Module also offered within study programmes:
General information:
Name:
Introduction to the Particle Physics Data Analysis
Course of study:
2018/2019
Code:
JFT-2-048-s
Faculty of:
Physics and Applied Computer Science
Study level:
Second-cycle studies
Specialty:
-
Field of study:
Technical Physics
Semester:
0
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
dr hab. inż. Grabowska-Bołd Iwona (iwona.grabowska@cern.ch)
Academic teachers:
dr hab. inż. Grabowska-Bołd Iwona (iwona.grabowska@cern.ch)
dr Palni Prabhakar (prabhakar.palni@fis.agh.edu.pl)
Module summary

This course aims at giving an introduction to data analysis collected by modern experiments of particle physics. Students will work with data collected by the ATLAS experiment at the LHC.

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Social competence
M_K001 Student is able to discuss about the importance of fundamental research FT2A_K01 Participation in a discussion
Skills
M_U001 Execution of laboratory classes FT2A_U02, FT2A_U01, FT2A_U04, FT2A_U03 Execution of laboratory classes
M_U002 Execution of project FT2A_U02, FT2A_U01, FT2A_U04, FT2A_U03 Execution of a project
M_U003 Active participation in seminars FT2A_U02, FT2A_U01, FT2A_U03 Participation in a discussion
Knowledge
M_W001 Execution of the project FT2A_W03, FT2A_W02, FT2A_W04, FT2A_W01 Project
M_W002 Presentation and discussion of project results FT2A_W03, FT2A_W02, FT2A_W04, FT2A_W01 Presentation
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Others
E-learning
Social competence
M_K001 Student is able to discuss about the importance of fundamental research - - + - - + - - - - -
Skills
M_U001 Execution of laboratory classes - - + - - - - - - - -
M_U002 Execution of project - - + - - - - - - - -
M_U003 Active participation in seminars - - + - - + - - - - -
Knowledge
M_W001 Execution of the project + - + - - - - - - - -
M_W002 Presentation and discussion of project results + - + - - + - - - - -
Module content
Lectures:
  1. Lecture 1: Brief introduction to Standard Model and Detectors (3h)

    1) Introduction to units, fundamental particles (quaks, leptons and bosons) and forces.
    2) Basic Feynman diagram and rules (e.g. Z→ee ) and Interactions of particles with matter
    3) Discussion of the principle of operation of the modern particle detector on the example of ATLAS experiment on LHC (Tracking detectors and Calorimeters)

    Demo: short video of LHC accelerator (10-15 min)

  2. Lecture 2: Measurement methods in particle physics (2h)

    1) Discussion of data analysis methods in particle physics: signal and background definition
    2) Event display and visualization
    3) Example: Z particle measurement with decay into two leptons

    Demo : Atlantis Event Display (10-15 min)

  3. Lecture 3: ATLAS Open Data Project (2h)

    1) Overview of the ATLAS Open Data project: characteristics of the data used
    2) Criteria used for event selection
    3) Definitions of selected kinematic variables used for data analysis (pt ,eta, phi, etc), luminosity, cross section, efficiencies etc
    4) Limitations of data used in the ATLAS Open Data project

  4. Lecture 4: Need of Monte-Carlo Simulation in Particle Physics (2h)

    1) Discussion on the understanding the performance of the detector using simulation
    2) Modelling the signal and expected background under the process of interest
    3) Advantage of MC truth information, calculation of systematic uncertainties etc.

  5. Lecture 5: Statistical methods Used Data Analysis (2h)

    1) Discussion on the statistical tools used in the data analysis
    2) Optimization of selection criteria to optimize the number of signal and background
    3) Discussion of kinematic variables and criteria for the selection of signal in the case with the Drell-Yan process or the production of top quark pairs

  6. Lecture 6: Data analysis tools (2h)

    1) Data format available: real and simulated cases
    2) Data analysis tools on the example of atlas-outreach-data-tools-framework
    3) Measurement of systematics and statistical uncertainty in particle physics

  7. Lecture 7: Data Analysis of Z->ee or/and W->mu nu (2h)

    1) Walk through the Data Analysis Strategy event selection
    2) Interpretation of plots, results, discussion and conclusions

Laboratory classes:
  1. Session 1: Introduction to tools and data used in HEP (3 h)
  2. Session 2: Hands on example of Project 1, using ATLAS open data project (3h)
  3. Session 3: Exercise for the Students Project 2 (3h)

    Project 1: Measurement of the Z boson
    1) Discussion of the Z-particle reference 
    
2) Discussion of the Z-particle selection criteria 

    3) The implementation of selected distributions of kinematic variables of the Z-particle breakdown products


    Project 2: Measurement of the W boson
    1) Discussion of the particle number signature W 

    2) Discussion of the W particle selection criteria 

    3) Implementation of selected distributions of kinematic variables of the W particle breakdown products


    Project 3: Measurement of pairs of top quarks
    1) Overview of top quark reference
    2) Discussion of quark selection criteria

    3) Execution of selected distributions of kinematic variables of quark decay products


    Project 4: Higgs particle measurement (Extra Creadits)
    1) Discussion of the Higgs particle signature 

    2) Discussion of the criteria for the selection of cases with the production of the Higgs particle 

    3) The implementation of selected distributions of kinematic variables of the Higgs boson breakdown products


    Project 5: Search for a signal from a new particle Z prim (Extra Creadits)
    1) Discussion of the particle reference Z ‘ 

    2) Discussion of the criteria of selection of cases with the production of the particle Z’ 

    3) The implementation of selected distributions of kinematic variables for candidates for the new particle Z’


Seminar classes:
  1. Seminar 1: Review topics and project results from the Standard Model domain (2h)
  2. Seminar 2: Review topics and project results from the Higgs and searches domain (2h)
Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 100 h
Module ECTS credits 4 ECTS
Participation in lectures 15 h
Participation in laboratory classes 21 h
Participation in seminar classes 4 h
Completion of a project 25 h
Realization of independently performed tasks 10 h
Contact hours 25 h
Additional information
Method of calculating the final grade:

Credits:

P – Participation 40 %
L – Laboratory participation + exercises 25%
P – Project 20%
S – Seminar 15%

The final mark (FM)
FM = 0.4 x P + 0.25 x L + 0.2 x P + 0.15 x S



Prerequisites and additional requirements:

Basic understanding of particle physics (not mandatory)
Knowledge of the basics of C++, python, linux OS (not mandatory)

Recommended literature and teaching resources:

References to literature and books:
1. Introduction to Elementary Particles:  by David Griffiths 2nd Edition
2. Introduction to High Energy Physics: by DH Perkins, PWN, 2005. 
3. Modern Particle Physics: by Mark Thomson 1st Edition

Scientific publications of module course instructors related to the topic of the module:

Full list of publications: http://inspirehep.net/author/profile/P.Palni.1

Additional information:

None