FYS9555 – Research-Based Particle Physics

Schedule, syllabus and examination date

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Course content

In this ”hands-on” particle physics course you will work through the process in which conservation laws and the gauge principle lead to the Standard Model of particle physics, a successful theory of electroweak and strong interactions. You will calculate standard model and new physics processes, make use of simulation tools, analyse real data from the Large Hadron Collider, and interpret the results by comparing your theoretical prediction with the experimental measurement.

Learning outcome

After the course, students are expected to:

  • have a detailed understanding of the structure in terms of gauge symmetry groups of the Standard Theory of particle physics
  • know how to apply the Higgs mechanism to break spontaneously the electroweak symmetry, and thus generate the masses of the weak gauge bosons and the fermions
  • take advantage of “hands on” experience to make detailed calculations of Standard Model and New Physics processes
  • make extensive use of computational tools, such as CompHEP, to calculate and simulate particle collisions and decays, and to confront the own calculations to the simulations and the available experimental results
  • access real and simulated LHC data through the CERN Open Data Portal, learn and use analysis, statistical and simulation tools to perform various state of the art particle physics analyses.
  • study proton-proton collisions and exploit the potential of the Large Hadron Collider in terms of precision measurement of the production and decay of standard model particles, search for new physics phenomena
  • read and discuss publications related to High Energy Particle Physics, and explain how the authors arrived to the results.

Admission

PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.

If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.

PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.

Teaching

The course will incorporate lectures, projects, demonstrations and guided practical sessions, data analysis and the use of statistical methods.

There are two hours of lectures each week, and two hours of practical work.

The course also includes two smaller projects during the semester, as well as a bigger final project with a complete project rapport. All three projects will count towards your final grade.

Examination

An exam in the form of two projects, weighted 17% each, 34% total.

An exam in the form of a final project rapport weighted 33% of the grade

A final oral exam, weighted 33% of the grade. The oral exam includes a presentation of the final project.

Examination support material

No examination support material is allowed.

Language of examination

Subjects taught in English will only offer the exam paper in English.

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Explanations and appeals

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed exam at the beginning of the next semester.

New examinations are offered at the beginning of the next semester for students who do not successfully complete the exam during the previous semester.

We do not offer a re-scheduled exam for students who withdraw during the exam.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Facts about this course

Credits

10

Level

PhD

Teaching

Every spring

Examination

Every spring

Teaching language

Norwegian (English on request)