Simulation of HFO-1234ze(E) - based mixtures in resistive plate chambers

The recent availability of a consistent electron collision cross-section set for the ultra-low GWP HFO-1234ze(E) (HFO) enables performance simulations of resistive plate chambers (RPCs) operated with HFO-based gas mixtures. We present a simulation framework that reproduces key detector observables measured in trigger-purpose RPCs, such as detection efficiency and cluster size. The simulation additionally provides new insights into streamer formation through a novel streamer inception criterion that captures the observed trends in streamer probability. For mixtures containing CO 2 , HFO, SF 6 , and isobutane, the Pareto front between avalanche-streamer separation and relative CO 2 equivalent emissions is evaluated using a multi-objective Bayesian optimization approach under a low working point constraint, so the mixture can be used with already installed infrastructure. The optimization confirms that the ECO2 gas mixture (60 % CO 2 , 35 % HFO, 4 % isobutane, 1 % SF 6 ), previously identified through experimental studies, is a Pareto optimal choice when the operation is constrained to a low working point. If higher working points are acceptable, mixtures with a higher HFO percentage provide larger avalanche-streamer separation while enabling a reduction of the SF 6 percentage, thereby reducing the environmental impact even further.

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Publication Details

Journal
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
Published
2026-09-12
DOI
https://doi.org/10.1016/j.nima.2026.172064
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
0.00

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article

Simulation of HFO-1234ze(E) - based mixtures in resistive plate chambers

Milton Kerker, Gianluca Rigoletti, Christian M. Franck, Dario Stocco et al.
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
Particle Detector Development and Performance
article

Simulation of HFO-1234ze(E) - based mixtures in resistive plate chambers

Milton Kerker, Gianluca Rigoletti, Christian M. Franck, Dario Stocco, Luca Quaglia
article en

Abstract

The recent availability of a consistent electron collision cross-section set for the ultra-low GWP HFO-1234ze(E) (HFO) enables performance simulations of resistive plate chambers (RPCs) operated with HFO-based gas mixtures. We present a simulation framework that reproduces key detector observables measured in trigger-purpose RPCs, such as detection efficiency and cluster size. The simulation additionally provides new insights into streamer formation through a novel streamer inception criterion that captures the observed trends in streamer probability. For mixtures containing CO 2 , HFO, SF 6 , and isobutane, the Pareto front between avalanche-streamer separation and relative CO 2 equivalent emissions is evaluated using a multi-objective Bayesian optimization approach under a low working point constraint, so the mixture can be used with already installed infrastructure. The optimization confirms that the ECO2 gas mixture (60 % CO 2 , 35 % HFO, 4 % isobutane, 1 % SF 6 ), previously identified through experimental studies, is a Pareto optimal choice when the operation is constrained to a low working point. If higher working points are acceptable, mixtures with a higher HFO percentage provide larger avalanche-streamer separation while enabling a reduction of the SF 6 percentage, thereby reducing the environmental impact even further.

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentVol. 1093
ETH Zurich (CH), University of Turin (IT), European Organization for Nuclear Research (CH), RWTH Aachen University (DE)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 12%
Particle Detector Development and Performance
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