Statistics Tools School 2011

4 Apr 2011, 13:00 → 8 Apr 2011, 12:30 Europe/Berlin

5th floor, Lorentz-Raum and Minkowski-Raum (Uni Mainz, Institut fuer Physik)

Frank Ellinghaus (University of Mainz), Gero Flucke (DESY), Stefan Tapprogge (Johannes Gutenberg-Universität Mainz), Thomas Schoerner-Sadenius (DESY)

The school aims at providing education for the most relevant statistics related tasks, problems and methods for physics data analysis in the LHC era. It is mainly targeted at Graduate (Diploma/Master) and PhD students. The sessions consist of lectures interleaved with "hands on" practical work (paper, computer exercises and/or tutorials). A guided tour to the MAMI accelerator and its experiments completes the program. The topics covered are: - General introduction: probabilities, basic distributions - Parameter estimation, likelihood fits, constrained fits - Limit determination - Data unfolding - Systematic uncertainties - Multivariate analysis techniques, TMVA - Optional: Bayesian Analysis Toolkit (BAT)

Monday 4 April

Welcome, Basics, Fitting 1

1 Registration

2 Welcome

Speakers: Dr Frank Ellinghaus (University of Mainz), Prof. Stefan Tapprogge (Johannes Gutenberg-Universität Mainz)

Slides Introduction.2011.pdf MainzWelcome.pdf

3 Lecture: Concepts of Statistics

Speaker: Prof. Roger Barlow (University of Manchester)

Slides Mainz-Barlow.pdf

15:45 Coffee break

4 Tutorial: Parameter estimation (Fitting) 1

Speaker: Dr Olaf Behnke (DESY)

Slides obehnke110404.pdf

5 Reception

Tuesday 5 April

Fitting 2

6 Tutorial: Parameter estimation (Fitting) 2

Speaker: Dr Olaf Behnke (DESY)

09:45 Coffee break

7 Tutorial: Constrained fitting

Speaker: Christian Sander (University of Hamburg)

Slides ConstrainedFits_2011.pdf exercises.pdf

Limits and discoveries

8 Tutorial: Limit setting

Speaker: Stefan Schmitt (DESY)

Slides LimitLecture.pdf

16:00 Coffee break

9 Tutorial: Limit setting II

10 Dinner

Wednesday 6 April

Unfolding and systematics

11 Lecture: Unfolding

Speaker: Prof. Günter Zech (Universität Siegen)

Slides

• unfold_mainz.ppt
• unfold_mainz.ppt
• unfold_mainz.ppt

10:15 Coffee break

12 Lecture: Systematics I

Speaker: Rainer Wanke

Slides Mainz_Lecture_Apr11.pdf

13 Lecture: Systematics II

Speaker: Rainer Wanke

Multivariate analysis 1

14 Tutorial: Multivariate Analysis Part I

Speakers: Mr Christoph Rosemann (DESY Hamburg), Helge Voss

Paper The pen&paper exercises

Slides The second part of the lecture, covering likelihood, pre-processing, Linear Discriminator and Neural Networks The first and third part of the MVA lecture.

15:30 Coffee break

15 Tutorial: Multivariate Analysis Part II

16 MAMI Guided Tour

Thursday 7 April

Multivariate analysis 2 and conclusion

17 Tutorial: Multivariate Analysis Part III

Speakers: Mr Christoph Rosemann (DESY Hamburg), Helge Voss

Paper The main exercises for (T)MVA The optional exercises for (T)MVA

Root Macro If you have trouble in exercise 4 with the plotting of the Decision Tree, please download and replace the macro in with the version here. (You may need to delete the compiled versions BDT_C.d and BDT_C.so before it takes effect)

Slides TMVAIntroductionMainz2011.ppt

10:30 Coffee break

18 Tutorial: Multivariate Analysis Part IV

Special session: Bayesian Analysis Toolkit 1

19 Tutorial: Bayesian Analysis Toolkit (BAT) Part I

Speakers: Fabian Kohn (II. Physikal. Institut; Georg-August-Universitaet Goettingen), Ms Julia Grebenyuk (DESY), Shabnaz Pashapour (University of Goettingen)

Slides BATtutorial1.pdf SPASHAPOUR_MainzStatSchool2011.pdf

16:00 Coffee break

20 BAT Part II

Friday 8 April

Special session: Bayesian Analysis Toolkit 2

21 Tutorial: Bayesian Analysis Toolkit (BAT) Part III

Speakers: Ms Julia Grebenyuk (DESY), Shabnaz Pashapour (University of Goettingen)

Slides SPASHAPOUR_BATtutorial2.pdf

10:30 Coffee break

22 BAT Part IV