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Last modified by Ricardo Julio Rodríguez Fernández on 2026/06/14 08:36
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Summary

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1 -Manuel Rey Pan
1 +Xabier Cid Vidal and Alberto Martínez Armas
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1 +SummerFellowships2026.WebHome
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1 -=== Communicating IGFAE Physics to new audiences ===
2 -==== Supervisor: Manuel Rey Pan
1 +=== Machine Learning for Long-Lived Particle Searches at CODEX-beta ===
2 +==== Supervisor: Alberto Martínez Armas
3 3  ====
4 4  
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.
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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 +The study of Long-Lived Particles (LLPs) constitutes a promising path to find physics beyond the Standard Model. These particles are characterized by having a decay point far from the proton-proton collision point. CODEX-beta, located near LHCb at CERN, is a new detector prototype designed specifically to search for these displaced signatures. In this project, we will develop a Machine Learning algorithm capable of reconstructing trajectories from the detector data and extracting potentially discriminating variables. This approach will help discern between the LLP signal and the Standard Model background, significantly improving the search sensitivity.