Uncovering subtle signals of New Physics at the LHC with Fast Machine Learning
Dr. Christian Herwig
Postdoctoral Research Associate
CMS Department, Fermi National Accelerator Laboratory
The next generation of particle detectors will feature sensors with extreme dynamic range and spatial segmentation to probe physical interactions at an unprecedented level of detail. For high-intensity experiments such as those planned for the high-luminosity LHC, this demands trigger and data-acquisition systems capable of distilling Petabyte-per-second data rates to manageable levels, while preserving subtle signs of New Physics. These challenging scientific tasks are increasingly being performed with modern Machine Learning methods, demanding novel implementations that can scale to the most extreme data rates and latencies. In this talk, I will introduce selected scientific aspirations of the CMS experiment at the HL-LHC, and highlight recent developments to increase our physics potential through Fast Machine Learning techniques.