Data analysis II

Course structure

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

Podcasts

Lecturer/assistant

Patrick Owen: Y36 J 22 (044 63) 55817 powen@physik.uzh.ch  
Abhijit Mathad: CERN       da@physik.uzh.ch

Assessment

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.