Optional Courses

Theoretical and experimental aspects related to dark matter and dark energy. Recent experimemtal methods and results. Unified dark universe picture involving particle physics, cosmology and astrophysics.

Study of the different sources which can be used to explore the Universe as a whole, as well as those mechanisms specifically related to structure formation and fundamental physics. We will pay special attention to new windows of observation, such as the one recently opened by gravitational waves, as well as to neutrinos and energetic particles such as cosmic rays, and not so much to the complementary information provided by electromagnetic radiation.

In this course the students will obtain knowledge on state of the art computing systems. This includes interaction with high performance, high throughput and cloud computing systems, going through the tools and techniques needed to work with them and understanding the different concepts needed to efficiently design their scientific applications.

Students will have the opportunity perform a research study within one of the research groups to which the faculty of this Master belongs. Whenever possible, students are encouraged to carry out this research in an area different from that of their Research Project.

Note: this course is part of the specialization module for those students who specialize in physics of the cosmos. However, it is also listed as an optional course for those students who specialize in particle physics.
Basics of the standard cosmological model, Frieddman equations, universe evolution, initial perturbations and their role in CMB fluctuations and large structure formation. Fundamental aspects of the largest structures of the universe and of data analysis in cosmology.

Note: this course is part of the specialization module for those students who specialize in particle physics. However, it is also listed as an optional course for those students who specialize in physics of the cosmos.
General overview of the different aspects and methodology involved in large particle physics experiments: data acquisition, data processing, Monte Carlo simulation (event generation and detector response), data analysis, publication of results.