5 papers
Effect of Primordial Black Holes on the global 21-cm signal
Atrideb Chatterjee
The 21-cm global signal, a treasure trove of information about the nature of the first luminous sources of the Universe, has traditionally been modelled assuming that these early s…
Learning Cosmology from Nearest Neighbour Statistics
Atrideb Chatterjee, Arka Banerjee, Francisco Villaescusa-Navarro +1
Extracting cosmological parameters from galaxy/halo catalogues with sub-percent level accuracy is an important aspect of modern cosmology, especially in view of ongoing and upcomin…
Impact of Primordial Black Hole population on 21 cm observables at high redshift
Atrideb Chatterjee, Barun Maity, Koushiki
The 21-centimetre (21-cm) signal is one of the most promising probes of the high-redshift Universe. It has typically been modelled without accounting for the effects of active gala…
Exploring the BSM parameter space with Neural Network aided Simulation-Based Inference
Atrideb Chatterjee, Arghya Choudhury, Sourav Mitra +2
Some of the issues that make sampling parameter spaces of various beyond the Standard Model (BSM) scenarios computationally expensive are the high dimensionality of the input param…
Cosmology from Point Clouds with Dark Matter Halos from the Quijote Simulations
Atrideb Chatterjee, Francisco Villaescusa-Navarro
We train a novel deep learning architecture to perform likelihood-free inference on the value of the cosmological parameters from halo catalogs of the Quijote N-body simulations. O…