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Last modified by Ricardo Julio Rodríguez Fernández on 2026/06/14 08:31
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1 -=== Communicating IGFAE Physics to new audiences ===
2 -==== Supervisor: Manuel Rey Pan
1 +=== Searching for Sexaquark Dark Matter Candidates using Machine Learning at LHCb ===
2 +==== Supervisor: Brais Fernández Rodiño
3 3  ====
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5 -This project will explore new ways to communicate IGFAE’s strategic research areas—particle/astroparticle/nuclear physics, as well as Quantum IST, to young audiences. The goal will be to analyse the science communication & outreach on video formats, with some case studies (e.g. CERN, Fermilab, DESY, IFT, among others) to identify which formats, narrative structures and resources are more effective to communicate physics in an engaging way, whilst maintaining academic rigour.
6 -
7 -This analysis will be compared with the IGFAE’s social media activity, with the aim of proposing new ideas & approaches to help improve the Institute’s outreach activities in this area, in line with the 2025–2030 Communication Plan.
5 +Current evidence points to the abundant presence of Dark Matter in the Universe, but most candidates fall outside the Standard Model. However, recent research suggests the existence of "Sexaquarks", extremely tightly bound six-quark states within the Standard Model that fulfill the constraints to be Dark Matter candidates. The LHCb experiment, highly specialized in the detection of decays containing "bottom" quarks, provides a unique opportunity to discover them. In this project, we will develop Machine Learning algorithms to discriminate signal from background in LHCb Run 3 data with the objective of searching for these promising Sexaquark candidates.