4 papers
Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network
Zhijian Luo, Yangyang Li, Xinyu Luo +4
Accurate photometric redshift (photo-) estimation and robust uncertainty quantification are essential for the LSST to achieve its precision cosmology goals. Traditional machine…
Dynamical analysis of the H^2 + H^-2 Dark Energy model considering viscosity and interaction
Guo Chen, Wei Fang, Chao-Jun Feng
In this study, we further developed and investigated the dual parameter phenomenological dark energy model (H^2 + H^-2 dark energy model) derived from Kaniadakis holographic dark e…
Thermodynamics of the Dark Energy model
Guo Chen, Chao-Jun Feng, Wei Fang +1
In this study, we introduced a phenomenological dark energy model model) that incorporates the first-order approximation of Kaniadakis holographic entropy dark energ…
Acceleration of the Universe without the Hubble tension with Kaniadakis holographic dark energy using the Hubble horizon as the IR cut-off
Wei Fang, Guo Chen, Chao-Jun Feng +2
We introduce a holographic dark energy model that incorporates the first-order approximate Kaniadaski entropy, utilizing the Hubble horizon, , as the infrared cutoff. We inves…