611 citations · 3k across the 87 of their papers we have counts for
34 papers · 1 filter
Near-Threshold Dynamics of \c{hi}c1(3872) and T+cc(3875) States via Effective Range Expansion and Monte Carlo Uncertainty Propagation
A. A. Atangana Likéné, A. Franck Rothen, J. M. Ema'a Ema'a +4
We investigate the near-threshold structure of the exotic tetraquark candidates and using the effective-range expansion (ERE) and resonance composit…
Statistical Inference of Scattering Parameters for Exotic Hadronic States in the Spectrum
André Aimé Atangana Likéné, P. Pradyun Hebbar, Alexis Franck Rothen +5
We present a global two-channel Flatté amplitude analysis of the hidden-charm pentaquark candidates observed by the LHCb collaboration in the J/ψp invariant-mass spectrum using the…
Pairton: Iterative Reconstruction of Short-Lived Particles
Andreas Hermansen, Chris Scheulen, Tobias Golling
We present Pairton, an iterative framework for reconstructing short-lived particles in high-energy collision events. By formulating particle reconstruction as a masked prediction p…
Strong CWoLa: Binary Classification Without Background Simulation
Samuel Klein, Matthew Leigh, Stephen Mulligan +1
Supervised deep learning methods have been successful in the field of high energy physics, and the trend within the field is to move away from high level reconstructed variables to…
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches
Ivan Oleksiyuk, Svyatoslav Voloshynovskiy, Tobias Golling
We introduce a new model for conditional and continuous data morphing called TRansport Adversarial Network for Smooth InTerpolation (TRANSIT). We apply it to create a background da…
Enhancing generalization in high energy physics using white-box adversarial attacks
Franck Rothen, Samuel Klein, Matthew Leigh +1
Machine learning is becoming increasingly popular in the context of particle physics. Supervised learning, which uses labeled Monte Carlo (MC) simulations, remains one of the most…