Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

MUSIC: A Multi-Purpose Detector Concept for Physics at the 10 TeV Muon Collider

Paolo Andreetto, Nazar Bartosik, Andrea Bersani, Daniele Calzolari, Massimo Casarsa, Vittoria Ludovica Ciccarella, Elisa Di Meco, Ruben Gargiulo, Alessio Gianelle, Carlo Giraldin, Karol Krizka, Anton Lechner, Luigi Longo, Donatella Lucchesi, Leonardo Palombini, Nadia Pastrone, Ivano Sarra, Lorenzo Sestini, Rosamaria Venditti, Davide Zuliani

TL;DR

MUSIC proposes a proof-of-concept multi-purpose detector for $ hissqrt{s}=10$ TeV muon collider collisions, addressing unprecedented machine-induced backgrounds via shielding and forward-optimized subsystems. It integrates a 5 T central solenoid, a layered tracking system, CRILIN ECAL, iron–scintillator HCAL, and a muon system, with an end-to-end software stack (Whizard, MadGraph, PYTHIA, FLUKA, GUINEA-PIG, Geant4, DD4hep, ACTS, PandoraPFA, FastJet, LCFIPlus) for object reconstruction. Performance benchmarks for electrons, photons, muons, jets, and jet flavour tagging are provided under realistic MIB conditions, showing high object efficiencies (often >90%) and manageable fake rates, even in a challenging background environment. The study demonstrates the detector concept’s potential to deliver precision Higgs measurements and BSM sensitivity at a multi-TeV muon collider, while outlining concrete avenues for IR optimization, forward instrumentation, and AI-driven reconstruction enhancements. Overall, MUSIC establishes a credible, technically grounded baseline detector concept for future muon-collider experiments and serves as a testbed for background mitigation, magnet design, and forward-region instrumentation.

Abstract

This work presents a proof of concept for MUSIC, a multi-purpose detector conceived for high-precision and ultra-high-energy physics studies in the challenging environment of $\sqrt{s}=10$ TeV muon-antimuon collisions. The detector features a central tracking system, electromagnetic and hadronic calorimeters, and dedicated muon detectors. This paper outlines the main design elements of each subdetector, with an emphasis on the effects of machine-induced backgrounds and the reconstruction strategies employed for key physics objects. Performance results for electrons, photons, muons, and jets are reported, and studies of jet flavour identification are discussed.

MUSIC: A Multi-Purpose Detector Concept for Physics at the 10 TeV Muon Collider

TL;DR

MUSIC proposes a proof-of-concept multi-purpose detector for TeV muon collider collisions, addressing unprecedented machine-induced backgrounds via shielding and forward-optimized subsystems. It integrates a 5 T central solenoid, a layered tracking system, CRILIN ECAL, iron–scintillator HCAL, and a muon system, with an end-to-end software stack (Whizard, MadGraph, PYTHIA, FLUKA, GUINEA-PIG, Geant4, DD4hep, ACTS, PandoraPFA, FastJet, LCFIPlus) for object reconstruction. Performance benchmarks for electrons, photons, muons, jets, and jet flavour tagging are provided under realistic MIB conditions, showing high object efficiencies (often >90%) and manageable fake rates, even in a challenging background environment. The study demonstrates the detector concept’s potential to deliver precision Higgs measurements and BSM sensitivity at a multi-TeV muon collider, while outlining concrete avenues for IR optimization, forward instrumentation, and AI-driven reconstruction enhancements. Overall, MUSIC establishes a credible, technically grounded baseline detector concept for future muon-collider experiments and serves as a testbed for background mitigation, magnet design, and forward-region instrumentation.

Abstract

This work presents a proof of concept for MUSIC, a multi-purpose detector conceived for high-precision and ultra-high-energy physics studies in the challenging environment of TeV muon-antimuon collisions. The detector features a central tracking system, electromagnetic and hadronic calorimeters, and dedicated muon detectors. This paper outlines the main design elements of each subdetector, with an emphasis on the effects of machine-induced backgrounds and the reconstruction strategies employed for key physics objects. Performance results for electrons, photons, muons, and jets are reported, and studies of jet flavour identification are discussed.

Paper Structure

This paper contains 14 sections, 1 equation, 26 figures.

Table of Contents

  1. Detector design for $\mathbf{\sqrt{s}=10}$ TeV muon collisions
  2. The MUSIC detector
  3. Superconducting solenoid magnet
  4. Tracking system
  5. Calorimeters
  6. Muon system
  7. Software pipeline description
  8. Physics objects reconstruction and identification performance
  9. Track reconstruction
  10. Photon and electron identification
  11. Jet reconstruction algorithm
  12. Muon identification
  13. Jet flavour tagging algorithm
  14. Summary and outlook

Figures (26)

  • Figure 1: Layout of the MUSIC detector in the $y$-$z$ plane.
  • Figure 2: Total ionizing dose per year from Ref. ESPPUimc, as defined in the text.
  • Figure 3: 1-MeV neutron-equivalent fluence in silicon per year from Ref. ESPPUimc, as defined in the text.
  • Figure 4: Magnetic field map on a vertical cross-section of the MUSIC detector
  • Figure 5: Schematic view of the tracking system in the $r$-$z$ plane. Different angles showing the angular acceptance of the tracking barrel and endcaps are shown with purple lines.
  • ...and 21 more figures