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Title Diquark Correlations in Hadron Physics: Origin, Impact and Evidence
Authors M. Barabanov, Marco Bedolla, William Brooks, Gordon Cates, C. Chen, Y. Chen, Evaristo Cisbani, M. Ding, Gernot Eichmann, Rolf Ent, J. Ferretti, Ralf Gothe, Tanja Horn, Simonetta Liuti, Cedric Mezrag, Alessandro Pilloni, Andrew Puckett, Craig Roberts, Patrizia Rossi, Giovanni Salme, Elena Santopinto, Jorge Segovia Gonzalez, Sergey Syritsyn, M. Takizawa, Egle Tomasi-Gustafsson, P. Wein, Bogdan Wojtsekhowski
JLAB number JLAB-PHY-21-3316
LANL number arXiv:2008.07630
Other number DOE/OR/23177-5126, NJU-INP 024/20
Document Type(s) (Journal Article) 
Associated with EIC: No
Supported by Jefferson Lab LDRD Funding: No
Funding Source: Nuclear Physics (NP)
 

Journal
Compiled for Progress in Particle and Nuclear Physics
Volume 116
Page(s) 103835
Refereed
Publication Abstract: The last decade has seen a marked shift in how the internal structure of hadrons is understood. Modern experimental facilities, new theoretical techniques for the continuum bound-state problem and progress with lattice-regularised QCD have provided strong indications that soft quark+quark (diquark) correlations play a crucial role in hadron physics. For example, theory indicates that the appearance of such correlations is a necessary consequence of dynamical chiral symmetry breaking, viz. a corollary of emergent hadronic mass that is responsible for almost all visible mass in the universe; experiment has uncovered signals for such correlations in the flavour-separation of the proton's electromagnetic form factors; and phenomenology suggests that diquark correlations might be critical to the formation of exotic tetra- and penta-quark hadrons. A broad spectrum of such information is evaluated herein, with a view to consolidating the facts and therefrom moving toward a coherent, unified picture of hadron structure and the role that diquark correlations might play.
Experiment Numbers:
Group: Hall A
Document: pdf
DOI: https://doi.org/10.1016/j.ppnp.2020.103835
Accepted Manuscript: 2008.07630.pdf
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Supporting Datasets: