most citedConstraining the polarisation flux density and angle of point sources by training a convolutional neural network

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

astro-ph.CO2023★ 1 cited

Constraining the polarisation flux density and angle of point sources by training a convolutional neural network

J. M. Casas, L. Bonavera, J. González-Nuevo +7

Constraining the polarisation properties of extragalactic point sources is a relevant task not only because they are one of the main contaminants for primordial cosmic microwave ba…

astro-ph.IM2021

Multi-frequency point source detection with fully convolutional networks: Performance in realistic microwave sky simulations

J. M. Casas, J. González-Nuevo, L. Bonavera +8

Point Source (PS) detection is an important issue for future Cosmic Microwave Background (CMB) experiments since they are one of the main contaminants to the recovery of CMB signal…