A 3D Attention Nested U-Net trained on synthetic SZ signals injected into Planck maps extracts the thermal SZ effect with accuracy comparable to the NILC method.
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Supervised Extraction of the Thermal Sunyaev$-$Zel'dovich Effect with a Three-Dimensional Convolutional Neural Network
A 3D Attention Nested U-Net trained on synthetic SZ signals injected into Planck maps extracts the thermal SZ effect with accuracy comparable to the NILC method.