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

Autori
Alvarez-Castillo, David Edwin ; Ayriyan, Alexander ; Benić, Sanjin ; Blaschke, David ; Grigorian, Hovik ; Typel, Stefan

Izvornik
European physical journal A : hadrons and nuclei (1434-6001) 52 (2016); 69-1

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
neutron stars ; phase transition ; quark matter

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Fizika

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