scholarly journals The Data Acquisition System for the ATLAS Phase-II Tile Calorimeter Demonstrator

2021 ◽  
Vol 253 ◽  
pp. 01002
Author(s):  
Fernando Carrió Argos

The Tile Calorimeter (TileCal) is the central hadronic calorimeter of the ATLAS experiment at Large Hadron Collider (LHC). The TileCal readout system consists of about 10,000 channels. In 2025, the LHC will be upgraded leading into the High Luminosity LHC (HL-LHC). The HL-LHC will be capable to deliver an instantaneous luminosity up to seven times compared to the LHC nominal luminosity. The TileCal Phase-II upgrade will replace the majority of the on-detector and off-detector electronics using a new readout schema for the HL-LHC era. The on-detector electronics will digitize and transmit calorimeter signals to the off-detector electronics at the bunch crossing frequency. In the counting rooms, the off-detector electronics will store the digitized samples in pipelined buffers and compute reconstructed trigger objects for the first level of trigger. The TileCal Phase-II upgrade project has undertaken an extensive R&D program which includes the development of a Demonstrator module to evaluate the performance of the new clock and readout architecture for the HL-LHC. A Demonstrator module containing the upgrade on-detector readout electronics was built, tested during several test beam campaigns, and inserted into the ATLAS experiment. The Demonstrator module is operated and read out using a Tile PreProcessor (TilePPr) Demonstrator which enables backward compatibility with the present ATLAS Trigger and Data AcQuisition and the Timing, Trigger and Command systems. This contribution describes the components of the clock distribution and data acquisition system for the Demonstrator module, and its implementation in the ATLAS experiment.

2021 ◽  
Vol 251 ◽  
pp. 04019
Author(s):  
Andrei Kazarov ◽  
Adrian Chitan ◽  
Andrei Kazymov ◽  
Alina Corso-Radu ◽  
Igor Aleksandrov ◽  
...  

The ATLAS experiment at the Large Hadron Collider (LHC) operated very successfully in the years 2008 to 2018, in two periods identified as Run 1 and Run 2. ATLAS achieved an overall data-taking efficiency of 94%, largely constrained by the irreducible dead-time introduced to accommodate the limitations of the detector read-out electronics. Out of the 6% dead-time only about 15% could be attributed to the central trigger and DAQ system, and out of these, a negligible fraction was due to the Control and Configuration subsystem. Despite these achievements, and in order to improve even more the already excellent efficiency of the whole DAQ system in the coming Run 3, a new campaign of software updates was launched for the second long LHC shutdown (LS2). This paper presents, using a few selected examples, how the work was approached and which new technologies were introduced into the ATLAS Control and Configuration software. Despite these being specific to this system, many solutions can be considered and adapted to different distributed DAQ systems.


2019 ◽  
Vol 214 ◽  
pp. 01036 ◽  
Author(s):  
Kosuke Takeda

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.


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