A5021217208- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Theoretical and Computational Physics
- Nuclear reactor physics and engineering
- Physics of Superconductivity and Magnetism
- Dark Matter and Cosmic Phenomena
- Computational Physics and Python Applications
- Quantum many-body systems
- Superconducting Materials and Applications
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Cosmology and Gravitation Theories
- Generative Adversarial Networks and Image Synthesis
- Pulsars and Gravitational Waves Research
- Advanced Condensed Matter Physics
- Statistical Methods and Bayesian Inference
- Nuclear physics research studies
- Parallel Computing and Optimization Techniques
- Model Reduction and Neural Networks
- Opinion Dynamics and Social Influence
- Radiation Detection and Scintillator Technologies
- Particle Accelerators and Free-Electron Lasers
- Radiation Therapy and Dosimetry
European Organization for Nuclear Research
2016-2025
A. Alikhanyan National Laboratory
2017-2024
National Nuclear Research Center
2023
Financiadora de Estudos e Projetos
2023
National Council for Scientific and Technological Development
2023
Budker Institute of Nuclear Physics
2020
Aligarh Muslim University
2020
Center for Research and Advanced Studies of the National Polytechnic Institute
2020
Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear
2020
California Polytechnic State University
2020
The two-dimensional $J\mathrm{\text{\ensuremath{-}}}{J}^{\ensuremath{'}}$ dimerized quantum Heisenberg model is studied on the square lattice by means of (stochastic series expansion) Monte Carlo simulations as a function coupling ratio $\ensuremath{\alpha}={J}^{\ensuremath{'}}/J$. critical point order-disorder phase transition in determined ${\ensuremath{\alpha}}_{c}=2.5196(2)$ finite-size scaling for up to approximately 10 000 spins. By comparing six models we show, contrary current...
Currently, over 50% of the computing power at CERN's GRID is used to run High Energy Physics simulations. The recent updates Large Hadron Collider (LHC) create need for developing more efficient simulation methods. In particular, there exist a demand fast neutron Zero Degree Calorimeter, where existing Monte Carlo-based methods impose significant computational burden. We propose an alternative approach problem that leverages machine learning. Our solution utilises neural network classifiers...
A comprehensive study of the two-dimensional (2D) compass model on square lattice is performed for classical and quantum spin degrees freedom using Monte Carlo methods. We employ state-of-the-art implementations Metropolis, stochastic series expansion, parallel tempering techniques to obtain critical ordering temperatures exponents. In a preinvestigation we reconsider where contrast finite-size scaling behavior ordinary periodic boundary conditions against annealed conditions. It shown that...
We study two planar square lattice Heisenberg models with explicit dimerization or quadrumerization of the couplings in form ladder and plaquette arrangements. investigate quantum critical points those by means (stochastic series expansion) Monte Carlo simulations as a function coupling ratio $\ensuremath{\alpha}={J}^{\ensuremath{'}}/J$. The point order-disorder phase transition model is determined ${\ensuremath{\alpha}}_{c}=1.9096(2)$ improving on previous studies. For model, we obtain...
In certain Mott-insulating dimerized antiferromagnets, triplet excitations of the paramagnetic phase display both three-particle and four-particle interactions. When such a magnet undergoes quantum transition into magnetically ordered state, interaction becomes part critical theory provided that lattice ordering wave vector is zero. One microscopic example staggered-dimer antiferromagnet on square lattice, for which deviations from O(3) universality have been reported in numerical studies....
We study the directional-ordering transition in two-dimensional classical and quantum compass models on square lattice by means of Monte Carlo simulations. An improved algorithm is presented which builds Wolff cluster one-dimensional subspaces configuration space. This improvement allows us to systems up L=512. Based this algorithm, we give evidence for presence strongly anomalous scaling periodic boundary conditions much worse than anticipated before. propose alternative model do not make...
HEPScore is a new CPU benchmark created to replace the HEPSPEC06 that currently used by WLCG for procurement, computing resource pledges, usage accounting and performance studies. The development of benchmark, based on HEP applications or workloads, has involved many contributions from software developers, data analysts, experts experiments, representatives several centres site managers. In this contribution, we review selection workloads validation benchmark.
The three-dimensional lattice Higgs model with compact U(1) gauge symmetry and unit charge is investigated by means of Monte Carlo simulations. full fluctuating amplitude simulated, both energy as well topological observables are measured. data show a confined phase separated well-defined boundary, which argued to be caused proliferating vortices. For fixed coupling, the boundary consists line first-order transitions at small self-coupling, ending critical point. then continues Kert\'esz...
Using extensive classical and quantum Monte Carlo simulations, we investigate the ground-state phase diagram of fully frustrated transverse field Ising model on square lattice. We show that pure columnar order develops in low-field above a surprisingly large length scale, below which an effective $U(1)$ symmetry is present. The same conclusion applies to dimer with purely kinetic energy, reduces zero-field limit, as well stacked version model. By contrast, 2D shown develop plaquette order....
ALICE is one of the four major LHC experiments at CERN. When accelerator enters Run 3 data-taking period, starting in 2021, expects almost 100 times more Pb-Pb central collisions than now, resulting a large increase data throughput. In order to cope with this new challenge, collaboration had extensively rethink whole processing chain, tighter integration between Online and Offline computing worlds. Such system, code-named O 2 , being developed FAIR GSI. It based on ALFA framework which...
We perform large scale finite-temperature Monte Carlo simulations of the classical $e_g$ and $t_{2g}$ orbital models on simple cubic lattice in three dimensions. The model displays a continuous phase transition to an orbitally ordered phase. While correlation length exponent $\nu\approx0.66(1)$ is close 3D XY value, $\eta \approx 0.15(1)$ differs substantially from O(N) values. At $T_c$ U(1) symmetry emerges, which persists for $T<T_c$ below crossover scaling as $\Lambda \sim \xi^a$, with...
ALICE (A Large Ion Collider Experiment) is a detector dedicated to the studies with heavy ion collisions exploring physics of strongly interacting nuclear matter and quark-gluon plasma at CERN LHC (Large Hadron Collider). After second long shutdown LHC, Experiment will be upgraded make high precision measurements rare probes low pT, which cannot selected trigger, therefore require very large sample events recorded on tape. The online computing system completely redesigned address major...
Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for first two runs of Large Hadron Collider (LHC). In early 2010's, projections were that demands would scale linearly with luminosity increase, compensated only partially by an increase computing resources. The extension fast approaches to more use cases, covering a larger fraction budget, is part solution due intrinsic precision limitations. remainder corresponds speeding-up several factors,...
In this work, we propose a novel end-to-end Sinkhorn Autoencoder with noise generator for efficient data collection simulation. Simulating processes that aim at collecting experimental is crucial multiple real-life applications, including nuclear medicine, astronomy, and high energy physics. Contemporary methods, such as Monte Carlo algorithms, provide high-fidelity results price of computational cost. Multiple attempts are taken to reduce burden, e.g. using generative approaches based on...
We present a pseudospin model which should be experimentally accessible using solid-state devices and, being variation on the compass model, adds to toolbox for protection of qubits in area quantum information. Using Monte Carlo methods, we find both classical and spins two three dimensions Ising-type N\'eel ordering energy fluctuations at finite temperatures without magnetic order. also readdress controversy concerning stability ordered state presence quenched impurities numerical results...
We investigate the ground-state properties of highly degenerate noncoplanar phase classical bilinear-biquadratic Heisenberg model on triangular lattice with Monte Carlo simulations. For that purpose, we introduce an Ising pseudospin representation ground states, and use a simple Metropolis algorithm local updates, as well powerful cluster algorithm. At sizes can be sampled presence long-range order is surprisingly combined algebraic decay correlations complete disordering chirality. It only...
We report on large scale finite-temperature Monte Carlo simulations of the classical $120^\circ$ or $e_g$ orbital-only model simple cubic lattice in three dimensions with a focus towards its critical properties. This displays continuous phase transition to an orbitally ordered phase. While correlation length exponent $\nu\approx0.665$ is close 3D XY value, $\eta \approx 0.15$ differs substantially from O(N) values. also introduce discrete variant model, called $e_g$-clock which found display...
The VecGeom geometry library is a relatively recent effort aiming to provide modern and high performance service for particle detector simulation in hierarchical geometries common HEP experiments. One of its principal targets the efficient use vector SIMD hardware instructions accelerate calculations single track as well multi-track queries.
VecGeom is a geometry modeller library with hit-detection features as needed by particle detector simulation at the LHC and beyond. It was incubated Geant-R&D initiative motivation to combine code of Geant4 ROOT/TGeo into single, better maintainable piece software within EU-AIDA program. So far, mainly used experiments primitive called from Geant4, where it shown provide 7–12% reduction in CPU time due its faster algorithms for complex primitives [1]. In this contribution, we discuss how...
Abstract Full detector simulation was among the largest CPU consumers in all CERN experiment software stacks for first two runs of Large Hadron Collider. In early 2010s, it projected that demands would scale linearly with increasing luminosity, only partial compensation from computing resources. The extension fast approaches to cover more use cases represent a larger fraction budget is part solution, because intrinsic precision limitations. remainder corresponds speeding up by several...
Monte Carlo detector transport codes are one of the backbones in high-energy physics computing. They simulate a large variety different particle types through complex geometries based on models. Those simulations usually configurable set parameters allowing for some tuning client side. Often, accuracy hand and optimising resource needs other competing requirements. In this area, we presenting toolchain to tune which is capable automatically sets user-defined metrics. The consists two central...