Speaker
Description
Data bandwidth and storage limitations are a major bottleneck for many physics measurements and searches in high-energy physics. The CMS experiment is addressing these constraints using a range of techniques that increase the number of recorded events by exploiting lightweight data formats designed to preserve physics performance. These approaches continue to evolve and will be further developed for Phase-2.
This talk presents an overview of the compression techniques currently employed in CMS, with a focus on data scouting (reduced-content, trigger-level formats) and RAW Prime, in which reconstructed clusters replace raw data packets from the silicon strip tracker. Their impact on physics analyses will be discussed. We summarise how these methods enable lower kinematic thresholds for high-rate triggers, particularly relevant for low-mass physics and soft-object signatures, while maintaining manageable dataset sizes. Finally, we outline ongoing developments for Run 3 and the HL-LHC.
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