50 citations · 51 across the 3 of their papers we have counts for
11 papers
A simple guide from Machine Learning outputs to statistical criteria
Charanjit K. Khosa, Veronica Sanz, Michael Soughton
In this paper we propose ways to incorporate Machine Learning training outputs into a study of statistical significance. We describe these methods in supervised classification task…
Higgs boson tagging with the Lund jet plane
Charanjit K. Khosa, Simone Marzani
We construct a procedure to separate boosted Higgs bosons decaying into hadrons, from the background due to strong interactions. We employ the Lund jet plane to obtain a theoretica…
On the impact of the LHC Run2 data on general Composite Higgs scenarios
Charanjit K. Khosa, Veronica Sanz
We study the the impact of Run2 LHC data on general Composite Higgs scenarios, where non-linear effects, mixing with additional scalars and new fermionic degrees of freedom could s…
New developments in SModelS
Gaël Alguero, Jan Heisig, Charanjit K. Khosa +7
SModelS is an automatized tool enabling the fast interpretation of simplified model results from the LHC within any model of new physics respecting a symmetry. In th…
SModelS database update v1.2.3
Charanjit K. Khosa, Sabine Kraml, Andre Lessa +2
We present an update of the SModelS database with simplified model results from 13 ATLAS and 10 CMS searches for supersymmetry at Run 2. This includes 5 ATLAS and 1 CMS analyses fo…
Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2
Waleed Abdallah, Shehu AbdusSalam, Azar Ahmadov +139
We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpret…