Conveners
Parallel I: Parallel I
- Zhite Yu (Jefferson Lab)
Parallel I: Parallel I
- Joe Karpie
Parallel I: Parallel I
- Yuxun Guo (Lawrence Berkeley National Lab)
Parallel I: Parallel I
- Chiara Bissolotti (Argonne National Laboratory)
Parallel I: Parallel I
- Swagato Mukherjee (Brookhaven National Laboratory)
Parallel I: Parallel I
- Michael Wagman (FNL)
Parallel I: Parallel
- Eric Moffat (Argonne National Lab)
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Kiminad Mamo (William and Mary)5/19/25, 2:00 PM
Generalized parton distributions (GPDs) are accessible through experimental processes such as deep virtual Compton scattering (DVCS) and deep virtual meson production (DVMP). Extracting GPDs directly from Compton form factors is complicated by the inherent ambiguity of deconvolution when parametrizing GPDs directly in momentum fraction $x$-space using double distributions. To overcome this...
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Jakob Schoenleber (Brookhaven National Laboratory)5/19/25, 2:30 PM
We discuss all-order factorization for the virtual Compton process at next-to-leading power (NLP) in the $\Lambda_{\rm QCD}/Q$ and $\sqrt{-t}/Q$ expansion (twist-3), both in the double-deeply-virtual case and the single-deeply-virtual case. We use the soft-collinear effective theory (SCET) as the main theoretical tool. We conclude that collinear factorization holds in the double-deeply virtual...
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Florian Hechenberger (Stony Brook University)5/19/25, 3:00 PM
We extend the formalism of Phys.Rev.Lett. 133 (2024) 24, 241901 to helicity generalized parton distributions (GPDs) with the skewness dependence modeled by t-channel exchanges of spin-j operators in AdS space. Based on the conformal moment expansion, the GPDs are obtained through Mellin-Barnes integrals which bypass the convolution problem and are valid for all values of the skewness...
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Bailing Ma (Argonne Natioinal Lab)5/19/25, 4:00 PM
Zero mode issue in the minus-minus component calculation of the transition form factors in the light-front dynamics Among the three forms of Hamiltonian dynamics Dirac proposed in 1949, the light-front dynamics (LFD) has the most kinematical Poincare operators. In particular, the longitudinal boost operator becomes kinematical in the LFD. The LFD has very distinct vacuum properties, leading to...
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Victor Martinez-Fernandez5/19/25, 4:30 PM
Quantum Chromodynamics (QCD) is the theoretical framework to study hadrons by means of their fundamental degrees of freedom, i.e.~quarks and gluons, collectively referred to as partons. QCD defines many types of distributions describing a given hadron in terms of partons. For the purposes of this talk, we are interested in the so-called generalized parton distributions (GPDs) which are...
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John Terry (Los Alamos National Lab)5/20/25, 2:00 PM
In this talk, I will discuss recent advances in our ability to image parton distribution functions (PDFs) in bound nucleons. I will review topics from last year’s QCD Evolution workshop, such as methods for extracting nuclear-modified PDFs and TMDs. Additionally, I will discuss perturbative approaches that show how the evolution of TMD PDFs in Drell-Yan (p+A) collisions follows a BFKL...
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Marston Copeland (Duke University)5/20/25, 2:30 PM
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Alejandro Bris (Universidad Complutense Madrid)5/20/25, 3:30 PM
In this work we explore the possibilities to obtain the values of the CollinsSoper kernel and the strong coupling constant offered by what so far is the highest order result ever achieved in perturbation theory, that is for the energy correlators in the back-to-back limit at $N^4LL+N^3LO$.
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The cross-section was implemented within ARTEMIDE’s code, using the $\zeta$-prescription for the... -
Sara Piloneta5/20/25, 4:00 PM
I will present the study of the DY and SIDIS structure functions within the TMD factorization theorem with the inclusion of Kinematic Power Corrections (KPCs). This new theory allows the description of previously theoretically inaccessible parts of the cross-section in a Lorentz invariant manner using only twist-two TMD distributions. Examples of application include Drell-Yan angular...
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Michael Wagman (FNL)5/22/25, 2:00 PM
Pion and nucleon operators with spin structures inspired by light-cone physics and perturbative QCD have recently been discovered to have kinematically enhanced ground-state overlap and signal-to-noise in lattice QCD calculations with large momentum. I will discuss the physics of these operators and exploratory lattice QCD results for parton structure functions using these new operators.
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Christopher Chamness (The College of William & Mary)5/22/25, 2:30 PM
I will present on the extraction of disconnected contribution to the isoscalar matrix elements for light and strange quarks for the proton using Lattice QCD. While the connected contributions dominate the disconnected contributions are non-zero and must be considered to properly determine the matrix elements. In the case of the strange quark, there is no connected contribution, thus it is...
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Alexandru Sturzu5/22/25, 4:00 PM
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Xiang Gao (BNL&Tsinghua University)5/22/25, 4:30 PM
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Alberto Accardi (Christopher Newport U. and Jefferson Lab)5/23/25, 2:00 PM
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Richard Whitehill (Old Dominion University / Jefferson Lab)5/23/25, 2:30 PM
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Saraswati Pandey (Banaras Hindu University)5/23/25, 3:00 PM
From polarized Deep Inelastic scattering (DIS) asymmetries, and cross-section data, it is possible to extract the polarized structure functions g1 and g2. In the Parton model picture of proton, the structure function g1p is expressed in terms of g1p = ∆Σ + ∆G, the net quark and gluon helicity contributions to the proton spin. This spin structure function can also be used to understand the...
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Raj Kishore (IIT Bombay)
A proper transverse momentum-dependent (TMD) factorization for quarkonium production at low transverse momentum necessitates the convolution of the TMD parton distribution function (TMDPDF) with an additional transverse momentum-dependent function, known as the TMD shape function (TMDShF). We present a phenomenological study of the impact of the TMDShF on quarkonium production in...
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Daniel Kovner (William & Mary)
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Mia Liu
Artificial Intelligence advancement in the last decade can boost the discovery potential in modern science experiments. Bringing AI to the data creation of large complex science instruments opens up new possibilities for discoveries that are currently inaccessible. To harness unprecedented data at current and future nuclear physics experiments, paradigm shifting search strategies and...
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