6 papers
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)…
Cosmology with Multi-Wavelength Line Intensity Mapping Synergies in the SKAO Era
Debanjan Sarkar, Suman Majumdar, Chandra Shekhar Murmu +21
Line intensity mapping (LIM) has emerged as a powerful tool for surveying the large-scale structure of the Universe across cosmic time by measuring spatial fluctuations in the cumu…
Cosmology with Intensity Mapping via Statistics Beyond the Power Spectrum in the SKAO Era
Suman Majumdar, Debanjan Sarkar, Leon Noble +38
The cosmological distribution of neutral hydrogen (HI) during the post-reionization era is highly non-Gaussian due to the underlying non-linear structure formation, complex galaxy…
Machine Learning-Driven Analysis of kSZ Maps to Predict CMB Optical Depth
Farshid Farhadi Khouzani, Abinash Kumar Shaw, Paul La Plante +2
Upcoming measurements of the kinetic Sunyaev-Zel'dovich (kSZ) effect, which results from Cosmic Microwave Background (CMB) photons scattering off moving electrons, offer a powerful…
The size and shape dependence of the SDSS galaxy bispectrum
Anindita Nandi, Sukhdeep Singh Gill, Debanjan Sarkar +3
We have measured the spherically averaged bispectrum of the SDSS main galaxy sample, considering a volume-limited data cube with mean galaxy number density $…
From ANN to BNN: Inferring Reionization Parameters using Uncertainty-aware Emulators of 21-cm Summaries
Yashrajsinh Mahida, Sanjay Kumar Yadav, Suman Majumdar +6
Inferring astrophysical parameters from radio interferometric observations of the redshifted 21-cm signal from the Epoch of Reionization (EoR) is a challenging yet crucial task. Th…