Cosmological test of σθ as function of scale factor in f (r, t) framework
H Chaudhary, A Kaushik, A Kohli - New Astronomy, 2023 - Elsevier
The paper presents a study of the Bianchi type-I space–time model with perfect fluid in f (R,
T) modified theory of gravity, where R is the Ricci scalar, and T denotes the trace of the …
T) modified theory of gravity, where R is the Ricci scalar, and T denotes the trace of the …
Baryon acoustic oscillation, Hubble parameter, and angular size measurement constraints on the Hubble constant, dark energy dynamics, and spatial curvature
In this paper, we use all available baryon acoustic oscillation, Hubble parameter, and
quasar angular size data to constrain six dark energy cosmological models, both spatially …
quasar angular size data to constrain six dark energy cosmological models, both spatially …
Constraints on dark energy dynamics and spatial curvature from Hubble parameter and baryon acoustic oscillation data
We use all available baryon acoustic oscillation distance measurements and Hubble
parameter data to constrain the cosmological constant Λ, dynamical dark energy, and spatial …
parameter data to constrain the cosmological constant Λ, dynamical dark energy, and spatial …
Observational Constraints on the Tilted Spatially Flat and the Untilted Nonflat ϕCDM Dynamical Dark Energy Inflation Models
We constrain spatially flat tilted and nonflat untilted scalar field (ϕ) dynamical dark energy
inflation (ϕCDM) models by using Planck 2015 cosmic microwave background (CMB) …
inflation (ϕCDM) models by using Planck 2015 cosmic microwave background (CMB) …
What can Machine Learning tell us about the background expansion of the Universe?
R Arjona, S Nesseris - Physical Review D, 2020 - APS
Machine learning (ML) algorithms have revolutionized the way we interpret data in
astronomy, particle physics, biology, and even economics, since they can remove biases …
astronomy, particle physics, biology, and even economics, since they can remove biases …
Observational constraints on interacting Tsallis holographic dark energy model
E Sadri - The European Physical Journal C, 2019 - Springer
In this paper, we investigate a recent proposed model–so called the Tsallis holographic dark
energy (THDE) model with consideration of the Hubble and the event future horizon as IR …
energy (THDE) model with consideration of the Hubble and the event future horizon as IR …
Measuring the Hubble constant and spatial curvature from supernova apparent magnitude, baryon acoustic oscillation, and Hubble parameter data
Cosmic microwave background (CMB) anisotropy (spatial inhomogeneity) data provide the
tightest constraints on the Hubble constant, matter density, spatial curvature, and dark …
tightest constraints on the Hubble constant, matter density, spatial curvature, and dark …
Gaussian process estimation of transition redshift
JF Jesus, R Valentim, AA Escobal… - Journal of Cosmology …, 2020 - iopscience.iop.org
This paper aims to put constraints on the transition redshift zt, which determines the onset of
cosmic acceleration, in cosmological-model independent frameworks. In order to do that, we …
cosmic acceleration, in cosmological-model independent frameworks. In order to do that, we …
A new f (Q) cosmological model with H (z) quadratic expansion
We present a new f (Q) cosmological model capable of reproducing late-time acceleration,
ie f Q= λ 0 λ+ Q n by supporting certain parametrization of the Hubble parameter. By using …
ie f Q= λ 0 λ+ Q n by supporting certain parametrization of the Hubble parameter. By using …
Parametric and nonparametric methods hint dark energy evolution
RC Bernardo, D Grandón, JL Said… - Physics of the Dark …, 2022 - Elsevier
We study dark energy through the viewpoints of parametric and nonparametric analyses of
late-time cosmological data. We consider four Hubble parameter priors reflecting the Hubble …
late-time cosmological data. We consider four Hubble parameter priors reflecting the Hubble …