CERN Accelerating science

ATLAS Note
Report number	ATL-DAQ-PROC-2018-008
Title	Fast track segment finding in the Monitored Drift Tubes of the ATLAS Muon Spectrometer using a Legendre transform algorithm
Author(s)	Ntekas, Konstantinos (University of California, Irvine) ; Taffard, Anyes (University of California, Irvine) ; Armstrong, Alexander III (University of California, Irvine) ; Hazen, Eric (Boston University, Department of Physics) ; Gastler, Daniel Edward (Boston University, Department of Physics) ; Butler, John (Boston University, Department of Physics) ; Black, Kevin (Boston University, Department of Physics) ; Finelli, Kevin Daniel (Boston University, Department of Physics) ; Martinez Outschoorn, Verena (University of Massachusetts, Amherst) ; Costa De Paiva, Thiago (University of Massachusetts, Amherst)
Corporate Author(s)	The ATLAS collaboration
Collaboration	ATLAS Collaboration
Publication	2018
Imprint	20 Jun 2018
Number of pages	11
In:	4th International Workshop Connecting The Dots 2018, Seattle, Washington, 20 - 22 Mar 2018
Subject category	Particle Physics - Experiment
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Free keywords	MDT ; Trigger ; Phase-2 ; Segment ; Legendre ; ATCA ; FPGA
Abstract	The upgrade of the ATLAS first-level muon trigger for High- Luminosity LHC foresees incorporating the precise tracking of the Monitored Drift Tubes in the current system based on Resistive Plate Chambers and Thin Gap Chambers to improve the accuracy in the transverse momentum measurement and control the single muon trigger rate by suppressing low quality fake triggers. The core of the MDT trigger algorithm is the segment identification and reconstruction which is performed per MDT chamber. The reconstructed segment positions and directions are then combined to extract the muon candidate’s transverse momentum. A fast pattern recognition segment finding algorithm, called the Legendre transform, is proposed to be used for the MDT trigger, implemented in a FPGA housed on a ATCA blade.