Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

Delete all

The development of machine learning methods for big data quality monitoring and its interactive visualisation in the frames of the ALICE experiment at the Large Hadron Collider at CERN

2016/21/D/ST6/01946

Keywords:

machine learning data quality assurance data visualisation virtual reality big data Large Hadron Collider CERN ALICE experiment high-energy physics

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games
  • ST2_2: Particle physics

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Tomasz Trzciński 

Number of co-investigators in the project: 4

Call: SONATA 11 - announced on 2016-03-15

Amount awarded: 280 780 PLN

Project start date (Y-m-d): 2017-01-20

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

Project duration:: 48 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.

Equipment purchased [PL]

  1. Monitor wysokiej rozdzielczości (4 000 PLN)
  2. Serwer obliczeniowy z kartami GPU (16 990 PLN)
  3. Komputer typu PC o wysokiej wydajności do współpracy z Goglami Wirtualnej Rzeczywistości (10 000 PLN)
  4. Gogle wirtualnej rzeczywistości wysokiej rozdzielczości wyświetlające generowany na komputerze obraz HD (4 500 PLN)
  5. Notebook (8 000 PLN)
  6. Notebook.
  7. Serwer obliczeniowy Parser Maior 17.

Information in the final report

  • Publication in academic press/journals (3)
  • Articles in post-conference publications (8)
  1. End-to-End Sinkhorn Autoencoder With Noise Generator
    Authors:
    Kamil Deja; Jan Dubiński; Piotr Nowak; Sandro Wenzel; Przemysław Spurek; Tomasz Trzcinski
    Academic press:
    IEEE Access (rok: 2021, tom: 9, strony: 7211-7219), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/ACCESS.2020.3048622 - link to the publication
  2. Assigning Quality Labels in the High-energy Physics Experiment ALICE Using Machine Learning Algorithms
    Authors:
    Tomasz Trzciński, Kamil Deja
    Academic press:
    Acta Physica Polonica B (rok: 2018, tom: 11, strony: 647-657), Wydawca: Faculty of Physics, Astronomy and Applied Computer Science
    Status:
    Published
    DOI:
    10.5506/APhysPolBSupp.11.647 - link to the publication
  3. Distributed simulation and visualization of the ALICE detector magnetic field
    Authors:
    Piotr Nowakowski, Przemysław Rokita, Łukasz Graczykowski
    Academic press:
    Computer Physics Communications (rok: 2022, tom: 271, strony: 108206), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cpc.2021.108206 - link to the publication
  1. Generative Models for Fast Cluster Simulations in the TPC for the ALICE Experiment
    Authors:
    Kamil Deja, Tomasz Trzcinski, Łukasz Graczykowski for the ALICE Collaboration
    Conference:
    Conference on Information Technology, Systems Research and Computational Physics (rok: 2018, ), Wydawca: Springer, Cham
    Data:
    konferencja 2-5.07.2018
    Status:
    Published
  2. Hypernetwork approach to generating point clouds
    Authors:
    Przemysław Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski
    Conference:
    International Conference on Machine Learning (ICML) (rok: 2020, ), Wydawca: PMLR
    Data:
    konferencja 13-18.07
    Status:
    Published
  3. Using machine learning techniques for Data Quality Monitoring in CMS and ALICE
    Authors:
    K. Deja for the ALICE and CMS Collaboration
    Conference:
    7th Annual Conference on Large Hadron Collider Physics - LHCP2019 (rok: 2019, ), Wydawca: N/A
    Data:
    konferencja 43610
    Status:
    Published
  4. BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
    Authors:
    Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski
    Conference:
    Neural Information Processing Systems (NIPS) (rok: 2018, ), Wydawca: Curran Associates, Inc.
    Data:
    konferencja 2018
    Status:
    Published
  5. Virtual reality visualization algorithms for the ALICE high energy physics experiment on the LHC at CERN
    Authors:
    Julian Myrcha; Tomasz Trzciński; Przemysław Rokita
    Conference:
    Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland (rok: 2017, ), Wydawca: SPIE
    Data:
    konferencja 2017
    Status:
    Published
  6. Anomalies detection with autoencoders
    Authors:
    Piotr Nowak for the ALICE Collaboration
    Conference:
    Neural Information Processing Systems (NeurIPS) Workshop on Machine Learning and the Physical Sciences (rok: 2019, ), Wydawca: N/A
    Data:
    konferencja 14.12.2019
    Status:
    Published
  7. Generative models for fast cluster simulations in the TPC for the ALICE experiment
    Authors:
    Kamil Deja, Tomasz Trzcinski, Łukasz Graczykowski
    Conference:
    23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018) (rok: 2018, ), Wydawca: EPJ
    Data:
    konferencja 9-13.2018
    Status:
    Published
  8. Using Random Forest Classifier for Particle Identification in the ALICE Experiment
    Authors:
    Tomasz Trzcińskil, Łukasz Graczykowski, Michał Glinka for the ALICE Collaboration
    Conference:
    Conference on Information Technology, Systems Research and Computational Physics (rok: 2018, ), Wydawca: Springer, Cham
    Data:
    konferencja 2-5.07.2018
    Status:
    Published

O Narodowym Centrum Nauki

Finansowanie nauki

Współpraca zagraniczna

Centrum prasowe

Deklaracja dostępności
Przetwarzanie danych osobowych
Polityka cookies

Partnerzy