X. Prudent

TL;DR: In this article, a search for the Standard Model Higgs boson in proton-proton collisions with the ATLAS detector at the LHC is presented, which has a significance of 5.9 standard deviations, corresponding to a background fluctuation probability of 1.7×10−9.

TL;DR: The TMVA toolkit as discussed by the authors is a toolkit for multivariate regression of a real-valued target vector and has been extended to multivariate classification of a target vector with the same user interfaces as classification.

TL;DR: TMVA as mentioned in this paper is a toolkit that hosts a large variety of multivariate classification algorithms, ranging from rectangular cut optimization using a genetic algorithm and from one-dimensional likelihood estimators, over linear and nonlinear discriminants and neural networks, to sophisticated more recent classifiers such as a support vector machine, boosted decision trees and rule ensemble fitting.

TL;DR: In this article, the authors used the ATLAS detector to detect dijet asymmetry in the collisions of lead ions at the Large Hadron Collider and found that the transverse energies of dijets in opposite hemispheres become systematically more unbalanced with increasing event centrality, leading to a large number of events which contain highly asymmetric di jets.