Thesis

Collider, gravitational and dark relics of Grand Unification with Deep Learning

• Call:

  PT-CERN Call 2021/1

• Academic Year:

  2021

• Domain:

  Astroparticle Physics

• Supervisor:

  António Morais

• Co-Supervisor:

  Roman Pasechnik

• Institution:

  Universidade de Aveiro

• Host Institution:

  CIDMA - Centro de Investigação em Matemática e Aplicações da Universidade de Aveiro

• Abstract:

  This proposal focuses on phenomenological aspects of vector-like fermions (VLFs), leptoquarks (LQs), exotic neutrinos and axion-like particles (ALPs) from the perspective of collider, dark-matter (DM) and Gravitational-Wave (GW) observables. These particles are well motivated by a recently proposed Grand Unified Theory (GUT) [1] and can offer a multi-messenger probe to test the GUT paradigm. We will focus on VLF and LQ signatures at the LHC, with the latter being relevant for RK anomalies, while sterile neutrino and ALP DM candidates can be tested at ALPs-II [2] or XENONnT (www.xenon1t.org/). Phase transitions in the early Universe may result in primordial GW at the reach of LISA or the future Big-Bang-Observer and Einstein-Telescope allowing to probe energy-scales that go from 1 to 10^4 TeV. The development of Machine Learning techniques based on neural networks (NN) and evolutionary algorithms [3] as well as new approaches such as graph NNs and generative models are central to this project and applicable beyond its scope.