Machine Learning Reveals Hidden Components of X-Ray Pulses (IMAGE)
Caption
An X-ray pulse (white line) is built from ‘real’ and ‘imaginary’ components (red and blue dashes) that determine quantum effects. A neural network analyzes low resolution measurements (black shadow) to reveal the high-resolution pulse and its components.
Credit
Image courtesy of SLAC National Accelerator Laboratory
Usage Restrictions
Image courtesy of SLAC National Accelerator Laboratory
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Original content