Track reconstruction with ACTAR TPC: a transfer-reaction use case

A unified framework for track reconstruction in the ACTAR Time Projection Chamber (ACTAR TPC) is presented, designed to address the specific challenges of direct-reaction and resonance-elastic scattering experiments involving exotic nuclei. The actroot software package enables efficient semi-online analysis by integrating a continuity-based clustering algorithm followed by a modular filtering procedure to reduce noise, delta-electron contamination, and track fragmentation. The software was benchmarked with experimental data taken with a secondary 20O beam delivered by the LISE3 spectrometer at GANIL. The algorithm achieves reconstruction efficiencies exceeding 90% across various event topologies. The system provides accurate particle identification and reaction-point determination, facilitating the extraction of key physical observables. These results demonstrate the framework's suitability for its application to direct reaction experiments in cubic active-target TPCs without magnetic fields.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-02
DOI
https://doi.org/10.48550/arxiv.2611.02836
Primary Topic
Particle Detector Development and Performance
Type
preprint
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preprint

Track reconstruction with ACTAR TPC: a transfer-reaction use case

I. Blanco-Calviño, M. Lozano-González, B. Fernández-Domínguez, J. Lois-Fuentes et al.
arXiv (Cornell University)
Particle Detector Development and Performance
preprint

Track reconstruction with ACTAR TPC: a transfer-reaction use case

I. Blanco-Calviño, M. Lozano-González, B. Fernández-Domínguez, J. Lois-Fuentes, T. Roger
preprint en

Abstract

A unified framework for track reconstruction in the ACTAR Time Projection Chamber (ACTAR TPC) is presented, designed to address the specific challenges of direct-reaction and resonance-elastic scattering experiments involving exotic nuclei. The actroot software package enables efficient semi-online analysis by integrating a continuity-based clustering algorithm followed by a modular filtering procedure to reduce noise, delta-electron contamination, and track fragmentation. The software was benchmarked with experimental data taken with a secondary 20O beam delivered by the LISE3 spectrometer at GANIL. The algorithm achieves reconstruction efficiencies exceeding 90% across various event topologies. The system provides accurate particle identification and reaction-point determination, facilitating the extraction of key physical observables. These results demonstrate the framework's suitability for its application to direct reaction experiments in cubic active-target TPCs without magnetic fields.

arXiv (Cornell University)
Particle Detector Development and Performance
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