Resonance Reconstruction in the MPD

Dmitry Ivanishchev,Yury Ryabov,Victor Riabov,Dmitry Kotov,Mikhail Malaev

doi:10.3390/particles4010003

Abstract

The study of hadronic resonance production is an essential part of the physical programs of many heavy-ion experiments. Detailed measurement of the resonance properties is also foreseen in the future Multi-Purpose Detector (MPD) experiment at the NICA collider. In this report, we focus on the experimental challenges for the reconstruction of resonances in heavy-ion experiments and examine the MPD capabilities for the reconstruction of ρ(770)0, K*(892)0,±, φ(1020), Λ(1520), Σ(1385)± and Ξ(1530)0.

Highlights

The resonance measurements at SPS, RHIC and the LHC have been used to study properties of the late hadronic phase, processes that are responsible for the enhanced production of strangeness, hadronization mechanisms and effects that shape the particle transverse momentum spectra and the flavor-dependent parton energy loss, etc
The Multi-Purpose Detector (MPD) detector provides a high efficiency of charged particle track reconstruction in the large acceptance time-projection chamber (TPC) covering full acceptance in azimuth and |η| < 1.2 with a momentum resolution of ~1–2% and excellent particle identification capabilities based on the measurements of the particle specific energy loss in the TPC gas and time-of-flight in the TOF subsystem covering the full acceptance of the central barrel
(1530)0 resonances will be possible with the MPD detector in Au+Au collisions at NICA

Summary

Introduction

Study of the resonance properties includes measurement of their yields in a wide range of transverse momentum, reconstruction of the peak shapes to detect possible mass/width modifications, and measurement of the resonance angular distributions with respect to the event plane, other leading particles in the event or identical resonances [3]. All these measurements are not trivial and require the development of specific analysis methods.

Reconstruction of Resonances and Experimental Challenges

Measurement

Conclusions