hoppetv2 release note.

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Title: hoppetv2 release note.
Authors: Karlberg, Alexander1 (AUTHOR) alexander.karlberg@cern.ch, Nason, Paolo2 (AUTHOR) paolo.nason@mib.infn.it, Salam, Gavin3,4 (AUTHOR) gavin.salam@physics.ox.ac.uk, Zanderighi, Giulia5,6 (AUTHOR) zanderi@mpp.mpg.de, Dreyer, Frédéric7 (AUTHOR) dreyer.frederic@gene.com
Source: European Physical Journal C -- Particles & Fields. Feb2026, Vol. 86 Issue 2, p1-29. 29p.
Subjects: Quantum chromodynamics, Python programming language, Quark-gluon interactions, Quarks
Abstract: We document the three main new features in the v2 release series of the hoppet parton distribution function evolution code, specifically support for N 3 LO QCD evolution in the variable flavour number scheme, for the determination of hadronic structure functions for massless quarks up to N 3 LO, and for QED evolution to an accuracy phenomenologically equivalent to NNLO QCD. Additionally we describe a new Python interface, CMake build option, functionality to save a hoppet table as an LHAPDF grid and update our performance benchmarks, including optimisations in interpolating PDF tables. [ABSTRACT FROM AUTHOR]
Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: hoppetv2 release note.
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  Data: <searchLink fieldCode="AR" term="%22Karlberg%2C+Alexander%22">Karlberg, Alexander</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alexander.karlberg@cern.ch</i><br /><searchLink fieldCode="AR" term="%22Nason%2C+Paolo%22">Nason, Paolo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> paolo.nason@mib.infn.it</i><br /><searchLink fieldCode="AR" term="%22Salam%2C+Gavin%22">Salam, Gavin</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<i> gavin.salam@physics.ox.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Zanderighi%2C+Giulia%22">Zanderighi, Giulia</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<i> zanderi@mpp.mpg.de</i><br /><searchLink fieldCode="AR" term="%22Dreyer%2C+Frédéric%22">Dreyer, Frédéric</searchLink><relatesTo>7</relatesTo> (AUTHOR)<i> dreyer.frederic@gene.com</i>
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  Data: <searchLink fieldCode="JN" term="%22European+Physical+Journal+C+--+Particles+%26+Fields%22">European Physical Journal C -- Particles & Fields</searchLink>. Feb2026, Vol. 86 Issue 2, p1-29. 29p.
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  Data: <searchLink fieldCode="DE" term="%22Quantum+chromodynamics%22">Quantum chromodynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Quark-gluon+interactions%22">Quark-gluon interactions</searchLink><br /><searchLink fieldCode="DE" term="%22Quarks%22">Quarks</searchLink>
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  Data: We document the three main new features in the v2 release series of the hoppet parton distribution function evolution code, specifically support for N 3 LO QCD evolution in the variable flavour number scheme, for the determination of hadronic structure functions for massless quarks up to N 3 LO, and for QED evolution to an accuracy phenomenologically equivalent to NNLO QCD. Additionally we describe a new Python interface, CMake build option, functionality to save a hoppet table as an LHAPDF grid and update our performance benchmarks, including optimisations in interpolating PDF tables. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1140/epjc/s10052-025-15200-y
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        Text: English
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        Type: general
      – SubjectFull: Python programming language
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      – SubjectFull: Quark-gluon interactions
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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