NeoPDF: a fast interpolation library for collinear and transverse momentum-dependent parton distributions.

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Title: NeoPDF: a fast interpolation library for collinear and transverse momentum-dependent parton distributions.
Authors: Rabemananjara, Tanjona R.1,2 (AUTHOR) tanjona.hepc@gmail.com
Source: European Physical Journal C -- Particles & Fields. Dec2025, Vol. 85 Issue 12, p1-24. 24p.
Subjects: Interpolation algorithms, Hadron colliders, Momentum distributions, Distribution (Probability theory), Programming languages, Chebyshev polynomials
Abstract: We present NeoPDF, an interpolation library that supports both collinear and transverse momentum-dependent parton distribution functions. NeoPDF is designed to be fast and reliable, with modern functionalities that target both current and future hadron collider experiments. It aims to address the shortcomings of existing interpolation libraries while providing additional features to support generic non-perturbative functions. Some of the features include a new interpolation based on Chebyshev polynomials, as well as the ability to interpolate along the nucleon number A, the reference strong coupling α s (M Z) , and the parton's intrinsic transverse momentum k T . NeoPDF implements its own file format using binary serialisation and lossless compression, prioritising speed and efficiency. A no-code migration design is provided for LHAPDF in order to remove the friction associated with transitioning to NeoPDF. The library is written in Rust, with interfaces for various programming languages such as Fortran, C, C++, Python, and Mathematica. We benchmark NeoPDF against LHAPDF and TMDlib for various sets and show that it is both fast and accurate. [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: NeoPDF: a fast interpolation library for collinear and transverse momentum-dependent parton distributions.
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  Data: <searchLink fieldCode="AR" term="%22Rabemananjara%2C+Tanjona+R%2E%22">Rabemananjara, Tanjona R.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> tanjona.hepc@gmail.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>. Dec2025, Vol. 85 Issue 12, p1-24. 24p.
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  Data: <searchLink fieldCode="DE" term="%22Interpolation+algorithms%22">Interpolation algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Hadron+colliders%22">Hadron colliders</searchLink><br /><searchLink fieldCode="DE" term="%22Momentum+distributions%22">Momentum distributions</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Programming+languages%22">Programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Chebyshev+polynomials%22">Chebyshev polynomials</searchLink>
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  Data: We present NeoPDF, an interpolation library that supports both collinear and transverse momentum-dependent parton distribution functions. NeoPDF is designed to be fast and reliable, with modern functionalities that target both current and future hadron collider experiments. It aims to address the shortcomings of existing interpolation libraries while providing additional features to support generic non-perturbative functions. Some of the features include a new interpolation based on Chebyshev polynomials, as well as the ability to interpolate along the nucleon number A, the reference strong coupling α s (M Z) , and the parton's intrinsic transverse momentum k T . NeoPDF implements its own file format using binary serialisation and lossless compression, prioritising speed and efficiency. A no-code migration design is provided for LHAPDF in order to remove the friction associated with transitioning to NeoPDF. The library is written in Rust, with interfaces for various programming languages such as Fortran, C, C++, Python, and Mathematica. We benchmark NeoPDF against LHAPDF and TMDlib for various sets and show that it is both fast and accurate. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  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/s10052-025-15127-4
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      – Code: eng
        Text: English
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      – SubjectFull: Interpolation algorithms
        Type: general
      – SubjectFull: Hadron colliders
        Type: general
      – SubjectFull: Momentum distributions
        Type: general
      – SubjectFull: Distribution (Probability theory)
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      – SubjectFull: Programming languages
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      – SubjectFull: Chebyshev polynomials
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      – TitleFull: NeoPDF: a fast interpolation library for collinear and transverse momentum-dependent parton distributions.
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              Text: Dec2025
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