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Modern DAQ systems typically use the FPGA-based PCIe cards to concentrate and deliver the data to a computer used as an entry node of the data processing network. This paper presents a QEMU-based methodology for the co-development of the…

Instrumentation and Detectors · Physics 2023-09-28 Wojciech M. Zabołotny

In high energy physics experiments (HEP), high speed and fault resilient data communication is needed between detectors/sensors and the host PC. Transient faults can occur in the communication hardware due to various external effects like…

Instrumentation and Detectors · Physics 2015-04-01 Swagata Mandal , Suman Sau , Amlan Chakrabarti , Subhasis Chattopadhyay

High energy physics experiments in KEK/Japan rush into over KHz trigger stage. Thus, we need a successor of the data acquisition(DAQ) system that replaces the CAMAC or FASTBUS systems. To meet these needs, we have developed a DAQ system…

As the development of electronic science and technology, electronic data acquisition (DAQ) system is more and more widely applied to nuclear physics experiments. Workstations are often utilized for data storage, data display, data…

Instrumentation and Detectors · Physics 2018-06-26 Hongwei Yu , Kezhu Song , Junfeng Yang , Kehan Li , Tengfei Chen , Shiyu Luo , Cheng Tang , Han Yu

A data acquisition (DAQ) system has been developed which will read out and control calorimeters serving as prototype systems for a future detector at an electron-positron linear collider. This is a modular, flexible and scalable DAQ system…

A data acquisition (DAQ) system is described which will be used for the next generation of prototype calorimeters using particle flow algorithms for the International Linear Collider (ILC). The design is sufficiently generic and scalable…

Instrumentation and Detectors · Physics 2019-08-14 Valeria Bartsch

Caribou is a versatile data acquisition (DAQ) system developed within several collaborative frameworks (CERN EP R&D, DRD3, AIDAinnova, and Tangerine) to support laboratory and test-beam characterization of novel silicon pixel detectors. It…

Present state of the art applications in the area of high energy physics experiments (HEP), radar communication, satellite communication and bio medical instrumentation require fault resilient data acquisition (DAQ) system with the data…

Hardware Architecture · Computer Science 2015-07-08 Swagata Mandal , Suman Sau , Amlan Chakrabarti , Jogendra Saini , Sushanta Kumar Pal , Subhasish Chattopadhyay

A large number of data need to be transmitted in high-speed between Field Programmable Gate Array (FPGA) and Advanced RISC Machines 11 micro-controller (ARM11) when we design a small data acquisition (DAQ) system for nuclear experiments.…

Instrumentation and Detectors · Physics 2013-04-12 Wenxiong Zhou , Yanyu Wang , Gangyang Nan , Jianchuan Zhang

CuboDAQ is a custom data acquisition system to read out SiPM-based detectors. It features electronic boards to digitize the SiPMs signal, an FPGA-based system-on-module board, the connectivity to transmit the data to a central server, and…

Instrumentation and Detectors · Physics 2025-01-10 Ettore Zaffaroni , Guido Haefeli

The data acquisition system (DAQ) of the future Cherenkov Telescope Array (CTA) must be ef- ficient, modular and robust to be able to cope with the very large data rate of up to 550 Gbps coming from many telescopes with different…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 Etienne Lyard , Roland Walter , Karl Kosack , Jean Jacquemier , Igor Oya , Peter Wegner , Matthias Fuessling , Xin Wu

Caribou is a flexible open-source DAQ system developed and used within several collaborative frameworks (CERN EP R&D, RD50, AIDAinnova) for laboratory and high-rate beam tests and easy integration of new silicon-pixel detector prototypes.…

Instrumentation and Detectors · Physics 2023-02-22 Eric Buschmann

Meta-software for data acquisition (DAQ) is a new approach to design the DAQ systems for experimental setups in experiments in high energy physics (HEP). It abstracts from experiment-specific data processing logic, but reflects it through…

High Energy Physics - Experiment · Physics 2020-05-15 S. Ryzhikov

The rigorous analysis of specialized physical processes often demands custom data acquisition architectures that offer flexibility and precision beyond the capabilities of general-purpose commercial loggers. This paper presents the design…

We present a data acquisition~(DAQ) software based on the MIDAS framework, specifically for gaseous detectors to support the detector deployments and applications. It implements a comprehensive suite of functions, including parameter…

Instrumentation and Detectors · Physics 2026-04-14 Yuanchun Liu , Tao Li , Yu Chen , Ke Han , Leyan Li , Shaobo Wang , Wei Wang

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…

Instrumentation and Detectors · Physics 2024-08-20 J. Aalbers , D. S. Akerib , A. K. Al Musalhi , F. Alder , C. S. Amarasinghe , A. Ames , T. J. Anderson , N. Angelides , H. M. Araújo , J. E. Armstrong , M. Arthurs , A. Baker , S. Balashov , J. Bang , E. E. Barillier , J. W. Bargemann , K. Beattie , T. Benson , A. Bhatti , A. Biekert , T. P. Biesiadzinski , H. J. Birch , E. Bishop , G. M. Blockinger , B. Boxer , C. A. J. Brew , P. Brás , J. H. Buckley , S. Burdin , M. Buuck , M. C. Carmona-Benitez , M. Carter , A. Chawla , H. Chen , J. J. Cherwinka , Y. T. Chin , N. I. Chott , M. V. Converse , A. Cottle , G. Cox , D. Curran , C. E. Dahl , A. David , J. Delgaudio , S. Dey , L. de Viveiros , L. Di Felice , T. Dimino , C. Ding , J. E. Y. Dobson , E. Druszkiewicz , S. R. Eriksen , A. Fan , N. M. Fearon , N. Fieldhouse , S. Fiorucci , H. Flaecher , E. D. Fraser , T. M. A. Fruth , R. J. Gaitskell , A. Geffre , R. Gelfand , J. Genovesi , C. Ghag , R. Gibbons , S. Gokhale , J. Green , M. G. D. van der Grinten , J. J. Haiston , C. R. Hall , S. Han , E. Hartigan-O'Connor , S. J. Haselschwardt , M. A. Hernandez , S. A. Hertel , G. Heuermann , G. J. Homenides , M. Horn , D. Q. Huang , D. Hunt , E. Jacquet , R. S. James , J. Johnson , A. C. Kaboth , A. C. Kamaha , M. Kannichankandy , D. Khaitan , A. Khazov , I. Khurana , J. Kim , Y. D. Kim , J. Kingston , R. Kirk , D. Kodroff , L. Korley , E. V. Korolkova , M. Koyuncu , H. Kraus , S. Kravitz , L. Kreczko , V. A. Kudryavtsev , D. S. Leonard , K. T. Lesko , C. Levy , J. Lin , A. Lindote , R. Linehan , W. H. Lippincott , C. Loniewski , M. I. Lopes , W. Lorenzon , C. Lu , S. Luitz , P. A. Majewski , A. Manalaysay , R. L. Mannino , C. Maupin , M. E. McCarthy , G. McDowell , D. N. McKinsey , J. McLaughlin , J. B. Mclaughlin , R. McMonigle , E. H. Miller , E. Mizrachi , A. Monte , M. E. Monzani , M. Moongweluwan , J. D. Morales Mendoza , E. Morrison , B. J. Mount , M. Murdy , A. St. J. Murphy , A. Naylor , H. N. Nelson , F. Neves , A. Nguyen , J. A. Nikoleyczik , H. Oh , I. Olcina , M. A. Olevitch , K. C. Oliver-Mallory , J. Orpwood , K. J. Palladino , J. Palmer , N. J. Pannifer , N. Parveen , S. J. Patton , B. Penning , G. Pereira , E. Perry , T. Pershing , A. Piepke , Y. Qie , J. Reichenbacher , C. A. Rhyne , Q. Riffard , G. R. C. Rischbieter , H. S. Riyat , R. Rosero , T. Rushton , D. Rynders , D. Santone , R. Sarkis , A. B. M. R. Sazzad , R. W. Schnee , S. Shaw , T. Shutt , J. J. Silk , C. Silva , G. Sinev , J. Siniscalco , W. Skulski , R. Smith , V. N. Solovov , P. Sorensen , J. Soria , I. Stancu , A. Stevens , K. Stifter , B. Suerfu , T. J. Sumner , M. Szydagis , W. C. Taylor , D. R. Tiedt , M. Timalsina , Z. Tong , D. R. Tovey , J. Tranter , M. Trask , M. Tripathi , D. R. Tronstad , A. Vacheret , A. C. Vaitkus , J. Vaitkus , O. Valentino , V. Velan , A. Wang , J. J. Wang , Y. Wang , J. R. Watson , R. C. Webb , L. Weeldreyer , T. J. Whitis , M. Williams , W. J. Wisniewski , F. L. H. Wolfs , J. D. Wolfs , S. Woodford , D. Woodward , C. J. Wright , Q. Xia , X. Xiang , J. Xu , M. Yeh , J. Yin

The Real-Time Systems Engineering Department of the Scientific Computing Division at Fermilab is developing a flexible, scalable, and powerful data-acquisition (DAQ) toolkit which serves the needs of experiments from bench-top hardware…

Muon scattering tomography is a non-destructive imaging technique that utilizes the penetrating properties and multiple Coulomb scattering of muons to produce detailed internal images of objects. This information is crucial for various…

Instrumentation and Detectors · Physics 2026-04-17 Subhendu Das , Sridhar Tripathy , Jaydeep Datta , Nayana Majumdar , Supratik Mukhopadhyay

A real-time Data Acquisition (DAQ) system for the CULTASK axion haloscope experiment was constructed and tested. The CULTASK is an experiment to search for cosmic axions using resonant cavities, to detect photons from axion conversion…

Instrumentation and Detectors · Physics 2021-11-30 MyeongJae Lee , ByeongRok Ko , Saebyeok Ahn

We have built a high precision (24-bit) data acquisition (DAQ) system with eight simultaneously sampling input channels for the measurement of the electric dipole moment (EDM) of the electron. The DAQ system consists of two main components,…

Instrumentation and Detectors · Physics 2015-05-28 Young Jin Kim , Brandon Kunkler , Chen-Yu Liu , Gerard Visser
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