Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Contribution to the commissioning and early operation of the upgraded LHCb high level trigger

2018/31/B/ST2/03998

Keywords:

real time computing systems experimental high energy physics machine learning

Descriptors:

  • ST2_2: Particle physics

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):

dr hab. Tomasz Szumlak 

Number of co-investigators in the project: 7

Call: OPUS 16 - announced on 2018-09-14

Amount awarded: 944 120 PLN

Project start date (Y-m-d): 2019-06-21

Project end date (Y-m-d): 2024-06-20

Project duration:: 36 months (the same as in the proposal)

Project status: Project completed

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 (8)
  • Articles in post-conference publications (1)
  • Book publications / chapters in book publications (1)
  1. The upgrade I of LHCb VELO—towards an intelligent monitoring platform
    Authors:
    LHCb VELO Group
    Academic press:
    Journal of Instrumentation (rok: 2020, tom: 15, strony: 8), Wydawca: IOP Science
    Status:
    Published
    DOI:
    10.1088/1748-0221/15/06/C06009 - link to the publication
  2. A Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Trigger
    Authors:
    LHCb RTA group
    Academic press:
    Comput.Softw.Big Sci (rok: 2022, tom: 6, strony: 30), Wydawca: Springer Nature Switzerland AG
    Status:
    Published
    DOI:
    10.1007/s41781-021-00070-2 - link to the publication
  3. Charge collection properties of prototype sensors for the LHCb VELO upgrade
    Authors:
    LHCb VELO group
    Academic press:
    Journal of Instrumentation (rok: 2021, tom: 16, strony: 18), Wydawca: IOP Publishing
    Status:
    Published
    DOI:
    10.1088/1748-0221/16/02/P02029 - link to the publication
  4. Phase I Upgrade of the Readout System of the Vertex Detector at the LHCb Experiment
    Authors:
    LHCb VELO Group
    Academic press:
    IEEE Trans.Nucl.Sci. (rok: 2020, tom: 67, strony: 8), Wydawca: IEEE Xplore
    Status:
    Published
    DOI:
    10.1109/TNS.2020.2970534 - link to the publication
  5. Silicon detectors beyond LHC - RD50 status report
    Authors:
    F. Zareef, A. Obłąkowska-Mucha, T. Szumlak
    Academic press:
    Journal of Instrumentation (rok: 2022, tom: 17, strony: 8), Wydawca: IOP Science
    Status:
    Published
    DOI:
    10.1088/1748-0221/17/11/C11004 - link to the publication
  6. Gain layer degradation study after neutron and proton irradiations in Low Gain Avalanche Diodes
    Authors:
    E. C. Rivera, A. La Rosa, M. Moll, Fasih Zareef
    Academic press:
    JINST (rok: 2023, tom: 18, strony: 10), Wydawca: IOP Publishing for Sissa Medialab
    Status:
    Published
    DOI:
    10.1088/1748-0221/18/10/P10020 - link to the publication
  7. Spatial resolution and efficiency of prototype sensors for the LHCb VELO Upgrade
    Authors:
    LHCb VELO group
    Academic press:
    Journal of Instrumentation (rok: 2022, tom: 17, strony: 18), Wydawca: IOP Science
    Status:
    Published
    DOI:
    10.1088/1748-0221/17/06/P06038 - link to the publication
  8. Characterization of Ultra-Fast Silicon Detectors (UFSD) for high energy physics applications
    Authors:
    F. Zareef, A. Obłąkowska-Mucha, T. Szumlak, et al.
    Academic press:
    Nucl.Instrum.Meth.A (rok: 2024, tom: 1061, strony: 2), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.nima.2024.169085 - link to the publication
  1. Second Generation Machine Learning Based Algorithm for Long-lived Particles Reconstruction in Upgraded LHCb Experiment
    Authors:
    Sabin Hashmi
    Conference:
    Epiphany 2022 (rok: 2022, ), Wydawca: Jagellonian University
    Data:
    konferencja 10-14 January 2022
    Status:
    Published
  1. Reconstruction of long-lived particles in LHCb CERN project by data analysis and computational intelligence methods
    Authors:
    Grzegorz GOŁASZEWSKI, Piotr KULCZYCKI, Tomasz SZUMLAK, Szymon ŁUKASIK
    Book:
    Computational Science – ICCS 2021 (rok: 2021, tom: 1, strony: 793), Wydawca: Springer Nature Switzerland
    Status:
    Published

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