The ALICE Detector Control System

Chochula, P.; Jirdén, L.; Augustinus, A.; Cataldo, G. de; Torcato, C.; Rosinský, P.; Wallet, L.; Boccioli, M.; Cardoso, L. Granado

doi:10.1109/tns.2009.2039944

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…The remote control of the hardware is done through the Detector Control System (DCS) that allows the operation of the different detectors by means of an interactive and customizable interface. The ITS control system is integrated in the ALICE DCS [5] and is organized into four sub-projects: the SPD, SDD, SSD control systems for the three sub-detectors, and the PIT control system for the pixel trigger system. In addition to the remote operation of the hardware, the DCS allows also the monitoring and archiving of the working parameters, the implementation of interlocks and alarms to protect the equipments agains potentially dangerous conditions.…”

Section: Pos(vertex2013)004mentioning

confidence: 99%

Performance of ALICE silicon tracker detector

Luparello¹

2014

Proceedings of 22nd International Workshop on Vertex Detectors — PoS(Vertex2013)

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ALICE (A Large Ion Collider Experiment) is the LHC experiment devoted to the study of the strong interacting matter created in heavy-ion collisions. The ALICE Inner Tracking System (ITS) consists of six layers of silicon detectors exploiting three different technologies: pixel, drift and strip (from inside to outside). It covers the central pseudorapidity range, |η| < 0.9, and its distance from the beam line ranges from r = 3.9 cm for the innermost pixel layer up to r = 43 cm for the outermost strip layer. The main tasks of the ITS are to reconstruct the primary and secondary vertices, to track and identify charged particles with a low-p T cutoff and to improve the momentum resolution at high p T . During the operations, the ITS has demonstrated its tracking and vertexing capabilities, which are in excellent agreement with the design values. In these proceedings, after a brief description of the features of the system, the performance during the first three years of data taking at LHC will be presented.

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Section: Pos(vertex2013)004mentioning

confidence: 99%

Performance of ALICE silicon tracker detector

Luparello¹

2014

Proceedings of 22nd International Workshop on Vertex Detectors — PoS(Vertex2013)

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“…Control and monitoring of the detectors of the ALICE experiment is handled by the ALICE Detector Control System. Although the architectures of the control systems of the individual detectors use the same concept, their structures are slightly different due to the different detector electronics of the individual detectors [37]. As an example of the architecture of the ALICE-DCS, the architecture of the Inner Tracking System (ITS) Detector Control System is presented, which can be seen in Figure 6.…”

Section: The Infrastructure Of the Detector Control System Of The Ali...mentioning

confidence: 99%

“…The SCADA/HMI system WinCC OA ensures supervisory control of detectors, which is implemented using Finite-State Machines (FSM) [42,43], and at the same time provides the possibility of controlling detectors through operator panels [44]. The highest level of the ALFRED System is a layer of configuration and archiving databases, which provide parameters for the configuration of detector electronics and archive physical and technical data obtained during the course of the experiment [37].…”

Section: The Infrastructure Of the Detector Control System Of The Ali...mentioning

confidence: 99%

Modeling and Analysis of Distributed Control Systems: Proposal of a Methodology

Tkáčik,

Jadlovský,

Jadlovská

et al. 2023

Processes

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A Distributed Control System is a concept of Network Control Systems whose applications range from industrial control systems to the control of large physical experiments such as the ALICE experiment at CERN. The design phase of the Distributed Control Systems implementation brings several challenges, such as predicting the throughput and response of the system in terms of data-flow. These parameters have a significant impact on the operation of the Distributed Control System, and it is necessary to consider them when determining the distribution of software/hardware resources within the system. This distribution is often determined experimentally, which may be a difficult, iterative process. This paper proposes a methodology for modeling Distributed Control Systems using a combination of Finite-State Automata and Petri nets, where the resulting model can be used to determine the system’s throughput and response before its final implementation. The proposed methodology is demonstrated and verified on two scenarios concerning the respective areas of ALICE detector control system and mobile robotics, using the MATLAB/Simulink implementation of created models. The methodology makes it possible to validate various distributions of resources without the need for changes to the physical system, and therefore to determine the appropriate structure of the Distributed Control System.

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“…Four monitoring systems have been developed. A Detector Control System (DCS) project based on WinCC software [9] monitors the boards' and crates' temperature, voltages and currents using PMbus. A Quality Control (QC) system is used to monitor interaction and trigger rates and CTP data quality.…”

Section: Alice Trigger Boardmentioning

confidence: 99%

ALICE Central Trigger System for LHC Run 3

et al. 2021

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A major upgrade of the ALICE experiment is in progress and will result in high-rate data taking during LHC Run 3 (2022-2024). The LHC interaction rate at Point 2 where the ALICE experiment is located will be increased to 50 kHz in Pb–Pb collisions and 1 MHz in pp collisions. The ALICE experiment will be able to read out data at these interaction rates leading to an increase of the collected luminosity by a factor of up to about 100 with respect to LHC Runs 1 and 2. To satisfy these requirements, a new readout system has been developed for most of the ALICE detectors, allowing the full readout of the data at the required interaction rates without the need for a hardware trigger selection. A novel trigger and timing distribution system will be implemented, based on Passive Optical Network (PON) and GigaBit Transceiver (GBT) technology. To assure backward compatibility a triggered mode based on RD12 Trigger- Timing-Control (TTC) technology, as used in the previous LHC runs, will be maintained and re-implemented under the new Central Trigger System (CTS). A new universal ALICE Trigger Board (ATB) based on the Xilinx Kintex Ultrascale FPGA has been designed to function as a Central Trigger Processor (CTP), Local Trigger Unit (LTU), and monitoring interfaces. In this paper, this new hybrid multilevel system with continuous readout will be described, together with the triggering mechanism and algorithms. An overview of the CTS, the design of the ATB and the different communication protocols will be presented.

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The ALICE Detector Control System

Cited by 6 publications

References 2 publications

Performance of ALICE silicon tracker detector

Performance of ALICE silicon tracker detector

Modeling and Analysis of Distributed Control Systems: Proposal of a Methodology

ALICE Central Trigger System for LHC Run 3

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