B
Brandon Kriesten
Researcher at University of Virginia
Publications - 11
Citations - 63
Brandon Kriesten is an academic researcher from University of Virginia. The author has contributed to research in topics: Parton & Compton scattering. The author has an hindex of 2, co-authored 5 publications receiving 14 citations.
Papers
More filters
Journal ArticleDOI
Extraction of generalized parton distribution observables from deeply virtual electron proton scattering experiments
Brandon Kriesten,Andrew Meyer,Simonetta Liuti,Liliet Calero Diaz,Dustin Keller,Gary R. Goldstein,J. Osvaldo Gonzalez-Hernandez +6 more
TL;DR: In this paper, the authors provide a general expression of the cross section for exclusive deeply virtual photon electroproduction from a spin-1/2$ target using current parametrizations of the off-forward correlation function in a nucleon for different beam and target polarization configurations up to twist-three accuracy.
Journal ArticleDOI
Precision studies of QCD in the low energy domain of the EIC
Volker D. Burkert,Latifa Elouadrhiri,Andrei Afanasev,John Arrington,M. Contalbrigo,Wim Cosyn,A. Deshpande,D. I. Glazier,X. Ji,Simonetta Liuti,Yongseok Oh,David Richards,Todd Satogata,A. Vossen,Hamed Abdolmaleki,Areej Albataineh,Christine Angela Aidala,Constantia Alexandrou,H. Avagyan,Alessandro Bacchetta,M. D. Baker,Fatiha Benmokhtar,Jan C. Bernauer,Chiara Bissolotti,W. J. Briscoe,D.H. Byers,Xue-Xiang Cao,Carl E. Carlson,Krzysztof Cichy,I.C. Cloet,C. Cocuzza,P. L. Cole,Martha Constantinou,Aurore Courtoy,H. Dahiyah,K. Dehmelt,S. Diehl,C. Dilks,C. Djalali,R. Dupre,S. Covrig Dusa,Bruno El-Bennich,L. El Fassi,Tobias Frederico,Adam Freese,B. Gamage,Leonard Gamberg,Ramkrishna Ghoshal,F. X. Girod,Victor P. Goncalves,Y. Gotra,Feng Guo,Xi Guo,M. Hattawy,Yoko Hatta,T. B. Hayward,Or Hen,G. M. Huber,C. E. Hyde,E. L. Isupov,B. V. Jacak,W. W. Jacobs,Alexander Jentsch,Cheung-Ryong Ji,S. Joosten,N. Kalantarians,Z. Kang,A. Kim,S. R. Klein,Brandon Kriesten,Shuichi Kumano,A. Kumar,Krešimir Kumerički,Michelle Kuchera,Wai Kin Lai,Jin Li,Shujie Li,W Li,Xin Li,H.-W. Lin,K. Liu,Xiaohui Liu,Pete Markowitz,Vincent Mathieu,Matthew McEneaney,Akka Ait El Mekki,J. P. B. C. de Melo,Z. E. Meziani,Ross Milner,H. Mkrtchyan,V. V. Mochalov,Victor Mokeev,V. Morozov,H. Moutarde,Morgan Murray,S. Mtingwa,P. Nadel-Turonski,V. A. Okorokov,Ebode F. Onyie,L. L. Pappalardo,Z. Papandreou,Črt Pečar,Alessandro Pilloni,Bernard Pire,Nicholas F. Polys,Alexei Prokudin,Mariusz Przybycien,Jing Qiu,Marco Radici,Rolf K. Reed,Felix Ringer,B. J. Roy,Nobuo Sato,Alex Júnior Schäfer,B. Schmookler,G. Schnell,Dieter Schweitzer,R. Seidl,Kirill M. Semenov-Tian-Shansky,Fernando E. Serna,Fouad Al Shaban,M. H. Shabestari,Kyle Shiells,Andrea Signori,Hubert Spiesberger,I. I. Strakovsky,Raza Sabbir Sufian,Adam P. Szczepaniak,Liliana Teodorescu,J.L. Terry,Oleg Teryaev,F. Tessarotto,Cameron Timmer,Abdel-Nasser M. Tawfik,Len Cazares,Alexey Vladimirov,E. Voutier,D. P. Watts,Dylan Wilson,D. Winney,B.J. Xiao,Z. Ye,Feng Yuan,Nicholas Zachariou,Ismail Zahed,J.-L. Zhang,Y. Zhang,J. H. Zhou +147 more
TL;DR: In this paper , the authors highlight the important benefits in the science reach of the EIC and highlight the benefits of high luminosity operation for programs that would require many months or even years of operation at lower luminosity.
Posted Content
Novel Rosenbluth Extraction Framework for Compton Form Factors from Deeply Virtual Exclusive Experiments
Brandon Kriesten,Simonetta Liuti +1 more
TL;DR: In this article, a generalization of the Rosenbluth separation method was used for simultaneous extraction of the Compton Form Factors from virtual Compton scattering data on an unpolarized target, which is the first step towards pinning down the distribution of angular momentum inside the proton.
Posted Content
Theory of Deeply Virtual Compton Scattering off the Unpolarized Proton
Brandon Kriesten,Simonetta Liuti +1 more
TL;DR: In this article, the authors used the helicity amplitudes formalism to study the electron photoproduction off an unpolarized nucleon target through a range of kinematic settings for the initial electron energy in the laboratory system, 6 GeV, 11 GeV and 24 GeV.
Journal ArticleDOI
Deep learning analysis of deeply virtual exclusive photoproduction
TL;DR: In this paper, a machine learning based approach to the cross section and asymmetries for deeply virtual Compton scattering from an unpolarized proton target using both an unweighted and polarized electron beam is presented.