Article
Physics, Particles & Fields
S. Bailey, T. Cridge, L. A. Harland-Lang, A. D. Martin, R. S. Thorne
Summary: The new MSHT20 set of parton distribution functions (PDFs) of the proton, determined from global analyses of hard scattering data, includes updates such as improved parameterizations, new precise data, and NNLO QCD corrections. The NNLO fit is strongly favored over the NLO due to wider range and increased precision of data included in the fit, resulting in reduced uncertainties in predictions for processes such as Higgs, top quark pair, and W, Z production at post LHC Run-II energies.
EUROPEAN PHYSICAL JOURNAL C
(2021)
Article
Physics, Particles & Fields
Fabrizio Caola, Frederic A. Dreyer, Ross W. McDonald, Gavin P. Salam
Summary: Top-quark pair production is crucial to LHC physics, with different event topologies characterized by a range of variables. In addition to the back-to-back topology, some events involve gluon splitting to t (t) over bar pairs. Additional features of events with large t (t) over bar invariant mass have significant experimental and theoretical implications.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Lucia Oliva, Salvatore Plumari, Vincenzo Greco
Summary: This study focuses on the directed flow v(1) of D mesons, discussing the impact of initial vorticity and electromagnetic field. It is highlighted that the large v(1) for D mesons is attributed to a different mechanism compared to light charged hadrons. The findings suggest that a longitudinal asymmetry between the bulk matter and charm quarks, as well as a large non-perturbative interaction in the QGP medium, are necessary for generating the very large v(1) for D mesons.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Luca Buonocore, Paolo Nason, Francesco Tramontano, Giulia Zanderighi
Summary: This study examines several basic photon and lepton-initiated processes at the LHC, utilizing recently developed photon and lepton parton densities for computation. The comparison of different calculation methods and their application in searching for exotic particles and observing Standard-Model processes are discussed.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Salim Cerci, Zuhal Seyma Demiroglu, Abhay Deshpande, Paul R. Newman, Barak Schmookler, Deniz Sunar Cerci, Katarzyna Wichmann
Summary: This study investigates the sensitivity to the strong coupling alpha S(MZ2) using existing data from HERA and future measurements from EIC. The results show that a potentially world-leading level of precision can be achieved by combining data from EIC and HERA.
EUROPEAN PHYSICAL JOURNAL C
(2023)
Article
Physics, Particles & Fields
Rene Poncelet, Andrei Popescu
Summary: The longitudinal polarization of weak bosons, a direct consequence of Electroweak symmetry breaking mechanism, was studied at NNLO in diboson production with a fiducial setup inspired by ATLAS measurements. The study, utilizing the double-pole approximation framework, investigates NNLO effects in differential distributions for the first time.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Herschel A. Chawdhry, Michal Czakon, Alexander Mitov, Rene Poncelet
Summary: The study calculates the NNLO QCD corrections for diphoton production with an additional jet at the LHC, improving the accuracy of predicting the transverse momentum distribution of the diphoton system. The results are expected to enhance understanding of the Higgs boson sector and the behavior of higher-order corrections in LHC processes.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Mathieu Pellen, Rene Poncelet, Andrei Popescu
Summary: This study investigates the polarisation of W-bosons produced in association with one jet at the LHC. The necessary theoretical elements for accurately extracting polarisation fractions are provided. New polarised predictions up to NNLO QCD accuracy using the narrow-width approximation are presented in inclusive and fiducial phase spaces. Results in the fiducial phase space are compared to a full off-shell computation and experimental data. Finally, the polarisation fractions are fitted using shape templates, demonstrating that NNLO corrections significantly improve their determination.
JOURNAL OF HIGH ENERGY PHYSICS
(2022)
Article
Physics, Particles & Fields
Wan-Li Ju, Marek Schonherr
Summary: The study aims to investigate the vector and axial-vector dynamics of the produced lepton pair by correlating them in two observables, the transverse momentum q(T) of the lepton pair and its azimuthal separation increment phi.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Michal Czakon, Alexander Mitov, Mathieu Pellen, Rene Poncelet
Summary: This study focuses on the production of a W boson in association with a c-jet at the LHC, calculating the complete set of NNLO QCD corrections for the dominant CKM-diagonal contribution to this process for the first time. Predictions are made for fiducial cross sections and differential distributions for both signatures, which are compared with ATLAS measurements at 7 TeV. The results are important for precise description of heavy flavor production at hadron colliders and determination of the strange-quark content of the proton from LHC data in NNLO QCD.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Thomas Gehrmann, Nigel Glover, Alexander Huss, James Whitehead
Summary: Precision measurements of diphoton distributions at the LHC show tension with theory predictions at next-to-next-to-leading order in QCD. This tension comes from the approximation of experimental photon isolation and the choice of scales. By comparing predictions with alternative scale choices and isolation prescriptions, improved agreement with experimental data is observed, highlighting the underestimated sources of theoretical uncertainty in scale choice and isolation prescription.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Andrea Banfi, Frederic A. Dreyer, Pier Francesco Monni
Summary: In this study, we present a solution to the long-standing problem of resummation for non-global QCD observables beyond the leading-logarithmic order. By numerically solving the non-linear differential equations that describe the evolution of soft radiation, we perform the first complete next-to-leading logarithmic calculation for non-global observables in the transverse energy distribution in the interjet rapidity region in e(+)e(-) -> dijet production. We find substantial NLL corrections that significantly reduce the perturbative scale uncertainties for these observables.
JOURNAL OF HIGH ENERGY PHYSICS
(2022)
Article
Physics, Particles & Fields
Simone Alioli, Alessandro Broggio, Matthew A. Lim
Summary: We study the resummation of the 0-jettiness resolution variable tau(0) for the top-quark pair production process in hadronic collisions. Starting from an effective theory framework, we derive a factorisation formula for this observable and calculate its corrections. By matching with fixed order calculations, we obtain the most accurate prediction for the process.
JOURNAL OF HIGH ENERGY PHYSICS
(2022)
Article
Physics, Particles & Fields
Goutam Das, M. C. Kumar, Kajal Samanta
Summary: The study focused on the NNLO QCD correction matched with NNLL for Drell-Yan production via spin-2 particle at the LHC, showing sizable corrections over a wide range of invariant mass of the lepton pair. The scale variation stabilizes at this order and reduces to 4%, providing ingredients for third-order SV prediction and implications for LHC searches.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Enrico Bothmann, Davide Napoletano, Marek Schonherr, Steffen Schumann, Simon Luca Villani
Summary: This paper studies the production of a pair of Z bosons at the LHC and includes EW corrections in theoretical predictions. By matching the exact NLO EW result with the resummed Sudakov logarithms, an improved NLO EW+ NLL EWsudexp result is obtained. The inclusion of the above EW corrections in MePs@Nlo event simulations is also discussed in the framework of the Sherpa event generator. Detailed phenomenological predictions for inclusive ZZ and ZZj production are presented, taking into account the dominant EW corrections through the EW virtual approximation and the (exponentiated) EW Sudakov logarithms.
JOURNAL OF HIGH ENERGY PHYSICS
(2022)
Article
Instruments & Instrumentation
Miguel Arratia, Anja Butter, Mario Campanelli, Vincent Croft, Dag Gillberg, Aishik Ghosh, Kristin Lohwasser, Bogdan Malaescu, Vinicius Mikuni, Benjamin Nachman, Juan Rojo, Jesse Thaler, Ramon Winterhalder
Summary: Machine learning tools have brought about a qualitatively new approach to differential cross section measurements, allowing for unbinned data in multiple dimensions. This type of measurement offers advantages in simplifying comparisons between experiments and theoretical predictions. While there is currently no standard for publishing unbinned data, recent advancements suggest that such measurements will become more common in the future. This paper proposes a scheme for presenting and utilizing unbinned results, aiming to establish a community standard and foster further developments in the field.
JOURNAL OF INSTRUMENTATION
(2022)
Article
Physics, Multidisciplinary
Kyle Cranmer, Sabine Kraml, Harrison B. Prosper, Philip Bechtle, Florian U. Bernlochner, Itay M. Bloch, Enzo Canonero, Marcin Chrzaszcz, Andrea Coccaro, Jan Conrad, Glen Cowan, Matthew Feickert, Nahuel F. Ferreiro, Andrew Fowlie, Lukas Heinrich, Alexander Held, Thomas Kuhr, Anders Kvellestad, Maeve Madigan, Farvah Mahmoudi, Knut D. Mora, Mark S. Neubauer, Maurizio Pierini, Juan Rojo, Sezen Sekmen, Luca Silvestrini, Veronica Sanz, Giordon Stark, Riccardo Torre, Robert Thorne, Wolfgang Waltenberger, Nicholas Wardle, Jonas Wittbrodt
Summary: The researchers present a scientific case for systematically publishing the full statistical models to enhance the impact of experimental results. They discuss the technical developments that make this practical and provide examples to illustrate the effectiveness of detailed statistical modeling in various physics cases.
Article
Chemistry, Physical
Abel Brokkelkamp, Jaco ter Hoeve, Isabel Postmes, Sabrya E. van Heijst, Louis Maduro, Albert Davydov, Sergiy Krylyuk, Juan Rojo, Sonia Conesa-Boj
Summary: This paper presents a novel strategy for measuring the band gap and complex dielectric function in two-dimensional materials with nanometer-scale resolution using machine learning techniques developed in particle physics. The approach allows for automated processing and interpretation of spectral images, and correlation of electrical properties with local thickness. The flexible method can be applied to other nanostructured materials and higher-dimensional spectroscopies.
JOURNAL OF PHYSICAL CHEMISTRY A
(2022)
Article
Physics, Nuclear
Richard D. Ball, Jon Butterworth, Amanda M. Cooper-Sarkar, Aurore Courtoy, Thomas Cridge, Albert De Roeck, Joel Feltesse, Stefano Forte, Francesco Giuli, Claire Gwenlan, Lucian A. Harland-Lang, T. J. Hobbs, Tie-Jiun Hou, Joey Huston, Ronan McNulty, Pavel M. Nadolsky, Emanuele R. Nocera, Tanjona R. Rabemananjara, Juan Rojo, Robert S. Thorne, Keping Xie, C-P Yuan
Summary: This article presents an updated global PDF fit, PDF4LHC21, which combines the CT18, MSHT20, and NNPDF3.1 sets using Monte Carlo methods. The new combination shows modest uncertainties reduction for key LHC processes compared to its predecessor, PDF4LHC15. Extensive benchmark studies are performed to understand the differences between the three global PDF sets. The phenomenological implications of PDF4LHC21 for a selection of cross sections at the LHC are also studied.
JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS
(2022)
Article
Multidisciplinary Sciences
Richard D. Ball, Alessandro Candido, Juan Cruz-Martinez, Stefano Forte, Tommaso Giani, Felix Hekhorn, Kirill Kudashkin, Giacomo Magni, Juan Rojo
Summary: This study provides evidence for the existence of intrinsic charm in the proton by utilizing a high-precision determination of the quark-gluon content of the nucleon based on machine learning and a large experimental dataset. The findings confirm the presence of intrinsic charm at a 3-standard-deviation level, with a momentum distribution in remarkable agreement with model predictions.
Article
Physics, Nuclear
Jonathan L. Feng, Felix Kling, Mary Hall Reno, Juan Rojo, Dennis Soldin, Luis A. Anchordoqui, Jamie Boyd, Ahmed Ismail, Lucian Harland-Lang, Kevin J. Kelly, Vishvas Pandey, Sebastian Trojanowski, Yu-Dai Tsai, Jean-Marco Alameddine, Takeshi Araki, Akitaka Ariga, Tomoko Ariga, Kento Asai, Alessandro Bacchetta, Kincso Balazs, Alan J. Barr, Michele Battistin, Jianming Bian, Caterina Bertone, Weidong Bai, Pouya Bakhti, A. Baha Balantekin, Basabendu Barman, Brian Batell, Martin Bauer, Brian Bauer, Mathias Becker, Asher Berlin, Enrico Bertuzzo, Atri Bhattacharya, Marco Bonvini, Stewart T. Boogert, Alexey Boyarsky, Joseph Bramante, Vedran Brdar, Adrian Carmona, David W. Casper, Francesco Giovanni Celiberto, Francesco Cerutti, Grigorios Chachamis, Garv Chauhan, Matthew Citron, Emanuele Copello, Jean-Pierre Corso, Luc Darme, Raffaele Tito D'Agnolo, Neda Darvishi, Arindam Das, Giovanni De Lellis, Albert De Roeck, Jordy de Vries, Hans P. Dembinski, Sergey Demidov, Patrick DeNiverville, Peter B. Denton, Frank F. Deppisch, P. S. Bhupal Dev, Antonia Di Crescenzo, Keith R. Dienes, Milind Diwan, Herbi K. Dreiner, Yong Du, Bhaskar Dutta, Pit Duwentaester, Lucie Elie, Sebastian A. R. Ellis, Rikard Enberg, Yasaman Farzan, Max Fieg, Ana Luisa Foguel, Patrick Foldenauer, Saeid Foroughi-Abari, Jean-Francois Fortin, Alexander Friedland, Elina Fuchs, Michael Fucilla, Kai Gallmeister, Alfonso Garcia, Carlos A. Garcia Canal, Maria Vittoria Garzelli, Rhorry Gauld, Sumit Ghosh, Anish Ghoshal, Stephen Gibson, Francesco Giuli, Victor P. Goncalves, Dmitry Gorbunov, Srubabati Goswami, Silvia Grau, Julian Y. Guenther, Marco Guzzi, Andrew Haas, Timo Hakulinen, Steven P. Harris, Julia Harz, Juan Carlos Helo Herrera, Christopher S. Hill, Martin Hirsch, Timothy J. Hobbs, Stefan Hoche, Andrzej Hryczuk, Fei Huang, Tomohiro Inada, Angelo Infantino, Ameen Ismail, Richard Jacobsson, Sudip Jana, Yu Seon Jeong, Yongsoo Jho, Dmitry Kalashnikov, Timo J. Karkkainen, Cynthia Keppel, Jongkuk Kim, Michael Klasen, Spencer R. Klein, Pyungwon Ko, Dominik Koehler, Masahiro Komatsu, Karol Kovarik, Suchita Kulkarni, Jason Kumar, Karan Kumar, Jui-Lin Kuo, Frank Krauss, Aleksander Kusina, Maxim Laletin, Chiara Le Roux, Seung J. Lee, Hye-Sung Lee, Helena Lefebvre, Jinmian Li, Shuailong Li, Yichen Li, Wei Liu, Zhen Liu, Mickael Lonjon, Kun-Feng Lyu, Rafal Maciula, Roshan Mammen Abraham, Mohammad R. Masouminia, Josh McFayden, Oleksii Mikulenko, Mohammed M. A. Mohammed, Kirtimaan A. Mohan, Jorge G. Morfin, Ulrich Mosel, Martin Mosny, Khoirul F. Muzakka, Pavel Nadolsky, Toshiyuki Nakano, Saurabh Nangia, Angel Navascues Cornago, Laurence J. Nevay, Pierre Ninin, Emanuele R. Nocera, Takaaki Nomura, Rui Nunes, Nobuchika Okada, Fred Olness, John Osborne, Hidetoshi Otono, Maksym Ovchynnikov, Alessandro Papa, Junle Pei, Guillermo Peon, Gilad Perez, Luke Pickering, Simon Plaetzer, Ryan Plestid, Tanmay Kumar Poddar, Pablo Quilez, Mudit Rai, Meshkat Rajaee, Digesh Raut, Peter Reimitz, Filippo Resnati, Wolfgang Rhode, Peter Richardson, Adam Ritz, Hiroki Rokujo, Leszek Roszkowski, Tim Ruhe, Richard Ruiz, Marta Sabate-Gilarte, Alexander Sandrock, Ina Sarcevic, Subir Sarkar, Osamu Sato, Christiane Scherb, Ingo Schienbein, Holger Schulz, Pedro Schwaller, Sergio J. Sciutto, Dipan Sengupta, Lesya Shchutska, Takashi Shimomura, Federico Silvetti, Kuver Sinha, Torbjorn Sjostrand, Jan T. Sobczyk, Huayang Song, Jorge F. Soriano, Yotam Soreq, Anna Stasto, David Stuart, Shufang Su, Wei Su, Antoni Szczurek, Zahra Tabrizi, Yosuke Takubo, Marco Taoso, Brooks Thomas, Pierre Thonet, Douglas Tuckler, Agustin Sabio Vera, Heinz Vincke, K. N. Vishnudath, Zeren Simon Wang, Martin W. Winkler, Wenjie Wu, Keping Xie, Xun-Jie Xu, Tevong You, Ji-Young Yu, Jiang-Hao Yu, Korinna Zapp, Yongchao Zhang, Yue Zhang, Guanghui Zhou, Renata Zukanovich Funchal
Summary: High energy collisions at the High-Luminosity Large Hadron Collider (LHC) produce a large number of particles beyond the acceptance of existing experiments. The proposed Forward Physics Facility (FPF) will host experiments to probe standard model processes and search for physics beyond the standard model (BSM). FPF experiments will explore BSM physics through searches for new particle scattering or decay signatures and deviations from SM expectations in a low-background environment.
JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS
(2023)
Article
Physics, Particles & Fields
Raquel Gomez Ambrosio, Jaco ter Hoeve, Maeve Madigan, Juan Rojo, Veronica Sanz
Summary: In this work, we develop a flexible open source framework, ML4EFT, to integrate unbinned multivariate observables into global SMEFT fits, thus enhancing the sensitivity to the theory parameters. We combine machine learning regression and classification techniques to parameterize high-dimensional likelihood ratios and estimate methodological uncertainties using the Monte Carlo replica method. We demonstrate the impact of unbinned multivariate observables on the SMEFT parameter space and study the improved constraints associated with multivariate inputs.
JOURNAL OF HIGH ENERGY PHYSICS
(2023)
Article
Physics, Particles & Fields
Alessandro Candido, Alfonso Garcia, Giacomo Magni, Tanjona Rabemananjara, Juan Rojo, Roy Stegeman
Summary: Accurate theoretical predictions for neutrino-nucleus scattering rates are crucial for interpreting present and future neutrino experiments. Neutrino structure functions can be evaluated reliably in the deep-inelastic scattering regime using the perturbative QCD framework. However, at low momentum transfers, there are large uncertainties in the inelastic structure functions, which affect event rate predictions for neutrino energies up to the TeV scale.
JOURNAL OF HIGH ENERGY PHYSICS
(2023)
Article
Physics, Particles & Fields
Zahari Kassabov, Maeve Madigan, Luca Mantani, James Moore, Manuel Morales Alvarado, Juan Rojo, Maria Ubiali
Summary: This study assesses the impact of top quark production at the LHC on global analyses of parton distributions (PDFs) and Wilson coefficients in the SMEFT, both separately and in a joint interpretation. The study uses the broadest top quark dataset to date, including all available measurements based on the full Run II luminosity. The research determines constraints on the large-x gluon PDF and evaluates its consistency with other gluon-sensitive measurements. It also carries out a SMEFT interpretation of the dataset, resulting in bounds on 25 Wilson coefficients modifying top quark interactions.
JOURNAL OF HIGH ENERGY PHYSICS
(2023)
Article
Physics, Multidisciplinary
Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger, Sascha Caron, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Stefano Forte, Sanmay Ganguly, Dorival Goncalves, Eilam Gross, Theo Heimel, Gudrun Heinrich, Lukas Heinrich, Alexander Held, Stefan Hoche, Jessica N. Howard, Philip Ilten, Joshua Isaacson, Timo Janssen, Stefan Jones, Marumi Kado, Michael Kagan, Gregor Kasieczka, Felix Kling, Sabine Kraml, Claudius Krause, Frank Krauss, Kevin Kroeninger, Rahool Kumar Barman, Michel Luchmann, Vitaly Magerya, Daniel Maitre, Bogdan Malaescu, Fabio Maltoni, Till Martini, Olivier Mattelaer, Benjamin Nachman, Sebastian Pitz, Juan Rojo, Matthew Schwartz, David Shih, Frank Siegert, Roy Stegeman, Bob Stienen, Jesse Thaler, Rob Verheyen, Daniel Whiteson, Ramon Winerhalder, Jure Zupan
Summary: First-principle simulations play a crucial role in high-energy physics research, connecting the data output of multipurpose detectors with fundamental theory predictions. This review demonstrates the various applications of modern machine learning in event generation and simulation-based inference, showing conceptual developments driven by the specific requirements of particle physics. The development of new ideas and tools at the interface of particle physics and machine learning will improve the speed and precision of forward simulations, handle the complexity of collision data, and enhance inference as an inverse simulation problem.
Article
Physics, Particles & Fields
Tommaso Giani, Giacomo Magni, Juan Rojo
Summary: The Standard Model Effective Field Theory (SMEFT) is a robust framework for interpreting experimental measurements without making assumptions about the underlying UV-complete theory. In this study, the Python open source SMEFiT framework is introduced for parameter inference and global analysis of particle physics data in the SMEFT. SMEFiT allows for inference problems with a large number of EFT degrees of freedom, unrestricted functional dependence in the fitted observables, inclusion of UV-inspired restrictions in the parameter space, and arbitrary rotations between operator bases. Posterior distributions are determined using Nested Sampling and Monte Carlo optimization. SMEFiT provides documentation, tutorials, and post-analysis reporting tools and can be used for state-of-the-art EFT fits of Higgs, top quark, and electroweak production data. The results of the recent ATLAS EFT interpretation of Higgs and electroweak data from Run II are reproduced to illustrate the functionalities, showing that equivalent results are obtained in two different operator bases.
EUROPEAN PHYSICAL JOURNAL C
(2023)
Article
Microscopy
Helena La, Abel Brokkelkamp, Stijn van der Lippe, Jaco ter Hoeve, Juan Rojo, Sonia Conesa-Boj
Summary: Among the potential applications of topological insulator materials, the development of tunable plasmonics at THz and mid-infrared frequencies for quantum computing, terahertz detectors, and spintronic devices is particularly attractive. However, understanding the relationship between nanoscale crystal structure and the properties of plasmonic resonances remains elusive. In this study, energy-gain EELS analysis was used to characterize collective excitations in the topological insulator material Bi2Te3 and correlate them with the underlying crystalline structure. The findings demonstrate the potential of energy-gain EELS analysis in accurately mapping collective excitations in quantum materials, which is crucial for the development of new tunable plasmonic devices.
Article
Physics, Particles & Fields
Richard D. Ball, Alessandro Candido, Stefano Forte, Felix Hekhorn, Emanuele R. Nocera, Juan Rojo, Christopher Schwan
Summary: This article discusses the sensitivity of theoretical predictions and observables used in the search for new physics to large momentum fraction x of parton distributions (PDFs). Specifically, it examines the neutral-current Drell-Yan production of gauge bosons with TeV range invariant masses and shows that different PDF sets exhibit significant differences in their behavior at large x. This implies that the shape of the observed asymmetry at high masses may depend on assumptions made in the PDF parametrization, and thus deviations from the expected behavior cannot reliably indicate new physics. The article also explores the accuracy required in measuring forward-backward asymmetry to constrain PDFs at large x and disentangle new physics effects from PDF uncertainties in this region.
EUROPEAN PHYSICAL JOURNAL C
(2022)
Article
Physics, Particles & Fields
Rabah Abdul Khalek, Rhorry Gauld, Tommaso Giani, Emanuele R. Nocera, Tanjona R. Rabemananjara, Juan Rojo
Summary: This paper presents an updated determination of nuclear parton distributions (nPDFs) through a global NLO QCD analysis of hard processes. It takes into account data from fixed-target lepton-nucleus and proton-nucleus experiments as well as collider proton-nucleus experiments. The constraints from various measurements are considered for the first time in a global nPDF analysis and applied to both the nuclear PDFs and the free-proton PDF baseline. The results show evidence of nuclear-induced modifications to the partonic structure of heavy nuclei and have important implications for ongoing and future experimental programs.
EUROPEAN PHYSICAL JOURNAL C
(2022)
Article
Physics, Particles & Fields
Richard D. Ball, Stefano Carrazza, Juan Cruz-Martinez, Luigi Del Debbio, Stefano Forte, Tommaso Giani, Shayan Iranipour, Zahari Kassabov, Jose Latorre, Emanuele R. Nocera, Rosalyn L. Pearson, Juan Rojo, Roy Stegeman, Christopher Schwan, Maria Ubiali, Cameron Voisey, Michael Wilson
Summary: We present NNPDF4.0, a new set of parton distribution functions (PDFs) based on a global dataset and machine learning techniques. The methodology includes the expansion of the dataset, optimization of hyperparameters, and the implementation of theoretical improvements. The results have been validated through closure tests and analyzed for their dependence on input choices. The implications of NNPDF4.0 on LHC processes have also been studied.
EUROPEAN PHYSICAL JOURNAL C
(2022)
