Speaker
Description
Precision measurements of Higgs and electroweak bosons at future lepton colliders (e.g., CEPC) demand unprecedented jet energy resolution. To achieve this, The CEPC reference detector employs an innovative long crystal bar electromagnetic calorimeter (ECAL) designed for Particle Flow. While offering superior energy and space resolution, this design introduces unique reconstruction challenges: significant shower overlaps due to the intrinsic material properties, and ghost hits (ambiguity) arising from the perpendicular bar arrangement.
In this talk, we present CyberPFA, a novel particle flow algorithm tailored for these scenarios. CyberPFA utilizes an energy-core-based pattern recognition strategy to disentangle overlapping showers and a suite of optimized algorithms to resolve ghost-hits. Evaluated with full detector simulation, CyberPFA achieves a 3.8% boson mass resolution for $H\to gg$ events, successfully surpassing the 4% physics requirement for CEPC. Furthermore, the algorithm's excellent two-photon separation power reaches the ECAL's granularity limit, enabling high-efficiency $\pi^{0}$ reconstruction that benefits flavor physics studies.
These results validate the long crystal bar ECAL as a viable design choice for future colliders and highlight the advanced nature of the energy-core-based reconstruction paradigm. The innovative approach of CyberPFA is not only effective for the current design but also offers potential for generalization to other high-granularity imaging calorimeters.
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