Lecture on Data Analysis

Part of the courses physics master and computing and simulation in science.

Please refer to the modul-description (Ma.Phys/CSIS) for the contents.

Please register to the lecture on Wusel! See this HowTo

Lecture (2SWS, Wusel): Mon 10 c.t., F.13.15

Exercise (2SWS, Wusel): Wed 14:15, D.11.03

CORONA-Update: we will start with the lecture on 20.4.2020 via zoom.

Contents:

1. Uncertainty and interpretation of measurements (20.04.2020)
2. Description of data
3. PDFs (27.04.2020)
4. Estimator (04.05.2020)
5. Error propagation
6. Fitting data
7. Bayesian Probability (11.05.2020)
8. Interval estimation (18.05.2020)
9. Hypothesis-tests (25.05.2020)
10. Monte Carlo and random numbers (08.06.2020)
11. Resampleing methods (15.06.2020)
12. Unfolding
13. Multivariate analysis technics (22.06.2020)
14. Boosted Decision Trees
15. Likelihood, k-NN and Support Vector Machines (29.06.2020)
16. Neural Networks (06.07.2020)
17. Deep Learning (13.07.2020)

Exercises:

Date

Sheet

Material

22.04.2020

Exercise01

covariance.txt, hist.txt , example_simple.py

29.04.2020

Exercise02

06.05.2020

Exercise03

13.05.2020

Exercise04

20.05.2020

Exercise05

MLE.txt, FC-example.C, FeldmanCousins.py

27.05.2020

Exercise06

03.06.2020

Exercise07

10.06.2020

Exercise08

17.06.2020

Exercise09

24.06.2020

Exercise10

p.csv, fe.csv

01.07.2020

Exercise11

08.07.2020

Exercise12

data-40000.npz

Literature:

Glen Cowan, "Statistical Data Analysis", BUW-Bib, web-page

Roger Barlow, "Statistics: a guide to the use of statistical methods in the physical sciences", BUW-Bib

Olaf Behnke et al., "Data analysis in high energy physics: a practical guide to statistical methods", BUW-Bib, BUW online-edition

Martin Erdmann et al., "Statistische Methoden in der Experimentalphysik", BUW-Bib

Frederick James, "Statistical methods in experimental physics", BUW-Bib