Multi-track reconstruction algorithms in the Mu2e experiment

The Mu2e experiment, under construction at Fermilab, will search for the neutrino-less coherent µ−N → e−N conversion in the field of a 27 Al nucleus, a CLFV process. While the main goal of the experiment is to reconstruct the conversion electron, i.e., an event with a single track, there are motivations to develop an efficient tracking algorithm for reconstructing more simultaneous tracks. This could better constrain the background generated by p¯-annihilation in the Al target and search for Beyond the Standard Model processes. In this paper, we present the algorithms designed to reconstruct multi-particle events.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701057/pdf
Primary Topic
Particle Detector Development and Performance
Type
article
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article

Multi-track reconstruction algorithms in the Mu2e experiment

Alessandro Maria Ricci
Springer Link (Chiba Institute of Technology)
Particle Detector Development and Performance
article

Multi-track reconstruction algorithms in the Mu2e experiment

Alessandro Maria Ricci
article en

Abstract

The Mu2e experiment, under construction at Fermilab, will search for the neutrino-less coherent µ−N → e−N conversion in the field of a 27 Al nucleus, a CLFV process. While the main goal of the experiment is to reconstruct the conversion electron, i.e., an event with a single track, there are motivations to develop an efficient tracking algorithm for reconstructing more simultaneous tracks. This could better constrain the background generated by p¯-annihilation in the Al target and search for Beyond the Standard Model processes. In this paper, we present the algorithms designed to reconstruct multi-particle events.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 19%
Particle Detector Development and Performance
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Multi-track reconstruction algorithms in the Mu2e experiment — Alessandro Maria Ricci · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS