Poster Open Access

Characterization of the NEXT-White Detector with Calibration Data

RENNER, J.


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    <subfield code="a">&lt;p&gt;The NEXT (Neutrino Experiment with a Xenon TPC) experiment will search for neutrinoless double-beta (&lt;span class="MathJax"&gt;&lt;span class="math"&gt;&lt;span&gt;&lt;span&gt;&lt;span class="mrow"&gt;&lt;span class="mn"&gt;0&lt;/span&gt;&lt;span class="mi"&gt;&amp;nu;&lt;/span&gt;&lt;span class="mi"&gt;&amp;beta;&lt;/span&gt;&lt;span class="mi"&gt;&amp;beta;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;
0\nu\beta\beta
) decay in &lt;span class="MathJax"&gt;&lt;span class="math"&gt;&lt;span&gt;&lt;span&gt;&lt;span class="mrow"&gt;&lt;span class="msubsup"&gt;&lt;span&gt;&lt;span&gt;&lt;span class="texatom"&gt;&lt;span class="mrow"&gt;&lt;span class="mn"&gt;136&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;
^{136}
Xe with a high pressure xenon gas time projection chamber (TPC). Two principle advantages of the NEXT approach are good energy resolution and topology-based event classification. We describe initial results from the first phase of the experiment, the detector NEXT-White deployed in the Canfranc Underground Laboratory in the Spanish Pyrenees, demonstrating recent progress towards sub-1% energy resolution at the &lt;span class="MathJax"&gt;&lt;span class="math"&gt;&lt;span&gt;&lt;span&gt;&lt;span class="mrow"&gt;&lt;span class="msubsup"&gt;&lt;span&gt;&lt;span&gt;&lt;span class="texatom"&gt;&lt;span class="mrow"&gt;&lt;span class="mn"&gt;136&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;
^{136}
Xe double-beta Q-value. We also present the results of a topological analysis, using electron-positron pair events in place of the two-electron events expected from &lt;span class="MathJax"&gt;&lt;span class="math"&gt;&lt;span&gt;&lt;span&gt;&lt;span class="mrow"&gt;&lt;span class="mn"&gt;0&lt;/span&gt;&lt;span class="mi"&gt;&amp;nu;&lt;/span&gt;&lt;span class="mi"&gt;&amp;beta;&lt;/span&gt;&lt;span class="mi"&gt;&amp;beta;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;
0\nu\beta\beta
, which demonstrates how such events can be distinguished from background (single-electron) events of the same energy through the use of deep neural networks (DNNs).&lt;/p&gt;</subfield>
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