A5070404424- 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
- Computational Physics and Python Applications
- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Medical Imaging Techniques and Applications
- Radiation Detection and Scintillator Technologies
- Distributed and Parallel Computing Systems
- Particle Accelerators and Free-Electron Lasers
- Gamma-ray bursts and supernovae
- Nuclear reactor physics and engineering
- Atomic and Subatomic Physics Research
- Radiation Therapy and Dosimetry
- International Science and Diplomacy
- Nuclear Physics and Applications
- Nuclear physics research studies
- Optical properties and cooling technologies in crystalline materials
- Statistical Methods and Bayesian Inference
- Stochastic processes and financial applications
- Noncommutative and Quantum Gravity Theories
University of Alabama
2022-2025
John Brown University
2018-2025
Institute of High Energy Physics
2015-2024
University of Antwerp
2024
Brown University
2018-2024
A. Alikhanyan National Laboratory
2022-2024
Chulalongkorn University
2024
Institute of Electrical and Electronics Engineers
2020-2023
Universität Hamburg
2013-2023
Engineering Systems (United States)
2020-2023
Over the past decade, a large number of jet substructure observables have been proposed in literature, and explored at LHC experiments. Such attempt to utilize internal structure jets order distinguish those initiated by quarks, gluons, or boosted heavy objects, such as top quarks W bosons. This report, originating from motivated BOOST2013 workshop, presents original particle-level studies that aim improve our understanding relationships between observables, their complementarity, dependence...
Strong gravitational lensing is a promising probe of the substructure dark matter halos. Deep learning methods have potential to accurately identify images containing substructure, and differentiate WIMP from other well motivated models, including vortex condensates superfluids. This crucial in future efforts true nature matter. We implement, for first time, classification approach identifying based on simulated strong with different substructure. Utilizing convolutional neural networks...
We describe the construction of end-to-end jet image classifiers based on simulated low-level detector data to discriminate quark- vs. gluon-initiated jets with high-fidelity CMS Open Data. highlight importance precise spatial information and demonstrate competitive performance existing state-of-the-art classifiers. further generalize approach event-level classification quark gluon di-jet QCD events. compare fully using hand-engineered features that algorithm is robust against effects...
The identity of dark matter remains one the most pressing questions in physics today. While many promising candidates have been put forth over last half-century, to date true elusive. it is possible that proposed may turn out be matter, at least equally likely correct physical description has yet proposed. To address this challenge, novel applications machine learning can help physicists gain insight into sector from a theory agnostic perspective. In work we demonstrate use unsupervised...
The production of four top quarks is a rare process in the Standard Model that provides unique opportunities and sensitivity to observables including potential enhancement from many popular new physics extensions. This article summarises latest experimental measurements four-top quark cross section at LHC. An overview interpretations results terms Yukawa coupling limits on beyond also given as well prospects for future offered by this challenging final state.
Over the past decade, a large number of jet substructure observables have been proposed in literature, and explored at LHC experiments. Such attempt to utilize internal structure jets order distinguish those initiated by quarks, gluons, or boosted heavy objects, such as top quarks W bosons. This report, originating from motivated BOOST2013 workshop, presents original particle-level studies that aim improve our understanding relationships between observables, their complementarity, dependence...
We describe a novel application of the end-to-end deep learning technique to task discriminating top quark-initiated jets from those originating hadronization light quark or gluon. The combines algorithms and low-level detector representation high-energy collision event. In this study, we use lowlevel information simulated CMS Open Data samples construct jet classifiers. To optimize classifier performance progressively add tracking detector, including pixel reconstructed hits impact...
The Compact Muon Solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the Large Hadron Collider (LHC) CERN. It employs an online data quality monitoring (DQM) system to promptly spot and diagnose particle acquisition problems avoid loss. In this study, we present semi-supervised spatio-temporal anomaly detection (AD) physics reading channels of Calorimeter (HCAL) CMS using three-dimensional digi-occupancy map DQM. We propose GraphSTAD system, which...
We describe a novel application of the end-to-end deep learning technique to task discriminating top quark-initiated jets from those originating hadronization light quark or gluon. The combines algorithms and low-level detector representation high-energy collision event. In this study, we use information simulated CMS Open Data samples construct jet classifiers. To optimize classifier performance progressively add tracking detector, including pixel reconstructed hits impact parameters,...
For the field of high energy physics to continue have a bright future, priority within must be given investments in development both evolutionary and transformational detector that is coordinated across national laboratories with university community, international partners other disciplines. While fundamental science questions addressed by never been more compelling, there acute awareness challenging budgetary technical constraints when scaling current technologies. Furthermore, many...
Machine learning algorithms are gaining ground in high energy physics for applications particle and event identification, analysis, detector reconstruction, simulation trigger. Currently, most data-analysis tasks at LHC experiments benefit from the use of machine learning. Incorporating these computational tools experimental framework presents new challenges. This paper reports on implementation end-to-end deep with CMS software scaling multiple GPUs. The technique combines low-level...
From particle identification to the discovery of Higgs boson, deep learning algorithms have become an increasingly important tool for data analysis at Large Hadron Collider (LHC). We present innovative end-to-end approach jet Compact Muon Solenoid (CMS) experiment LHC. The method combines neural networks with low-level detector information, such as calorimeter energy deposits and tracking build a discriminator identify different species. Using two physics examples references: electron vs....
This paper describes a novel algorithm for tagging jets originating from the hadronisation of strange quarks (strange-tagging) with future International Large Detector (ILD) at Linear Collider (ILC). It also presents first application such strange-tagger to Higgs ($h \rightarrow s\bar{s}$) analysis $P(e^-,e^+) = (-80\%,+30\%)$ polarisation scenario, corresponding 900 fb$^{-1}$ initial proposed 2000 data which will be collected by ILD during its 10 years taking $\sqrt{s} 250$ GeV. Upper...
An overview of tools and methods for the reconstruction high-boost top quark decays at LHC is given in this report. The focus on hadronic decays, particular an current status taggers physics analyses presented. most widely used jet substructure techniques, normally combination with taggers, are reviewed. Special techniques to treat pileup large cone jets described, along a comparison performance several boosted techniques.
The aim of this study was to investigate the effect a finger millet-based broiler feed on meat quality chicken.Proximate nutrient composition analyzed millet meal and formulated with as main energy source.The percent crude protein (CP) basis using Pearson square method.An experiment designed conducted Ross Hybrid chickens determine lean tissue development.A two-tailed t-test statistical analysis at significance level 5% fat deposition development in muscle.The increased mean mass by...
The production of four top quarks is a rare process in the Standard Model that provides unique opportunities and sensitivity to observables including potential enhancement from many popular new physics extensions. This article summarises latest experimental measurements four-top quark cross section at LHC. An overview interpretations results terms Yukawa coupling limits on beyond also given as well prospects for future offered by this challenging final state.
The compact muon solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the large hadron collider (LHC) CERN. It employs an online data quality monitoring (DQM) system to promptly spot and diagnose particle acquisition problems avoid loss. In this study, we present semi-supervised spatio-temporal anomaly detection (AD) physics reading channels of hadronic calorimeter (HCAL) CMS using three-dimensional digi-occupancy map DQM. We propose GraphSTAD system, which...
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