Wire-cell 3D pattern recognition techniques for neutrino event reconstruction in large LArTPCs: algorithm description and quantitative evaluation with MicroBooNE simulation

Article Physics, Multidisciplinary

Recent highlights from GENIE v3

Luis Alvarez-Ruso et al.

Summary: The release of GENIE v3.0.0 marked a major milestone in the project's history, with a range of new tools and physics models made available. Steady progress has continued, with plans for more releases in the future.

EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS (2021)

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Article Instruments & Instrumentation

Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching

P. Abratenko et al.

Summary: An innovative tomographic event reconstruction method for liquid argon time projection chambers (LArTPCs), called Wire-Cell, has been successfully applied in the MicroBooNE experiment. Using these techniques, a 95% efficient pre-selection of neutrino charged-current events is achieved, with a 30-fold reduction of non-beam-coincident cosmic-ray muons.

JOURNAL OF INSTRUMENTATION (2021)

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Article Physics, Applied

Cosmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in the MicroBooNE Detector

P. Abratenko et al.

Summary: This study introduces a superior cosmic background rejection procedure based on Wire-Cell three-dimensional event reconstruction for large liquid-argon time-projection chambers (LArTPCs), demonstrating high-performance neutrino event selection with low cosmic contamination. The improved performance compared to existing reconstruction algorithms is a major milestone towards achieving the scientific goals of LArTPC neutrino oscillation experiments operating near the Earth's surface.

PHYSICAL REVIEW APPLIED (2021)

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Article Astronomy & Astrophysics

Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber

P. Abratenko et al.

Summary: This paper introduces the MPID network developed by MicroBooNE for multiple object classification. It provides probabilities for different particles and serves as an important component in deep-learning-based search analysis within the liquid argon time projection chamber.

PHYSICAL REVIEW D (2021)

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Article Astronomy & Astrophysics

Semantic segmentation with a sparse convolutional neural network for event reconstruction in MicroBooNE

P. Abratenko et al.

Summary: The article introduces SparseSSNet, a semantic segmentation network that plays a crucial role in the MicroBooNE experiment. This network classifies data at the pixel level and improves accuracy in further analysis. Compared to the previously used convolutional neural network, SparseSSNet demonstrates enhancements in performance and resource utilization.

PHYSICAL REVIEW D (2021)

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Article Instruments & Instrumentation

Reconstruction and measurement of O(100) MeV energy electromagnetic activity from π0 → γγ decays in the MicroBooNE LArTPC

C. Adams et al.

JOURNAL OF INSTRUMENTATION (2020)

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Article Instruments & Instrumentation

Calibration of the charge and energy loss per unit length of the MicroBooNE liquid argon time projection chamber using muons and protons

C. Adams et al.

JOURNAL OF INSTRUMENTATION (2020)

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Article Instruments & Instrumentation

A method to determine the electric field of liquid argon time projection chambers using a UV laser system and its application in MicroBooNE

C. Adams et al.

JOURNAL OF INSTRUMENTATION (2020)

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Article Instruments & Instrumentation

Volume I. Introduction to DUNE

B. Abi et al.

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Measurement of space charge effects in the MicroBooNE LArTPC using cosmic muons

P. Abratenko et al.

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Article Astronomy & Astrophysics

Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber

C. Adams et al.

PHYSICAL REVIEW D (2019)

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Article Physics, Particles & Fields

The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector

R. Acciarri et al.

EUROPEAN PHYSICAL JOURNAL C (2018)

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Ionization electron signal processing in single phase LArTPCs. Part II. Data/simulation comparison and performance in MicroBooNE

C. Adams et al.

JOURNAL OF INSTRUMENTATION (2018)

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Ionization electron signal processing in single phase LArTPCs. Part I. Algorithm Description and quantitative evaluation with MicroBooNE simulation

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Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC

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Design and construction of the MicroBooNE detector

R. Acciarri et al.

JOURNAL OF INSTRUMENTATION (2017)

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Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering

P. Abratenko et al.

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Measurement of longitudinal electron diffusion in liquid argon

Yichen Li et al.

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT (2016)

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A study of electron recombination using highly ionizing particles in the ArgoNeuT Liquid Argon TPC

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Precise 3D Track Reconstruction Algorithm for the ICARUS T600 Liquid Argon Time Projection Chamber Detector

M. Antonello et al.

ADVANCES IN HIGH ENERGY PHYSICS (2013)

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First Measurements of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon

C. Anderson et al.

PHYSICAL REVIEW LETTERS (2012)

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Electron Recombination in Ionized Liquid Argon: A Computational Approach Based on Realistic Models of Electron Transport and Reactions

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Regularization Paths for Generalized Linear Models via Coordinate Descent

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Neutrino flux prediction at MiniBooNE

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Stable signal recovery from incomplete and inaccurate measurements

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COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS (2006)

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Design, construction and tests of the ICARUS T600 detector

S Amerio et al.

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT (2004)

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GEANT4-a simulation toolkit

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Wire-cell 3D pattern recognition techniques for neutrino event reconstruction in large LArTPCs: algorithm description and quantitative evaluation with MicroBooNE simulation

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