59 citations · 423 across the 40 of their papers we have counts for
9 papers · 1 filter
Machine Learning Cosmic Expansion History
Deng Wang, Wei Zhang
We use the machine learning techniques, for the first time, to study the background evolution of the universe in light of 30 cosmic chronometers. From 7 machine learning algorithms…
Finslerian Universe May Reconcile Tensions between High and Low Redshift Probes
Deng Wang, Xin-He Meng
To reconcile the current tensions between high and low redshift observations, we perform the first constraints on the Finslerian cosmological models including the effective dark ma…
Exploring the expansion dynamics of the universe from galaxy cluster surveys
Deng Wang, Xin-He Meng
To understand the expansion dynamics of the universe from galaxy cluster scales, using the angular diameter distance (ADD) data from two different galaxy cluster surveys, we constr…
No evidence for dynamical dark energy in two models
Deng Wang, Xin-He Meng
To investigate whether the dark energy evolves over time, we propose two null tests and constrain them using the data combination of cosmic microwave background radiation, baryonic…
Improved constraints on the dark energy equation of state using Gaussian processes
Deng Wang, Xin-He Meng
We perform a comprehensive study of the dark energy equation of state (EoS) utilizing the model-independent Gaussian processes (GP). Using a combination of the Union 2.1 data set,…
Cosmological forecasts from current observations of LIGO
Deng Wang, Xin-He Meng
We use the simulated gravitational-wave data to explore the evolution of the universe in light of current observations of the Laser Interferometer Gravitational-Wave Observatory (L…