AST9240 – Cosmological Component Separation

Schedule, syllabus and examination date

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Course content

This course provides an overview of radio and microwave astronomy and observations in modern cosmology. It provides thorough training in Bayesian component separation with cosmological applications, emphasizing observations of the cosmic background radiation.

Learning outcome

After completing this course you:

  • will have basic knowledge of the physical processes of radio and microwave radiation from the Milky Way and other galaxies
  • will have knowledge of modern methods for component separation, including Bayesian parameter estimation
  • you will have an overview of relevant data sets for the analysis of cosmic background radiation and other cosmological signals, including COMAP, PASIPHAE, Planck, SPIDER, WMAP, etc.
  • you will know how to use the Commander software package to analyze observations of the cosmic background radiation

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 granted admissions to another higher education institution must apply for a position as a visiting student by 15th of June. It will not be possible to enroll in the course once teaching has started. For further information, please follow this link.

A maximum of 15 students per year. If the course has limited capacity, applicants from INTPART institutions in the Global Component Separation Network and students who have the course in their study plan at UiO will be given priority. It will not be possible to enroll in the course after teaching has started.

Overlapping courses


This is an intensive course with lectures and student-active group exercises. The course will last for two weeks with 20 hours of lectures and the rest of the time will consist of project work. During the project work, the student is expected to first reproduce a known component separation case and then expand this with a data set of their choice.

Teaching will take place during the last two weeks of August in the autumn semester. It will not be possible to sign up for classes once teaching has started. Students are expected to give an oral presentation of the project work at the end of the second week of the course. Students are also expected to submit a written report two weeks after completion of the course.

It is compulsory to attend all teaching activities in this course in order to pass the course.


During the course period, the student will prepare a major project assignment, which counts 100 % in the grade assessment. Results from the project assignment will first be presented orally at the end of the course period. Two weeks after completing the course, students must also submit a written report of the project assignment, which will be in the form of a home exam. The final grade is determined by an assessment of the project assignment.

It is compulsory to attend all teaching activities in this course in order to pass the course.

Examination support material

All support material is allowed during work with the project assignment and the home exam.

Language of examination

The examination text is given in English, and you submit your response in English.

Grading scale

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

Resit an examination

There is no postponed examination in case of illness or the like. If sickness or another valid reason prevents the candidate from completing the examination, this must be documented with a valid medical certificate or similar before the end of the course. The institute can determine whether a deffered submission and oral presentation can be granted.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) June 26, 2022 2:10:25 PM

Facts about this course

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