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Hands on fitting and statistical tools for data analysis

Oggetto:

Hands on fitting and statistical tools for data analysis

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Academic year 2023/2024

Teacher
Giacomo Ortona
Degree course
PhD in Physics
Teaching period
First semester
Type
Elective
Credits/Recognition
4
Course disciplinary sector (SSD)
FIS/01 - experimental physics
FIS/02 - theoretical physics, mathematical models and methods
FIS/03 - physics of matter
FIS/04 - nuclear and subnuclear physics
FIS/05 - astronomy and astrophysics
FIS/06 - physics of the Earth and of the circumterrestrial medium
FIS/07 - applied physics (a beni culturali, ambientali, biologia e medicina)
Delivery
Traditional
Language
English
Attendance
Obligatory
Type of examination
Practice test
Prerequisites
Make sure before the classes to have an account on the local machines, or bring your laptop with a ROOT/RooFit installation
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Sommario del corso

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Program

The class will have an exercise oriented approach, with quick reminders of the statistical theory and a large fraction of time dedicated to practical examples.

Fitting Tools
      Usage of the RooFit library:
      Signal and background modelling, fitting and plotting
      Treatment of extended Fits, Conditional Probability Density Functions, Toy Monte-Carlo generation

Statistics Tools
     Usage of the RooStats library:
     Hypothesis testing
     Determination of Upper Limits
     Determination of confidence intervals in likelihood ratio and Feldman-Cousins approaches
     Determination of probability intervals in Bayesian approaches
     Bayesian numerical calculators vs Markov-Chains MC approach 

Program of the lectures:

1)
Introduction
Statistical objects in RooFit
Workspaces

2)
RooMCStudies

3)
RooStats
Reminders of statistical concepts
Examples of likelihood functions
PDF slicing
Build a statistical model
Significance

4)
CLs
Upper limits
Significance
p-value

5)
Confidence intervals
Profile likelihood

6)
Systematics

7)
Feldman-Cousins
Coverage

8)
Final exercise

Suggested readings and bibliography

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Notes

Students wishing to take this course must register with the teacher via email

2023-2024 schedule: 
7, 11, 14, 18, 21 e 25 marzo
4 e 8 aprile
Aula Wataghin 10-12am

 

Enroll
  • Open
    Enrollment opening date
    02/11/2022 at 00:00
    Enrollment closing date
    15/09/2024 at 00:00
    Maximum number of students
    30 (Once this number of students is reached, enrollment will no longer be permitted!)
    Oggetto:
    Last update: 14/02/2024 15:31
    Location: https://www.phdphysics.unito.it/robots.html
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