Master Thesis

  Higgs decay © CERN

The new Master thesis topics in theoretical particle physics and cosmology for 2022-2023 will be presented jointly by all TTK professors - Profs. Czakon, Harlander, Krämer, Lesgourgues, Mertsch, Worek. The presentation will take place on Wednesday 29th of June, between 14:15 and 15:45, in hybrid mode, in room MBP2 117.

Thus, you are free to attend in person or to connect via zoom. If you have not received the zoom link please contact Prof. Dr. Worek. The detailed schedule reads:

14:15 - 14:30 - Michael Kraemer
14:30 - 14:45 - Julien Lesgourgues
14:45 - 15:00 - Philipp Mertsch
15:00 - 15:15 - Robert Harlander 
15:15 - 15:30 - Michal Czakon
15:30 - 15:45 - Malgorzata Worek   

After the meeting, you will have a few days for thinking about these topics, contacting us for more information, and applying to your favorite topics (with an order of preference). Then we will make offers. We will explain the whole process on the 29th.

 

 

Here are the topics offered at TTK:

Prof. Michal Czakon: slides

  • Double-soft limit of massive one-loop QCD amplitudes
  • Power corrections for top-quark pair transverse momentum distribution

Prof. Robert Harlander: more information

  • The gradient flow-formulation of QCD
  • Effective Field Theories to arbitrary orders
  • Renormalization of Effective Field Theories
  • Higgs production at the LHC

Prof. Michael Krämer: slides more information

  • Finding new physics with machine learning
  • Discovering physical laws with machine learning
  • Machine Learning applied to Gravitational Wave detection (with Prof. Lesgourgues)
  • Finding the sources of cosmic rays with machine learning (with Prof. Mertsch)

Prof. Julien Lesgourgues: more information

  • Preparing the analysis of future Euclid satellite data
  • Modelling the Dark Ages
  • Fitting cosmological data with the Effective Field Theory of large scale structures
  • Testing inflation and early universe scenarios with future CMB and Gravitational Wave observations
  • Variational parameter inference from cosmological data
  • Uncertainty-aware emulators
  • Machine Learning applied to Gravitational Wave detection (with Prof. Krämer)
  • Anisotropies in the stochastic background of gravitational waves (with Prof. Mertsch)

Prof. Philipp Mertsch: slides more Information

  • Anisotropies in the stochastic background of gravitational waves (with Prof. Lesgourgues)
  • The diffuse emission of the Galaxy at high energies
  • Non linear transport of the cosmic-ray spectra from stochastic sources
  • Finding the sources of cosmic rays with machine learning (with Prof. Krämer)

Prof. Malgorzata Worek: slides

  • Higgs production with top-quark pairs: Signal versus Background with Machine Learning
  • Jet algorithms for flavoured jet identification at the LHC
 

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