| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Dorigo, T. et al; Ramos, A.; Ruiz de Austri, R. |
Toward the end-to-end optimization of particle physics instruments with differentiable programming |
2023 |
Reviews in Physics |
10 |
100085 - pp |
| Ferrer-Sanchez, A.; Martin-Guerrero, J.; Ruiz de Austri, R.; Torres-Forne, A.; Font, J.A. |
Gradient-annihilated PINNs for solving Riemann problems: Application to relativistic hydrodynamics |
2024 |
Computer Methods in Applied Mechanics and Engineering |
424 |
116906 - 18pp |
| Roszkowski, L.; Ruiz de Austri, R.; Trotta, R. |
Efficient reconstruction of constrained MSSM parameters from LHC data: A case study |
2010 |
Physical Review D |
82 |
055003 - 12pp |
| Bertone, G.; Cerdeño, D.G.; Fornasa, M.; Ruiz de Austri, R.; Trotta, R. |
Identification of dark matter particles with LHC and direct detection data |
2010 |
Physical Review D |
82 |
055008 - 7pp |
| Cabrera, M.E.; Casas, J.A.; Ruiz de Austri, R. |
MSSM forecast for the LHC |
2010 |
Journal of High Energy Physics |
05 |
043 - 48pp |
