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Particle identification-driven pad size optimization in the high-granularity readout TPC technology for future $$e^{+}e^{-}$$ Collider
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DOI：10.1140/epjs/s11734-026-02533-2.png)
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Abstract
En 中文
The Circular Electron Positron Collider (CEPC) requires excellent particle identification (PID) capability for precision physics measurements. As its main tracker, a Time Projection Chamber (TPC) based on high-granularity Micromegas readout offers strong PID potential through cluster-counting methods. For high-granularity readout pads, the choice of the pad size critically affects both PID performance and technical feasibility. In this work, a preliminary full-physics simulation is established to systematically evaluate the $$\pi /K$$ separation power across pad sizes ranging from $$55\times 55$$ to $$500\times 500$$ $$\mu \textrm{m}^{2}$$ , mainly focusing on the effects of primary and secondary ionization as well as diffusion. Results show that, when taking all ionization and diffusion effects (both drift and avalanche diffusion) into account, the PID performance remains almost constant for readout pads smaller than $$500\times 500$$ $$\mu \textrm{m}^{2}$$ . With the application of a truncated-mean method and optimized reconstruction parameters, the TPC can achieve the required $$3\sigma$$ $$\pi /K$$ separation for momenta up to 20 GeV/c for various readout sizes, and larger pads offer advantages in channel count and power consumption. Additionally, the design and high-voltage commissioning of a full-drift-length TPC prototype is reported, aimed at experimentally validating key drift parameters used in simulations, and experimentally investigating the pad-size dependence of cluster counting performance. This study provides a PID-driven pad size optimization strategy and supports the engineering design of the high-granularity readout TPC technology.
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E
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2.3
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