Accurate identification of charged pions and kaons is essential for precision measurements in relativistic heavy-ion collisions, but becomes increasingly challenging at intermediate and high transverse momentum due to the overlap between time-of-flight mass-square () and ionization energy loss () distributions. In this work, we present a two-dimensional shift and rotation method that exploits the correlated information between and to enhance particle identification performance. The method is validated using Au+Au collision events generated with the AMPT model, where detector response effects are incorporated through a data-driven smearing procedure tuned to reproduce the particle identification performance of the STAR experiment. The reconstructed pion and kaon transverse momentum distributions show excellent agreement with the AMPT input, maintaining a purity exceeding 98% at high and extend the reliable identification range up to 3 GeV/. The extracted elliptic flow remains consistent with the input over the extended range, demonstrating that the proposed method provides a robust framework for high precision identified hadron measurements.

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