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This course is a follow-up of the data analysis course PHY231. The course is worth 2 ECTS and is focussed on some more practical aspects of data analysis. The course will be split into two parts. The first half will be a set of three lectures with accompanying exercise sheets. The second half will be a three-week data analysis project with a report and presentations due in May. The schedule is shown below:
Time and location: Y36 K 08 on Tuesdays at 10:15-12:00
Zoom link for lectures: [here] Password communicated by email (please ask if you are not yet subscribed).
| Date | Notes |
|---|---|
| 22nd Feb | Lecture1 - Monte Carlo techniques (PDF, 23 MB) |
| 1st Mar | Exercise session - sheet01 (PDF, 193 KB) gauss_data (TXT, 2 KB) |
| 8th Mar |
Lecture2 - Numerical optimisation (PDF, 4 MB)
|
| 15th Mar | Exercise session sheet02 (PDF, 128 KB) signal_and_background.txt (TXT, 16 KB) |
| 22nd Mar | Lecture3 - Multivariate classification (PDF, 2 MB) |
| 29th Mar | Exercise session sheet03 (PDF, 112 KB) selection_skeleton.py (PY, 3 KB) signal.txt (TXT, 1 MB) background.txt (TXT, 1 MB) |
| 5th Apr |
Introduction to projects (PDF, 863 KB) ProjectI (PDF, 1 MB) (Tracking Detector) ProjectII (PDF, 158 KB) (Compton Scattering) ProjectIII (PDF, 174 KB) (Experiment design) ProjectIV (PDF, 212 KB) (Pion decay) |
| 12th Apr | Status updates |
| 10th May | Project reports due |
| 17th May | Project presentations |
| Patrick Owen: | Y36 J 22 | (044 63) 55817 | powen@physik.uzh.ch | |
| Abhijit Mathad: | CERN | da@physik.uzh.ch |
The course will be graded 1-6 with 50% of the grade coming from the exercise sheets and 50% coming from the project (report+presentations). A requirement to pass the course will be 50% of the marks from the exercise sheets and 50% on the project.
