FYS9505 – Methods and Instrumentation for Nuclear and Particle Physics

Schedule, syllabus and examination date

Choose semester

Changes in the course due to coronavirus

Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.

Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.

Course content

This course introduces methods for measurement and analysis for nuclear and particle physics. Furthermore, the course deals with complex detector systems, signal control, triggering and relevant computational tools for the field.

Learning outcome

After completing the course:

  • You know how different types of ionizing radiation interacts with matter and what processes are important in different energy regimes

  • You understand how ionization detectors, semi-conductor detectors and scintillator detectors work and how they are used alone and in multi-detector systems.

  • You have learned how data is read out and will have knowedge of electronics for modern detecors, including e.g. triggering and signal controle and coincidences.

  • You are able to use computer simulations to understand what is happening in a detection system, study detector response and signal background.

  • You can apply statistical methods and computational tools in interpretation of results from measurements and have sufficient knowledge about measurement techniques to assess detector usage in different situations.

  • You have knowledge of gamma spectroscopy, particle spectroscopy and electron spectroscopy for low energy applications.

  • You have knowledge of the structure of modern high energy experiments and their particular challenges (event selection, event reconstruction, simulations and data analysis), with ATLAS and ALICE at CERN as examples.

Admission to the course

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.

Overlapping courses

Teaching

The course stretches over a whole term with 2 hours lectures and 3 hours group teaching per week. The course includes practical lab exercises/computational and calculations problems.

This course includes mandatory lab exercises. Reports from two of the exercises must be approved in order to take the final exam.

In of the mandatory assignments you will go in-depth in a measurement related issue or an experimental setup. The assignment must be agreed upon directly with the course responsible.

As the teaching involves laboratory and/or field work, you should consider taking out a separate travel and personal risk insurance. Read about your insurance cover as a student.

Examination

Two lab reports which each counts for 10% of the grade for the course.

Final oral or written exam (4 hours) counts for 80% of the grade.

The form of the exam will be decided by the number of students in the course after the admission deadline.

This course has mandatory exercises that must be approved before you can sit the finale exam.

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.

Resit an examination

This course offers both postponed and resit of examination. Read more:

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Sep. 18, 2020 3:12:15 PM

Facts about this course

Credits
10
Level
PhD
Teaching
Autumn

If the course is offered, a minimum of four students is required for ordinary lectures to take place. If less than four students participate, an exam will be given, but one should not expect ordinary teaching.

Examination
Autumn
Teaching language
Norwegian (English on request)