Bayesian Analysis of hybrid EoS models with M-R data and phase transition construction mimicking mixed phase

26 Sep 2017, 11:00
Blokhintsev Hall (4rd floor, BLTP) (DUBNA)

Blokhintsev Hall (4rd floor, BLTP)




Mr Alexander Ayriyan (Laboratory of Information Technologies, JINR)


A Bayesian analysis for a new class of realistic models of hybrid equations of state (EoS) with mixed phase is performed. The mixed phase is described by a one parameter simple model. The parameter represents the impact of the mixed phase structure to the pressure. It is demonstrated that the observation of a possible pair of high-mass twin stars would have a sufficient discriminating power to favour hybrid EoS with a strong first-order phase transition over alternative EoS.

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