Abstract

The CMS experiment at the CERN LHC will be upgraded to accommodate the 5-fold increase in the instantaneous luminosity expected at the High-Luminosity LHC (HL-LHC) [1]. Concomitant with this increase will be an increase in the number of interactions in each bunch crossing and a significant increase in the total ionising dose and fluence. One part of this upgrade is the replacement of the current endcap calorimeters with a high granularity sampling calorimeter equipped with silicon sensors, designed to manage the high collision rates [2]. As part of the development of this calorimeter, a series of beam tests have been conducted with different sampling configurations using prototype segmented silicon detectors. In the most recent of these tests, conducted in late 2018 at the CERN SPS, the performance of a prototype calorimeter equipped with ≈12,000 channels of silicon sensors was studied with beams of high-energy electrons, pions and muons. This paper describes the custom-built scalable data acquisition system that was built with readily available FPGA mezzanines and low-cost Raspberry Pi computers.

Highlights

  • Prepared for submission to JINSTGranularity Calorimeter Prototype arXiv:2012.03876v2 [physics.ins-det] 8 Dec 2020

  • The ASIC used to read out of the signals from the silicon cells was the Skiroc2-CMS [4], a custom ASIC designed by the OMEGA group at Ecole Polytechnique

  • Four delay wire chambers (DWC) [13] measured the trajectory and impact of the particles in the beam, two scintillator detectors served as external trigger source and two micro-channel plates (MCP) had been used to provide fast signals for reference timing measurement of the incident particles [14]

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Summary

Prepared for submission to JINST

Granularity Calorimeter Prototype arXiv:2012.03876v2 [physics.ins-det] 8 Dec 2020. University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, R. Indian Institute of Science Education and Research, Dr Homi Bhabha Road 411008, Pune, India. International Intergovernmental Organization Joint Institute for Nuclear Research JINR, Joliot-Curie St, Dubna 141980, Moscow, Russia. Laboratoire Leprince-Ringuet CNRS/IN2P3, Route de Saclay, 91128 Ecole Polytechnique, France. M.V. Lomonosov Moscow State University (MSU Moscow), 1/2, Leninskie gory 119 991, Moscow, Russia. National Central University Taipei (NCU), No.300, Jhongda Rd 32001, Jhongli City Taiwan. National Technical University of Athens, 9, Heroon Polytechneiou Street 15780, Athens, Greece. Laboratoire OMEGA CNRS/IN2P3, Route de Saclay 91128, Ecole Polytechnique, France

Sc n ico
DAQ System Architecture
HDMI connector
Readout board
Sync board
SYNC BOARD
Data acquisition software
To readout boards and AHCAL
READOUT BOARDS
Data unpacking and first analysis steps
System synchronization
Collected Data
Summary
Full Text
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