For the first time, the CMS experiment has demonstrated that machine learning can be used to reconstruct collisions at the LHC. This new approach improves the precision compared to traditional methods—whilst also running much faster—helping ph…

After an eight-week journey, the first HGCAL absorber structure (CE-H1) was delivered to CERN and is ready to be assembled, just 100 metres above where the detector will eventually be located. Seventeen enormous boxes were delivered at the CMS experi…

  The CMS experiment utilises cutting-edge machine learning techniques to search for microscopic, quantum black holes and other exotic objects that evaporate in an instant. Black holes are amongst the most fascinating objects in the universe. Th…