Makale detayı · 2023
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
Dergi
The European Physical Journal C, Springer Science and Business Media LLCISSN 1434-6052
ISSN kaydı başka bir dergiye işaret ediyor; ad YÖKSİS kaydından.
- Yıl
- 2023
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı The European Physical Journal C, Springer Science and Business Media LLC
- Katalog eşleşmesi (ISSN) European Physical Journal C
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
Abstract The Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1 $$\pm 0.6$$ ± 0.6 % and 84.1 $$\pm 0.6$$ ± 0.6 %, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
18 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 12 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network 2022
- Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network 2022
- First measurement of the total inelastic cross section of positively charged kaons on argon at energies between 5.0 and 7.5 GeV 2024
- First measurement of the total inelastic cross section of positively charged kaons on argon at energies between 5.0 and 7.5 GeV 2024
- First measurement of the total inelastic cross section of positively charged kaons on argon at energies between 5.0 and 7.5 GeV 2024
- Spatial and temporal evaluations of the liquid argon purity in ProtoDUNE-SP 2025
- Spatial and temporal evaluations of the liquid argon purity in ProtoDUNE-SP 2025
- The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data 2025
- The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data 2025
- Measurement of exclusive π + -argon interactions using ProtoDUNE-SP 2026