Abstract
How far would you have to travel so that the light of the full sun would provide "daylight" no brighter than twilight on Earth? This project describes a method to verify the inverse square law: how light, sound, electrical signals, and gravity each decrease with distance from their source. When you have finished your experiment, you can use your results to calculate an answer.Objective
The goal of this project is to use an electronic photosensor to verify that the inverse square law applies to light. In other words, verify that intensity of light decreases in proportion to the square of the distance from the light source.
Introduction
As you move away from a light source, the light gets dimmer. No doubt you've noticed this with reading lamps, streetlights, and so on. The diagram at right shows what is happening with a picture. At the center, the yellow star represents a point source of light. Imagine the light from the star spreading out into empty space in all directions. Now imagine the light that falls on a square at some arbitrary distance from the star (d = 1, yellow square). Move away, doubling the distance from the star (d = 2). The light from the original square has now "spread out" over an area of 4 (= 22) squares. Thus, at twice the original distance, the intensity of the light passing through a single square will be 1/4 of the original intensity. Going out still further, tripling the original distance (d = 3), and the light from the original square now covers an area of 9 (= 32) squares. Thus, at three times the original distance, the intensity of the light passing through a single square will be 1/9 of the original intensity. This is what is meant by the "Inverse Square Law." As you move away from a point light source, the intensity of the light is proportional to 1/d2, the inverse square of the distance. Because the same geometry applies to many other physical phenomena (sound, gravity, electrostatic interactions), the inverse square law has significance for many problems in physics.
But don't just take our word for it! Why not see for yourself if light really behaves this way? This project shows you how you can use an inexpensive photosensor and digital multimeter to see if light intensity really does decrease according to the inverse square law.
You will use cadmium sulfide (CdS) photocells to measure light intensity (see Figure 1, below). CdS photocells act as light-sensitive resistors. The squiqqly stripe across the face of the photocell is the light-sensitive part. As the intensity of the light falling on the stripe increases, the resistance of the photocell decreases.
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| Figure 1. A selection of CdS photocells. |
One way to do the experiment would be to calibrate precisely how much the resistance changes with a given change in light intensity. Such a calibration would be difficult to perform accurately unless you had access to expensive test equipment (which you could use to do the experiment, instead of the CdS photocell, so there wouldn't be much point!). But there is another way to use the photocell that avoids the calibration problem.
The idea is to mask off (cover) a portion of the photocell so that only a fraction of the active area is exposed to light. With the mask in place, you make two measurements:
You can see that the experimental approach is analogous to the star diagram with which we started, above. Think of the squares as representing the exposed area of the photocell. At d = 3, a reading was taken with the sensor unmasked. Now if we move closer to the light source, what fraction of the sensor do we need to expose to the light in order to get the same reading? If the Inverse Square Law holds true, the answer is shown at d = 2: a matching reading would be obtained with 4/9 of the sensor area exposed. The ratio of the distances is 2/3, and the ratio of the sensor areas is equal to the distance ratio squared. Again at d = 1 (if the Inverse Square Law holds true), another matching reading would be obtained with 1/9 of the sensor area exposed. Now the distance ratio is 1/3, and again, the ratio of the sensor areas is equal to the distance ratio squared.
The Experimental Procedure, below, shows you how to mask off a variable fraction of the sensor area, and also how to measure the area of the sensor that is left exposed. You'll be able to see for yourself if the Inverse Square Law holds true for light!
Terms, Concepts and Questions to Start Background Research
To do this project, you should do research that enables you to understand the following terms and concepts:
Bibliography
Materials and Equipment
To do this experiment you will need the following materials and equipment:
Experimental Procedure
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| Figure 2. Diagram at left shows how projected light magnifies the width of the slit on the screen. The photo at right shows an example of a slit made with razor blades taped to cardstock. Also shown is a set of feeler gauges, which can be used (optional) to set the approximate slit width. | |
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| Figure 3. The photo on the left shows the slit attached to the front of the lantern flashlight. The slit image is projected onto a screen about 0.3 meter away. The photo on the right is the same view in the dark, showing the projected image of the slit (a little fuzzy in the photo). Measure the projected slit width and follow the instructions in the text to calculate the actual slit width. | |
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| Figure 4. The meandering stripe on the front of the CdS sensor is the active area. Measure the average width (see white arrows) of the sensor. The long axis of the slit should be aligned with the long axis of the photocell (turquoise line over orange photocell at lower left). The slit should be centered, and its width should not exceed the average width of the sensor. To calculate the fraction of the sensor area that is exposed, divide the slit width by the sensor's average width. |
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| Figure 5. The diagram is a schematic side view showing the set-up for measuring the resistance of the masked photosensor. Note that the lamp filament is oriented "end-on," parallel to the length of the slit. |
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| Table 1. Data in blue represent your measurements. Data in red and green are calculated from blue and plotted in Figure 5 as an example. (simulated data) |
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| Figure 5. Graph of the distance ratio vs. fraction of the masked sensor exposed (simulated data from Table 1). The equation shows the power-law regression fit and correlation coefficient (r2). |
Variations
Credits
Written by Richard Blish, Ph.D. 
Edited by Andrew Olson, Ph.D., Science Buddies
Thanks to David Aziz, Ph.D. for helpful suggestions on photocell measurement methods.
Last edit date: 2006-08-15 13:41:53
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