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Published on: November 15, 2013
The subtraction method: electroweak corrections and power suppressed contributions.
Luca Buonocore1,2, Massimiliano Grazzini2, Francesco Tramontano1
11Dipartimento di Fisica, Università di Napoli Federico II and INFN, Sezione di Napoli, 80126 Naples, Italy.
This study applies the $$ subtraction formalism to electroweak corrections in Drell-Yan processes. It reveals that final-state radiation introduces linear power corrections, potentially impacting the $$ subtraction method's efficiency.
Area of Science:
- High Energy Physics
- Quantum Chromodynamics
- Electroweak Interactions
Background:
- Transverse-momentum resummation is crucial for heavy-quark hadroproduction.
- Electroweak corrections are essential for precise Drell-Yan cross-section calculations.
- The $$ subtraction formalism offers a method to handleSoft gluon emissions.
Purpose of the Study:
- To apply the $$ subtraction formalism to electroweak corrections in the Drell-Yan process.
- To investigate power-suppressed contributions in the $$ subtraction formula.
- To analyze the impact of initial- and final-state radiation on the Drell-Yan cross section.
Main Methods:
- Application of the $$ subtraction formalism.
- Analytical computation of leading power corrections from initial- and final-state radiation.
- Analysis of the parameter $$ (transverse momentum over invariant mass).
Main Results:
- Electroweak corrections to the Drell-Yan mechanism were computed using the $$ subtraction formalism.
- Initial-state radiation yields quadratic power corrections in $$, consistent with prior literature.
- Final-state radiation introduces linear power corrections in $$, potentially challenging the $$ subtraction method.
Conclusions:
- The study provides the first application of the $$ subtraction formalism to electroweak corrections in the Drell-Yan process.
- Linear power corrections from final-state radiation require careful consideration for the efficiency of the $$ subtraction procedure.
- The calculation's extension to differential distributions is discussed, paving the way for more refined theoretical predictions.
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