English

MAIA: A new detector concept for a 10 TeV muon collider

Instrumentation and Detectors 2025-02-04 v1 High Energy Physics - Experiment

Abstract

Muon colliders offer a compelling opportunity to explore the TeV scale and conduct precision tests of the Standard Model, all within a relatively compact geographical footprint. This paper introduces a new detector concept, MAIA (Muon Accelerator Instrumented Apparatus), optimized for s=10\sqrt{s}=10 TeV μμ\mu\mu collisions. The detector features an all-silicon tracker immersed in a 5T solenoid field. High-granularity silicon-tungsten and iron-scintillator calorimeters surrounding the solenoid capture high-energy electronic and hadronic showers, respectively, and support particle-flow reconstruction. The outermost subsystem comprises an air-gap muon spectrometer, which enables standalone track reconstruction for high-momentum muons. The performance of the MAIA detector is evaluated in terms of differential particle reconstruction efficiencies and resolutions. Beam-induced background (BIB) simulations generated in FLUKA are overlaid with single particle gun samples to assess detector reconstruction capabilities under realistic experimental conditions. Even with BIB, reconstruction efficiencies exceed 95% for energetic tracks, photons, and neutrons in the central region of the detector. This paper outlines promising avenues of future work, including forward region optimization and opportunities for enhanced flavor/boosted object tagging, and addresses the technological assumptions needed to achieve the desired detector performance.

Keywords

Cite

@article{arxiv.2502.00181,
  title  = {MAIA: A new detector concept for a 10 TeV muon collider},
  author = {Charles Bell and Daniele Calzolari and Christian Carli and Karri Folan Di Petrillo and Micah Hillman and Tova R. Holmes and Sergo Jindariani and Kiley E. Kennedy and Ka Hei Martin Kwok and Anton Lechner and Lawrence Lee and Thomas Madlener and Federico Meloni and Isobel Ojalvo and Priscilla Pani and Rose Powers and Benjamin Rosser and Leo Rozanov and Kyriacos Skoufaris and Elise Sledge and Alexander Tuna and Junjia Zhang},
  journal= {arXiv preprint arXiv:2502.00181},
  year   = {2025}
}

Comments

41 pages, 24 figures