Lectures
Laboratory
(Day and time will be set at the first meeting)| Sec. 1 | Wed | 2-6 | 306/307 SP |
| Sec. 2 | Thu | 9-1 | 306/307 SP |
Instructors
Grader
Text
Important Dates
References
| 1. | * | Baird, Experimentation: A Introduction to Measurement Theory and Experiment Design |
| 2. | |
Bevington, Data Reduction and Error Analysis for the Physical Sciences |
| 3. | |
Beyer, AIP Style Manual |
| 4. | |
Chambers, et al., Basic Vacuum Technology |
| 5. | |
Chen and Cook, Gravitational Experiments in the Laboratory |
| 6. | |
Coplan, et al., Building Scientific Apparatus |
| 7. | |
Day, How to Write and Publish a Scientific Paper |
| 8. | |
Day, Scientific English |
| 9. | |
Dunlop, Experimental Physics |
| 10. | * | Harnwell and Livingood, Experimental Atomic Physics |
| 11. | |
Hoag and Korff, Electron and Nuclear Physics |
| 12. | * | Jenkins and White, Fundamentals of Optics |
| 13. | * | Lyons, A Practical Guide to Data Analysis for Physical Science Students |
| 14. | |
Mark and Olson, Experiments in Modern Physics |
| 15. | * | Melissinos, Experiments in Modern Physics |
| 16. | * | Preston and Dietz, The Art of Experimental Physics |
| 17. | |
Richtmeyer, et al., Introduction to Modern Physics |
| 18. | |
Strong, Procedures in Experimental Physics |
| 19. | * | Taylor, An Introduction to Error Analysis |
Organization
Experiment Group Length of Time
1 1 2 weeks
2 1 2
3 2 2
4 2 2
5 2 2
6 2 or 3 3
LPE 8 hours
Experiment 1 and LPE are performed by each student individually.
The other experiments are carried out in teams of two students.
1. Laboratory experiments (written work) 66%
2. In-class tests 11%
3. Homework assignments 11%
4. Laboratory practical examination 12%
5. Student presentations extra 5%
Group 1
Group 2
Group 3
Report Contents
(1) Diagram (define and label variables)
(2) Method (procedure for taking data, experimental conditions,
special techniques and precautions)
(1) Graphs (title, variables, units, label scales, data point
symbols, error bars, equation of best fit)
(2) Tables
(3) Calculations (equations, numbers with units, answers to
correct number of significant figures)
(4) Error analysis (propagation of errors)
(1) Comparison with theory (model, accepted value)
(2) Errors (random and systematic error sources,
major source of error)
(3) Improvements (model, experimental method, analysis of data)
(4) Extensions (additional experiments)
(5) Discussion questions