5 papers
From DES to KiDS: Domain adaptation for cross-survey detection of low-surface-brightness galaxies
Hareesh Thuruthipilly, Krzysztof Lisiecki, Junais +19
Low-surface-brightness galaxies (LSBGs) are vital for understanding galaxy formation, but their diffuse nature makes them challenging to detect. Upcoming large-scale surveys are ex…
Multi-Model Framework for Reconstructing Gamma-Ray Burst Light Curves
A. Kaushal, A. Manchanda, M. G. Dainotti +13
Mitigating data gaps in Gamma-ray bursts (GRBs) light curves (LCs) is crucial for cosmological research, enhancing the precision of parameters, assuming perfect satellite condition…
Gamma-Ray Burst Light Curve Reconstruction: A Comparative Machine and Deep Learning Analysis
A. Manchanda, A. Kaushal, M. G. Dainotti +14
Gamma-Ray Bursts (GRBs), observed at high-z, are probes of the evolution of the Universe and can be used as cosmological tools. Thus, we need correlations with small dispersion amo…
Redshift Classification of Optical Gamma-Ray Bursts using Supervised Learning
Milind Sarkar, Maria Giovanna Dainotti, Nikita S. Khatiya +9
Gamma-ray bursts (GRBs) are among the most luminous explosions in the Universe and serve as powerful probes of the early cosmos. However, the rapid fading of their afterglows and t…
The Machine Learning to reconstruct GRB lightcurves
Maria Giovanna Dainotti, Biagio De Simone, Aditya Narendra +1
The current knowledge in cosmology deals with open problems whose solutions are still under investigation. The main issue is the so-called Hubble constant () tension, namely,…