. It can be seen from Eq. (1.39) that
,
within the constant factor
,
does not depend on
.
If
,
then
does not depend on
also.
Let us replace the sampling (1.37) by the following system of elementary fields:
,
(1.40)
where
is the averaged over the vicinity of the
-th
vortex magnitude of
,
and
(in polar coordinates
with the origin at the vortex center) is of the form:
,
(1.41)
where
is the “vortex” amplitude function, which equals zero at
.
In this case, Eq. (1.39) is transformed to the form:
,
(1.42)
where
,
,
,
and approaches
,
if the spatial domain
is small (see Appendix 1.2). Note that the representation of the
reconstructing field by Eq. (1.37) can be interpreted as some
sampling from the field (1.39).
Thus,
intensities of the reconstructed fields are in both cases modulated
by the function that is analogous to
.
Such “vortex” modulating function vanishes at
and grows monotonically as point of observation removes from
.
The results
of computer simulation of the image reconstruction using a shifted
sampling are represented in Figure 1.19. One can see that, indeed,
the field reconstructed on such a sampling is modulated by the
function kind of
.
To emphasize the radial symmetry of the modulating function, a white
ring is inserted in the reconstructed image, cf. Figure 1.19(c).
Figure 1.19(b) explains the principle of formation of the shifted
sampling. The shift of sampling coordinates is performed in
directions of both the
-axis
and the
-axis.
One can see in Figures 1.19(c)-(e) that the reconstructed field
remains almost unchanged, if the shift does not exceed 0.5
.
Even if
0.75
,
cf. Figure 1.19(f), dark area is observed at the center of the image.
Only when the shifts exceed
,
cf. Figures 1.19(g),(h), the field reconstructed using the shifted
sampling becomes similar to the field reconstructed by the random
sampling, i.e. the influence of the vortices on the field
Figure
1.19.
Reconstruction of the test-field using the shifted sampling.
(a)
– original image; (b)
–
Illustrating
the principle of formation of the shifted sampling;
– grey points correspond to the positions of amplitude zeroes,
black points indicate the positions of the readings of a sampling,
– shift of the readings in respect to the vortex coordinates;
(c)-(h)
correspond to various magnitudes of
:
(c)
– 0.1
;
(d)
– 0.25
;
(e)
– 0.5
;
(f)
– 0.75
;
(g)
–
;
(h)
– 2
.
structure
becomes negligible, and the shifted sampling is transformed to the
random one. In other words, the reconstructed field “remembers”
that it has been formed by the point sources whose phases are
determined by the phase helicoids of the vortex structure, if the
shift of the reconstructing sampling does not exceed
.
Thus, the analysis of the results of field reconstruction using the shifted sampling enables to conclude that the “phase” influence of individual vortex is extended over the distanceof the order of magnitude of the correlation length of a field.
