Search Results - "Chekanov, S."

Refine Results
  1. 1

    Imaging particle collision data for event classification using machine learning by Chekanov, S.V.

    “…We propose a method to organize experimental data from particle collision experiments in a general format which can enable a simple visualization and effective…”
    Get full text
    Journal Article
  2. 2

    HepSim: A Repository with Predictions for High-Energy Physics Experiments by Chekanov, S. V.

    Published in Advances in high energy physics (01-01-2015)
    “…A file repository for calculations of cross sections and kinematic distributionsusing Monte Carlo generators for high-energy collisions is discussed. The…”
    Get full text
    Journal Article
  3. 3

    Congruence-Permutable -Acts by Stepanova, A. A., Chekanov, S. G.

    Published in Siberian mathematical journal (2022)
    “…An algebra is congruence-permutable if its congruences commute under composition. Many familiar varieties of algebras, such as the variety of groups, consist…”
    Get full text
    Journal Article
  4. 4

    A new jet algorithm based on the k-means clustering for the reconstruction of heavy states from jets by Chekanov, S.

    “…A jet algorithm based on the k-means clustering procedure is proposed which can be used for the invariant-mass reconstruction of heavy states decaying to…”
    Get full text
    Journal Article
  5. 5

    ProMC: Input–output data format for HEP applications using varint encoding by Chekanov, S.V., May, E., Strand, K., Van Gemmeren, P.

    Published in Computer physics communications (01-10-2014)
    “…A new data format for Monte Carlo (MC) events, or any structural data, including experimental data, is discussed. The format is designed to store data in a…”
    Get full text
    Journal Article
  6. 6

    RunMC—an object-oriented analysis framework for Monte Carlo simulation of high-energy particle collisions by Chekanov, S.

    Published in Computer physics communications (15-12-2005)
    “…RunMC is an object-oriented framework aimed to generate and to analyse high-energy collisions of elementary particles using Monte Carlo simulations. This…”
    Get full text
    Journal Article
  7. 7

    Estimation of the chances to find new phenomena at the LHC in a model-agnostic combinatorial analysis by Chekanov, S. V

    Published 16-05-2024
    “…Universe 2024, 10(11), 414 In this paper, we estimate the number of event topologies that have the potential to be produced in $pp$ collisions at the Large…”
    Get full text
    Journal Article
  8. 8

    Pentaquarks in high-energy colliding experiments: perspectives from HERA by Chekanov, S.

    “…Several issues related to pentaquark searches relevant for current and future high-energy colliding experiments are discussed. We make an attempt to explain…”
    Get full text
    Journal Article
  9. 9

    A Nonparametric Peak Finder Algorithm and Its Application in Searches for New Physics by Chekanov, S. V., Erickson, M.

    Published in Advances in high energy physics (01-01-2013)
    “…We have developed an algorithm for nonparametric fitting and extraction of statistically significant peaks in the presence of statistical and systematic…”
    Get full text
    Journal Article
  10. 10

    Open charm production in DIS at HERA by Chekanov, S.

    “…AbstractAn overview of recent HERA results on inclusive production of D*± mesons in deep inelastic scattering is given.PACS: 12.38Bx Perturbative calculations…”
    Get full text
    Journal Article
  11. 11

    A note on blind technique for new physics searches in particle physics by Chekanov, S. V

    Published 16-12-2021
    “…Particles 2024, 7(3), 647-652; This paper attempts to classify various blinding strategies used in particle physics. It argues that the blinding technique is…”
    Get full text
    Journal Article
  12. 12

    Machine learning using rapidity-mass matrices for event classification problems in HEP by Chekanov, S. V

    Published 25-01-2021
    “…Universe (2021) 7(1), 19 Supervised artificial neural networks with the rapidity-mass matrix (RMM) inputs were studied using several Monte Carlo event samples…”
    Get full text
    Journal Article
  13. 13

    Event-based anomaly detection for new physics searches at the LHC using machine learning by Chekanov, S. V, Hopkins, W

    Published 16-09-2022
    “…Universe 2022, 8(10), 494 This paper discusses model-agnostic searches for new physics at the Large Hadron Collider (LHC) using anomaly-detection techniques…”
    Get full text
    Journal Article
  14. 14
  15. 15

    Measurement of proton-dissociative diffractive photoproduction of vector mesons at large momentum transfer at HERA by Chekanov et al, S.

    “…Diffractive photoproduction of vector mesons, \(\gamma p \to V Y\), where Y is a proton-dissociative system, has been measured in e+p interactions with the…”
    Get full text
    Journal Article
  16. 16

    Imaging particle collision data for event classification using machine learning by Chekanov, S. V

    Published 15-03-2019
    “…Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 931 (2019) 92-99 We propose a…”
    Get full text
    Journal Article
  17. 17
  18. 18

    Suppression of multi-gluon fluctuations in jets at a linear collider by Chekanov, S.

    Published in Physics letters. B (07-06-2001)
    “…It was shown that at typical energies and luminosities of an e + e − linear collider one can observe a significant suppression of fluctuations of the number of…”
    Get full text
    Journal Article
  19. 19

    Jas4pp -- a Data-Analysis Framework for Physics and Detector Studies by Chekanov, S. V, Gavalian, G, Graf, N. A

    Published 04-01-2021
    “…Computer Physics Communications, 262 (2021) 107857 This paper describes the Jas4pp framework for exploring physics cases and for detector-performance studies…”
    Get full text
    Journal Article
  20. 20

    Endogenous neuroprotection during focal brain ischemia in rats: erythropoietin, ischemic pre- and postconditioning by A. A. Shmonin, I. Y. Panov, A. V. Simanenkova, M. S. Prosvirnina, S. S. Chekanov, E. V. Melnikova, T. D. Vlasov

    “…The aim of the present study was to investigate neuroprotectiveeffects of erythropoietin (EPO), and ischemic pre- and postconditioningin a rat model of focal…”
    Get full text
    Journal Article