The data acquisition system of the LZ dark matter detector: FADR
- SLAC; Stanford U., Phys. Dept.; KIPAC, Menlo Park
- Oxford U.
- University Coll. London
- Michigan U.
- Imperial Coll., London
- Maryland U.
- Rutherford
- Brown U. (main)
- Michigan U.; Zurich U.
- UC, Santa Barbara
- LBNL, Berkeley
- Wisconsin U., Madison
- UC, Berkeley; LBNL, Berkeley
- Edinburgh U.
- SUNY, Albany
- UC, Davis
- LIP, Coimbra
- Washington U., St. Louis
- Liverpool U.
- Penn State U.
- Royal Holloway, U. of London
- South Dakota Sch. Mines Tech.
- Rochester U.
- Oxford U.; University Coll. London
- Unlisted, US
- Northwestern U.; Fermilab
- King's Coll. London
- Bristol U.
- University Coll. London; Sydney U.
- RIKEN BNL
- Massachusetts U., Amherst
- Alabama U.
- UCLA
- IBS, Daejeon, CUP
- Sheffield U.
- LBNL, Berkeley; Texas U.; Texas U., TCC
- SLAC; Stanford U., Phys. Dept.
- LLNL, Livermore
- Northwestern U.
- LLNL, Livermore; Maryland U.
- SLAC; Stanford U., Phys. Dept.; KIPAC, Menlo Park; Vatican Astron. Observ.
- Black Hills State U.
- Rochester U.; New York U.
- Imperial Coll., London; University Coll. London
- SLAC; Stanford U., Phys. Dept.; Fermilab
- LBNL, Berkeley; South Dakota Sch. Mines Tech.
- New York U.
- Texas A-M; HARC, Woodlands
- Brown U. (main); RIKEN BNL
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.
- Research Organization:
- Liverpool U.; IBS, Daejeon, CUP; Vatican Astron. Observ.; Washington U., St. Louis; Northwestern U.; Texas U., TCC; Stanford U., Phys. Dept.; Zurich U.; UC, Santa Barbara; Bristol U.; Texas U.; UC, Davis; South Dakota Sch. Mines Tech.; Rochester U.; Maryland U.; Edinburgh U.; UC, Berkeley; Penn State U.; Sydney U.; Michigan U.; Sheffield U.; King's Coll. London; Wisconsin U., Madison; Oxford U.; University Coll. London; SUNY, Albany; HARC, Woodlands; Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Massachusetts U., Amherst; Imperial Coll., London; LBNL, Berkeley; Texas A-M; Rutherford; Royal Holloway, U. of London; UCLA; New York U.; Unlisted, US; Brown U. (main); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Black Hills State U.; Alabama U.; RIKEN BNL; LIP, Coimbra
- Sponsoring Organization:
- US Department of Energy
- Grant/Contract Number:
- AC02-07CH11359; 89243024CSC000002
- OSTI ID:
- 2467536
- Alternate ID(s):
- OSTI ID: 2478251
OSTI ID: 2555948
- Report Number(s):
- FERMILAB-PUB-24-0631-PPD; oai:inspirehep.net:2789580; arXiv:2405.14732
- Journal Information:
- Nucl.Instrum.Meth.A, Journal Name: Nucl.Instrum.Meth.A Vol. 1068
- Country of Publication:
- United States
- Language:
- English