New class of hybrid EoS and Bayesian M - R data analysis

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作者
D. Alvarez-Castillo
A. Ayriyan
S. Benic
D. Blaschke
H. Grigorian
S. Typel
机构
[1] JINR Dubna,Bogoliubov Laboratory of Theoretical Physics
[2] JINR Dubna,Laboratory of Information Technologies
[3] University of Zagreb,Department of Physics
[4] National Research Nuclear University (MEPhI),undefined
[5] GSI Helmholtzzentrum für Schwerionenforschung GmbH,undefined
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Neutron Star; Symmetry Energy; Quark Matter; Compact Star; Hybrid Star;
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摘要
We explore systematically a new class of two-phase equations of state (EoS) for hybrid stars that is characterized by three main features: 1) stiffening of the nuclear EoS at supersaturation densities due to quark exchange effects (Pauli blocking) between hadrons, modelled by an excluded volume correction; 2) stiffening of the quark matter EoS at high densities due to multiquark interactions; and 3) possibility for a strong first-order phase transition with an early onset and large density jump. The third feature results from a Maxwell construction for the possible transition from the nuclear to a quark matter phase and its properties depend on the two parameters used for 1) and 2), respectively. Varying these two parameters, one obtains a class of hybrid EoS that yields solutions of the Tolman-Oppenheimer-Volkoff (TOV) equations for sequences of hadronic and hybrid stars in the mass-radius diagram which cover the full range of patterns according to the Alford-Han-Prakash classification following which a hybrid star branch can be either absent, connected or disconnected with the hadronic one. The latter case often includes a tiny connected branch. The disconnected hybrid star branch, also called “third family”, corresponds to high-mass twin stars characterized by the same gravitational mass but different radii. We perform a Bayesian analysis and demonstrate that the observation of such a pair of high-mass twin stars would have a sufficient discriminating power to favor hybrid EoS with a strong first-order phase transition over alternative EoS.
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