NLO corrections to the deeply virtual meson production revisited: impact on the extraction of generalized parton distributions

Authors: Marija Čuić, Goran Duplančić, Krešimir Kumerički, Kornelija Passek-K.

36 pages, 13 figures

Results of the summarizing process for the arXiv paper: 2310.13837v1

  • Comprehensive Summary
  • Key points
  • Layman's Summary
  • Blog article
In their paper titled "NLO Corrections to Deeply Virtual Meson Production Revisited: Impact on the Extraction of Generalized Parton Distributions," authors Marija Čuić, Goran Duplančić, Krešimir Kumerički, and Kornelija Passek-K. delve into the realm of perturbative QCD corrections at next-to-leading order (NLO) for the deeply virtual meson production (DVMP) process. Their study not only explores the phenomenology of DVMP in isolation but also delves into a multichannel fit that combines DVMP with deeply virtual Compton scattering (DVCS). Utilizing the conformal partial wave (CPaW) formalism, the authors are able to incorporate higher-order contributions and evolutionary effects with ease. Their research reveals that achieving a description of the longitudinal component of the vector meson DVMP cross-section at high energies is only possible at NLO within the standard collinear approach. Moreover, they showcase a simultaneous description of processes such as deep inelastic scattering (DIS), DVCS, and DVMP, offering valuable insights into the proton structure elucidated by unique universal generalized parton distribution (GPD) functions. With 36 pages and 13 figures, this comprehensive study provides a deeper understanding of how NLO corrections impact DVMP and sheds light on the extraction of generalized parton distributions. The findings presented by Čuić et al. contribute significantly to our knowledge of these complex processes in particle physics and pave the way for further advancements in theoretical modeling and experimental investigations in this field.
AI-generated keywords: NLO corrections deeply virtual meson production perturbative QCD conformal partial wave formalism generalized parton distributions

AI-generated Key Points

  • Authors Marija Čuić, Goran Duplančić, Krešimir Kumerički, and Kornelija Passek-K. focus on NLO corrections for deeply virtual meson production (DVMP).
  • Study combines DVMP with deeply virtual Compton scattering (DVCS) in a multichannel fit.
  • Utilization of conformal partial wave (CPaW) formalism to incorporate higher-order contributions and evolutionary effects.
  • Longitudinal component of vector meson DVMP cross-section described at high energies only possible at NLO within standard collinear approach.
  • Simultaneous description of processes like deep inelastic scattering (DIS), DVCS, and DVMP offers insights into proton structure through universal generalized parton distribution (GPD) functions.
  • Comprehensive study with 36 pages and 13 figures deepens understanding of NLO corrections' impact on DVMP and extraction of generalized parton distributions.
  • Findings contribute significantly to knowledge in particle physics, paving the way for advancements in theoretical modeling and experimental investigations.
Also access our AI generated: Comprehensive summary, Lay summary, Blog-like article; or ask questions about this paper to our AI assistant.

Abstract: We revisit the next-to-leading order (NLO) perturbative QCD corrections for the deeply virtual meson production (DVMP) process, exploring its phenomenology both in isolation and in a multichannel fit combined with deeply virtual Compton scattering (DVCS). Our approach involves the conformal partial wave (CPaW) formalism, which allows for the straightforward inclusion of higher-order contributions and evolutionary effects. Our findings indicate that a description of the longitudinal component of the vector meson DVMP cross-section at high energies is achievable only at NLO within the standard collinear approach. Furthermore, we demonstrate a simultaneous description of DIS, DVCS, and DVMP processes, providing insights into the proton structure described at NLO by unique universal generalized parton distribution (GPD) functions.

Submitted to arXiv on 20 Oct. 2023

Tools for this paper

Explain it differently 3 free rewrites left today
Export BibTeX · RIS (Zotero, Mendeley, EndNote) · Markdown (Notion, Obsidian) · Premium
Citation alerts Premium
Journal club Slides to present it Premium
For journalists Press kit and hype check Premium

Ask questions about this paper to our AI assistant

You can also chat with multiple papers at once here.

⚠The license of the paper does not allow us to build upon its content and the AI assistant only knows about the paper metadata rather than the full article.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Assess the quality of the AI-generated content by voting

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

⚠The license of this specific paper does not allow us to build upon its content and the summarizing tools will be run using the paper metadata rather than the full article. However, it still does a good job, and you can also try our tools on papers with more open licenses.

Similar papers summarized with our AI tools

Navigate through even more similar papers through a

tree representation

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.