## A brief study of pinhole diffraction## Introduction
In this mini-project, I studied the diffraction of a HeNe laser beam
through a 150 micron pinhole. I profiled the resulting Airy pattern with
a photodiode, fit the data using an intensity equation proportional to a
Bessel function in Mathematica, practiced imaging the pinhole at various
distances with different focal-lengthed lenses, and observed the effect of
using a high pass spatial filter to alter the image. I also spent some
time understanding how the Airy diffraction pattern is the Fourier
transform of the circular pinhole.
## Profiling the Airy PatternWe first practiced profiling the laser beam with a photodiode (connected to an AVO meter with a 100 ohm resistor) placed in the line of the Airy pattern. We started by sweeping the intensity of the center bright spot of the pattern on a moveable stage. At first the results we were getting seemed off—the sides of the center beam were Gaussian-esque, however the center seemed to just plateau at a constant value. Dr. Noé explained that the hole of the photodetector was too wide to make a fine measurement of the intensity across the small light spot. It turns out we had been measuring a convolution of the wide hole and the Gaussian shaped intensity of the beam, which (according to Fourier mathematics) appears as a square pulse with rounded edges. He also suggested that we use a much stronger resistor to make the AVO meter more sensitive to small changes in the intensity. So now with a 200-micron pinhole covering the photodiode and a 10 M ohm resistor in place of the other, we set to work at charting the intensity (in millivolts) across the central bright spot of the Airy diffraction pattern.
After becoming more comfortable with the process, we then decided to
collect additional data points in order to more clearly see what’s going
on in the wings of the graph. This time we collected intensity
information from the ## Modeling with Mathematica
With Mathematica, we first fit a Gaussian function to the data, found the
parameters for the equation (height, width, and central position), and
then graphed the data points and Gaussian curve on the same axes. While
the Gaussian fit obviously couldn’t account for the plurality of
lesser-intense concentric rings, it appeared to be a fair estimation of
the intensity of the central disk. But then after fitting an equation
proportional to a Bessel function to our Airy pattern intensity data, we
realized right away that it was a more suitable fit than the Gaussian one.
The left figure below shows the transverse intensity data (blue points)
with the Airy pattern intensity equation curve (green).
This function takes into account the aperture diameter, wavelength of the laser, and angular radius from the pattern maximum. Afterwards, we also plotted all three of these curves (blue points: data, green curve: Bessel function fit equation, red curve: Gaussian fit equation) on a semi-logarithmic plot (see right figure above). It was clear instantly that the data for the center Airy disk did not behave like the Gaussian curve, which was parabolic on these axes. ## Imaging the pinhole
We then experimented with different lenses to see the distances at which
we could focus the Airy diffraction pattern back down to create an image
of the pinhole (using the setup as seen in the figure below). For each
configuration, we used the thin lens equation to relate the reciprocals of
the distance of the object to the lens, the distance of the image to the
lens, and the distance of the focal length. And in each case, the results
were fairly accurate.
For instance, with the BSX085 lens (f = 20 cm): the object was 28 cm away,
the image 68 cm away, and the sum of their reciprocals was 0.0504
cm
Afterwards we tried sending the diffraction pattern across the length of
the lab and projected it onto the main door (which was 1317 cm from the
pinhole). We used different lenses at varying distances in the setup to
try to focus the image of the pinhole onto the door across the lab. We
achieved this with the BSX085 lens (f = 20 cm) at a distance of 21.6 cm
from the object and 1295 cm from the image. Using the lens equation, the
sum of the distance to object and to image reciprocals was 0.047
cm ## Fresnel Diffraction PatternsWhen we took another look at the Airy pattern and the image in focus at the opposite side of the lab, Dr. Noé showed us how you could see the Fresnel diffraction patterns as you move a piece of paper closer to the lens to observe the transverse plane of the beam. At a certain distance, there was a dark spot in the middle of a light ring, then a light spot in the center, etc. This pattern was what the lens was imaging right in front of the pinhole, and it alternated until you reached the image of the Fraunhofer diffraction zone.
We then saw something unexpected, which was that when we moved the paper
farther than the focused pinhole image, out of the lab to the wall across
the hall, we noticed the same alternating Fresnel patterns again. These
patterns were what the lens was presumably imaging on the other side of
the pinhole? But we weren’t exactly sure and had to do a little extra
research.
We found this
article that actually explains why we were seeing different patterns
over a certain distance behind the focused image of the pinhole.
Evidently with pinhole aperture diffraction, the classic Airy pattern is
only present at the point of paraxial focus, in other words the
intermediate image plane. The article contained an axial intensity
distribution plot (figure above) that showed why we were observing the
dark-center diffraction pattern at certain distances; there was also a
helpful demo to click through for a transverse representation of the
diffraction pattern at each of those distances (figure below). I thought
it was also interesting to note that there were more higher-order
diffraction rings at a distance ±6π from the point of paraxial focus than
there are in the classic Airy pattern at this paraxial focus point.
## Understanding Spatial FrequenciesIn a diffraction pattern, the high spatial frequencies contain information about the edges and details of an object, while the low spatial frequencies contain information regarding the overall quality of the object. The spatial frequency is the reciprocal of the wavelength, so in other words it is the rate of change in space. Therefore, if we were to think of an object as a 2D picture, at an edge where there is a more abrupt change, there is a steeper gradient. For instance, the edge detection technique used in image alteration makes use of this and finds the steepest gradient between neighboring pixels. On other areas of the object where there is no (or very slight) variation between pixels, the gradient would be zero (or very close).
With a pinhole, light propagating through has to bend at a greater angle
at the edge of the aperture. If a lens is placed one focal length away
(as seen in the setup below), these rays will be focused by the lens to
the outer sections of the diffraction pattern in the Fourier plane. In
the center of the aperture where light is transmitted unbent, the light
rights will be focused to the optical axis in the center of the
diffraction pattern. So the Airy diffraction pattern in the Fourier plane
is the Fourier transform of the pinhole: it’s a description of the
aperture in terms of its spatial frequencies.
By altering the diffraction pattern in the Fourier plane, we can alter how the pinhole will be imaged. Since the high spatial frequencies contain information regarding the edges of an object, we assumed that by adding a high pass filter we would see the pinhole image with a sharper border and maybe a darkened center. ## High Pass Filter
We then put a high-pass filter into the setup in order to see the effect
on the image. We created a circle of whiteout on a piece of transparency,
but no matter how uniform the circle looked to the eye, once we placed it
in the setup in front of the beam of light the shadow it created revealed
the whiteout shape’s uneven edges..
We configured the setup so that the pinhole image would be magnified enough for us to observe the effect of the filter. The image was similar to what we had expected: there was a bright circular ring of light with a dim inside, but it also seemed messy inside- with an extra softer ring of light and some speckle outside. This was probably due to the irregular shape of the filter and maybe some kind of aberration effect from the transparency sheet. ## Conclusion
The mini-project allowed me to explore the basic optics principles behind
the 4- |