27 citations · 40 across the 5 of their papers we have counts for
5 papers
Reinterpretation and preservation of data and analyses in HEP
Jon Butterworth, Sabine Kraml, Harrison Prosper +145
Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes…
SModelS v3: Going Beyond Z2 Topologies
Mohammad Mahdi Altakach, Sabine Kraml, Andre Lessa +5
SModelS is a public tool for fast reinterpretation of LHC searches for new physics based on a large database of simplified model results. While previous versions were limited to mo…
Trained Random Forests Completely Reveal your Dataset
Julien Ferry, Ricardo Fukasawa, Timothée Pascal +1
We introduce an optimization-based reconstruction attack capable of completely or near-completely reconstructing a dataset utilized for training a random forest. Notably, our appro…
Global LHC constraints on electroweak-inos with SModelS v2.3
Mohammad Mahdi Altakach, Sabine Kraml, Andre Lessa +4
Electroweak-inos, superpartners of the electroweak gauge and Higgs bosons, play a special role in supersymmetric theories. Their intricate mixing into chargino and neutralino mass…
SModelS v2.3: enabling global likelihood analyses
Mohammad Mahdi Altakach, Sabine Kraml, Andre Lessa +3
We present version 2.3 of SModelS, a public tool for the fast reinterpretation of LHC searches for new physics on the basis of simplified-model results. The main new features are a…