Disclaimer:

    The views, information, or opinions expressed in the Industry News RSS feed belong solely to the author and do not necessarily represent those of IDEX Health & Science and its employees.

    Machine Learning Enhances Synchrotron Performance

    Article obtained from Photonics RSS Feed.

    A team of researchers from Lawrence Berkeley National Laboratory (Berkeley Lab) and the University of California, Berkeley (UC Berkeley) have demonstrated how machine learning can improve the stability of synchrotron light beam performance.

    Synchrotrons, such as the Advanced Light Source (ALS) at Berkeley Lab, are a type of particle accelerator that accelerate electrons to emit light in controlled beams. They allow scientists to explore samples using a variety of colors and wavelengths, and many synchrotron facilities deliver different types of light for dozens of experiments happening simultaneously.
    This chart shows how vertical beam-size stability greatly improves when a neural network is implemented during Advanced Light…

    READ MORE
    Nov, 11 2019 |

    IDEX Health & Science is the global authority in fluidics and optics, bringing to life advanced optofluidic technologies with our products, people, and engineering expertise. Intelligent solutions for life.