Correcting Differential Correlation functions for Collision Centrality bin width effects

We present a technique to correct number and momentum differential correlation functions $R_2$, $G_2$ and $P_2$, for collision centrality bin width averaging. The technique is based on the hypothesis that single- and pair- probability distributions vary slower than single and pair multiplicity of particles of interest as a function of collision centrality in A--A collisions. We test the technique with simulations based on the HIJING and UrQMD models and conclude it enables a precision better than 1% for particles in the kinematic range $0.2 \leq p_{\rm T} \leq 2.0$ $\text{GeV}/c$.