19 citations · 46 across the 7 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
hep-ph2021★ 8 cited
Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning
Daniel Alvestad, Nikolai Fomin, Jörn Kersten +2
We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of overlap between the observa…
hep-lat2021★ 18 cited
Stable solvers for real-time Complex Langevin
Daniel Alvestad, Rasmus Larsen, Alexander Rothkopf
This study explores the potential of modern implicit solvers for stochastic partial differential equations in the simulation of real-time complex Langevin dynamics. Not only do the…