7-12 June 2021
Europe/Paris timezone

Search for H→ ccbar at a Multi-TeV Muon Collider

Jun 10, 2021, 6:45 PM


Experimental poster Higgs physics Poster Session


Paola J Mastrapasqua (Universita e INFN, Bari (IT))


A Multi-TeV (√s=1.5-10TeV) muon collider providing O(1/ab)integrated luminosity will be a great opportunity to probe the most intimate nature of the Standard Model (SM) and the Electroweak Symmetry Breaking mechanism, allowing the precise measurement of the Higgs couplings to several SM particles. The study of the Higgs boson couplings to the second generations of fermions is of particular interest due to sensitivity to a whole class of new physics models. On the other end, this measurement is extremely challenging, because of the small branching ratio. We explored, for the first time, the search for H→ccbar at a multi-TeV muon collider. The μ+μ− →Hνν¯→ cc¯νν¯ signal process has been fully simulated and reconstructed with a preliminary detector design, along with the main backgrounds. A c quark-tagging algorithm has been developed, combining several observables in a single discriminator using Machine Learning techniques, with the goal to improve the rejection of jets coming from b-quark and u-d-s-g hadronization. A first estimate of the precision on the Higgs coupling with c-quark reachable with a muon collider machine will be presented.

Primary author

Paola J Mastrapasqua (Universita e INFN, Bari (IT))


Angela Zaza (Universita e INFN, Bari (IT)) Anna Colaleo (Universita e INFN, Bari (IT)) Donatella Lucchesi (Universita e INFN, Padova (IT)) Prof. Fabio Maltoni (Universite Catholique de Louvain (UCL) (BE) and Università di Bologna) Filippo Errico (University of Florida (US)) Laura Buonincontri (Universita e INFN, Padova (IT)) Lorenzo Sestini (Universita e INFN, Padova (IT)) Massimo Casarsa (INFN, Trieste (IT)) Nadia Pastrone (Universita e INFN Torino (IT)) Nazar Bartosik Rosamaria Venditti (Universita e INFN, Bari (IT)) Simone Pagan Griso (Lawrence Berkeley National Lab. (US))

Presentation materials