MPGDs for tracking and Muon detection at future high energy physics colliders
Abstract
In the next years, the energy and intensity frontiers of the experimental Particle Physics will be pushed forward with the upgrade of existing accelerators (LHC at CERN) and the envisaged construction of new machines at energy scales up to hundreds TeV or with unprecedented intensity (FCC-hh, FCC-ee, ILC, Muon Collider). Large size, cost-effective, high-efficiency detection systems in high background environments are required in order to accomplish the physics program. MPGDs offer a diversity of technologies that allow them to meet the required performance challenges at future facilities thanks to the specific advantages that each technology provides. MPGDs allow stable operation, with environmentally friendly gas mixtures, at very high background particle flux with high detection efficiency and excellent spatial resolution. These features make MPGD one of the primary choices as precise muon tracking and trigger system in general-purpose detectors at future HEP colliders. In addition, the low material budget and the flexibility of the base material make MPGDs suitable for the development of very light, full cylindrical fine tracking inner trackers at lepton colliders. On-going R&Ds aim at pushing the detector performance at the limits of each technology. We are working in continuing to consolidate the construction and stable operation of large-size detectors, able to cope with large particle fluxes. In this white paper, we describe some of the most prominent MPGD technologies, their performance measurements, the challenges faced in the most recent applications, and the areas of improvement towards efficient tracking and Muon detection at future high energy physics colliders.
Cite
@article{arxiv.2203.06525,
title = {MPGDs for tracking and Muon detection at future high energy physics colliders},
author = {K. Black and A. Colaleo and C. Aimè and M. Alviggi and C. Aruta and M. Bianco and I. Balossino and G. Bencivenni and M. Bertani and A. Braghieri and V. Cafaro and S. Calzaferri and M. T. Camerlingo and V. Canale and G. Cibinetto and M. Corbetta and V. D'Amico and E. De Lucia and M. Della Pietra and C. Di Donato and R. Di Nardo and D. Domenici and F. Errico and P. Everaerts and F. Fallavollita and R. Farinelli and G. Felici and D. Fiorina and I. Garzia and M. Gatta and P. Giacomelli and M. Giovannetti and S. Gramigna and R. Guida and M. Hohlmann and P. Iengo and M. Iodice and L. Lavezzi and M. Maggi and B. Mandelli and M. Melchiorri and J. A. Merlin and G. Mezzadri and P. Montagna and G. Morello and G. Papalino and A. Pellecchia and F. Petrucci and M. Poli Lener and R. Radogna and C. Riccardi and M. G. Rigoletti and P. Salvini and M. Scodeggio and G. Sekhniaidze and M. Sessa and F. M. Simone and A. Sharma and A. Stamerra and I. Vai and R. Venditti and P. Verwilligen and P. Vitulo and A. Zaza},
journal= {arXiv preprint arXiv:2203.06525},
year = {2022}
}
Comments
Contribution to Snowmass 2021