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A Hardware Track-Trigger for CMS

at the High Luminosity LHC

  • Thomas Owen James
Book

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Thomas Owen James
    Pages 1-9
  3. Thomas Owen James
    Pages 11-25
  4. Thomas Owen James
    Pages 27-38
  5. Thomas Owen James
    Pages 39-68
  6. Thomas Owen James
    Pages 69-87
  7. Thomas Owen James
    Pages 89-113
  8. Thomas Owen James
    Pages 115-121

About this book

Introduction

The work described in this PhD thesis is a study of a real implementation of a track-finder system which could provide reconstructed high transverse momentum tracks to the first-level trigger of the High Luminosity LHC upgrade of the CMS experiment. This is vital for the future success of CMS, since otherwise it will be impossible to achieve the trigger selectivity needed to contain the very high event rates. The unique and extremely challenging requirement of the system is to utilise the enormous volume of tracker data within a few microseconds to arrive at a trigger decision.

The track-finder demonstrator described proved unequivocally, using existing hardware, that a real-time track-finder could be built using present-generation FPGA-based technology which would meet the latency and performance requirements of the future tracker. This means that more advanced hardware customised for the new CMS tracker should be even more capable, and will deliver very significant gains for the future physics returns from the LHC.

Keywords

Hardware Trigger Track Trigger FPGA High Energy Physics Level 1 Tracking Level 1 Trigger CMS Experiment Kalman Filter Hough Transform CMS Tracker Trigger decision

Authors and affiliations

  • Thomas Owen James
    • 1
  1. 1.Department of PhysicsImperial College LondonLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-31934-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-030-31933-5
  • Online ISBN 978-3-030-31934-2
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site