G. A. Fiorentini Aguirre

York University

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Co-Authors

A. Ereditato

Fermi National Accelerator Laboratory

A. P. Furmanski

University of Minnesota System

S. Gardiner

Fermi National Accelerator Laboratory

F. Cavanna

Fermi National Accelerator Laboratory

A. M. Szelc

University of Edinburgh

G. Barr

University of Oxford

J. I. Crespo-Anadón

Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas

M. Mooney

Colorado State University

P. Green

University of Oxford

M. Söderberg

Syracuse University

Cooperative Institutions

University of California, Irvine

579

Boston University

564

Colorado State University

532

Duke University

482

University of Bern

479

Albert Einstein College of Medicine

426

Universidad Autónoma de Madrid

425

The University of Tokyo

413

Eötvös Loránd University

245

Fermi National Accelerator Laboratory

209

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Observation of radon mitigation in MicroBooNE by a liquid argon filtration system

Journal of Instrumentation (2022)

P. Abratenko J. Anthony L. Arellano J. Asaadi A. Ashkenazi

Abstract The MicroBooNE liquid argon time projection chamber (LArTPC) maintains a high level of liquid argon purity through the use of a filtration system that removes electronegative contaminants in continuously-circulated liquid, recondensed boil off, and externally supplied argon gas. We use the MicroBooNE LArTPC to reconstruct MeV-scale radiological decays. Using this technique we measure the liquid argon filtration system's efficacy at removing radon. This is studied by placing a 500 kBq 222 Rn source upstream of the filters and searching for a time-dependent increase in the number of radiological decays in the LArTPC. In the context of two models for radon mitigation via a liquid argon filtration system, a slowing mechanism and a trapping mechanism, MicroBooNE data supports a radon reduction factor of greater than 97% or 99.999%, respectively. Furthermore, a radiological survey of the filters found that the copper-based filter material was the primary medium that removed the 222 Rn. This is the first observation of radon mitigation in liquid argon with a large-scale copper-based filter and could offer a radon mitigation solution for future large LArTPCs.

Filtration (mathematics)

TRACER

10.1088/1748-0221/17/11/p11022

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Soil amendments influence early plant survival and growth in reclamation of severely degraded lands by gold mining in the Peruvian Amazon

Journal of Degraded and Mining Lands Management (2024)

Marx Herrera-Machaca Carlos Ancco-Mamani G. A. Fiorentini Aguirre Antony Cristhian Gonzales-Alvarado Jorge Garate-Quispe

Gold mining has been causing the most severe impacts on the soils of the Peruvian Amazon. It has created challenges for their recovery. In this context, soil amendments could play a crucial role in plant establishment in post-mining soils. The study aimed to analyze the effects of two amendments on the early plant survival and growth of seven species in the reclamation of severely degraded lands by gold mining in the Southeastern Peruvian Amazon. The study was based on a completely randomized block design, including 2-amendment treatments (T1: sawdust + island guano manure and T2: T1 + organic soil + hydrogel) and a control. The plant survivorship, height growth, diameter growth, and biomass accumulation were measured. This study found that amendments may be effective at increasing survivorship and plant growth in degraded lands by gold mining in the Peruvian Amazon. The amendments increased the survival, diameter, height, and biomass of most plant species in the study. In general, survivorship and plant growth in T2 were high compared to T1. At the end of the experiment, the highest survivorship was for an Indigofera suffruticosa and Crotalaria pallida (>80%). The diameter growth was higher in T2 than in T1. The species growing fastest in diameter (>1.5 cm) were Crotalaria cajanifolia, C. pallida and Ochroma pyramidale. Soil amendments provided similar effects on height for most species except for I. suffruticosa. Therefore, C. pallida, I. suffruticosa, C. cajanifolia and O. pyramidale are key species to be considered in reforestation and/or restoration initiatives, due to its potential to acclimate and establish itself in severely degraded areas.

Afforestation

10.15243/jdmlm.2024.114.6277

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First Joint Oscillation Analysis of Super-Kamiokande Atmospheric and T2K Accelerator Neutrino Data

Physical Review Letters (2025)

K. Abe S. Abe C. Bronner Y. Hayato K. Hiraide

The Super-Kamiokande and T2K Collaborations present a joint measurement of neutrino oscillation parameters from their atmospheric and beam neutrino data. It uses a common interaction model for events overlapping in neutrino energy and correlated detector systematic uncertainties between the two datasets, which are found to be compatible. Using 3244.4 days of atmospheric data and a beam exposure of 19.7(16.3)×1020 protons on target in (anti)neutrino mode, the analysis finds a 1.9σ exclusion of CP conservation (defined as JCP=0) and a 1.2σ exclusion of the inverted mass ordering. Published by the American Physical Society 2025

Oscillation (cell signaling)

10.1103/physrevlett.134.011801

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Measurements of the νμ and ν¯μ

Physical review. D/Physical review. D. (2023)

K. Abe N. Akhlaq R. Akutsu A. Ali S. Alonso Monsalve

We report an updated measurement of the νμ-induced, and the first measurement of the ν¯μ-induced coherent charged pion production cross section on C12 nuclei in the Tokai-to-Kamioka experiment. This is measured in a restricted region of the final-state phase space for which pμ,π>0.2 GeV, cos(θμ)>0.8 and cos(θπ)>0.6, and at a mean (anti)neutrino energy of 0.85 GeV using the T2K near detector. The measured νμ charged current coherent pion production flux-averaged cross section on C12 is (2.98±0.37(stat)±0.31(syst)−0.00+0.49(Q2 model))×10−40 cm2. The new measurement of the ν¯μ-induced cross section on C12 is (3.05±0.71(stat)±0.39(syst)−0.00+0.74(Q2 model))×10−40 cm2. The results are compatible with both the NEUT 5.4.0 Berger-Sehgal (2009) and GENIE 2.8.0 Rein-Sehgal (2007) model predictions.3 MoreReceived 4 September 2023Accepted 13 October 2023DOI:https://doi.org/10.1103/PhysRevD.108.092009Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasParticle interactionsTotal cross sectionsPhysical SystemsNeutrinosTechniquesMulti-purpose particle detectorsNeutrino detectionParticles & Fields

10.1103/physrevd.108.092009

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Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data

The European Physical Journal C (2022)

P. Abratenko R. An J. Anthony L. Arellano J. Asaadi

Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE.

Time projection chamber

10.1140/epjc/s10052-022-10270-8

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Measurement of the neutrino-oxygen neutral-current interaction cross section by observing nuclear deexcitationγrays

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology (2014)

K. Abe J. Adam H. Aihara T. Akiri C. Andreopoulos

We report the first measurement of the neutrino-oxygen neutral-current quasielastic (NCQE) cross section. It is obtained by observing nuclear deexcitation $\gamma$-rays which follow neutrino-oxygen interactions at the Super-Kamiokande water Cherenkov detector. We use T2K data corresponding to $3.01 \times 10^{20}$ protons on target. By selecting only events during the T2K beam window and with well-reconstructed vertices in the fiducial volume, the large background rate from natural radioactivity is dramatically reduced. We observe 43 events in the $4-30$ MeV reconstructed energy window, compared with an expectation of 51.0, which includes an estimated 16.2 background events. The background is primarily nonquasielastic neutral-current interactions and has only 1.2 events from natural radioactivity. The flux-averaged NCQE cross section we measure is $1.55 \times 10^{-38}$ cm$^2$ with a 68\% confidence interval of $(1.22, 2.20) \times 10^{-38}$ cm$^2$ at a median neutrino energy of 630 MeV, compared with the theoretical prediction of $2.01 \times 10^{-38}$ cm$^2$.

Neutral current

10.1103/physrevd.90.072012

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Search for Neutrino-Induced Neutral-Current Δ Radiative Decay in MicroBooNE and a First Test of the MiniBooNE Low Energy Excess under a Single-Photon Hypothesis

Physical Review Letters (2022)

P. Abratenko R. An J. Anthony L. Arellano J. Asaadi

We report results from a search for neutrino-induced neutral current (NC) resonant $\Delta$(1232) baryon production followed by $\Delta$ radiative decay, with a $\langle0.8\rangle$~GeV neutrino beam. Data corresponding to MicroBooNE's first three years of operations (6.80$\times$10$^{20}$ protons on target) are used to select single-photon events with one or zero protons and without charged leptons in the final state ($1\gamma1p$ and $1\gamma0p$, respectively). The background is constrained via an in-situ high-purity measurement of NC $\pi^0$ events, made possible via dedicated $2\gamma1p$ and $2\gamma0p$ selections. A total of 16 and 153 events are observed for the $1\gamma1p$ and $1\gamma0p$ selections, respectively, compared to a constrained background prediction of $20.5 \pm 3.65 \text{(sys.)} $ and $145.1 \pm 13.8 \text{(sys.)} $ events. The data lead to a bound on an anomalous enhancement of the normalization of NC $\Delta$ radiative decay of less than $2.3$ times the predicted nominal rate for this process at the 90% confidence level (CL). The measurement disfavors a candidate photon interpretation of the MiniBooNE low-energy excess as a factor of $3.18$ times the nominal NC $\Delta$ radiative decay rate at the 94.8% CL, in favor of the nominal prediction, and represents a greater than $50$-fold improvement over the world's best limit on single-photon production in NC interactions in the sub-GeV neutrino energy range

Neutral current

10.1103/physrevlett.128.111801

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Measurement of differential cross sections for νμ -Ar charged-current interactions with protons and no pions in the final state with the MicroBooNE detector

Physical review. D/Physical review. D. (2020)

P. Abratenko M. Alrashed R. An J. Anthony J. Asaadi

We present an analysis of MicroBooNE data with a signature of one muon, no pions, and at least one proton above a momentum threshold of $300\text{ }\text{ }\mathrm{MeV}/\mathrm{c}$ ($\mathrm{CC}0\ensuremath{\pi}Np$). This is the first differential cross-section measurement of this topology in neutrino-argon interactions. We achieve a significantly lower proton momentum threshold than previous carbon and scintillator-based experiments. Using data collected from a total of approximately $1.6\ifmmode\times\else\texttimes\fi{}{10}^{20}$ protons on target, we measure the muon neutrino cross section for the $\mathrm{CC}0\ensuremath{\pi}Np$ interaction channel in argon at MicroBooNE in the Booster Neutrino Beam which has a mean energy of around 800 MeV. We present the results from a data sample with estimated efficiency of 29% and purity of 76% as differential cross sections in five reconstructed variables: the muon momentum and polar angle, the leading proton momentum and polar angle, and the muon-proton opening angle. We include smearing matrices that can be used to ``forward fold'' theoretical predictions for comparison with these data. We compare the measured differential cross sections to a number of recent theory predictions demonstrating largely good agreement with this first-ever dataset on argon.

10.1103/physrevd.102.112013

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Citations (54)

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

Physical review. D/Physical review. D. (2021)

P. Abratenko M. Alrashed R. An J. Anthony J. Asaadi

We present the multiple particle identification (MPID) network, a convolutional neural network for multiple object classification, developed by MicroBooNE. MPID provides the probabilities that an interaction includes an ${e}^{\ensuremath{-}}$, $\ensuremath{\gamma}$, ${\ensuremath{\mu}}^{\ensuremath{-}}$, ${\ensuremath{\pi}}^{\ifmmode\pm\else\textpm\fi{}}$, and protons in a liquid argon time projection chamber single readout plane. The network extends the single particle identification network previously developed by MicroBooNE [Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber, R. Acciarri et al. J. Instrum. 12, P03011 (2017)]. MPID takes as input an image either cropped around a reconstructed interaction vertex or containing only activity connected to a reconstructed vertex, therefore relieving the tool from inefficiencies in vertex finding and particle clustering. The network serves as an important component in MicroBooNE's deep-learning-based ${\ensuremath{\nu}}_{e}$ search analysis. In this paper, we present the network's design, training, and performance on simulation and data from the MicroBooNE detector.

Time projection chamber

Particle identification

Identification

10.1103/physrevd.103.092003

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Cosmic ray muon clustering for the MicroBooNE liquid argon time projection chamber using sMask-RCNN

arXiv (Cornell University) (2022)

MicroBooNE collaboration P. Abratenko R. An J. Anthony L. Arellano

In this article, we describe a modified implementation of Mask Region-based Convolutional Neural Networks (Mask-RCNN) for cosmic ray muon clustering in a liquid argon TPC and applied to MicroBooNE neutrino data. Our implementation of this network, called sMask-RCNN, uses sparse submanifold convolutions to increase processing speed on sparse datasets, and is compared to the original dense version in several metrics. The networks are trained to use wire readout images from the MicroBooNE liquid argon time projection chamber as input and produce individually labeled particle interactions within the image. These outputs are identified as either cosmic ray muon or electron neutrino interactions. We find that sMask-RCNN has an average pixel clustering efficiency of 85.9% compared to the dense network's average pixel clustering efficiency of 89.1%. We demonstrate the ability of sMask-RCNN used in conjunction with MicroBooNE's state-of-the-art Wire-Cell cosmic tagger to veto events containing only cosmic ray muons. The addition of sMask-RCNN to the Wire-Cell cosmic tagger removes 70% of the remaining cosmic ray muon background events at the same electron neutrino event signal efficiency. This event veto can provide 99.7% rejection of cosmic ray-only background events while maintaining an electron neutrino event-level signal efficiency of 80.1%. In addition to cosmic ray muon identification, sMask-RCNN could be used to extract features and identify different particle interaction types in other 3D-tracking detectors.

Time projection chamber

10.48550/arxiv.2201.05705

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