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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…

Graphical Processing Units (GPUs) have recently become a valuable computing tool for the acquisition of data at high rates and for a relatively low cost. The devices work by parallelizing the code into thousands of threads, each executing a…

Instrumentation and Detectors · Physics 2016-11-16 W. Gohn

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…

Phase-sensitive optical time-domain reflectometry {\Phi}-OTDR has emerged as a promising sensing technology in Internet of Things (IoT) infrastructures, enabling large-scale distributed acoustic sensing (DAS) for real-time monitoring at the…

Signal Processing · Electrical Eng. & Systems 2025-10-31 Xiyang Lan , Xin Li , Yinglei Teng

This paper discusses the present data acquisition system (DAQ) of the COMPASS experiment at CERN and presents development of a new DAQ. The new DAQ must preserve present data format and be able to communicate with FPGA cards. Parts of the…

Instrumentation and Detectors · Physics 2015-06-25 M. Bodlak , V. Frolov , V. Jary , S. Huber , I. Konorov , D. Levit , J. Novy , S. Paul , R. Salac , M. Virius

The data acquisition software framework, EUDAQ, was originally developed to read out data from the EUDET-type pixel telescopes. This was successfully used in many test beam campaigns in which an external position and time reference were…

The D0 experiment at Fermilab relies on a central Oracle database for storing all detector calibration information. Access to this data is needed by hundreds of physics applications distributed worldwide. In order to meet the demands of…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-11-26 Herbert Greenlee , Robert Illingworth , Jim Kowalkowski , Anil Kumar , Lee Lueking , Taka Yasuda , Margherita Vittone , Stephen White

The XENON1T liquid xenon time projection chamber is the most sensitive detector built to date for the measurement of direct interactions of weakly interacting massive particles with normal matter. The data acquisition system (DAQ) is…

Instrumentation and Detectors · Physics 2019-08-08 E. Aprile , J. Aalbers , F. Agostini , M. Alfonsi , L. Althueser , F. D. Amaro , V. C. Antochi , F. Arneodo , D. Barge , L. Baudis , B. Bauermeister , L. Bellagamba , M. L. Benabderrahmane , T. Berger , P. A. Breur , A. Brown , E. Brown , S. Bruenner , G. Bruno , R. Budnik , L. Bütikofer , C. Capelli , J. M. R. Cardoso , D. Cichon , D. Coderre , A. P. Colijn , J. Conrad , J. P. Cussonneau , M. P. Decowski , P. de Perio , P. Di Gangi , A. Di Giovanni , S. Diglio , A. Elykov , G. Eurin , J. Fei , A. D. Ferella , A. Fieguth , W. Fulgione , P. Gaemers , A. Gallo Rosso , M. Galloway , F. Gao , M. Garbini , L. Grandi , Z. Greene , C. Hasterok , E. Hogenbirk , J. Howlett , M. Iacovacci , R. Itay , F. Joerg , S. Kazama , A. Kish , M. Kobayashi , G. Koltman , A. Kopec , H. Landsman , R. F. Lang , L. Levinson , Q. Lin , S. Lindemann , M. Lindner , F. Lombardi , J. A. M. Lopes , E. López Fune , C. Macolino , J. Mahlstedt , A. Manfredini , F. Marignetti , T. Marrodán Undagoitia , J. Masbou , D. Masson , S. Mastroianni , M. Messina , K. Micheneau , K. Miller , A. Molinario , K. Morå , Y. Mosbacher , M. Murra , J. Naganoma , K. Ni , U. Oberlack , K. Odgers , B. Pelssers , R. Peres , F. Piastra , J. Pienaar , V. Pizzella , G. Plante , R. Podviianiuk , H. Qiu , D. Ramírez García , S. Reichard , B. Riedel , A. Rocchetti , N. Rupp , J. M. F. dos Santos , G. Sartorelli , N. Šarčević , M. Scheibelhut , S. Schindler , J. Schreiner , D. Schulte , M. Schumann , L. Scotto Lavina , M. Selvi , P. Shagin , E. Shockley , M. Silva , H. Simgen , C. Therreau , D. Thers , F. Toschi , G. Trinchero , C. D. Tunnell , N. Upole , M. Vargas , G. Volta , O. Wack , H. Wang , Y. Wei , C. Weinheimer , D. Wenz , C. Wittweg , J. Wulf , J. Ye , Y. Zhang , T. Zhu , J. P. Zopounidis , M. Pieracci , C. Tintori

The Spin Physics Detector (SPD) experiment at the NICA collider in JINR aims to investigate the spin structure of nucleons and spin-related phenomena. The combination of the number of background processes, the event rate and conditions for…

We have developed a novel data acquisition system for measuring tracking parameters of a silicon detector in a particle beam. The system is based on a commercial Analog-to-Digital VME module and a PC Linux based Data Acquisition System.…

The prompt and accurate detection of faults and abnormalities in electric transmission lines is a critical challenge in smart grid systems. Existing methods mostly rely on model-based approaches, which may not capture all the aspects of…

Machine Learning · Computer Science 2020-09-16 Peyman Tehrani , Marco Levorato

Achieving reliable real-time control of tokamak plasmas is essential for sustaining high-performance operation in next-generation fusion reactors. A major challenge is the accurate and timely prediction of edge-localized modes (ELMs),…

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…

EUDAQ is a generic data acquisition software developed for use in conjunction with common beam telescopes at charged particle beam lines. Providing high-precision reference tracks for performance studies of new sensors, beam telescopes are…

Ensuring the safety of real-world systems is challenging, especially when they rely on learned perception modules to infer the system state from high-dimensional sensor data. These perception modules are vulnerable to epistemic uncertainty,…

Robotics · Computer Science 2025-11-14 Kai S. Yun , Navid Azizan

The Fermilab Linac experiences longitudinal beam phase drift, leading to increased particle loss, conventionally corrected through labor-intensive manual RF adjustments. This project explores machine learning-based automation for drift…

Accelerator Physics · Physics 2025-11-25 R. R. Chichili , J. A. Sulskis , R. Sharankova , B. Vamanan , S. Ravi

The scarcity of labelled data is specifically an urgent challenge in the field of quantum machine learning (QML). Two transfer fusion frameworks are proposed in this paper to predict the labels of a target domain data by aligning its…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Xi He , Feiyu Du , Xiaohan Yu , Yang Zhao , Tao Lei

In September 2008 the Slim5 collaboration submitted a low material budget silicon demonstrator to test with 12 GeV/c protons, at the PS-T9 test-beam at CERN. Inside the reference telescope, two different detectors were placed as device…

Instrumentation and Detectors · Physics 2019-08-14 M. Bomben

The DZERO experiment, located at the Fermi National Accelerator Laboratory, has recently started the Run 2 physics program. The detector upgrade included a new Data Acquisition/Level 3 Trigger system. Part of the design for the DAQ/Trigger…

Many scientific applications from rare-event searches to condensed matter system characterization to high-rate nuclear experiments require time-domain triggering on a raw stream of data, where the triggering is generally threshold-based or…

Instrumentation and Detectors · Physics 2024-02-29 S. L. Watkins