CRUZ MARTINEZ, JUAN MANUEL
CRUZ MARTINEZ, JUAN MANUEL
Dipartimento di Fisica Aldo Pontremoli
Photons in the proton: implications for the LHC
2024 R.D. Ball, A. Barontini, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, F. Hekhorn, Z. Kassabov, N. Laurenti, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali
Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy
2024 R.D. Ball, A. Barontini, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, F. Hekhorn, Z. Kassabov, N. Laurenti, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali
Intrinsic charm quark valence distribution of the proton
2024 R.D. Ball, A. Candido, J. Cruz-Martinez, S. Forte, T. Giani, F. Hekhorn, G. Magni, E.R. Nocera, J. Rojo, R. Stegeman
Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy
2024 R.D. Ball, A. Barontini, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, F. Hekhorn, Z. Kassabov, N. Laurenti, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali
The path to $$\hbox {N}^3\hbox {LO}$$ parton distributions [The path to N3 LO parton distributions]
2024 R.D. Ball, A. Barontini, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, F. Hekhorn, Z. Kassabov, N. Laurenti, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali
Photons in the proton: implications for the LHC
2024 R.D. Ball, A. Barontini, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, F. Hekhorn, Z. Kassabov, N. Laurenti, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali
Evidence for intrinsic charm quarks in the proton
2022 R. Ball, A. Candido, J. Cruz Martinez, S. Forte, T. Giani, F. Hekhorn, K. Kudashkin, G. Magni, J. Rojo
A data-based parametrization of parton distribution functions
2022 S. Carrazza, C. Juan, R. Stegeman
Snowmass 2021 whitepaper: Proton structure at the precision frontier
2022 S. Amoroso, A. Apyan, N. Armesto, R.D. Ball, V. Bertone, C. Bissolotti, J. Bluemlein, R. Boughezal, G. Bozzi, D. Britzger, A. Buckley, A. Candido, S. Carrazza, F.G. Celiberto, S. Cerci, G. Chachamis, A.M. Cooper-Sarkar, A. Courtoy, T. Cridge, J.M. Cruz-Martinez, F. Giuli, M. Guzzi, C. Gwenlan, L.A. Harland-Lang, F. Hekhorn, T.J. Hobbs, S. Hoeche, A. Huss, J. Huston, J. Jalilian-Marian, M. Klein, G.K. Krintiras, C. Loizides, H.-. Lin, G. Magni, B. Malaescu, B. Mistlberger, S. Moch, P.M. Nadolsky, E.R. Nocera, F.I. Olness, F. Petriello, J. Pires, K. Rabbertz, J. Rojo, G. Schnell, C. Schwan, A. Siodmok, D.E. Soper, M. Sutton, R.S. Thorne, M. Ubiali, G. Vita, J.H. Weber, K. Xie, C.-. Yuan, B. Zhou
The path to proton structure at 1% accuracy
2022 R.D. Ball, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, S. Iranipour, Z. Kassabov, J.I. Latorre, E.R. Nocera, R.L. Pearson, J. Rojo, R. Stegeman, C. Schwan, M. Ubiali, C. Voisey, M. Wilson
An open-source machine learning framework for global analyses of parton distributions
2021 R.D. Ball, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, S. Iranipour, Z. Kassabov, J.I. Latorre, E.R. Nocera, R.L. Pearson, J. Rojo, R. Stegeman, C. Schwan, M. Ubiali, C. Voisey, M. Wilson
Determining the proton content with a quantum computer
2021 A. Pérez-Salinas, C. Juan, A.A. Alhajri, S. Carrazza
Towards the automation of Monte Carlo simulation on GPU for particle physics processes
2021 S. Carrazza, C. Juan, M. Rossi, M. Zaro
N3PDF/pycompressor
2021 T. Rabemananjara, J. Cruz-Martinez, S. Carrazza
Studying the parton content of the proton with deep learning models
2021 C. Juan, S. Carrazza, R. Stegeman
Compressing PDF sets using generative adversarial networks
2021 S. Carrazza, C. Juan, T.R. Rabemananjara
MadFlow: automating Monte Carlo simulation on GPU for particle physics processes
2021 S. Carrazza, C. Juan, M. Rossi, M. Zaro
PDFFlow: hardware accelerating parton density access
2021 M. Rossi, S. Carrazza, C. Juan
PDFFlow: Parton distribution functions on GPU
2021 S. Carrazza, C. Juan, M. Rossi
Future Tests of Parton Distributions
2021 J. Cruz Martinez, S. Forte, E. Nocera