| CMS Note | |
| Report number | CMS-CR-2023-024 |
| Title | The Level 1 Scouting system of the CMS experiment |
| Author(s) | James, Thomas Owen (CERN) |
| Publication | 2023 |
| Collaboration | CMS Collaboration |
| Imprint | 28 Feb 2023 |
| Number of pages | 8 |
| Presented at | 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Bari, It, 24 - 28 Oct 2022 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; CMS |
| Keywords | Trigger |
| Abstract | A novel data collection system, known as Level-1 (L1) Scouting, is being introduced as part of the L1 trigger of the CMS experiment at the CERN Large Hadron Collider. The L1 trigger of CMS, implemented in FPGA-based hardware, selects events at 100 kHz for full read-out, within a short 3 microsecond latency window. The L1 Scouting system collects and stores the reconstructed particle primitives and intermediate information of the L1 trigger processing chain, at the full 40 MHz bunch crossing rate. This system will provide vast amounts of data for detector diagnostics, luminosity measurements, and the study of otherwise inaccessible signatures, either too common to fit in the L1 accept budget, or with requirements orthogonal to the standard physics triggers. Demonstrator systems consisting of PCIe-based FPGA stream-processing boards and associated host PCs have been deployed at CMS to capture data from a multitude of L1 trigger sub-systems. In addition, a neural-network based re-calibration and fake identification engine has been developed using the Micron Deep Learning Accelerator FPGA framework. An overview of the new system, and the first results from 2022 data taking are shown. Plans and development progress towards the continued expansion of the L1 Scouting system for the High Luminosity LHC, are also presented. |
Rekord stworzony 2023-03-20, ostatnia modyfikacja 2023-03-20
