D. Andrade Aldana’s research while affiliated with Illinois Institute of Technology and other places

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Publications (36)


FIG. 1. A νµ +Ar → µ − +K + interaction candidate observed in MicroBooNE data recorded by the collection plane. The color scale represents the intensity of the ionization charge collected on the TPC wires (green: low intensity, red: high intensity). The x and y-axes represent the wire position in the beam direction and the distance in the drift direction, respectively. The gap shown on each track is due to a region in the detector with no active wires.
First Measurement of Charged Current Muon Neutrino-Induced K+K^+ Production on Argon using the MicroBooNE Detector
  • Preprint
  • File available

February 2025

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4 Reads

MicroBooNE collaboration

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D. Andrade Aldana

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C. Zhang

The MicroBooNE experiment is an 85 tonne active mass liquid argon time projection chamber neutrino detector exposed to the on-axis Booster Neutrino Beam (BNB) at Fermilab. One of MicroBooNE's physics goals is the precise measurement of neutrino interactions on argon in the 1 GeV energy regime. Building on the capabilities of the MicroBooNE detector, this analysis identifies K+K^{+} mesons, a key signature for the study of strange particle production in neutrino interactions. This measurement is furthermore valuable for background estimation for future nucleon decay searches and for improved reconstruction and particle identification capabilities in experiments such as the Deep Underground Neutrino Experiment (DUNE). In this letter, we present the first-ever measurement of a flux-integrated cross section for charged-current muon neutrino induced K+K^{+} production on argon nuclei, determined to be 7.93 ±\pm 3.27 (stat.) ±\pm 2.92 (syst.) × 1042  \times~10^{-42}\; cm2^2/nucleon based on an analysis of 6.88×1020\times10^{20} protons on target.

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FIG. 1. An example of the dark sector models being probed. An incoming muon-neutrino from the BNB scatters off an argon target producing a dark neutrino. The subsequent decay of the dark neutrino leads to a visible e + e − pair, mediated via a new dark gauge boson (Z ′ ). A simulated event is also shown behind the e + e − arrows to represent what an e + e − pair would actually look like in our LArTPC detector after forming electromagnetic showers.
First Search for Dark Sector e+ee^+e^- Explanations of the MiniBooNE Anomaly at MicroBooNE

February 2025

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10 Reads

We present MicroBooNE's first search for dark sector e+ee^+e^- explanations of the long-standing MiniBooNE anomaly. The MiniBooNE anomaly has garnered significant attention over the past 20 years including previous MicroBooNE investigations into both anomalous electron and photon excesses, but its origin still remains unclear. In this letter, we provide the first direct test of dark sector models in which dark neutrinos, produced through neutrino-induced scattering, decay into missing energy and visible e+ee^+e^- pairs comprising the MiniBooNE anomaly. Many such models have recently gained traction as a viable solution to the anomaly while evading past bounds. Using an exposure of 6.87×10206.87 \times 10^{20} protons-on-target in the Booster Neutrino Beam, we implement a selection targeting forward-going, coherently produced e+ee^+e^- events. After unblinding, we observe 95 events, which we compare with the constrained background-only prediction of 69.7±17.369.7 \pm 17.3. This analysis sets the world's first direct limits on these dark sector models and, at the 95\% confidence level, excludes the majority of the parameter space viable as a solution to the MiniBooNE anomaly.


FIG. 3. A protonlike blip (top) from cosmic data and a lowenergy electron blip (bottom) from simulation, as they appear in the MicroBooNE TPC event displays. Vertical columns represent individual wires on a wire plane, with the color scale indicating the relative charge collected at each ADC sample. This particular feature results in a cluster of hits spanning four (top) and six (bottom) wires, respectively. The metrics dx and dw, described in the text, correspond to the measured lengths of the cluster along the drift direction and projected along the axis perpendicular to wires.
FIG. 7. Distributions of reconstructed blip size ds (top) and average blip energy per unit length E=ds (bottom), plotted against the reconstructed blip energy. Striped patterns present in these distributions are artifacts of the discrete spacing of MicroBooNE's charge collection elements. The smaller secondary population extending to high ds in the top panel corresponds to blips featuring incorrectly plane-matched clusters.
FIG. 12. Red: efficiency for selecting reconstructed blips produced by true hadronic parents with the PID cut described in the text. Blue: composition of the reconstructed blip sample selected with this PID cut. The hadronic sample groups together contributions from p, 2 H, 3 H, and 4 He, with the latter three comprising roughly 7% of the selected sample. Error bars represent statistical uncertainties in the CORSIKA MC sample.
FIG. 13. Fraction of blips in the short (open markers) and long (solid markers) blip-track proximity categories passing the applied protonlike PID cut. Shaded bands on MC data points represent systematic uncertainties. While the fraction for short proximity blips is roughly 1% by construction, the fraction for the long blip-track proximity sample deviates strongly from this value, indicating the presence of true protons in this sample. The fractions shown for the CORSIKA MC simulations indicate an overprediction of cosmogenically produced protons.
Demonstration of new MeV-scale capabilities in large neutrino LArTPCs using ambient radiogenic and cosmogenic activity in MicroBooNE

February 2025

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4 Reads

Physical Review D

Large neutrino liquid argon time projection chamber (LArTPC) experiments can broaden their physics reach by reconstructing and interpreting MeV-scale energy depositions, or blips, present in their data. We demonstrate new calorimetric and particle discrimination capabilities at the MeV energy scale using reconstructed blips in data from the MicroBooNE LArTPC at Fermilab. We observe a concentration of low-energy ( < 3 MeV ) blips around fiberglass mechanical support struts along the time projection chamber edges with energy spectrum features consistent with the Compton edge of 2.614 MeV Tl 208 decay γ rays. These features are used to verify proper calibration of electron energy scales in MicroBooNE’s data to few percent precision and to measure the specific activity of Tl 208 in the fiberglass composing these struts, ( 11.7 ± 0.2 ( stat ) ± 3.1 ( syst ) ) Bq / kg . Cosmogenically produced blips above 3 MeV in reconstructed energy are used to showcase the ability of large LArTPCs to distinguish between low-energy proton and electron energy depositions. An enriched sample of low-energy protons selected using this new particle discrimination technique is found to be smaller in data than in dedicated cosmic-ray simulations, suggesting either incorrect modeling of incident cosmic fluxes or particle transport modeling issues in eant4. Published by the American Physical Society 2025


Inclusive Search for Anomalous Single-Photon Production in MicroBooNE

February 2025

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1 Read

We present an inclusive search for anomalous production of single-photon events from neutrino interactions in the MicroBooNE experiment. The search and its signal definition are motivated by the previous observation of a low-energy excess of electromagnetic shower events from the MiniBooNE experiment. We use the Wire-Cell reconstruction framework to select a sample of inclusive single-photon final-state interactions with a final efficiency and purity of 7.0% and 40.2%, respectively. We leverage simultaneous measurements of sidebands of charged current νμ\nu_{\mu} interactions and neutral current interactions producing π0\pi^{0} mesons to constrain signal and background predictions and reduce uncertainties. We perform a blind analysis using a dataset collected from February 2016 to July 2018, corresponding to an exposure of 6.34×10206.34\times10^{20} protons on target from the Booster Neutrino Beam (BNB) at Fermilab. In the full signal region, we observe agreement between the data and the prediction, with a goodness-of-fit p-value of 0.11. We then isolate a sub-sample of these events containing no visible protons, and observe 93±22(stat.)±35(syst.)93\pm22\text{(stat.)}\pm35\text{(syst.)} data events above prediction, corresponding to just above 2σ2\sigma local significance, concentrated at shower energies below 600 MeV.


FIG. 1: The area-normalized 2D distribution of the true energy and angle with respect to the beam of outgoing photons in NC coherent 1γ events. This highlights the phase space of the outgoing photon, which populates the forward region and has a peak energy at ∼ 0.3 GeV.
FIG. 2: Predicted background distributions and observed data as a function of (a) the reconstructed shower energy and (b) the reconstructed shower angle with respect to the neutrino beam, at preselection. At this early stage many categories contain too few events to observe, including the coherent signal. As such, the orange histogram overlaid (not stacked) shows the distribution of NC coherent 1γ signal scaled by 2500 in (a) and 1000 in (b) for it to be visible. At this stage, the signal and backgrounds populate different regions of phase space in reconstructed shower energy, with the ∼ 300 MeV peak in signal being dwarfed by low energy shower activity. In the angular phase space one can clearly see the forward nature of the signal compared to the downward nature of cosmic-originating showers.
FIG. 4: Distribution of the maximum SSV BDT score of all clusters formed in events at preselection. Nominal predictions for backgrounds are stacked in the colored histograms, while the signal prediction is scaled by a factor of 1000 and plotted separately in the orange histogram (not stacked). A higher score means a higher probability of a second shower being present in the event. Note that, if no second shower candidate cluster is formed in an event, the maximum SSV BDT score for this event is set to zero.
FIG. 17: The confidence level for the NC coherent 1γ normalization scaling factor x derived from observed data in the coherent-rich selection. The C.L. evaluated with the Feldman-Counsins method is shown in pink with C.L. assuming the validity of Wilks' theorem overlaid in blue. Dotted, dashed and large-dashed horizontal lines correspond to 2σ, 90% and 1σ respectively.
First Search for Neutral Current Coherent Single-Photon Production in MicroBooNE

February 2025

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1 Read

This article presents the first search for neutrino-induced neutral current coherent single-photon production (NC coherent 1γ\gamma). The search makes use of data from the MicroBooNE 85-tonne active volume liquid argon time projection chamber detector, situated in the Fermilab Booster Neutrino Beam (BNB), with an average neutrino energy of Eν0.8\langle E_{\nu}\rangle \sim 0.8 GeV. A targeted selection of candidate neutrino interactions with a single photon-like electromagnetic shower in the final state and no visible vertex activity was developed to search for the NC coherent 1γ\gamma process, along with two auxiliary selections used to constrain the dominant background from NCπ0\pi^0 production. With an integrated exposure of 6.87×10206.87 \times 10^{20} protons on target delivered by the BNB, we set the world's first limit for this rare process, corresponding to an upper limit on the flux-averaged cross section of σ<1.49×1041cm2\sigma<1.49 \times 10^{-41}\text{cm}^2 at 90\% C.L.


FIG. 4. Two-dimensional x∆Np and x∆0p scaling exclusion sensitivity with Asimov data, a fake data set that exactly matches the prediction. The hashed region indicates the side of each curve which is being excluded. The Pandora and Wire-Cell Asimov data samples correspond to 6.80 × 10 20 and 6.37 × 10 20 POT, respectively. FIG. 5. Two-dimensional xNp and x0p scaling data exclusions. The hashed region indicates the side of each curve which is being excluded. The Pandora and Wire-Cell data samples correspond to 6.80 × 10 20 and 6.37 × 10 20 POT, respectively.
Enhanced Search for Neutral Current Δ\Delta Radiative Single-Photon Production in MicroBooNE

February 2025

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1 Read

We report results from an updated search for neutral current (NC) resonant Δ\Delta(1232) baryon production and subsequent Δ\Delta radiative decay (NC ΔNγ\Delta\rightarrow N \gamma). We consider events with and without final state protons; events with a proton can be compared with the kinematics of a Δ(1232)\Delta(1232) baryon decay, while events without a visible proton represent a more generic phase space. In order to maximize sensitivity to each topology, we simultaneously make use of two different reconstruction paradigms, Pandora and Wire-Cell, which have complementary strengths, and select mostly orthogonal sets of events. Considering an overall scaling of the NC ΔNγ\Delta\rightarrow N \gamma rate as an explanation of the MiniBooNE anomaly, our data exclude this hypothesis at 94.4% CL. When we decouple the expected correlations between NC ΔNγ\Delta\rightarrow N \gamma events with and without final state protons, and allow independent scaling of both types of events, our data exclude explanations in which excess events have associated protons, and do not exclude explanations in which excess events have no associated protons.


FIG. 4. The production mechanism of simulated Higgs-portal scalar particles (mS = 150 MeV) for (a) Run 1, in which the NuMI horns are configured to focus positively charged mesons; (b) Run 3, in which the NuMI horns are configured to focus negatively charged mesons.
FIG. 6. The distributions of BDT scores for the four BDTs trained to search for Higgs-portal scalar (HPS) particles with masses of 150 MeV in the Run 3 dataset. The quadrature sum of the uncertainties on the background prediction is shown by the gray band, where red indicates the MC statistical uncertainty, and black indicates systematic uncertainty. The simulated signal is shown at a normalization corresponding to θ = 2.9 × 10 −3 . Overflow events are also included in the right-most bin of each BDT score distribution. (a) The BDT trained to distinguish KDIF topologies in the one-shower sample. (b) The BDT trained to distinguish KDAR topologies in the one-shower sample. (c) The BDT trained to distinguish KDIF topologies in the two-shower sample. (d) The BDT trained to distinguish KDAR topologies in the two-shower sample.
Search for the production of Higgs-portal scalar bosons in the NuMI beam using the MicroBooNE detector

January 2025

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13 Reads

We present the strongest limits to date on the mixing angle, θ\theta, with which a new scalar particle, S, mixes with the Higgs field in the mass range 100 MeV<mS<155MeV<m_S<155 MeV. This result uses the MicroBooNE liquid argon time projection chamber to search for decays of these Higgs-portal scalar particles through the Se+eS\rightarrow e^+e^- channel with the decays of kaons in the NuMI neutrino beam acting as the source of the scalar particles. The analysis uses an exposure of 7.01×10207.01\times 10^{20} protons on target of NuMI beam data including a period when the beam focusing system was configured to focus positively charged hadrons and a separate period when negatively charged hadrons were focused. The analysis searches for scalar particles produced from kaons decaying in flight in the beam's decay volume and at rest in the target and absorber. At mS=125m_S=125 MeV (mS=150m_S=150 MeV) we set a limit of θ<2.65×104\theta<2.65\times 10^{-4} (θ<1.72×104\theta<1.72\times 10^{-4}) at the 95%\% confidence level.


FIG. 1. Distributions of control sample events used in this analysis. The prediction is broken down into CC νe and νµ interactions, NC interactions not producing neutral pions, NC interactions that produce neutral pions, and cosmic rays mistaken for neutrino interactions. Only bins up to 1 GeV from the NC π 0 selection are used in the constraint procedure due to low statistics above this energy.
FIG. 2. Distribution of MC simulation compared with data for reconstructed neutrino energy in the 1eNp0π and 1e0p0π signal channels, along with the LEE Signal Model 1. Statistical tests only take bins between 0.15 GeV and 1.55 GeV into account.
FIG. 4. Distribution of MC simulation compared with data for reconstructed shower cos(θ) in the 1eNp0π and 1e0p0π signal channels, along with the LEE Signal Model 2.
FIG. 5. Confidence intervals obtained from all fits performed in this analysis. Confidence intervals shown are generated with the Feldman-Cousins procedure [36].
Search for an Anomalous Production of Charged-Current νe\nu_e Interactions Without Visible Pions Across Multiple Kinematic Observables

December 2024

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9 Reads

This Letter presents an investigation of low-energy electron-neutrino interactions in the Fermilab Booster Neutrino Beam by the MicroBooNE experiment, motivated by the excess of electron-neutrino-like events observed by the MiniBooNE experiment. This is the first measurement to use data from all five years of operation of the MicroBooNE experiment, corresponding to an exposure of 1.11×10211.11\times 10^{21} protons on target, a 70%70\% increase on past results. Two samples of electron neutrino interactions without visible pions are used, one with visible protons and one without any visible protons. MicroBooNE data is compared to two empirical models that modify the predicted rate of electron-neutrino interactions in different variables in the simulation to match the unfolded MiniBooNE low energy excess. In the first model, this unfolding is performed as a function of electron neutrino energy, while the second model aims to match the observed shower energy and angle distributions of the MiniBooNE excess. This measurement excludes an electron-like interpretation of the MiniBooNE excess based on these models at >99%> 99\% CLs_\mathrm{s} in all kinematic variables.


Measurement of the differential cross section for neutral pion production in charged-current muon neutrino interactions on argon with the MicroBooNE detector

November 2024

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35 Reads

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3 Citations

Physical Review D

We present a measurement of neutral pion production in charged-current interactions using data recorded with the MicroBooNE detector exposed to Fermilab’s booster neutrino beam. The signal comprises one muon, one neutral pion, any number of nucleons, and no charged pions. Studying neutral pion production in the MicroBooNE detector provides an opportunity to better understand neutrino-argon interactions, and is crucial for future accelerator-based neutrino oscillation experiments. Using a dataset corresponding to 6.86 × 10 20 protons on target, we present single-differential cross sections in muon and neutral pion momenta, scattering angles with respect to the beam for the outgoing muon and neutral pion, as well as the opening angle between the muon and neutral pion. Data extracted cross sections are compared to generator predictions. We report good agreement between the data and the models for scattering angles, except for an over-prediction by generators at muon forward angles. Similarly, the agreement between data and the models as a function of momentum is good, except for an underprediction by generators in the medium momentum ranges, 200–400 MeV for muons and 100–200 MeV for pions. Published by the American Physical Society 2024


FIG. 9. Hadronic energy resolution histograms for the traditional MicroBooNE energy estimator (black) and the reweighted training of the RNN energy estimator (red) on the FC CC sample.
Improving neutrino energy estimation of charged-current interaction events with recurrent neural networks in MicroBooNE

November 2024

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26 Reads

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1 Citation

Physical Review D

We present a deep learning-based method for estimating the neutrino energy of charged-current neutrino-argon interactions. We employ a recurrent neural network (RNN) architecture for neutrino energy estimation in the MicroBooNE experiment, utilizing liquid argon time projection chamber (LArTPC) detector technology. Traditional energy estimation approaches in LArTPCs, which largely rely on reconstructing and summing visible energies, often experience sizable biases and resolution smearing because of the complex nature of neutrino interactions and the detector response. The estimation of neutrino energy can be improved after considering the kinematics information of reconstructed final-state particles. Utilizing kinematic information of reconstructed particles, the deep learning-based approach shows improved resolution and reduced bias for the muon neutrino Monte Carlo simulation sample compared to the traditional approach. In order to address the common concern about the effectiveness of this method on experimental data, the RNN-based energy estimator is further examined and validated with dedicated data-simulation consistency tests using MicroBooNE data. We also assess its potential impact on a neutrino oscillation study after accounting for all statistical and systematic uncertainties and show that it enhances physics sensitivity. This method has good potential to improve the performance of other physics analyses. Published by the American Physical Society 2024


Citations (15)


... Over the past two decades, more than twenty measurements have investigated neutrino single π 0 production. Of these, more than ten have studied neutralcurrent (NC) interactions [8][9][10][11][12][13][14][15][16][17][18][19][20], with the remainder studying charged-current (CC) interactions [21][22][23][24][25][26][27][28][29]. Similarly, more than twenty analyses have examined single π ± production, though exclusively through CC interactions [25,[30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49]. ...

Reference:

First differential measurement of the single $\mathbf{\pi}^+$ production cross section in neutrino neutral-current scattering
Measurement of the differential cross section for neutral pion production in charged-current muon neutrino interactions on argon with the MicroBooNE detector

Physical Review D

... Existing neutrino LArTPCs can use these capabilities to identify neutrino-argon (ν-Ar) interactions with important yet understudied attributes. For example, ν-Ar final-state neutrons, visible primarily as proton-or electron-induced low-energy activity [6][7][8], will play an important role in defining energy reconstruction biases for neutrinos and antineutrinos in future leptonic CP-violation measurements [9][10][11]. Low-activity ν-Ar vertices, such as those generated by low-momentum-transfer neutral-current scatters, can be overlooked by standard reconstruction tools despite their potential value in probing the nature of the long-standing MiniBooNE neutrino experiment anomaly [12][13][14][15]. ...

Demonstration of neutron identification in neutrino interactions in the MicroBooNE liquid argon time projection chamber

The European Physical Journal C

... Liquid Argon Time Projection Chamber (LArTPC) experiments play a crucial role in nuclear and high-energy physics, including neutrino detection [1,2] and the search for rare processes such as neutrinoless double beta decay [3]. These detectors provide detailed 2D and 3D reconstructions of particle interactions by capturing the ionization charge produced as particles traverse liquid argon. ...

First application of a liquid argon time projection chamber for the search for intranuclear neutron-antineutron transitions and annihilation in 40 Ar using the MicroBooNE detector

Journal of Instrumentation

... While here we will focus on only quasielastic scattering, the same issues arise in the handling of any process that contains off-shell initial state nucleons. The PWIA framework, widely employed in both theoretical predictions [40,41] and neutrino-nucleus event generators [32,38,[42][43][44][45][46], represents the interaction as occurring with individual nucleons treated as quasi-free particles. This approximation assumes that both initial and final state nucleons can be described using plane-wave wavefunctions, effectively treating them as free particles modified by nuclear effects. ...

First Simultaneous Measurement of Differential Muon-Neutrino Charged-Current Cross Sections on Argon for Final States with and Without Protons Using MicroBooNE Data

Physical Review Letters

... ‡ pmachado@fnal.gov tations in accurately reproducing neutrino-nucleus and electron-nucleus scattering data [31][32][33][34][35][36][37][38][39][40][41][42][43][44]. ...

Inclusive cross section measurements in final states with and without protons for charged-current ν μ -Ar scattering in MicroBooNE

Physical Review D

... For g < 1, the constraints from LSND and MiniBooNE are found to be subleading. This is also expected to hold true for the recent MicroBooNE result [129], which is difficult to reinterpret and hence not included in our analysis. ...

First Search for Dark-Trident Processes Using the MicroBooNE Detector

Physical Review Letters

... A complete four-dimensional analysis of kinematic imbalance, as is used to probe nuclear ground state effects in electron scattering (e.g., [31,32]), is challenging in neutrino experiments due to an unknown incoming neutrino energy. However, the imbalance in the plane transverse to the incoming neutrino still provides a wealth of powerful information and can be quantified by a multitude of variables that have been proposed [13][14][15][16] and, in many cases, measured [15,[17][18][19][33][34][35]. The primary variables considered in this work are schematically represented in Fig. 2. They are defined by ...

Measurement of nuclear effects in neutrino-argon interactions using generalized kinematic imbalance variables with the MicroBooNE detector
  • Citing Article
  • May 2024

Physical Review D

... The 75 keV threshold represents an optimistic detection limit, similarly used in Ref [33]. Micro-BooNE has achieved a 210 keV charge detection threshold, where the reconstruction efficiency for low energy electrons reaches 50% of its maximum achievable value in a "low-threshold" configuration on its charge collection plane [42]. The 500 keV threshold serves as a more conservative benchmark. ...

Measurement of ambient radon progeny decay rates and energy spectra in liquid argon using the MicroBooNE detector

Physical Review D

... • |U eN | 2 : π and K universality tests (Bryman-Shrock) [49], ATLAS (2019) [50], ATLAS (2022) [41], BEBC (Barouki et al.) [51], Belle [52], Borexino [53], CHARM [54], CMS (2018) [55], CMS (2022) [56], CMS (2024-I) [57], CMS (2024-II) [58], DELPHI [59], L3 (2001) [60], LSND (Ema et al.) [61], NA62 [38], PIENU (2017) [36], PMNS Unitarity (Blennow et al.) [62], super-allowed β decays (Bryman-Shrock) [49], T2K [63], TRIUMF [34]. • |U μN | 2 : μBooNE [64], ATLAS (2019) [50], ATLAS (2022) [41], BEBC [39], BNL-E949 [35], CHARM-II [65], CMS (2018) [55], CMS (2018-dilepton) [66], CMS (2022) [56], CMS (2024-I) [57], CMS (2024-II) [58], CMS (8 TeV) [67], DELPHI (short) [59], KEK [49], LSND (Ema et al.) [61], NA3 [68], NA62 [69], NuTeV [40], PIENU [37], PMNS Unitarity (Blennow et al.) [62], PSI [33], T2K [63], T2K (Argüelles et al.) [70]. • |U τ N | 2 : ArgoNeuT [71], Atmospheric ν (Dentler et al.) [72], BEBC (Barouki et al.) [51], BaBar [73], Belle [74], Borexino (Plestid) [75], CHARM (Boiarska et al.) [76], CHARM (Orloff et al.) [77], DELPHI [59] PMNS Unitarity (Blennow et al.) [62] 3 Experimental setup ...

Search for Heavy Neutral Leptons in Electron-Positron and Neutral-Pion Final States with the MicroBooNE Detector

Physical Review Letters

... The strength of this cut depends on the allowed time window width around the neutrino peak, which also establishes the background rejection and neutrino selection efficiency. The second application expands the LArTPC capability to search for long-lived massive particles that have longer time of flight and reach the detector delayed with respect to neutrinos, leveraging events between neutrino bunches [14]. ...

First demonstration of O ( 1 ns ) timing resolution in the MicroBooNE liquid argon time projection chamber

Physical Review D