High redshift observations, such as the 21cm signal, luminosity functions, etc., carries immense potential to probe the formation and properties of the first galaxies, and beyond $\Lambda \mathrm{CDM}$ Cosmology. However, a complete statistical analysis of such observation is limited by the time consuming nature of simulators. Using machine learning based emulators we can overcome this...
The ability to compress observational data and accurately estimate physical parameters relies heavily on informative summary statistics. In this paper, we introduce the use of mutual information (MI) as a means of evaluating the quality of summary statistics in inference tasks. MI can assess the sufficiency of summaries, and provide a quantitative basis for comparison. We propose to estimate...
The advent of large astronomical surveys, such as Euclid, will offer unprecedented insights into the statistical properties of galaxies. However, the large amounts of data that will be generated by these surveys call for the application of machine learning methods. For this purpose, we trained the YOLOv5 algorithm to accurately detect spiral, edge-on galaxies in astronomical images and the...
Understanding the interstellar medium (ISM) chemistry is pivotal for the study of galaxy formation and evolution. Traditional computational models rely on costly ordinary differential equation (ODE) solvers to simulate complex photo-chemical processes. This study introduces a novel approach using DeepONet neural operators to emulate a non-equilibrium chemical network, significantly reducing...
The rise of new spectroscopic surveys, such as the WHT Enhanced Area Velocity Explorer (WEAVE), EUCLID, and the 4-metre Multi-Object Spectroscopic Telescope (4MOST), alongside the ongoing Dark Energy Spectroscopic Instrument (DESI), will significantly increase the volume of observed quasar and galaxy spectra. This surge necessitates the development of automated methods for accurate spectral...
The upcoming large scale surveys like SKA, LOFAR and HERA will soon start probing the Universe in the era of Cosmic Dawn (CD) and Epoch of Reionization (EoR). To understand and interpret the observations from various experiments we need novel data analysis and interpretation techniques, which involve fast simulations of the expected signal, developing statistics for interpreting the signal and...
