High Energy Astrophysics
General Information
Estimated learning time
Recommendations
Competences / Learning outcomes
Learning objectives
Teaching blocks
Teaching methods and general organization
Official assessment of learning outcomes
Reading and study resources
General Information
Course unit name | High Energy Astrophysics |
Course unit code | 568433 |
Academic year | 2024/2025 |
Coordinator | Marc Ribó Gomis |
Department | Department of Quantum Physics and Astrophysics |
Credits | 3 |
Single program | S |
Estimated learning time
Activities | Type of training | Hours | Observations |
---|---|---|---|
Face-to-face and/or online activities | 26 | ||
- Lecture | Face-to-face | 24 | |
- Lecture with practical component | Face-to-face | 1 | |
- Student presentation and discussion | Face-to-face | 1 | |
Supervised project | 25 | ||
Independent learning | 24 |
Recommendations
Competences / Learning outcomes to be gained during study
- Interpersonal competences
— Critical reasoning skills
— Systemic competences
— Skills to enable independent learning
— Capacity to adapt to new situations
Teaching blocks
1 Introduction
2 Particle acceleration and radiation mechanisms in high-energy astrophysics
3 Accretion and ejection in relativistic sources
4 Phenomenology of accreting sources with outflows
5 High-energy gamma-ray sources in the Universe
Teaching methods and general organization
The students attend classes on theory with the support of audiovisual material and are then given class summaries in electronic format to review the subjects covered. The teachers may give in-situ demonstrations of how to use private software to conduct simulations or model non-thermal radiation processes.
The students may also do hands-on sessions to learn to use high-energy astrophysics public software packages like the Python package Naima, which is used to compute non-thermal radiation from relativistic particle populations
For the purposes of assessment, the students complete, submit and orally present an assignment on high-energy astrophysics which is chosen by the teachers. They also sit an end-of-course written exam.
Official assessment of learning outcomes
The course assessment is weighted as follows.
Class participation: 20% of the final mark
End-of-course written exam: 30% of the final mark
Written work: 20% of the final mark
Oral presentation: 30% of the final mark
The same system is used for the repeat assessment