- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Neural Networks and Applications
- Brain Tumor Detection and Classification
- Particle Accelerators and Free-Electron Lasers
- Advanced NMR Techniques and Applications
- Adversarial Robustness in Machine Learning
- Fault Detection and Control Systems
- Neutrino Physics Research
- Anomaly Detection Techniques and Applications
- Integrated Circuits and Semiconductor Failure Analysis
- Advanced Computational Techniques and Applications
- Nuclear physics research studies
- Advanced Scientific Research Methods
- Atomic and Subatomic Physics Research
Brookhaven National Laboratory
2019-2024
Los Alamos National Laboratory
2019-2024
Seoul National University
2016-2024
Samsung (South Korea)
2023-2024
Lawrence Livermore National Laboratory
2023-2024
Korea Institute for Advanced Study
2019-2022
Columbia University
2022
Thomas Jefferson National Accelerator Facility
2022
Langues, Textes, Traitements Informatiques, Cognition
2019-2020
Campbell Collaboration
2018-2020
We present results for the matrix elements of additional $\Delta S=2$ operators that appear in models physics beyond Standard Model (BSM), expressed terms four BSM $B$-parameters. Combined with experimental M_K$ and $\epsilon_K$, these constrain parameters models. use improved staggered fermions, valence HYP-smeared quarks $N_f=2+1$ flavors "asqtad" sea quarks. The configurations have been generated by MILC collaboration. matching between lattice continuum four-fermion bilinears is done...
Current machine learning (ML)-based algorithms for filtering electroencephalography (EEG) time series data face challenges related to cumbersome training times, regularization, and accurate reconstruction. To address these shortcomings, we present an ML filtration algorithm driven by a logistic covariance-targeted adversarial denoising autoencoder (TADA). We hypothesize that the expressivity of targeted, correlation-driven convolutional will enable effective while minimizing compute...
Brain-computer interfaces (BCIs) offer transformative potential, but decoding neural signals presents significant challenges. The core premise of this paper is built around demonstrating methods to elucidate the underlying low-dimensional geometric structure present in high-dimensional brainwave data order assist downstream BCI-related classification tasks. We demonstrate two pipelines related electroencephalography (EEG) signal processing: (1) a preliminary pipeline removing noise from...
Electromyogenic (EMG) noise is a major contamination source in EEG data that can impede accurate analysis of brain-specific neural activity. Recent literature on EMG artifact removal has moved beyond traditional linear algorithms favor machine learning-based systems. However, existing deep filtration methods often have large compute footprints and prohibitively long training times. In this study, we present new system for filtering interference from using an autoencoder-targeted adversarial...
We present recent progress in calculating the semileptonic form factors $h_{A_1}(w)$ for $\bar{B} \to D^{\ast} \ell \bar{\nu}$ decays. use Oktay-Kronfeld (OK) action charm and bottom valence quarks HISQ light quarks. adopt Newton method combined with scanning to find a good initial guess $\chi^2$ minimizer fitting of 2pt correlation functions. The main advantage is that lets us consume all time slices allowed by physical positivity. report first, reliable, but preliminary results...
We report recent progress in data analysis on the two point correlation functions which will be prerequisite to obtain semileptonic form factors for $B_{(s)} \to D_{(s)}\ell\nu$ decays. use a MILC HISQ ensemble measurement. action light quarks, and Oktay-Kronfeld (OK) heavy quarks ($b$ $c$). used sequential Bayesian method analysis. Here we test new fitting methodology of Benjamin J.~Choi completely independent manner.
We present an update on the calculation of $\bar{B}\to D^\ast \ell \bar{\nu}$ semileptonic form factor at zero recoil using Oktay-Kronfeld bottom and charm quarks $N_f=2+1+1$ flavor HISQ ensembles generated by MILC collaboration. Preliminary results are given for two with $a\approx 0.12$ $0.09$ fm $M_\pi\approx 310$ MeV. Calculations have been done a number valence quark masses, dependence them is investigated ensemble. The excited state controlled multistate fits to three-point correlators...
We report our progress in data analysis on two-point correlation functions of the $B$ meson using sequential Bayesian method. The set measurement is obtained Oktay-Kronfeld (OK) action for bottom quarks (valence quarks) and HISQ light MILC lattices. find that old initial guess $\chi^2$ minimizer fitting code poor enough to slow down somewhat. In order a better guess, we adopt Newton method provides natural test check whether finds local minimum or global minimum, it also reduces number...
We report recent progress in data analysis on the two point correlation functions which will be prerequisite to obtain semileptonic form factors for $B_{(s)} \to D_{(s)}\ell\nu$ decays. use a MILC HISQ ensemble measurement. action light quarks, and Oktay-Kronfeld (OK) heavy quarks ($b$ $c$). used sequential Bayesian method analysis. Here we test new fitting methodology of Benjamin J.~Choi completely independent manner.
We present our preliminary results on the machine learning estimation of $\text{Tr} \, M^{-n}$ from other observables with gradient boosting decision tree regression, where $M$ is Dirac operator. Ordinarily, obtained by linear CG solver for stochastic sources which needs considerable computational cost. Hence, we explore possibility cost reduction trace adoption algorithm. also discuss effects bias and its correction.
We present our preliminary results on the machine learning estimation of $\text{Tr} \, M^{-n}$ from other observables with gradient boosting decision tree regression, where $M$ is Dirac operator. Ordinarily, obtained by linear CG solver for stochastic sources which needs considerable computational cost. Hence, we explore possibility cost reduction trace adoption algorithm. also discuss effects bias and its correction.
We report recent progress in calculating semileptonic form factors for the $\bar{B}\to D^{\ast} \ell \bar{\nu}$ and $\bar{B} \to D decays using Oktay-Kronfeld (OK) action bottom charm quarks. use second order heavy quark effective power counting $\mathcal{O}(\lambda^2)$ improved currents this work. The HISQ is used light spectator analyzed four $2+1+1$-flavor MILC ensembles with $a\approx 0.09\,\mathrm{fm}$, $0.12\,\mathrm{fm}$ $M_\pi \approx 220\,\mathrm{MeV}$, $310\,\mathrm{MeV}$:...
We present recent progress in the lattice calculation ofleptonic decay constants for $B_{(s)}$ and $D_{(s)}$ mesons using Oktay-Kronfeld (OK) action charm bottom valence quarks, whose masses are tuned non-perturbatively. The calculations done on 6 HISQ ensembles generated by MILC collaboration with $N_f=2+1+1$ flavors. also use light spectator quarks. Results presented ratios $f_{B_s}/f_B$ $f_{D_s}/f_D$, which reflect $SU(3)$ flavor symmetry breaking, independent of renormalization axial currents.
We report recent progress in calculating semileptonic form factors for the $\bar{B} \to D^\ast \ell \bar{\nu}$ and D decays using Oktay-Kronfeld (OK) action bottom charm quarks. use second order heavy quark effective power counting $\mathcal{O}(\lambda^2)$ improved currents this work. The HISQ is used light spectator analyzed four $2+1+1$-flavor MILC ensembles with $a\approx 0.09\,\mathrm{fm}$, $0.12\,\mathrm{fm}$ $M_\pi \approx 220\,\mathrm{MeV}$, $310\,\mathrm{MeV}$: $a09m220$, $a09m310$,...
We present recent progress in calculating the semileptonic form factors $h_{A_1}(w)$ for $\bar{B} \to D^\ast \ell \bar{\nu}$ decays. use Oktay-Kronfeld (OK) action charm and bottom valence quarks HISQ light quarks. adopt Newton method combined with scanning to find a good initial guess $\chi^2$ minimizer fitting of 2pt correlation functions. The main advantage is that lets us consume all time slices allowed by physical positivity. report first, reliable, but preliminary results...
We present matching factors for $Z_q$ calculated perturbatively at the one-loop level with improved staggered quarks. calculate HYP-smeared quarks and Symanzik-improved gluons using both RI-MOM RI$'$-MOM schemes. compare results those obtained nonperturbative renormalization (NPR) method.
We present matching factors for $Z_q$ calculated perturbatively at the one-loop level with improved staggered quarks. calculate HYP-smeared quarks and Symanzik-improved gluons using both RI-MOM RI$'$-MOM schemes. compare results those obtained nonperturbative renormalization (NPR) method.
We present recent progress in the lattice calculation of leptonic decay constants for $B_{(s)}$ and $D_{(s)}$ mesons using Oktay-Kronfeld (OK) action charm bottom valence quarks, whose masses are tuned non-perturbatively. The calculations done on 6 HISQ ensembles generated by MILC collaboration with $N_f=2+1+1$ flavors. also use light spectator quarks. Results presented ratios $f_{B_s}/f_B$ $f_{D_s}/f_D$, which reflect $SU(3)$ flavor symmetry breaking, independent renormalization axial currents.
We report our progress in data analysis on two-point correlation functions of the $B$ meson using sequential Bayesian method. The set measurement is obtained Oktay-Kronfeld (OK) action for bottom quarks (valence quarks) and HISQ light MILC lattices. find that old initial guess $\chi^2$ minimizer fitting code poor enough to slow down somewhat. In order a better guess, we adopt Newton method provides natural test check whether finds local minimum or global minimum, it also reduces number...