Detecting Muons with a Siemens Biograph Vision Quadra
Abstract
Atmospheric muons are routinely detected with a variety of instruments, from cloud chambers to scintillation detectors. In this study, we demonstrate that atmospheric muons can also be detected with a clinical long axial field-of-view positron emission tomograph (PET). We performed a blank scan without any radioactive source, using a prototype feature that records all single crystal interactions. The energy a muon deposits in the PET crystals far exceeds the upper limit of the recorded energy range, which means muons cannot be identified through energy discrimination. Instead, we used the scanner's time-of-flight capabilities to select crossing events, i.e. pairs of high-energy single crystal events across the PET gantry whose spatial and temporal separation is consistent with a downward-going ultrarelativistic particle. Random pairings, however, cannot be rejected on an event-by-event basis. We therefore established the muon origin of the crossing events through their characteristic angular distribution. In order to account for geometry and event selection bias, we compare the measured crossing events to a Monte Carlo simulation of muons following the expected angular distribution. This confirms that the measured crossing events in the PET scanner are consistent with atmospheric muons.
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BibTeX
@misc{mercolli2026detecting,
title = {{Detecting Muons with a Siemens Biograph Vision Quadra}},
author = {Lorenzo Mercolli and William M. Steinberger},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.01845},
eprint = {2611.01845},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.01845},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Detecting Muons with a Siemens Biograph Vision Quadra
AU - Lorenzo Mercolli
AU - William M. Steinberger
PY - 2026
DA - 2026/11/01
PB - arXiv
DO - 10.48550/arxiv.2611.01845
UR - https://arxiv.org/abs/2611.01845
AB - Atmospheric muons are routinely detected with a variety of instruments, from cloud chambers to scintillation detectors. In this study, we demonstrate that atmospheric muons can also be detected with a clinical long axial field-of-view positron emission tomograph (PET). We performed a blank scan without any radioactive source, using a prototype feature that records all single crystal interactions. The energy a muon deposits in the PET crystals far exceeds the upper limit of the recorded energy range, which means muons cannot be identified through energy discrimination. Instead, we used the scanner's time-of-flight capabilities to select crossing events, i.e. pairs of high-energy single crystal events across the PET gantry whose spatial and temporal separation is consistent with a downward-going ultrarelativistic particle. Random pairings, however, cannot be rejected on an event-by-event basis. We therefore established the muon origin of the crossing events through their characteristic angular distribution. In order to account for geometry and event selection bias, we compare the measured crossing events to a Monte Carlo simulation of muons following the expected angular distribution. This confirms that the measured crossing events in the PET scanner are consistent with atmospheric muons.
ER -