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Event index-based analysis in the JUNO experiment

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Radiation Detection Technology and Methods Aims and scope Submit manuscript

Abstract

Purpose

The Jiangmen Underground Neutrino Observatory (JUNO) is a large-scale neutrino experiment designed mainly for determining the neutrino mass hierarchy and accurately measuring the parameters of neutrino oscillation by detecting reactor antineutrinos. It is estimated that the detector will record approximately 5.2 TB of raw data every day, which only contain around 60 neutrino events. The time correlation analysis needs to select physics events from a very large data set.

Methods

To address this challenge, an event index-based analysis software framework is designed and its major developments include: 1) A new analysis workflow is implemented including pre-selection and event selection, and the former works as a data filter of the latter. 2) A new data format is defined to support reading indexed events efficiently for event pre-selection. In order to further improve the performance of data analysis, other developments are also completed, i.e. adding the support of multithreading based on TBB and moving computing-intensive components from data I/O service to the computation algorithm.

Results and conclusion

The performance tests are completed on the simulated data which are close to real experimental data. The results show that reading data are 5 times faster from an IAD file than from a tree in the ROOT file. The multithreaded analysis exhibits high scalability. Performance studies also show that, with the event index method and multithreading, the efficiency of a typical analysis of JUNO can be improved by two orders of magnitude.

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References

  1. T. Adam, F. An, G. An, Q. An, N. Anfimov, V. Antonelli, G. Baccolo, M. Baldoncini, E. Baussan, M. Bellato, et al.: Juno conceptual design report. ar**v preprint ar**v:1508.07166 (2015)

  2. F. An, G. An, Q. An, V. Antonelli, E. Baussan, J. Beacom, L. Bezrukov, S. Blyth, R. Brugnera, M.B. Avanzini et al., Neutrino physics with juno. J. Phys. G: Nucl. Part. Phys. 43(3), 030401 (2016)

  3. A. Abusleme, T. Adam, S. Ahmad, R. Ahmed, S. Aiello, M. Akram, F. An, G. An, Q. An, G. Andronico et al., Calibration strategy of the juno experiment. J. High Energy Phys. 2021(3), 1–33 (2021)

    Article  Google Scholar 

  4. R. Marina, Jiangmen underground neutrino observatory (juno): on the way to physics data (2022)

  5. A. Abusleme, T. Adam, S. Ahmad, R. Ahmed, S. Aiello, M. Akram, F. An, G. An, Q. An, G. Andronico, et al.: Juno physics and detector. ar**v preprint ar**v:2104.02565 (2021)

  6. I. Antcheva, M. Ballintijn, B. Bellenot, M. Biskup, R. Brun, N. Buncic, P. Canal, D. Casadei, O. Couet, V. Fine et al., Root-a c++ framework for petabyte data storage, statistical analysis and visualization. Comput. Phys. Commun. 180(12), 2499–2512 (2009)

  7. J. Zou, X. Huang, W. Li, T. Lin, T. Li, K. Zhang, Z. Deng, G. Cao, Sniper: an offline software framework for non-collider physics experiments. J. Phys.: Conf. Series 664, 072053 (2015)

  8. T. Li, X. **a, X.-T. Huang, J.-H. Zou, W.-D. Li, T. Lin, K. Zhang, Z.-Y. Deng, Design and development of juno event data model. Chin. Phys. C 41(6), 066201 (2017)

    Article  ADS  Google Scholar 

  9. J. Reinders, Intel threading building blocks - outfitting C++ for multi-core processor parallelism (2007)

  10. X. Fang, Y. Zhang, G. Gong, G. Cao, T. Lin, C. Yang, W. Li, Capability of detecting low energy events in juno central detector. J. Instrum. 15(03), 03020 (2020)

    Article  Google Scholar 

  11. T. Li, X. Huang, A new type of smart pointer for data object reference both in memory and in root files. J. Phys.: Conf. Series 762, 012001 (2016)

    Google Scholar 

  12. B. Bockelman, Z. Zhang, J. Pivarski, Optimizing root io for analysis. J. Phys.: Conf. Series 1085, 032012 (2018)

    Google Scholar 

Download references

Acknowledgements

This work is supported by the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant No. XDA10010900, National Natural Science Foundation of China (NSFC) under Grant No. 12375195, No. 12025502, No. 12341504, and Youth Innovation Promotion Association under Grant No. 2022011.

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Authors and Affiliations

  1. Institute of High Energy Physics, Chinese Academy of Sciences, Bei**g, 100049, China

    Yixiang Yang, Weidong Li, Tao Lin, Jiaheng Zou & Simon Charles Blyth

  2. University of Chinese Academy of Sciences, Bei**g, 100049, China

    Yixiang Yang & Weidong Li

  3. Shandong University, Qingdao, 266237, China

    **ngtao Huang & Teng Li

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  1. Yixiang Yang
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  2. Weidong Li
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  3. Tao Lin
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  4. Jiaheng Zou
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  5. Simon Charles Blyth
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  6. **ngtao Huang
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  7. Teng Li
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Correspondence to Weidong Li.

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Yang, Y., Li, W., Lin, T. et al. Event index-based analysis in the JUNO experiment. Radiat Detect Technol Methods (2024). https://doi.org/10.1007/s41605-024-00477-6

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  • DOI: https://doi.org/10.1007/s41605-024-00477-6

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