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Constraining the nuclear matter equation of state around twice saturation density

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arxiv 1501.05246 v1 pith:4VTWZ4EP submitted 2015-01-21 nucl-ex nucl-th

Constraining the nuclear matter equation of state around twice saturation density

classification nucl-ex nucl-th
keywords nuclearmatterellipticequationflowobservablestatearound
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Using FOPI data on elliptic flow in Au+Au collisions between 0.4 and 1.5A GeV we extract constraints for the equation of state (EOS) of compressed symmetric nuclear matter using the transport code IQMD by introducing an observable describing the evolution of the size of the elliptic flow as a function of rapidity. This observable is sensitive to the nuclear EOS and a robust tool to constrain the compressibility of nuclear matter up to 2 $\rho_0$.

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Cited by 3 Pith papers

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

  1. Nuclear matter and proton parton distributions in a light-front Hamiltonian framework

    hep-ph 2026-05 unverdicted novelty 6.0

    A light-front Hamiltonian formulation of nuclear matter in the quark-meson coupling model produces density-dependent nucleon wave functions and evolved parton distributions that match empirical saturation constraints.

  2. Relativistic Mean Field Approach with Chiral Symmetry Breaking and Quark Confinement in the light of Astrophysical Observations

    nucl-th 2026-07 conditional novelty 5.0

    RMF-CC models with ωρ coupling better match multi-messenger NS data and LQCD/NEP constraints than the baseline, yet standard RMF remains preferred without core phase transitions, requiring high Ksat ~300 MeV.

  3. Machine learning the impact parameter in heavy-ion collisions at $\sqrt{s_{\rm NN}}$ = 4 and 11 GeV: a cross-check study with UrQMD, AMPT, and JAM

    nucl-th 2026-07 conditional novelty 4.0

    A LightGBM model trained on pion observables from one transport model predicts impact parameters in Au+Au collisions at 4 and 11 GeV with 0.2-0.4 fm error, generalizing to data from other models where polynomial fits fail.