Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Automatic procedure to determine the optimal working point of the upgraded LHCb pixel vertex detector and development of a novel technique for reconstructing beauty meson mass spectra.

2020/37/N/ST2/04008

Keywords:

Baryonic decays machine learning pixel detectors optimization pixel tracking systems commissioning computational intelligence

Descriptors:

  • ST2_002:

Panel:

ST2 - Fundamental constituents of matter: particle, nuclear, plasma, atomic, molecular, gas and optical physics

Host institution :

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Fizyki i Informatyki Stosowanej

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Paweł Kopciewicz 

Number of co-investigators in the project: 3

Call: PRELUDIUM 19 - announced on 2020-03-16

Amount awarded: 69 840 PLN

Project start date (Y-m-d): 2021-01-19

Project end date (Y-m-d): 2022-12-18

Project duration:: 23 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (5)
  • Articles in post-conference publications (2)
  1. The LHCb vertex locator upgrade - the detector calibration overview
    Authors:
    P. Kopciewicz, S. Maccolini, T. Szumlak
    Academic press:
    Journal of Instrumentation (rok: 2022, tom: 17, strony: C01046), Wydawca: IOP and SISSA
    Status:
    Published
    DOI:
    10.1088/1748-0221/17/01/C01046 - link to the publication
  2. Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction
    Authors:
    P. Kopciewicz, K. C. Akiba, T. Szumlak, S. Sitko, W. Barter et al.
    Academic press:
    Sensors (rok: 2021, tom: 21, strony: ), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/s21186075 - link to the publication
  3. Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction
    Authors:
    P. Kopciewicz, K. C. Akiba, T. Szumlak, S. Sitko, W. Barter et al.
    Academic press:
    Sensors (rok: 2021, tom: 21, strony: ), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/s21186075 - link to the publication
  4. The LHCb vertex locator upgrade - the detector calibration overview
    Authors:
    P. Kopciewicz, S. Maccolini, T. Szumlak
    Academic press:
    Journal of Instrumentation (rok: 2022, tom: 17, strony: C01046), Wydawca: IOP and SISSA
    Status:
    Published
    DOI:
    10.1088/1748-0221/17/01/C01046 - link to the publication
  5. A Modern Machine Learning Approach for B -meson Decay Generative Modeling
    Authors:
    P. Kopciewicz, M. Kacprzak, T. Szumlak
    Academic press:
    Acta Physica Polonica B (rok: 2023, tom: 16, strony: 45663), Wydawca: Jagiellonian University
    Status:
    Published
    DOI:
    10.5506/APhysPolBSupp.16.3-A5 - link to the publication
  1. Exploration of the evolution-based footprint on the Generative Adversarial Networks
    Authors:
    P. Kopciewicz, V. Morskyi
    Conference:
    2021 IEEE Symposium Series on Computational Intelligence (SSCI) (rok: 2022, tom: IEEE SSCI 2021, strony: 45664), Wydawca: IEEE
    Data:
    konferencja 5-7 Dec 2021
    Status:
    Published
    DOI:
    10.1109/SSCI50451.2021.9659993 - link to the publication
  2. Exploration of the evolution-based footprint on the Generative Adversarial Networks
    Authors:
    P. Kopciewicz, V. Morskyi
    Conference:
    2021 IEEE Symposium Series on Computational Intelligence (SSCI) (rok: 2022, tom: IEEE SSCI 2021, strony: 45664), Wydawca: IEEE
    Data:
    konferencja 5-7 Dec 2021
    Status:
    Published
    DOI:
    10.1109/SSCI50451.2021.9659993 - link to the publication

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