Accepting PhD Students

PhD projects

Title: Searching for CP violation in electroweak penguin decays Data analysis has in recent years shown up a number of surprising measurements in the decays of b-hadrons with leptons in the final state. The so-called electroweak penguin decays are very sensitive to as-yet undiscovered new heavy particles and the measurements might be the sign of the next break-through in particle physics. A new method of analysing the data (Eur.Phys.J. C78 (2018) 453, https://inspirehep.net/record/1623024), has a very large sensitivity to CP violation that has not yet been explored. In the project, you will analyse data from the LHCb experiment at the Large Hadron Collider. Advanced computational techniques involving multi-threading, machine learning and multi-dimensional optimisation will be tools that you will become familiar with. Travel to CERN in Geneva will also be a part of the PhD. ================ Title: Artificial Intelligence algorithms for real-time processing at the Large Hadron Collider The LHCb experiment located at the Large Hadron Collider has been an incredibly successful. It has in recent years revealed hints for that the Standard Model of particle physics might not describe all phenomena. In particular there are signs that we do not have what is called lepton universality and that muons and electrons might behave differently. In order to understand this better, the LHCb experiment will go through a set of upgrades that will increase the available data by 2 orders of magnitude. The data processing requirements for this is a challenge that does not yet have a solution. In the project you will investigate how Artificial Intelligence algorithms might be implemented in Field Programmable Gate Arrays (FPGAs) that form the boundary between software and hardware. In particular you will look at how the data coming from an upgraded calorimeter can be translated into energies and arrival times of electrons in real-time at a processing rate of 40 MHz. Travel to CERN in Geneva will also be a part of the PhD.

19982020

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2019

Anomalous asymmetry

Egede, U., 1 Jul 2019, In : Nature Physics. 15, 7, p. 624-625 2 p.

Research output: Contribution to journalComment / DebateOtherpeer-review

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