A5100618585- 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
- Black Holes and Theoretical Physics
- Astrophysics and Cosmic Phenomena
- Particle Accelerators and Free-Electron Lasers
- Medical Imaging Techniques and Applications
- Radiation Detection and Scintillator Technologies
- Nuclear reactor physics and engineering
- Nuclear physics research studies
- Distributed and Parallel Computing Systems
- Gamma-ray bursts and supernovae
- Superconducting Materials and Applications
- Atomic and Subatomic Physics Research
- Noncommutative and Quantum Gravity Theories
- International Science and Diplomacy
- Machine Learning and Data Classification
- Radiation Therapy and Dosimetry
- Radio Wave Propagation Studies
- Reservoir Engineering and Simulation Methods
University at Buffalo, State University of New York
2016-2025
Buffalo State University
2024
Institute of High Energy Physics
2015-2024
A. Alikhanyan National Laboratory
2022-2024
University of Antwerp
2024
Georgian Technical University
2015-2024
Northeastern University
2014-2023
Centro Brasileiro de Pesquisas Físicas
2013-2016
Centre National de la Recherche Scientifique
2005-2016
Universidade Federal do ABC
2010-2016
This work summarizes and puts in an overall perspective studies done within the compact muon solenoid (CMS) concerning discovery potential for squarks gluinos, sleptons, charginos neutralinos, supersymmetric (SUSY) dark matter, lightest Higgs, sparticle mass determination methods detector design optimization view of SUSY searches. It represents status our understanding these subjects as summer 1997. As a benchmark we used minimal supergravity-inspired standard model (mSUGRA) with stable...
This report summarizes the work of Energy Frontier Top Quark working group 2013 Community Summer Study (Snowmass).
We compared two methods for determining the detector performance and cosmic ray small-surface array aperture. The comparison was performed using GELATICA network station at Telavi Iakob Gogebashvili State University (hereafter TEL) as an example. first method is a standard analytical method. It based on mean values of variables averaged distributions. This approach to data analysis focus research carried out within project. project member international CREDO (Cosmic-Ray Extremely Distributed...
The search for Higgs bosons in both the standard model and its extensions is well under way at Tevatron. As integrated luminosity collected increases into multiple inverse femptobarn range, these searches are becoming very interesting indeed. Meanwhile, construction of Large Hadron Collider (LHC) associated experiments CERN nearing completion. In this TeV4LHC workshop, it was realized that any experience Tevatron with respect to backgrounds, experimental techniques theoretical calculations...
A framework is presented to extract and understand decision-making information from a deep neural network (DNN) classifier of jet substructure tagging techniques. The general method studied provide expert variables that augment inputs ("eXpert AUGmented" variables, or XAUG variables), then apply layerwise relevance propagation (LRP) networks both with without variables. are concatenated the intermediate layers after network-specific operations (such as convolution recurrence), used in final...
The distribution of the angle between arrival directions fronts consecutive Extensive Air Showers(EAS) with a wide range total number charged particles is studied using experimental data taken by EAS 4-detector array TEL in Telavi. station part GELATICA net Georgia (GEorgian Large-area Angle and TIme Coincidence Array), which devoted to study possible correlations times separate events over large distances. It shown that aforementioned really are essentially independent can be used for...
Extensive Air Showers (EAS) arrival direction distribution is studied by means of a 4-detector installation in Telavi (TEL array), which node GELATICA net Georgia. The description EAS zenith angle within the spheric layer model atmosphere and exponential absorption showers with air path used. It shown that variation angles upper cutoff boundary allows stable estimation path.
We examine the prospects for probing heavy top quark-antiquark (t-tbar) resonances at upgraded LHC in pp collisions $\root_s = 14 TeV. Heavy t-tbar (Z' bosons) are predicted by several theories that go beyond standard model. consider scenarios which each quark decays leptonically, either to an electron or a muon, and data sets correspond integrated luminosities of \int L dt 300 /fb 3000 /fb. present expected 5-sigma discovery potential Z' resonance as well upper limits 95% C.L. on production...
The distribution of the arrival zenith angle Extensive Air Showers (EAS) with a wide range total number charged particles is studied using experimental data obtained EAS 4-detector array 'TSU' in Tbilisi. station part GELATICA net Georgia (GEorgian Large-area Angle and TIme Coincidence Array), which devoted to study possible correlations times directions separate events over large distances. It shown that function conventional exponential dependence showers' flux on absorbing air thickness...
We present the latest results on production of WW, WZ, Wgamma, Zgamma and ZZ events at Fermilab Tevatron Collider. The are based analyses 0.2 -- 2 /fb data collected in p pbar collisions sqrt(s) = 1.96 TeV by CDF DO experiments during Run II. Analyses diboson processes provide crucial test Standard Model, directly probing its predictions Trilinear Gauge Couplings.
Preliminary results obtained by the CDF and D0 Collaborations on top quark pair production cross-section in p pbar collisions at a center-of-mass energy of 1.96 TeV are presented. The measurements using various final states from decays, based data collected during years 2002-2004 Tevatron Run II.
A framework is presented to extract and understand decision-making information from a deep neural network (DNN) classifier of jet substructure tagging techniques. The general method studied provide expert variables that augment inputs ("eXpert AUGmented" variables, or XAUG variables), then apply layerwise relevance propagation (LRP) networks both with without variables. are concatenated the intermediate layers after network-specific operations (such as convolution recurrence), used in final...