Physics307L:People/McCoy/FFormal: Difference between revisions

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==Figures==
==Figures==
[[Image:EDiff1.jpg|left|thumb|350px|'''Figure 3:''' Linear fit between D, the extrapolated height of the rings and SQRT(V_A), the square root of the anode voltage, in the small ring.  The error bars represent the uncertainty in the height due to the uncertainty in measurement and the uncertainty in the length of the tube.  The uncertainty in the length of the tube is the dominant term as it is approximately twice the uncertainty in measurement.  The fact that most of the data points have their error bars spanning the linear fit demonstrates the validity of the de Brogle hypothesis.]]
[[Image:EDiff1.jpg|none|thumb|350px|'''Figure 3:''' Linear fit between D, the extrapolated height of the rings and SQRT(V_A), the square root of the anode voltage, in the small ring.  The error bars represent the uncertainty in the height due to the uncertainty in measurement and the uncertainty in the length of the tube.  The uncertainty in the length of the tube is the dominant term as it is approximately twice the uncertainty in measurement.  The fact that most of the data points have their error bars spanning the linear fit demonstrates the validity of the de Brogle hypothesis.]]
[[Image:EDiff2.jpg|right|thumb|350px|'''Figure 4:''' Linear fit between D, the extrapolated height of the rings and SQRT(V_A), the square root of the anode voltage, in the large ring.  Because all the error bars span the linear fit, it demonstrates the validity of the de Broglie hypothesis, because as the wavelength of a particle is related only to its momentum, the higher velocity of the particles, which is related to the anode potential, will decrease the wavelength, resulting in the particles diffracting through the smaller gaps in the graphite crystal lattice, which results in a larger ring.]]
[[Image:EDiff2.jpg|none|thumb|350px|'''Figure 4:''' Linear fit between D, the extrapolated height of the rings and SQRT(V_A), the square root of the anode voltage, in the large ring.  Because all the error bars span the linear fit, it demonstrates the validity of the de Broglie hypothesis, because as the wavelength of a particle is related only to its momentum, the higher velocity of the particles, which is related to the anode potential, will decrease the wavelength, resulting in the particles diffracting through the smaller gaps in the graphite crystal lattice, which results in a larger ring.]]


==Results and Errors==
==Results and Errors==

Revision as of 12:37, 13 December 2008

An analysis of the Graphite Crystal Lattice from Electron Diffraction

Author: Chad A. McCoy

Experimentalist: Chad A. McCoy


University of New Mexico

Department of Physics and Astronomy

Albuquerque, NM 87131

cmccoy1@unm.edu

Abstract

In this experiment, I measured the internal lattice spacing of graphite using the properties of electron diffraction and measuring the rings formed by the diffracted electron beam at a known distance from the graphite lattice target. Making the measurement of the center-center ring diameter, allowed for me to form an extrapolated diameter as if the measurements were taken on a flat surface and calculate the spacing relative to each of the two diffracted rings. Doing so I calculated answers of d=.109(3)nm and d=.203(6)nm, compared to the accepted answers of d=.123nm and d=.213nm.


Introduction

Materials and Procedure

Data Procedure

Figure 1: Apparatus for electron diffraction experiment showing the two used power supplies and connections to the diffraction apparatus. The multimeter was wired between the positive high high voltage port (on the left side of the Teltron power supply) and the G7 port on the diffraction apparatus.
Figure 2: Connection schematic for electrical hookups between apparatus and power supplies. In the image, V_F corresponds to the heater voltage which was supplied by the 6.3V ports on the Teltron power supply, and the V_B corresponds to the bias voltage, supplied by the HP 6212 power supply.

Image Courtesy Professor Gold's Lab manual

To set up the experiment, I first got the electron diffraction apparatus (consisting of a Teltron 2555 electron diffraction tube and a Teltron 2501 universal stand) out of the storage closet. Then, going from the picture seen in Figure 1, I got the Teltron Limited 813 kV power unit and the Hewlett Packard model 6212B power supply so as to connect the power supplies to the apparatus. Using 4mm Banana cables, I hooked the apparatus up to the two power supplies, wiring a WaveTek Meterman 85XT digital multimeter in series between the high voltage ports on the power supply and the anode, so as to monitor the current. I had the multimeter wired in series so that i could monitor the current going to the anode, as it stated to not let it exceed .25mA, because the thin coating of graphite making up the diffracting grating would heat and puncture if the current running to it is too high.

With the apparatus connected according to Figures 1 and 2, I turned the Teltron power supply on, with the slider controlling the anode voltage set to zero, allowing the heater to warm up and begin emitting electrons. After waiting for approximately 1 minute, I slowly turned the anode voltage up using the slider, stopping at the maximum value, which corresponds to having the high voltage set at 5kV. After turning on the HP power supply, I began taking data points at the 5kV setting, with the odd numbered points corresponding to a bias voltage at 10V and the even numbered points corresponding to the bias voltage at 5V. To take the data points, I measured the ring height using analog calipers accurate to .001 inches and then converted the values to metric. (Note: As the bias voltage affects the overall voltage, I needed to slightly change the voltage on the high voltage supply to have the overall voltage remain constant.) Having done this, I repeated the data sets at 4.5kV, using bias of 5V and 2.5V, at 4kV, using bias of 2.5V and 0V, at 3.5kV, using bias of 1V and 0V, and at 3kV, using bias of 0V for all measurements, because it was too dim to see the ring without this bias.

On the day for taking additional data, I took five data values for each set corresponding voltage settings of 4.75kV, 4.25kV, 3.75kV, 3.25kV, and 2.75kV. With these five data sets, I used Carrera Precision digital calipers to measure the ring heights for both the inner and outer rings, and followed the same procedure in changing the bias between measurements as in the first day of the experiment, with the bias corresponding to the 4.5kV, 4.0kV, 3.5kV, 3.0kV, and 3.0kV respectively.

Analysis Procedure

Having taken all the data I extrapolated it to fit a flat surface, rather than a curved surface like the inside of the diffraction tube. In order to do this, I used the symbolic mathematics program Maple 11, and evaluated the extrapolation using the curvature of the tube, the length from the graphite to the end of the tube and the height of the rings on the curved surface. Doing this I came up with the equation: [math]\displaystyle{ D=2{L} \mathrm{tan}(\frac{ {\mathrm{arcsin}}(\frac{h_{0}}{C})}{2}) }[/math] where L is the length of the tube, h_0 is the height of the ring on the curved surface, measured from the center of the tube, and C is the curvature of the surface of the tube.

With the formula developed, I was able to do the extrapolation of the heights using both Matlab 7.0.4 and Microsoft Excel 2007, and with that data set, I could

Figures

Figure 3: Linear fit between D, the extrapolated height of the rings and SQRT(V_A), the square root of the anode voltage, in the small ring. The error bars represent the uncertainty in the height due to the uncertainty in measurement and the uncertainty in the length of the tube. The uncertainty in the length of the tube is the dominant term as it is approximately twice the uncertainty in measurement. The fact that most of the data points have their error bars spanning the linear fit demonstrates the validity of the de Brogle hypothesis.
Figure 4: Linear fit between D, the extrapolated height of the rings and SQRT(V_A), the square root of the anode voltage, in the large ring. Because all the error bars span the linear fit, it demonstrates the validity of the de Broglie hypothesis, because as the wavelength of a particle is related only to its momentum, the higher velocity of the particles, which is related to the anode potential, will decrease the wavelength, resulting in the particles diffracting through the smaller gaps in the graphite crystal lattice, which results in a larger ring.

Results and Errors

Data

Ring Diameter (inches) for Anode Voltage
5 kiloVolts 4.5 kiloVolts 4 kiloVolts 3.5 kiloVolts 3 kiloVolts
Trial # Ring 1 Ring 2 Ring 1 Ring 2 Ring 1 Ring 2 Ring 1 Ring 2 Ring 1 Ring 2
1 0.839 1.576 0.945 1.662 0.966 1.780 1.023 1.944 1.181 2.064
2 0.856 1.559 0.909 1.651 0.976 1.753 1.044 1.960 1.133 2.022
3 0.882 1.580 0.922 1.681 0.946 1.778 1.059 1.963 1.173 2.021
4 0.895 1.575 0.928 1.652 0.942 1.784 1.063 1.976 1.127 2.031
5 0.898 1.586 0.960 1.655 0.973 1.736 1.024 1.941 1.156 2.051
6 0.859 1.595 0.913 1.659 0.984 1.748 1.021 1.938 1.128 2.061
7 0.863 1.572 0.891 1.664 0.988 1.759 1.022 1.956 1.161 2.054
8 0.886 1.582 0.915 1.662 0.942 1.781 1.039 1.941 1.131 2.064
9 0.884 1.580 0.922 1.661 0.981 1.755 1.052 1.936 1.121 2.072
10 0.871 1.599 0.914 1.662 0.939 1.766 1.026 1.947 1.101 2.003

Table 1: Original Data - The data in this table corresponds to the 10 individual data points taken for each data set using the analog calipers accurate to .001 inches during the first two days of the experiment. With this data, I first converted it to metric values than used its mean and standard error to calculate the lattice spacings listed in Table 3.

Ring Diameter (mm) for Anode Voltage
4.75 kiloVolts 4.25 kiloVolts 3.75 kiloVolts 3.25 kiloVolts 2.75 kiloVolts
Trial # Ring 1 Ring 2 Ring 1 Ring 2 Ring 1 Ring 2 Ring 1 Ring 2 Ring 1 Ring 2
1 22.59 41.16 24.01 44.06 25.31 48.01 25.43 51.23 28.08 53.79
2 21.71 41.11 23.19 43.49 24.82 46.99 25.98 50.11 28.78 54.98
3 22.24 41.03 23.64 43.76 24.76 47.45 26.13 51.43 28.36 54.43
4 21.95 40.79 22.86 44.30 24.90 47.70 25.87 50.78 30.23 53.93
5 22.57 40.87 23.79 43.48 24.91 47.62 25.66 51.06 29.56 54.07

Table 2: Additional Data - The data in this table corresponds to the 5 data points that I took using the Carrera Precision digital calipers for each of the 5 values of the voltage so as to form an interpolant to my original data set, allowing me to have a more continuous range of data rather than 5 data sets with spacing of .5kV between each set.


To calculate the spacing distance I used the formula: [math]\displaystyle{ d=\frac{2{L}{h}}{D\sqrt{2{m_{e}}{e}{V_{a}}}} }[/math] with [math]\displaystyle{ D=2{L}{tan(\frac{arcsin(\frac{h_{0}}{C})}{2})} }[/math] in which [math]\displaystyle{ V_{a} }[/math] is the anode voltage, [math]\displaystyle{ h_{0} }[/math] is the uncalibrated height of the rings, L is the distance from the graphite to the end of the diffraction tube, and C is the radius of curvature of the diffraction tube.

I did my calculations using the program MatLab, with the results published to a word file that can be accessed here

Final Result

Calculated spacing by voltage
Voltage d (outer) d (inner)
3kV .1081nm .1993nm
3.5kV .1053nm .2034nm
4kV .1097nm .2051nm
4.5kV .1019nm .2023nm
5kV .1102nm .2027nm

From these values I was able to find the mean and standard error of the mean, and by doing so I was able to develop a confidence interval in which the known value should lie. By doing that I came up with the final value for the lattice spacing of: [math]\displaystyle{ d=.109(3)nm }[/math] and [math]\displaystyle{ d=.203(6)nm }[/math]

The error margin given in my final answer is that of one standard error of the mean, thereby being a 68% confidence interval for the "true" value.

Comparing my answers to the accepted values of [math]\displaystyle{ d=.123nm }[/math] and [math]\displaystyle{ d=.213nm }[/math], it can be seen that for the larger spacing, my answer of [math]\displaystyle{ d=.203(6)nm }[/math] holds the accepted value within 2 standard errors of the mean, as that produces the range [math]\displaystyle{ d=[.191nm, .215nm] }[/math]. On the other hand, the accepted value [math]\displaystyle{ d=.123nm }[/math] is more than 4 standard errors away from my value as it lies 4.67 standard errors above the mean, meaning that if my values were correct, the accepted value would be found less than 1/1000th of the time.

Errors

The errors that I used in my calculations were the standard error of my data points, and the error in the length of the tube. I did not use the error in measurement as that would involve a subjective approximation of an error and not a statistical error.

Conclusion

Results

Errors

The errors that would have affected this experiment are the actual measurement of the ring diameter, the accuracy of the power supply and bias, the alignment of the rings relative to center of the phosphorescent coating on diffraction tube.

Other

Acknowledgements

I would like to thank my lab professor, Dr. Steven Koch, and the lab assistant, Aram Gragossian, for all their help fixing the different apparatus if I was getting incorrect data. I would also like to thank the UNM Physics Department for allowing us to use the lab and providing the apparatus so that we can operate.

References