5 papers
Do low-redshift observations open the doors to an open universe?
Deng Wang, Olga Mena, Salvatore Capozziello +1
The detection of a significant deviation from a zero curvature would have profound consequences for inflationary theories and fundamental physics. Relative to high-redshift Planck'…
Cosmology-informed Neural Networks to infer dark energy equation-of-state
Anshul Verma, Shashwat Sourav, Pavan K. Aluri +1
We present a framework that combines physics-informed neural networks (PINNs) with Markov Chain Monte Carlo (MCMC) inference to constrain dynamical dark energy models using the Pan…
Cosmographic constraints on a Gödel-type rotating universe
Anshul Verma, Pavan K. Aluri, David F. Mota +1
We investigate the possibility of global cosmic rotation using a Gödel-type rotating cosmological model, constrained through a cosmographic analysis of Type Ia supernovae (SNIa) f…
An emulation-based model for the projected correlation function
Vetle A. Vikenes, Cheng-Zong Ruan, David F. Mota
Data from the ongoing \textit{Euclid} survey will map out billions of galaxies in the Universe, covering more than a third of the sky. This data will provide a wealth of informatio…
Generic Predictions for Primordial Perturbations and their implications
Mohit K. Sharma, M. Sami, David F. Mota
We introduce a novel framework for studying small-scale primordial perturbations and their cosmological implications. The framework uses a deep reinforcement learning to generate s…