Speaker
Description
The CBM experiment at FAIR-SIS100 will investigate strongly interacting matter at high baryon density and moderate temperature. One of proposed key observable is the measurement of the low mass vector mesons(LMVMs), which can be detected via their di-lepton decay channel. As the decayed leptons leave the dense and hot fireball without further interactions, they can provide unscathed information about the fireball, produced in energetic nuclear collisions.
We report, simulation results for the reconstruction of di-muon continuum spectra for AuAu 8AGeV central collisions using machine learning(ML) techniques for selection of muon track candidates. The results from various ML models have been compared with the traditional selection cuts for omega(
We have attempted to reconstruct LMVM (
Based on the the simulation results, improvement in di-muon performance is reported. For comparable S/B ratio, the pair reconstruction efficiency and significance is observed to be increased subtantially for