collaborators

10 papers

astro-ph.IM2026

Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization

Anshuman Acharya, Michele Bianco, Daniela Breitman +18

When operational, the SKA will generate unprecedented amounts of data and provide exquisite sensitivity for 21 cm tomography of Cosmic Dawn (CD) and the Epoch of Reionization (EoR)…

astro-ph.CO2026

Inferring Cosmology and Astrophysics from the High-redshift 21cm Signal with SKA-Low

Anshuman Acharya, Satadru Bag, Sabrina Berger +29

The Square Kilometre Array's low frequency telescope (SKA-Low) will enable inference of astrophysical and cosmological parameters from the redshifted 21 cm signal, probing the Cosm…

astro-ph.CO2026

Overview of 21cm Experiments at high redshift with SKAO

CD Science Working Group, Gianni Bernardi, Daniela Breitman +81

We provide an overview of the eight SKAO Science Book chapters that motivate the Epoch of Reionisation and Cosmic Dawn experiments with SKA-Low. We describe the individual SKA-Low…

astro-ph.GA2026

POLAR-II: modeling star formation history of galaxies on the 21-cm signal from Epoch of Reionization

Qing-Bo Ma, Raghunath Ghara, Benedetta Ciardi +6

Galaxies may suffer some starburst and quenched periods in their history due to e.g. galaxy mergers and feedback. However, semi-numerical simulations of the Epoch of Reionization (…

astro-ph.CO2025

Exploring the effect of different cosmologies on the Epoch of Reionization 21-cm signal with POLAR

Anshuman Acharya, Qing-bo Ma, Sambit K. Giri +8

A detection of the 21-cm signal power spectrum from the Epoch of Reionization is imminent, thanks to consistent advancements from telescopes such as LOFAR, MWA, and HERA, along wit…

astro-ph.IM2025

Extracting the Epoch of Reionization Signal with 3D U-Net Neural Networks Using Data-driven Systematic Effect Model

Li-Yang Gao, Léon V. E. Koopmans, Florent G. Mertens +11

Neutral hydrogen (HI) serves as a crucial probe for the Cosmic Dawn and the Epoch of Reionization (EoR). Actual observations of the 21-cm signal often encounter challenges such as…