Fitting Workshop / School

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Getting started with local computers (environment) for practical work

Highlight lecture: Systematic uncertainties in statistical data analysis

Introductory Lecture on Fitting I

Introductory Lecture on Fitting II

Mini lectures and practical work IV: Advanced fitting tool in ROOT (RooFit and others)

Mini-lectures and Practical Work I: Linear Least squares fit problems: constant, straight line, parabola & others, physics examples, clever parameter choice, solution by normal equations, parameter errors and correlations, fit quality tests, outlier rejection

Mini-Lectures and Practical Work II: Non-linear fit problems: e.g. fit of signal peak(s) on background, cases of small and large stats., systematic and correlated errors, Poisson vs gaussian approximation, other likelihood estimators

Mini-Lectures and Practical Work III: Extended fits with many parameters such as kinematic constraint fits, e.g. ttbar reconstruction

See you!

Welcome

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30/03/2009

31/03/2009

01/04/2009

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