A5107657894- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Nuclear reactor physics and engineering
- Computational Physics and Python Applications
- Astrophysics and Cosmic Phenomena
- Distributed and Parallel Computing Systems
- Statistical Methods and Bayesian Inference
- Black Holes and Theoretical Physics
- Stochastic processes and statistical mechanics
- Fusion materials and technologies
- Industrial Vision Systems and Defect Detection
- Markov Chains and Monte Carlo Methods
- Advanced Data Storage Technologies
- Theoretical and Computational Physics
- Imbalanced Data Classification Techniques
- Particle Accelerators and Free-Electron Lasers
- Structural Analysis of Composite Materials
- Machine Learning and Algorithms
- X-ray Spectroscopy and Fluorescence Analysis
- Geomagnetism and Paleomagnetism Studies
- Crystallography and Radiation Phenomena
Kent State University
2020-2025
Argonne National Laboratory
2018-2024
Variable Energy Cyclotron Centre
2020-2024
Warsaw University of Technology
2020-2024
Wayne State University
2020-2024
Yale University
2020-2024
AGH University of Krakow
2018-2024
Valparaiso University
2024
Ball State University
2022-2024
Wuhan University of Science and Technology
2024
Electron Ion Collider (EIC) is a particle accelerator facility planned for construction at Brookhaven National Laboratory on Long Island, New York by the United States Department of Energy. EIC will provide capabilities colliding beams polarized electrons with proton and light ions. be one largest most sophisticated new facilities worldwide, only large-scale in next few decades. The versatility, resolving power intensity present many opportunities to address some crucial fundamental open...
This paper presents an AI-powered system designed to automate the identification and cataloging of electric switchgear components, improving inventory management minimizing errors caused by manual classification. Traditional methods rely on human efforts, which are labor-intensive prone misclassification, leading inefficiencies in warehouse operations. To overcome these challenges, we leveraged YOLO-based deep learning models classify components accurately while ensuring seamless integration...
This paper presents an AI-powered system designed to automate the identification and cataloging of electric switchgear components, improving inventory management minimizing errors caused by manual classification. Traditional methods rely on human efforts, which are labor-intensive prone misclassification, leading inefficiencies in warehouse operations. To overcome these challenges, we leveraged YOLO-based deep learning models classify components accurately while ensuring seamless integration...
An analysis method is proposed to study the forward-backward (FB) multiplicity fluctuation in high-energy nuclear collisions, built on earlier work of Bzdak and Teaney. The allows decomposition centrality dependence average from dynamical event-by-event (EbyE) pseudorapidity. Application AMPT HIJING models shows that long-range component FB correlation captured by a few longitudinal harmonics, with first driven asymmetry number participating nucleons two colliding nuclei. higher-order...
The sensitivity of flow harmonics from cumulants on the event-by-event distribution $p(v_n)$ is investigated using a simple central moment expansion approach. For narrow whose width much smaller than mean $σ_n\ll < v_n >$, difference between first three higher-order cumulant estimates $v_n\{4\}$, $v_n\{6\}$ and $v_n\{8\}$ are not very sensitive to shape $p(v_n)$. broad $σ_n\gtrsim differ each other but may change sign become ill-defined. This arises choice $p(v_n)$, without need invoke...
The Electron-Ion Collider (EIC) at Brookhaven National Laboratory will be a precision quantum chromodynamics machine that enable vast physics program with electron+proton/ion collisions across broad center-of-mass range. Measurements of hard probes such as heavy flavor in deep inelastic scatterings an essential component to the EIC and are one detector R driving aspects. In this paper we study projected statistical open charm hadron production through exclusive hadronic channel...
The proposed electron-ion collider has a rich physics program to study the internal structure of protons and heavy nuclei. This will impose strict requirements on detector design. paper explores how these can be satisfied using an all-silicon tracking detector, by consideration three representative probes: flavor hadrons, jets, exclusive vector mesons.
The anisotropy associated with the initial dipole asymmetry in heavy ion collisions is studied via two-particle relative azimuthal angle (∆φ = φ aφ b ) correlations, within a multi-phase transport model.For broad selection of centrality, transverse momenta (p a,b T and pseudorapidity (η ), fitting method used to decompose into rapidity-even component, characterized by Fourier coefficient v 1 , global momentum conservation component.The extracted values are negative for p 0.7 -0.9 GeV, reach...
We report in these proceedings on the measurements of collision centrality and transverse momentum (pT) dependences Λc± production Au+Au collisions at sNN=200GeV, using STAR Heavy Flavor Tracker (HFT). The signal significance is greatly improved with addition high-statistics data set collected 2016 use a supervised machine learning method for topological reconstruction decay vertices. measured Λc±/D0 ratio shows significant enhancement compared to PYTHIA prediction p+p collisions, across pT...
We propose a new measurement of the heavy flavor hadron double spin asymmetry in deep-inelastic scattering at future Electron-Ion Collider (EIC) to constrain polarized gluon distribution function inside proton. Statistical projection on $D^0$ meson is calculated with an EIC central detector using all-silicon tracker and vertexing subsystem. A first impact study was done by interpreting pseudo-data next-to-leading order QCD. The sensitivity experimental observable constraining helicity wide...
Study of the transverse structure proton is one major physics goals upcoming electron ion collider (EIC). The gluon momentum dependent distributions (TMDs) form an essential focus this effort and are important towards understanding angular contribution to spin as well QCD factorization. However, very limited experimental constraints on TMDs exist currently. As heavy quark production in lepton-nucleon DIS gets a dominant from photon-gluon-fusion process, makes attractive tool probe nucleons....
Two-particle pseudorapidity correlations, measured using charged particles with $p_{\mathrm{T}} >$ 0.5 GeV and $|η|
Heavy flavor quarks, owing to their large masses, are predominantly produced through initial hard parton scatterings in heavy-ion collisions, and thus excellent probes study properties of the strongly coupled Quark Gluon Plasma (sQGP) medium these collisions. Measurements anisotropic flow harmonics heavy hadrons can provide information on medium, including transport coefficient. Charm quark hadronization mechanism sQGP be studied measurements yields different charm hadrons. In proceedings we...
Studies of the Quark Gluon Plasma (QGP) with hard and electromagnetic probes are a major focus STAR experiment at Relativistic Heavy Ion Collider. The Flavor Tracker installed for runs in 2014-2016 has significantly enhanced precision open-heavy-flavor hadron measurements STAR, while Muon Telescope Detector greatly improved muon identification quarkonia measurements. Recent from on dependence jet modifications heavy-ion collisions properties medium geometry provide further insights into...
Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Sooraj Radhakrishnan, Jiangyong Jia, Soumya Mohapatra; Studying dipolar flow associated with initial density fluctuations in heavy ion collisions. AIP Conf. Proc. 21 October 2013; 1560 (1): 645–649. https://doi.org/10.1063/1.4826861 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends...
The STAR Heavy Flavor Tracker (HFT) has enabled a rich physics program, providing important insights into heavy quark behavior in ion collisions. Acquiring data during the 2014 through 2016 runs at Relativistic Ion Collider (RHIC), HFT consisted of four layers precision silicon sensors. Used concert with Time Projection Chamber (TPC), enables reconstruction and topological identification tracks arising from charmed hadron decays. ultimate understanding detector efficiency resolution demands...