Article
Physics, Multidisciplinary
Zheng-Yang Li, Yan-Qing Ma, Jian-Wei Qiu
Summary: This study introduces complete next-to-next-to-leading-order coefficient functions to match flavor nonsinglct quark correlation functions in position space to parton distribution functions (PDFs), making predictions for valence-quark correlation functions. By performing Fourier transformation, matching coefficients for corresponding quasi-PDFs and pseudo-PDFs are obtained. The calculations can be generalized to evaluate matching coefficients for sea-quark and gluon correlation functions.
PHYSICAL REVIEW LETTERS
(2021)
Article
Physics, Nuclear
A. B. Arbuzov, U. E. Voznaya
Summary: This article presents perturbative solutions for unpolarized QED parton distribution and fragmentation functions explicitly, using the next-to-leading logarithmic approximation. The scheme of iterative solution for QED evolution equations is described in detail. Analytical calculations are performed for terms up to (alpha3L2), where L=ln(mu F2/me2) is the large logarithm depending on the factorization energy scale mu F >> me. The results are process independent and have relevance for future high-precision experiments.
JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS
(2023)
Article
Physics, Particles & Fields
Ming-xing Luo, Tong-Zhi Yang, Hua Xing Zhu, Yu Jiao Zhu
Summary: In this paper, we analytically calculate the perturbative matching coefficients for unpolarized quark and gluon Transverse-Momentum-Dependent (TMD) Parton Distribution Functions (PDFs) and Fragmentation Functions (FFs) through Next-to-Next-to-Next-to-Leading Order ((NLO)-L-3) in QCD. Our results provide important ingredients for the precision determination of TMD PDFs and FFs in current and future experiments.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Astronomy & Astrophysics
L. Albino, I. M. Higuera-Angulo, K. Raya, A. Bashir
Summary: We have developed a unified algebraic model to describe the internal structure of pions, kaons, and heavy quarkonia (η(c) and η(b)). By computing the generalized parton distributions (GPDs), we obtain the three-dimensional knowledge of these mesons and deduce the parton distribution functions (PDFs) and electromagnetic form factors. We also construct the impact parameter space GPDs. Comparisons with experimental results and previous theoretical predictions have been made to validate our calculations.
Article
Physics, Particles & Fields
Robert Edwards, Colin Egerer, Joseph Karpie, Nikhil Karthik, Christopher Monahan, Wayne Morris, Kostas Orginos, Anatoly Radyushkin, David Richards, Eloy Romero, Raza Sabbir Sufian, Savvas Zafeiropoulos
Summary: In this study, the non-singlet helicity quark parton distribution functions (PDFs) of the nucleon are determined using lattice QCD and pseudo-distributions. By analyzing the space-like matrix elements and considering the short-distance behavior, the desired PDF is obtained while accounting for additional contamination. The helicity PDFs, as well as various sources of systematic error, are determined by characterizing the computed pseudo-distribution in a basis of Jacobi polynomials.
JOURNAL OF HIGH ENERGY PHYSICS
(2023)
Article
Physics, Particles & Fields
Zhi-Fu Deng, Wei Wang, Jun Zeng
Summary: In this study, the TMD factorization of the form factor is proved using expansion by regions, and O(alpha(s)) perturbative corrections to the hard functions are calculated. The effects from the one-loop matching kernel are estimated using lattice data on quasi-TMDWFs.
JOURNAL OF HIGH ENERGY PHYSICS
(2022)
Article
Astronomy & Astrophysics
Ignacio Borsa, Daniel de Florian, Ivan Pedron
Summary: This article calculates the fully differential single-jet production in longitudinally polarized deep inelastic scattering (DIS) at next-to-next-to-leading-order (NNLO) accuracy, including both neutral-current and charged-current processes. The computation is performed using the projection-to-Born method, with the next-to-leading-order dijet calculation and the NNLO DIS structure functions as the main components. The article also analyzes its phenomenological consequences in the kinematics of the future Electron-Ion Collider.
Article
Computer Science, Artificial Intelligence
Shane Lubold, Clark N. Taylor
Summary: This article presents a general and intuitive definition of conservativeness applicable to any probability distribution. By studying the possibilities and limitations of conservativeness during data fusion, it improves understanding of data fusion methods for general PDFs.
INFORMATION FUSION
(2022)
Article
Physics, Particles & Fields
Z. Badieian Baghsiyahi, M. Modarres, R. Kord Valeshabadi
Summary: In this work, we discuss the ratios of different parton distribution functions (PDFs) and corresponding unintegrated parton distribution functions (UPDFs) sets, and their impact on proton k(t)-factorization structure functions. The results show that there is not much difference between the different input-PDFs or corresponding UPDFs sets ratios. By comparing with experimental data, reasonable agreement is found considering different input PDFs sets. The average transverse momentum is obtained by fitting a Gaussian function, which is consistent with predictions from other research groups. Finally, we explore the average transverse momentum that is consistent between the results of the proton structure function with KMR UPDFs and the Gaussian k(t)-dependent.
EUROPEAN PHYSICAL JOURNAL C
(2022)
Article
Physics, Nuclear
Marzieh Mottaghizadeh, Fatemeh Taghavi-Shahri
Summary: In this study, researchers conducted a phenomenological investigation of parton distribution functions based on the valon model, considering the coupling between QCD and QED. They found that in the region of large invariant mass for di-leptons, various luminosity combinations tend to approach the luminosity involving photons, suggesting potentially significant phenomenological implications.
EUROPEAN PHYSICAL JOURNAL A
(2021)
Article
Physics, Particles & Fields
Kari J. Eskola, Petja Paakkinen, Hannu Paukkunen, Carlos A. Salgado
Summary: We present an updated global analysis of collinearly factorized nuclear parton distribution functions (PDFs) at next-to-leading order in perturbative QCD, including more data from proton-lead collisions and Jefferson Lab measurements. The analysis provides better-constrained gluon distributions and confirms the presence of shadowing and antishadowing effects in large nuclei. The uncertainties of nuclear PDFs due to the errors in the baseline proton PDFs are explored within the Hessian framework.
EUROPEAN PHYSICAL JOURNAL C
(2022)
Article
Astronomy & Astrophysics
Rabah Abdul Khalek, Valerio Bertone, Emanuele R. Nocera
Summary: In this study, a neural network parameterization is used to determine unpolarized charged-pion fragmentation functions from e(+)e(-) annihilation and lepton-nucleon SIDIS data. Uncertainties on the FFs are calculated using Monte Carlo sampling and theoretical predictions for observables are computed to next-to-leading order accuracy in perturbative QCD. The research explores the flavor sensitivity of SIDIS measurements to determine a minimally biased set of FF combinations.
Article
Physics, Particles & Fields
Zhong-Bo Kang, Kajal Samanta, Ding Yu Shao, Yang-Li Zeng
Summary: We introduce new threshold-TMD distribution functions using the joint threshold and TMD factorization theorem and perform QCD evolution for these functions using Soft-Collinear Effective Theory and renormalization group methods. The universality of threshold-TMD functions among different standard processes is demonstrated, and numerical predictions for these functions in experiments are presented.
JOURNAL OF HIGH ENERGY PHYSICS
(2023)
Article
Physics, Particles & Fields
Joseph Karpie, Kostas Orginos, Anatoly Radyushkin, Savvas Zafeiropoulos
Summary: In this study, continuum limit results for the unpolarized parton distribution function of the nucleon in lattice QCD are presented. The pseudo-PDF approach with Short Distance Factorization was utilized for the first time, and findings were compared with phenomenological determinations. The sGEVP technique was employed to optimize control over excited state contamination in calculations.
JOURNAL OF HIGH ENERGY PHYSICS
(2021)
Article
Physics, Particles & Fields
Chao Han, Yushan Su, Wei Wang, Jia-Lu Zhang
Summary: This article proposes a hybrid scheme to renormalize quasi distribution amplitudes of a light baryon on the lattice, which combines the self-renormalization and ratio scheme. This method effectively deals with UV divergences and linear divergences, and helps to study the distribution amplitudes of a light baryon.
JOURNAL OF HIGH ENERGY PHYSICS
(2023)
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.
Review
Physics, Multidisciplinary
Huey-Wen Lin
Summary: In recent years, there have been significant advancements in hadron structure through the use of lattice QCD. These advancements include improvements in hadron charges, form factors, and moments by eliminating lattice artifacts with the continuum-physical limit. Moreover, a breakthrough has been made in calculating the Bjorken-x dependence of parton distribution functions (PDFs) using large-momentum effective theory in lattice QCD, leading to direct calculations of Bjorken-x dependent structure.
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
Astronomy & Astrophysics
C. Alexandrou, S. Bacchio, M. Constantinou, P. Dimopoulos, J. Finkenrath, R. Frezzotti, K. Hadjiyiannakou, K. Jansen, B. Kostrzewa, G. Koutsou, G. Spanoudes, C. Urbach
Summary: We present the first calculation of the Mellin moments of the transverse quark spin densities in the nucleon using lattice QCD simulations with physical values of the pion mass and in the continuum limit. The densities are extracted from the unpolarized and transversity generalized form factors. The determination confirms a negative and large Boer-Mulders function, h⊥1, in the nucleon, with the isovector tensor anomalous magnetic moment kappa T = 1.051(94).
Article
Physics, Particles & Fields
J. McGowan, T. Cridge, L. A. Harland-Lang, R. S. Thorne
Summary: We present the first global analysis of parton distribution functions (PDFs) at approximate (NLO)-L-3 in the strong coupling constant alpha s, extending beyond the current highest NNLO achieved in PDF fits. We demonstrate how using the currently available knowledge surrounding the next highest order ((NLO)-L-3) in alpha s can provide consistent, justifiable and explainable approximate (NLO)-L-3 (aN(3)LO) PDFs. We show that these PDFs can be used to study the impact of using aN(3)LO PDFs on the LHC production of a Higgs boson at this order.
EUROPEAN PHYSICAL JOURNAL C
(2023)
Article
Astronomy & Astrophysics
Zhouyou Fan, Huey-Wen Lin, Matthew Zeilbeck
Summary: In this study, we present the nonperturbatively renormalized nucleon gluon momentum fraction using ensembles with 2 + 1 + 1 flavors of highly improved staggered quarks (HISQ) generated by the MILC Collaboration. The renormalization is done using RI/MOM nonperturbative renormalization and CDER technique. The extrapolation of the gluon momentum fraction to the continuum-physical limit shows consistency with other recent lattice-QCD results at physical pion mass.
Article
Physics, Particles & Fields
A. Kusina, Z. Was
Summary: This paper discusses the issue of systematic errors in Photos Monte Carlo simulations and how to validate them by comparing with other generators. It is found that the differences between Photos and MadGraph results in certain phase space regions do not exceed a few percent, which is encouraging for the precise calculation of realistic observables.
EUROPEAN PHYSICAL JOURNAL C
(2023)
Article
Astronomy & Astrophysics
Martha Constantinou, Haralambos Panagopoulos
Summary: In this paper, an improved regularization-independent (RI)-type prescription is presented for the nonperturbative renormalization of gauge-invariant nonlocal operators. This method involves subtracting finite lattice spacing effects calculated in lattice perturbation theory to improve the nonperturbative vertex function. The approach is versatile, applicable to various fermion and gluon actions, and different types of nonlocal operators.
Article
Computer Science, Interdisciplinary Applications
Travis Whyte, Andreas Stathopoulos, Eloy Romero, Kostas Orginos
Summary: The calculation of disconnected diagram contributions in Lattice QCD is computationally expensive. This article presents a sampling and interpolation scheme that can predict the variances associated with Frequency Splitting under displacements of the lattice, and selects shifts that minimize the cost for trace estimation.
COMPUTER PHYSICS COMMUNICATIONS
(2024)
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.
