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Improvement in the 3D shower shapes description in the Monte Carlo simulation for a lead-scintillating fiber electromagnetic calorimeter

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Abstract

Background

The lead-scintillating fiber electromagnetic calorimeter (ECAL) of the Alpha Magnetic Spectrometer measures the energy of positrons/electrons and separates them from hadrons. The electromagnetic shower shapes from Monte Carlo (MC) simulation and data show disagreement.

Purpose

Tuning the MC to make the shower shapes from MC and data agree with each other.

Methods

The tuning is based on a 3D electromagnetic shower model.

Results

After tuning, the electromagnetic shower shapes are well described by MC up to TeV. As a result, the output of ECAL electron/proton separation estimator, ECAL BDT, shows that MC and data are in good agreement. The proton rejection power of the ECAL BDT trained with MC electron samples is improved by a factor of 5 at \(\sim \,800\,\hbox {GeV}\) compared to the one trained with data.

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Acknowledgements

We thank Dr. Weiwei Xu for useful discussions on the 3D shower model.

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Authors and Affiliations

  1. Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China

    Xue-Qiang Wang, Zu-Hao Li, Zhi-Cheng Tang, Cheng Zhang, Fei Zhao, Ze-Tong Sun, Feng-Ze Zhang, Jia-Yu Hu, Guo-Ming Chen & He-Sheng Chen

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Xue-Qiang Wang, Zu-Hao Li, Fei Zhao, Ze-Tong Sun, Feng-Ze Zhang, Jia-Yu Hu, Guo-Ming Chen & He-Sheng Chen

Authors
  1. Xue-Qiang Wang
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  2. Zu-Hao Li
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  3. Zhi-Cheng Tang
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  4. Cheng Zhang
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  5. Fei Zhao
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  6. Ze-Tong Sun
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  7. Feng-Ze Zhang
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  9. Guo-Ming Chen
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  10. He-Sheng Chen
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Corresponding author

Correspondence to Zu-Hao Li.

Additional information

Supported by National Natural Science Foundation of China (11220101004), the UCAS Joint Ph.D. Training Program and the China Scholarship Council.

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Wang, XQ., Li, ZH., Tang, ZC. et al. Improvement in the 3D shower shapes description in the Monte Carlo simulation for a lead-scintillating fiber electromagnetic calorimeter. Radiat Detect Technol Methods 3, 34 (2019). https://doi.org/10.1007/s41605-019-0113-3

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  • DOI: https://doi.org/10.1007/s41605-019-0113-3

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