EKO: evolution kernel operators

Candido, Alessandro; Hekhorn, Felix; Magni, Giacomo

doi:10.1140/epjc/s10052-022-10878-w

Cited by 25 publications

(10 citation statements)

References 106 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The software package EKO [44,45] has been developed to solve these equations in terms of evolution kernel operators (EKOs):…”

Section: Generating Evolution Kernel Operators: Ekomentioning

confidence: 99%

Pineline: Industrialization of High-Energy Theory Predictions

Barontini¹,

Candido²,

Cruz-Martinez³

et al. 2023

Preprint

View full text Add to dashboard Cite

We present a collection of tools automating the efficient computation of large sets of theory predictions for high-energy physics. Calculating predictions for different processes often require dedicated programs. These programs, however, accept inputs and produce outputs that are usually very different from each other. The industrialization of theory predictions is achieved by a framework which harmonizes inputs (runcard, parameter settings), standardizes outputs (in the form of grids), produces reusable intermediate objects, and carefully tracks all meta data required to reproduce the computation. Parameter searches and fitting of non-perturbative objects are exemplary use cases that require a full or partial re-computation of theory predictions and will thus benefit of such a toolset. As an example application we present a study of the impact of replacing NNLO QCD K-factors in a PDF fit with the exact NNLO predictions.

show abstract

“…The software package EKO [44,45] has been developed to solve these equations in terms of evolution kernel operators (EKOs):…”

Section: Generating Evolution Kernel Operators: Ekomentioning

confidence: 99%

Pineline: Industrialization of High-Energy Theory Predictions

Barontini¹,

Candido²,

Cruz-Martinez³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The given  0 value is noting but the minimum required energy to produce the (𝑄𝑞 Q𝑞) system in a color-singlet configuration. Several tools, such as QCD-PEGASUS [330], HOPPET [331], QCDNUM [332], APFEL(++) [333][334][335], and EKO [336], come as public tools suited to numerically solve the DGLAP equations. Contrariwise to collinear PDFs, whose evolution is space-like, FF DGLAP evolution is timelike [337,338].…”

Section: The Tqhl10 Ff Determinationsmentioning

confidence: 99%

Vector Quarkonia at the LHC with Jethad: A High-Energy Viewpoint

Celiberto

2023

Universe

View full text Add to dashboard Cite

In this review, we discuss and extend the study of the inclusive production of vector quarkonia, J/ψ and Υ, emitted with large transverse momenta and rapidities at the LHC. We adopt the novel ZCW19+ determination of fragmentation functions to depict the quarkonium production mechanism at the next-to-leading level of perturbative QCD. This approach is based on the nonrelativistic QCD formalism well adapted to describe the formation of a quarkonium state from the collinear fragmentation of a gluon or a constituent heavy quark at the lowest energy scale. We rely upon the NLL/NLO+ hybrid high-energy and collinear factorization for differential cross-sections, where the collinear formalism is enhanced by the BFKL resummation of next-to-leading energy logarithms arising in the t-channel. We employ the method to analyze the behavior of the rapidity distributions for double-inclusive vector quarkonium and inclusive vector quarkonium plus jet emissions. We discover that the natural stability of the high-energy series, previously seen in observables sensitive to the emission of hadrons with heavy flavor detected in the rapidity acceptance of LHC barrel calorimeters, becomes even more manifest when these particles are tagged in forward regions covered by endcaps. Our findings present the important message that vector quarkonia at the LHC via hybrid factorization offer a unique chance to perform precision studies of high-energy QCD, as well as an intriguing opportunity to shed light on the quarkonium production puzzle.

show abstract

“…PineAPPL is interfaced with Madgraph5_aMC@NLO [305] and yadism [798,799], which we use to produce interpolation grids for hadron-hadron and hadron-lepton collider processes, respectively. Although PineAPPL is written in Rust, interfaces in C, C++, Fortran, and Python are also provided, so it can be easily integrated into any Monte Carlo (MC) generator.…”

Section: The Pineappl Interfacementioning

confidence: 99%

Snowmass 2021 Whitepaper: Proton Structure at the Precision Frontier

Amoroso¹,

Apyan²,

Armesto³

et al. 2022

Acta Phys. Pol. B

View full text Add to dashboard Cite

An overwhelming number of theoretical predictions for hadron colliders require parton distribution functions (PDFs), which are an important ingredient of theory infrastructure for the next generation of high-energy experiments. This whitepaper summarizes the status and future prospects for determination of high-precision PDFs applicable in a wide range of energies and experiments, in particular in precision tests of the Standard Model and in new physics searches at the high-luminosity Large Hadron Collider and Electron-Ion Collider. We discuss the envisioned advancements in experimental measurements, QCD theory, global analysis methodology, and computing that are necessary to bring unpolarized PDFs in the nucleon to the N2LO and N3LO accuracy in the QCD coupling strength. Special attention is given to the new tasks that emerge in the era of the precision PDF analysis, such as those focusing on the robust control of systematic factors both in experimental measurements and theoretical computations. Various synergies between experimental and theoretical studies of the hadron structure are explored, including opportunities for studying PDFs for nuclear and meson targets, PDFs with electroweak contributions or dependence on the transverse momentum, for incisive comparisons between phenomenological models for the PDFs and computations on discrete lattice, and for cross-fertilization with machine learning/AI approaches.

show abstract

EKO: evolution kernel operators

Cited by 25 publications

References 106 publications

Pineline: Industrialization of High-Energy Theory Predictions

Pineline: Industrialization of High-Energy Theory Predictions

Vector Quarkonia at the LHC with Jethad: A High-Energy Viewpoint

Snowmass 2021 Whitepaper: Proton Structure at the Precision Frontier

Contact Info

Product

Resources

About