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A GPU-Accelerated JAX Framework for Robust Parametric Component Separation and Clustering Optimization for CMB Polarization Satellites
Wassim Kabalan, Arianna Rizzieri, Wuhyun Sohn +6
We present a novel, JAX-powered implementation of a parametric component-separation method for CMB polarization data, explicitly designed to handle spatially varying foreground Spe…
Half-wave-plate non idealities propagated to component separated CMB -modes
Ema Tsang King Sang, Ema Tsang-King-Sang, Josquin Errard +5
We assess the impact of non-ideal, continuously rotating half-wave plates (HWPs) on cosmic microwave background (CMB) polarization measurements targeting large angular scale signal…
Parameterizing Noise Covariance in Maximum-Likelihood Component Separation
Goureesankar Sathyanathan, Josquin Errard, Soumen Basak
We introduce a noise-aware extension to the parametric maximum-likelihood framework for component separation by modeling correlated noise as a harmonic-space power law. Thi…
Cleaning Galactic foregrounds with spatially varying spectral dependence from CMB observations with \texttt{fgbuster}
Arianna Rizzieri, Clément Leloup, Josquin Errard +1
In the context of maximum-likelihood parametric component separation for next-generation full-sky CMB polarization experiments, we study the impact of fitting different spectral pa…
The Simons Observatory: Quantifying the impact of beam chromaticity on large-scale B-mode science
Nadia Dachlythra, Kevin Wolz, Susanna Azzoni +17
The Simons Observatory (SO) Small Aperture Telescopes (SATs) will observe the Cosmic Microwave Background (CMB) temperature and polarization at six frequency bands. Within these ba…
The Simons Observatory: Validation of reconstructed power spectra from simulated filtered maps for the Small Aperture Telescope survey
Carlos Hervías-Caimapo, Kevin Wolz, Adrien La Posta +33
We present a transfer function-based method to estimate angular power spectra from filtered maps for cosmic microwave background (CMB) surveys. This is especially relevant for expe…