Level-1 pixel based tracking trigger algorithm for LHC upgrade
Chang-Seong Moon, Aurore Savoy-Navarro

TL;DR
This paper proposes a novel Level-1 pixel-based tracking trigger algorithm for the CMS experiment at CERN's LHC, aiming to enable real-time track reconstruction to reduce trigger rates in high-luminosity conditions.
Contribution
It introduces a fast pixel track reconstruction algorithm integrated with Level-1 trigger system for the HL-LHC upgrade, enhancing real-time data processing capabilities.
Findings
Developed a ROOT-based simulation framework for pixel track reconstruction.
Demonstrated the algorithm's ability to match pixel tracks with Level-1 electron objects.
Showed potential for reducing trigger rates while maintaining high selection efficiency.
Abstract
The Pixel Detector is the innermost detector of the tracking system of the Compact Muon Solenoid (CMS) experiment at CERN Large Hadron Collider (LHC). It precisely determines the interaction point (primary vertex) of the events and the possible secondary vertexes due to heavy flavours ( and quarks); it is part of the overall tracking system that allows reconstructing the tracks of the charged particles in the events and combined with the magnetic field to measure their impulsion. The pixel detector allows measuring the tracks in the region closest to the interaction point. The Level-1 (real-time) pixel based tracking trigger is a novel trigger system that is currently being studied for the LHC upgrade. An important goal is developing real-time track reconstruction algorithms able to cope with very high rates and high flux of data in a very harsh environment. The pixel detector…
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