5 citations · 11 across the 5 of their papers we have counts for
5 papers
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…
The Hyper-Kamiokande Experiment -- Snowmass LOI
Kamiokande Collaboration, K. Abe, P. Adrich +387
Hyper-Kamiokande is the next generation underground water Cherenkov detector that builds on the highly successful Super-Kamiokande experiment. The detector which has an 8.4~times l…
Supernova Model Discrimination with Hyper-Kamiokande
Jost Migenda
Supernovae are among the most magnificent events in the observable universe. They produce many of the chemical elements necessary for life to exist and their remnants---neutron sta…
Point Source Detection with Fully-Convolutional Networks: Performance in Realistic Simulations
L. Bonavera, S. L. Suarez Gomez, J. González-Nuevo +5
Point sources (PS) are one of the main contaminants to the recovery of the cosmic microwave background (CMB) signal at small scales, and their detection is important for the next g…