# Accelerate the CMS electron seeding with extended pixel tracks

- Institution: CERN
- Speaker: Hannah Grace Havel
- Year: 2026
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3026719)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

**Project Description**: With the start of the High Luminosity LHC era, or "phase-2," the upgraded machine will provide unprecedented volumes of data at extreme energies and intensities. Extracting meaningful physics requires advanced data-analysis techniques and algorithms.

Within the CMS experiment, we are developing an innovative online trigger system to handle the enormous data rates expected in phase-2. This will be complemented by a novel Next-Generation Trigger (NGT) Scouting strategy, which records physics events at the full input rate while storing a reduced set of reconstructed physics objects. This approach aims to provide access to rare and unconventional signatures that would otherwise be inaccessible due to data-rate and storage limitations.

In the CMS Tracker, we are exploring the use of phase-2 pixel tracks as seeds for the Gaussian Sum Filter (GSF) tracking algorithm. Currently, trajectory seeds are computed on-the-fly using tracker and calorimeter information, despite existing tracks being available. Historically, this was due to the low efficiency of pixel tracks as GSF seeds.

Our goal is to assess the feasibility of using phase-2 pixel tracks, particularly NGT's recently developed extended pixel tracks, as GSF seeds under different track-quality criteria. If GSF physics performance is maintained, eliminating trajectory-seed computation could significantly accelerate the CMS HLT, making this a high-impact contribution.

**Supervisor**: Bruno Alves, Wahid Redjeb

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## Lectures

1. [Accelerate the CMS electron seeding with extended pixel tracks](https://invisiblenetwork.ai/learn/cern/3026719/de138937454d), 14 min (CERN's player)