February 27, 2023 to March 3, 2023
Europe/Moscow timezone

Bayesian Inference for analysis of EoS models based on multimessenger M-R data

Mar 2, 2023, 5:10 PM
20m
Blokhintsev Auditorium, 4th floor

Blokhintsev Auditorium, 4th floor

BLTP, JINR, Dubna

Speaker

Dr Alexander Ayriyan (JINR & AANL & Dubna State University)

Description

Bayesian Inference is a powerful statistical tool for analysis in case of rare and uncertainty data, which is applied for analysis of EoS models based on multimessenger M-R data. The aim of this analysis is to bring the quantitative measure for different physical models of stellar matter. One of the most common approaches to the implementation of Bayesian analysis is the study of the physical parameters of realistic models of the equation of state.

Primary author

Dr Alexander Ayriyan (JINR & AANL & Dubna State University)

Presentation materials