A5032523035- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Medical Imaging Techniques and Applications
- Radiation Detection and Scintillator Technologies
- Astrophysics and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Particle Accelerators and Free-Electron Lasers
- Gamma-ray bursts and supernovae
- Atomic and Subatomic Physics Research
- International Science and Diplomacy
- Distributed and Parallel Computing Systems
- Radioactivity and Radon Measurements
- Nuclear Physics and Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Stochastic processes and financial applications
- Advanced X-ray and CT Imaging
- Nuclear reactor physics and engineering
- Parallel Computing and Optimization Techniques
- Radiation Therapy and Dosimetry
Texas Tech University
2016-2025
A. Alikhanyan National Laboratory
2022-2024
Institute of High Energy Physics
2017-2024
University of Antwerp
2024
European Organization for Nuclear Research
2012
Bulgarian Academy of Sciences
2007-2009
Fermi National Accelerator Laboratory
2006
Institute for Nuclear Research and Nuclear Energy
2003
Sofia University "St. Kliment Ohridski"
2002
We contrasted the performance of deep neural networks - Convolutional Neural Network (CNN) and Graph (GNN) to current state art energy regression methods in a finely 3D-segmented calorimeter simulated by GEANT4. This comparative benchmark gives us some insight assess particular latent signals network exploit achieve superior resolution. A CNN trained solely on pure sample pions achieved substantial improvement resolution for both single jets over conventional approaches. It maintained good...
The fluctuations in energy loss to processes that do not generate measurable signals, such as binding losses, set the limit on achievable hadronic resolution traditional reconstruction techniques. correlation between number of interaction vertices a shower and invisible is found be strong used estimate fraction highly granular calorimeters short time intervals (<10 ns). We simulated images showers using GEANT4 deployed neural network analyze for regression. network-based approach results...
The original dual-readout calorimeter prototype (DREAM), constructed two decades ago, has proven instrumental in advancing our understanding of calorimetry. It facilitated a multitude breakthroughs by leveraging signals from complementary media (Cherenkov and scintillation) to capture fluctuations electro-magnetic energy fraction within hadronic showers. Over the years, extensive studies have shed light on performance characteristics this module, rendering it exceptionally well-understood....
One of the main challenges for detectors at future high-energy collider experiments is high precision measurement hadron and jet energy momentum. possibility to achieve this dual-readout technique, which allows recording simultaneously scintillation Cherenkov light in an active medium order extract electromagnetic fraction total shower on event- by-event basis. Making use approach luminosity LHC, however, puts stringent requirements materials terms radiation hardness. Consequently, R&D...
We report on the signal timing capabilities of thin silicon sensors when traversed by multiple simultaneous minimum ionizing particles (MIP). Three different planar sensors, with depletion thicknesses 133, 211, and 285 µm, have been exposed to high energy muons electrons at CERN. describe shape resolution measurements as well response these devices a function multiplicity MIPs. compare simulations where possible. achieve better than 20 ps for signals larger few tens
We report on a set of measurements made (scintillating) cerium-doped fused-silica fibers using high-energy particle beams. These were uniformly embedded in copper absorber order to utilize electromagnetic showers as source charged particles for generating signals. This new type fiber potentially offers myriad applications calorimeters physics, tracking systems, and beam monitoring detectors future applications. The light yield, pulse shape, attenuation length, propagation speeds are given...
We present a study which shows encouraging stability of the response linearity for simulated high granularity calorimeter module reconstructed by CNN model to miscalibration, bias, and noise effects. Our results also show an intuitive, quantifiable relationship between these factors calibration parameters. trained reconstruct energy in using single-pion events; we then observed under various conditions that affected input. From data, estimated linear models calibrate CNN. quantified...
We report a greater than factor of two improvement in the hadronic energy resolution simulated Cherenkov calorimeter by estimating with machine learning over traditional techniques. The prompt signal formation and threshold properties radiation provide identifiable features that techniques can exploit to produce superior model for reconstruction. quartz-fiber via GEANT4 framework study reconstruction single events. compared learning-based performance simple sum dual-readout use both...
A study of the CMS hadron calorimeter has been performed using pions, protons, electrons, and muons in H2 test beam North Area at CERN 2004. We present some measured properties HCAL barrel calorimeter. These include detector energy resolution, linearity, longitudinal shower profile as a function incident particle momentum. The configuration that was used included mock‐up electromagnetic (a 7×7 array PbWO4 crystals) two hadronic modules . momentum range particles from 5 to 300 GeV/c....
CMS calorimeter energy calibration was done in the full simulated geometry for pseudorapidity region eta = 0. The samples of single pion events were generated with a set incident energies from 10 GeV to 3 TeV. analysis data shows that standard using just sampling coefficients parts different ratio gives nonlinear response. Non-linear technique applied improving resolution and restoring linearity.
CMS calorimeter energy calibration was done in the full simulated geometry for pseudorapidity region eta = 0. The samples of single pion events were generated with a set incident energies from 5 GeV to 3 TeV and electrons 500 GeV. analysis data shows that standard using just sampling coefficients parts different ratio gives nonlinear response. Non-linear technique applied simultaneously electron beams which is preparation jets reconstruction. It improve resolution pions restore linearity.