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D. Prigent

Researcher at CERN

Publications -  11
Citations -  130

D. Prigent is an academic researcher from CERN. The author has contributed to research in topics: Data acquisition & Gigabit Ethernet. The author has an hindex of 7, co-authored 10 publications receiving 130 citations.

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Journal ArticleDOI

The ATLAS Data Acquisition and Trigger: Concept, design and status

Kostantinos Kordas, +191 more
TL;DR: In this article, the authors present the base-line design and implementation of the ATLAS Trigger and Data Acquisition system, in particular the Data Flow and High Level Trigger components, and the status of the installation and commissioning of the system is also presented.
Journal ArticleDOI

The base-line DataFlow system of the ATLAS trigger and DAQ

TL;DR: The base-line design and implementation of the ATLAS DAQ DataFlow system is described, the main components of the Data Flow system, their interactions, bandwidths, and rates are discussed, and performance measurements on a 10% scale prototype are presented.
Proceedings ArticleDOI

ATLAS DataFlow: the read-out subsystem, results from trigger and data-acquisition system testbed studies and from modeling

TL;DR: A discussion of the functionality and real-time properties of the ROS is combined with a presentation of measurement and modeling results for a testbed with a size of about 20% of the final DAQ system, together with extrapolations to the full system.
Journal ArticleDOI

The second level trigger of the ATLAS experiment at CERN's LHC

A. Dos Anjos, +140 more
TL;DR: In this paper, the authors discuss data flow aspects of the design of the second level trigger (LVL2) and present results of performance measurements, which is designed to profit from commodity computing and networking components.
Journal ArticleDOI

ATLAS DataFlow: the read-out subsystem, results from trigger and data-acquisition system testbed studies and from modeling

TL;DR: A discussion of the functionality and real-time properties of the ROS is combined with a presentation of measurement and modelling results for a testbed with a size of about 20% of the final DAQ system, together with extrapolations to the full system.