Tracking in dense environments and its inefficiency measurement using pixel
arXiv:1610.08709 · doi:10.1088/1748-0221/11/12/C12041
Abstract
We present a measurement of the charged particle reconstruction inefficiency inside of jet cores, using data collected by the ATLAS experiment in 2015 of collisions produced at the LHC, at a center-of-mass energy of 13 TeV. The determination of this inefficiency is important for jet energy scale and mass calibration, as well as multiple other performance studies and analyses. A data driven method is used, where the fraction of lost particle tracks is determined from energy deposition in the pixel detector. The fraction of lost tracks is found to be less than 5%, which is an improvement since the previous study, and agrees well within systematic uncertainties with a Monte Carlo simulation.
Presented at PIXEL 2016 and prepared for submission to JINST
References in corpus (10)
- The anti-k_t jet clustering algorithm
- A Brief Introduction to PYTHIA 8.1
- New Generation of Parton Distributions with Uncertainties from Global QCD Analysis
- New parton distributions for collider physics
- Event generation with SHERPA 1.1
- Herwig++ Physics and Manual
- Parton distributions with LHC data
- Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
- A neural network clustering algorithm for the ATLAS silicon pixel detector
- Polarized DIS in N=4 SYM: Where is spin at strong coupling?