4 research outputs found

    The comparison of methods for anisotropic flow measurements with the MPD Experiment at NICA

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    The anisotropic collective flow is one of the key observables to study the properties of dense matter created in heavy-ion collisions. The performance of Multi-Purpose Detector (MPD) at NICA collider for directed and elliptic flow measurements is studied with Monte-Carlo simulations of heavy-ion collisions at energies sNN\sqrt{s_{NN}} = 4 - 11 GeV.Comment: 10 pages, 8 figures, to be published in the Proceedings of the Conference "RFBR Grants for NICA" (Dubna, 20-23 October 2020), Journal Physics of Elementary Particles and Atomic Nucle

    The comparison of methods for anisotropic flow measurements with the MPD Experiment at NICA

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    The anisotropic collective flow is one of the key observables to study the properties of dense matter created in heavy-ion collisions. The performance of Multi-Purpose Detector (MPD) at NICA collider for directed and elliptic flow measurements is studied with Monte-Carlo simulations of heavy-ion collisions at energies sNN\sqrt{s_{NN}} = 4 - 11 GeV

    Status and initial physics performance studies of the MPD experiment at NICA

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    The Nuclotron-based Ion Collider fAcility (NICA) is under construction at the Joint Institute for Nuclear Research (JINR), with commissioning of the facility expected in late 2022. The Multi-Purpose Detector (MPD) has been designed to operate at NICA and its components are currently in production. The detector is expected to be ready for data taking with the first beams from NICA. This document provides an overview of the landscape of the investigation of the QCD phase diagram in the region of maximum baryonic density, where NICA and MPD will be able to provide significant and unique input. It also provides a detailed description of the MPD set-up, including its various subsystems as well as its support and computing infrastructures. Selected performance studies for particular physics measurements at MPD are presented and discussed in the context of existing data and theoretical expectations
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