Multijet Background Estimation For SUSY Searches And Particle Flow Offline Reconstruction Using the ATLAS Detector At The LHC

This thesis describes the jet smearing method, a data-driven technique for estimating
the multijet background to Supersymmetry (SUSY) searches using the ATLAS detector
at the Large Hadron Collider (LHC).

The final 2011 and 2012 “ATLAS jets, missing transverse energy and zero leptons
analysis” searches for SUSY are also documented. These analyses used the full ATLAS
2011 4.7 fb-1 ps = 7 TeV and 2012 20.3 fb-1 ps = 8 TeV data sets.

Finally, the ATLAS particle flow (PFlow) offline reconstruction algorithm in Z->mumu, ttbar and
Wt events using Monte Carlo simulated data and the ATLAS 2012 ps = 8 TeV data
set is documented.