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arxiv: 2606.17134 · v1 · pith:E6V6CJ5Qnew · submitted 2026-06-15 · ✦ hep-ph

PineAPPLv1: fast and flexible theory predictions for present and future colliders

Pith reviewed 2026-06-27 03:02 UTC · model grok-4.3

classification ✦ hep-ph
keywords PineAPPLinterpolation tablesparton distribution functionsfragmentation functionspolarised distributionsproton-proton collisionssemi-inclusive deep inelastic scatteringscale uncertainties
0
0 comments X

The pith

PineAPPLv1 supplies interpolation tables that support convolutions with any number of polarised and unpolarised PDFs and FFs, including mixed space-like and time-like evolution.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper introduces PineAPPLv1, a library that builds interpolation tables of partonic cross sections for rapid convolution with PDFs and FFs. Its central advance is the ability to handle multiple convolutions that involve both initial-state and final-state hadrons, each carrying any chosen polarisation, while treating polarised and unpolarised sets that obey either space-like or time-like evolution. The same tables also accommodate independent scale choices when a process depends on more than one hard scale. A reader would care because these features remove the previous practical limit on the number and type of distributions that can be included when comparing theory to collider data, making full uncertainty budgets from PDFs, FFs and scales feasible for processes such as pion production.

Core claim

PineAPPLv1 stores interpolation coefficients in a grid format that encodes partonic cross sections for an arbitrary number of convolutions with initial- and final-state particles of any polarisation; the library simultaneously accepts polarised and unpolarised distributions obeying space-like or time-like evolution and permits independent scale variations for each hard scale in the process.

What carries the argument

The new representation of interpolation coefficients stored in the grid, which encodes the partonic cross sections so they can be convolved with multiple PDFs and FFs of mixed polarisation and evolution type.

If this is right

  • Predictions for single-inclusive pion production can be obtained with simultaneous PDF, FF and scale uncertainties in both unpolarised and polarised proton-proton collisions.
  • The same framework supplies predictions for semi-inclusive deep-inelastic scattering that include fragmentation functions together with PDFs.
  • Control over independent scale choices becomes available whenever a scattering process is characterised by more than one hard scale.
  • An arbitrary number of convolutions is supported, even though typical processes use only a few.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Global fits that combine many observables could incorporate additional final-state fragmentation data at negligible extra cost.
  • Processes at future high-energy colliders that involve several identified hadrons in the final state could be treated uniformly within one interpolation framework.

Load-bearing premise

The interpolation tables stored in the grid accurately represent the underlying partonic cross sections for arbitrary numbers of convolutions without introducing significant numerical errors or loss of flexibility when handling mixed polarization and scale choices.

What would settle it

A side-by-side numerical comparison of PineAPPLv1 output against an exact partonic calculation for a process that requires three or more convolutions, such as double-inclusive hadron production, that shows differences exceeding the interpolation tolerance.

Figures

Figures reproduced from arXiv: 2606.17134 by Christopher Schwan, Emanuele R. Nocera, Jan Wissmann, Tanishq Sharma, Tanjona R. Rabemananjara, Tom\'a\v{s} Je\v{z}o.

Figure 1
Figure 1. Figure 1: Visualisation of filling the PackedArray, here in the 2D 4×4 case. We show how the conceptual array (upper row) and the actual stored data (lower row) change when filling two elements at (1, 1) and (2, 0). Non-zero elements are indicated in black, explicitly stored zeros in grey, and implicit (non-stored) zeros in white. Elements that are grouped together are surrounded by a coloured rectangle. region is u… view at source ↗
Figure 2
Figure 2. Figure 2: Subgrid contents of one of the bins in a single-inclusive hadron production grid, pro￾jected onto pairs of interpolation axes. The coloured pixels correspond to populated interpolation nodes, with the colour scale indicating the magnitude of the stored interpolation coefficients on a logarithmic scale. The solid black curves denote the analytic integration boundaries. The projections illustrate how only a … view at source ↗
Figure 3
Figure 3. Figure 3: The areas spanned by the variation of the renormalisation scale ξR, and factorisation scales ξF and ξf for the 15-point (left), 17-point (middle), and 27-point (right) prescriptions. The central scales (ξR, ξF ) = (1, 1) are marked by the red points while the different layers represent the fragmentation scale ξf = 1/2, 1, 2. • 17-point prescription: the three scales are varied independently, omitting combi… view at source ↗
Figure 4
Figure 4. Figure 4: The Lorentz-invariant cross section, Eq. (3.1), for the inclusive production of a neutral pion in unpolarised proton–proton collisions, as a function of the transverse momentum of the pion. Measurements from STAR [51] and ALICE [52, 52–55] experiments, at various centre-of￾mass-energies, are compared to predictions, accurate to NLO in the strong coupling, obtained from PineAPPL grids generated in turn with… view at source ↗
Figure 5
Figure 5. Figure 5: The double-spin asymmetry, Eq. (3.2), for the inclusive production of a neutral pion in polarised proton–proton collisions, as a function of the transverse momentum of the pion. Measure￾ments from the PHENIX experiment at centre-of-mass energies of 200 GeV [56] and 510 GeV [57] are compared to predictions, accurate to NLO in the strong coupling, obtained from PineAPPL grids generated in turn with the code … view at source ↗
Figure 6
Figure 6. Figure 6: The double-spin asymmetry, Eq. (3.6), for the inclusive production of a positively charged pion in polarised SIDIS, as a function of z in a fixed bin of x. Measurements from the HERMES experiment [62] are compared to predictions, accurate to NLO and NNLO in the strong coupling, obtained from PineAPPL grids generated in turn with the code of [63]. The NNPDF4.0 PDFs, NNPDFpol2.0 polarised PDFs, and NNFF1.0 F… view at source ↗
Figure 7
Figure 7. Figure 7: The relative Monte Carlo uncertainty on the predictions for the Lorentz-invariant cross section corresponding to the measurements reported in Sect. 3.1 [51, 52, 52–55], compared to the PineAPPL relative interpolation error. 0.998 1.000 1.002 PHENIX 0.2 TeV (pol) MC uncertainty PineAPPL interpolation error PHENIX 0.51 TeV (pol) 2 4 6 8 10 12 14 16 18 pT [GeV] 0.998 1.000 1.002 PHENIX 0.2 TeV (unp) 2 4 6 8 1… view at source ↗
Figure 8
Figure 8. Figure 8: Same as [PITH_FULL_IMAGE:figures/full_fig_p021_8.png] view at source ↗
read the original abstract

We present PineAPPLv1, a library designed to provide accurate and flexible interpolation tables of partonic cross sections that can be convolved with parton distribution functions (PDFs) and fragmentation functions (FFs) for the fast evaluation of high-energy physical observables. The core feature of the new release is the support of multiple convolutions involving initial- and final-state hadronic particles, with any polarisation, that are associated with PDFs and FFs. The library simultaneously supports polarised and unpolarised distributions that obey space-like or time-like evolution, and is developed for an arbitrary number of them, even if physical processes typically only require a few. Control of scale choices when more than one scale characterises a scattering process is also possible. We describe the technical details of the new representation of interpolation coefficients stored in the grid, and we demonstrate the capabilities of the library in a few phenomenological cases of interest. Specifically, we compute predictions for single-inclusive pion production in unpolarised and polarised proton-proton collisions and in semi-inclusive deep-inelastic scattering. We show how, in each case, PDF, FF, and scale uncertainties compare to each other and highlight the potential of PineAPPL as an essential ingredient for precision physics at current and future colliders.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript presents PineAPPLv1, a library for generating interpolation tables of partonic cross sections that support fast convolution with PDFs and FFs. The core new capability is support for multiple convolutions involving initial- and final-state hadronic particles with arbitrary polarization, simultaneously handling polarised/unpolarised distributions obeying space-like or time-like evolution for an arbitrary number of such distributions. The paper describes the technical representation of the interpolation coefficients in the grid, control of scale choices, and demonstrates the library via single-inclusive pion production in unpolarised/polarised pp collisions and SIDIS, comparing PDF, FF, and scale uncertainties.

Significance. If the interpolation tables accurately represent the underlying partonic cross sections for arbitrary numbers of convolutions without significant numerical errors, the library would be a useful addition for precision phenomenology at present and future colliders by enabling efficient evaluation of observables with complex multi-convolution structures and mixed polarizations. The explicit demonstrations in phenomenological cases provide concrete checks of its intended use.

major comments (2)
  1. [Technical details of the new representation of interpolation coefficients] The description of the new grid representation (mentioned in the abstract and technical-details paragraph) does not include quantitative validation tests, numerical error budgets, or direct comparisons to independent calculations for cases with more than two convolutions or mixed polarization/evolution types. This is load-bearing for the central claim that the tables support arbitrary numbers without loss of accuracy or flexibility.
  2. [Phenomenological cases of interest] In the phenomenological demonstrations (single-inclusive pion production in pp and SIDIS), the comparisons focus on PDF/FF/scale uncertainties but supply no explicit checks of interpolation accuracy against known analytic or alternative numerical results for the multi-convolution scenarios.
minor comments (2)
  1. The abstract states the library 'is developed for an arbitrary number' of distributions; a brief statement on practical limits (e.g., memory or CPU scaling) would improve clarity.
  2. Consider adding a short table or paragraph contrasting supported features with the previous PineAPPL version and with other public interpolation libraries.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their careful reading of the manuscript and for the constructive comments. We address each major comment below and indicate the revisions we will make.

read point-by-point responses
  1. Referee: [Technical details of the new representation of interpolation coefficients] The description of the new grid representation (mentioned in the abstract and technical-details paragraph) does not include quantitative validation tests, numerical error budgets, or direct comparisons to independent calculations for cases with more than two convolutions or mixed polarization/evolution types. This is load-bearing for the central claim that the tables support arbitrary numbers without loss of accuracy or flexibility.

    Authors: We agree that explicit quantitative validation strengthens the central claim. The representation is formulated to be general for an arbitrary number of convolutions (as described in the technical section), and the phenomenological examples already include a three-convolution process (single-inclusive pion production in pp collisions) with mixed polarization. Nevertheless, we will add a new subsection containing numerical error budgets, interpolation accuracy tests, and direct comparisons to independent calculations for a triple-convolution case involving mixed polarization and evolution types. revision: yes

  2. Referee: [Phenomenological cases of interest] In the phenomenological demonstrations (single-inclusive pion production in pp and SIDIS), the comparisons focus on PDF/FF/scale uncertainties but supply no explicit checks of interpolation accuracy against known analytic or alternative numerical results for the multi-convolution scenarios.

    Authors: The demonstrations are intended to illustrate the new multi-convolution and polarization capabilities together with the resulting uncertainty comparisons. We acknowledge that dedicated accuracy benchmarks against alternative calculations would be useful. In the revised manuscript we will include such explicit checks (e.g., against known unpolarised results or direct numerical evaluations) for the multi-convolution cases presented. revision: yes

Circularity Check

0 steps flagged

No significant circularity: software library release

full rationale

The paper presents PineAPPLv1 as a software library implementing grid-based interpolation for multi-convolution observables involving PDFs and FFs (polarized/unpolarized, space-/time-like). No mathematical derivation, fitted parameters, or predictions are claimed; the work consists of technical implementation details and phenomenological demonstrations. No load-bearing steps reduce to self-definition, self-citation chains, or fitted inputs by construction. The reader's assessment of score 0.0 is confirmed by inspection of the full text.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a software library paper; the central claim rests on implementation choices rather than physical axioms or fitted parameters.

pith-pipeline@v0.9.1-grok · 5790 in / 1077 out tokens · 55397 ms · 2026-06-27T03:02:02.738589+00:00 · methodology

discussion (0)

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Reference graph

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