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    <identifier>10.57760/sciencedb.28083</identifier>
    <datestamp>2025-10-14T15:47:44Z</datestamp>
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  <dc:date>2025-10-14</dc:date>
  <dc:title>Multi-spectral and single-shot wavefront detection technique based on neural networks</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.28083</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Multi-spectral SHWFS spot pattern generationand neural network training programs.The Ten_sp_data.m (matlab) file generates SHWFS samples, with the target spectrum modifiable as required. The four_sp_resnet.py (python) file trains a model (using the ResNet50 architecture) on these samples to achieve synchronous measurement of multi-wavelength wavefronts.The data/label folder contains the label values for multiple sets of training and test samples. These labels can be used with the Ten_sp_data.m file to regenerate datasets or SHWFS patterns. The data/test_result folder also includes the testing set labels and the corresponding prediction errors.</dc:description>
  <dc:subject>Multi-spectral wavefront detection; Shack-Hartmann Wavefront Sensor; Neural networks.</dc:subject>
  <dc:creator>Xunzheng Li</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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