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Cosmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in the MicroBooNE Detector
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna
, et al. (164 additional authors not shown)
Abstract:
For a large liquid argon time projection chamber (LArTPC) operating on or near the Earth's surface to detect neutrino interactions, the rejection of cosmogenic background is a critical and challenging task because of the large cosmic ray flux and the long drift time of the TPC. We introduce a superior cosmic background rejection procedure based on the Wire-Cell three-dimensional (3D) event reconst…
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For a large liquid argon time projection chamber (LArTPC) operating on or near the Earth's surface to detect neutrino interactions, the rejection of cosmogenic background is a critical and challenging task because of the large cosmic ray flux and the long drift time of the TPC. We introduce a superior cosmic background rejection procedure based on the Wire-Cell three-dimensional (3D) event reconstruction for LArTPCs. From an initial 1:20,000 neutrino to cosmic-ray background ratio, we demonstrate these tools on data from the MicroBooNE experiment and create a high performance generic neutrino event selection with a cosmic contamination of 14.9\% (9.7\%) for a visible energy region greater than O(200)~MeV. The neutrino interaction selection efficiency is 80.4\% and 87.6\% for inclusive $ν_μ$ charged-current and $ν_e$ charged-current interactions, respectively. This significantly improved performance compared to existing reconstruction algorithms, marks a major milestone toward reaching the scientific goals of LArTPC neutrino oscillation experiments operating near the Earth's surface.
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Submitted 29 June, 2021; v1 submitted 12 January, 2021;
originally announced January 2021.
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Measurement of the Flux-Averaged Inclusive Charged-Current Electron Neutrino and Antineutrino Cross Section on Argon using the NuMI Beam and the MicroBooNE Detector
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna
, et al. (163 additional authors not shown)
Abstract:
We present a measurement of the combined $ν_e$ + $\barν_e$ flux-averaged charged-current inclusive cross section on argon using data from the MicroBooNE liquid argon time projection chamber (LArTPC) at Fermilab. Using the off-axis flux from the NuMI beam, MicroBooNE has reconstructed 214 candidate $ν_e$ + $\barν_e$ interactions with an estimated exposure of 2.4$\times10^{20}$ protons on target. Gi…
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We present a measurement of the combined $ν_e$ + $\barν_e$ flux-averaged charged-current inclusive cross section on argon using data from the MicroBooNE liquid argon time projection chamber (LArTPC) at Fermilab. Using the off-axis flux from the NuMI beam, MicroBooNE has reconstructed 214 candidate $ν_e$ + $\barν_e$ interactions with an estimated exposure of 2.4$\times10^{20}$ protons on target. Given the estimated purity of 38.6\%, this implies the observation of 80 $ν_e$ + $\barν_e$ events in argon, the largest such sample to date. The analysis includes the first demonstration of a fully automated application of a dE/dx-based particle discrimination technique of electron and photon induced showers in a LArTPC neutrino detector. We measure the $ν_e + \barν_e$ flux-averaged charged-current total cross section to be ${6.84\pm\!1.51~\textrm{(stat.)}\pm\!2.33~\textrm{(sys.)}\!\times\!10^{-39}~\textrm{cm}^{2}/~\textrm{nucleon}}$, for neutrino energies above 250 MeV and an average neutrino flux energy of 905 MeV when this threshold is applied. The measurement is sensitive to neutrino events where the final state electron momentum is above 48 MeV/c, includes the entire angular phase space of the electron, and is in agreement with the theoretical predictions from \texttt{GENIE} and \texttt{NuWro}. This measurement is also the first demonstration of electron neutrino reconstruction in a surface LArTPC in the presence of cosmic ray backgrounds, which will be a crucial task for surface experiments like those that comprise the Short-Baseline Neutrino (SBN) Program at Fermilab.
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Submitted 11 January, 2021;
originally announced January 2021.
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Measurement of the Atmospheric Muon Rate with the MicroBooNE Liquid Argon TPC
Authors:
MicroBooNE collaboration,
C. Adams,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
M. Bass,
F. Bay,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Carr,
R. Castillo Fernandez
, et al. (165 additional authors not shown)
Abstract:
MicroBooNE is a near-surface liquid argon (LAr) time projection chamber (TPC) located at Fermilab. We measure the characterisation of muons originating from cosmic interactions in the atmosphere using both the charge collection and light readout detectors. The data is compared with the CORSIKA cosmic-ray simulation. Good agreement is found between the observation, simulation and previous results.…
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MicroBooNE is a near-surface liquid argon (LAr) time projection chamber (TPC) located at Fermilab. We measure the characterisation of muons originating from cosmic interactions in the atmosphere using both the charge collection and light readout detectors. The data is compared with the CORSIKA cosmic-ray simulation. Good agreement is found between the observation, simulation and previous results. Furthermore, the angular resolution of the reconstructed muons inside the TPC is studied in simulation.
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Submitted 13 April, 2021; v1 submitted 22 December, 2020;
originally announced December 2020.
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Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna
, et al. (158 additional authors not shown)
Abstract:
We present the performance of a semantic segmentation network, SparseSSNet, that provides pixel-level classification of MicroBooNE data. The MicroBooNE experiment employs a liquid argon time projection chamber for the study of neutrino properties and interactions. SparseSSNet is a submanifold sparse convolutional neural network, which provides the initial machine learning based algorithm utilized…
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We present the performance of a semantic segmentation network, SparseSSNet, that provides pixel-level classification of MicroBooNE data. The MicroBooNE experiment employs a liquid argon time projection chamber for the study of neutrino properties and interactions. SparseSSNet is a submanifold sparse convolutional neural network, which provides the initial machine learning based algorithm utilized in one of MicroBooNE's $ν_e$-appearance oscillation analyses. The network is trained to categorize pixels into five classes, which are re-classified into two classes more relevant to the current analysis. The output of SparseSSNet is a key input in further analysis steps. This technique, used for the first time in liquid argon time projection chambers data and is an improvement compared to a previously used convolutional neural network, both in accuracy and computing resource utilization. The accuracy achieved on the test sample is $\geq 99\%$. For full neutrino interaction simulations, the time for processing one image is $\approx$ 0.5 sec, the memory usage is at 1 GB level, which allows utilization of most typical CPU worker machine.
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Submitted 5 April, 2021; v1 submitted 14 December, 2020;
originally announced December 2020.
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High-performance Generic Neutrino Detection in a LArTPC near the Earth's Surface with the MicroBooNE Detector
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna
, et al. (164 additional authors not shown)
Abstract:
Large Liquid Argon Time Projection Chambers (LArTPCs) are being increasingly adopted in neutrino oscillation experiments because of their superb imaging capabilities through the combination of both tracking and calorimetry in a fully active volume. Active LArTPC neutrino detectors at or near the Earth's surface, such as the MicroBooNE experiment, present a unique analysis challenge because of the…
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Large Liquid Argon Time Projection Chambers (LArTPCs) are being increasingly adopted in neutrino oscillation experiments because of their superb imaging capabilities through the combination of both tracking and calorimetry in a fully active volume. Active LArTPC neutrino detectors at or near the Earth's surface, such as the MicroBooNE experiment, present a unique analysis challenge because of the large flux of cosmic-ray muons and the slow drift of ionization electrons. We present a novel Wire-Cell-based high-performance generic neutrino-detection technique implemented in MicroBooNE. The cosmic-ray background is reduced by a factor of 1.4$\times10^{5}$ resulting in a 9.7\% cosmic contamination in the selected neutrino candidate events, for visible energies greater than 200~MeV, while the neutrino signal efficiency is retained at 88.4\% for $ν_μ$ charged-current interactions in the fiducial volume in the same energy region. This significantly improved performance compared to existing reconstruction algorithms, marks a major milestone toward reaching the scientific goals of LArTPC neutrino oscillation experiments operating near the Earth's surface.
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Submitted 19 August, 2021; v1 submitted 14 December, 2020;
originally announced December 2020.
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Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna
, et al. (160 additional authors not shown)
Abstract:
An accurate and efficient event reconstruction is required to realize the full scientific capability of liquid argon time projection chambers (LArTPCs). The current and future neutrino experiments that rely on massive LArTPCs create a need for new ideas and reconstruction approaches. Wire-Cell, proposed in recent years, is a novel tomographic event reconstruction method for LArTPCs. The Wire-Cell…
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An accurate and efficient event reconstruction is required to realize the full scientific capability of liquid argon time projection chambers (LArTPCs). The current and future neutrino experiments that rely on massive LArTPCs create a need for new ideas and reconstruction approaches. Wire-Cell, proposed in recent years, is a novel tomographic event reconstruction method for LArTPCs. The Wire-Cell 3D imaging approach capitalizes on charge, sparsity, time, and geometry information to reconstruct a topology-agnostic 3D image of the ionization electrons prior to pattern recognition. A second novel method, the many-to-many charge-light matching, then pairs the TPC charge activity to the detected scintillation light signal, thus enabling a powerful rejection of cosmic-ray muons in the MicroBooNE detector. A robust processing of the scintillation light signal and an appropriate clustering of the reconstructed 3D image are fundamental to this technique. In this paper, we describe the principles and algorithms of these techniques and their successful application in the MicroBooNE experiment. A quantitative evaluation of the performance of these techniques is presented. 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, and about 80\% of the selected neutrino charged-current events are reconstructed with at least 70% completeness and 80% purity.
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Submitted 26 December, 2021; v1 submitted 2 November, 2020;
originally announced November 2020.
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A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna
, et al. (162 additional authors not shown)
Abstract:
We present the multiple particle identification (MPID) network, a convolutional neural network (CNN) for multiple object classification, developed by MicroBooNE. MPID provides the probabilities of $e^-$, $γ$, $μ^-$, $π^\pm$, and protons in a single liquid argon time projection chamber (LArTPC) readout plane. The network extends the single particle identification network previously developed by Mic…
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We present the multiple particle identification (MPID) network, a convolutional neural network (CNN) for multiple object classification, developed by MicroBooNE. MPID provides the probabilities of $e^-$, $γ$, $μ^-$, $π^\pm$, and protons in a single liquid argon time projection chamber (LArTPC) readout plane. The network extends the single particle identification network previously developed by MicroBooNE. 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 $ν_e$ search analysis. In this paper, we present the network's design, training, and performance on simulation and data from the MicroBooNE detector.
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Submitted 30 March, 2021; v1 submitted 16 October, 2020;
originally announced October 2020.
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Measurement of Differential Cross Sections for $ν_μ$-Ar Charged-Current Interactions with Protons and no Pions in the Final State with the MicroBooNE Detector
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna
, et al. (160 additional authors not shown)
Abstract:
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 MeV/c (CC0$π$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…
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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 MeV/c (CC0$π$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 $1.6 \times 10^{20}$ protons-on-target, we measure the muon neutrino cross section for the CC0$π$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 data set on argon.
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Submitted 5 October, 2020;
originally announced October 2020.
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The Continuous Readout Stream of the MicroBooNE Liquid Argon Time Projection Chamber for Detection of Supernova Burst Neutrinos
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna
, et al. (163 additional authors not shown)
Abstract:
The MicroBooNE continuous readout stream is a parallel readout of the MicroBooNE liquid argon time projection chamber (LArTPC) which enables detection of non-beam events such as those from a supernova neutrino burst. The low energies of the supernova neutrinos and the intense cosmic-ray background flux due to the near-surface detector location makes triggering on these events very challenging. Ins…
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The MicroBooNE continuous readout stream is a parallel readout of the MicroBooNE liquid argon time projection chamber (LArTPC) which enables detection of non-beam events such as those from a supernova neutrino burst. The low energies of the supernova neutrinos and the intense cosmic-ray background flux due to the near-surface detector location makes triggering on these events very challenging. Instead, MicroBooNE relies on a delayed trigger generated by SNEWS (the Supernova Early Warning System) for detecting supernova neutrinos. The continuous readout of the LArTPC generates large data volumes, and requires the use of real-time compression algorithms (zero suppression and Huffman compression) implemented in an FPGA (field-programmable gate array) in the readout electronics. We present the results of the optimization of the data reduction algorithms, and their operational performance. To demonstrate the capability of the continuous stream to detect low-energy electrons, a sample of Michel electrons from stopping cosmic-ray muons is reconstructed and compared to a similar sample from the lossless triggered readout stream.
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Submitted 3 February, 2021; v1 submitted 31 August, 2020;
originally announced August 2020.
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Measurement of Space Charge Effects in the MicroBooNE LArTPC Using Cosmic Muons
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna
, et al. (162 additional authors not shown)
Abstract:
Large liquid argon time projection chambers (LArTPCs), especially those operating near the surface, are susceptible to space charge effects. In the context of LArTPCs, the space charge effect is the build-up of slow-moving positive ions in the detector primarily due to ionization from cosmic rays, leading to a distortion of the electric field within the detector. This effect leads to a displacemen…
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Large liquid argon time projection chambers (LArTPCs), especially those operating near the surface, are susceptible to space charge effects. In the context of LArTPCs, the space charge effect is the build-up of slow-moving positive ions in the detector primarily due to ionization from cosmic rays, leading to a distortion of the electric field within the detector. This effect leads to a displacement in the reconstructed position of signal ionization electrons in LArTPC detectors ("spatial distortions"), as well as to variations in the amount of electron-ion recombination experienced by ionization throughout the volume of the TPC. We present techniques that can be used to measure and correct for space charge effects in large LArTPCs by making use of cosmic muons, including the use of track pairs to unambiguously pin down spatial distortions in three dimensions. The performance of these calibration techniques are studied using both Monte Carlo simulation and MicroBooNE data, utilizing a UV laser system as a means to estimate the systematic bias associated with the calibration methodology.
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Submitted 9 November, 2020; v1 submitted 22 August, 2020;
originally announced August 2020.
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First Measurement of Differential Charged Current Quasielastic-like $ν_μ$-Argon Scattering Cross Sections with the MicroBooNE Detector
Authors:
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
O. Benevides Rodrigues,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna,
G. Cerati
, et al. (159 additional authors not shown)
Abstract:
We report on the first measurement of flux-integrated single differential cross sections for charged-current (CC) muon neutrino ($ν_μ$) scattering on argon with a muon and a proton in the final state, $^{40}$Ar($ν_μ$,$μ$p)X. The measurement was carried out using the Booster Neutrino Beam at Fermi National Accelerator Laboratory and the MicroBooNE liquid argon time projection chamber detector with…
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We report on the first measurement of flux-integrated single differential cross sections for charged-current (CC) muon neutrino ($ν_μ$) scattering on argon with a muon and a proton in the final state, $^{40}$Ar($ν_μ$,$μ$p)X. The measurement was carried out using the Booster Neutrino Beam at Fermi National Accelerator Laboratory and the MicroBooNE liquid argon time projection chamber detector with an exposure of 4.59 $\times$ 10$^{19}$ protons on target. Events are selected to enhance the contribution of CC quasielastic (CCQE) interactions. The data are reported in terms of a total cross section as well as single differential cross sections in final state muon and proton kinematics. We measure the integrated per-nucleus CCQE-like cross section (i.e. for interactions leading to a muon, one proton and no pions above detection threshold) of (4.93 $\pm$ 0.76stat $\pm$ 1.29sys) $\times$ 10$^{-38}$cm$^2$, in good agreement with theoretical calculations. The single differential cross sections are also in overall good agreement with theoretical predictions, except at very forward muon scattering angles that correspond to low momentum-transfer events.
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Submitted 5 October, 2020; v1 submitted 29 May, 2020;
originally announced June 2020.
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Vertex-Finding and Reconstruction of Contained Two-track Neutrino Events in the MicroBooNE Detector
Authors:
MicroBooNE collaboration,
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
L. Bathe-Peters,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna,
G. Cerati
, et al. (164 additional authors not shown)
Abstract:
We describe algorithms developed to isolate and accurately reconstruct two-track events that are contained within the MicroBooNE detector. This method is optimized to reconstruct two tracks of lengths longer than 5 cm. This code has applications to searches for neutrino oscillations and measurements of cross sections using quasi-elastic-like charged current events. The algorithms we discuss will b…
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We describe algorithms developed to isolate and accurately reconstruct two-track events that are contained within the MicroBooNE detector. This method is optimized to reconstruct two tracks of lengths longer than 5 cm. This code has applications to searches for neutrino oscillations and measurements of cross sections using quasi-elastic-like charged current events. The algorithms we discuss will be applicable to all detectors running in Fermilab's Short Baseline Neutrino program (SBN), and to any future liquid argon time projection chamber (LArTPC) experiment with beam energies ~1 GeV. The algorithms are publicly available on a GITHUB repository. This reconstruction offers a complementary and independent alternative to the Pandora reconstruction package currently in use in LArTPC experiments, and provides similar reconstruction performance for two-track events.
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Submitted 7 December, 2020; v1 submitted 21 February, 2020;
originally announced February 2020.
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Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector
Authors:
P. Abratenko,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna,
G. Cerati,
Y. Chen,
E. Church
, et al. (159 additional authors not shown)
Abstract:
We present upper limits on the production of heavy neutral leptons (HNLs) decaying to $μπ$ pairs using data collected with the MicroBooNE liquid-argon time projection chamber (TPC) operating at Fermilab. This search is the first of its kind performed in a liquid-argon TPC. We use data collected in 2017 and 2018 corresponding to an exposure of $2.0 \times 10^{20}$ protons on target from the Fermila…
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We present upper limits on the production of heavy neutral leptons (HNLs) decaying to $μπ$ pairs using data collected with the MicroBooNE liquid-argon time projection chamber (TPC) operating at Fermilab. This search is the first of its kind performed in a liquid-argon TPC. We use data collected in 2017 and 2018 corresponding to an exposure of $2.0 \times 10^{20}$ protons on target from the Fermilab Booster Neutrino Beam, which produces mainly muon neutrinos with an average energy of $\approx 800$ MeV. HNLs with higher mass are expected to have a longer time-of-flight to the liquid-argon TPC than Standard Model neutrinos. The data are therefore recorded with a dedicated trigger configured to detect HNL decays that occur after the neutrino spill reaches the detector. We set upper limits at the $90\%$ confidence level on the element $\lvert U_{\mu4}\rvert^2$ of the extended PMNS mixing matrix in the range $\lvert U_{\mu4}\rvert^2<(6.6$-$0.9)\times 10^{-7}$ for Dirac HNLs and $\lvert U_{\mu4}\rvert^2<(4.7$-$0.7)\times 10^{-7}$ for Majorana HNLs, assuming HNL masses between $260$ and $385$ MeV and $\lvert U_{e 4}\rvert^2 = \lvert U_{τ4}\rvert^2 = 0$.
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Submitted 12 February, 2020; v1 submitted 24 November, 2019;
originally announced November 2019.
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Reconstruction and Measurement of $\mathcal{O}$(100) MeV Energy Electromagnetic Activity from $π^0 \rightarrow γγ$ Decays in the MicroBooNE LArTPC
Authors:
MicroBooNE collaboration,
C. Adams,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
M. Bass,
F. Bay,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Carr,
R. Castillo Fernandez
, et al. (164 additional authors not shown)
Abstract:
We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current $ν_μ$ interactions with final state $π^0$s. We employ a fully-automated reconstruction chain capable of identifying EM showers of $\mathcal{O}$(100) MeV energy, relying on a combination of traditional reconstruction techniques together with novel machine-learning approaches. These stu…
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We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current $ν_μ$ interactions with final state $π^0$s. We employ a fully-automated reconstruction chain capable of identifying EM showers of $\mathcal{O}$(100) MeV energy, relying on a combination of traditional reconstruction techniques together with novel machine-learning approaches. These studies demonstrate good energy resolution, and good agreement between data and simulation, relying on the reconstructed invariant $π^0$ mass and other photon distributions for validation. The reconstruction techniques developed are applied to a selection of $ν_μ + {\rm Ar} \rightarrow μ+ π^0 + X$ candidate events to demonstrate the potential for calorimetric separation of photons from electrons and reconstruction of $π^0$ kinematics.
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Submitted 4 October, 2019;
originally announced October 2019.
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A Method to Determine the Electric Field of Liquid Argon Time Projection Chambers Using a UV Laser System and its Application in MicroBooNE
Authors:
MicroBooNE collaboration,
C. Adams,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
M. Bass,
F. Bay,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Carr,
R. Castillo Fernandez
, et al. (165 additional authors not shown)
Abstract:
Liquid argon time projection chambers (LArTPCs) are now a standard detector technology for making accelerator neutrino measurements, due to their high material density, precise tracking, and calorimetric capabilities. An electric field (E-field) is required in such detectors to drift ionized electrons to the anode to be collected. The E-field of a TPC is often approximated to be uniform between th…
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Liquid argon time projection chambers (LArTPCs) are now a standard detector technology for making accelerator neutrino measurements, due to their high material density, precise tracking, and calorimetric capabilities. An electric field (E-field) is required in such detectors to drift ionized electrons to the anode to be collected. The E-field of a TPC is often approximated to be uniform between the anode and the cathode planes. However, significant distortions can appear from effects such as mechanical deformations, electrode failures, or the accumulation of space charge generated by cosmic rays. The latter is particularly relevant for detectors placed near the Earth's surface and with large drift distances and long drift time. To determine the E-field in situ, an ultraviolet (UV) laser system is installed in the MicroBooNE experiment at Fermi National Accelerator Laboratory. The purpose of this system is to provide precise measurements of the E-field, and to make it possible to correct for 3D spatial distortions due to E-field non-uniformities. Here we describe the methodology developed for deriving spatial distortions, the drift velocity and the E-field from UV-laser measurements.
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Submitted 15 October, 2019; v1 submitted 3 October, 2019;
originally announced October 2019.
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Calibration of the charge and energy loss per unit length of the MicroBooNE liquid argon time projection chamber using muons and protons
Authors:
MicroBooNE collaboration,
C. Adams,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
V. Basque,
M. Bass,
F. Bay,
S. Berkman,
A. Bhanderi,
A. Bhat,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Carr,
R. Castillo Fernandez
, et al. (164 additional authors not shown)
Abstract:
We describe a method used to calibrate the position- and time-dependent response of the MicroBooNE liquid argon time projection chamber anode wires to ionization particle energy loss. The method makes use of crossing cosmic-ray muons to partially correct anode wire signals for multiple effects as a function of time and position, including cross-connected TPC wires, space charge effects, electron a…
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We describe a method used to calibrate the position- and time-dependent response of the MicroBooNE liquid argon time projection chamber anode wires to ionization particle energy loss. The method makes use of crossing cosmic-ray muons to partially correct anode wire signals for multiple effects as a function of time and position, including cross-connected TPC wires, space charge effects, electron attachment to impurities, diffusion, and recombination. The overall energy scale is then determined using fully-contained beam-induced muons originating and stopping in the active region of the detector. Using this method, we obtain an absolute energy scale uncertainty of 2\% in data. We use stopping protons to further refine the relation between the measured charge and the energy loss for highly-ionizing particles. This data-driven detector calibration improves both the measurement of total deposited energy and particle identification based on energy loss per unit length as a function of residual range. As an example, the proton selection efficiency is increased by 2\% after detector calibration.
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Submitted 24 February, 2020; v1 submitted 26 July, 2019;
originally announced July 2019.
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First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at $E_ν\sim 0.8$ GeV with the MicroBooNE Detector
Authors:
P. Abratenko,
C. Adams,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
M. Auger,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
A. Bhat,
K. Bhattacharya,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Carr,
R. Castillo Fernandez,
F. Cavanna
, et al. (156 additional authors not shown)
Abstract:
We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab Booster neutrino beam and correspond to $1.6 \times 10^{20}$ protons on target of exposure. The measured differential cross sec…
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We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab Booster neutrino beam and correspond to $1.6 \times 10^{20}$ protons on target of exposure. The measured differential cross sections are presented as a function of muon momentum, using multiple Coulomb scattering as a momentum measurement technique, and the muon angle with respect to the beam direction. We compare the measured cross sections to multiple neutrino event generators and find better agreement with those containing more complete treatment of quasielastic scattering processes at low $Q^2$. The total flux integrated cross section is measured to be $0.693 \pm 0.010 \, (\text{stat}) \pm 0.165 \, (\text{syst}) \times 10^{-38} \, \text{cm}^{2}$.
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Submitted 30 September, 2019; v1 submitted 23 May, 2019;
originally announced May 2019.
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Design and construction of the MicroBooNE Cosmic Ray Tagger system
Authors:
MicroBooNE collaboration,
C. Adams,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
M. Auger,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
A. Bhat,
K. Bhattacharya,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Carr,
R. Castillo Fernandez,
F. Cavanna
, et al. (149 additional authors not shown)
Abstract:
The MicroBooNE detector utilizes a liquid argon time projection chamber (LArTPC) with an 85 t active mass to study neutrino interactions along the Booster Neutrino Beam (BNB) at Fermilab. With a deployment location near ground level, the detector records many cosmic muon tracks in each beam-related detector trigger that can be misidentified as signals of interest. To reduce these cosmogenic backgr…
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The MicroBooNE detector utilizes a liquid argon time projection chamber (LArTPC) with an 85 t active mass to study neutrino interactions along the Booster Neutrino Beam (BNB) at Fermilab. With a deployment location near ground level, the detector records many cosmic muon tracks in each beam-related detector trigger that can be misidentified as signals of interest. To reduce these cosmogenic backgrounds, we have designed and constructed a TPC-external Cosmic Ray Tagger (CRT). This sub-system was developed by the Laboratory for High Energy Physics (LHEP), Albert Einstein center for fundamental physics, University of Bern. The system utilizes plastic scintillation modules to provide precise time and position information for TPC-traversing particles. Successful matching of TPC tracks and CRT data will allow us to reduce cosmogenic background and better characterize the light collection system and LArTPC data using cosmic muons. In this paper we describe the design and installation of the MicroBooNE CRT system and provide an overview of a series of tests done to verify the proper operation of the system and its components during installation, commissioning, and physics data-taking.
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Submitted 15 March, 2019; v1 submitted 9 January, 2019;
originally announced January 2019.
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Rejecting cosmic background for exclusive neutrino interaction studies with Liquid Argon TPCs; a case study with the MicroBooNE detector
Authors:
MicroBooNE collaboration,
C. Adams,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
M. Auger,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
A. Bhat,
K. Bhattacharya,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Carr,
R. Castillo Fernandez,
F. Cavanna
, et al. (150 additional authors not shown)
Abstract:
Cosmic ray (CR) interactions can be a challenging source of background for neutrino oscillation and cross-section measurements in surface detectors. We present methods for CR rejection in measurements of charged-current quasielastic-like (CCQE-like) neutrino interactions, with a muon and a proton in the final state, measured using liquid argon time projection chambers (LArTPCs). Using a sample of…
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Cosmic ray (CR) interactions can be a challenging source of background for neutrino oscillation and cross-section measurements in surface detectors. We present methods for CR rejection in measurements of charged-current quasielastic-like (CCQE-like) neutrino interactions, with a muon and a proton in the final state, measured using liquid argon time projection chambers (LArTPCs). Using a sample of cosmic data collected with the MicroBooNE detector, mixed with simulated neutrino scattering events, a set of event selection criteria is developed that produces an event sample with minimal contribution from CR background. Depending on the selection criteria used a purity between 50% and 80% can be achieved with a signal selection efficiency between 50% and 25%, with higher purity coming at the expense of lower efficiency. While using a specific dataset from the MicroBooNE detector and selection criteria values optimized for CCQE-like events, the concepts presented here are generic and can be adapted for various studies of exclusive νμ interactions in LArTPCs.
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Submitted 2 January, 2019; v1 submitted 9 December, 2018;
originally announced December 2018.
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First Measurement of $ν_μ$ Charged-Current $π^{0}$ Production on Argon with a LArTPC
Authors:
MicroBooNE collaboration,
C. Adams,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
M. Auger,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
A. Bhat,
K. Bhattacharya,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Carr,
R. Castillo Fernandez,
F. Cavanna
, et al. (150 additional authors not shown)
Abstract:
We report the first measurement of the flux-integrated cross section of $ν_μ$ charged-current single $π^{0}$ production on argon. This measurement is performed with the MicroBooNE detector, an 85 ton active mass liquid argon time projection chamber exposed to the Booster Neutrino Beam at Fermilab. This result on argon is compared to past measurements on lighter nuclei to investigate the scaling as…
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We report the first measurement of the flux-integrated cross section of $ν_μ$ charged-current single $π^{0}$ production on argon. This measurement is performed with the MicroBooNE detector, an 85 ton active mass liquid argon time projection chamber exposed to the Booster Neutrino Beam at Fermilab. This result on argon is compared to past measurements on lighter nuclei to investigate the scaling assumptions used in models of the production and transport of pions in neutrino-nucleus scattering. The techniques used are an important demonstration of the successful reconstruction and analysis of neutrino interactions producing electromagnetic final states using a liquid argon time projection chamber operating at the earth's surface.
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Submitted 6 November, 2018;
originally announced November 2018.
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A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
Authors:
MicroBooNE collaboration,
C. Adams,
M. Alrashed,
R. An,
J. Anthony,
J. Asaadi,
A. Ashkenazi,
M. Auger,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
A. Bhat,
K. Bhattacharya,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
I. Caro Terrazas,
R. Carr,
R. Castillo Fernandez,
F. Cavanna
, et al. (148 additional authors not shown)
Abstract:
We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, and software tools developed to train this network. The goal of this work is to develop a complete deep neural network based data reconstruction cha…
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We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, and software tools developed to train this network. The goal of this work is to develop a complete deep neural network based data reconstruction chain for the MicroBooNE detector. We show the first demonstration of a network's validity on real LArTPC data using MicroBooNE collection plane images. The demonstration is performed for stopping muon and a $ν_μ$ charged current neutral pion data samples.
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Submitted 22 August, 2018;
originally announced August 2018.
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Dark Matter Search in Nucleon, Pion, and Electron Channels from a Proton Beam Dump with MiniBooNE
Authors:
MiniBooNE-DM Collaboration,
A. A. Aguilar-Arevalo,
M. Backfish,
A. Bashyal,
B. Batell,
B. C. Brown,
R. Carr,
A. Chatterjee,
R. L. Cooper,
P. deNiverville,
R. Dharmapalan,
Z. Djurcic,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
J. A. Green,
E. -C. Huang,
W. Huelsnitz,
I. L. de Icaza Astiz,
G. Karagiorgi,
T. Katori,
W. Ketchum,
T. Kobilarcik,
Q. Liu
, et al. (20 additional authors not shown)
Abstract:
A search for sub-GeV dark matter produced from collisions of the Fermilab 8 GeV Booster protons with a steel beam dump was performed by the MiniBooNE-DM Collaboration using data from $1.86 \times 10^{20}$ protons on target in a dedicated run. The MiniBooNE detector, consisting of 818 tons of mineral oil and located 490 meters downstream of the beam dump, is sensitive to a variety of dark matter in…
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A search for sub-GeV dark matter produced from collisions of the Fermilab 8 GeV Booster protons with a steel beam dump was performed by the MiniBooNE-DM Collaboration using data from $1.86 \times 10^{20}$ protons on target in a dedicated run. The MiniBooNE detector, consisting of 818 tons of mineral oil and located 490 meters downstream of the beam dump, is sensitive to a variety of dark matter initiated scattering reactions. Three dark matter interactions are considered for this analysis: elastic scattering off nucleons, inelastic neutral pion production, and elastic scattering off electrons. Multiple data sets were used to constrain flux and systematic errors, and time-of-flight information was employed to increase sensitivity to higher dark matter masses. No excess from the background predictions was observed, and 90$\%$ confidence level limits were set on the vector portal and leptophobic dark matter models. New parameter space is excluded in the vector portal dark matter model with a dark matter mass between 5 and 50$\,\mathrm{MeV}\,c^{-2}$. The reduced neutrino flux allowed to test if the MiniBooNE neutrino excess scales with the production of neutrinos. No excess of neutrino oscillation events were measured ruling out models that scale solely by number of protons on target independent of beam configuration at 4.6$σ$.
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Submitted 29 March, 2019; v1 submitted 16 July, 2018;
originally announced July 2018.
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Significant Excess of ElectronLike Events in the MiniBooNE Short-Baseline Neutrino Experiment
Authors:
MiniBooNE Collaboration,
A. A. Aguilar-Arevalo,
B. C. Brown,
L. Bugel,
G. Cheng,
J. M. Conrad,
R. L. Cooper,
R. Dharmapalan,
A. Diaz,
Z. Djurcic,
D. A. Finley,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
E. -C. Huang,
W. Huelsnitz,
C. Ignarra,
R. A. Johnson,
G. Karagiorgi,
T. Katori,
T. Kobilarcik,
W. C. Louis,
C. Mariani,
W. Marsh
, et al. (23 additional authors not shown)
Abstract:
The MiniBooNE experiment at Fermilab reports results from an analysis of $ν_e$ appearance data from $12.84 \times 10^{20}$ protons on target in neutrino mode, an increase of approximately a factor of two over previously reported results. A $ν_e$ charged-current quasielastic event excess of $381.2 \pm 85.2$ events ($4.5 σ$) is observed in the energy range $200<E_ν^{QE}<1250$~MeV. Combining these da…
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The MiniBooNE experiment at Fermilab reports results from an analysis of $ν_e$ appearance data from $12.84 \times 10^{20}$ protons on target in neutrino mode, an increase of approximately a factor of two over previously reported results. A $ν_e$ charged-current quasielastic event excess of $381.2 \pm 85.2$ events ($4.5 σ$) is observed in the energy range $200<E_ν^{QE}<1250$~MeV. Combining these data with the $\bar ν_e$ appearance data from $11.27 \times 10^{20}$ protons on target in antineutrino mode, a total $ν_e$ plus $\bar ν_e$ charged-current quasielastic event excess of $460.5 \pm 99.0$ events ($4.7 σ$) is observed. If interpreted in a two-neutrino oscillation model, $ν_μ \rightarrow ν_e$, the best oscillation fit to the excess has a probability of $21.1\%$, while the background-only fit has a $χ^2$ probability of $6 \times 10^{-7}$ relative to the best fit. The MiniBooNE data are consistent in energy and magnitude with the excess of events reported by the Liquid Scintillator Neutrino Detector (LSND), and the significance of the combined LSND and MiniBooNE excesses is $6.0 σ$. A two-neutrino oscillation interpretation of the data would require at least four neutrino types and indicate physics beyond the three neutrino paradigm.Although the data are fit with a two-neutrino oscillation model, other models may provide better fits to the data.
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Submitted 26 October, 2018; v1 submitted 30 May, 2018;
originally announced May 2018.
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Comparison of νμ-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions
Authors:
C. Adams,
R. An,
J. Anthony,
J. Asaadi,
M. Auger,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
A. Bhat,
K. Bhattacharya,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
R. Castillo Fernandez,
F. Cavanna,
G. Cerati,
H. Chen,
Y. Chen,
E. Church,
D. Cianci
, et al. (140 additional authors not shown)
Abstract:
We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate…
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We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800 MeV, using an exposure corresponding to 5E19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.
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Submitted 26 March, 2019; v1 submitted 17 May, 2018;
originally announced May 2018.
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Ionization Electron Signal Processing in Single Phase LArTPCs II. Data/Simulation Comparison and Performance in MicroBooNE
Authors:
MicroBooNE collaboration,
C. Adams,
R. An,
J. Anthony,
J. Asaadi,
M. Auger,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
A. Bhat,
K. Bhattacharya,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
R. Carr,
I. Caro Terrazas,
R. Castillo Fernandez,
F. Cavanna,
G. Cerati,
H. Chen
, et al. (146 additional authors not shown)
Abstract:
The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed information in the form of fine-grained drifted ionization charge from particle traces. To fully utilize this information, the deposited charge must be accurately extracted from the raw digitized waveforms via a robust signal processing chain. Enabled by the ultra-low noise levels associated with cry…
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The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed information in the form of fine-grained drifted ionization charge from particle traces. To fully utilize this information, the deposited charge must be accurately extracted from the raw digitized waveforms via a robust signal processing chain. Enabled by the ultra-low noise levels associated with cryogenic electronics in the MicroBooNE detector, the precise extraction of ionization charge from the induction wire planes in a single-phase LArTPC is qualitatively demonstrated on MicroBooNE data with event display images, and quantitatively demonstrated via waveform-level and track-level metrics. Improved performance of induction plane calorimetry is demonstrated through the agreement of extracted ionization charge measurements across different wire planes for various event topologies. In addition to the comprehensive waveform-level comparison of data and simulation, a calibration of the cryogenic electronics response is presented and solutions to various MicroBooNE-specific TPC issues are discussed. This work presents an important improvement in LArTPC signal processing, the foundation of reconstruction and therefore physics analyses in MicroBooNE.
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Submitted 11 June, 2018; v1 submitted 7 April, 2018;
originally announced April 2018.
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Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation
Authors:
MicroBooNE collaboration,
C. Adams,
R. An,
J. Anthony,
J. Asaadi,
M. Auger,
L. Bagby,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
A. Bhat,
K. Bhattacharya,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
R. Castillo Fernandez,
F. Cavanna,
G. Cerati,
H. Chen,
Y. Chen
, et al. (144 additional authors not shown)
Abstract:
We describe the concept and procedure of drifted-charge extraction developed in the MicroBooNE experiment, a single-phase liquid argon time projection chamber (LArTPC). This technique converts the raw digitized TPC waveform to the number of ionization electrons passing through a wire plane at a given time. A robust recovery of the number of ionization electrons from both induction and collection a…
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We describe the concept and procedure of drifted-charge extraction developed in the MicroBooNE experiment, a single-phase liquid argon time projection chamber (LArTPC). This technique converts the raw digitized TPC waveform to the number of ionization electrons passing through a wire plane at a given time. A robust recovery of the number of ionization electrons from both induction and collection anode wire planes will augment the 3D reconstruction, and is particularly important for tomographic reconstruction algorithms. A number of building blocks of the overall procedure are described. The performance of the signal processing is quantitatively evaluated by comparing extracted charge with the true charge through a detailed TPC detector simulation taking into account position-dependent induced current inside a single wire region and across multiple wires. Some areas for further improvement of the performance of the charge extraction procedure are also discussed.
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Submitted 9 April, 2018; v1 submitted 23 February, 2018;
originally announced February 2018.
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First Measurement of Monoenergetic Muon Neutrino Charged Current Interactions
Authors:
A. A. Aguilar-Arevalo,
B. C. Brown,
L. Bugel,
G. Cheng,
E. D. Church,
J. M. Conrad,
R. L. Cooper,
R. Dharmapalan,
Z. Djurcic,
D. A. Finley,
R. S. Fitzpatrick,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
W. Huelsnitz,
C. Ignarra,
R. Imlay,
R. A. Johnson,
J. R. Jordan,
G. Karagiorgi,
T. Katori,
T. Kobilarcik,
W. C. Louis,
K. Mahn
, et al. (24 additional authors not shown)
Abstract:
We report the first measurement of monoenergetic muon neutrino charged current interactions. MiniBooNE has isolated 236 MeV muon neutrino events originating from charged kaon decay at rest ($K^+ \rightarrow μ^+ ν_μ$) at the NuMI beamline absorber. These signal $ν_μ$-carbon events are distinguished from primarily pion decay in flight $ν_μ$ and $\overlineν_μ$ backgrounds produced at the target stati…
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We report the first measurement of monoenergetic muon neutrino charged current interactions. MiniBooNE has isolated 236 MeV muon neutrino events originating from charged kaon decay at rest ($K^+ \rightarrow μ^+ ν_μ$) at the NuMI beamline absorber. These signal $ν_μ$-carbon events are distinguished from primarily pion decay in flight $ν_μ$ and $\overlineν_μ$ backgrounds produced at the target station and decay pipe using their arrival time and reconstructed muon energy. The significance of the signal observation is at the 3.9$σ$ level. The muon kinetic energy, neutrino-nucleus energy transfer ($ω=E_ν-E_μ$), and total cross section for these events is extracted. This result is the first known-energy, weak-interaction-only probe of the nucleus to yield a measurement of $ω$ using neutrinos, a quantity thus far only accessible through electron scattering.
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Submitted 7 May, 2018; v1 submitted 11 January, 2018;
originally announced January 2018.
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The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector
Authors:
MicroBooNE collaboration,
R. Acciarri,
C. Adams,
R. An,
J. Anthony,
J. Asaadi,
M. Auger,
L. Bagby,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
B. Carls,
R. Castillo Fernandez,
F. Cavanna,
H. Chen,
E. Church,
D. Cianci
, et al. (123 additional authors not shown)
Abstract:
The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pando…
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The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies.
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Submitted 10 August, 2017;
originally announced August 2017.
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Measurement of cosmic-ray reconstruction efficiencies in the MicroBooNE LArTPC using a small external cosmic-ray counter
Authors:
MicroBooNE collaboration,
R. Acciarri,
C. Adams,
R. An,
J. Anthony,
J. Asaadi,
M. Auger,
L. Bagby,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
M. Bishai,
A. Blake,
T. Bolton,
L. Camilleri,
D. Caratelli,
B. Carls,
R. Castillo Fernandez,
F. Cavanna,
H. Chen,
E. Church,
D. Cianci
, et al. (126 additional authors not shown)
Abstract:
The MicroBooNE detector is a liquid argon time projection chamber at Fermilab designed to study short-baseline neutrino oscillations and neutrino-argon interaction cross-section. Due to its location near the surface, a good understanding of cosmic muons as a source of backgrounds is of fundamental importance for the experiment. We present a method of using an external 0.5 m (L) x 0.5 m (W) muon co…
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The MicroBooNE detector is a liquid argon time projection chamber at Fermilab designed to study short-baseline neutrino oscillations and neutrino-argon interaction cross-section. Due to its location near the surface, a good understanding of cosmic muons as a source of backgrounds is of fundamental importance for the experiment. We present a method of using an external 0.5 m (L) x 0.5 m (W) muon counter stack, installed above the main detector, to determine the cosmic-ray reconstruction efficiency in MicroBooNE. Data are acquired with this external muon counter stack placed in three different positions, corresponding to cosmic rays intersecting different parts of the detector. The data reconstruction efficiency of tracks in the detector is found to be $ε_{\mathrm{data}}=(97.1\pm0.1~(\mathrm{stat}) \pm 1.4~(\mathrm{sys}))\%$, in good agreement with the Monte Carlo reconstruction efficiency $ε_{\mathrm{MC}} = (97.4\pm0.1)\%$. This analysis represents a small-scale demonstration of the method that can be used with future data coming from a recently installed cosmic-ray tagger system, which will be able to tag $\approx80\%$ of the cosmic rays passing through the MicroBooNE detector.
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Submitted 31 July, 2017;
originally announced July 2017.
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Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC
Authors:
MicroBooNE collaboration,
R. Acciarri,
C. Adams,
R. An,
J. Anthony,
J. Asaadi,
M. Auger,
L. Bagby,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
M. Bishai,
A. Blake,
T. Bolton,
B. Bullard,
L. Camilleri,
D. Caratelli,
B. Carls,
R. Castillo Fernandez,
F. Cavanna,
H. Chen,
E. Church
, et al. (130 additional authors not shown)
Abstract:
The low-noise operation of readout electronics in a liquid argon time projection chamber (LArTPC) is critical to properly extract the distribution of ionization charge deposited on the wire planes of the TPC, especially for the induction planes. This paper describes the characteristics and mitigation of the observed noise in the MicroBooNE detector. The MicroBooNE's single-phase LArTPC comprises t…
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The low-noise operation of readout electronics in a liquid argon time projection chamber (LArTPC) is critical to properly extract the distribution of ionization charge deposited on the wire planes of the TPC, especially for the induction planes. This paper describes the characteristics and mitigation of the observed noise in the MicroBooNE detector. The MicroBooNE's single-phase LArTPC comprises two induction planes and one collection sense wire plane with a total of 8256 wires. Current induced on each TPC wire is amplified and shaped by custom low-power, low-noise ASICs immersed in the liquid argon. The digitization of the signal waveform occurs outside the cryostat. Using data from the first year of MicroBooNE operations, several excess noise sources in the TPC were identified and mitigated. The residual equivalent noise charge (ENC) after noise filtering varies with wire length and is found to be below 400 electrons for the longest wires (4.7 m). The response is consistent with the cold electronics design expectations and is found to be stable with time and uniform over the functioning channels. This noise level is significantly lower than previous experiments utilizing warm front-end electronics.
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Submitted 20 May, 2017;
originally announced May 2017.
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Michel Electron Reconstruction Using Cosmic-Ray Data from the MicroBooNE LArTPC
Authors:
MicroBooNE collaboration,
R. Acciarri,
C. Adams,
R. An,
J. Anthony,
J. Asaadi,
M. Auger,
L. Bagby,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
M. Bishai,
A. Blake,
T. Bolton,
L. Bugel,
L. Camilleri,
D. Caratelli,
B. Carls,
R. Castillo Fernandez,
F. Cavanna,
H. Chen,
E. Church
, et al. (121 additional authors not shown)
Abstract:
The MicroBooNE liquid argon time projection chamber (LArTPC) has been taking data at Fermilab since 2015 collecting, in addition to neutrino beam, cosmic-ray muons. Results are presented on the reconstruction of Michel electrons produced by the decay at rest of cosmic-ray muons. Michel electrons are abundantly produced in the TPC, and given their well known energy spectrum can be used to study Mic…
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The MicroBooNE liquid argon time projection chamber (LArTPC) has been taking data at Fermilab since 2015 collecting, in addition to neutrino beam, cosmic-ray muons. Results are presented on the reconstruction of Michel electrons produced by the decay at rest of cosmic-ray muons. Michel electrons are abundantly produced in the TPC, and given their well known energy spectrum can be used to study MicroBooNE's detector response to low-energy electrons (electrons with energies up to ~50 MeV). We describe the fully-automated algorithm developed to reconstruct Michel electrons, with which a sample of ~14,000 Michel electron candidates is obtained. Most of this article is dedicated to studying the impact of radiative photons produced by Michel electrons on the accuracy and resolution of their energy measurement. In this energy range, ionization and bremsstrahlung photon production contribute similarly to electron energy loss in argon, leading to a complex electron topology in the TPC. By profiling the performance of the reconstruction algorithm on simulation we show that the ability to identify and include energy deposited by radiative photons leads to a significant improvement in the energy measurement of low-energy electrons. The fractional energy resolution we measure improves from over 30% to ~20% when we attempt to include radiative photons in the reconstruction. These studies are relevant to a large number of analyses which aim to study neutrinos by measuring electrons produced by $ν_e$ interactions over a broad energy range.
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Submitted 30 August, 2017; v1 submitted 10 April, 2017;
originally announced April 2017.
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Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering
Authors:
MicroBooNE collaboration,
P. Abratenko,
R. Acciarri,
C. Adams,
R. An,
J. Asaadi,
M. Auger,
L. Bagby,
S. Balasubramanian,
B. Baller,
C. Barnes,
G. Barr,
M. Bass,
F. Bay,
M. Bishai,
A. Blake,
T. Bolton,
L. Bugel,
L. Camilleri,
D. Caratelli,
B. Carls,
R. Castillo Fernandez,
F. Cavanna,
H. Chen,
E. Church
, et al. (123 additional authors not shown)
Abstract:
We discuss a technique for measuring a charged particle's momentum by means of multiple Coulomb scattering (MCS) in the MicroBooNE liquid argon time projection chamber (LArTPC). This method does not require the full particle ionization track to be contained inside of the detector volume as other track momentum reconstruction methods do (range-based momentum reconstruction and calorimetric momentum…
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We discuss a technique for measuring a charged particle's momentum by means of multiple Coulomb scattering (MCS) in the MicroBooNE liquid argon time projection chamber (LArTPC). This method does not require the full particle ionization track to be contained inside of the detector volume as other track momentum reconstruction methods do (range-based momentum reconstruction and calorimetric momentum reconstruction). We motivate use of this technique, describe a tuning of the underlying phenomenological formula, quantify its performance on fully contained beam-neutrino-induced muon tracks both in simulation and in data, and quantify its performance on exiting muon tracks in simulation. Using simulation, we have shown that the standard Highland formula should be re-tuned specifically for scattering in liquid argon, which significantly improves the bias and resolution of the momentum measurement. With the tuned formula, we find agreement between data and simulation for contained tracks, with a small bias in the momentum reconstruction and with resolutions that vary as a function of track length, improving from about 10% for the shortest (one meter long) tracks to 5% for longer (several meter) tracks. For simulated exiting muons with at least one meter of track contained, we find a similarly small bias, and a resolution which is less than 15% for muons with momentum below 2 GeV/c. Above 2 GeV/c, results are given as a first estimate of the MCS momentum measurement capabilities of MicroBooNE for high momentum exiting tracks.
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Submitted 5 October, 2017; v1 submitted 17 March, 2017;
originally announced March 2017.
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Dark Matter Search in a Proton Beam Dump with MiniBooNE
Authors:
A. A. Aguilar-Arevalo,
M. Backfish,
A. Bashyal,
B. Batell,
B. C. Brown,
R. Carr,
A. Chatterjee,
R. L. Cooper,
P. deNiverville,
R. Dharmapalan,
Z. Djurcic,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
J. A. Green,
W. Huelsnitz,
I. L. de Icaza Astiz,
G. Karagiorgi,
T. Katori,
W. Ketchum,
T. Kobilarcik,
Q. Liu,
W. C. Louis,
W. Marsh
, et al. (18 additional authors not shown)
Abstract:
The MiniBooNE-DM collaboration searched for vector-boson mediated production of dark matter using the Fermilab 8 GeV Booster proton beam in a dedicated run with $1.86 \times 10^{20}$ protons delivered to a steel beam dump. The MiniBooNE detector, 490~m downstream, is sensitive to dark matter via elastic scattering with nucleons in the detector mineral oil. Analysis methods developed for previous M…
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The MiniBooNE-DM collaboration searched for vector-boson mediated production of dark matter using the Fermilab 8 GeV Booster proton beam in a dedicated run with $1.86 \times 10^{20}$ protons delivered to a steel beam dump. The MiniBooNE detector, 490~m downstream, is sensitive to dark matter via elastic scattering with nucleons in the detector mineral oil. Analysis methods developed for previous MiniBooNE scattering results were employed, and several constraining data sets were simultaneously analyzed to minimize systematic errors from neutrino flux and interaction rates. No excess of events over background was observed, leading to a 90\% confidence limit on the dark-matter cross section parameter, $Y=ε^2α_D(m_χ/m_V)^4 \lesssim10^{-8}$, for $α_D=0.5$ and for dark-matter masses of $0.01<m_χ<0.3~\mathrm{GeV}$ in a vector portal model of dark matter. This is the best limit from a dedicated proton beam dump search in this mass and coupling range and extends below the mass range of direct dark matter searches. These results demonstrate a novel and powerful approach to dark matter searches with beam dump experiments.
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Submitted 23 August, 2017; v1 submitted 8 February, 2017;
originally announced February 2017.
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Design and Construction of the MicroBooNE Detector
Authors:
MicroBooNE Collaboration,
R. Acciarri,
C. Adams,
R. An,
A. Aparicio,
S. Aponte,
J. Asaadi,
M. Auger,
N. Ayoub,
L. Bagby,
B. Baller,
R. Barger,
G. Barr,
M. Bass,
F. Bay,
K. Biery,
M. Bishai,
A. Blake,
V. Bocean,
D. Boehnlein,
V. D. Bogert,
T. Bolton,
L. Bugel,
C. Callahan,
L. Camilleri
, et al. (215 additional authors not shown)
Abstract:
This paper describes the design and construction of the MicroBooNE liquid argon time projection chamber and associated systems. MicroBooNE is the first phase of the Short Baseline Neutrino program, located at Fermilab, and will utilize the capabilities of liquid argon detectors to examine a rich assortment of physics topics. In this document details of design specifications, assembly procedures, a…
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This paper describes the design and construction of the MicroBooNE liquid argon time projection chamber and associated systems. MicroBooNE is the first phase of the Short Baseline Neutrino program, located at Fermilab, and will utilize the capabilities of liquid argon detectors to examine a rich assortment of physics topics. In this document details of design specifications, assembly procedures, and acceptance tests are reported.
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Submitted 17 January, 2017; v1 submitted 17 December, 2016;
originally announced December 2016.
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Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber
Authors:
MicroBooNE collaboration,
R. Acciarri,
C. Adams,
R. An,
J. Asaadi,
M. Auger,
L. Bagby,
B. Baller,
G. Barr,
M. Bass,
F. Bay,
M. Bishai,
A. Blake,
T. Bolton,
L. Bugel,
L. Camilleri,
D. Caratelli,
B. Carls,
R. Castillo Fernandez,
F. Cavanna,
H. Chen,
E. Church,
D. Cianci,
G. H. Collin,
J. M. Conrad
, et al. (114 additional authors not shown)
Abstract:
We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single particle images, the localization of single particle and neutrino interactions in an image, and the detection of a simulated neutrino event overlaid with cosmic ray backgrounds t…
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We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single particle images, the localization of single particle and neutrino interactions in an image, and the detection of a simulated neutrino event overlaid with cosmic ray backgrounds taken from real detector data. These studies demonstrate the potential of convolutional neural networks for particle identification or event detection on simulated neutrino interactions. We also address technical issues that arise when applying this technique to data from a large LArTPC at or near ground level.
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Submitted 16 November, 2016;
originally announced November 2016.
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A Proposal for a Three Detector Short-Baseline Neutrino Oscillation Program in the Fermilab Booster Neutrino Beam
Authors:
R. Acciarri,
C. Adams,
R. An,
C. Andreopoulos,
A. M. Ankowski,
M. Antonello,
J. Asaadi,
W. Badgett,
L. Bagby,
B. Baibussinov,
B. Baller,
G. Barr,
N. Barros,
M. Bass,
V. Bellini,
P. Benetti,
S. Bertolucci,
K. Biery,
H. Bilokon,
M. Bishai,
A. Bitadze,
A. Blake,
F. Boffelli,
T. Bolton,
M. Bonesini
, et al. (199 additional authors not shown)
Abstract:
A Short-Baseline Neutrino (SBN) physics program of three LAr-TPC detectors located along the Booster Neutrino Beam (BNB) at Fermilab is presented. This new SBN Program will deliver a rich and compelling physics opportunity, including the ability to resolve a class of experimental anomalies in neutrino physics and to perform the most sensitive search to date for sterile neutrinos at the eV mass-sca…
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A Short-Baseline Neutrino (SBN) physics program of three LAr-TPC detectors located along the Booster Neutrino Beam (BNB) at Fermilab is presented. This new SBN Program will deliver a rich and compelling physics opportunity, including the ability to resolve a class of experimental anomalies in neutrino physics and to perform the most sensitive search to date for sterile neutrinos at the eV mass-scale through both appearance and disappearance oscillation channels. Using data sets of 6.6e20 protons on target (P.O.T.) in the LAr1-ND and ICARUS T600 detectors plus 13.2e20 P.O.T. in the MicroBooNE detector, we estimate that a search for muon neutrino to electron neutrino appearance can be performed with ~5 sigma sensitivity for the LSND allowed (99% C.L.) parameter region. In this proposal for the SBN Program, we describe the physics analysis, the conceptual design of the LAr1-ND detector, the design and refurbishment of the T600 detector, the necessary infrastructure required to execute the program, and a possible reconfiguration of the BNB target and horn system to improve its performance for oscillation searches.
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Submitted 4 March, 2015;
originally announced March 2015.
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Using L/E Oscillation Probability Distributions
Authors:
A. A. Aguilar-Arevalo,
B. C. Brown,
L. Bugel,
G. Cheng,
E. D. Church,
J. M. Conrad,
R. Dharmapalan,
Z. Djurcic,
D. A. Finley,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
W. Huelsnitz,
C. Ignarra,
R. Imlay,
R. A. Johnson,
G. Karagiorgi,
T. Katori,
T. Kobilarcik,
W. C. Louis,
C. Mariani,
W. Marsh,
G. B. Mills,
J. Mirabal
, et al. (19 additional authors not shown)
Abstract:
This paper explores the use of $L/E$ oscillation probability distributions to compare experimental measurements and to evaluate oscillation models. In this case, $L$ is the distance of neutrino travel and $E$ is a measure of the interacting neutrino's energy. While comparisons using allowed and excluded regions for oscillation model parameters are likely the only rigorous method for these comparis…
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This paper explores the use of $L/E$ oscillation probability distributions to compare experimental measurements and to evaluate oscillation models. In this case, $L$ is the distance of neutrino travel and $E$ is a measure of the interacting neutrino's energy. While comparisons using allowed and excluded regions for oscillation model parameters are likely the only rigorous method for these comparisons, the $L/E$ distributions are shown to give qualitative information on the agreement of an experiment's data with a simple two-neutrino oscillation model. In more detail, this paper also outlines how the $L/E$ distributions can be best calculated and used for model comparisons. Specifically, the paper presents the $L/E$ data points for the final MiniBooNE data samples and, in the Appendix, explains and corrects the mistaken analysis published by the ICARUS collaboration.
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Submitted 11 July, 2014;
originally announced July 2014.
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A new investigation of electron neutrino appearance oscillations with improved sensitivity in the MiniBooNE+ experiment
Authors:
R. Dharmapalan,
S. Habib,
C. Jiang,
I. Stancu,
Z. Djurcic,
R. A. Johnson,
A. Wickremasinghe,
G. Karagiorgi,
M. H. Shaevitz,
B. C. Brown,
F. G. Garcia,
R. Ford,
W. Marsh,
C. D. Moore,
D. Perevalov,
C. C. Polly,
J. Grange,
J. Mousseau,
B. Osmanov,
H. Ray,
R. Cooper,
R. Tayloe,
R. Thornton,
G. T. Garvey,
W. Huelsnitz
, et al. (12 additional authors not shown)
Abstract:
We propose the addition of scintillator to the existing MiniBooNE detector to allow a test of the neutral-current/charged-current (NC/CC) nature of the MiniBooNE low-energy excess. Scintillator will enable the reconstruction of 2.2 MeV $γ$s from neutron-capture on protons following neutrino interactions. Low-energy CC interactions where the oscillation excess is observed should have associated neu…
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We propose the addition of scintillator to the existing MiniBooNE detector to allow a test of the neutral-current/charged-current (NC/CC) nature of the MiniBooNE low-energy excess. Scintillator will enable the reconstruction of 2.2 MeV $γ$s from neutron-capture on protons following neutrino interactions. Low-energy CC interactions where the oscillation excess is observed should have associated neutrons with less than a 10% probability. This is in contrast to the NC backgrounds that should have associated neutrons in approximately 50% of events. We will measure these neutron fractions with $ν_μ$ CC and NC events to eliminate that systematic uncertainty. This neutron-fraction measurement requires $6.5\times10^{20}$ protons on target delivered to MiniBooNE with scintillator added in order to increase the significance of an oscillation excess to over $5σ$.
This new phase of MiniBooNE will also enable additional important studies such as the spin structure of nucleon ($Δs$) via NC elastic scattering, a low-energy measurement of the neutrino flux via $\numu ^{12}C \rightarrow μ^{-} ^{12}N_\textrm{g.s.}$ scattering, and a test of the quasielastic assumption in neutrino energy reconstruction. These topics will yield important, highly-cited results over the next 5 years for a modest cost, and will help to train Ph.D. students and postdocs. This enterprise offers complementary information to that from the upcoming liquid Argon based MicroBooNE experiment. In addition, MicroBooNE is scheduled to receive neutrinos in early 2014, and there is minimal additional cost to also deliver beam to MiniBooNE.
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Submitted 2 October, 2013; v1 submitted 30 September, 2013;
originally announced October 2013.
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Measurement of the Antineutrino Neutral-Current Elastic Differential Cross Section
Authors:
A. A. Aguilar-Arevalo,
B. C. Brown,
L. Bugel,
G. Cheng,
E. D. Church,
J. M. Conrad,
R. Dharmapalan,
Z. Djurcic,
D. A. Finley,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
W. Huelsnitz,
C. Ignarra,
R. Imlay,
R. A. Johnson,
G. Karagiorgi,
T. Katori,
T. Kobilarcik,
W. C. Louis,
C. Mariani,
W. Marsh,
G. B. Mills,
J. Mirabal
, et al. (20 additional authors not shown)
Abstract:
We report the measurement of the flux-averaged antineutrino neutral current elastic scattering cross section ($dσ_{\bar νN \rightarrow \bar νN}/dQ^{2}$) on CH$_{2}$ by the MiniBooNE experiment using the largest sample of antineutrino neutral current elastic candidate events ever collected. The ratio of the antineutrino to neutrino neutral current elastic scattering cross sections and a ratio of an…
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We report the measurement of the flux-averaged antineutrino neutral current elastic scattering cross section ($dσ_{\bar νN \rightarrow \bar νN}/dQ^{2}$) on CH$_{2}$ by the MiniBooNE experiment using the largest sample of antineutrino neutral current elastic candidate events ever collected. The ratio of the antineutrino to neutrino neutral current elastic scattering cross sections and a ratio of antineutrino neutral current elastic to antineutrino charged current quasi elastic cross section is also presented.
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Submitted 27 September, 2013;
originally announced September 2013.
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Testing of Cryogenic Photomultiplier Tubes for the MicroBooNE Experiment
Authors:
T. Briese,
L. Bugel,
J. M. Conrad,
M. Fournier,
C. Ignarra,
B. J. P. Jones,
T. Katori,
R. Navarrete-Perez,
P. Nienaber,
T. McDonald,
B. Musolf,
A. Prakash,
E. Shockley,
T. Smidt,
K. Swanson,
M. Toups
Abstract:
The MicroBooNE detector, to be located on axis in the Booster Neutrino Beamline (BNB) at the Fermi National Accelerator Laboratory (Fermilab), consists of two main components: a large liquid argon time projection chamber (LArTPC), and a light collection system. Thirty 8-inch diameter Hamamatsu R5912-02mod cryogenic photomultiplier tubes (PMTs) will detect the scintillation light generated in the l…
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The MicroBooNE detector, to be located on axis in the Booster Neutrino Beamline (BNB) at the Fermi National Accelerator Laboratory (Fermilab), consists of two main components: a large liquid argon time projection chamber (LArTPC), and a light collection system. Thirty 8-inch diameter Hamamatsu R5912-02mod cryogenic photomultiplier tubes (PMTs) will detect the scintillation light generated in the liquid argon (LAr). This article first describes the MicroBooNE PMT performance test procedures, including how the light collection system functions in the detector, and the design of the PMT base. The design of the cryogenic test stand is then discussed, and finally the results of the cryogenic tests are reported.
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Submitted 17 June, 2013; v1 submitted 2 April, 2013;
originally announced April 2013.
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Improved Search for $\bar ν_μ\rightarrow \bar ν_e$ Oscillations in the MiniBooNE Experiment
Authors:
The MiniBooNE Collaboration,
A. A. Aguilar-Arevalo,
B. C. Brown,
L. Bugel,
G. Cheng,
E. D. Church,
J. M. Conrad,
R. Dharmapalan,
Z. Djurcic,
D. A. Finley,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
W. Huelsnitz,
C. Ignarra,
R. Imlay,
R. A. Johnson,
G. Karagiorgi,
T. Katori,
T. Kobilarcik,
W. C. Louis,
C. Mariani,
W. Marsh,
G. B. Mills
, et al. (20 additional authors not shown)
Abstract:
The MiniBooNE experiment at Fermilab reports results from an analysis of $\bar ν_e$ appearance data from $11.27 \times 10^{20}$ protons on target in antineutrino mode, an increase of approximately a factor of two over the previously reported results. An event excess of $78.4 \pm 28.5$ events ($2.8 σ$) is observed in the energy range $200<E_ν^{QE}<1250$ MeV. If interpreted in a two-neutrino oscilla…
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The MiniBooNE experiment at Fermilab reports results from an analysis of $\bar ν_e$ appearance data from $11.27 \times 10^{20}$ protons on target in antineutrino mode, an increase of approximately a factor of two over the previously reported results. An event excess of $78.4 \pm 28.5$ events ($2.8 σ$) is observed in the energy range $200<E_ν^{QE}<1250$ MeV. If interpreted in a two-neutrino oscillation model, $\barν_μ\rightarrow\barν_e$, the best oscillation fit to the excess has a probability of 66% while the background-only fit has a $χ^2$-probability of 0.5% relative to the best fit. The data are consistent with antineutrino oscillations in the $0.01 < Δm^2 < 1.0$ eV$^2$ range and have some overlap with the evidence for antineutrino oscillations from the Liquid Scintillator Neutrino Detector (LSND). All of the major backgrounds are constrained by in-situ event measurements so non-oscillation explanations would need to invoke new anomalous background processes. The neutrino mode running also shows an excess at low energy of $162.0 \pm 47.8$ events ($3.4 σ$) but the energy distribution of the excess is marginally compatible with a simple two neutrino oscillation formalism. Expanded models with several sterile neutrinos can reduce the incompatibility by allowing for CP violating effects between neutrino and antineutrino oscillations.
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Submitted 12 March, 2013; v1 submitted 11 March, 2013;
originally announced March 2013.
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First Measurement of the Muon Anti-Neutrino Double-Differential Charged Current Quasi-Elastic Cross Section
Authors:
A. A. Aguilar-Arevalo,
B. C. Brown,
L. Bugel,
G. Cheng,
E. D. Church,
J. M. Conrad,
R. Dharmapalan,
Z. Djurcic,
D. A. Finley,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
W. Huelsnitz,
C. Ignarra,
R. Imlay,
R. A. Johnson,
G. Karagiorgi,
T. Katori,
T. Kobilarcik,
W. C. Louis,
C. Mariani,
W. Marsh,
G. B. Mills,
J. Mirabal
, et al. (20 additional authors not shown)
Abstract:
The largest sample ever recorded of $\numub$ charged-current quasi-elastic (CCQE, $\numub + p \to \mup + n$) candidate events is used to produce the minimally model-dependent, flux-integrated double-differential cross section $\frac{d^{2}σ}{dT_μd\uz}$ for $\numub$ incident on mineral oil. This measurement exploits the unprecedented statistics of the MiniBooNE anti-neutrino mode sample and provides…
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The largest sample ever recorded of $\numub$ charged-current quasi-elastic (CCQE, $\numub + p \to \mup + n$) candidate events is used to produce the minimally model-dependent, flux-integrated double-differential cross section $\frac{d^{2}σ}{dT_μd\uz}$ for $\numub$ incident on mineral oil. This measurement exploits the unprecedented statistics of the MiniBooNE anti-neutrino mode sample and provides the most complete information of this process to date. Also given to facilitate historical comparisons are the flux-unfolded total cross section $σ(E_ν)$ and single-differential cross section $\frac{dσ}{d\qsq}$ on both mineral oil and on carbon by subtracting the $\numub$ CCQE events on hydrogen. The observed cross section is somewhat higher than the predicted cross section from a model assuming independently-acting nucleons in carbon with canonical form factor values. The shape of the data are also discrepant with this model. These results have implications for intra-nuclear processes and can help constrain signal and background processes for future neutrino oscillation measurements.
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Submitted 4 August, 2013; v1 submitted 29 January, 2013;
originally announced January 2013.
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Low Mass WIMP Searches with a Neutrino Experiment: A Proposal for Further MiniBooNE Running
Authors:
A. A. Aguilar-Arevalo,
B. Batell,
R. Cooper,
P. deNiverville,
R. Dharmapalan,
Z. Djurcic,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
S. Habib,
W. Huelsnitz,
C. Jiang,
R. A. Johnson,
W. Ketchum,
T. Kobilarcik,
W. C. Louis,
W. Marsh,
D. McKeen,
G. B. Mills,
J. Mirabal,
C. D. Moore,
P. Nienaber,
Z. Pavlovic,
D. Perevalov
, et al. (8 additional authors not shown)
Abstract:
A proposal submitted to the FNAL PAC is described to search for light sub-GeV WIMP dark matter at MiniBooNE. The possibility to steer the beam past the target and into an absorber leads to a significant reduction in neutrino background, allowing for a sensitive search for elastic scattering of WIMPs off nucleons or electrons in the detector. Dark matter models involving a vector mediator can be pr…
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A proposal submitted to the FNAL PAC is described to search for light sub-GeV WIMP dark matter at MiniBooNE. The possibility to steer the beam past the target and into an absorber leads to a significant reduction in neutrino background, allowing for a sensitive search for elastic scattering of WIMPs off nucleons or electrons in the detector. Dark matter models involving a vector mediator can be probed in a parameter region consistent with the required thermal relic density, and which overlaps the region in which these models can resolve the muon g-2 discrepancy. Estimates of signal significance are presented for various operational modes and parameter points. The experimental approach outlined for applying MiniBooNE to a light WIMP search may also be applicable to other neutrino facilities.
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Submitted 9 November, 2012;
originally announced November 2012.
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Letter of Intent: A new investigation of numu to nue oscillations with improved sensitivity in an enhanced MiniBooNE experiment
Authors:
A. A. Aguilar-Arevalo,
B. C. Brown,
L. Bugel,
R. Cooper,
J. M. Conrad,
R. Dharmapalan,
R. Ford,
Z. Djurcic,
F. G. Garcia,
G. T. Garvey,
J. Grange,
S. Habib,
W. Huelsnitz,
R. Imlay,
C. Jiang,
G. Karagiorgi,
W. C. Louis,
R. A. Johnson,
W. Marsh,
C. Mauger,
G. B. Mills,
C. D. Moore,
J. Mousseau,
P. Nienaber,
B. Osmanov
, et al. (11 additional authors not shown)
Abstract:
We propose adding 300 mg/l PPO to the existing MiniBooNE detector mineral oil to increase the scintillation response. This will allow the detection of associated neutrons and increase sensitivity to final-state nucleons in neutrino interactions. This increased capability will enable an independent test of whether the current excess seen in the MiniBooNE oscillation search is signal or background.…
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We propose adding 300 mg/l PPO to the existing MiniBooNE detector mineral oil to increase the scintillation response. This will allow the detection of associated neutrons and increase sensitivity to final-state nucleons in neutrino interactions. This increased capability will enable an independent test of whether the current excess seen in the MiniBooNE oscillation search is signal or background. In addition it will enable other neutrino interaction measurements to be made including a search for the strange-quark contribution to the nucleon spin Delta s and a low-energy measurement of charged-current quasielastic scattering.
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Submitted 8 October, 2012;
originally announced October 2012.
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Dual baseline search for muon antineutrino disappearance at 0.1 eV^2 < Δm^2 < 100 eV^2
Authors:
MiniBooNE Collaboration,
SciBooNE Collaboration,
G. Cheng,
W. Huelsnitz,
A. A. Aguilar-Arevalo,
J. L. Alcaraz-Aunion,
S. J. Brice,
B. C. Brown,
L. Bugel,
J. Catala-Perez,
E. D. Church,
J. M. Conrad,
R. Dharmapalan,
Z. Djurcic,
U. Dore,
D. A. Finley,
R. Ford,
A. J. Franke,
F. G. Garcia,
G. T. Garvey,
C. Giganti,
J. J. Gomez-Cadenas,
J. Grange,
P. Guzowski,
A. Hanson
, et al. (66 additional authors not shown)
Abstract:
The MiniBooNE and SciBooNE collaborations report the results of a joint search for short baseline disappearance of \bar{ν_μ} at Fermilab's Booster Neutrino Beamline. The MiniBooNE Cherenkov detector and the SciBooNE tracking detector observe antineutrinos from the same beam, therefore the combined analysis of their datasets serves to partially constrain some of the flux and cross section uncertain…
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The MiniBooNE and SciBooNE collaborations report the results of a joint search for short baseline disappearance of \bar{ν_μ} at Fermilab's Booster Neutrino Beamline. The MiniBooNE Cherenkov detector and the SciBooNE tracking detector observe antineutrinos from the same beam, therefore the combined analysis of their datasets serves to partially constrain some of the flux and cross section uncertainties. Uncertainties in the ν_μ background were constrained by neutrino flux and cross section measurements performed in both detectors. A likelihood ratio method was used to set a 90% confidence level upper limit on \bar{ν_μ} disappearance that dramatically improves upon prior limits in the Δm^2=0.1-100 eV^2 region.
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Submitted 5 November, 2012; v1 submitted 1 August, 2012;
originally announced August 2012.
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A Combined $ν_μ\to ν_e$ and $\barν_μ\to \barν_e$ Oscillation Analysis of the MiniBooNE Excesses
Authors:
MiniBooNE Collaboration,
A. A. Aguilar-Arevalo,
B. C. Brown,
L. Bugel,
G. Cheng,
E. D. Church,
J. M. Conrad,
R. Dharmapalan,
Z. Djurcic,
D. A. Finley,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
W. Huelsnitz,
C. Ignarra,
R. Imlay,
R. A. Johnson,
G. Karagiorgi,
T. Katori,
T. Kobilarcik,
W. C. Louis,
C. Mariani,
W. Marsh,
G. B. Mills
, et al. (20 additional authors not shown)
Abstract:
The MiniBooNE experiment at Fermilab reports results from an analysis of the combined $ν_e$ and $\bar ν_e$ appearance data from $6.46 \times 10^{20}$ protons on target in neutrino mode and $11.27 \times 10^{20}$ protons on target in antineutrino mode. A total excess of $240.3 \pm 34.5 \pm 52.6$ events ($3.8 σ$) is observed from combining the two data sets in the energy range $200<E_ν^{QE}<1250$ Me…
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The MiniBooNE experiment at Fermilab reports results from an analysis of the combined $ν_e$ and $\bar ν_e$ appearance data from $6.46 \times 10^{20}$ protons on target in neutrino mode and $11.27 \times 10^{20}$ protons on target in antineutrino mode. A total excess of $240.3 \pm 34.5 \pm 52.6$ events ($3.8 σ$) is observed from combining the two data sets in the energy range $200<E_ν^{QE}<1250$ MeV. In a combined fit for CP-conserving $ν_μ\rightarrow ν_e$ and $\barν_μ\rightarrow\barν_e$ oscillations via a two-neutrino model, the background-only fit has a $χ^2$-probability of 0.03% relative to the best oscillation fit. The data are consistent with neutrino oscillations in the $0.01 < Δm^2 < 1.0$ eV$^2$ range and with the evidence for antineutrino oscillations from the Liquid Scintillator Neutrino Detector (LSND).
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Submitted 27 August, 2012; v1 submitted 19 July, 2012;
originally announced July 2012.
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Test of Lorentz and CPT violation with Short Baseline Neutrino Oscillation Excesses
Authors:
The MiniBooNE Collaboration,
A. A. Aguilar-Arevalo,
C. E. Anderson,
A. O. Bazarko,
S. J. Brice,
B. C. Brown,
L. Bugel,
J. Cao,
L. Coney,
J. M. Conrad,
D. C. Cox,
A. Curioni,
R. Dharmapalan,
Z. Djurcic,
D. A. Finley,
B. T. Fleming,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
C. Green,
J. A. Green,
T. L. Hart,
E. Hawker,
W. Huelsnitz
, et al. (63 additional authors not shown)
Abstract:
The sidereal time dependence of MiniBooNE electron neutrino and anti-electron neutrino appearance data are analyzed to search for evidence of Lorentz and CPT violation. An unbinned Kolmogorov-Smirnov test shows both the electron neutrino and anti-electron neutrino appearance data are compatible with the null sidereal variation hypothesis to more than 5%. Using an unbinned likelihood fit with a Lor…
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The sidereal time dependence of MiniBooNE electron neutrino and anti-electron neutrino appearance data are analyzed to search for evidence of Lorentz and CPT violation. An unbinned Kolmogorov-Smirnov test shows both the electron neutrino and anti-electron neutrino appearance data are compatible with the null sidereal variation hypothesis to more than 5%. Using an unbinned likelihood fit with a Lorentz-violating oscillation model derived from the Standard Model Extension (SME) to describe any excess events over background, we find that the electron neutrino appearance data prefer a sidereal time-independent solution, and the anti-electron neutrino appearance data slightly prefer a sidereal time-dependent solution. Limits of order 10E-20 GeV are placed on combinations of SME coefficients. These limits give the best limits on certain SME coefficients for muon neutrino to electron neutrino and anti-muon neutrino to anti-electron neutrino oscillations. The fit values and limits of combinations of SME coefficients are provided.
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Submitted 22 June, 2012; v1 submitted 15 September, 2011;
originally announced September 2011.
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Dual baseline search for muon neutrino disappearance at 0.5 eV^2 < Δm^2 < 40 eV^2
Authors:
MiniBooNE,
SciBooNE Collaborations,
:,
K. B. M. Mahn,
Y. Nakajima,
A. A. Aguilar-Arevalo,
J. L. Alcaraz-Aunion,
C. E. Anderson,
A. O. Bazarko,
S. J. Brice,
B. C. Brown,
L. Bugel,
J. Cao,
J. Catala-Perez,
G. Cheng,
L. Coney,
J. M. Conrad,
D. C. Cox,
A. Curioni,
R. Dharmapalan,
Z. Djurcic,
U. Dore,
D. A. Finley,
B. T. Fleming,
R. Ford
, et al. (105 additional authors not shown)
Abstract:
The SciBooNE and MiniBooNE collaborations report the results of a ν_μdisappearance search in the Δm^2 region of 0.5-40 eV^2. The neutrino rate as measured by the SciBooNE tracking detectors is used to constrain the rate at the MiniBooNE Cherenkov detector in the first joint analysis of data from both collaborations. Two separate analyses of the combined data samples set 90% confidence level (CL) l…
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The SciBooNE and MiniBooNE collaborations report the results of a ν_μdisappearance search in the Δm^2 region of 0.5-40 eV^2. The neutrino rate as measured by the SciBooNE tracking detectors is used to constrain the rate at the MiniBooNE Cherenkov detector in the first joint analysis of data from both collaborations. Two separate analyses of the combined data samples set 90% confidence level (CL) limits on ν_μdisappearance in the 0.5-40 eV^2 Δm^2 region, with an improvement over previous experimental constraints between 10 and 30 eV^2.
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Submitted 28 December, 2011; v1 submitted 28 June, 2011;
originally announced June 2011.
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Measurement of K+ production cross section by 8 GeV protons using high energy neutrino interactions in the SciBooNE detector
Authors:
The SciBooNE Collaboration,
G. Cheng,
C. Mariani,
J. L. Alcaraz-Aunion,
S. J. Brice,
L. Bugel,
J. Catala-Perez,
J. M. Conrad,
Z. Djurcic,
U. Dore,
D. A. Finley,
A. J. Franke,
C. Giganti,
a J. J. Gomez-Cadenas,
P. Guzowski,
A. Hanson,
Y. Hayato,
K. Hiraide,
G. Jover-Manas,
G. Karagiorgi,
T. Katori,
Y. K. Kobayashi,
T. Kobilarcik,
H. Kubo,
Y. Kurimoto
, et al. (39 additional authors not shown)
Abstract:
The SciBooNE Collaboration reports K+ production cross section and rate measurements using high energy daughter muon neutrino scattering data off the SciBar polystyrene (C8H8) target in the SciBooNE detector. The K+ mesons are produced by 8 GeV protons striking a beryllium target in Fermilab Booster Neutrino Beam line (BNB). Using observed neutrino and antineutrino events in SciBooNE, we measure d…
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The SciBooNE Collaboration reports K+ production cross section and rate measurements using high energy daughter muon neutrino scattering data off the SciBar polystyrene (C8H8) target in the SciBooNE detector. The K+ mesons are produced by 8 GeV protons striking a beryllium target in Fermilab Booster Neutrino Beam line (BNB). Using observed neutrino and antineutrino events in SciBooNE, we measure d2σ/dpdΩ = (5.34 \times 0.76) mb/(GeV/c \times sr) for p + Be -> K+ + X at mean K+ energy of 3.9 GeV and angle (with respect to the proton beam direction) of 3.7 degrees, corresponding to the selected K+ sample. Compared to Monte Carlo predictions using previous higher energy K+ production measurements, this measurement, which uses the NUANCE neutrino interaction generator, is consistent with a normalization factor of 0.85\times0.12. This agreement is evidence that the extrapolation of the higher energy K+ measurements to an 8 GeV beam energy using Feynman scaling is valid. This measurement reduces the error on the K+ production cross section from 40% to 14%.
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Submitted 29 July, 2011; v1 submitted 14 May, 2011;
originally announced May 2011.
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Measurement of the neutrino component of an anti-neutrino beam observed by a non-magnetized detector
Authors:
A. A. Aguilar-Arevalo,
C. E. Anderson,
S. J. Brice,
B. C. Brown,
L. Bugel,
J. M. Conrad,
R. Dharmapalan,
Z. Djurcic,
B. T. Fleming,
R. Ford,
F. G. Garcia,
G. T. Garvey,
J. Grange,
J. A. Green,
R. Imlay,
R. A. Johnson,
G. Karagiorgi,
T. Katori,
T. Kobilarcik,
S. K. Linden,
W. C. Louis,
K. B. M. Mahn,
W. Marsh,
C. Mauger,
W. Metcalf
, et al. (29 additional authors not shown)
Abstract:
Two independent methods are employed to measure the neutrino flux of the anti-neutrino-mode beam observed by the MiniBooNE detector. The first method compares data to simulated event rates in a high purity $\numu$ induced charged-current single $\pip$ (CC1$\pip$) sample while the second exploits the difference between the angular distributions of muons created in $\numu$ and $\numub$ charged-curre…
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Two independent methods are employed to measure the neutrino flux of the anti-neutrino-mode beam observed by the MiniBooNE detector. The first method compares data to simulated event rates in a high purity $\numu$ induced charged-current single $\pip$ (CC1$\pip$) sample while the second exploits the difference between the angular distributions of muons created in $\numu$ and $\numub$ charged-current quasi-elastic (CCQE) interactions. The results from both analyses indicate the prediction of the neutrino flux component of the pre-dominately anti-neutrino beam is over-estimated - the CC1$\pip$ analysis indicates the predicted $\numu$ flux should be scaled by $0.76 \pm 0.11$, while the CCQE angular fit yields $0.65 \pm 0.23$. The energy spectrum of the flux prediction is checked by repeating the analyses in bins of reconstructed neutrino energy, and the results show that the spectral shape is well modeled. These analyses are a demonstration of techniques for measuring the neutrino contamination of anti-neutrino beams observed by future non-magnetized detectors.
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Submitted 29 January, 2013; v1 submitted 9 February, 2011;
originally announced February 2011.