A5088734060- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
- Distributed and Parallel Computing Systems
- Neutrino Physics Research
- Cosmology and Gravitation Theories
- Advanced Data Storage Technologies
- Medical Imaging Techniques and Applications
- Scientific Computing and Data Management
- Astrophysics and Cosmic Phenomena
- Radiation Detection and Scintillator Technologies
- advanced mathematical theories
- Big Data Technologies and Applications
- Particle Accelerators and Free-Electron Lasers
- Parallel Computing and Optimization Techniques
- Superconducting Materials and Applications
- Black Holes and Theoretical Physics
- Air Traffic Management and Optimization
- Atomic and Subatomic Physics Research
- Muon and positron interactions and applications
- Structural Analysis of Composite Materials
- Particle accelerators and beam dynamics
Ludwig-Maximilians-Universität München
2016-2025
University of Geneva
2023-2024
University of California, Santa Cruz
2017-2024
Université Savoie Mont Blanc
2023-2024
Institut National de Physique Nucléaire et de Physique des Particules
2023-2024
Institute for High Energy Physics
2023-2024
Institute of Science and Technology
2023-2024
A. Alikhanyan National Laboratory
2024
LMU Klinikum
2011-2024
Atlas Scientific (United States)
2024
Measurements of charged-particle fragmentation functions jets produced in ultra-relativistic nuclear collisions can provide insight into the modification parton showers hot, dense medium created collisions. ATLAS has measured $\sqrt{s_{NN}} = 2.76$ TeV Pb+Pb at LHC using a data set recorded 2011 with an integrated luminosity 0.14 nb$^{-1}$. Jets were reconstructed anti-$k_{t}$ algorithm distance parameter values $R$ 0.2, 0.3, and 0.4. Distributions transverse momentum longitudinal fraction...
The Production and Distributed Analysis System (PanDA) plays a key role in the ATLAS distributed computing infrastructure. All Monte-Carlo simulation data reprocessing jobs pass through PanDA system. We will describe how manages job execution on grid using dynamic resource estimation replication together with intelligent brokerage order to meet scaling automation requirements of computing. is also primary system for processing user group analysis jobs, bringing further quick, flexible...
Abstract The climate crisis and the degradation of world's ecosystems require humanity to take immediate action. international scientific community has a responsibility limit negative environmental impacts basic research. HECAP+ communities ( High Energy Physics, Cosmology, Astroparticle Hadron Nuclear Physics ) make use common similar experimental infrastructure, such as accelerators observatories, rely similarly on processing big data. Our therefore face challenges improving sustainability...
ULYSSES is a Python package that calculates the baryon asymmetry produced from leptogenesis in context of type-I seesaw mechanism. In this release, new features include code which solves Boltzmann equations for low-scale leptogenesis; complete thermal applying proper quantum statistics without assuming kinetic equilibrium right-handed neutrinos; and, primordial black hole-induced leptogenesis. version 2 has added functionality pre-provided script two-dimensional grid scan parameter space. As...
We present the charged-particle multiplicity distributions for ${e}^{+}{e}^{\ensuremath{-}}$ annihilation at center-of-mass energies from 50 to 61.4 GeV. The results are based on a data sample corresponding total integrated luminosity of 30 ${\mathrm{pb}}^{\ensuremath{-}1}$ obtained with AMY detector KEK storage ring TRISTAN. deviate significantly modified Poisson and pair distributions, but follow Koba-Nielsen-Olesen scaling well reproduced by LUND parton-shower model.
The differential cross section for the reaction H2(γ,p)n has been measured at several center-of-mass angles ranging from 50° to 143° photon energies between 0.8 and 1.8 GeV. experiment was performed SLAC-NPAS facility with use of 1.6 GeV/c spectrometer detect high energy protons produced by a bremsstrahlung beam directed liquid deuterium target. Contributions concurrent disintegration residual electron were determined measuring proton yield without Cu radiator. At not very far 90°,...
The ATLAS Trigger and Data Acquisition (TDAQ) High Level (HLT) computing farm contains 120 000 CPU cores. These resources are critical for the online selection collection of collision data in experiment during LHC operation. Since 2013, a longer period inactivity, these being used offline event simulation via “Simulation at Point One” project (Sim@P1). With recent start Run 3 flat budget expected near future, finding ways to maximize resource utilization efficiency is paramount importance....
Three-jet events produced in ${e}^{+}$${e}^{\mathrm{\ensuremath{-}}}$ annihilations are used to provide comparisons between quark and gluon jets. Differences quark-induced gluon-induced jets observed. Quark tend have a more tightly collimated structure than jets, which is reflected the concentration of larger fraction jet's energy near jet axis.
The ratio $R$ of the total cross section for ${e}^{+}{e}^{\ensuremath{-}}$ annihilation into hadrons to lowest-order QED ${e}^{+}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}{\ensuremath{\mu}}^{+}{\ensuremath{\mu}}^{\ensuremath{-}}$ has been measured center-of-mass energies ranging from 50 61.4 GeV. If we allow an overall shift ---4.9%, about 1.5 times our estimated normalization error, results are consistent with standard-model predictions.
The PanDA (Production and Distributed Analysis) system has been developed to meet ATLAS production analysis requirements for a data-driven workload management capable of operating at LHC data processing scale. performed well with high reliability robustness during the two years data-taking, while being actively evolved rapidly changing use cases. We will present an overview evolution including automatic rebrokerage reattempt jobs, adaptation CernVM File System, support multi-cloud model...
The climate crisis and the degradation of world's ecosystems require humanity to take immediate action. international scientific community has a responsibility limit negative environmental impacts basic research. HECAP+ communities (High Energy Physics, Cosmology, Astroparticle Hadron Nuclear Physics) make use common similar experimental infrastructure, such as accelerators observatories, rely similarly on processing big data. Our therefore face challenges improving sustainability our This...
The ATLAS experiment at CERN’s LHC stores detector and simulation data in raw derived formats across more than 150 Grid sites world-wide, currently total about 200PB on disk 250PB tape. Data have different access characteristics due to various computational workflows, can be accessed from media, such as remote I/O, cache hard drives or SSDs. Also, larger centers provide the majority of offline storage capability via tape systems. For HighLuminosity (HL-LHC), estimated requirements are...
The production system for Grid Data Processing handles petascale ATLAS data reprocessing and Monte Carlo activities. empowered further processing steps on the performed by dozens of physics groups with coordinated access to computing resources worldwide, including additional sponsored regional facilities. provides knowledge management configuration parameters massive tasks, reproducibility results, scalable database access, orchestrated workflow performance monitoring, dynamic workload...
The ATLAS experiment deployed Frontier technology worldwide during the initial year of LHC collision data taking to enable user analysis jobs running on Worldwide Computing Grid access database resident data. Since that time, deployment model has evolved optimize resources, improve performance, and streamline maintenance related infrastructure. In this presentation we focus specific changes in improvements undertaken, such as optimization cache launchpad location, use RPMs for more uniform...
The Production and Distributed Analysis system (PanDA) has been in use the ATLAS Experiment since 2005. It uses a sophisticated pilot to execute submitted jobs on worker nodes. While originally designed for ATLAS, PanDA Pilot recently refactored facilitate outside of ATLAS. Experiments are now handled as plug-ins such that new user only implement set prototyped methods plug-in classes, provide script configures runs experiment-specific payload. We will give an overview Next Generation...
By studying ${e}^{+}$${e}^{\mathrm{\ensuremath{-}}}$ annihilations in the center-of-mass energy range between 50 and 60.8 GeV, we have established a 95%-confidence-level lower limit on mass of fourth-generation charge -(1/3 quark b' 27.2 GeV. In contrast with all previous searches, this has been obtained through consideration decay processes b'\ensuremath{\rightarrow}b\ensuremath{\gamma} b'\ensuremath{\rightarrow}bg aswell as...
The forward-backward asymmetry of quarks produced in ${e}^{+}$${e}^{\mathrm{\ensuremath{-}}}$ annihilations, summed over all flavors, is measured at \ensuremath{\surd}s between 50 and 60.8 GeV. Methods determining the charge direction jet pairs are discussed. found to agree with five-flavor standard model.
The computing model of the ATLAS experiment was designed around concept grid and, since start data taking, this has proven very successful. However, new cloud technologies bring attractive features to improve operations and elasticity scientific distributed computing. sees as complementary that will coexist at different levels resource abstraction, two years ago created an R&D working group investigate integration scenarios. Cloud Computing been able demonstrate feasibility offloading work...