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<p class="MsoNormal">Dear all,<o:p></o:p></p>
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<p class="MsoNormal">Today, Wednesday, August 2<sup>nd</sup>, at 1:00PM (EDT), we will have a cake seminar given by Marija Cuic of University of Zagreb in Cebaf Center Room F224/225.<o:p></o:p></p>
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<p class="MsoNormal">Please see below for the title and abstract.<o:p></o:p></p>
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<p class="MsoNormal"><b><u>Cake Seminar</u></b><o:p></o:p></p>
<p class="MsoNormal">Wednesday, August 2<sup>nd</sup> at 1:00 PM<o:p></o:p></p>
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<p class="MsoNormal"><b><u>Marija Cuic</u></b> (University of Zagreb)<o:p></o:p></p>
<p class="MsoNormal">Will discuss “Multichannel GPD and CFF extraction from hard exclusive processes”<o:p></o:p></p>
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<p class="MsoNormal"><b><u>Abstract</u></b>:<o:p></o:p></p>
<p class="MsoNormal">Generalized parton distributions allow us to access the three-dimensional structure of the proton and are a possible solution to the proton spin puzzle. We report on recent results on extraction of generalized parton distributions and relevant
form factors from deeply virtual Compton scattering (DVCS) and deeply virtual meson production (DVMP) data. Using the more recent proton DVCS data, we extract the set of leading Compton form factors (CFFs) with uncertainties and, by adding neutron DVCS data,
we separate the contributions of up and down quarks to the CFFs H and E utilizing neural networks. We make simultaneous fits to high energy DIS, DVCS and DVMP data at low x and study the impact of next-to-leading order corrections, as well as the possibility
of a unique description of these processes with twist-2 GPDs. We demonstrate a sizeable impact of NLO corrections and that extraction of unique GPDs becomes possible at NLO.<o:p></o:p></p>
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<p class="MsoNormal">See you later,<o:p></o:p></p>
<p class="MsoNormal">Patrick, Caroline, and Joe<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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