Search Results - "Chekanov, V S"

Refine Results
  1. 1

    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
  2. 2

    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
  3. 3

    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
  4. 4

    Mathematical Modeling of Autowave Processes in a Cell with Nanostructured Liquid by Chekanov, V. V., Kandaurova, N. V., Chekanov, V. S., Shevchenko, M. Yu, Mirzahanov, S. R.

    “…In this paper, a solution of the mathematical model of an autowave process in a thin nearelectrode layer of a magnetic fluid is found. A modification of the…”
    Get full text
    Journal Article
  5. 5
  6. 6

    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
  7. 7

    Phase autowaves in the near-electrode layer in the electrochemical cell with a magnetic fluid by Chekanov, V.V., Kandaurova, N.V., Chekanov, V.S.

    “…A change in color of the thin pellicle when light is reflected from the surface of the magnetic fluid at the interface with the transparent electrode in the…”
    Get full text
    Journal Article
  8. 8
  9. 9

    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
  10. 10

    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
  11. 11

    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
  12. 12

    Soft-gluon angular screening in heavy-quark fragmentation by Chekanov, S.V.

    Published in Physics letters. B (29-06-2000)
    “…A method to measure the suppression of soft-gluon radiation by a heavy quark (`dead cone') is discussed. We analyse this QCD phenomenon in the framework of the…”
    Get full text
    Journal Article
  13. 13
  14. 14
  15. 15

    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
  16. 16

    Current-target correlations as a probe of ΔG/ G in polarized deep inelastic scattering by Akushevich, I.V., Chekanov, S.V.

    Published in Physics letters. B (1999)
    “…The measurement of the polarized gluon distribution function ΔG/ G using current-target correlations in the Breit frame of deep inelastic scattering is…”
    Get full text
    Journal Article
  17. 17

    Age Related Skeletal Muscle Response to Electrical Stimulation by Chekanov, Valeri S, Karakozov, Pavel, Rieder, Michelle, Zander, Gary

    Published in ASAIO journal (1992) (01-07-2000)
    “…We hypothesized that the conditioned muscles of elderly and growing organisms have different responses to electrical stimulation from that of young adult…”
    Get full text
    Journal Article
  18. 18

    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
  19. 19

    Model-independent searches for new physics in multi-body invariant masses by Chekanov, S. V, Darmora, S, Islam, W, Wagner, C. E. M, Zhang, J

    Published 08-09-2021
    “…Universe, Volume 7, Issue 9 (2021) Model-independent searches for physics beyond the Standard Model typically focus on invariant masses of two objects (jets,…”
    Get full text
    Journal Article
  20. 20