Last modified by Ricardo Julio Rodríguez Fernández on 2025/09/01 14:02

From version 6.1
edited by Ricardo Julio Rodríguez Fernández
on 2025/07/11 13:42
Change comment: There is no comment for this version
To version 7.1
edited by Ricardo Julio Rodríguez Fernández
on 2025/09/01 13:20
Change comment: There is no comment for this version

Summary

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13 13  * Analyse real data from LHCb, one of the main experiments of the Large Hadron Collider at CERN (the world’s largest and most powerful particle accelerator).
14 14  * Learn how ML is used for measuring LFU observables with better accuracy, by implementing tools such as neural networks, decision trees and more.
15 15  * Train and optimise their own ML models with different Python environments, which they could apply to other physical phenomena and beyond.
16 +
17 +----
18 +
19 +=== P1 - ML study for B->D* 3Pi decays ===
20 +
21 +This decay is used as the normalization channel for the semileptonic ratio R(D*), one of the LFU observables that is studied at LHCb. In this particular case, the D* meson decays into a pion and a D meson, which then decays into a kaon and three pions.
22 +
23 +----
24 +
25 +=== P2 - ML study for B->D 3Pi decays ===
26 +
27 +A related LFU observable is the semileptonic ratio of branching fractions R(D). One possible choice for the normalization channel is B->D 3Pi, where D decays into two pions and a kaon.
28 +