APFELgrid: a high performance tool for parton density determinations

Abstract

We present a new software package designed to reduce the computational burden of hadron collider measurements in Parton Distribution Function (PDF) fits. The APFELgrid package converts interpolated weight tables provided by APPLgrid files into a more efficient format for PDF fitting by the combination with PDF and ${\alpha }_s$ evolution factors provided by APFEL. This combination significantly reduces the number of operations required to perform the calculation of hadronic observables in PDF fits and simplifies the structure of the calculation into a readily optimised scalar product. We demonstrate that our technique can lead to a substantial speed improvement when compared to existing methods without any reduction in numerical accuracy.

13 pages, 2 figures. Submitted to CPC. Code available from https://github.com/nhartland/APFELgrid

References in corpus (15)

• The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
• Parton distributions for the LHC
• Event generation with SHERPA 1.1
• MCFM for the Tevatron and the LHC
• Measurement of the $Z/{\gamma }^{\ast }$ boson transverse momentum distribution in $pp$ collisions at $\sqrt{s}$ = 7 TeV with the ATLAS detector
• QCDNUM: Fast QCD Evolution and Convolution
• Measurement of the inclusive jet cross section in $p\bar{p}$ collisions at $\sqrt{s}=1.96\mathrm{TeV}$
• Measurement of the shape of the boson rapidity distribution for p\bar{p}-> Z/gamma*-> e+e- +X events produced at sqrt(s) of 1.96 TeV
• Inclusive $W$ and $Z$ production in the forward region at $\sqrt{s}=7$ TeV
• Measurement of the t t-bar production cross section in the dilepton channel in pp collisions at sqrt(s) = 7 TeV
• Measurement of the cross-section for Z->e+e- production in pp collisions at sqrt{s}=7TeV
• Measurement of the electron charge asymmetry in inclusive W production in pp collisions at sqrt(s) = 7 TeV
• Measurements of differential and double-differential Drell-Yan cross sections in proton-proton collisions at 8 TeV
• aMCfast: automation of fast NLO computations for PDF fits
• Measurement of the t t-bar production cross section in pp collisions at sqrt(s) = 7 TeV with lepton + jets final states

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