4 papers
Forecasting synchrotron spectral parameters with QUIJOTE-MFI2 in combination with Planck and WMAP
Ana Almeida, José Alberto Rubiño-MartÃn, Roke Cepeda-Arroita +2
We present a parametric component separation forecast for the QUIJOTE-MFI2 instrument (10-20 GHz), assessing its impact on constraining polarised synchrotron emission at …
Deep Needlet: A CNN based full sky component separation method in Needlet space
Debabrata Adak
One of the key steps in Cosmic Microwave Background (CMB) data analysis is component separation to recover the CMB signal from multi-frequency observations contaminated by foregrou…
Model-independent Reconstruction of UV Luminosity Function and Reionization Epoch
Debabrata Adak, Dhiraj Kumar Hazra, Sourav Mitra +1
We conduct a first comprehensive study of the Luminosity Function (LF) using a non-parametric approach. We use Gaussian Process to fit available luminosity data between redshifts $…
Bayesian inference methodology to characterize the dust emissivity at far-infrared and submillimeter frequencies
Debabrata Adak, Shabbir Shaikh, Srijita Sinha +5
We present a Bayesian inference method to characterise the dust emission properties using the well-known dust-HI correlation in the diffuse interstellar medium at Planck frequencie…