LHAPDF is a general purpose C++ interpolator, used for evaluating PDFs from discretised data files. Previous versions of LHAPDF were written in Fortran 77/90 and are documented at http://lhapdf.hepforge.org/lhapdf5/. LHAPDF6 vastly reduces the memory overhead of the Fortran LHAPDF (from gigabytes to megabytes!), entirely removes restrictions on numbers of concurrent PDFs, allows access to single PDF members without needing to load whole sets, and separates a new standardised PDF data format from the code library so that new PDF sets may be created and released easier and faster. The C++ LHAPDF6 also permits arbitrary parton contents via the standard PDG ID code scheme, is computationally more efficient (particularly if only one or two flavours are required at each phase space point, as in PDF reweighting), and uses a flexible metadata system which fixes many fundamental metadata and concurrency bugs in LHAPDF5. Compatibility routines are provided as standard for existing C++ and Fortran codes using the LHAPDF5 and PDFLIB legacy interfaces, so you can keep using your existing codes. But the new interface is much more powerful and pleasant to work with, so we think you’ll want to switch once you’ve used it!None

References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Del Debbio, Luigi; Giani, Tommaso; Monahan, Christopher J.: Notes on lattice observables for parton distributions: nongauge theories (2020)
  2. Karpie, Joseph; Orginos, Kostas; Rothkopf, Alexander; Zafeiropoulos, Savvas: Reconstructing parton distribution functions from Ioffe time data: from Bayesian methods to neural networks (2019)
  3. Gao, Jun; Harland-Lang, Lucian; Rojo, Juan: The structure of the proton in the LHC precision era (2018)
  4. Sébastien Brochet; Christophe Delaere; Brieuc François; Vincent Lemaître; Alexandre Mertens; Alessia Saggio; Miguel Vidal Marono; Sébastien Wertz: MoMEMta, a modular toolkit for the Matrix Element Method at the LHC (2018) arXiv
  5. Hasselhuhn, Alexander; Luthe, Thomas; Steinhauser, Matthias: On top quark mass effects to (gg \rightarrowZH) at NLO (2017)
  6. D. B. Clark, E. Godat, F. I. Olness: ManeParse: a Mathematica reader for Parton Distribution Functions (2016) arXiv
  7. F. Hautmann, H. Jung, M. Krämer, P. J. Mulders, E. R. Nocera, T. C. Rogers, A. Signori: TMDlib and TMDplotter: library and plotting tools for transverse-momentum-dependent parton distributions (2014) arXiv
  8. Wiebusch, Martin: HEPMath 1.4: A Mathematica Package for Semi-Automatic Computations in High Energy Physics (2014) arXiv
  9. Anastasiou, Charalampos; Buehler, Stephan; Herzog, Franz; Lazopoulos, Achilleas: Total cross-section for Higgs boson hadroproduction with anomalous Standard-Model interactions (2011)
  10. Martin, A. D.; Stirling, W. J.; Thorne, R. S.; Watt, G.: Parton distributions for the LHC (2009)
  11. NNPDF Collaboration; Ball, Richard D.; Del Debbio, Luigi; Forte, Stefano; Guffanti, Alberto; Latorre, José I.; Piccione, Andrea; Rojo, Juan; Ubiali, Maria: A determination of parton distributions with faithful uncertainty estimation (2009)