Tagging $b$ quarks without tracks using an Artificial Neural Network algorithm
ArXiv 1701.06832 (2017)
Tagging b quarks without tracks using an Artificial Neural Network algorithm
submitted to Journal of Physics G: Nuclear and Particle Physics
Abstract:
Measurement of the bb dijet cross section in pp collisions at √s = 7 TeV with the ATLAS detector
European Physical Journal C Springer 76:12 (2016) 670
Abstract:
The dijet production cross section for jets containing a b-hadron (b-jets) has been measured in proton–proton collisions with a centre-of-mass energy of √s = 7 TeV, using the ATLAS detector at the LHC. The data used correspond to an integrated luminosity of 4.2 fb−1. The cross section is measured for events with two identified b-jets with a transverse momentum pT > 20GeV and a minimum separation in the η–φ plane of ΔR = 0.4. At least one of the jets in the event is required to have pT > 270GeV. The cross section is measured differentially as a function of dijet invariant mass, dijet transverse momentum, boost of the dijet system, and the rapidity difference, azimuthal angle and angular distance between the b-jets. The results are compared to different predictions of leading order and next-to-leading order perturbative quantum chromodynamics matrix elements supplemented with models for parton-showers and hadronization.Study of built-in amplifier performance on HV-CMOS sensor for the ATLAS phase-II strip tracker upgrade
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 831 (2016) 156-160
Charge collection studies in irradiated HV-CMOS particle detectors
Journal of Instrumentation IOP Publishing 11:4 (2016) P04007