Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Zahari Kassabov"'
Autor:
PBSP Collaboration, Mark N. Costantini, Elie Hammou, Zahari Kassabov, Maeve Madigan, Luca Mantani, Manuel Morales-Alvarado, James M. Moore, Maria Ubiali
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 8, Pp 1-25 (2024)
Abstract We present the open-source SIMUnet code, designed to fit Standard Model Effective Field Theory (SMEFT) Wilson coefficient alongside Parton Distribution Functions (PDFs) of the proton. SIMUnet can perform SMEFT global fits, as well as simulta
Externí odkaz:
https://doaj.org/article/1b8edc6766504ac8a661f4d96f01140b
Autor:
Richard D. Ball, Andrea Barontini, Alessandro Candido, Stefano Carrazza, Juan Cruz-Martinez, Luigi Del Debbio, Stefano Forte, Tommaso Giani, Felix Hekhorn, Zahari Kassabov, Niccolò Laurenti, Giacomo Magni, Emanuele R. Nocera, Tanjona R. Rabemananjara, Juan Rojo, Christopher Schwan, Roy Stegeman, Maria Ubiali, The NNPDF Collaboration
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 7, Pp 1-59 (2024)
Abstract 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 ( $$\hbox {aN}^3\hbox {LO}$$ aN 3
Externí odkaz:
https://doaj.org/article/296033acd0904665a86ae1823d3076dd
Autor:
NNPDF Collaboration, Richard D. Ball, Andrea Barontini, Alessandro Candido, Stefano Carrazza, Juan Cruz-Martinez, Luigi Del Debbio, Stefano Forte, Tommaso Giani, Felix Hekhorn, Zahari Kassabov, Niccolò Laurenti, Giacomo Magni, Emanuele R. Nocera, Tanjona R. Rabemananjara, Juan Rojo, Christopher Schwan, Roy Stegeman, Maria Ubiali
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 5, Pp 1-29 (2024)
Abstract 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 $${\mathcal {O}}\l
Externí odkaz:
https://doaj.org/article/4b66f6cbc46840dba9a0b065ea24384b
Autor:
NNPDF Collaboration, Richard D. Ball, Andrea Barontini, Alessandro Candido, Stefano Carrazza, Juan Cruz-Martinez, Luigi Del Debbio, Stefano Forte, Tommaso Giani, Felix Hekhorn, Zahari Kassabov, Niccolò Laurenti, Giacomo Magni, Emanuele R. Nocera, Tanjona R. Rabemananjara, Juan Rojo, Christopher Schwan, Roy Stegeman, Maria Ubiali
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 5, Pp 1-22 (2024)
Abstract 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 th
Externí odkaz:
https://doaj.org/article/277890b654114e59856324cce9eeee04
Autor:
Elie Hammou, Zahari Kassabov, Maeve Madigan, Michelangelo L. Mangano, Luca Mantani, James Moore, Manuel Morales Alvarado, Maria Ubiali
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 11, Pp 1-48 (2023)
Abstract The interpretation of LHC data, and the assessment of possible hints of new physics, require the precise knowledge of the proton structure in terms of parton distribution functions (PDFs). We present a systematic methodology designed to dete
Externí odkaz:
https://doaj.org/article/163eb3b10c6045cea0a8c04d1adfe7e1
Autor:
Zahari Kassabov, Maeve Madigan, Luca Mantani, James Moore, Manuel Morales Alvarado, Juan Rojo, Maria Ubiali
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 5, Pp 1-75 (2023)
Abstract We assess the impact of top quark production at the LHC on global analyses of parton distributions (PDFs) and of Wilson coefficients in the SMEFT, both separately and in the framework of a joint interpretation. We consider the broadest top q
Externí odkaz:
https://doaj.org/article/0558afd1a6f04c9da52fecadaf249218
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 3, Pp 1-41 (2023)
Abstract We present the MCscales approach for incorporating scale uncertainties in parton distribution functions (PDFs). The new methodology builds on the Monte Carlo sampling for propagating experimental uncertainties into the PDF space that underli
Externí odkaz:
https://doaj.org/article/f0b3c3d608184b67b8217d22571881dc
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 82, Iss 10, Pp 1-20 (2022)
Abstract We show how an inaccurate determination of experimental uncertainty correlations in high-precision LHC measurements may undermine the reliability of the associated $$\chi ^2$$ χ 2 . We formulate the problem rigorously, and devise a regulari
Externí odkaz:
https://doaj.org/article/867b9bf9fa2f4b8e834529411370b2ad
Autor:
Richard D. Ball, Stefano Carrazza, Juan Cruz-Martinez, Luigi Del Debbio, Stefano Forte, Tommaso Giani, Shayan Iranipour, Zahari Kassabov, Jose I. Latorre, Emanuele R. Nocera, Rosalyn L. Pearson, Juan Rojo, Roy Stegeman, Christopher Schwan, Maria Ubiali, Cameron Voisey, Michael Wilson
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 82, Iss 5, Pp 1-119 (2022)
Abstract We present a new set of parton distribution functions (PDFs) based on a fully global dataset and machine learning techniques: NNPDF4.0. We expand the NNPDF3.1 determination with 44 new datasets, mostly from the LHC. We derive a novel methodo
Externí odkaz:
https://doaj.org/article/cf770ba8c45e4e92ad3427830e45acc8
Autor:
NNPDF Collaboration, Richard D. Ball, Stefano Carrazza, Juan Cruz-Martinez, Luigi Del Debbio, Stefano Forte, Tommaso Giani, Shayan Iranipour, Zahari Kassabov, Jose I. Latorre, Emanuele R. Nocera, Rosalyn L. Pearson, Juan Rojo, Roy Stegeman, Christopher Schwan, Maria Ubiali, Cameron Voisey, Michael Wilson
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 81, Iss 10, Pp 1-12 (2021)
Abstract We present the software framework underlying the NNPDF4.0 global determination of parton distribution functions (PDFs). The code is released under an open source licence and is accompanied by extensive documentation and examples. The code ba
Externí odkaz:
https://doaj.org/article/a9ac57ce78a845eda3ef6e70c62686a8