activity
20192024
most citedThe anomalous production of multi-lepton and its impact on the measurement of production at the LHC

23 citations · 46 across the 7 of their papers we have counts for

collaborators

7 papers

hep-ph2024

Trials Factor for Semi-Supervised NN Classifiers in Searches for Narrow Resonances at the LHC

Benjamin Lieberman, Salah-Eddine Dahbi, Andreas Crivellin +4

To mitigate the model dependencies of searches for new narrow resonances at the Large Hadron Collider (LHC), semi-supervised Neural Networks (NNs) can be used. Unlike fully supervi…

cs.CL2023★ 1 cited

COVID-19 South African Vaccine Hesitancy Models Show Boost in Performance Upon Fine-Tuning on M-pox Tweets

Nicholas Perikli, Srimoy Bhattacharya, Blessing Ogbuokiri +8

Very large numbers of M-pox cases have, since the start of May 2022, been reported in non-endemic countries leading many to fear that the M-pox Outbreak would rapidly transition in…

cs.CY2023

Detecting the Presence of COVID-19 Vaccination Hesitancy from South African Twitter Data Using Machine Learning

Nicholas Perikli, Srimoy Bhattacharya, Blessing Ogbuokiri +8

Very few social media studies have been done on South African user-generated content during the COVID-19 pandemic and even fewer using hand-labelling over automated methods. Vaccin…

hep-ph2023★ 9 cited

Growing Excesses of New Scalars at the Electroweak Scale

Srimoy Bhattacharya, Guglielmo Coloretti, Andreas Crivellin +4

We combine searches for scalar resonances at the electroweak scale performed by the Large Hadron Collider experiments ATLAS and CMS where persisted excesses have been observed in r…

hep-ph2022★ 13 cited

Consistency and Interpretation of the LHC (Di-)Di-Jet Excesses

Andreas Crivellin, Claudio Andrea Manzari, Bruce Mellado +1

ATLAS observed a limit for {the cross section of di-jets resonances, which is weaker than expected for a} mass slightly below 1\TeV. In addition, CMS reported hints for th…

hep-ex2021

An investigation of over-training within semi-supervised machine learning models in the search for heavy resonances at the LHC

Benjamin Lieberman, Joshua Choma, Salah-Eddine Dahbi +2

In particle physics, semi-supervised machine learning is an attractive option to reduce model dependencies searches beyond the Standard Model. When utilizing semi-supervised techni…

hep-ph2019★ 23 cited

The anomalous production of multi-lepton and its impact on the measurement of production at the LHC

Yesenia Hernandez, Mukesh Kumar, Alan S. Cornell +7

Anomalies in multi-lepton final states at the Large Hadron Collider (LHC) have been reported in Refs.~\cite{vonBuddenbrock:2017gvy,vonBuddenbrock:2019ajh}. These can be interpreted…