9 citations · 9 across the 3 of their papers we have counts for
6 papers
A Phase-Space Inclusive Figure of Merit Based in Optimal Transport for Validating Monte Carlo Reweightings
Rishabh Jain, Lauren Hay, Matt LeBlanc +1
Validating whether the underlying physics of a model has been retained after a full phase-space reweighting poses a unique challenge. Often, validation relies on comparing histogra…
Optimizing Cell-Based Negative Weight Mitigation with Optimal Transport
Lauren Hay, Rishabh Jain, Matt LeBlanc +1
As the accuracy of experimental results in high energy physics (HEP) increases, so does the demand for precision Monte Carlo (MC) simulation. Higher-accuracy event generation at ne…
Learning the Geometry of Collider Events with Metric-Aware Deep Sets
Lauren Hay, Rishabh Jain, Matt LeBlanc +1
Optimal transport gives structured data a geometry, but exact evaluation is costly in large pairwise analyses that exploit relationships among distances. Learned surrogates are fas…
Optimal-Transport-Based Cell Resampling for Negative and Pathological Event Weights
Regan Doherty, Lauren Hay, Rishabh Jain +4
Negative and pathologically large Monte Carlo event weights strain the computing budgets of experiments at the Large Hadron Collider. Cell resampling algorithms locally redistribut…
Dark Sector Showers in the Lund Jet Plane
Timothy Cohen, Jennifer Roloff, Christiane Scherb
We investigate the consequences of models where dark sector quarks could be produced at the LHC, which subsequently undergo a dark parton shower, generating jets of dark hadrons th…
Sensitivity to longitudinal vector boson scattering in semileptonic final states at the HL-LHC
Jennifer Roloff, Viviana Cavaliere, Marc-André Pleier +1
Longitudinal vector boson scattering provides an important probe of electroweak symmetry breaking, bringing sensitivity to physics beyond the Standard Model as well as constraining…