1.1k citations · 2.7k across the 41 of their papers we have counts for
41 papers
Machine Can Automatically Discover Parametric Functions to Model HEP Data
Ho Fung Tsoi, Dylan Rankin, Cecile Caillol +5
In HEP data analyses, finding an adequate function to model binned data has largely relied on a manual process: guess a functional form by intuition, fit, examine, then repeat unti…
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…
SymbolFit: Automatic Parametric Modeling with Symbolic Regression
Ho Fung Tsoi, Dylan Rankin, Cecile Caillol +6
We introduce SymbolFit, a framework that automates parametric modeling by using symbolic regression to perform a machine-search for functions that fit the data while simultaneously…
Electroweak results in two-photon collisions at the LHC
Cecile Caillol
The LHC is also a high-energy photon collider. The ATLAS and CMS experiments are exploring a wide diphoton energy range with various approaches in heavy-ion and proton collisions t…
Charged Lepton Flavour Violation in Heavy Particle DEcays
Wolfgang Altmannshofer, Cecile Caillol, Mogens Dam +2
Charged lepton flavor violation is an unambiguous signature for New Physics. Here we present a summary of the theoretical and experimental status of the search for charged lepton f…
Search for new physics in top quark production with additional leptons in proton-proton collisions at 13 TeV using effective field theory
CMS Collaboration
Events containing one or more top quarks produced with additional prompt leptons are used to search for new physics within the framework of an effective field theory (EFT). The dat…