The DAQ system of the 12,000 channel CMS high granularity calorimeter prototype
2021
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). 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. 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
${\approx}12,000\rm{~channels}$ 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.
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