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astro-ph.IM2025

Recovering unbiased CMB polarization maps using modern ground-based experiments with minimal assumptions about atmospheric emission

Simon Biquard, Josquin Errard, Radek Stompor

We present a study of unbiased reconstruction of cosmic microwave background (CMB) polarization maps from data collected by modern ground-based observatories. Atmospheric emission…

astro-ph.CO2025

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. Th…

astro-ph.CO2025

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…

astro-ph.CO2025

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…

astro-ph.IM2025

PROTOCALC, A W-band polarized calibrator for CMB Telescopes: application to Simons Observatory and CLASS

Gabriele Coppi, Nadia Dachlythra, Federico Nati +11

Current- and next-generation Cosmic Microwave Background (CMB) experiments will measure polarization anisotropies with unprecedented sensitivities. The need for high precision in t…

astro-ph.CO2025

Validating a main beam treatment of parametric, pixel-based component separation in the context of CMB observations

Arianna Rizzieri, Josquin Errard, Radek Stompor

We implement a simple, main beam correction in the maximum-likelihood, parametric component separation approach, which allows on accounting for different beamwidths of input maps a…