Abstract

The Muon Ionization Cooling Experiment (MICE) will perform a detailed study of ionization cooling to evaluate the feasibility of the technique. To carry out this program, MICE requires an efficient particle-identification (PID) system to identify muons. The Electron-Muon Ranger (EMR) is a fully-active tracking-calorimeter that forms part of the PID system and tags muons that traverse the cooling channel without decaying. The detector is capable of identifying electrons with an efficiency of 98.6%, providing a purity for the MICE beam that exceeds 99.8%. The EMR also proved to be a powerful tool for the reconstruction of muon momenta in the range 100–280 MeV/c.

Highlights

  • Intense muon sources are required for a future Neutrino Factory or Muon Collider [1, 2]

  • Simulations indicate that the ionizationcooling effect builds quickly enough to deliver the flux and emittance required by the Neutrino Factory and the Muon Collider [4, 5]

  • The emittance must be reduced to 2–5 π mm-rad for the Neutrino Factory, with further reduction to 0.008 π mm-rad required for a Muon Collider [9]

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Summary

Introduction

Intense muon sources are required for a future Neutrino Factory or Muon Collider [1, 2]. Muons occupy a large phase-space volume (emittance), which makes them difficult to accelerate and store. Simulations indicate that the ionizationcooling effect builds quickly enough to deliver the flux and emittance required by the Neutrino Factory and the Muon Collider [4, 5]. The muon beams at the front-end of a Neutrino Factory or Muon Collider are expected to be similar, with a large transverse normalised emittance of εN ≈ 12–20 π mm-rad and a momentum spread of ∼ 20 MeV/c. The emittance must be reduced to 2–5 π mm-rad for the Neutrino Factory, with further reduction to 0.008 π mm-rad required for a Muon Collider [9]. The Electron-Muon Ranger (EMR) [11] is a key component of the particle identification system and its performance in the MICE Muon Beam (MMB) is presented here

The Muon Ionization Cooling Experiment
The Electron-Muon Ranger in the MICE Muon Beam
EMR construction
Data taking
Particle identification by time-of-flight
Momentum loss in TOF2 and the KL
Events in the EMR
EMR particle identification variables
Plane density
Shower spread
Electron-Muon separation
Plane density test
Spread test
Multivariate test
Momentum dependence
Muon momentum reconstruction
Range reconstruction
Theoretical approximation
Momentum reconstruction accuracy
Findings
Conclusions

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