4 papers
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…
Furax: A Modular JAX Framework for Linear Operators in Astrophysical and Cosmological Data Analysis
Pierre Chanial, Simon Biquard, Wassim Kabalan +10
The Framework for Unified and Robust data Analysis with JAX (Furax) is an open-source Python framework for modeling data acquisition systems and solving inverse problems in astroph…
The Simons Observatory: forecasted constraints on primordial gravitational waves with the expanded array of Small Aperture Telescopes
The Simons Observatory Collaboration, I. Abril-Cabezas, S. Adachi +479
We present updated forecasts for the scientific performance of the degree-scale (0.5 deg FWHM at 93 GHz), deep-field survey to be conducted by the Simons Observatory (SO). By 2027,…
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…