FYS9515B – Statistical Properties of Atomic Nuclei
Course description
Course content
Learning outcome
After completing this course, you can:
- describe gamma decay, both discrete and statistical, transition probabilities, and the gamma strength function.
- describe and explain the physics behind the fundamental statistical and thermodynamic models of the atomic nucleus.
- analyze experimental data using the "Oslo method" to extract nuclear level densities and gamma strength functions.
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.
Recommended previous knowledge
Overlapping courses
- 5 credits overlap with FYS4515B – Statistical Properties of Atomic Nuclei.
- 5 credits overlap with FYS4515 – Nuclear Physics I (discontinued).
- 5 credits overlap with FYS9515.
Teaching
Examination
- Final oral exam which counts 100 % towards the final grade.
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: FYS4515B – Statistical Properties of Atomic Nuclei
Grading scale
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
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.