# Barrel muon track reconstruction with deep learning for Level-1 trigger data scouting in the CMS experiment

- Institution: CERN
- Department: CERN openlab Summer Student Programme 2024
- Speaker: Fabio Cufino
- Year: 2024
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3014079)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The study uses the Run-3 data scouting demonstrator to refine muon track reconstruction in the barrel region at the Level-1 trigger. By applying machine learning algorithms designed for FPGA deployment, the study improves online reconstruction of muon parameters using stub-only data..

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## Lectures

1. [Barrel muon track reconstruction with deep learning for Level-1 trigger data scouting in the CMS experiment](https://invisiblenetwork.ai/learn/cern/3014079/1f7b11536686), 9 min (CERN's player)