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:
- Uncertainty and interpretation of measurements (09.04.2018)
- Description of data
- Probability (16.04.2018)
- PDFs
- Estimator (23.04.2018)
- Error propagation
- Fitting data (30.04.2018,07.05.2018)
- Interval estimation (14.05.2018)
- Hypothesis-tests (28.05.2018)
- Monte Carlo and random numbers (11.06.2018)
- Unfolding
- Multivariate analysis technics (18.06.2018)
- Boosted Decision Trees
- Likelihood, k-NN and Support Vector Machines (25.06.2018)
- Neural Networks (02.07.2018)
- Deep Learning (09.07.2018, 16.07.2018)
Exercises:
Date
Sheet
Material
10.04.2018
root-intro, werte.dat, duration.vec, a1_skel.C, moment_distributions.txt, calc_moments_skel.C
17.04.2018
24.04.2018
30.04.2018
07.05.2018
14.05.2018
28.05.2018
11.06.2018
18.06.2018
For correlated 2D Gaussians you can use CorRand.h.
26.06.2018
tmva.zip, testData.root, TMVAExample.C, testDataReg.root, TMVAExampleReg.C
11.07.2018
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