6 papers
Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning
Ao Liu, Tonghua Liu, Dejiang Li +5
Gravitational wave lensing, particularly microlensing by compact dark matter (DM), offers a unique avenue to probe the nature of dark matter. However, conventional detection method…
Probing potential redshift-dependent systematics in the Hubble tension: Model-independent constraints from DESI R2
Tonghua Liu, Shuo Cao, Jieci Wang
We present a determination of the Hubble constant () using the latest observational data from multiple cosmological probes, providing an independent geometric calibration of t…
Torsion cosmology in the light of DESI, supernovae and CMB observational constraints
Tonghua Liu, Xiaolei Li, Tengpeng Xu +2
In this work, we investigate a torsion-based cosmological model within the Einstei-Cartan framework, constrained by the latest combined datasets including DESI DR2 BAO, PantheonPlu…
Dynamical Dark Energy in the Crosshairs: A Joint Analysis with DESI, Pantheon plus, and TDCOSMO Constraints
Tonghua Liu, Xiaolei Li, Jieci Wang
In this work, we perform a comprehensive joint analysis of three representative dark energy models - , the Chevallier-Polarski-Linder (CPL) parametrization, and the Gene…
Advancing Cosmological Parameter Estimation and Hubble Parameter Reconstruction with Long Short-Term Memory and Efficient-Kolmogorov-Arnold Networks
Jiaxing Cui, Marek Biesiada, Ao Liu +3
In this work, we propose a novel approach for cosmological parameter estimation and Hubble parameter reconstruction using Long Short-Term Memory (LSTM) networks and Efficient-Kolmo…
Determination of cosmic curvature independent of the sound horizon and using BOSS/eBOSS and DESI DR1 BAO observations
Tonghua Liu, Shengjia Wang, Hengyu Wu +1
We present an improved model-independent method for determining the cosmic curvature using the observations of Baryon Acoustic Oscillations (BAOs) and the Hubble parameter. The pur…