CERN — en kort innføring

• Nils Høimyr (CERN)

Room: 61/1-007 - Room B Overblikk over CERN og LHC, samt IT utfordringer på CERN.

Min erfaring på CERN som teknisk student

• Jenny Lunde (Norwegian University of Science and Technology (NTNU) (NO))

Room: 61/1-007 - Room B Student ved NTNU, fysikk og matematikk, integrert master.

Å finne nålen i nålstakken i løpet av nanosekunder

• Thea Aarrestad (ETH Zurich (CH))

Room: 61/1-007 - Room B At the CERN Large Hadron Collider, protons are brought to collide hundreds of millions of times per second. The collision debris allows us to study the fundamental building blocks of the universe and look for hints of new forces and particles. The vast majority of the collision data are immediately discarded by a real-time event filtering system due to storage and computational limitations. While most of these data are uninterresting, signals of new physics might be inadvertendly thrown away in the process. The first stage of this event filtering system consists of hundreds of field-programmable gate arrays (FPGAs), tasked with rejecting over 98% of the proton collisions within a few microseconds. With the start of High Luminosity LHC in 2029, a more granular detector and more particles per collision will increase the event complexity significantly, and ultimately require the FPGA farm to process an amount of data comparable to 5% of the total internet traffic. In this talk, I will discuss how real-time Machine Learning (ML) is used to process and filter this enormous amount of data in order to improve physics acceptance, and how ML can be used to select data in ways never before performed at colliders.

Besøk ved CMS Room: CMS

Besøk på utstillingen i "Globe of Science and Innovation"

• Marianne Brekkum (University of South-Eastern Norway (NO))

Room: Globe — bygning 80

Utbedring av simuleringsverktøyet ImpedanceWake2D

• Eskil Vik (Norwegian University of Science and Technology (NTNU) (NO))

Room: 61/1-007 - Room B

Validerings studier av ATLAS ITkPix

• Marianne Brekkum (University of South-Eastern Norway (NO))

Room: 61/1-007 - Room B