David Miller (University of Chicago (US))
The reconstruction of jets and missing transverse energy has proved to be of extreme importance in Run 1 of the LHC, and has great potential to uncover new physics with Run 2 data. ATLAS has implemented and commissioned several new techniques for the analysis and interpretation of hadronic final states at the LHC. These include event-by-event pile-up subtraction algorithms for jets and missing transverse energy, pile-up jet identification techniques and a rich suit of analyses that have allowed reaching uncertainties of the order of 1-3% in the jet and soft missing transverse energy scales and resolutions. The excellent ATLAS detector capabilities, in particular its high resolution longitudinally segmented calorimeter and inner detector, have enabled the development of complex clustering and calibration algorithms for the reconstruction of jets and missing transverse energy and their validation and calibration in data using large datasets collected during 2012. A summary of the most modern jet and missing transverse energy tools and analyses developed in ATLAS, and their calibrations are presented, using extensive Run 1 data and the first studies using Run 2 Monte Carlo simulations and early data.
|Oral or Poster Presentation||Oral|
David Lopez Mateos (Harvard University (US))