Changes for page Richard Williams

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1		-María Vieites Díaz
	1	+María Vieites Díaz and Richard Williams

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1		-=== A first look into 2026 LHCb data ===
2		-==== Titor: [[Camille>>https://igfae.usc.es/igfae/persoa/normand-camille-ann/676/||target="_blank"]] Normand ====
3		-==== Supervisor: [[Camille>>https://igfae.usc.es/igfae/persoa/normand-camille-ann/676/||target="_blank"]] Normand
	1	+=== Tau Reconstruction Strategies at LHCb ===
	2	+==== Titor: [[María>>https://igfae.usc.es/igfae/persoa/vieites-diaz-maria/201/||target="_blank"]] Vieites Díaz ====
	3	+==== Supervisor: Richard Williams
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6		-With the acquisition of new data at a faster pace than ever, maintaining and verifying its quality is of paramount importance for greater precision measurements and improved searches for physics beyond the Standard Model at LHCb. In this project, the student will give the very first look at the newly-acquired 2026 data, i.e. only a few months old, through the study of the decay B→KS J/ψ. This high-statistics channel allows for a very clear study of, on the one hand, reconstruction effects, providing results of great impact for the whole collaboration, and on the other hand, detailed aspects of signal selection tools such as ML algorithms and particle identification, directly contributing to a world-leading search for New Physics. In both aspects, the student will have the opportunity to develop their knowledge of standard Particle Physics techniques, as well as develop their own tools and measurables for data and simulation quality evaluations.
	6	+Rare decays involving tau leptons are currently one of the most exciting topics in particle physics, as they provide a unique opportunity to uncover hints of physics beyond the Standard Model. However, the reconstruction of tau leptons is one of the greatest experimental challenges in flavour physics, since their decays produce neutrinos that escape detection, severely degrading the resolution of key observables and increasing background contamination. In this project, the selected student will study both leptonic and hadronic tau decay modes, comparing their reconstruction performance using simulated LHCb data. Advanced analysis techniques, including Boosted Decision Trees, Neural Networks, and modern optimisation tools, will be used to maximise signal sensitivity and identify the most promising strategy for future measurements with tau leptons in the final state.