Applied Statistics - Week 6

The following is a description of what we will go through during this week of the course. The chapter references and computer exercises are considered read, understood, and solved by the end of the week or when otherwise stated.

Monday:
Calibration and use of control channels plays a fundamental role in a lot of analysis work, and Monday's exercise will thus be an example of this challenge.
Reading:

Barlow, chapter 1-8.
Lecture(s):

None. Computer Exercise(s):

Calibration.py and control channel data.

Tuesday:
The final main subject we will treat in this course is that o MultiVariate Analysis (MVA), i.e. analysis involving many variables. The typical challenge is to separate candidates into two or more categories, but calibration is also possible.
We will work on this Tuesday and Friday, first introducing the linear case, and then continue with the more general problem.
Reading:

None.
Lecture(s):

AS2014_1007_MultiVariateAnalysis1.pdf
Computer Exercise(s):

2par_discriminant.py

fisher_discriminant.py and data.


Friday:
We will continue with MultiVariate Analysis.
Reading:

None.
Lecture(s):

AS2014_1010_MultiVariateAnalysis2.pdf
Computer Exercise(s):

MVA_train_discriminant.py and
two TMVA files: TMVAGui.C and TMVAlogon.C

Data samples:DataSample.root, atlas_test_beam_data.root Higgs14TeV.root, ZZ14TeV.root

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Last updated: 9th of October 2014.