A5059280963- Neutrino Physics Research
- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Astrophysics and Cosmic Phenomena
- Particle Detector Development and Performance
- Radiation Detection and Scintillator Technologies
- Atomic and Subatomic Physics Research
- Muon and positron interactions and applications
- Nuclear Physics and Applications
- Astronomy and Astrophysical Research
- Scientific Research and Discoveries
- Atmospheric Ozone and Climate
- Galaxies: Formation, Evolution, Phenomena
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Anomaly Detection Techniques and Applications
- EFL/ESL Teaching and Learning
- Education and Learning Interventions
- Photonic and Optical Devices
- Adaptive optics and wavefront sensing
- Hand Gesture Recognition Systems
- Career Development and Diversity
- Healthcare Education and Workforce Issues
- Wireless Signal Modulation Classification
- Mobile Crowdsensing and Crowdsourcing
Gachon University
2023-2024
Massachusetts Institute of Technology
2015-2022
University of Chicago
2020-2022
University of California, Santa Barbara
2020-2022
St. Catherine University
2020
University of Cincinnati
2020
Moscow Institute of Thermal Technology
2016
Macmillan Cancer Support
2007
Abstract We present the technical details on how large-scale structure (LSS) catalogs are constructed from redshifts measured spectra observed by Dark Energy Spectroscopic Instrument (DESI). The LSS provide information needed to determine relative number density of DESI tracers as a function redshift and celestial coordinates and, e.g., clustering statistics. produce that weighted subsamples data, each matched `random' catalog forms an unclustered sampling probability could have those data...
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 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...
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...
Federated learning (FL) is a decentralized machine (ML) method that enables model training while preserving privacy. FL gaining attention because it avoids data transfer to the server, facilitating of traditional ML model. Despite its potential, project significantly more challenging develop than centralized methods owing local data. We propose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FedOps</i> , federated operations for constructing...
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...
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 $$800~\hbox {MeV}$$...
Federated learning (FL) that can train using machine methods without moving data have attracted interest owing to the focus on privacy. Several FL platforms and frameworks are being developed with various open datasets. However, has not yet been fully utilized in real-world projects; instead, centralized ML models still used for AI. Since is composed of numerous clients executed, it necessary manage lifecycle such as model deployment status management multiple order operate FL. This study...
Scintillation light produced in liquid argon (LAr) must be shifted from 128 nm to visible wavelengths detection systems used for time-projection chambers (LArTPCs). To date, LArTPC collection have employed tetraphenyl butadiene (TPB) coatings on photomultiplier tubes (PMTs) or plates placed front of the PMTs. Recently, a new approach using TPB-coated guides was proposed. In this paper, we report with improved attenuation lengths above 100 cm when measured air. This is an important step...
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 its location near the surface, good understanding of cosmic muons as source backgrounds fundamental importance for experiment. We present method using an external 0.5 m (L) × (W) muon counter stack, installed above main detector, determine cosmic-ray reconstruction efficiency in MicroBooNE. Data are acquired...
This paper describes new techniques for producing lightguides detection of scintillation light in liquid argon time projection chambers. These can be used future neutrino experiments such as SBND and DUNE. results build on a dipped-coating technique that was previously reported is reviewed here. The improvements to the approach indicate factor four improvement attenuation length compared past studies. measured lengths, which are >2 m, consistent with bulk material. Schematics mechanical...
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...
This is a summary of an online discussion hosted by the IATEFL Young Learners Special Interest Group (SIG) in February 2007. Writing not so much neglected primary classrooms as noticed and adequately prepared for. It tends to take on great deal significance at later stages secondary education when it increasingly used main vehicle for assessment or demonstration learning. The term ‘writing’ was seen ambiguous argued that teachers need define way they use consider whether are concerned with:...
We present a model for the Global Quantum Efficiency (GQE) of MicroBooNE optical units. An unit consists flat, circular acrylic plate, coated with tetraphenyl butadiene (TPB), positioned near photocathode 20.2-cm diameter photomultiplier tube. The plate converts ultra-violet scintillation photons from liquid argon into visible-spectrum to which cryogenic phototubes are sensitive. GQE is convolution efficiency plates that convert 128 nm light visible light, shifted reach photocathode, and...
The MicroBooNE detector uses scintillation light from particle interactions in liquid argon as a data acquisition trigger. This has wavelengths the vacuum ultra violet (VUV) range, and must be converted into visible to detected by photomultiplier tubes (PMTs). To convert light, wavelength shifting plates coated with Tetraphenyl butadiene (TPB) placed front of its PMTs. While basic tuning this plate-PMT system is sufficient for triggering, precise calibration makes additional calorimetry...