Tuning of PYTHIA6.4 to Minimum Bias and Underlying Event Data - Firdous, Nameeqa
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QCD describes hadronic interactions quite well at large momentum transfers, also known as hard interactions. However high energy hadron-hadron collisions are dominated by soft partonic collisions. Different phenomenological models are implemented in several Monte Carlo event generators such as PYTHIA, PHOJET and HERWIG etc., which attempt to simulate these interactions. These MC event generators have free parameters which need to be tuned to improve the agreement with the data. PYTHIA6.4 Monte Carlo event generator is considered for optimization in this book using nine different Parton Density Functions.…mehr

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Produktbeschreibung
QCD describes hadronic interactions quite well at large momentum transfers, also known as hard interactions. However high energy hadron-hadron collisions are dominated by soft partonic collisions. Different phenomenological models are implemented in several Monte Carlo event generators such as PYTHIA, PHOJET and HERWIG etc., which attempt to simulate these interactions. These MC event generators have free parameters which need to be tuned to improve the agreement with the data. PYTHIA6.4 Monte Carlo event generator is considered for optimization in this book using nine different Parton Density Functions.
Autorenporträt
Dr. Nameeqa Firdous received her doctorate in Experimental High Energy Physics from University of Innsbruck, Austria. She is interested in the study of parameters related to numerical simulation of physical models. Currently she is working as an asstt. professor at the Gujranwala Institute of Future Technologies (GIFT) University, Pakistan.