|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Gammaldi, V.; Zaldivar, B.; Sanchez-Conde, M.A.; Coronado-Blazquez, J. |
A search for dark matter among Fermi-LAT unidentified sources with systematic features in machine learning |
2023 |
Monthly Notices of the Royal Astronomical Society |
520 |
1348-1361 |
|
|
de los Rios, M.; Petac, M.; Zaldivar, B.; Bonaventura, N.R.; Calore, F.; Iocco, F. |
Determining the dark matter distribution in simulated galaxies with deep learning |
2023 |
Monthly Notices of the Royal Astronomical Society |
525 |
6015-6035 |
|
|
Stoppa, F.; Bhattacharyya, S.; Ruiz de Austri, R.; Vreeswijk, P.; Caron, S.; Zaharijas, G.; Bloemen, S.; Principe, G.; Malyshev, D.; Vodeb, V.; Groot, P.J.; Cator, E.; Nelemans, G. |
AutoSourceID-Classifier Star-galaxy classification using a convolutional neural network with spatial information |
2023 |
Astronomy & Astrophysics |
680 |
A109 - 16pp |
|
|
Stoppa, F.; Ruiz de Austri, R.; Vreeswijk, P.; Bhattacharyya, S.; Caron, S.; Bloemen, S.; Zaharijas, G.; Principe, G.; Vodeb, V.; Groot, P.J.; Cator, E.; Nelemans, G. |
AutoSourceID-FeatureExtractor Optical image analysis using a two-step mean variance estimation network for feature estimation and uncertainty characterisation |
2023 |
Astronomy & Astrophysics |
680 |
A108 - 14pp |
|