Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Increasing Quality of Experiment Interpretation in Real-Time. / Koshkarev, A. M.; Bykov, T. A.; Kolesnikov, Ia A. и др.
27th Russian Particle Accelerator Conference, RuPAC 2021. ред. / Maksim Kuzin; Volker R W Schaa. CERN, 2021. стр. 407-409 WEPSC33 (CERN-Proceedings; Том 2021-September).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Increasing Quality of Experiment Interpretation in Real-Time
AU - Koshkarev, A. M.
AU - Bykov, T. A.
AU - Kolesnikov, Ia A.
AU - Makarov, A. N.
AU - Sokolova, E. O.
AU - Taskaev, S. Yu
N1 - Funding Information: Work supported by Russian Science Foundation, grant No. 19-72-30005 email address: koshi8bit@mail.ru Publisher Copyright: © 27th Russian Particle Accelerator Conference, RuPAC 2021. All rights reserved.
PY - 2021
Y1 - 2021
N2 - An Epithermal neutron source based on an electrostatic tandem accelerator of a new type - Vacuum Insulation Tandem Accelerator, and a lithium neutron generating target has been proposed and developed at the Budker Institute of Nuclear Physics [1] for the Boron Neutron Capture Therapy [2] - the promising method for treatment of tumours and for other applications. This paper proposes and implements a flexible and customizable method for the operational data processing, allowing an operator and physicists to obtain and analyze the information during the experiment without the need of post-processing data. The application of it accelerates the process of obtaining informative data during the experimental research and automates the analysis process. Also it was proposed and implemented a process of automatic distributed journaling of the results of the experiment. As a result of the implementation of the proposed tools the productivity of the analysis of experimental data and the detailing of the experimental journal was increased the developed and implemented system of real-time data processing has shown its effectiveness and has become an integral part of the control system, data collection and data storage of the epithermal neutron source.
AB - An Epithermal neutron source based on an electrostatic tandem accelerator of a new type - Vacuum Insulation Tandem Accelerator, and a lithium neutron generating target has been proposed and developed at the Budker Institute of Nuclear Physics [1] for the Boron Neutron Capture Therapy [2] - the promising method for treatment of tumours and for other applications. This paper proposes and implements a flexible and customizable method for the operational data processing, allowing an operator and physicists to obtain and analyze the information during the experiment without the need of post-processing data. The application of it accelerates the process of obtaining informative data during the experimental research and automates the analysis process. Also it was proposed and implemented a process of automatic distributed journaling of the results of the experiment. As a result of the implementation of the proposed tools the productivity of the analysis of experimental data and the detailing of the experimental journal was increased the developed and implemented system of real-time data processing has shown its effectiveness and has become an integral part of the control system, data collection and data storage of the epithermal neutron source.
UR - http://www.scopus.com/inward/record.url?scp=85130355669&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/552245c3-9c00-3d68-a9d1-e1b93ef03cba/
U2 - 10.18429/JACoW-RuPAC2021-WEPSC33
DO - 10.18429/JACoW-RuPAC2021-WEPSC33
M3 - Conference contribution
AN - SCOPUS:85130355669
SN - 9783954502400
T3 - CERN-Proceedings
SP - 407
EP - 409
BT - 27th Russian Particle Accelerator Conference, RuPAC 2021
A2 - Kuzin, Maksim
A2 - Schaa, Volker R W
PB - CERN
T2 - 27th Russian Particle Accelerator Conference, RuPAC 2021
Y2 - 27 September 2021 through 1 October 2021
ER -
ID: 36162125