<html xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=Windows-1252">
<meta name="Generator" content="Microsoft Word 15 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0in;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#0563C1;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.apple-converted-space
{mso-style-name:apple-converted-space;}
.MsoChpDefault
{mso-style-type:export-only;
font-family:"Calibri",sans-serif;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
{page:WordSection1;}
--></style>
</head>
<body lang="EN-US" link="#0563C1" vlink="#954F72" style="word-wrap:break-word">
<div class="WordSection1">
<p class="MsoNormal"><span style="font-size:12.0pt;color:black;background:white">Hello All,<span class="apple-converted-space"> </span></span><o:p></o:p></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black">Today, November 9th at 1 pm (EST), Brandon Kriesten will give our next in-person cake seminar in CC L102. For those unable to attend in person, please join using the usual
zoom link:<span class="apple-converted-space"> </span><a href="https://jlab-org.zoomgov.com/j/1611179843?pwd=M09CNTFpbFVZSW1IQlhIMGp3RUVHUT09" title="https://jlab-org.zoomgov.com/j/1611179843?pwd=M09CNTFpbFVZSW1IQlhIMGp3RUVHUT09">https://jlab-org.zoomgov.com/j/1611179843?pwd=M09CNTFpbFVZSW1IQlhIMGp3RUVHUT09</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:black;background:white">Please see below for the details.<span class="apple-converted-space"> </span></span><o:p></o:p></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><b><u><span style="font-size:12.0pt;color:black">Cake Seminar</span></u></b><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black">Wednesday, November 9th at 1:00 PM<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><b><u><span style="font-size:12.0pt;color:black">Brandon Kriesten</span></u></b><span class="apple-converted-space"><span style="font-size:12.0pt;color:black"> </span></span><span style="font-size:12.0pt;color:black">(Center
for Nuclear Femtography)<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black">will discuss "Reconstructing lost information in deeply virtual exclusive processes"<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><b><u><span style="font-size:12.0pt;color:black">Abstract:</span></u></b><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black">It is known that deeply virtual exclusive reactions encode the dynamics of bound partons in nuclei through generalized parton distributions; however, there are many levels
of abstraction in going from hadronic properties to experimental observables. The EIC promises an unprecedented amount of data on exclusive reactions with high precision in a large range of kinematic settings as part of its 3D hadronic structure program. There
is an immediate need to develop advanced theory and computational tools in preparation for such a program. The FemtoNet framework was developed to answer this call, by reframing the analysis of exclusive experiments as a quantification of information loss
and reconstruction. FemtoNet utilizes physics-informed deep learning models to eliminate the “black box” nature of ML algorithms and re-inject the art of human intuition by imposing physics constraints at specific steps of the analysis. I will demonstrate
what information physics-informed deep neural networks are capable of in reconstructing from exclusive scattering experiments and give prospects for the future of such a program.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;color:black">Best,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:black;background:white">Caroline, Colin, & Patrick</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
</div>
</body>
</html>