| |
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Caron, S.; Casas, J.A.; Quilis, J.; Ruiz de Austri, R. |
Anomaly-free dark matter with harmless direct detection constraints |
2018 |
Journal of High Energy Physics |
12 |
126 - 24pp |
|
|
|
van Beekveld, M.; Caron, S.; Ruiz de Austri, R. |
The current status of fine-tuning in supersymmetry |
2020 |
Journal of High Energy Physics |
01 |
147 - 41pp |
|
|
|
Aguilar-Saavedra, J.A.; Casas, J.A.; Quilis, J.; Ruiz de Austri, R. |
Multilepton dark matter signals |
2020 |
Journal of High Energy Physics |
04 |
069 - 24pp |
|
|
|
Ellis, J.; Gomez, M.E.; Lola, S.; Ruiz de Austri, R.; Shafi, Q. |
Confronting grand unification with lepton flavour violation, dark matter and LHC data |
2020 |
Journal of High Energy Physics |
09 |
197 - 29pp |
|
|
|
van Beekveld, M.; Caron, S.; Hendriks, L.; Jackson, P.; Leinweber, A.; Otten, S.; Patrick, R.; Ruiz de Austri, R.; Santoni, M.; White, M. |
Combining outlier analysis algorithms to identify new physics at the LHC |
2021 |
Journal of High Energy Physics |
09 |
024 - 33pp |
|
|
|
Balazs, C. et al; Mamuzic, J.; Ruiz de Austri, R. |
A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications |
2021 |
Journal of High Energy Physics |
05 |
108 - 46pp |
|
|
|
Caron, S.; Ruiz de Austri, R.; Zhang, Z.Y. |
Mixture-of-Theories training: can we find new physics and anomalies better by mixing physical theories? |
2023 |
Journal of High Energy Physics |
03 |
004 - 37pp |
|
|
|
Jueid, A.; Kip, J.; Ruiz de Austri, R.; Skands, P. |
The Strong Force meets the Dark Sector: a robust estimate of QCD uncertainties for anti-matter dark matter searches |
2024 |
Journal of High Energy Physics |
02 |
119 - 48pp |
|
|
|
Cabrera, M.E.; Casas, J.A.; Ruiz de Austri, R. |
MSSM forecast for the LHC |
2010 |
Journal of High Energy Physics |
05 |
043 - 48pp |
|
|
|
Bridges, M.; Cranmer, K.; Feroz, F.; Hobson, M.; Ruiz de Austri, R.; Trotta, R. |
A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques |
2011 |
Journal of High Energy Physics |
03 |
012 - 23pp |
|
