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New insights from old cosmic rays: A novel analysis of archival KASCADE data. / Kostunin, D.; Plokhikh, I.; Ahlers, M. и др.

в: Proceedings of Science, Том 395, 319, 18.03.2022.

Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование

Harvard

Kostunin, D, Plokhikh, I, Ahlers, M, Tokareva, V, Lenok, V, Bezyazeekov, P, Golovachev, S, Sotnikov, V, Mullyadzhanov, R & Sotnikova, E 2022, 'New insights from old cosmic rays: A novel analysis of archival KASCADE data', Proceedings of Science, Том. 395, 319.

APA

Kostunin, D., Plokhikh, I., Ahlers, M., Tokareva, V., Lenok, V., Bezyazeekov, P., Golovachev, S., Sotnikov, V., Mullyadzhanov, R., & Sotnikova, E. (2022). New insights from old cosmic rays: A novel analysis of archival KASCADE data. Proceedings of Science, 395, [319].

Vancouver

Kostunin D, Plokhikh I, Ahlers M, Tokareva V, Lenok V, Bezyazeekov P и др. New insights from old cosmic rays: A novel analysis of archival KASCADE data. Proceedings of Science. 2022 март 18;395:319.

Author

Kostunin, D. ; Plokhikh, I. ; Ahlers, M. и др. / New insights from old cosmic rays: A novel analysis of archival KASCADE data. в: Proceedings of Science. 2022 ; Том 395.

BibTeX

@article{b01cd5c1aed446cf94567af8b5577a67,
title = "New insights from old cosmic rays: A novel analysis of archival KASCADE data",
abstract = "Cosmic ray data collected by the KASCADE air shower experiment are competitive in terms of quality and statistics with those of modern observatories. We present a novel mass composition analysis based on archival data acquired from 1998 to 2013 provided by the KASCADE Cosmic ray Data Center (KCDC). The analysis is based on modern machine learning techniques trained on simulation data provided by KCDC. We present spectra for individual groups of primary nuclei, the results of a search for anisotropies in the event arrival directions taking mass composition into account, and search for gamma-ray candidates in the PeV energy domain.",
author = "D. Kostunin and I. Plokhikh and M. Ahlers and V. Tokareva and V. Lenok and P. Bezyazeekov and S. Golovachev and V. Sotnikov and R. Mullyadzhanov and E. Sotnikova",
note = "Funding Information: The authors would like to express gratitude to the colleagues from KCDC team. M.A. acknowledges support from Villum Fonden under project no. 18994. The development and testing of the classifier was supported by the state contract with Institute of Thermophysics SB RAS. Publisher Copyright: {\textcopyright} Copyright owned by the author(s).; 37th International Cosmic Ray Conference, ICRC 2021 ; Conference date: 12-07-2021 Through 23-07-2021",
year = "2022",
month = mar,
day = "18",
language = "English",
volume = "395",
journal = "Proceedings of Science",
issn = "1824-8039",
publisher = "Sissa Medialab Srl",

}

RIS

TY - JOUR

T1 - New insights from old cosmic rays: A novel analysis of archival KASCADE data

AU - Kostunin, D.

AU - Plokhikh, I.

AU - Ahlers, M.

AU - Tokareva, V.

AU - Lenok, V.

AU - Bezyazeekov, P.

AU - Golovachev, S.

AU - Sotnikov, V.

AU - Mullyadzhanov, R.

AU - Sotnikova, E.

N1 - Funding Information: The authors would like to express gratitude to the colleagues from KCDC team. M.A. acknowledges support from Villum Fonden under project no. 18994. The development and testing of the classifier was supported by the state contract with Institute of Thermophysics SB RAS. Publisher Copyright: © Copyright owned by the author(s).

PY - 2022/3/18

Y1 - 2022/3/18

N2 - Cosmic ray data collected by the KASCADE air shower experiment are competitive in terms of quality and statistics with those of modern observatories. We present a novel mass composition analysis based on archival data acquired from 1998 to 2013 provided by the KASCADE Cosmic ray Data Center (KCDC). The analysis is based on modern machine learning techniques trained on simulation data provided by KCDC. We present spectra for individual groups of primary nuclei, the results of a search for anisotropies in the event arrival directions taking mass composition into account, and search for gamma-ray candidates in the PeV energy domain.

AB - Cosmic ray data collected by the KASCADE air shower experiment are competitive in terms of quality and statistics with those of modern observatories. We present a novel mass composition analysis based on archival data acquired from 1998 to 2013 provided by the KASCADE Cosmic ray Data Center (KCDC). The analysis is based on modern machine learning techniques trained on simulation data provided by KCDC. We present spectra for individual groups of primary nuclei, the results of a search for anisotropies in the event arrival directions taking mass composition into account, and search for gamma-ray candidates in the PeV energy domain.

UR - http://www.scopus.com/inward/record.url?scp=85119947581&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85119947581

VL - 395

JO - Proceedings of Science

JF - Proceedings of Science

SN - 1824-8039

M1 - 319

T2 - 37th International Cosmic Ray Conference, ICRC 2021

Y2 - 12 July 2021 through 23 July 2021

ER -

ID: 40847330