Speaker
Description
The triple-differential yield as functions of the transverse momentum, the rapidity and the azimuthal angle relative to the estimated reaction plane is a critical observable for the collective-flow analysis in heavy-ion collisions. However, the signal could be degraded by imperfect detector performance such as the detection inefficiency and partial coverage of the acceptance in phase space. In optics the Richardson-Lucy deblurring algorithm was invented and applied to the degraded intensity distributions to recover the original images. Inspired by this analysis technique in optics, the dedicated deblurring algorithm for heavy-ion collisions has been developed and applied to the flow analysis for $^{132,108}$Sn + $^{124,112}$Sn at 270 AMeV by the SPiRIT Collaboration. In this presentation, we describe the principle of the deblurring process using the Richardson-Lucy algorithm to restore the original triple-differential particle distributions, which may exhibit different features of the collective flow, compared to the results without applying the deblurring process.
