Skip to Content

Team

Summer Fellowships

Procedures

Mailing lists

Last modified by Ricardo Julio Rodríguez Fernández on 2026/06/14 08:31
From version 2.1
edited by Ricardo Julio Rodríguez Fernández
on 2026/06/14 07:51
Change comment: There is no comment for this version
To version 4.1
edited by Ricardo Julio Rodríguez Fernández
on 2026/06/14 08:31
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -1,5 +1,6 @@
1 1  === Searching for Sexaquark Dark Matter Candidates using Machine Learning at LHCb ===
2 -==== Supervisor: Brais Fernández Rodiño
2 +==== Titor: [[Xabier>>https://igfae.usc.es/igfae/persoa/cid-vidal-xabier/159/||target="_blank]]" Cid Vidal ====
3 +==== Supervisor: [[Brais>>https://igfae.usc.es/igfae/persoa/fernandez-rodino-brais/507/||target="_blank"]] Fernández Rodiño
3 3  ====
4 4  
5 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.