scholarly journals The ATLAS Fast TracKer—Architecture, Status and High-Level Data Quality Monitoring Framework

Universe ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 32
Author(s):  
Alexandros Marantis ◽  
on Behalf of the ATLAS Collaboration
Keyword(s):  
Data Quality ◽  
Quality Monitoring ◽  
Current Status ◽  
Atlas Experiment ◽  
Level Data ◽  
Functional Simulation ◽  
Monitoring Framework ◽  
Average Latency ◽  
High Level ◽  
Fast Tracker

The Fast Tracker (FTK) is a highly parallel processor dedicated to a quick and efficient reconstruction of tracks in the Pixel and Semiconductor Tracker (SCT) detectors of the ATLAS experiment at LHC. It is designed to identify charged particle tracks with transverse momentum above 1 GeV and reconstruct their parameters at an event rate of up to 100 kHz. The average latency of the processing is below 100 μs at the expected collision intensities. This performance is achieved by using custom ASIC chips with associative memory for pattern matching, while modern FPGAs calculate the track parameters. This paper describes the architecture, the current status and a High-Level Data Quality Monitoring framework of the FTK system. This monitoring framework provides an online comparison of the FTK hardware output with the FTK functional simulation, which is run on the pixel and SCT detector data at a low rate, allowing the detection of non-expected outputs of the FTK system.

scholarly journals Data Quality Monitoring Framework for the ATLAS experiment: Performance achieved with colliding beams at the LHC

2011 ◽  
Vol 331 (2) ◽  
pp. 022027 ◽  
Author(s):  
A Corso-Radu ◽  
H Hadavand ◽  
Y Illchenko ◽  
S Kolos ◽  
H Okawa ◽  
...  
Keyword(s):  
Data Quality ◽  
Quality Monitoring ◽  
Atlas Experiment ◽  
Monitoring Framework ◽  
Colliding Beams

scholarly journals Data Quality Monitoring Framework for the ATLAS Experiment at the LHC

2008 ◽  
Vol 55 (1) ◽  
pp. 417-420 ◽  
Author(s):  
A. Corso-Radu ◽  
H. Hadavand ◽  
M. Hauschild ◽  
R. Kehoe ◽  
S. Kolos
Keyword(s):  
Data Quality ◽  
Quality Monitoring ◽  
Atlas Experiment ◽  
Monitoring Framework

scholarly journals Highly Extensible Modular System for Online Monitoring of the Atlas Experiment

2019 ◽  
Vol 214 ◽  
pp. 01052
Author(s):  
Serguei Kolos
Keyword(s):  
Data Quality ◽  
Monitoring System ◽  
User Interfaces ◽  
Information Exchange ◽  
Online Monitoring ◽  
Modular System ◽  
Data Archiving ◽  
Atlas Experiment ◽  
Online Monitoring System ◽  
High Level

The unprecedented size and complexity of the ATLAS experiment required adoption of a new approach for online monitoring system development as many requirements for this system were not known in advance due to the innovative nature of the project. The ATLAS online monitoring facility has been designed as a modular system consisting of a number of independent components, which can interact with one another via a set of well-defined interfaces. The system has been developed using open source software and is based on the two in-house developed highly scalable distributed services for message passing and information exchange, which can deal with information of arbitrary types. The other monitoring components use these services to implement high-level facilities, such as Monitoring Data Archiving and Data Quality Assessment, as well as end user interfaces like the Data Quality and Online Histogramming displays. This proceedings describes the online monitoring system design and evolution showing how the chosen approach allowed the system to be gradually extended by adding more high level tools and frameworks as requirements evolved.

The ALICE-LHC Online Data Quality Monitoring Framework: Present and Future

2008 ◽  
Vol 55 (1) ◽  
pp. 379-385 ◽  
Author(s):  
F. Roukoutakis ◽  
S. Chapeland ◽  
O. Cobanoglu
Keyword(s):  
Data Quality ◽  
Quality Monitoring ◽  
Online Data ◽  
Monitoring Framework

scholarly journals Software Based Control and Monitoring of a Hardware Based Track Reconstruction System for the ATLAS Experiment

2019 ◽  
Vol 214 ◽  
pp. 01021
Author(s):  
Simone Sottocornola
Keyword(s):  
Hadron Collider ◽  
Track Reconstruction ◽  
Trigger System ◽  
Proton Proton ◽  
Good Efficiency ◽  
Atlas Experiment ◽  
Level Trigger ◽  
High Level ◽  
Monitoring Information ◽  
Fast Tracker

During Run 2 of the Large Hadron Collider (LHC) the instantaneous luminosity exceeded the nominal value of 1034 cm−2 s−1 with a 25 ns bunch crossing period and the number of overlapping proton-proton interactions per bunch crossing increased to a maximum of about 80. These conditions pose a challenge to the trigger system of the experiments that has to manage rates while keeping a good efficiency for interesting physics events. This document summarizes the software based control and monitoring of a hardware-based track reconstruction system for the ATLAS experiment, called Fast Tracker (FTK), composed of associative memories and FPGAs operating at the rate of 100 kHz and providing high quality track information within the available latency to the high-level trigger. In particular, we will detail the commissioning of the FTK within the ATLAS online software system presenting the solutions adopted for scaling up the system and ensuring robustness and redundancy. We will also describe the solutions to challenges such as controlling the occupancy of the buffers, managing the heterogeneous and large configuration, and providing monitoring information at sufficient rate.

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