DESIGN OF THE CONDITION DATABASE FOR ONLINE AND OFFLINE DATA PROCESSING IN EXPERIMENTAL SETUPS OF THE NICA COMPLEX
Abstract
Storing, processing and analyzing of experimental and simulated data are an integral part of
all modern high-energy physics experiments. These tasks are of particular importance in the experiments
of the NICA project at the Joint Institute for Nuclear Research (JINR) due to the high interaction
rate and particle multiplicity of ion collision events, therefore the task of automating the considered processes for the NICA complex has particular relevance. To solve the task, modern physics
experiments use various information systems, which control experiment data flows and simultaneously
service a large number of requests from various systems and collaboration members. The article
describes the design of a new information system based on the Condition Database as well as related
information services to automate storing and processing of data and information on the experiments.
The Condition Database is aimed at storing, searching and using various parameters and operation
modes of experiment systems. The system being implemented on the PostgreSQL DBMS will provide
the information for event data processing and physics analysis and organize a transparent, unified
access and data management throughout the life cycle of the scientific research. The article shows
the scheme and purposes of the Condition Database and its attributes, key aspects of the design are
highlighted. A place of the Condition Database in data processing flow is illustrated. The integration
of the information system with experiment software systems is also presented. The development of the
Condition Database interfaces has been started to use the stored information in event simulation, raw
data processing, reconstruction and physics analysis tasks.
References
ion collider facility. JINR, Dubna, 2014, 334 p.
2. MPD Collaboration. The MultiPurpose Detector – MPD. Conceptual Design Report. JINR,
Dubna, 2012, 259 p.
3. Kouznetsov O., Savin I. Spin Physics Experiments at NICA-SPD, Nuclear and Particle Physics
Proceedings, 2017, Vol. 282–284, pp. 20-26.
4. Baranov D., Kapishin M., Mamontova T., et al. The BM@N experiment at JINR: status and
physics program, KnE Energy & Physics, 2018, Vol. 3, pp. 291 -296.
5. Galavanov A., Khabarov S., Kirushin, et al. Studies of Short Range Correlations in inverse
kinematics at BM@N at the NICA facility, Journal of Physics: Conference Series, 2019, Vol.
1390, 012025.
6. Shiers J. Databases in High Energy Physics: A Critical Review, In: R. Brun, F. Carminati, G.
Galli Carminati. From the Web to the Grid and Beyond. Springer, 2011, pp. 225-266.
7. Aleksandrov E.I., Aleksandrov I.N., Gertsenberger K.V. i dr. Informatsionnye sistemy dlya
onlayn i oflayn obrabotki dannykh v sovremennykh eksperimentakh fiziki vyokikh energiy
[Information systems for online and offline data processing in modern high-energy physics experiments],
Mezhdunarodnyy nauchnyy zhurnal «Sovremennye informatsionnye tekhnologii i
IT-obrazovanie» [International scientific journal «Modern Information Technologies and
IT-Education»], 2019, Vol. 15, No. 3, pp. 645-650.
8. Baskakov A., Bazylev S., Fediunin A., Filippov I. MPD Data Acquisition System: Technical
Design Report. JINR, Dubna, 2018, 74 p.
9. Brun R., Rademakers F. ROOT – An Object Oriented Data Analysis Framework, Proceedings
AIHENP'96 Workshop. Nucl. Inst. & Meth. in Phys. Res. A., 1997, Vol. 389, pp. 81-86.
10. Gertsenberger K., Moshkin A., Chebotov A. Development of the Electronic Logbook for the
BM@N Experiment at NICA, CEUR Workshop Proceedings of the 27th International Symposium
Nuclear Electronics and Computing, 2019, Vol. 2507, pp. 175-179.
11. Andreev V., Volkov V., Gorbachev E., et al. TANGO standard software to control the
Nuclotron beam slow extraction, Physics of Particles and Nuclei Letters, 2016, Vol. 13,
pp. 605-608.
12. Adam Gh., Bashashin M., Belyakov D., et al. IT‑ecosystem of the HybriLIT heterogeneous
platform for high‑performance computing and training of IT‑specialists, CEUR Workshop
Proceedings of the VIII International Conference «Distributed Computing and Gridtechnologies
in Science and Education», 2018, Vol. 2267, pp. 638–644.
13. Serifi V., Dasic P., Jecmenica R., Labovic D. Functional and information modeling of production
using IDEF methods, Journal of Mechanical Engineering, 2009, Vol. 55, pp. 131-140.
14. Obe R., Hsu L. PostgreSQL: up and running. – O’Reilly Media, 2015. – 234 p.
15. Laycock P., Dykstra D., Formica A., et al. A Conditions Data Management System for HEP
Experiments, Journal of Physics: Conference Series, 2018, Vol. 1085, 032040.
16. Rinaldi L., Formica A., Gallas E., et al. Conditions evolution of an experiment in mid–life,
without the crisis (in ATLAS), EPJ Web of Conferences, 2019, Vol. 214, 04052.
17. Akishina E., Alexandrov E., Alexandrov I., et al. Conceptual considerations for CBM databases,
Communication of the Joint Institute for Nuclear Research, 2014, E10-2014-103.
18. Gertsenberger K., Merts S., Rogachevsky O., Zinchenko A. Simulation and analysis software
for the NICA experiments, European Physical Journal A, 2016, Vol. 52 (8), 214.
19. Al-Turany М., Bertini D., Karabowicz R., et al. The FairRoot framework, Journal of Physics:
Conference Series, 2012, Vol. 396, 022001.
20. Batyuk P., Gertsenberger K., Merts S., Rogachevsky O. The BmnRoot framework for experimental
data processing in the BM@N experiment at NICA, EPJ Web of Conferences, 2019,
Vol. 214, 05027.
