S. E. Vahsen

TL;DR: In this paper, the Hidden-Valley scenario is used for exploring the challenges posed by long-lived particles with long decay paths to the trigger and the reconstruction capabilities of the ATLAS apparatus.

Abstract: The inclusive and dijet production cross-sections have been measured for jets containing b-hadrons (b-jets) in proton–proton collisions at a centre-of-mass energy of √ s = 7 TeV, using the ATLAS detector at the LHC. The measurements use data corresponding to an integrated luminosity of 34 pb−1. The b-jets are identified using either a lifetime-based method, where secondary decay vertices of b-hadrons in jets are reconstructed using information from the tracking detectors, or a muon-based method where the presence of a muon is used to identify semileptonic decays of b-hadrons inside jets. The inclusive b-jet cross-section is measured as a function of transverse momentum in the range 20 < pT < 400 GeV and rapidity in the range |y| < 2.1. The bb-dijet cross-section is measured as a function of the dijet invariant mass in the range 110 < mjj < 760 GeV, the azimuthal angle difference between the two jets and the angular variable χ in two dijet mass regions. The results are compared with next-to-leading-order QCD predictions. Good agreement is observed between the measured crosssections and the predictions obtained using POWHEG + Pythia. MC@NLO + Herwig shows good agreement with the measured bb-dijet cross-section. However, it does not reproduce the measured inclusive cross-section well, particularly for central b-jets with large transverse momenta.

TL;DR: In this article, a neural-network based hadronic B-meson tagging method was used to detect the semileptonic baryonic decay B- -> p (p) over bar.

TL;DR: In this article, the authors presented a method to detect the presence of a tumor in the human brain using PhysRevD data, which was created on 2014-08-29, modified on 2017-05-12