2014
Welcome to Advanced Physics Lab 2014!
Instructors
Professor: Tobias Marriage (marriage@pha.jhu.edu), Office: Bloomberg 215
TAs: Ian Anderson (ianderso@pha.jhu.edu)
Lab Guru: Steve Wonnell (wonnell@pha.jhu.edu)
Wiki
This page (https://wiki.pha.jhu.edu/advlab_wiki/index.php/2014) is your source of much course-related knowledge. Useful materials will be distributed here.
Also check out general descriptions of labs and pages for previous years at
https://wiki.pha.jhu.edu/advlab_wiki/index.php
General Description
In this class, you you'll learn
- how to conduct an experiment, collecting data with special attention to estimating systematic and statistical measurement errors,
- how to model the data,
- and how to present your work through scientific writing.
These three aspects essentially define the course. Each lab will be evaluated based on how well the three aspects are realized.
Classes
Times: Monday 10:00-12:50 and 1:30-4:30
Classes will run in a seminar format. They will begin with a lecture followed by discussion and short updates on experimental work from students. A shared online directory (Google drive) will be used to upload update material.
At the beginning of a new experiment, an introduction to the new experiment will also be given in the class.
Experiments
Four experiments will be completed over the course of the semester, each taking three weeks. These experiments will start in the second week of the course. The experiments are
- Brownian Motion: A measurement of the brownian motion of microscopic spheres
- asdfs
Readings
Weekly readings will be assigned from this text:
Bevington & Robinson, Data Reduction and Error Analysis for the Physical Sciences, 3rd Edition, McGraw-Hill, ISBN 0-07-247227-8, 2003
Other Useful Texts
Data Analysis
- Press, Teukolsky, Vetterling, Flannery, Numerical Recipes in C (Available online)
- Lupton, "Statistics in Theory and Practice"
LaTeX
- Lamport, LaTeX: A Document Preparation System
- A Not Too Short Introduction to LaTeX: media:not_too_short.pdf
You might also find useful websites from previous years.