FYSS4456 Experimental Methods in Particle Physics (5 cr)

Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Department of Physics
Curriculum periods:
2020-2021, 2021-2022, 2022-2023

Description

  • ROOT data-analysis packet

  • Generating proton-proton collisions using PYTHIA event generator

  • FastJet computing packet

  • Simple Monte Carlo –simulations

  • Invariant mass method

  • Two-particle correlations

  • Jet rekonstruction in proton-proton collisions  

Learning outcomes

At the end of the course the students are able to:

  • Create analysis macros to ROOT environment with C++

  • Create and use basic object and their services in ROOT environment, particularly histograms, functions, graphs and trees.

  • Find information on objects and how to use them from www-documentation

  • Create simple Monte Carlo -simulations

  • Simulate proton-proton collisions with PYTHIA event generator and pick up particles to own analysis code

  • Understand connection between two-particle correlations and jets

  • Can form two-dimensional correlations function from PYTHIA events and understand the basic properties of its projections

  • Can use FastJet –packet to reconstruction of jets and pick up individual jets and/or its constituents to own analysis

  • Understand the invariant mass method and can apply it to reconstruction of neutral pions

  • Can explain what one means with Minimum Bias and rare triggers in proton-proton events

  • Understands in qualitative level the single particle efficiency corrections caused by the imperfections of the detectors.More precisely, student can apply the given corrections in his/her analysis and knows their background, but cannot yet determine the corrections 

Description of prerequisites

  • FYSA2031-FYSA2032 Quantum mechanics A&B and foundations of special relaticity

  • Recommended: particle physics, can be studies simultaneously

  • Programming experience with some object oriented language 

Study materials

  • Lectures and lecture material in www

  • Documentation of ROOT, FastJet and PYTHIA 

Completion methods

Method 1

Evaluation criteria:
10 % from pre-assignments, 40 % from weekly exercises and 50 % of project work. Student must receive at least half of the points from the project work to pass.
Time of teaching:
Period 3
Select all marked parts

Method 2

Description:
This completion method is intended for students for whom method 1 is not possible for specific reasons (e.g. living elsewhere, recommendation for individual study arrangements). Contact the teacher before enrolling to the course via this completion method.
Evaluation criteria:
50 % from weekly exercises and 50 % of project work. Student must receive at least half of the points from the project work to pass.
Select all marked parts
Parts of the completion methods
x

Teaching (5 cr)

Type:
Participation in teaching
Grading scale:
0-5
Evaluation criteria:
10 % from pre-assignments, 40 % from weekly exercises and 50 % of project work. Student must receive at least half of the points from the project work to pass.
Language:
English
Study methods:
  • Programming assignments and project work

  • Online lectures

  • Participation to small group meetings 

Teaching

x

Independent study (5 cr)

Type:
Independent study
Grading scale:
0-5
Evaluation criteria:
50 % from weekly exercises and 50 % of project work. Student must receive at least half of the points from the project work to pass.
Language:
English
Study methods:

Independent use of online lectures and material and doing exercises based on them. Project work. 

Teaching