V. Meddage
A5016024700- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Astrophysics and Cosmic Phenomena
- Atomic and Subatomic Physics Research
- Radiation Detection and Scintillator Technologies
- Muon and positron interactions and applications
- Particle accelerators and beam dynamics
- Nuclear Physics and Applications
- Radio Frequency Integrated Circuit Design
- Quantum, superfluid, helium dynamics
- Advanced NMR Techniques and Applications
- Radiation Therapy and Dosimetry
- Computational Physics and Python Applications
- Quantum Chromodynamics and Particle Interactions
- Superconducting Materials and Applications
- Anomaly Detection Techniques and Applications
- Nuclear reactor physics and engineering
- Adversarial Robustness in Machine Learning
Kansas State University
2017-2024
University of Florida
2020-2024
University of Cincinnati
2023-2024
Florida Department of State
2021-2024
University of California, Santa Barbara
2020-2022
University of Chicago
2020-2022
Florida Museum of Natural History
2022
St. Catherine University
2020
The development and operation of liquid-argon time-projection chambers for neutrino physics has created a need new approaches to pattern recognition in order fully exploit the imaging capabilities offered by this technology. Whereas human brain can excel at identifying features recorded events, it is significant challenge develop an automated, algorithmic solution. Pandora Software Development Kit provides functionality aid design implementation pattern-recognition algorithms. It promotes...
We describe the concept and procedure of drifted-charge extraction developed in MicroBooNE experiment, a single-phase liquid argon time projection chamber (LArTPC). This technique converts raw digitized TPC waveform to number ionization electrons passing through wire plane at given time. A robust recovery from both induction collection anode planes will augment 3D reconstruction, is particularly important for tomographic reconstruction algorithms. building blocks overall are described. The...
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 classification single particle images, localization and neutrino interactions in an image, detection simulated event overlaid with cosmic ray backgrounds taken real detector data. These demonstrate potential for identification or on interactions. also address technical issues that arise when applying...
The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed information in the form fine-grained drifted ionization charge from particle traces. To fully utilize this information, deposited must be accurately extracted raw digitized waveforms via robust signal processing chain. Enabled by ultra-low noise levels associated with cryogenic electronics MicroBooNE detector, precise extraction induction wire planes LArTPC is qualitatively demonstrated on data...
The low-noise operation of readout electronics in a liquid argon time projection chamber (LArTPC) is critical to properly extract the distribution ionization charge deposited on wire planes TPC, especially for induction planes. This paper describes characteristics and mitigation observed noise MicroBooNE detector. MicroBooNE's single-phase LArTPC comprises two one collection sense plane with total 8256 wires. Current induced each TPC amplified shaped by custom low-power, ASICs immersed...
We have developed a convolutional neural network that can make pixel-level prediction of objects in image data recorded by liquid argon time projection chamber (LArTPC) for the first time. describe design, training techniques, and software tools to train this network. The goal work is develop complete deep based reconstruction chain MicroBooNE detector. show demonstration network's validity on real LArTPC using collection plane images. performed stopping muon...
This article presents a measurement of νe interactions without pions in the final state using MicroBooNE experiment and an investigation into excess low-energy electromagnetic events observed by MiniBooNE Collaboration. The is performed exclusive channels with (1eNp0π) (1e0p0π) visible final-state protons 6.86×1020 on target data collected from Booster Neutrino Beam at Fermilab. Events are reconstructed Pandora pattern recognition toolkit selected additional topological information liquid...
We present a measurement of the νe-interaction rate in MicroBooNE detector that addresses observed MiniBooNE anomalous low-energy excess (LEE). The approach taken isolates neutrino interactions consistent with kinematics charged-current quasielastic (CCQE) events. topology such signal events has final state one electron, proton, and zero mesons (1e1p). Multiple novel techniques are employed to identify 1e1p state, including particle identification use two methods Deep-Learning-based image...
We report results from a search for neutrino-induced neutral current (NC) resonant $\Delta$(1232) baryon production followed by $\Delta$ radiative decay, with $\langle0.8\rangle$~GeV neutrino beam. Data corresponding to MicroBooNE's first three years of operations (6.80$\times$10$^{20}$ protons on target) are used select single-photon events one or zero and without charged leptons in the final state ($1\gamma1p$ $1\gamma0p$, respectively). The background is constrained via an in-situ...
We report a measurement of the energy-dependent total charged-current cross section σ(E_{ν}) for inclusive muon neutrinos scattering on argon, as well measurements flux-averaged differential sections function energy and hadronic transfer (ν). Data corresponding to 5.3×10^{19} protons target exposure were collected using MicroBooNE liquid argon time projection chamber located in Fermilab booster neutrino beam with mean approximately 0.8 GeV. The mapping between true E_{ν} reconstructed...
We report a search for an anomalous excess of inclusive charged-current (CC) νe interactions using the Wire-Cell event reconstruction package in MicroBooNE experiment, which is motivated by previous observation low-energy (LEE) electromagnetic events from MiniBooNE experiment. With single liquid argon time projection chamber detector, measurements νμ CC as well π0 are used to constrain signal and background predictions interactions. A data set collected February 2016 July 2018 corresponding...
Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects quantifying the associated systematic uncertainties. This paper presents a novel technique assessing propagating LArTPC detector-related The makes modifications to simulation waveforms based on parameterization of observed differences in ionization signals from TPC between data simulation, while remaining insensitive...
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 decay rest abundantly TPC, and given their well known energy spectrum can be used study MicroBooNE's detector response low-energy (electrons with energies up ~ 50 MeV). We describe fully-automated algorithm developed reconstruct electrons, which a sample...
We present a search for the decays of neutral scalar boson produced by kaons decaying at rest, in context Higgs portal model, using MicroBooNE detector. analyze data triggered time with Fermilab NuMI neutrino beam spill, an exposure 1.93×10^{20} protons on target. look monoenergetic scalars that come from direction hadron absorber, distance 100 m detector, and decay to electron-positron pairs. observe one candidate event, standard model background prediction 1.9±0.8. set upper limit...
We present the performance of a semantic segmentation network, sparsessnet, that provides pixel-level classification MicroBooNE data. The experiment employs liquid argon time projection chamber for study neutrino properties and interactions. sparsessnet is submanifold sparse convolutional neural which initial machine learning based algorithm utilized in one MicroBooNEs ${\ensuremath{\nu}}_{e}$-appearance oscillation analyses. network trained to categorize pixels into five classes, are...
Abstract An accurate and efficient event reconstruction is required to realize the full scientific capability of liquid argon time projection chambers (LArTPCs). The current future neutrino experiments that rely on massive LArTPCs create a need for new ideas approaches. Wire-Cell, proposed in recent years, novel tomographic method LArTPCs. Wire-Cell 3D imaging approach capitalizes charge, sparsity, time, geometry information reconstruct topology-agnostic image ionization electrons prior...
We present the multiple particle identification (MPID) network, a convolutional neural network for object classification, developed by MicroBooNE. MPID provides probabilities that an interaction includes ${e}^{\ensuremath{-}}$, $\ensuremath{\gamma}$, ${\ensuremath{\mu}}^{\ensuremath{-}}$, ${\ensuremath{\pi}}^{\ifmmode\pm\else\textpm\fi{}}$, and protons in liquid argon time projection chamber single readout plane. The extends previously MicroBooNE [Convolutional networks applied to neutrino...
We present the first measurement of single-differential $\nu_e + \bar{\nu}_e$ charged-current inclusive cross sections on argon in electron or positron energy and scattering cosine over full angular range. Data were collected using MicroBooNE liquid time projection chamber located off-axis from Fermilab Neutrinos at Main Injector beam an exposure $2.0\times10^{20}$ protons target. The signal definition includes a 60 MeV threshold $\nu_e$ $\bar{\nu}_e$ 120 energy. measured total differential...
Wire-Cell is a 3D event reconstruction package for liquid argon time projection chambers. Through geometry, time, and drifted charge from multiple readout wire planes, space points with associated are reconstructed prior to the pattern recognition stage. Pattern techniques, including track trajectory $dQ/dx$ (ionization per unit length) fitting, neutrino vertex shower separation, particle-level clustering, particle identification then applied on these as well original 2D measurements. A deep...
We report the first measurement of flux-integrated cross section $\nu_{\mu}$ charged-current single $\pi^{0}$ production on argon. This is performed with MicroBooNE detector, an 85 ton active mass liquid argon time projection chamber exposed to Booster Neutrino Beam at Fermilab. result compared past measurements lighter nuclei investigate scaling assumptions used in models and transport pions neutrino-nucleus scattering. The techniques are important demonstration successful reconstruction...
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 deployment location near ground level, records many cosmic muon tracks in each beam-related trigger that can be misidentified as signals of interest. To reduce these cosmogenic backgrounds, we have designed and constructed TPC-external Cosmic Ray Tagger (CRT). This sub-system was developed by...
We discuss a technique for measuring 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 full particle ionization track to be contained inside detector volume as other reconstruction methods do (range-based and calorimetric reconstruction). motivate use this technique, describe tuning underlying phenomenological formula, quantify its performance on fully beam-neutrino-induced...
The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment dedicated to the study of short-baseline oscillations, measurements cross sections in argon, and research development this novel detector technology. Accurate precise calorimetry are essential event reconstruction achieved by leveraging TPC measure deposited energy per unit length along particle trajectory, with mm resolution. We describe non-uniform calorimetric performance detector, showing...
We report on a flux-integrated multidifferential measurement of charged-current muon neutrino scattering argon with one and proton in the final state using Booster Neutrino Beam MicroBooNE detector at Fermi National Accelerator Laboratory. The data are studied as function various kinematic imbalance variables energy estimator, compared to number event generator predictions. find that measured cross sections different phase-space regions sensitive nuclear effects. Our results provide...
Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid time projection chamber operating at Fermilab. evaluate three interaction models based widely used GENIE event generator using these observables. The measurement uses data consisting interactions final state candidate fully contained within detector. These were collected 2016 Fermilab Booster Neutrino Beam, which has an average energy $$800~\hbox {MeV}$$...