FYS9505 – Methods and Instrumentation for Nuclear and Particle Physics

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.
  • understand how ionization detectors, semiconductor detectors, and scintillator detectors work and how they are used alone and in multi-detector systems.
  • have learned how data is read out and will have knowledge of electronics for modern detectors, including e.g. triggering and signal control and coincidences.
  • are able to use computer simulations to understand what is happening in a detection system, study detector response, and signal background.
  • can apply statistical methods and computational tools in the interpretation of results from measurements and have sufficient knowledge about measurement techniques to assess detector usage in different situations.
  • have knowledge of gamma spectroscopy, particle spectroscopy, and electron spectroscopy for low energy applications.
  • 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 extends?over a whole semester with the following teaching per week:

  • 2 hours of lectures
  • 3 hours of group teaching

The course includes calculation of problems, practical laboratory exercises, and data analysis using open-source data analysis frameworks based on C++, Python, and other programming languages.

This course has five mandatory assignments, out of which two must be approved before you can sit the final exam.

One of the mandatory assignments consists of a home assignment, where 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 fieldwork, you should consider taking out a separate travel and personal risk insurance.?Read about your insurance cover as a student.

Examination

  • Final oral or written exam, which?counts 100 % towards?the final 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 assignments that must be approved before you can sit the final exam.

It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: FYS4505 – Methods and Instrumentation for Nuclear and Particle Physics

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

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.

More about examinations at UiO

You will find further guides and resources at the web page on examinations at UiO.

Last updated from FS (Common Student System) Nov. 5, 2024 8:54:03 AM

Facts about this course

Level
PhD
Credits
10
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)