R. Žlebčík

ORCID: 0000-0003-1644-8523
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • High-Energy Particle Collisions Research
  • Particle Detector Development and Performance
  • Neutrino Physics Research
  • Dark Matter and Cosmic Phenomena
  • Black Holes and Theoretical Physics
  • Computational Physics and Python Applications
  • Radiation Detection and Scintillator Technologies
  • Cosmology and Gravitation Theories
  • Nuclear physics research studies
  • International Science and Diplomacy
  • Particle Accelerators and Free-Electron Lasers
  • Radiation Effects in Electronics
  • Medical Imaging Techniques and Applications
  • Superconducting Materials and Applications
  • Atomic and Subatomic Physics Research
  • advanced mathematical theories
  • Education, Psychology, and Social Research

Institute of High Energy Physics
2021-2023

Deutsches Elektronen-Synchrotron DESY
2020-2023

Charles University
2021-2023

Universitat de Barcelona
2023

Johannes Gutenberg University Mainz
2023

Ludwig-Maximilians-Universität München
2023

Technical University of Munich
2023

Max Planck Institute for Physics
2023

Halbleiterlabor of the Max-Planck-Society
2023

Instituto de Física de Cantabria
2023

Abstract We present the novel implementation of a non-differentiable metric approximation and corresponding loss-scheduling aimed at search for new particles unknown mass in high energy physics experiments. call loss-scheduling, based on minimisation figure-of-merit related function typical particle physics, Punzi-loss function, neural network that utilises this loss Punzi-net. show Punzi-net outperforms standard multivariate analysis techniques generalises well to hypotheses which it was...

10.1140/epjc/s10052-022-10070-0 article EN cc-by The European Physical Journal C 2022-02-01

We present a scheme for the generation of central exclusive final states in program. The implementation allows investigation higher-order corrections to such processes as approximated by initial-state parton shower . To achieve this, spin and colour decomposition has been worked out, order determine probability that partonic state generated from an inclusive sub-process followed series splittings can be considered approximation colour- spin-singlet process. use our investigate effects...

10.1140/epjc/s10052-016-4513-y article EN cc-by The European Physical Journal C 2016-12-01

The first measurement of groomed event shape observables in deep-inelastic electron-proton scattering (DIS) is presented. study based on data collected with the H1 detector at HERA years 2003-2007 centre-of-mass energy $\sqrt{s} = 319\,\text{GeV}$. grooming techniques have been popular for jet substructure studies hadron-hadron collisions, but not used DIS before. In this measurement, performed Breit frame utilizing Centauro clustering algorithm which designed topologies. For events selected...

10.22323/1.476.0487 article EN cc-by-nc-nd 2024-12-17

A new fit of diffractive parton distribution functions (DPDFs) to the HERA inclusive and di-jet data in deep-inelastic scattering (DDIS) at next-to-next-to-leading order accuracy (NNLO) is presented. The inclusion most comprehensive dijet cross section data, together with their NNLO predictions, provides enhanced constraints gluon component DPDF, which particular importance for PDFs. Compared previous fits, presented includes high-precision II H1 collaboration, corresponds a 40-fold increase...

10.22323/1.352.0059 article EN cc-by-nc-nd Proceedings of XXVII International Workshop on Deep-Inelastic Scattering and Related Subjects — PoS(DIS2019) 2019-08-06

Cross sections for inclusive dijet production in diffractive deep-inelastic scattering are calculated the first time next-to-next-to-leading order (NNLO) accuracy. These cross compared to several HERA measurements published by H1 and ZEUS collaborations. We computed total sections, 49 single-differential five double-differential distributions six measurements. The NNLO corrections found be large positive. normalization of resulting predictions typically exceeds data, while kinematical shape...

10.22323/1.297.0073 article EN cc-by-nc-nd 2017-11-21

Cross sections for inclusive dijet production in diffractive deep-inelastic scattering are calculated the first time next-to-next-to-leading order (NNLO) accuracy. These cross compared to several HERA measurements published by H1 and ZEUS collaborations. We computed total sections, 49 single-differential five double-differential distributions six measurements. The NNLO corrections found be large positive. normalization of resulting predictions typically exceeds data, while kinematical shape...

10.48550/arxiv.1710.03521 preprint EN other-oa arXiv (Cornell University) 2017-01-01

We present measurements of differential jet cross sections over a wide range in transverse momenta from inclusive jets to multi-jet final states. Studies on the impact that these have determination strong coupling $\alpha_S$ as well parton density functions are reported. Several LO and NLO MC generator matched with shower were tested against CMS data.

10.22323/1.352.0143 article EN cc-by-nc-nd Proceedings of XXVII International Workshop on Deep-Inelastic Scattering and Related Subjects — PoS(DIS2019) 2019-08-25
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