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Elliptic Flow: Transition from out-of-plane to in-plane Emission in Au + Au Collisions

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arxiv nucl-ex/9903010 v1 pith:WOST7M7W submitted 1999-03-17 nucl-ex

E895 collaboration , C. Pinkenburg , et. al This is my paper · ORCID
classification nucl-ex
keywords beamagevellipticflowcomparisonsenergiesenergyexcitation
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We have measured the proton elliptic flow excitation function for the Au + Au system spanning the beam energy range 2 -- 8 AGeV. The excitation function shows a transition from negative to positive elliptic flow at a beam energy, $E_{tr} \sim$ 4 AGeV. Detailed comparisons with calculations from a relativistic Boltzmann-equation are presented. The comparisons suggest a softening of the nuclear equation of state (EOS) from a stiff form (K \sim 380 MeV) at low beam energies (E_{Beam} \le 2 AGeV) to a softer form (K \sim 210 MeV) at higher energies (E_{Beam} \ge $ 4 AGeV) where the calculated baryon density $ \rho \sim 4 \rho_0$.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Untangling the interplay of the Equation-of-State and the Collision Term towards the generation of Directed and Elliptic Flow at intermediate energies

    nucl-th 2024-11 conditional novelty 7.0 of 10

    In UrQMD simulations of Au+Au at SIS18/SIS100 energies, the final midrapidity elliptic flow is generated late by the mean-field potential during the breakup of a matter bridge, not by early squeeze-out or spectator shadowing.

  2. The Highly-Granular Time-of-Flight Neutron Detector for the BM@N experiment

    hep-ex 2024-11 conditional novelty 5.0 of 10

    Simulations show that a new time-of-flight neutron detector with 121 scintillator cells per layer and two layout options can identify and reconstruct neutrons from Bi+Bi collisions at 3A GeV with about 70% purity and ...

  3. Toward a Unified Understanding of the Dense Matter Equation of State

    nucl-th 2025-11 conditional novelty 2.0 of 10

    A review of three Bayesian/computational frameworks for combining heavy-ion and astrophysical constraints on the dense-matter equation of state, plus a proposed unified integration workflow.

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