Description
The knowledge of the proton structure, embedded in the parton distribution functions (PDFs) is of fundamental importance to make predictions for proton-proton collisions at the Large Hadron Collider. PDFs cannot be calculated through perturbative methods, but are determined through fits to a variety of experimental data.
Aim of this project will be to investigate the sensitivity to PDFs of two recent measurements of Drell-Yan cross-sections performed by the CMS Collaboration at 13 TeV of center-of-mass energy. The student will implement the measurement data within the xFitter framework together with their systematic uncertainties and produce theoretical predictions at next-to-next-to-leading order in the strong coupling. The agreement of between the data and predictions, including the PDF uncertainties, will then be quantified with a PDF profiling procedure using xFitter.
Special Qualifications:
- basic programming skills (C++, python)
Field | B1: Particle physics analysis (software-oriented) |
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DESY Place | Hamburg |
DESY Division | FH |
DESY Group | CMS |