Zobrazeno 1 - 10
of 2 145
pro vyhledávání: '"Cruz Martínez A"'
Autor:
Cruz-Martinez, Juan, Forte, Stefano, Laurenti, Niccolo, Rabemananjara, Tanjona R., Rojo, Juan
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 c
Externí odkaz:
http://arxiv.org/abs/2406.12961
Autor:
The NNPDF Collaboration, Ball, Richard D., Barontini, Andrea, Candido, Alessandro, Carrazza, Stefano, Cruz-Martinez, Juan, Del Debbio, Luigi, Forte, Stefano, Giani, Tommaso, Hekhorn, Felix, Kassabov, Zahari, Laurenti, Niccolò, Magni, Giacomo, Nocera, Emanuele R., Rabemananjara, Tanjona R., Rojo, Juan, Schwan, Christopher, Stegeman, Roy, Ubiali, Maria
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
Externí odkaz:
http://arxiv.org/abs/2402.18635
Autor:
The NNPDF Collaboration, Ball, Richard D., Barontini, Andrea, Candido, Alessandro, Carrazza, Stefano, Cruz-Martinez, Juan, Del Debbio, Luigi, Forte, Stefano, Giani, Tommaso, Hekhorn, Felix, Kassabov, Zahari, Laurenti, Niccolò, Magni, Giacomo, Nocera, Emanuele R., Rabemananjara, Tanjona R., Rojo, Juan, Schwan, Christopher, Stegeman, Roy, Ubiali, Maria
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 treatme
Externí odkaz:
http://arxiv.org/abs/2401.10319
Autor:
The NNPDF Collaboration, Ball, Richard D., Barontini, Andrea, Candido, Alessandro, Carrazza, Stefano, Cruz-Martinez, Juan, Del Debbio, Luigi, Forte, Stefano, Giani, Tommaso, Hekhorn, Felix, Kassabov, Zahari, Laurenti, Niccolò, Magni, Giacomo, Nocera, Emanuele R., Rabemananjara, Tanjona R., Rojo, Juan, Schwan, Christopher, Stegeman, Roy, Ubiali, Maria
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) a
Externí odkaz:
http://arxiv.org/abs/2401.08749
Autor:
Ball, Richard D., Candido, Alessandro, Cruz-Martinez, Juan, Forte, Stefano, Giani, Tommaso, Hekhorn, Felix, Magni, Giacomo, Nocera, Emanuele R., Rojo, Juan, Stegeman, Roy
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. A significant nonvanishing valence component cann
Externí odkaz:
http://arxiv.org/abs/2311.00743
Autor:
Cruz-Martinez, Juan M., Fieg, Max, Giani, Tommaso, Krack, Peter, Mäkelä, Toni, Rabemananjara, Tanjona, Rojo, Juan
Proton-proton collisions at the LHC generate a high-intensity collimated beam of neutrinos in the forward (beam) direction, characterised by energies of up to several TeV. The recent observation of LHC neutrinos by FASER$\nu$ and SND@LHC signals that
Externí odkaz:
http://arxiv.org/abs/2309.09581
Publikováno v:
Quantum Sci.Technol. 9 (2024) 3, 035053
In this work we present a novel strategy to evaluate multi-variable integrals with quantum circuits. The procedure first encodes the integration variables into a parametric circuit. The obtained circuit is then derived with respect to the integration
Externí odkaz:
http://arxiv.org/abs/2308.05657
A reliable determination of probability density functions from data samples is still a relevant topic in scientific applications. In this work we investigate the possibility of defining an algorithm for density function estimation using adiabatic qua
Externí odkaz:
http://arxiv.org/abs/2303.11346
Autor:
Barontini, Andrea, Candido, Alessandro, Cruz-Martinez, Juan M., Hekhorn, Felix, Schwan, Christopher
Continuously comparing theory predictions to experimental data is a common task in analysis of particle physics such as fitting parton distribution functions (PDFs). However, typically, both the computation of scattering amplitudes and the evolution
Externí odkaz:
http://arxiv.org/abs/2303.07119
Autor:
Barontini, Andrea, Candido, Alessandro, Cruz-Martinez, Juan M., Hekhorn, Felix, Schwan, Christopher
Publikováno v:
Comput.Phys.Commun. 297 (2024) 109061
We present a collection of tools automating the efficient computation of large sets of theory predictions for high-energy physics. Calculating predictions for different processes often require dedicated programs. These programs, however, accept input
Externí odkaz:
http://arxiv.org/abs/2302.12124