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Dear All,
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<div class="">Here is a reminder of the seminar today:<br class="">
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt;" class="">-Wednesday, January </span><span class="x_Object" id="x_OBJ_PREFIX_DWT100_com_zimbra_date" style="font-size: 14.16px; color: rgb(0, 90, 149); font-family: monospace;"><span class="x_Object" id="x_OBJ_PREFIX_DWT101_com_zimbra_date" style="font-size: 1.18rem;"><span style="font-size: 11pt; font-family: Arial, Helvetica, sans-serif;" class="">9th</span><span style="font-size: 11pt; font-family: Arial, Helvetica, sans-serif;" class="">,
1:00PM</span></span></span><span style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt;" class="">, Room L102</span><br style="font-size: 14.16px; color: rgb(51, 51, 51); font-family: monospace;" class="">
<span style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt;" class=""><span style="font-size: 11pt; font-family: Arial, Helvetica, sans-serif;" class="">Michelle Kuchera </span><span style="font-size: 11pt; font-family: Arial, Helvetica, sans-serif;" class="">(Davidson
College</span><span style="font-size: 11pt; font-family: Arial, Helvetica, sans-serif;" class="">), "</span></span><span style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt;" class="">Machine Learning for event simulation and classification in
the Active-Target Time Projection Chamber."</span></div>
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<span style="font-size: 16px;" class=""><span style="font-size: 11pt; font-family: Arial, Helvetica, sans-serif;" class="">Abstract:</span><br class="">
<span style="font-weight: 400; font-size: 12pt; font-family: Calibri;" class=""><span style="font-size: 10pt; font-family: Arial, Helvetica, sans-serif;" class="">The Active-Target Time Projection Chamber (AT-TPC) is a high-efficiency detector used for low-energy
nuclear reactions at the National Superconducting Cyclotron Laboratory. A week-long experiment using the AT-TPC collects over 10 terabytes of data. </span><b class=""><span style="margin: 0px; font-family: Arial, Helvetica, sans-serif; font-size: 10pt; font-weight: 400;" class="">Challenges
in analyzing data </span></b><span style="font-size: 10pt; font-family: Arial, Helvetica, sans-serif;" class="">include simulating detector response to events, especially simulation of noisy events, and classification of reactions. Generative adversarial networks
(GANs) are used to improve simulations and convolutional neural networks (CNNs) are found to classify events most successfully. Implementation methods and results for the GANs and CNNs will be presented in the context of a proton elastic scattering experiment, </span></span><span style="font-weight: 400; font-size: 10pt; font-family: Arial, Helvetica, sans-serif; vertical-align: super;" class="">46</span><span style="font-weight: 400; font-size: 10pt; font-family: Arial, Helvetica, sans-serif;" class="">Ar(p,p),
with discussion of broader applications in nuclear physics. </span></span><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 16px;" class=""> </span></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt;" class=""><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 16px;" class=""></span></span><font face="Calibri, Arial, Helvetica, sans-serif" class=""><br class="">
</font><span style="color: rgb(91, 96, 101); font-family: Arial, Helvetica, sans-serif; font-size: 11pt;" class=""><span style="font-size: 10pt;" class="">BlueJeans connection</span>:<span style="font-size: 12pt;" class=""> </span></span><a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__bluejeans.com_195615763&d=DwMFAw&c=lz9TcOasaINaaC3U7FbMev2lsutwpI4--09aP8Lu18s&r=60nExCXZj9SCzny0kAZk-AjVzjr42OsgTZnvcFFHHk8&m=Ub48L0rrbsKlmkDsjJpidt8onZ36NHlu4wVZTxnQH0M&s=qxKW2PoXzZ1B7iinSDTsue17gYOmWJ3uBLy_AXadWMU&e=" id="LPlnk749463" class="x_OWAAutoLink" previewremoved="true" style="box-sizing: border-box; color: rgb(172, 23, 43); word-break: break-word; font-family: avenir-light; font-size: 16px;"><span style="font-size: 12pt; font-family: Arial, Helvetica, sans-serif; color: rgb(0, 111, 201);" class="">https://bluejeans.com/195615763</span></a><br style="font-size: 14.16px; color: rgb(51, 51, 51); font-family: monospace;" class="">
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<div>Thank you.</div>
<div>Carlota, Vincent and Raza</div>
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