activity
20232026
most citedA Design of Hadronic Calorimeter for DarkSHINE Experiment

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

hep-ex2026

Prospective study of light dark matter search in positron beam mode with DarkSHINE experiment initiative

Xu-Liang Zhu, Haidar Mas'ud Alfanda, Shu Li +4

We perform the prospective study on searching for invisibly decayed dark photons () in positron-on-fixed-target (POT) scheme with the DarkSHINE experiment simulation se…

physics.ins-det2026

SiPM non-linearity studies in beam tests with scintillating crystals

Zhiyu Zhao, Dejing Du, Shu Li +4

High-granularity homogeneous electromagnetic calorimeters based on scintillating crystals and silicon photomultipliers (SiPMs) are a promising option for future Higgs…

physics.ins-det2026

Conceptual Design of a Novel Highly Granular Crystal Electromagnetic Calorimeter for Future Higgs Factories

Baohua Qi, Fangyi Guo, Shu Li +9

Next-generation high-energy electron-positron colliders, operating as Higgs factories, require an unprecedented jet energy resolution for precision measurements of Higgs and Z/W bo…

physics.ins-det2024★ 1 cited

Design of High-speed readout electronics for the DarkSHINE electromagnetic calorimeter

Yihan Guo, Shu Li, Kun Liu +8

The DarkSHINE experiment aims to search for dark photons by measuring the energy loss of the electrons recoiled from fixed-target. Its electromagnetic calorimeter is primarily resp…

physics.ins-det2024

Design of a LYSO Crystal Electromagnetic Calorimeter for DarkSHINE Experiment

Zhiyu Zhao, Qibin Liu, Jiyuan Chen +24

This paper presents the design and optimization of a LYSO crystal electromagnetic calorimeter (ECAL) for the DarkSHINE experiment, which aims to search for dark photons as potentia…

physics.ins-det2023★ 3 cited

A Design of Hadronic Calorimeter for DarkSHINE Experiment

Zhen Wang, Rui Yuan, Hanqing Liu +14

The sensitivity of the dark photon search through invisible decay final states in low background experiments significantly relies on the neutron and muon veto efficiency, which dep…

hep-ex2023

Study of residual artificial neural network for particle identification in the CEPC high-granularity calorimeter prototype

Siyuan Song, Jiyuan Chen, Jianbei Liu +6

Particle Identification (PID) plays a central role in associating the energy depositions in calorimeter cells with the type of primary particle in a particle flow oriented detector…