Optimization of particle identification performance in a high-granularity TPC at CEPC

doi:10.1140/epjs/s11734-026-02531-4

Optimization of particle identification performance in a high-granularity TPC at CEPC

2026-07-15

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DOI：10.1140/epjs/s11734-026-02531-4

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A high-granularity Time Projection Chamber (TPC) has been proposed as the central tracking detector for the Circular Electron Positron Collider (CEPC) to achieve excellent tracking and particle identification (PID) performance. In this work, a dedicated simulation framework based on COMSOL and Garfield++ is developed to evaluate the PID capability of a CEPC-TPC equipped with high-granularity readout. Owing to the fine spatial segmentation, the detector provides access to both the conventional specific energy loss ( $$\textrm{d}E/\textrm{d}x$$ ) and an alternative observable derived from the number of activated readout units along particle trajectories ( $$\textrm{d}N_p/\textrm{d}x$$ ). The impacts of readout granularity, diffusion, electronic noise, and reconstruction parameters on the PID performance are systematically studied. The results indicate that the high-granularity readout significantly improves particle separation compared with conventional pad-based readout. With a readout size of $$500\,\mu \textrm{m}$$ , a $$\pi /K$$ separation power of $$3.48\sigma$$ is achieved at 20 GeV/c, satisfying the CEPC design requirement. This study demonstrates the potential of high-granularity TPC readout for enhanced PID in future precision collider experiments.

Optimization of particle identification performance in a high-granularity TPC at CEPC

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