Dear Colleagues,
This Topical Collection will bridge both theoretical and mathematical cosmological models with observational evidence. Contributions exploring the validation of cosmological theories using modern observational datasets and advanced analytical techniques are encouraged, and relevant datasets may include BAO, Pantheon, Cosmic Chronometers (CC), CMB, DESI, SDSS, SWIFT, BOSS, JLA, LSST, Fermi, LOFAR, Chandra, XMM-Newton, Union 3.0, GRBs, and related observational resources. We welcome submissions that employ statistical analysis, MCMC methods, Python-based modelling, artificial intelligence, and machine learning approaches. Research may be developed within the frameworks of Einstein’s general relativity, Newtonian gravity, or modified gravity theories.
Prof. Dr. Saibal Ray
Dr. Vinod Kumar Bhardwaj
Dr. Manish Kalra
Collection Editors
Institution: Centre for Cosmology, Astrophysics and Space Science (CCASS), GLA University, Mathura 281406, Utter Pradesh, India
Interests: general relativity; compact stars; symmetries; wormholes; modified theories of gravity; cosmology
Institution: Department of Mathematics, GLA University, Mathura 281406, Utter Pradesh, India
Interests: cosmology; general relativity; astronomy; astrophysics
Institution: Department of Electronics Communication & Engineering, GLA University, Mathura 281406, Utter Pradesh, India
Interests: signal processing; machine learning; time-frequency analysis
