4 citations · 5 across the 3 of their papers we have counts for
3 papers
Computing Transiting Exoplanet Parameters with 1D Convolutional Neural Networks
Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez +3
The transit method allows the detection and characterization of planetary systems by analyzing stellar light curves. Convolutional neural networks appear to offer a viable solution…
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…
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…