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<div>Dear all,<br>
<br>
Here is a reminder for next week theory seminars:<br>
<br>
<span style="font-size: 12pt;"><u>Theory seminar:</u></span><br>
<span style="font-size: 12pt;">Monday, March</span><span style="font-size: 12pt;"> 4th, 1:00PM, Room L102</span><br>
<span style="font-size: 12pt;">Srimoyee Sen (U. of Washington), "</span><span style="font-size: 12pt;">Anyonic particle-vortex statistics and the nature of dense QCD"</span><span>
<div><br>
<span style="font-size: 12pt;">Abstract:</span> <br>
<span style="font-size: 11pt;">Recent theoretical observations have established the presence of Z_3 -valued </span><br>
<span style="font-size: 11pt;">particle-vortex braiding phases in high density quark matter. </span><span style="font-size: 11pt;">Certain mesonic and baryonic excitations, in the presence of a superfluid vortex, have orbital angular </span><span style="font-size: 11pt;">momentum
quantized in units of 1/3. Such non-local topological features can distinguish phases </span><span style="font-size: 11pt;">whose realizations of global symmetries, as probed by local order parameters, are identical. If </span><span style="font-size: 11pt;">Z_3
braiding phases and angular momentum fractionalization are absent in lower density hadronic </span><span style="font-size: 11pt;">matter, as is widely expected, then the quark matter and hadronic matter regimes of dense QCD</span><br>
<span style="font-size: 11pt;">must be separated by at least one phase transition.</span></div>
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<div><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><br>
</span></div>
<div><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><u>Theory seminar:</u></span><br style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;">
<span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;">Wednesday, March</span><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"> 6th,
1:00PM, Room L102</span><br style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;">
<span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><span>Pawel Sznajder (<span>National Centre for Nuclear
Research, Warsaw)</span></span>, "</span>Towards extraction of GPDs: Unbiased determination of DVCS Compton Form Factors"<span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><br>
</span></div>
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<div>Abstract:</div>
<div><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 11pt;">I will present analysis of nearly all existing Deeply
Virtual Compton Scattering (DVCS) data allowing to explore the proton structure within the framework of Generalised Parton Distributions (GPDs). This analysis starts from a model-independent determination of DVCS amplitudes using the neural network technique.
This approach is complementary to our last global analysis of DVCS data, where parameterisations of DVCS amplitudes are constructed in a model-dependent way to fulfil the basic properties of GPDs. Comparison of both analyses allows to estimate the model dependency
of quantities extracted and interpreted in the framework of GPDs. The work is done within the PARTONS framework being the modern tool for generic GPD studies.</span><br>
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<div><span style="white-space: pre-wrap; font-size: 12pt;">Raza, Vincent, Carlota</span><br>
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