Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Tokareva Victoria"'
Publikováno v:
EPJ Web of Conferences, Vol 201, p 07001 (2019)
Kinematic filtting is one of the popular particle physics problems where constraint minimization is used. The constraints setting additional relations between parameters p can be given in form of equations φ(p1,..., pn) = 0. Often these equations ar
Externí odkaz:
https://doaj.org/article/9928bf6563c546f9bdb0773e6cb9a714
Autor:
Tokareva Victoria
Publikováno v:
EPJ Web of Conferences, Vol 177, p 05004 (2018)
New generation medicine demands a better quality of analysis increasing the amount of data collected during checkups, and simultaneously decreasing the invasiveness of a procedure. Thus it becomes urgent not only to develop advanced modern hardware,
Externí odkaz:
https://doaj.org/article/5f57c4d7bc1e448aabe990eb71d4094e
Autor:
Haungs, Andreas, Kang, Donghwa, Link, Katrin, Polgart, Frank, Tokareva, Victoria, Wochele, Doris, Wochele, Juergen
KCDC, the 'KASCADE Cosmic-ray Data Centre', is a web-based interface where initially the scientific data from the completed air-shower experiment KASCADE-Grande was made available for the astroparticle community as well as for the interested public.
Externí odkaz:
http://arxiv.org/abs/2108.07575
Autor:
Kazarina, Yulia, Khristyuk, Vasiliy, Kruykov, Alexander, Postnikov, Evgeny, Samoliga, Vladimir, Shigarov, Alexey, Tokareva, Victoria, Zhurov, Dmitriy
Publikováno v:
CEUR Workshop Proceedings, Vol-2679, pages 85-90, 2020
The modern astrophysics is moving towards the enlarging of experiments and combining the channels for detecting the highest energy processes in the Universe. To obtain reliable data, the experiments should operate within several decades, which means
Externí odkaz:
http://arxiv.org/abs/2009.10920
Autor:
Haungs, Andreas, Bychkov, Igor, Dubenskaya, Julia, Fedorov, Oleg, Heiss, Andreas, Kang, Donghwa, Kazarina, Yulia, Korosteleva, Elena, Kostunin, Dmitriy, Kryukov, Alexander, Mikhailov, Andrey, Nguyen, Minh-Duc, Polgart, Frank, Polyakov, Stanislav, Postnikov, Evgeny, Shigarov, Alexey, Shipilov, Dmitry, Streit, Achim, Tokareva, Victoria, Wochele, Doris, Wochele, Jürgen, Zhurov, Dmitry
A data life cycle (DLC) is a high-level data processing pipeline that involves data acquisition, event reconstruction, data analysis, publication, archiving, and sharing. For astroparticle physics a DLC is particularly important due to the geographic
Externí odkaz:
http://arxiv.org/abs/1907.13303
Autor:
Bychkov, Igor, Demichev, Andrey, Dubenskaya, Julia, Fedorov, Oleg, Haungs, Andreas, Heiss, Andreas, Kang, Donghwa, Kazarina, Yulia, Korosteleva, Elena, Kostunin, Dmitriy, Kryukov, Alexander, Mikhailov, Andrey, Nguyen, Minh-Duc, Polyakov, Stanislav, Postnikov, Evgeny, Shigarov, Alexey, Shipilov, Dmitry, Streit, Achim, Tokareva, Victoria, Wochele, Doris, Wochele, Jürgen, Zhurov, Dmitry
Publikováno v:
Data 2018, 3(4), 56
Modern large-scale astroparticle setups measure high-energy particles, gamma rays, neutrinos, radio waves, and the recently discovered gravitational waves. Ongoing and future experiments are located worldwide. The data acquired have different formats
Externí odkaz:
http://arxiv.org/abs/1811.12086
Autor:
Tokareva, Victoria
Demanding requirements of fundamental physics at large-scale facilities are forcing researchers to use and further develop sophisticated computer science for high-efficient data processing, analysis, curation and preservation. PUNCH4NFDI (Particles,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c9ba7bb94f95b884431ce60798f619f
Autor:
Polgart, Frank, Haungs, Andreas, Kang, Donghwa, Wochele, Doris, Wochele, Jürgen, Tokareva, Victoria
We will introduce a data analysis extension for the KAS-CADE Cosmic-ray Data Center (KCDC), based on the Jupyterhub/notebookecosystem. A user-friendly interface, easy access to data from KCDC, andmodern analysis software are of special interest. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adb6e608b454f887fa73153938a5cf92
Autor:
Tokareva, Victoria, Haungs, Andreas, Kang, Donghwa, Polgart, Frank, Wochele, Doris, Wochele, Jürgen
The big data revolution has overturned well-established ap-proaches to data analysis and intensified the demand for access to het-erogeneous data. Modern developed methods allow for the extraction ofnew knowledge from the data, which enables research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::270a2b11fe757418b16fcfeb7ebc0bb5
https://publikationen.bibliothek.kit.edu/1000124153
https://publikationen.bibliothek.kit.edu/1000124153
Autor:
Haungs, Andreas, Bychkov, Igor, Dubenskaya, Julia, Fedorov, Oleg, Heiss, Andreas, Kang, Donghwa, Kazarina, Yulia, Korosteleva, Elena, Kostunin, Dmitriy, Kryukov, Alexander, Mikhailov, Andrey, Nguyen, Minh-Duc, Polgart, Frank, Polyakov, Stanislav, Postnikov, Evgeny, Shigarov, Alexey, Shipilov, Dmitry, Streit, Achim, Tokareva, Victoria, Wochele, Doris, Wochele, Jürgen, Zhurov, Dmitry
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d05ba5d829dc1efa0ee70f1a815bd61
https://publikationen.bibliothek.kit.edu/1000099301/45927837
https://publikationen.bibliothek.kit.edu/1000099301/45927837