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17–19 Aug 2017
Asia/Shanghai timezone

The GlueX Experiment (Newport News, Virginia, USA) and the BESIII Experiment (Beijing, China) share a number of common interests.  In this workshop, taking place at the IU Gateway office in Beijing, we will bring together theorists and experimentalists from each community to explore ways to enhance cooperation.  Now is an opportune time -- the GlueX Experiment has recently commenced its physics program, and the BESIII Experiment, which has been collecting data since 2009, has recently had a string of breakthroughs in hadronic physics.   The agenda of the workshop will be structured to stimulate informal discussions centered around the topics listed below.

TOPIC 1:  Production Mechanisms.  While the GlueX Experiment uses 9 GeV polarized photons incident on a proton target to produce hadrons (photoproduction), the BESIIII Experiment collides electrons and positrons to produce hadrons through a virtual photon (e+e- annihilation). Can these two processes, one through a real photon and one through a virtual photon, be related in a rigorous way?  Can we take information learned from e+e- and make predictions about photoproduction cross sections?  Is there anything interesting to learn about spectroscopy by doing this?

TOPIC 2:  Light and Heavy Quark Hadrons.  Can we use what has been observed by BESIII in the charmonium system to make definitive, testable predictions for GlueX?  How could the scientific program at GlueX benefit from the ongoing developments in charmonium?  Could key ideas stemming from charmonium (cusps, rescattering, tetraquarks, etc.) be tested at GlueX?

TOPIC 3:  Light Quark Resonances.  How can we use knowledge of light quark mesons and baryons obtained from charmonium decay to inform analyses for GlueX? Are there interesting light quark structures observed at BESIII that should be high priority searches at GlueX?  What might we learn if GlueX does or does not observe them?

TOPIC 4:  Theory-Experiment Collaboration.  How can theorists interact with BESIII and GlueX to maximize the amount that can be learned from data?  How can the experiments facilitate these interactions?

 

IU Organizers:
Ryan Mitchell (remitche@indiana.edu)
Matt Shepherd (mashephe@indiana.edu)
Adam Szczepaniak (aszczepa@indiana.edu)

 

 

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