[Paper Review] Multiple Parton Interactions, inclusive and exclusive cross sections, sum rules
This paper develops a simplified model of Multiple Parton Interactions (MPIs) in high-energy hadronic collisions, showing that inclusive cross sections correspond to factorial moments of the interaction multiplicity distribution, while exclusive cross sectionsβlinked via sum rulesβenable experimental testing of MPI dynamics. The key contribution is a formal framework linking inclusive and exclusive MPI cross sections through sum rules, allowing extraction of non-perturbative parameters like the effective cross section π_eff.
In a simplified model of Multiple Parton Interactions the inclusive cross sections, of processes with large momentum transfer exchange, acquire the statistical meaning of factorial moments of the distribution in multiplicity of interactions, while more exclusive cross sections, which can provide complementary information on the interaction dynamics, become experimentally viable. Inclusive and exclusive cross sections are linked by sum rules, which can be tested experimentally.
Motivation & Objective
- To establish a theoretical framework for Multiple Parton Interactions (MPIs) in high-energy hadronic collisions.
- To demonstrate that inclusive MPI cross sections correspond to factorial moments of the interaction multiplicity distribution.
- To introduce exclusive cross sections as complementary probes of MPI dynamics.
- To derive sum rules linking inclusive and exclusive cross sections for experimental validation.
- To enable extraction of non-perturbative parameters such as the effective cross section π_eff from inclusive and exclusive measurements.
Proposed method
- Introduces a simplified MPI model with a transverse momentum cutoff to separate hard and soft interactions.
- Treats each hard sub-interaction as perturbatively calculable and independent, assuming two-parton initial states.
- Uses unitarity diagrams and light-cone momentum analysis to derive kinematic constraints and loop integration limits.
- Applies a functional formalism to include two-body correlations in multi-parton distributions.
- Derives sum rules connecting inclusive cross sections (e.g., π_S) to exclusive cross sections (e.g., π_D, π_T) via relations like π_D = π_S β πΜ_1 β πΜ_2.
- Expresses exclusive cross sections in terms of the inclusive cross section and effective parameters like π and π_eff.
Experimental results
Research questions
- RQ1How can inclusive MPI cross sections be interpreted in terms of factorial moments of the interaction multiplicity distribution?
- RQ2What is the role of sum rules in connecting inclusive and exclusive MPI cross sections?
- RQ3How can exclusive cross sections be defined and measured to probe MPI dynamics beyond inclusive observables?
- RQ4In what way do non-perturbative parameters like the effective cross section π_eff encode information about parton correlations?
- RQ5How can proton-deuteron collisions help disentangle spatial and dynamical correlations in parton pairs?
Key findings
- Inclusive MPI cross sections are shown to be factorial moments of the multiplicity distribution, ensuring unitarity and order-by-order calculability.
- The cancellation of AGK interference terms holds for all MPI inclusive cross sections, both in uncorrelated and correlated cases.
- Exclusive cross sections for double (π_D) and triple (π_T) parton collisions are derived via sum rules, with explicit expressions in terms of the single scattering cross section π_S.
- The double parton scattering cross section is given by π_D = π_SΒ² / (2π_eff), and the triple parton scattering by π_T = π_SΒ³ / (6ππ_effΒ²), where π is a dimensionless correlation parameter.
- The effective cross section π_eff can be extracted from inclusive and exclusive measurements, providing a handle on parton spatial and dynamical correlations.
- Proton-deuteron collisions offer a clean probe of parton pair correlations due to the well-known deuteron wave function, enabling separation of spatial and dynamical effects.
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This review was created by AI and reviewed by human editors.