Changes for page Richard Williams

Last modified by Ricardo Julio Rodríguez Fernández on 2026/06/15 19:48

From version 3.2
edited by Ricardo Julio Rodríguez Fernández
on 2026/06/14 08:59
Change comment: Update document after refactoring.
To version 13.1
edited by Ricardo Julio Rodríguez Fernández
on 2026/06/15 19:48
Change comment: Renamed from xwiki:SummerFellowships2026.VieitesDiaz_Maria_1.WebHome

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1 -César Cabrera Cordova
1 +Richard Williams
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1 -=== Communicating IGFAE Physics to new audiences ===
2 -==== Titor: [[Manuel>>https://igfae.usc.es/igfae/persoa/rey-pan-manuel/491/||target="_blank"]] Rey Pan ====
3 -==== Supervisor: [[Manuel>>https://igfae.usc.es/igfae/persoa/rey-pan-manuel/491/||target="_blank"]] Rey Pan
1 +=== Background Rejection in the Search for Λb⁰ → pKτ⁺τ⁻ at LHCb ===
2 +==== Titor: Richard Williams ====
3 +==== Supervisor: Richard Williams
4 4  ====
5 5  
6 -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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8 -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.
6 +The unobserved transition b → sττ is a promising probe to perform Lepton Flavour Universality tests and search for possible New Physics effects. In this project, the selected student will investigate signal and background characteristics in the decay Λb⁰ → pKτ⁺τ⁻ and develop strategies to maximize background rejection while preserving signal efficiency. The work will involve the use of modern machine-learning techniques, including BDTs, Neural Networks, and hyperparameter optimization tools such as Optuna, applied to realistic LHCb datasets.