| Author |
Title |
Year |
Publication  |
Volume |
Pages |
| Beacham, J. et al; Martinez-Vidal, F. |
Physics beyond colliders at CERN: beyond the Standard Model working group report |
2020 |
Journal of Physics G |
47 |
010501 - 114pp |
| Khosa, C.K.; Mars, L.; Richards, J.; Sanz, V. |
Convolutional neural networks for direct detection of dark matter |
2020 |
Journal of Physics G |
47 |
095201 - 20pp |
| Feng, J.L. et al; Garcia Soto, A.; Hirsch, M. |
The Forward Physics Facility at the High-Luminosity LHC |
2023 |
Journal of Physics G |
50 |
030501 - 410pp |
| Moline, A.; Sanchez-Conde, M.A.; Palomares-Ruiz, S.; Prada, F. |
Characterization of subhalo structural properties and implications for dark matter annihilation signals |
2017 |
Monthly Notices of the Royal Astronomical Society |
466 |
4974-4990 |
| Giare, W.; Di Valentino, E.; Melchiorri, A.; Mena, O. |
New cosmological bounds on hot relics: axions and neutrinos |
2021 |
Monthly Notices of the Royal Astronomical Society |
505 |
2703-2711 |
| Giare, W.; Renzi, F.; Melchiorri, A.; Mena, O.; Di Valentino, E. |
Cosmological forecasts on thermal axions, relic neutrinos, and light elements |
2022 |
Monthly Notices of the Royal Astronomical Society |
511 |
1373-1382 |
| 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 |
| Lesgourgues, J.; Pastor, S. |
Neutrino cosmology and Planck |
2014 |
New Journal of Physics |
16 |
065002 - 24pp |
| Lattanzi, M.; Lineros, R.A.; Taoso, M. |
Connecting neutrino physics with dark matter |
2014 |
New Journal of Physics |
16 |
125012 - 19pp |
