scholarly journals The LUCID-2 detector

2018 ◽  
Vol 182 ◽  
pp. 02112
Author(s):  
A. Sbrizzi
Keyword(s):  
Monitoring System ◽  
Percent Level ◽  
Cherenkov Detector ◽  
Total Uncertainty ◽  
Quartz Window ◽  
Atlas Experiment ◽  
Luminosity Monitor

The LUCID-2 detector is the main online and ofline luminosity monitor of the ATLAS experiment. It is a compact Cherenkov detector made of photomultipliers with a 10 mm diameter quartz window acting as the Cherenkov medium. In order to provide a reliable luminosity measurement during years of data-taking, the LUCID-2 detector can use 104 different luminosity algorithms for each of the LHC colliding bunches. The detector stability is kept at a percent level thanks to an innovative monitoring system based on radioactive Bi-207 sources deposited on the photomultipliers quartz window. Combining the LUCID-2 measurement with those of other four ATLAS subdetectors, the luminosity has been estimated with a total uncertainty of 2.1% in 2015 and 2.2% in 2016.

scholarly journals The LUCID-2 Luminometer

2018 ◽  
Vol 46 ◽  
pp. 1860076
Author(s):  
V. Hedberg
Keyword(s):  
Calibration System ◽  
Quartz Window ◽  
Atlas Experiment ◽  
Main Challenge ◽  
Luminosity Monitor

The LUCID-2 detector is the main online and offline luminosity monitor of the ATLAS experiment. It provides 104 different luminosity measurements from different algorithms for each of the thousands of LHC bunches. The new detector is using the quartz windows of 10 mm diameter photomultipliers and optical quartz fibers as the Cherenkov medium. A main challenge for a luminometer is to keep the efficiency constant during years of data-taking. LUCID-2 is using an innovative calibration system based on radioactive Bi-207 sources deposited on the quartz window of the readout photomultipliers.

scholarly journals Understanding the evolution of conditions data access through Frontier for the ATLAS Experiment

2019 ◽  
Vol 214 ◽  
pp. 03020
Author(s):  
Michal Svatos ◽  
Alessandro De Salvo ◽  
Alastair Dewhurst ◽  
Emmanouil Vamvakopoulos ◽  
Julio Lozano Bahilo ◽  
...  
Keyword(s):  
Distributed Computing ◽  
Monitoring System ◽  
Data Access ◽  
Computing System ◽  
High Load ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Atlas Experiment ◽  
Transient Errors ◽  
Increasing Demand

The ATLAS Distributed Computing system uses the Frontier system to access the Conditions, Trigger, and Geometry database data stored in the Oracle Offline Database at CERN by means of the HTTP protocol. All ATLAS computing sites use Squid web proxies to cache the data, greatly reducing the load on the Frontier servers and the databases. One feature of the Frontier client is that in the event of failure, it retries with different services. While this allows transient errors and scheduled maintenance to happen transparently, it does open the system up to cascading failures if the load is high enough. Throughout LHC Run 2 there has been an ever increasing demand on the Frontier service. There have been multiple incidents where parts of the service failed due to high load. A significant improvement in the monitoring of the Frontier service wasrequired. The monitoring was needed to identify both problematic tasks, which could then be killed or throttled, and to identify failing site services as the consequence of a cascading failure is much higher. This presentation describes the implementation and features of the monitoring system.

scholarly journals Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\sqrt{s}=13$$ TeV

2021 ◽  
Vol 81 (7) ◽  
Author(s):  
◽  
G. Aad ◽  
B. Abbott ◽  
D. C. Abbott ◽  
A. Abed Abud ◽  
...  
Keyword(s):  
Phase Space ◽  
Percent Level ◽  
Muon Detector ◽  
Excellent Performance ◽  
Data Set ◽  
Atlas Experiment ◽  
Large Samples ◽  
Systematic Uncertainties ◽  
Detector Acceptance ◽  
Momentum Resolution

AbstractThis article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 $$\hbox {fb}^{-1}$$ fb - 1 of pp collision data at $$\sqrt{s}=13$$ s = 13 TeV collected between 2015 and 2018 during Run 2 of the LHC. The increased instantaneous luminosity delivered by the LHC over this period required a reoptimisation of the criteria for the identification of prompt muons. Improved and newly developed algorithms were deployed to preserve high muon identification efficiency with a low misidentification rate and good momentum resolution. The availability of large samples of $$Z\rightarrow \mu \mu $$ Z → μ μ and $$J/\psi \rightarrow \mu \mu $$ J / ψ → μ μ decays, and the minimisation of systematic uncertainties, allows the efficiencies of criteria for muon identification, primary vertex association, and isolation to be measured with an accuracy at the per-mille level in the bulk of the phase space, and up to the percent level in complex kinematic configurations. Excellent performance is achieved over a range of transverse momenta from 3 GeV to several hundred GeV, and across the full muon detector acceptance of $$|\eta |<2.7$$ | η | < 2.7 .

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.

Monitoring des Arzneimittelmissbrauchs 2006 bei Klienten von Suchtberatungsstellen (PHAR-MON)

2007 ◽  
Vol 53 (7) ◽  
pp. 65-77 ◽  
Author(s):  
Susanne Roesner ◽  
Heinrich Küfner
Keyword(s):  
Monitoring System

<span class="fett">Hintergrund und Zielsetzung:</span> PHAR-MON ist ein Monitoring-System, das die auf dem deutschen Markt befindlichen Arzneimittel in ihrer Bedeutung für die Entwicklung von Missbrauch und Abhängigkeit in Suchtberatungsstellen überwacht. </p><p> <span class="fett">Methodik:</span> Klienten ambulanter Beratungsstellen werden im Rahmen der Standarddokumentation zu ihrem Arzneimittelkonsum befragt und Fälle eines abhängigen Konsums, eines schädlichen Gebrauchs oder eines Missbrauchs in PHAR-MON dokumentiert. </p><p> <span class="fett">Ergebnisse:</span> Im Jahr 2006 wurden insgesamt 448 Meldungen von 276 überwiegend alkohol- und drogenabhängigen Klienten in das Monitoring einbezogen. Tranquilizer vom Benzodiazepin-Typ wurden in allen Klientengruppen mit Anteilen zwischen 29,1 % und 35,3 % am häufigsten dokumentiert. An benzodiazepinabhängige Klienten werden zunehmend auch Nicht-Benzodiazepin-Hypnotika verordnet. Bei opioidabhängigen Klienten war im Zeitraum der letzten fünf Jahre ein Anstieg im missbräuchlichen Substitutionsmittelkonsum von 14,9 % auf 33,8 % zu verzeichnen. </p><p> <span class="fett">Schlussfolgerungen:</span> Das Risiko gefährlicher Wechselwirkungen zwischen Arzneimitteln mit Alkohol und Drogen sollte stärker als bisher in die ärztliche Verordnungsentscheidung einbezogen werden.

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