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Status of QCD precision predictions for Drell-Yan rapidity distributions
S Alekhin1, S Amoroso2, L Buonocore3
1II. Institut für Theoretische Physik, Universität Hamburg, Luruper Chaussee 149, 22761 Hamburg, Germany.
We computed differential distributions for Drell-Yan processes at the LHC and Tevatron colliders at next-to-next-to-leading order in perturbative QCD. Including linear power corrections resolved code discrepancies for fiducial cuts, improving theoretical predictions.
Area of Science:
- High Energy Physics
- Quantum Chromodynamics
- Collider Physics
Background:
- Drell-Yan processes are fundamental for probing electroweak interactions at particle colliders.
- Accurate theoretical predictions are crucial for interpreting experimental results from the LHC and Tevatron.
- Next-to-next-to-leading order (NNLO) calculations in perturbative QCD are necessary for high precision.
Purpose of the Study:
- To compute differential distributions for Drell-Yan processes at NNLO precision.
- To investigate the impact of fiducial cuts on theoretical predictions and code comparisons.
- To address instabilities in predictions for Z-boson production with symmetric transverse momentum cuts.
Main Methods:
- NNLO perturbative QCD calculations for Drell-Yan processes.
- Inclusion of linear power corrections to account for fiducial cuts.
- Phase-space slicing subtraction schemes.
- All-order resummation of the transverse momentum spectrum.
Main Results:
- Excellent agreement between four different computational codes after including linear power corrections.
- Identification and resolution of instabilities in fixed-order predictions for Z-boson production with symmetric cuts.
- Demonstration of how all-order resummation remedies these instabilities.
Conclusions:
- The inclusion of linear power corrections is essential for consistent theoretical predictions with fiducial cuts.
- All-order resummation provides a stable and accurate method for handling transverse momentum spectra in Z-boson production.
- The study offers guidance for optimizing experimental cut choices in future collider analyses.
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