Aalbers, J., Akerib, D.S., Al Musalhi, A.K. et al. (213 more authors) (2024) The data acquisition system of the LZ dark matter detector: FADR. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1068. 169712. ISSN 0168-9002
Abstract
The Data Acquisition System (DAQ) for the LUX-ZEPLIN (LZ) dark matter detector is described. The signals from 745 PMTs, distributed across three subsystems, are sampled with 100-MHz 32-channel digitizers (DDC-32s). A basic waveform analysis is carried out on the on-board Field Programmable Gate Arrays (FPGAs) to extract information about the observed scintillation and electroluminescence signals. This information is used to determine if the digitized waveforms should be preserved for offline analysis. The system is designed around the Kintex-7 FPGA. In addition to digitizing the PMT signals and providing basic event selection in real time, the flexibility provided by the use of FPGAs allows us to monitor the performance of the detector and the DAQ in parallel to normal data acquisition. The hardware and software/firmware of this FPGA-based Architecture for Data acquisition and Realtime monitoring (FADR) are discussed and performance measurements are described.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Dark matter; Data acquisition; Firmware; FPGA |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences |
Funding Information: | Funder Grant number SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/M003469/1 Science and Technology Facilities Council ST/N000277/1 SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/S000747/1 Science and Technology Facilities Council 2887505 SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/W000547/1 Science and Technology Facilities Council 2480818 SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/N000277/1 SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/N001141/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Oct 2024 12:28 |
Last Modified: | 28 Oct 2024 12:28 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.nima.2024.169712 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218938 |