High-Luminosity LHC

What if you want to capture an image of a process so fast that it looks blurry if the shutter is open for even a billionth of a second? This is the type of challenge scientists on experiments like CMS and ATLAS face as they study particle collisions at CERN’s Large Hadron Collider. An extremely fast new detector inside the CMS detector will allow physicists to get a sharper image of particle collisions.

The USCMS collaboration has received approval from the Department of Energy to move forward with final planning for upgrades to the giant CMS particle detector at the Large Hadron Collider. The upgrades will enable it to take clearer, more precise images of particle events emerging from the upcoming High-Luminosity LHC, whose collision rate will get a 10-fold boost compared to the collider’s design value when it comes online in 2027.

In his doctoral thesis, Todd details a method for data analysis in a way that minimizes a source of bias in some particle physics experiments. By analyzing information from two distant detectors simultaneously rather than sequentially, he incorporated the lack of precision knowledge in both detectors. A University of Cincinnati graduate, Todd used data from Fermilab’s MINOS and MINOS+ experiments, and his analysis can be applied in other neutrino research as well.

The building boom

These international projects, selected during the process to plan the future of U.S. particle physics, are all set to come online within the next 10 years.

Machine learning will become an even more important tool when scientists upgrade to the High-Luminosity Large Hadron Collider.