Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
Статья

Analysis with observational constraints in $$ \Lambda $$ Λ -cosmology in f(R, T) gravity

Ritika NagpalDepartment of Mathematics, Netaji Subhas Institute of Technology, Faculty of Technology, University of Delhi, New Delhi, 110078, IndiaS. K. J. PacifCentre for Theoretical Physics, Jamia Millia Islamia, New Delhi, 110025, IndiaJ. K. SinghDepartment of Mathematics, Netaji Subhas Institute of Technology, Faculty of Technology, University of Delhi, New Delhi, 110078, IndiaKazuharu BambaDivision of Human Support System, Faculty of Symbiotic Systems Science, Fukushima University, Fukushima, 960-1296, JapanA. BeeshamDepartment of Mathematical Sciences, University of Zululand, Kwa-Dlangezwa, 3886, South Africa
2018en
ABI

Аннотация

An exact cosmological solution of Einstein’s field equations (EFEs) is derived for a dynamical vacuum energy in f(R, T) gravity for Friedmann–Lemaitre–Robertson–Walker (FLRW) space-time. A parametrization of the Hubble parameter is used to find a deterministic solution of the EFE. The cosmological dynamics of our model is discussed in detail. We have analyzed the time evolution of the physical parameters and obtained their bounds analytically. Moreover, the behavior of these parameters are shown graphically in terms of the redshift ‘z’. Our model is consistent with the formation of structure in the Universe. The role of the f(R, T) coupling constant $$\lambda $$ is discussed in the evolution of the equation of state parameter. The statefinder and Om diagnostic analysis is used to distinguish our model with other dark energy models. The maximum likelihood analysis has been reviewed to obtain the constraints on the Hubble parameter $$H_0$$ and the model parameter n by taking into account the observational Hubble data set H(z), the Union 2.1 compilation data set SNeIa, the Baryon Acoustic Oscillation data BAO, and the joint data set $$H(z) + \mathrm{SNeIa}$$ and $$H(z) + \mathrm{SNeIa} + \mathrm{BAO} $$ . It is demonstrated that the model is in good agreement with various observations.

Перевод пока недоступен

Идентификаторы

Цитирования и источники

Цитирований: 2Использованных источников: 0