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This paper focuses on a measurement of deeply virtual Compton scattering (DVCS) performed at Jefferson Lab using a nearly-6-GeV polarized electron beam, two longitudinally polarized (via DNP) solid targets of protons (NH3) and deuterons…

Nuclear Experiment · Physics 2019-08-13 Silvia Niccolai

Standard parton distribution functions contain neither information on the correlations between partons nor on their transverse motion, then a vital knowledge about the three dimensional structure of the nucleon is lost. Hard exclusive…

High Energy Physics - Phenomenology · Physics 2008-11-26 Laurent Schoeffel

Double-spin asymmetries in exclusive electroproduction of real photons from a transversely polarized hydrogen target are measured with respect to the product of target polarization with beam helicity and beam charge, and with respect to the…

High Energy Physics - Experiment · Physics 2011-09-16 The HERMES Collaboration , A. Airapetian , N. Akopov , Z. Akopov , E. C. Aschenauer , W. Augustyniak , R. Avakian , A. Avetissian , E. Avetisyan , S. Belostotski , N. Bianchi , H. P. Blok , A. Borissov , J. Bowles , I. Brodski , V. Bryzgalov , J. Burns , M. Capiluppi , G. P. Capitani , E. Cisbani , G. Ciullo , M. Contalbrigo , P. F. Dalpiaz , W. Deconinck , R. De Leo , L. De Nardo , E. De Sanctis , P. Di Nezza , M. Dueren , M. Ehrenfried , G. Elbakian , F. Ellinghaus , R. Fabbri , A. Fantoni , L. Felawka , S. Frullani , D. Gabbert , G. Gapienko , V. Gapienko , F. Garibaldi , G. Gavrilov , V. Gharibyan , F. Giordano , S. Gliske , M. Golembiovskaya , M. Hartig , D. Hasch , M. Hoek , Y. Holler , I. Hristova , Y. Imazu , A. Ivanilov , H. E. Jackson , H. S. Jo , S. Joosten , R. Kaiser , G. Karyan , T. Keri , E. Kinney , A. Kisselev , V. Korotkov , V. Kozlov , P. Kravchenko , V. G. Krivokhijine , L. Lagamba , L. Lapikas , I. Lehmann , P. Lenisa , A. Lopez Ruiz , W. Lorenzon , X. -G. Lu , X. -R. Lu , B. -Q. Ma , D. Mahon , N. C. R. Makins , S. I. Manaenkov , L. Manfre , Y. Mao , B. Marianski A. Martinez de la Ossa , H. Marukyan , C. A. Miller , Y. Miyachi , A. Movsisyan , M. Murray , A. Mussgiller , E. Nappi , Y. Naryshkin , A. Nass , M. Negodaev , W. -D. Nowak , L. L. Pappalardo , R. Perez-Benito , M. Raithel , P. E. Reimer , A. R. Reolon , C. Riedl , K. Rith , G. Rosner , A. Rostomyan , J. Rubin , D. Ryckbosch , Y. Salomatin , A. Schaefer , G. Schnell , K. P. Schueler , B. Seitz , T. -A. Shibata , V. Shutov , M. Stancari , M. Statera , E. Steffens , J. J. M. Steijger , F. Stinzing , S. Taroian , A. Terkulov , R. Truty , A. Trzcinski , M. Tytgat , Y. Van Haarlem , C. Van Hulse , D. Veretennikov , V. Vikhrov , I. Vilardi , S. Wang , S. Yaschenko , Z. Ye , S. Yen , V. Zagrebelnyy , D. Zeiler , B. Zihlmann , P. Zupranski

Virtual photons have proven to be very efficient probes of the hadronic structure, mostly through deep inelastic scattering and related processes. The advent of high luminosity lepton beams has allowed to enlarge the studied processes to…

High Energy Physics - Phenomenology · Physics 2008-12-18 B. Pire , L. Szymanowski

A measurement of the electroproduction of photons off protons in the deeply inelastic regime was performed at Jefferson Lab using a nearly 6-GeV electron beam, a longitudinally polarized proton target and the CEBAF Large Acceptance…

High Energy Physics - Experiment · Physics 2015-06-23 E. Seder , A. Biselli , S. Pisano , S. Niccolai , the CLAS Collaboration

This paper has proposed a new baseline deep learning model of more benefits for image classification. Different from the convolutional neural network(CNN) practice where filters are trained by back propagation to represent different…

Computer Vision and Pattern Recognition · Computer Science 2021-08-13 Yifei Li , Kuangyan Song , Yiming Sun , Liao Zhu

We provide the general expression of the cross section for exclusive deeply virtual photon electroproduction from a spin 1/2 target using current parameterizations of the off-forward correlation function in a nucleon for different beam and…

An interesting breakthrough in understanding the elusive inner content of nuclear systems in terms of partonic degrees of freedom is represented by deeply virtual Compton scattering processes. In such a way, tomographic view of nuclei and…

Nuclear Theory · Physics 2019-10-22 Sara Fucini , Sergio Scopetta , Michele Viviani

In the context of nucleon structure studies, Generalized Parton Distributions (GPDs) are crucial for understanding the correlation between the longitudinal momentum and the transverse position of partons inside the nucleon. A privileged…

High Energy Physics - Experiment · Physics 2025-09-16 J. S. Alvarado , M. Hoballah , E. Voutier

Over the last decade, scanning transmission electron microscopy (STEM) has emerged as a powerful tool for probing atomic structures of complex materials with picometer precision, opening the pathway toward exploring ferroelectric,…

Data Analysis, Statistics and Probability · Physics 2021-12-23 Ayana Ghosh , Christopher T. Nelson , Mark Oxley , Xiaohang Zhang , Maxim Ziatdinov , Ichiro Takeuchi , Sergei V. Kalinin

The study of exclusive processes in the future electron-ion ($eA$) colliders will be an important tool to investigate the QCD dynamics at high energies as they are in general driven by the gluon content of the target which is strongly…

High Energy Physics - Phenomenology · Physics 2015-06-11 V. P. Goncalves , D. S. Pires

Diffuse optical tomography (DOT) has been investigated as an alternative imaging modality for breast cancer detection thanks to its excellent contrast to hemoglobin oxidization level. However, due to the complicated non-linear photon…

Computer Vision and Pattern Recognition · Computer Science 2019-09-10 Jaejun Yoo , Sohail Sabir , Duchang Heo , Kee Hyun Kim , Abdul Wahab , Yoonseok Choi , Seul-I Lee , Eun Young Chae , Hak Hee Kim , Young Min Bae , Young-wook Choi , Seungryong Cho , Jong Chul Ye

We study deeply virtual Compton scattering and deep exclusive meson electroproduction on a deuteron target. We model the Generalized Quark Distributions in the deuteron by using the impulse approximation for the lowest Fock-space state on…

High Energy Physics - Phenomenology · Physics 2014-11-17 F. Cano , B. Pire

The generalized parton distributions (GPDs) have emerged as a universal tool to describe hadrons in terms of their elementary constituents, the quarks and the gluons. Deeply virtual Compton scattering (DVCS) on a proton or neutron ($N$), $e…

Nuclear Experiment · Physics 2015-10-16 Angela Biselli

Traditional image segmentation methods, such as variational models based on partial differential equations (PDEs), offer strong mathematical interpretability and precise boundary modeling, but often suffer from sensitivity to parameter…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Kaili Qi , Wenli Yang , Ye Li , Zhongyi Huang

Standard parton distribution functions contain neither information on the correlations between partons nor on their transverse motion, then a vital knowledge about the three dimensional structure of the nucleon is lost. Hard exclusive…

High Energy Physics - Phenomenology · Physics 2009-06-16 Laurent Schoeffel

Based on the two-gluon-exchange dynamical mechanism for deeply inelastic scattering at low x ~= Q^2/W^2 <<1, we stress the intimate connection between the total virtual photoabsorption cross section, deeply virtual Compton scattering and…

High Energy Physics - Phenomenology · Physics 2014-11-17 Masaaki Kuroda , Dieter Schildknecht

Exclusive production of light vector mesons in deep inelastic scattering is calculated at next-to-leading order in the dipole picture in the limit of high photon virtuality. The resulting expression is free of any divergences and suitable…

High Energy Physics - Phenomenology · Physics 2022-09-20 Heikki Mäntysaari , Jani Penttala

In this paper, we develop and explore deep anomaly detection techniques based on the capsule network (CapsNet) for image data. Being able to encoding intrinsic spatial relationship between parts and a whole, CapsNet has been applied as both…

Machine Learning · Computer Science 2019-07-16 Xiaoyan Li , Iluju Kiringa , Tet Yeap , Xiaodan Zhu , Yifeng Li