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1.
NA61/SHINE online noise filtering using machine learning methods / Kawęcka, Anna (Warsaw U. of Tech. (main) ; Chalmers U. Tech.) ; Bryliński, Wojciech (Warsaw U. of Tech. (main)) ; Omana Kuttan, Manjunath (Frankfurt U., FIAS ; Frankfurt U.) ; Linnyk, Olena (Frankfurt U., FIAS ; Giessen U.) ; Pawlowski, Janik (Frankfurt U., FIAS ; Philipps U. Marburg) ; Schmidt, Katarzyna (Silesia U.) ; Słodkowski, Marcin (Warsaw U. of Tech. (main)) ; Wyszyński, Oskar (Jan Kochanowski U., Kielce (main)) ; Zieliński, Jakub (Warsaw U. of Tech. (main))
The NA61/SHINE is a high-energy physics experiment operating at the SPS accelerator at CERN. The physics program of the experiment was recently extended, requiring a significant upgrade of the detector setup. [...]
2023 - 5 p. - Published in : J. Phys. : Conf. Ser. 2438 (2023) 012104 Fulltext: PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012104
2.
Reducing Noisy Clusters in the NA61/SHINE Project with Help of Machine Learning / Pawlowski, Janik
We live in an era where huge amounts of data are being generated in all sectors of science and industry [...]
CERN-THESIS-2021-041 - 47 p.

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