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 triple-differential yield can be degraded by not only methodology to estimate reaction plane direction but also imperfect detector performance such as the detection inefficiency and detector acceptance. Richardson-Lucy deblurring algorithm describes a method to restore the degraded intensity distributions and is widely used in various fields such as optics and astronomy. Inspired by this algorithm, the dedicated deblurring algorithm has been developed and applied to the analysis for $^{132,108} \rm Sn + ^{124,112}Sn$ at 270 AMeV by the SpiRIT Collaboration. In this presentation, we introduce the deblurring process using the Richardson-Lucy algorithm to restore the triple-differential yield and compare the results before and after deblurring process including flow parameter as an example of triple-differential yield.