Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 01036 | |
Number of page(s) | 7 | |
Section | T1 - Online computing | |
DOI | https://doi.org/10.1051/epjconf/201921401036 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921401036
Software-based data acquisition system for Level-1 end-cap muon trigger in Atlas Run-3
Kobe University,
Japan
* e-mail: takeda@stu.kobe-u.ac.jp
Published online: 17 September 2019
In 2019, the ATLAS experiment at CERN is planning an upgrade in order to cope with the higher luminosity requirements. In this upgrade, the installation of the new muon chambers for the end-cap muon system will be carriedout. Muon track reconstruction performance can be improved, and fake triggers can be reduced. It is also necessary to develop readout system of trigger data for the Level-1 end-cap muon trigger.
We have decided to develop software-based data acquisition system. There-fore, we have implemented SiTCP technology, which connects a FPGA with the network, on the FPGA of new trigger processor boards.
Due to this implementation, the new DAQ system can take advantage of the latest developments in computing industry. This new readout system architec-ture is based on multi-process software, and can assemble events at a rate of 100 kHz. For data collection, the 10 Gbit Ethernet network switch is used. Moreover, we have optimized these processes to send data to the following sys-tem without any error. Therefore, the built events can be sent with an average throughput of approximately 211 Mbps.
Our newly developed readout system is very generic and it is flexible for modi-fications, extensions and easyto debug. This paper will present the details of the new software-based DAQ system and report the development status for ATLAS Run-3.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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