Constraining the variable generalized Chaplygin gas model in matter creation cosmology

作     者：Yogesh Bhardwaj C P Singh 

作者机构：Department of Applied MathematicsDelhi Technological UniversityBawana RoadDelhi-110042India 

出 版 物：《Communications in Theoretical Physics》 (理论物理通讯（英文版）)

年 卷 期：2024年第76卷第10期

页      面：119-134页

核心收录：

学科分类：07[理学] 070401[理学-天体物理] 0704[理学-天文学] 

基　　金：Delhi Technological University  DTU 

主　　题：cosmological model matter creation Chaplygin gas model dark energy 

摘      要：We explore the variable generalized Chaplygin gas(VGCG)model in the theory of matter creation cosmology within the framework of a spatially homogeneous and isotropic flat Friedmann—Lemai tre—Robertson—Walker *** creation cosmology is based on reinterpretation of the energy–momentum tensor in Einstein s field *** creation corresponds to an irreversible energy flow from the gravitational field to the created matter *** variable Chaplygin gas(VCG)is also studied as a particular *** use the Markov chain Monte Carlo method to constrain the free parameters of three models,namely,Lambda-Cold-Dark matter(ΛCDM),VGCG and VCG models with and without matter creation from the latest observational data from baryon acoustic oscillations,cosmic chronometer,type Ia supernovae(Pantheon)including gamma-ray bursts,quasars and the local measurement of H_(0) from R21 *** different combinations of dataset provide a fairly tight constraint on the parameters of theΛCDM,VGCG and VCG *** present values of various cosmological parameters are obtained,which are very close to theΛCDM ***,we perform stability analysis,Bayesian evidence analysis and information criteria analysis for these models through studying the sound speed,Bayes factor,and Akaike information criteria(AIC)and Bayesian information criteria(BIC)selection *** values of sound speed for VGCG and VCG models shows that both the models are *** to AIC,it is observed that VGCG and VCG models with matter creation are supported considerably less by current observations,while BIC shows that these models are not favoured by observational data.