CERN Accelerating science

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1.
Science and Project Planning for the Forward Physics Facility in Preparation for the 2024-2026 European Particle Physics Strategy Update / Adhikary, Jyotismita (NCBJ, Warsaw) ; Anchordoqui, Luis A. (Lehman Coll.) ; Ariga, Akitaka (Bern U., LHEP ; Chiba U.) ; Ariga, Tomoko (Kyushu U., Fukuoka (main)) ; Barr, Alan J. (U. Oxford (main)) ; Batell, Brian (U. Pittsburgh (main)) ; Bian, Jianming (UC, Irvine) ; Boyd, Jamie (CERN) ; Citron, Matthew (UC, Davis) ; De Roeck, Albert (CERN) et al.
The recent direct detection of neutrinos at the LHC has opened a new window on high-energy particle physics and highlighted the potential of forward physics for groundbreaking discoveries. [...]
arXiv:2411.04175.
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nPDFs progress report: nNNPDF3.0 / Rojo, Juan (speaker) (VU Amsterdam and Nikhef)
2024 - 1778. TH institutes; Light ion collisions at the LHC External links: Talk details; Event details In : Light ion collisions at the LHC
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Combination of aN$^3$LO PDFs and implications for Higgs production cross-sections at the LHC / MSHT Collaboration
We discuss how the two existing approximate N$^3$LO (aN$^3$LO) sets of parton distributions (PDFs) from the MSHT20 and NNPDF4.0 series can be combined for LHC phenomenology, both in the pure QCD case and for the QCD$\otimes$QED sets that include the photon PDF. [...]
arXiv:2411.05373 ; DESY-24-134 ; TIF-UNIMI-2024-17 ; Edinburgh 2024/9 ; CERN-TH-2024-167.
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Fulltext
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MuCol Milestone Report No. 5: Preliminary Parameters / MuCoL Collaboration
This document is comprised of a collection of updated preliminary parameters for the key parts of the muon collider. [...]
arXiv:2411.02966.
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Fermilab Library Server - Fulltext - Fulltext
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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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Cover not available Interim report for the International Muon Collider Collaboration / Accettura, C.
The International Muon Collider Collaboration (IMCC) [1] was established in 2020 following the recommendations of the European Strategy for Particle Physics (ESPP) and the implementation of the European Strategy for Particle Physics-Accelerator R&D Roadmap by the Laboratory Directors Group [2], [...]
arXiv:2407.12450 ; CERN-2024-002 - Geneva : CERN, 2024-09-30 - 150. (CERN Yellow Reports: Monographs ; 2/2024)


e-book
7.
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: 2402.18635 - PDF; Publication - PDF;
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A Phenomenological Analysis of LHC Neutrino Scattering at NLO Accuracy Matched to Parton Showers / van Beekveld, Melissa (NIKHEF, Amsterdam) ; Ferrario Ravasio, Silvia (CERN) ; Groenendijk, Eva (NIKHEF, Amsterdam) ; Krack, Peter (NIKHEF, Amsterdam ; Vrije U., Amsterdam) ; Rojo, Juan (NIKHEF, Amsterdam ; Vrije U., Amsterdam) ; Sánchez, Valentina Schütze (NIKHEF, Amsterdam)
We perform a detailed phenomenological study of high-energy neutrino deep inelastic scattering (DIS) focused on LHC far-forward experiments such as FASER$\nu$ and SND@LHC. To this aim, we parametrise the neutrino fluxes reaching these LHC far-forward experiments in terms of `neutrino PDFs' encoding their energy and rapidity dependence by means of the LHAPDF framework. [...]
arXiv:2407.09611; Nikhef 2024-012; CERN-TH-2024-111.- 2024-11-18 - 25 p. - Published in : Eur. Phys. J. C 84 (2024) 1175 Fulltext: 2407.09611 - PDF; document - PDF;
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LO, NLO, and NNLO Parton Distributions for LHC Event Generators / Cruz-Martinez, Juan (CERN) ; Forte, Stefano (INFN, Milan ; Milan U.) ; Laurenti, Niccolo (INFN, Milan ; Milan U.) ; Rabemananjara, Tanjona R. (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Rojo, Juan (Vrije U., Amsterdam ; NIKHEF, Amsterdam)
We present NNPDF4.0MC, a variant of the NNPDF4.0 set of parton distributions (PDFs) at LO, NLO and NNLO, with and without inclusion of the photon PDF, suitable for use with Monte Carlo (MC) event generators, which require PDFs to satisfy additional constraints in comparison to standard PDF sets. These requirements include PDF positivity down to a low scale $Q\sim 1$ GeV, smooth extrapolation in the very small and large $x$ regions, and numerically stable results even in extreme regions of phase space for all PDFs. [...]
arXiv:2406.12961; CERN-TH-2024-080; TIF-UNIMI-2024-4.- 2024-09-17 - 14 p. - Published in : JHEP 2409 (2024) 088 Fulltext: document - PDF; 2406.12961 - PDF;
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Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy / NNPDF Collaboration
We include uncertainties due to missing higher order corrections to QCD computations (MHOU) used in the determination of parton distributions (PDFs) in the recent NNPDF4.0 set of PDFs. We use our previously published methodology, based on the treatment of MHOUs and their full correlations through a theory covariance matrix determined by scale variation, now fully incorporated in the new NNPDF theory pipeline. [...]
arXiv:2401.10319; TIF-UNIMI-2023-22; Edinburgh 2023/34; CERN-TH-2024-009.- 2024-05-21 - 23 p. - Published in : Eur. Phys. J. C 84 (2024) 517 Fulltext: document - PDF; 2401.10319 - PDF;

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See also: similar author names
27 Rojo, J
3 Rojo, J M
1 Rojo, J R R
1 Rojo, J R Rodriguez
40 Rojo, J Rodriguez
1 Rojo, J.S.
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4 Rojo, Joan
3 Rojo, Jorge Rubén Rodriguez
150 Rojo, Juan
1 Rojo, JuanÑ Nikhef Theory Group
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