D0 Top Quark Results and their Dependence on Successful Grid Computing
Daniel Wicke (Fermilab)

TL;DR
This paper discusses how the D0 collaboration used Grid computing to enhance data processing and simulation for top quark measurements, leading to more precise results and increased data availability.
Contribution
It introduces the integration of Grid computing into top quark data analysis, significantly improving data processing and simulation capabilities.
Findings
Tripled data availability with high-quality reconstruction
Enhanced simulation and background modeling
Improved precision in top quark measurements
Abstract
The heaviest known Fermion particle -- the top quark -- was discovered at Fermilab in the first run of the Tevatron in 1995. However, besides its mere existence one needs to study its properties precisely in order to verify or falsify the predictions of the Standard Model. With the top quark's extremely high mass and short lifetime such measurements probe yet unexplored regions of the theory and bring us closer to solving the open fundamental questions of our universe of elementary particles such as why three families of quarks and leptons exist and why their masses differ so dramatically. To perform these measurements hundreds of millions of recorded proton-antiproton collisions must be reconstructed and filtered to extract the few top quarks produced. Simulated background and signal events with full detector response need to be generated and reconstructed to validate and understand…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Computational Physics and Python Applications · Distributed and Parallel Computing Systems
