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PHYS-F463

Quantum Collision Theory and Applications to Nuclear Reactions

academic year
2026-2027

Course teacher(s)

Michele SFERRAZZA (Coordinator) and Jean-Marc SPARENBERG

ECTS credits

5

Language(s) of instruction

english

Course content

  • Review of some nuclear physics concepts.
  • Introduction to nuclear reactions (units in nuclear physics, types of reactions, thresholds, cross sections, non-relativistic kinematic center of mass, center-of-mass and laboratory reference frames, interaction and detection).
  • Some reactions of astrophysical interest.
  • Elements of collision theory (stationary states and scattering amplitude, integral scattering equation, Born approximation and expansion, phase shift method—partial waves, resonances, Levinson’s theorem, low-energy behavior—generalization to multiple channels).
  • Reaction matrix method (theoretical and experimental).
  • Exercises of computer modeling. 

Objectives (and/or specific learning outcomes)

To provide an introduction to the physics of nuclear reactions. Methods for analyzing low-energy reactions. An introduction to reactions of astrophysical interest.

Prerequisites and Corequisites

Required and Corequired knowledge and skills

Quantum mechanics; nuclear physics. Notions of Python.

Teaching methods and learning activities

Slide presentation and/or blackboard. Exercises solving by computer modeling. 

References, bibliography, and recommended reading

References (books, articles) will be provided during the course.

For general nuclear physics
K.S. Krane, I ntroduction to nuclear physics, John Wiley & Son

 

For an introduction to quantum collision theory, see:

Joachain C., Quantum Collision Theory, North Holland 1987
 

For a general introduction to quantum mechanics (prerequisite), see:

Cohen-Tannoudji C., Diu D., Laloë F., Quantum Mechanics, Vol. I and II (Hermann, 1977) and III (EDP Sciences, 2019)

Basdevant J.-L., Dalibard J., Quantum Mechanics (École Polytechnique, 2008)

Course notes

  • Université virtuelle

Other information

Additional information

Any use of AI for the practical programming exercise must comply with the university's guidelines (see General Academic Regulations - Règlement général des études).

Contacts

Contact:
M. Sferrazza and J.M. Sparemberg

 

email:
michele.sferrazza@ulb.be
jean-marc.sparenberg@ulb.be

Campus

Plaine

Evaluation

Method(s) of evaluation

  • Oral examination
  • Oral presentation
  • Other

Oral examination

Oral presentation

Other

  • Oral exam.
  • Individual computer science exercise (contributing to the development of a graphical user interface, calculating a reaction rate, fitting experimental data, etc.).

Mark calculation method (including weighting of intermediary marks)

Oral exam (2/3), computer project (1/3)

Language(s) of evaluation

  • english
  • (if applicable french )

Programmes