The LPC hosted its 12th annual school, the second to be held fully virtually, from Jan. 4-14, 2022. More than 120 students, postdocs and faculty from around the world participated.
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Fermilab scientist Elvin Harms serves as teacher, beginning hands-on experiments for the fundamentals class of the U.S. Particle Accelerator School at IARC.
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.
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.
Three groups attending the Hadron Collider School recently toured SiDet.
The course gives participants a good grasp of the reconstruction process, called particle flow, that leads to the identification of each final state particle in a CMS event.
This year featured a record number of school attendees.
The school has a long tradition and has been traveling around the world for now more than 10 years, bringing international students and scientists together for lectures, projects and discussions.
TRISEP 2016 Summer School in Subatomic Particle Physics Dear colleagues, We draw your attention to TRISEP 2016, a summer school for graduate students in subatomic particle physics. The school has been held annually since 2013 and is organized in collaboration between the Perimeter Institute, SNOLab and TRIUMF. This year the school will take place at TRIUMF, in Vancouver, Canada, from June 20 – July 1. More details about the school and a link to registration can be found at the…
For the organizers of the Summer School on Machine Learning for High Energy Physics 2016: This is the first announcement of the Summer School on Machine Learning for High Energy Physics 2016, to be held at Lund, Sweden, June 20-26, 2016, as a satellite event of LHC Physics Conference: http://bit.ly/mlhep2016. The primary goal of the MLHEP school will be a focused introduction to modern machine learning techniques that could improve physics performance for variety of HEP-related problems. Along with “hands-on”…