A5045990378- Neutrino Physics Research
- Nuclear physics research studies
- Dark Matter and Cosmic Phenomena
- Astronomical and nuclear sciences
- Particle physics theoretical and experimental studies
- Atomic and Subatomic Physics Research
- Nuclear Physics and Applications
- Radiation Detection and Scintillator Technologies
- Astrophysics and Cosmic Phenomena
- Atomic and Molecular Physics
- Particle Detector Development and Performance
- Mass Spectrometry Techniques and Applications
- Music Technology and Sound Studies
- Neural Networks and Applications
- Nuclear reactor physics and engineering
- Time Series Analysis and Forecasting
- Isotope Analysis in Ecology
- Water Quality Monitoring and Analysis
- Privacy-Preserving Technologies in Data
- High-pressure geophysics and materials
- Quantum, superfluid, helium dynamics
- Spectroscopy and Laser Applications
- Particle accelerators and beam dynamics
- Advanced Algorithms and Applications
- Atmospheric Ozone and Climate
TRIUMF
2017-2025
University of British Columbia
2015-2025
Chinese Academy of Sciences
2023
Taiyuan University of Science and Technology
2021-2022
Huazhong University of Science and Technology
2015-2022
Union Hospital
2022
University of Bradford
2007-2021
McGill University
2021
Lawrence Livermore National Laboratory
2021
University of South Dakota
2017
A search for neutrinoless double-beta decay ($0\nu\beta\beta$) in $^{136}$Xe is performed with the full EXO-200 dataset using a deep neural network to discriminate between $0\nu\beta\beta$ and background events. Relative previous analyses, signal detection efficiency has been raised from 80.8% 96.4$\pm$3.0% energy resolution of detector at Q-value improved $\sigma/E=1.23\%$ $1.15\pm0.02\%$ upgraded detector. Accounting new data, median 90% confidence level half-life sensitivity this analysis...
Results from a search for neutrinoless double-beta decay (0νββ) of ^{136}Xe are presented using the first year data taken with upgraded EXO-200 detector. Relative to previous searches by EXO-200, energy resolution detector has been improved σ/E=1.23%, electric field in drift region raised 50%, and system suppress radon volume between cryostat lead shielding implemented. In addition, analysis techniques that improve topological discrimination 0νββ background events have developed....
The next-generation Enriched Xenon Observatory (nEXO) is a proposed experiment to search for neutrinoless double beta ($0\nu\beta\beta$) decay in $^{136}$Xe with target half-life sensitivity of approximately $10^{28}$ years using $5\times10^3$ kg isotopically enriched liquid-xenon time projection chamber. This improvement two orders magnitude over current limits obtained by significant increase the mass, monolithic and homogeneous configuration active medium, multi-parameter measurements...
A precision mass investigation of the neutron-rich titanium isotopes $^{51\ensuremath{-}55}\mathrm{Ti}$ was performed at TRIUMF's Ion Trap for Atomic and Nuclear science (TITAN). The range measurements covers $N=32$ shell closure, overall uncertainties $^{52\ensuremath{-}55}\mathrm{Ti}$ values were significantly reduced. Our results conclusively establish existence weak effect $N=32$, narrowing down abrupt onset this closure. data compared with state-of-the-art ab initio model calculations...
Abstract The nEXO neutrinoless double beta (0 νββ ) decay experiment is designed to use a time projection chamber and 5000 kg of isotopically enriched liquid xenon search for the in 136 Xe. Progress detector design, paired with higher fidelity its simulation an advanced data analysis, based on one used final results EXO-200, produce sensitivity prediction that exceeds half-life 10 28 years. Specifically, improvements have been made understanding production scintillation photons charge as...
Abstract Today’s factories are considered as smart ecosystems with humans, machines and devices interacting each other for efficient manufacturing of products. Industry 4.0 is a suite enabler technologies such that allow transformation industrial processes. When implemented, have huge impact on efficiency, productivity profitability businesses. The adoption implementation 4.0, however, require to overcome number practical challenges, in most cases, due the lack modernisation automation place...
We apply deep neural networks (DNN) to data from the EXO-200 experiment. In studied cases, DNN is able reconstruct relevant parameters—total energy and position—directly raw digitized waveforms, with minimal exceptions. For first time, developed algorithms are evaluated on real detector calibration data. The accuracy of reconstruction either reaches or exceeds what was achieved by conventional approaches over course Most existing event classification in particle physics trained Monte Carlo...
The rapid progress of artificial intelligence expands its wide applicability in Internet Things (IoT). Meanwhile, data insufficient and source privacy are key supply chain challenges facing IoT especially the healthcare industry. To address this problem IoT, article, we propose a skin cancer detection model based on federated learning integrated with deep generation model. First, employ dual generative adversarial networks to data. In addition, improve quality generated images, synchronously...
Isotopes at the limits of nuclear existence are great interest for their critical role in astrophysical reactions and exotic structure. Experimentally, nuclides challenging to address due low production cross-sections, overwhelming amounts contamination, lifetimes typically less than a second. To this end, Multiple-Reflection Time-of-Flight mass spectrometer TITAN-TRIUMF facility was built determine atomic masses. This device is preferred tool work with its ability resolve species from...
Matrix operations are of great significance in quantum computing, which manipulate states information processing. This paper presents algorithms for several important matrix operations. By leveraging multi-qubit Toffoli gates and basic single-qubit operations, these efficiently carry out row addition, swapping, trace calculation transpose. using the ancillary measurement techniques to eliminate redundant information, achieve streamlined efficient computations, demonstrate excellent...
The EXO-200 Collaboration is searching for neutrinoless double $\ensuremath{\beta}$ decay using a liquid xenon (LXe) time projection chamber. This measurement relies on modeling the transport of charge deposits produced by interactions in LXe to allow discrimination between signal and background events. Here we present measurements transverse diffusion constant drift velocity electrons at fields 20 V/cm 615 data. At operating field 380 measures...
Malaria, as one of the most serious infectious diseases causing public health problems in world, affects about two-thirds world population, with estimated resultant deaths close to a million annually. The effects this disease are much more profound third countries, which have very limited medical resources. When an intense outbreak occurs, these countries cannot cope high number patients due lack medicine, equipment and hospital facilities. prevention or reduction risk factor is challenging,...
Future tonne-scale liquefied noble gas detectors depend on efficient light detection in the VUV range. In past years Silicon Photomultipliers (SiPMs) have emerged as a valid alternative to standard photomultiplier tubes or large area avalanche photodiodes. The next generation double beta decay experiment, nEXO, with 5 tonne liquid xenon time projection chamber, will use SiPMs for detecting $178\,\text{nm}$ scintillation light, order achieve an energy resolution of $\sigma / Q_{\beta\beta} =...
Liquid xenon (LXe) is employed in a number of current and future detectors for rare event searches. We use the EXO-200 experimental data to measure absolute scintillation ionization yields generated by $\ensuremath{\gamma}$ interactions from $^{228}\mathrm{Th}$ (2615 keV), $^{226}\mathrm{Ra}$ (1764 $^{60}\mathrm{Co}$ (1332 keV 1173 keV) calibration sources, over range electric fields. The $W$ value that defines recombination-independent energy scale measured be...
High-accuracy mass measurements of neutron-deficient Yb isotopes have been performed at TRIUMF using TITAN's multiple-reflection time-of-flight spectrometer (MR-TOF-MS). For the first time, an MR-TOF-MS was used on line simultaneously as isobar separator and a spectrometer, extending to two further away from stability than otherwise possible. The ground state masses $^{150,153}\mathrm{Yb}$ excitation energy $^{151}{\mathrm{Yb}}^{m}$ were measured for time. As result, persistence $N=82$ shell...
We performed the first direct mass measurements of neutron-rich vanadium V52–55 isotopes passing N=32 neutron shell closure with TRIUMF's Ion Trap for Atomic and Nuclear science. The new confirm all previous indirect results. Through a reduced uncertainty V55 we quenching in vanadium. discuss evolution between K Cr show similar signatures half-life surface when studied along isotopic chains.Received 2 June 2018DOI:https://doi.org/10.1103/PhysRevC.98.024310©2018 American Physical...
A new series of neutron-rich indium mass measurements is reported from the TITAN multiple-reflection time-of-flight spectrometer (MR-TOF-MS). These cover $^{125\ensuremath{-}134}\mathrm{In}$ ($N=76--85$) and include ground states as well isomeric states. The masses nuclei in this region are known to be great importance for accurately modeling $r$-process nucleosynthesis, significance discussed context. Results compared with earlier experimental data where available theoretical models. here...
We present the results of precision mass measurements neutron-rich cadmium isotopes. These nuclei approach $N=82$ closed neutron shell and are important to nuclear structure as they lie near doubly magic $^{132}\mathrm{Sn}$ on chart nuclides. Of particular note is clear identification ground-state in $^{127}\mathrm{Cd}$ along with isomeric state. show that ground state identified a previous measurement which dominates value Atomic Mass Evaluation an In addition $^{127/m}\mathrm{Cd}$, we...
We present a search for electron-recoil signatures from the charged-current absorption of fermionic dark matter using EXO-200 detector. report an average background rate $6.8\ifmmode\times\else\texttimes\fi{}{10}^{4}\text{ }\text{ }\mathrm{cts}\text{ }{\mathrm{kg}}^{\ensuremath{-}1}\text{ }{\mathrm{yr}}^{\ensuremath{-}1}\text{ }{\mathrm{keV}}^{\ensuremath{-}1}$ above 4 MeV and find no statistically significant excess over our projection. Using total $^{136}\mathrm{Xe}$ exposure 234.1 kg yr,...
As a typical research topic, time series analysis and prediction face continuously rising interest have been widely applied in various domains. Current approaches focus on large number of data collections, using mathematics, statistics artificial intelligence methods, to process make the next most probable value. This paper proposes new algorithm moving average nth-order difference predict term for pseudo- periodical series. We use neural networks (ANNs) range evaluation error hybrid model...