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http://dx.doi.org/10.1103/physrevd.51.4783 | DOI Listing |
Phys Rev Lett
December 2024
Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA.
The transverse-momentum-dependent distributions (TMDs), which are defined by gauge-invariant 3D parton correlators with staple-shaped lightlike Wilson lines, can be calculated from quark and gluon correlators fixed in the Coulomb gauge on a Euclidean lattice. These quantities can be expressed gauge invariantly as the correlators of Coulomb-gauge-dressed fields, which reduce to the standard TMD correlators under principal-value prescription in the infinite boost limit. In the framework of large-momentum effective theory, a quasi-TMD defined from such correlators in a large-momentum hadron state can be matched to the TMD via a factorization formula, whose exact form is derived using soft collinear effective theory and verified at one-loop order.
View Article and Find Full Text PDFEur Phys J C Part Fields
December 2024
Department of Physics and Astronomy, University College London, London, WC1E 6BT UK.
Phys Rev Lett
December 2024
School of Physics, Peking University, Beijing 100871, China.
In recent years, energy correlators have emerged as a powerful tool to explore the field theoretic structure of strong interactions at particle colliders. In this Letter we initiate a novel study of the nonperturbative power corrections to the projected N-point energy correlators in the limit where the angle between the detectors is small. Using the light-ray operator product expansion as a guiding principle, we derive the power corrections in terms of two nonperturbative quantities describing the fragmentation of quarks and gluons.
View Article and Find Full Text PDFPhys Rev Lett
November 2024
The Institute of Mathematical Sciences, Taramani, 600113 Chennai, India.
PNAS Nexus
November 2024
Qatar Computing Research Institute, HBKU, 34110 Doha, Qatar.
The application of atificial intelligence (AI) in fundamental physics has faced limitations due to its inherently uninterpretable nature, which is less conducive to solving physical problems where natural phenomena are expressed in human-understandable language, i.e. mathematical equations.
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