Speaker
Description
Accurate separation of diffuse foreground components in temperature maps is crucial for cosmological and astrophysical studies. We use the Commander code, which employs a Bayesian approach through Gibbs sampling, to perform a new decomposition of low-frequency foregrounds. This analysis builds upon the methodology used in Planck 2015, incorporating 31 maps, enabling a cleaner separation of synchrotron, free-free, and spinning dust emissions. Our main products are a new full-sky synchrotron spectral index map, an improved spinning dust amplitude map at 22.8 GHz based on a lognormal phenomenological model—showing a stronger correlation with the thermal dust map than in previous studies—and a completely new full-sky map at 4.76 GHz, which provides a significantly improved tracing of synchrotron emission. This refined analysis enhances our understanding of foreground emissions and is a valuable resource for future cosmological and galactic research.
