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Response to "Parton distributions need representative sampling"
/ Ball, Richard D. (U. Edinburgh, Higgs Ctr. Theor. Phys.) ; Cruz-Martinez, Juan (CERN) ; Del Debbio, Luigi (U. Edinburgh, Higgs Ctr. Theor. Phys.) ; Forte, Stefano (INFN, Milan ; Milan U.) ; Kassabov, Zahari (Cambridge U., DAMTP) ; Nocera, Emanuele R. (Turin U.) ; Rojo, Juan (Vrije U., Amsterdam ; Nikhef, Amsterdam) ; Stegeman, Roy (U. Edinburgh, Higgs Ctr. Theor. Phys.) ; Ubiali, Maria (Cambridge U., DAMTP)
We respond to the criticism raised by Courtoy et al., in which the faithfulness of the NNPDF4.0 sampling is questioned and an under-estimate of the NNPDF4.0 PDF uncertainties is implied. [...]
arXiv:2211.12961 ; Edinburgh 2022/19 ; TIF-UNIMI-2022-21.
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18 p.
Response to - Fulltext
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The path to $\hbox {N}^3\hbox {LO}$ parton distributions
/ NNPDF Collaboration
We extend the existing leading (LO), next-to-leading (NLO), and next-to-next-to-leading order (NNLO) NNPDF4.0 sets of parton distribution functions (PDFs) to approximate next-to-next-to-next-to-leading order (aN$^3$LO). We construct an approximation to the N$^3$LO splitting functions that includes all available partial information from both fixed-order computations and from small and large $x$ resummation, and estimate the uncertainty on this approximation by varying the set of basis functions used to construct the approximation. [...]
arXiv:2402.18635; Nikhef-2023-020; TIF-UNIMI-2023-23; Edinburgh 2023/29.-
2024-07-03 - 59 p.
- Published in : Eur. Phys. J. C 84 (2024) 659
Fulltext: Publication - PDF; 2402.18635 - PDF;
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The PDF4LHC21 combination of global PDF fits for the LHC Run III
/ PDF4LHC Working Group Collaboration
A precise knowledge of the quark and gluon structure of the proton, encoded by the parton distribution functions (PDFs), is of paramount importance for the interpretation of high-energy processes at present and future lepton-hadron and hadron-hadron colliders. Motivated by recent progress in the PDF determinations carried out by the CT, MSHT, and NNPDF groups, we present an updated combination of global PDF fits: PDF4LHC21. [...]
arXiv:2203.05506; Edinburgh 2021/31; FERMILAB-PUB-22-121-QIS-SCD-T; MSUHEP-22-010,
Nikhef 2021-033; SMU-HEP-22-01.-
2022-07-05 - 94 p.
- Published in : J. Phys. G 49 (2022) 080501
Fulltext: jt - PDF; 2203.05506 - PDF; Publication - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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Parton distributions confront LHC Run II data: a quantitative appraisal
/ Chiefa, Amedeo (Heriot-Watt U. (main) ; Maxwell Inst. Math. Sci., Edinburgh ; U. Edinburgh, Higgs Ctr. Theor. Phys.) ; Costantini, Mark N. (Cambridge U., DAMTP) ; Cruz-Martinez, Juan (CERN) ; Nocera, Emanuele R. (Turin U. ; INFN, Turin) ; Rabemananjara, Tanjona R. (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Rojo, Juan (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Sharma, Tanishq (Turin U. ; INFN, Turin ; Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Stegeman, Roy (Heriot-Watt U. (main) ; Maxwell Inst. Math. Sci., Edinburgh ; U. Edinburgh, Higgs Ctr. Theor. Phys.) ; Ubiali, Maria (Cambridge U., DAMTP)
We present a systematic comparison of theoretical predictions and various high-precision experimental measurements, specifically of differential cross sections performed by the LHC run II for Drell-Yan gauge boson, top-quark pair, single-inclusive jet and di-jet production, and by HERA for single-inclusive jet and di-jet production. [...]
Nikhef 2025-002 ; Edinburgh 2024/10 ; CERN-TH-2024-16 ; arXiv:2501.10359.
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The intrinsic charm quark valence distribution of the proton
/ Ball, Richard D. (U. Edinburgh, Higgs Ctr. Theor. Phys.) ; Candido, Alessandro (INFN, Milan ; Milan U. ; CERN) ; Cruz-Martinez, Juan (CERN) ; Forte, Stefano (INFN, Milan ; Milan U.) ; Giani, Tommaso (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Hekhorn, Felix (INFN, Milan ; Milan U. ; Jyvaskyla U. ; Helsinki U.) ; Magni, Giacomo (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Nocera, Emanuele R. (Turin U.) ; Rojo, Juan (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Stegeman, Roy (U. Edinburgh, Higgs Ctr. Theor. Phys.)
/NNPDF Collaboration
We provide a first quantitative indication that the wave function of the proton contains unequal distributions of charm quarks and antiquarks, i.e. a nonvanishing intrinsic valence charm distribution. [...]
arXiv:2311.00743; Edinburgh 2023/22; TIF-UNIMI-2023-28; Nikhef 2023-012,
CERN-TH-2023-196.-
2024-05-01 - 11 p.
- Published in : Phys. Rev. D 109 (2024) L091501
Fulltext: PDF;
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Snowmass 2021 whitepaper: Proton structure at the precision frontier
/ Amoroso, S. (DESY) ; Apyan, A. (Brandeis U.) ; Armesto, N. (Santiago de Compostela U., IGFAE) ; Ball, R.D. (U. Edinburgh, Higgs Ctr. Theor. Phys.) ; Bertone, V. (IRFU, Saclay) ; Bissolotti, C. (Argonne) ; Bluemlein, J. (DESY) ; Boughezal, R. (Argonne) ; Bozzi, G. (Cagliari U. ; INFN, Cagliari) ; Britzger, D. (Munich, Max Planck Inst.) et al.
An overwhelming number of theoretical predictions for hadron colliders require parton distribution functions (PDFs), which are an important ingredient of theory infrastructure for the next generation of high-energy experiments. This whitepaper summarizes the status and future prospects for determination of high-precision PDFs applicable in a wide range of energies and experiments, in particular in precision tests of the Standard Model and in new physics searches at the high-luminosity Large Hadron Collider and Electron-Ion Collider [...]
arXiv:2203.13923; Edinburgh 2022/08; FERMILAB-PUB-22-222-QIS-SCD-T; MPP-2022-32,
SLAC-PUB-17652; SMU-HEP-22-02; TIF-UNIMI-2022-6.-
2023-01-17 - 79 p.
- Published in : 10.5506/APhysPolB.53.12-A1
Fulltext: jt - PDF; 2203.13923 - PDF; Fulltext from Publisher: PDF; External links: Fermilab Library Server; eConf
In : 2021 Snowmass Summer Study, Seattle, WA, United States, 11 - 20 July 2021, pp.
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Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure
/ Cruz-Martinez, Juan (CERN) ; Jansen, Aaron (Netherlands eScience Center) ; van Oord, Gijs (Netherlands eScience Center) ; Rabemananjara, Tanjona R. (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Rocha, Carlos M.R. (Netherlands eScience Center) ; Rojo, Juan (CERN ; Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Stegeman, Roy (U. Edinburgh, Higgs Ctr. Theor. Phys.)
Deep learning models are defined in terms of a large number of hyperparameters, such as network architectures and optimiser settings. [...]
CERN-TH-2024-168 ; arXiv:2410.16248.
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Photons in the proton: implications for the LHC
/ NNPDF Collaboration
We construct a set of parton distribution functions (PDFs), based on the recent NNPDF4.0 PDF set, that also include a photon PDF. The photon PDF is constructed using the LuxQED formalism, while QED evolution accounting for O(alpha), O(alpha alphas) and O(alpha^2) corrections is implemented and benchmarked by means of the EKO code. [...]
arXiv:2401.08749; TIF-UNIMI-2023-17; Edinburgh 2023/19; CERN-TH-2023-159.-
2024-05-28 - 32 p.
- Published in : Eur. Phys. J. C 84 (2024) 540
Fulltext: document - PDF; 2401.08749 - PDF;
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