3k citations · 6k across the 34 of their papers we have counts for
34 papers
Matrix Element Regression with Deep Neural Networks -- breaking the CPU barrier
Florian Bury, Christophe Delaere
The Matrix Element Method (MEM) is a powerful method to extract information from measured events at collider experiments. Compared to multivariate techniques built on large sets of…
MoMEMta, a modular toolkit for the Matrix Element Method at the LHC
Sébastien Brochet, Christophe Delaere, Brieuc François +5
The Matrix Element Method has proven to be a powerful method to optimally exploit the information available in detector data. Its widespread use is nevertheless impeded by its comp…
Observation of the decay B+ to psi(2S) phi(1020) K+ in pp collisions at sqrt(s) = 8 TeV
CMS Collaboration
The decay B+ to psi(2S) phi(1020) K+ is observed for the first time using data collected from pp collisions at sqrt(s) = 8 TeV by the CMS experiment at the LHC, corresponding to an…
Impact of low-dose electron irradiation on n+p silicon strip sensors
The Tracker Group of the CMS Collaboration
The response of n+p silicon strip sensors to electrons from a Sr-90 source was measured using a multi-channel read-out system with 25 ns sampling time. The measurements were perfor…
Analytical tools for investigating strong-field QED processes in tightly focused laser fields
A. Di Piazza
The present paper is the natural continuation of the letter [Phys. Rev. Lett. \textbf{113}, 040402 (2014)], where the electron wave functions in the presence of a background electr…
Measurement of the production cross section ratio sigma(chi[b2](1P)) / sigma(chi[b1](1P)) in pp collisions at sqrt(s) = 8 TeV
CMS Collaboration
A measurement of the production cross section ratio sigma(chi[b2](1P)) / sigma( chi[b1](1P)) is presented. The chi[b1](1P) and chi[b2](1P) bottomonium states, promptly produced in…