25–29 May 2026
La Biodola - Isola d'Elba (Italy)
Europe/Rome timezone
NB: The submission deadline for the Student Paper Awards is Monday, 11 May.

Real Time Data Acquisition for Atmospheric muography based on the Thin Gap Chamber

26 May 2026, 11:25
1h 5m
Elena Room (Hotel Hermitage)

Elena Room

Hotel Hermitage

Poster presentation Data Acquisition and Trigger Architectures Data Acquisition and Trigger Architectures - PS

Speakers

Ms Jia Dong (Shandong University)Ms Xiaohan Sun (Shandong University)Mr Xian Li (Shandong University)Mr changyu Li (Shandong University)Ms Yuying Li (Shandong University) Chengguang Zhu (Shandong University (CN))Dr Kang Jia (Shandong University) Kun Hu (Shandong University (CN))

Description

Typhoons, as high-energy weather systems, rely heavily on the dynamic evolution of internal refined structures (e.g., eyewall pressure gradients and core density distributions) for accurate intensity forecasting. However, inherent limitations in the penetration depth and spatial resolution of conventional atmospheric density imaging techniques preclude the direct observation of internal refined structures of typhoons. Considering the correlation between the flux of cosmic-ray muons and atmospheric density, this study developed a system to achieve atmospheric muography, providing critical data support for the retrieval of real-time pressure field distribution in the typhoon core region. The developed system employs a 384-channel Thin Gap Chamber (TGC) detector array, comprising two identical double-layer TGC units. Each unit includes an orthogonal readout structure composed of 96 anode wires and 96 cathode strips. The data acquisition system adopts a distributed architecture, where two FEBs and one DAQ Board are combined to implement muon event selection for multi-layer detectors. The final three-dimensional muon track reconstruction was completed offline. This prototype system has been deployed on the "TongJi • Marine No.1" Observation Tower in the East China Sea, enabling continuous real-time data acquisition. The preliminary test results will be reported in the meeting.

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Authors

Ms Jia Dong (Shandong University) Ms Xiaohan Sun (Shandong University) Mr Xian Li (Shandong University) Mr changyu Li (Shandong University) Ms Yuying Li (Shandong University) Chengguang Zhu (Shandong University (CN)) Dr Kang Jia (Shandong University) Kun Hu (Shandong University (CN))

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