Parton model versus color dipole formulation of the Drell-Yan process
J. Raufeisen, J. -C. Peng, G. C. Nayak
Abstract
In the kinematical region where the center of mass energy is much larger than all other scales, the Drell-Yan process can be formulated in the target rest frame in terms of the same color dipole cross section as low Bjorken-x deep inelastic scattering. Since the mechanisms for heavy dilepton production appear very different in the dipole approach and in the conventional parton model, one may wonder whether these two formulations really represent the same physics. We perform a comparison of numerical calculations in the color dipole approach with calculations in the next-to-leading order parton model. For proton-proton scattering, the results are very similar at low x2 from fixed target to RHIC energies, confirming the close connection between these two very different approaches. We also compare the transverse momentum distributions of Drell-Yan dileptons predicted in both formulations. The range of applicability of the dipole formulation and the impact of future Drell-Yan data from RHIC for determining the color dipole cross section are discussed. A detailed derivation of the dipole formulation of the Drell-Yan process is also included.
Create a lesson
Related papers
Electromagnetic form factors of vector mesons in Einstein-dilaton holographic QCD
Alfonso Ballon-Bayona, Tobias Frederico, Luis A. H. Mamani et al.
An invertible map between 3D Breit-frame mechanical distributions and 2D infinite-momentum-frame mechanical densities in spin-1 hadrons
Kemal Tezgin
Adiabatic hydrodynamization with transverse spatial gradients in boost-invariant plasmas
Uri Sharell, Jasmine Brewer, Weiyao Ke
Line shapes of Ω(2012) production in the Ξ K and Ξπ K decay channels
Natsumi Ikeno, Eulogio Oset
A quantum representation of π fragmentation functions through variational quantum circuits
David F. Rentería-Estrada, Roger J. Hernández-Pinto, Germán Rodrigo et al.
Particle Physics Driven by Quantum Technology - Quantum Simulations and Quantum Sensing
Itay M. Bloch, Marcela Carena, Yifan Chen et al.