A JAX-accelerated parametric component separation pipeline with K-means clustering optimization reduces the 68% upper limit on the tensor-to-scalar ratio r by about 30% in LiteBIRD-like simulations compared to a fixed multi-resolution configuration.
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astro-ph.CO 1years
2026 1verdicts
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A GPU-Accelerated JAX Framework for Robust Parametric Component Separation and Clustering Optimization for CMB Polarization Satellites
A JAX-accelerated parametric component separation pipeline with K-means clustering optimization reduces the 68% upper limit on the tensor-to-scalar ratio r by about 30% in LiteBIRD-like simulations compared to a fixed multi-resolution configuration.