79 citations · 514 across the 32 of their papers we have counts for
6 papers · 1 filter
Recasting LHC searches for long-lived particles with MadAnalysis 5
Jack Y. Araz, Benjamin Fuks, Mark D. Goodsell +1
We present an extension of the simplified fast detector simulator of MadAnalysis 5 - the SFS framework - with methods making it suitable for the treatment of long-lived particles o…
Cross-fertilising extra gauge boson searches at the LHC
Jack Y. Araz, Mariana Frank, Benjamin Fuks +2
For the purpose of cross-fertilising currently separate experimental approaches, we connect results of LHC analyses attempting to access the properties of additional and…
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
Jack Y. Araz, Michael Spannowsky
Tensor Networks are non-trivial representations of high-dimensional tensors, originally designed to describe quantum many-body systems. We show that Tensor Networks are ideal vehic…
Elvet -- a neural network-based differential equation and variational problem solver
Jack Y. Araz, Juan Carlos Criado, Michael Spannowsky
We present Elvet, a Python package for solving differential equations and variational problems using machine learning methods. Elvet can deal with any system of coupled ordinary or…
Combine and Conquer: Event Reconstruction with Bayesian Ensemble Neural Networks
Jack Y. Araz, Michael Spannowsky
Ensemble learning is a technique where multiple component learners are combined through a protocol. We propose an Ensemble Neural Network (ENN) that uses the combined latent-featur…
Proceedings of the second MadAnalysis 5 workshop on LHC recasting in Korea
Benjamin Fuks, Pyungwon Ko, Seung J. Lee +32
We document the activities performed during the second MadAnalysis 5 workshop on LHC recasting, that was organised in KIAS (Seoul, Korea) on February 12-20, 2020. We detail the imp…