In January, over 100 graduate students, postdocs and faculty from around the world joined the Fermilab LHC Physics Center for its annual CMS Data Analysis School. Even though there are similar CMS schools hosted by other institutions around the globe, the LHC Physics Center school remains the one that provides the most comprehensive curriculum and the most attended one.
The 17 CMS physicists selected in a competitive process as Distinguished Researchers for 2020, 14 juniors and three seniors, are accomplished individuals at various stages of their careers. The program provides resources to help strengthen their research programs while contributing to research activities at the LHC Physics Center.
From Jan. 14-18, more than 100 graduate students, postdocs and faculty from around the world came to Fermilab to participate in the school. Students are coached by CMS experts in hands-on sessions covering topics such as particle identification, statistics, machine learning and triggering. They also learn how to write high-quality scientific publications.
Machine learning is revolutionizing data analysis. Recent leaps in driverless car navigation and the voice recognition features of personal assistants are possible because of this form of artificial intelligence. As data sets in the Information Age continue to grow, companies are building tools that make machine learning faster and more efficient. Fermilab is taking cues from industry to improve their own “big data” processing challenges.
The Distinguished Researchers program has been a defining feature of the LPC at Fermilab for the last eight years. The 21 CMS physicists selected as LPC Distinguished Researchers, 18 juniors and three seniors, are accomplished individuals at different stages of their careers. This program provides resources to help strengthen and expand their research programs. This year’s Distinguished Researchers were selected by the LPC Management Board in a competitive process.