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This book mainly focuses on the study of photon + 3 jets final state in Proton-Proton Collisions at s = 7TeV, searching for patterns of two (or more) distinct hard scatterings in the same collision, i.e the so-called Double Parton Scattering (DPS). A new method by using Monte Carlo generators was performed and provides higher order corrections to the description of the Single Parton Scattering (SPS) background. Further it is investigated whether additional contributions from DPS can improve the agreement between the measured data and the Monte Carlo predictions. The current theoretical uncertainties related to the SPS background are found to be larger than expectation. At the same time a rich set of DPS-sensitive measurements is reported for possible further interpretation.
List of contents
Introduction.- Experimental Apparatus.- Data and Monte Carlo Simulation.- Event Selection.- Discriminating Observables.- Photon + 3 Jets Events at Detector Level.- Correction and Unfolding.- Systematic Uncertainties.- Results.- Conclusion.
About the author
You-Hao Chang received his master of science in physics from National Taiwan University (NTU) in 2009. He obtained his Ph.D. in physics from NTU in February 2016. His major research project in NTU high energy physics group was minimum bias and underlying event measurements in proton-proton collisions in Compact Muon Solenoid (CMS) experiment. Especially, his major work was to study the double parton scattering in CMS. In the meantime, he was also responsible for managing the NTU Tier-3 grid center.
Summary
This book mainly focuses on the study of photon + 3 jets final state in Proton-Proton Collisions at √s = 7TeV, searching for patterns of two (or more) distinct hard scatterings in the same collision, i.e the so-called Double Parton Scattering (DPS). A new method by using Monte Carlo generators was performed and provides higher order corrections to the description of the Single Parton Scattering (SPS) background. Further it is investigated whether additional contributions from DPS can improve the agreement between the measured data and the Monte Carlo predictions. The current theoretical uncertainties related to the SPS background are found to be larger than expectation. At the same time a rich set of DPS-sensitive measurements is reported for possible further interpretation.
