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Oxana Smirnova

Oxana Smirnova

Senior Lecturer, Deputy Head of division

Oxana Smirnova

Performance of the upgraded PreProcessor of the ATLAS Level-1 Calorimeter Trigger

Author

  • G Aad
  • Torsten Åkesson
  • Simona Bocchetta
  • Lene Bryngemark
  • Eric Edward Corrigan
  • Caterina Doglioni
  • Jannik Geisen
  • Kristian Gregersen
  • Eva Brottmann Hansen
  • Vincent Hedberg
  • Göran Jarlskog
  • Edgar Kellermann
  • Balazs Konya
  • Else Lytken
  • Katja Mankinen
  • Caterina Marcon
  • Ulf Mjörnmark
  • Geoffrey André Adrien Mullier
  • Ruth Pöttgen
  • Trine Poulsen
  • Eleni Skorda
  • Oxana Smirnova
  • L Zwalinski

Summary, in English

The PreProcessor of the ATLAS Level-1 Calorimeter Trigger prepares the analogue trigger signals sent from the ATLAS calorimeters by digitising, synchronising, and calibrating them to reconstruct transverse energy deposits, which are then used in further processing to identify event features. During the first long shutdown of the LHC from 2013 to 2014, the central components of the PreProcessor, the Multichip Modules, were replaced by upgraded versions that feature modern ADC and FPGA technology to ensure optimal performance in the high pile-up environment of LHC Run 2. This paper describes the features of the new Multichip Modules along with the improvements to the signal processing achieved. c 2020 CERN for the benefit of the ATLAS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab.

Department/s

  • Particle and nuclear physics
  • eSSENCE: The e-Science Collaboration

Publishing year

2020

Language

English

Publication/Series

Journal of Instrumentation

Volume

15

Issue

11

Document type

Journal article

Publisher

IOP Publishing

Topic

  • Accelerator Physics and Instrumentation
  • Subatomic Physics

Keywords

  • Calorimeters
  • Trigger concepts and systems (hardware and software)
  • Microprocessor chips
  • Piles
  • Signal processing
  • Central component
  • FPGA technology
  • Level-1
  • Optimal performance
  • Pile-ups
  • Transverse energy
  • Multichip modules

Status

Published

ISBN/ISSN/Other

  • ISSN: 1748-0221