Ágnes Fülöp
A5078992491- Particle physics theoretical and experimental studies
- Quantum chaos and dynamical systems
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Chaos-based Image/Signal Encryption
- Cellular Automata and Applications
- Mathematical Dynamics and Fractals
- Chaos control and synchronization
- Statistical Mechanics and Entropy
- Complex Systems and Time Series Analysis
- Theoretical and Computational Physics
- Particle Detector Development and Performance
- Fractal and DNA sequence analysis
- Big Data Technologies and Applications
- Scientific Research and Discoveries
- Distributed and Parallel Computing Systems
- Algorithms and Data Compression
- Astrophysics and Cosmic Phenomena
- Computational Physics and Python Applications
- Electron and X-Ray Spectroscopy Techniques
- Complex Network Analysis Techniques
- Genomic variations and chromosomal abnormalities
- X-ray Spectroscopy and Fluorescence Analysis
- Advanced Clustering Algorithms Research
- Mathematical functions and polynomials
Eötvös Loránd University
2010-2021
Institute for Particle and Nuclear Physics
2001-2014
Hungarian Academy of Sciences
2014
HUN-REN Wigner Research Centre for Physics
2012-2014
Interaction cross sections and charged pion spectra in p+C interactions at 31 GeV/c were measured with the large acceptance NA61/SHINE spectrometer CERN SPS. These data are required to improve predictions of neutrino flux for T2K long baseline oscillation experiment Japan. A set collected during first run 2007 an isotropic graphite target a thickness 4% nuclear interaction length was used analysis. The inelastic production 257.2 +- 1.9 8.9 mb 229.3 9.0 mb, respectively. Inclusive negatively...
NA61/SHINE (SPS Heavy Ion and Neutrino Experiment) is a multi-purpose experimental facility to study hadron production in hadron-proton, hadron-nucleus nucleus-nucleus collisions at the CERN Super Proton Synchrotron. It recorded first physics data with beams 2009 ion (secondary 7Be beams) 2011. has greatly profited from long development of proton sources accelerator chain as well H2 beamline North Area. The latter recently been modified also serve fragment separator needed produce Be for...
Spectra of positively charged kaons in p+C interactions at 31 GeV/c were measured with the NA61/SHINE spectrometer CERN SPS. The analysis is based on full set data collected 2007 a graphite target thickness 4% nuclear interaction length. Interaction cross sections and pion spectra already using same data. These new measurements combination published ones are required to improve predictions neutrino flux for T2K long baseline oscillation experiment Japan. In particular, knowledge kaon...
We present experimental results on inclusive spectra and mean multiplicities of negatively charged pions produced in inelastic p+p interactions at incident projectile momenta 20, 31, 40, 80 158 GeV/c ( $$\sqrt{s} = $$ 6.3, 7.7, 8.8, 12.3 17.3 GeV, respectively). The measurements were performed using the large acceptance NA61/SHINE hadron spectrometer CERN super proton synchrotron. Two-dimensional are determined terms rapidity transverse momentum. Their properties such as width distributions...
Spectra of K0S mesons and Lambda hyperons were measured in p+C interactions at 31 GeV/c with the large acceptance NA61/SHINE spectrometer CERN SPS. The data collected an isotropic graphite target a thickness 4% nuclear interaction length. Interaction cross sections, charged pion spectra, kaon spectra previously using same set. Results on production serve as reference for understanding enhancement strangeness nucleus-nucleus collisions. Moreover, they provide important input improvement...
It is shown that a dynamical phase transition typically present in chaotic Hamiltonian systems due to the intermittent motion near regular islands. The shows up spectrum of R\'enyi entropies ${K}_{q}$ as jump from finite ${K}_{1}$ zero at q=1+0. Numerical measurements have been carried out for correlation entropy ${K}_{2}$.
Abstract We apply the concept of statistical complexity to understand dynamical behaviour time series by probability distribution. This quantity allows distinguish between random, regular motion and structural in finite systems. determined numerical approximation Lozi attractor generalized number system
We numerically determine the full complex Lyapunov spectrum of SU(2) Yang-Mills fields on a three-dimensional lattice from classical chaotic dynamics using eigenvalues monodromy matrix. The microcanonical equation state is determined as entropy-energy relation utilizing Kolmogorov-Sinai entropy extrapolated to large size limit.
Abstract The Yang-Mills fields have an important role in the non- Abelian gauge field theory which describes properties of quarkgluon plasma. real time evolution classical is given by equations motion are derived from Hamiltonians to contain term SU(2) tensor. dynamics lattice studied on a 3 dimensional regular lattice. During solution this system we keep total energy constant values and it satisfies Gauss law. physical quantities desired be calculated thermodynamic limit. broadly available...
We consider the concept of statistical complexity to writing time-dependent damped systems applying snapshot attractors. This allows us understand behavior these dynamical by probability distribution points on Poincaré section at a given time making difference between regular, random, and structural finite simulation. interpreted attractor determined it in L84 model, especially chaotic system neighbor range standard parameter values considering effect periodic damping.
Abstract In the last centuries experimental particle physics began to develop thank growing capacity of computers among others. It is allowed know structure matter level quark gluon. Plasma in strong interaction. Experimental evidences supported theory measure predicted results. Since its inception researchers are interested track reconstruction. We studied jet browser model, which was developed for 4π calorimeter. This method works on measurement data set, contain components interaction...
Abstract The numerical simulation allows to study the high energy particle physics. It plays important of role in reconstruction and analyze these experimental theoretical researches. This requires a computer background with large capacity. Jet physics is an intensively researched area, where factorization process can be solved by algorithmic solutions. We studied parallelization k t cluster algorithms. method know development particles due collision highenergy nucleus-nucleus. Alice offline...
Abstract The reconstruction and analyze of measured data play important role in the research high energy particle physics. This leads to new results both experimental theoretical requires algorithm improvements computer capacity. Clustering makes it possible get know jet structure more accurately. More granular parallelization kt cluster algorithms was explored by combining with hierarchical clustering methods used network evaluations. method allows development particles due collision...
Abstract The Yang-Mills fields plays important role in the strong interaction, which describes quark gluon plasma. non-Abelian gauge theory provides theoretical background understanding of this topic. real time evolution classical is derived by Hamiltonian for SU(2) field tensor. microcanonical equations motion solved on 3 dimensional lattice and chaotic dynamics was searched monodromy matrix. entropy-energy relation presented Kolmogorov-Sinai entropy. We used block Hessenberg reduction to...
Abstract With the advent of new and continuously improving technologies, in a couple years DNA sequencing can be as commonplace simple blood test. The growth efficiency has larger exponent than Moore’s law standard processors, hence alignment further processing sequenced data is bottleneck. usage FPGA (Field Programmable Gate Arrays) technology may provide an efficient alternative. We propose algorithm for sequence alignment, which realized efficiently by nucleotic principal agents...
The limitations of presently available data on pT range are discussed and planned future upgrades outlined. Special attention is given to the FAIR-CBM experiment as a unique high luminosity facility for continuation measurements at very with emphasis so-called mosaic trigger system use highly parallel online algorithm.
Abstract Following up on our previous study applying hierarchical clustering algorithms to high energy particle physics, this paper explores the possibilities use deep learning generate models capable of processing clusterization themselves. The technique chosen for training is reinforcement learning, that allows system evolve based interactions between model and underlying graph. result a model, by modest dataset 10, 000 nodes during 70 epochs can reach 83, 77% precision 86, 33% jet physics...