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Trigger and noise filtering algorithms for the LHAASO water Cherenkov detector array

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A Correction to this article was published on 13 March 2018

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Abstract

Introduction

The Large High Altitude Air Shower Observatory (LHAASO) will be constructed at Mt. Haizishan, Sichuan Province, China. Among several detector components of the LHAASO, the Water Cherenkov Detector Array (WCDA) is of great importance for gamma-ray astronomy from 100 GeV to 30 TeV. The single-channel counting rate of a photo- multiplier tube can reach as high as 30 -35 kHz, most of them are background noise hits from the low energy cosmic ray showers, bringing a big challenge on data transferring, data storage and event reconstruction.

Methods

In this paper, a dedicated trigger scheme and a fast noise filtering method aiming to deal with these high rate background noise hits are introduced. These methods are tested with some Monte Carlo simulation data, showing a fair efficiency in filtering background noise hits, while most of the real shower signals are kept.

Conclusion

This method is proposed to be applied in a stage of the online processing just after the data are acquired in LHAASO-WCDA.

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  • 13 March 2018

    The original version of these four articles as below unfortunately contained a mistake. The category “Review” was incorrect. The correct category is “Original Paper”.

Notes

  1. On how to calculate the spurious trigger rate, please read the “Calculating the spurious trigger rate” section below—the calculation formula is quite same.

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Acknowledgements

This work is supported in China by NSFC (No. 11675187, No. 11375224, No. 11635011), and the Key Laboratory of Particle Astrophysics, Chinese Academy of Sciences.

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Correspondence to Xiao-Jie Wang.

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On behalf of all authors, the corresponding author states that there is no conflict of interest

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A correction to this article is available online at https://doi.org/10.1007/s41605-018-0036-4.

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Wang, XJ., Yao, ZG., Zha, M. et al. Trigger and noise filtering algorithms for the LHAASO water Cherenkov detector array. Radiat Detect Technol Methods 1, 14 (2017). https://doi.org/10.1007/s41605-017-0015-1

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  • DOI: https://doi.org/10.1007/s41605-017-0015-1

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