Speaker
Description
Template-fit approach is often used to separate the Galactic dust emission and the cosmic infrared background (CIB) anisotropies at low HI column density regions with an underlying assumption that the gas and dust are tightly correlated. However, this method fails in regions where additional Galactic emission from the molecular hydrogen, diffuse ionized gas, and dark gas are present. We develop and test a statistical component separation to extract the dust signal from the contaminated Planck 353 GHz observations using the Scattering Transform (ST) statistics. We apply two sub-classes of ST statistics to regions with high and low signal-to-noise ratios, where the dust-HI correlation breaks down, and extract the dust emission from beneath the CIB anisotropies.