12–13 Jul 2026
Peking University
Asia/Shanghai timezone

次级粒子对基于PoCA算法的宇宙射线成像的影响研究

12 Jul 2026, 11:00
15m
School of Physics (Peking University)

School of Physics

Peking University

5th Yiheyuan Road, Haidian, Beijing, 100871, China

Speaker

Mr 荣峰 张 (北京大学)

Description

This work reinterprets “noise” in cosmic-ray imaging, showing that PoCA points outside the traditional volume of interest carry valuable physical information. Analysis of four-layer RPC data and Monte Carlo simulations with energy-weighted coordinates confirms that these points arise from muon interactions with materials above the detector, particularly the roof, producing secondary particles. Two main findings emerge: first, in the four-layer system, the first-layer records may come from secondary particles, while the lower three layers reflect true cosmic-ray trajectories; second, the roof strongly influences PoCA point distributions, with roof thickness correlating quantitatively with reconstructed points, measurable via $z$-coordinate analysis. Differences in roofing materials suggest this method could evolve into a novel tomography technique.

Primary author

Mr 荣峰 张 (北京大学)

Presentation materials

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