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.13.11

Exercise (2SWS, Wusel): Tue 8:30, D.11.03

Contents:

1. Uncertainty and interpretation of measurements (09.04.2018)
2. Description of data
3. Probability (16.04.2018)
4. PDFs
5. Estimator (23.04.2018)
6. Error propagation
7. Fitting data (30.04.2018,07.05.2018)
8. Interval estimation (14.05.2018)
9. Hypothesis-tests (28.05.2018)
10. Monte Carlo and random numbers (11.06.2018)
11. Unfolding
12. Multivariate analysis technics (18.06.2018)
13. Boosted Decision Trees
14. Likelihood, k-NN and Support Vector Machines (25.06.2018)
15. Neural Networks (02.07.2018)
16. Deep Learning (09.07.2018, 16.07.2018)

Exercises:

Date

Sheet

Material

10.04.2018

presence_01 sheet_01

root-intro, werte.dat, duration.vec, a1_skel.C, moment_distributions.txt, calc_moments_skel.C

17.04.2018

sheet_02

ex2_Q1.cxx, ex2_Q3.cxx

24.04.2018

sheet_03

ex3_Q1.cxx,

30.04.2018

sheet_04

07.05.2018

sheet_05

14.05.2018

sheet_06

ex6_Q1.cxx,

28.05.2018

sheet_07

ex7_Q1.cxx, ex7_Q3.cxx,

11.06.2018

sheet_08

ex8_Q1.cxx, ex8_Q3.cxx,

18.06.2018

sheet_09

For correlated 2D Gaussians you can use CorRand.h.

26.06.2018

sheet_10

tmva.zip, testData.root, TMVAExample.C, testDataReg.root, TMVAExampleReg.C

11.07.2018

sheet_11

TrainFunktion.py, TrainMass.py, 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

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