May 13 – 19, 2018
Venice, Italy
Europe/Zurich timezone
The organisers warmly thank all participants for such a lively QM2018! See you in China in 2019!

Constructing probability density function of net-proton multiplicity distributions using Pearson curve method

May 15, 2018, 5:00 PM
2h 40m
First floor and third floor (Palazzo del Casinò)

First floor and third floor

Palazzo del Casinò

Poster Phase diagram and search for the critical point Poster Session


Dr Nirbhay Kumar Behera (Inha University (KR))


One of the main goals of Beam Energy Scan program of Relativistic Heavy-ion collision experiment is to map the QCD phase diagram. Measurement of higher order cumulants of net-proton and net-charge distributions are regarded as one of the potential tools to locate the QCD critical point in the phase diagram. Knowing the probability distributions of net-proton are useful for quark-meson (QM) model within the functional renormalization group approach to study the O(4) criticality. However, there are a lot of challenges to eliminate the detector effect from the experimentally measured distributions. In this poster, we will discuss the Pearson curve method to construct the efficiency corrected probability distribution of net-proton from the experimental results of STAR experiment. Furthermore, the beam energy dependence of sixth and eighth order cumulants estimated from the constructed distributions will be discussed. The predicted cumulants ratio results will be compared with various statistical models.

Centralised submission by Collaboration Presenter name already specified
Content type Theory

Primary author

Dr Nirbhay Kumar Behera (Inha University (KR))

Presentation materials