Javascript must be enabled to continue!
Study of Bulk Properties of Strange Particles in Au+Au Collisions at sNN = 54.4 GeV
View through CrossRef
We analyzed the transverse momentum pT spectra of various strange hadrons KS0, Λ(Λ¯) and Ξ−(Ξ¯+) at mid-rapidity (y) in different centrality intervals from Au+Au collisions at sNN= 54.4 GeV. The pT spectra of these strange hadrons are investigated by the Tsallis-like distribution, which satisfactorily fits the experimental data. The bulk properties of the medium produced in ultra-relativistic heavy-ion collisions at the kinetic freeze-out are reflected by measuring the hadron spectra. The effective temperature T, transverse flow velocity βT, and mean pT along with other parameters that are strongly dependent on centrality and particle specie are extracted. The effective temperature of multi-strange particle (Ξ−(Ξ¯+)) is larger as compared to singly-strange particles Λ(Λ¯) and KS0. Furthermore, the kinetic freeze-out temperature T, transverse flow velocity βT. and mean pT (⟨pT⟩) show a decreasing trend towards lower centrality, while the entropy parameter q increases from central to peripheral collisions. In addition, a positive correlation of ⟨pT⟩ and T and a negative correlation of q and T are also reported.
Title: Study of Bulk Properties of Strange Particles in Au+Au Collisions at sNN = 54.4 GeV
Description:
We analyzed the transverse momentum pT spectra of various strange hadrons KS0, Λ(Λ¯) and Ξ−(Ξ¯+) at mid-rapidity (y) in different centrality intervals from Au+Au collisions at sNN= 54.
4 GeV.
The pT spectra of these strange hadrons are investigated by the Tsallis-like distribution, which satisfactorily fits the experimental data.
The bulk properties of the medium produced in ultra-relativistic heavy-ion collisions at the kinetic freeze-out are reflected by measuring the hadron spectra.
The effective temperature T, transverse flow velocity βT, and mean pT along with other parameters that are strongly dependent on centrality and particle specie are extracted.
The effective temperature of multi-strange particle (Ξ−(Ξ¯+)) is larger as compared to singly-strange particles Λ(Λ¯) and KS0.
Furthermore, the kinetic freeze-out temperature T, transverse flow velocity βT.
and mean pT (⟨pT⟩) show a decreasing trend towards lower centrality, while the entropy parameter q increases from central to peripheral collisions.
In addition, a positive correlation of ⟨pT⟩ and T and a negative correlation of q and T are also reported.
Related Results
Collective phenomena in (multi)strange-hadron production at high µB: performance of the CBM experiment at FAIR
Collective phenomena in (multi)strange-hadron production at high µB: performance of the CBM experiment at FAIR
The strong force is one of the four fundamental interactions, and the theory of it is called Quantum Chromodynamics (QCD). A many-body system of strongly interacting particles (QCD...
Transverse Dynamics of Strange Hadrons in Relativistic Heavy-Ion Collisions
Transverse Dynamics of Strange Hadrons in Relativistic Heavy-Ion Collisions
We present a study of the mean transverse momentum pT of identified strange hadrons (KS0,Λ,Λ¯,Ξ−,Ξ¯+,ϕ,Ω−,Ω¯+) produced in Au+Au collisions at RHIC-BES energies (the nucleon–nucleo...
A Survey of Supervised Learning Models for Spiking Neural Network
A Survey of Supervised Learning Models for Spiking Neural Network
There has been a significant attempt to derive supervised learning models for training Spiking Neural Networks (SNN), which is the third and most recent generation of Artificial Ne...
Probing the existence of a new charged vector boson decaying into heavy neutral leptons using ultra-peripheral heavy ion collisions at ATLAS
Probing the existence of a new charged vector boson decaying into heavy neutral leptons using ultra-peripheral heavy ion collisions at ATLAS
Abstract
In this paper we explore the potential of Ultra-peripheral Collisions at the LHC to investigate new physics, focusing on the product...
Unsupervised STDP-based Feature Learning for Video Analysis with Spiking Neural Networks
Unsupervised STDP-based Feature Learning for Video Analysis with Spiking Neural Networks
Apprentissage non supervisé basé sur le STDP pour l’analyse vidéo avec des réseaux neuronaux impulsionnels
La reconnaissance des actions humaines (HAR) est une tâch...
Λ and Λ¯ Freeze-Out Distributions and Global Polarizations in Au+Au Collisions
Λ and Λ¯ Freeze-Out Distributions and Global Polarizations in Au+Au Collisions
The gold–gold collisions at sNN=7.7 and 11.5 GeV are simulated within the PHSD transport model. In each collision event, the spectator nucleons are separated and the fluidization p...
Study of J/ψ and D0 production in √sNN = 69 GeV PbNe collisions with the LHCb experiment
Study of J/ψ and D0 production in √sNN = 69 GeV PbNe collisions with the LHCb experiment
Étude de la production des J/ψ et D0 dans les collisions PbNe à √sNN = 69 GeV avec l'expérience LHCb
À la fin de l'année 2015, la collaboration LHCb a enregistré le...
Transport properties of the strongly-interacting Quark-Gluon plasma
Transport properties of the strongly-interacting Quark-Gluon plasma
Ziel dieser Dissertation ist es, die Gleichgewichts- und Nichtgleichgewichts-Eigenschaften des stark wechselwirkenden QGP-Mediums nahe dem Phasenübergang unter extremen Bedingungen...

