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    <identifier>10.57760/sciencedb.06728</identifier>
    <datestamp>2022-12-01T14:14:54Z</datestamp>
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  <dc:date>2022-12-01</dc:date>
  <dc:title>Simultaneous wavefront sensing of multiple beams using neural networks</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.06728</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This work proposes and implements a method for simultaneous wavefront sensing of multiple beams using neural networks, which is intended to be used in the petawatt-level coherent beam combination laser systems. Data &amp;quot;figure01.jpg&amp;quot; describes the configuration and the beam distributions of the measurement system. Data &amp;quot;figure02.jpg&amp;quot; describes the data flow of this work. Data &amp;quot;figure03.jpg&amp;quot; shows the structure of the neural networks and the training process. Data &amp;quot;figure04.jpg&amp;quot; and &amp;quot;figure05.jpg&amp;quot; show the performance of the trained neural networks. Data &amp;quot;figure06.jpg&amp;quot; shows the performance of the network in correcting the wavefront aberrations of four-beam laser system. As a comparison, Data &amp;quot;figure07.jpg&amp;quot; shows the performance of traditional SPGD method.</dc:description>
  <dc:subject>wavefront sensing; neural network; petawatt lasers</dc:subject>
  <dc:creator>Ding Wang</dc:creator>
  <dc:creator>Yuxin Leng</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1007/s00340-021-07739-x</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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