Machine Learning Reveals Hidden Components of X-Ray Pulses

Ultrafast pulses from X-ray lasers reveal how atoms move at femtosecond timescales, but measuring the properties of the pulses is challenging. A new approach trains neural networks to analyze the pulses. Starting from low-resolution measurements, the neural networks reveal finer details with each pulse, and they can analyze pulses millions of times faster than previous methods.