Speaker
Description
Particle Identification (PID) is a key requirement for the physics program of the future Electron-Ion Collider (EIC), particularly for Deep Inelastic Scattering (DIS) and Semi-Inclusive DIS (SIDIS) measurements. The EIC will provide unprecedented luminosity and wide kinematic coverage, enabling high-precision studies of the three-dimensional structure of nucleons through multi-differential observables. For this reason, robust PID capabilities are indispensable to perform high-precision and reliable measurements.
In this work, we present a performance study of the PID system of the ePIC detector, focusing on its impact on multi-dimensional SIDIS analyses. The study evaluates PID performance in terms of efficiency ($e$), purity ($p$), and a combined figure of merit defined as $1/(p\sqrt{e\cdot N})$, where $N$ is the yield scaled on the expected EIC luminosities. This quantity is directly related to the statistical precision of the reconstructed observables and provides a compact metric to estimate the interplay between detector performance and physics sensitivity.
The analysis is performed using a four-dimensional binning in the Bjorken fraction ($x_B$), scale of the process ($Q^2$), hadron energy fraction carried by the struck quark ($z$), and the transverse momentum carried by the identified hadron ($P_{hT}$). Multi-dimensional extractions are crucial for SIDIS studies, as the extraction of collinear Parton Distribution Functions (PDF) and Transverse Momentum Dependent (TMD) distributions relies on observables that depend simultaneously on these kinematic variables and on their correlations.
The results demonstrate how the ePIC detector's performance varies across the SIDIS phase space, identifying kinematic regions where PID performance plays a dominant role in limiting measurement precision. These studies provide essential input for the optimization of the ePIC detector design and have been included as a contribution to the ePIC experiment's pre-Technical Design Report (pre-TDR).
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