engÜnel, GAbolins, MAdragna, PAlexandrov, IAmorim, AArmstrong, SBadescu, EBaines, J T MBarros, NBeck, H PBee, CBlair, RBogaerts, J A CBold, TBosman, MBurckhart-Chromek, DorisCaprini, MCaramarcu, CCiobotaru, MComune, GCorso-Radu, ACranfield, RCrone, GDawson, JDella Pietra, MDi Mattia, ADobson, MDos Anjos, ADotti, ADrake, GEllis, NickErmoline, YErtorer, EFalciano, SFerrari, RFerrer, M LFrancis, DGadomski, SGameiro, SGarcia-Murillo, RGaritaonandia, HGaudio, GGeorge, SGesualdi-Mello, AGorini, BGreen, BHaas, SHaberichter, W NHadavand, HHaeberli, CHaller, JHansen, JHauser, RHillier, S JHughes-Jones, R EHöcker, AJoos, MKazarov, AKieft, GKlous, SKohno, TKolos, SKorcyl, KKordas, KKotov, VKugel, ALandon, MLankford, ALe Vine, M JLeahu, LLeahu, MLehmann-Miotto, GLiu, WMaeno, TMapelli, LMartin, BMasik, JMcLaren, RMeessen, CMeirosu, CMineev, MMisiejuk, AMorettini, PMornacchi, GMänner, RMüller, MNagasaka, YNegri, APadilla, CPasqualucci, EPauly, TPerera, VPetersen, JPope, BPretzl, KPrigent, DRoda, CRyabov, YuSalvatore, DSchiavi, CSchlereth, J LScholtes, ISeixas, MSloper, JSole-Segura, ESoloviev, ISpiwoks, RStamen, RStancu, SStrong, JSushkov, SSzymocha, TTapprogge, STeixeira-Dias, PTorres, RTouchard, FTremblet, LVandelli, WVermeulen, J CWengler, TWerner, PWheeler, SWickens, FWiedenmann, WWiesmann, MYu, MZema, FZobernig, HDe Albuquerqu Portes, MStudies with the ATLAS Trigger and Data Acquisition "Pre-Series'' SetupDetectors and Experimental TechniquesATL-DAQ-CONF-2006-019ATL-COM-DAQ-2006-010The pre-series test bed is used to validate the technology and implementation choices by comparing the final ATLAS readout requirements, to the results of performance, functionality and stability studies. We show that all the components which are not running reconstruction algorithms match the final ATLAS requirements. For the others, we calculate the amount of time per event that could be allocated to run these not-yet-finalized algorithms. We also report on the experience gained during these studies while interfacing with a sub-detector for the first time at the experimental area.2006-03-01http://cds.cern.ch/record/934462DAQ and Triggerhttp://cds.cern.ch/record/934462oai:cds.cern.ch:934462 engKordas, KArmstrong, SBaines, J T MBeck, H PBee, CBogaerts, ABold, TBosman, MComune, GCranfield, RCrone, GDi Mattia, ADos Anjos, AEllis, NickErtorer, EFalciano, SFerrari, RFerrer, M LGadomski, SGameiro, SGaritaonandia, HGeorge, SGesualdi-Mello, AGorini, BGreen, BHaeberli, CHaller, JHauser, RJoos, MKieft, GKlous, SKugel, ALankford, ALiu, WMaeno, TMasik, JMeessen, CMisiejuk, AMorettini, PMüller, MNagasaka, YNegri, APadilla, CPasqualucci, EPauly, TPerera, V J OPetersen, JPortes de Albuquerque, MSchiavi, CSchlereth, J LSegura, ESeixas, MSpiwoks, RStamen, RStrong, JSushkov, STapprogge, STeixeira-Dias, PTorres, RTouchard, FTremblet, LÜnel, GVandelli, WVan Wasen, JVermeulen, JWerner, PWheeler, SWickens, FWiedenmann, WWu, XYasu, YYu, MZobernig, HATLAS High Level Trigger Infrastructure, ROI Collection and Event BuildingDetectors and Experimental TechniquesATL-DAQ-CONF-2007-002ATL-COM-DAQ-2006-009We describe the base-line design and implementation of the Data Flow and High Level Trigger (HLT) part of the ATLAS Trigger and Data Acquisition (TDAQ) system. We then discuss improvements and generalization of the system design to allow the handling of events in parallel data streams and we present the possibility for event duplication, partial Event Building and data stripping. We then present tests on the deployment and integration of the TDAQ infrastructure and algorithms at the TDAQ â€?pre-series” cluster (~10% of full ATLAS TDAQ). Finally, we tackle two HLT performance issues.2006-02-28http://cds.cern.ch/record/934208DAQ and Triggerhttp://cds.cern.ch/record/934208oai:cds.cern.ch:934208 engVentura, ADos Anjos, AArmstrong, SBaines, J T MBee, C PBellomo, MBiglietti, MBogaerts, J A CBosman, MCarlino, GCaron, BCasado, M PCataldi, GCavalli, DComune, GConde, PConventi, FCrone, GDamazio, DDe Santo, ADíaz-Gómez, MDi Mattia, AEllis, NickEmeliyanov, DEpp, BFalciano, SGaritaonandia, HGeorge, SGhete, VGoncalo, RGorini, EGrancagnolo, SHaller, JKabana, SKhomich, AKilvington, GKirk, NKonstantinidis, N PKootz, ALankford, A JLowe, ALuminari, LMaeno, TMasik, JMeessen, CMello, A GMoore, RMorettini, PNegri, ANikitin, NNisati, AOsuna, CPadilla, CPanikashvili, NParodi, FPasqualucci, EPérez-Réale, VPinfold, J LPinto, PPrimavera, MQian, ZResconi, SRosati, SSánchez, CSantamarina-Rios, CScannicchio, D ASchiavi, CSegura, EDe Seixas, J MSidoti, ASiragusa, GSivoklokov, S YuSobreira, ASoluk, R ASpagnolo, SStefanidis, ESushkov, SSutton, MTapprogge, STarem, SThomas, ETouchard, FUsai, GVenda-Pinto, BVercesi, VWengler, TWerner, PWheeler, S JWickens, F JWiedenmann, WWielers, MZobernig, GMuon Reconstruction and Identification for the Event Filter of the ATLAS experimentDetectors and Experimental TechniquesATL-DAQ-CONF-2007-001ATL-COM-DAQ-2005-035The ATLAS Trigger requires high efficiency and selectivity in order to keep the full physics potential of the experiment and to reject uninteresting processes from the 40 MHz event production rate of the LHC. These goals are achieved with a trigger composed of three sequential levels of increasing accuracy that have to reduce the output event rate down to ~100 Hz. This work focuses on muon reconstruction and identification for the third level (Event Filter), for which specific algorithms from the off-line environment have been adapted to work in the trigger framework. Two different strategies for accessing data (wrapped and seeded modes) are described and their reconstruction potential is then shown in terms of efficiencies, resolutions and fake muon rejection power.2005-10-19http://cds.cern.ch/record/897207DAQ and Triggerhttp://cds.cern.ch/record/897207oai:cds.cern.ch:897207Contribution to the proceedings : 9th ICATAPP Conference on High Energy Physics engBurckhart-Chromek, DorisAbolins, MAdragna, PAlbuquerque-Portes, MAlexandrov, LAmorim, AArmstrong, SBadescu, EBaines, J T MBarros, NBeck, H PBee, CBlair, RBogaerts, J A CBold, TBosman, MCaprini, MCaramarcu, CCiobotaru, MComune, GCorso-Radu, ACranfield, RCrone, GDawson, JDella Pietra, MDi Mattia, ADobinson, Robert WDobson, MDos Anjos, ADotti, ADrake, GEllis, NickErmoline, YErtorer, EFalciano, SFerrari, RFerrer, M LFrancis, DGadomski, SGameiro, SGarcia-Murillo, RGaritaonandia, HGaudio, GGeorge, SGesualdi-Mello, AGorini, BGreen, BHaas, SHaberichter, W NHadavand, HHaeberli, CHaller, JHansen, JHauser, RHillier, S JHughes-Jones, R EHöcker, AJoos, MKazarov, AKieft, GKlous, SKohno, TKolos, SKorcyl, KKordas, KKotov, VKugel, ALandon, MLankford, ALe Vine, M JLeahu, LLeahu, MLehmann-Miotto, GLiu, WMaeno, TMapelli, LMartin, BMasik, JMcLaren, RMeessen, CMeirosu, CMineev, MMisiejuk, AMorettini, PMornacchi, GMänner, RMüller, MNagasaka, YNegri, APadilla, CPasqualucci, EPauly, TPerera, VPetersen, JPope, BPretzl, KPrigent, DRoda, CRyabov, YuSalvatore, DSchiavi, CSchlereth, J LScholtes, ISeixas, MSloper, JSole-Segura, ESoloviev, ISpiwoks, RStamen, RStancu, SStrong, SSushkov, SSzymocha, TTapprogge, STeixeira-Dias, PTorres, RTouchard, FTremblet, LVan Wasen, JVandelli, WVaz-Gil-Lopes, LVermeulen, J CWengler, TWerner, PWheeler, SWickens, FWiedenmann, WWiesmann, MWu, XYasu, YYu, MZema, FZobernig, Hvon der Schmitt, HÜnel, GTesting on a Large Scale: running the ATLAS Data Acquisition and High Level Trigger Software on 700 PC NodesDetectors and Experimental TechniquesATL-DAQ-CONF-2006-002ATL-COM-DAQ-2006-008CERN-ATL-DAQ-CONF-2006-002The ATLAS Data Acquisition (DAQ) and High Level Trigger (HLT) software system will be comprised initially of 2000 PC nodes which take part in the control, event readout, second level trigger and event filter operations. This high number of PCs will only be purchased before data taking in 2007. The large CERN IT LXBATCH facility provided the opportunity to run in July 2005 online functionality tests over a period of 5 weeks on a stepwise increasing farm size from 100 up to 700 PC dual nodes. The interplay between the control and monitoring software with the event readout, event building and the trigger software has been exercised the first time as an integrated system on this large scale. New was also to run algorithms in the online environment for the trigger selection and in the event filter processing tasks on a larger scale. A mechanism has been developed to package the offline software together with the DAQ/HLT software and to distribute it via peer-to-peer software efficiently to this large pc cluster. The findings obtained during the tests lead to many immediate improvements in the software. Trend analysis allowed identifying critical areas. Running an online system on a cluster of 700 nodes successfully was found to be especially sensitive to the reliability of the farm as well as the DAQ/HLT system itself and the future development will concentrate on fault tolerance and stability.2006-03-09http://cds.cern.ch/record/941077DAQ and Triggerhttp://cds.cern.ch/record/941077oai:cds.cern.ch:941077 doi:10.1109/RTC.2005.1547532engSantamarina-Rios, CConde-Muíño, PDos Anjos, AArmstrong, SBaines, J T MBee, C PBiglietti, MBogaerts, J A CBosman, MCaron, BCasado, M PCataldi, GCavalli, DComune, GCrone, GDamazio, DDe Santo, ADíaz-Gómez, MDi Mattia, AEllis, NickEmeliyanov, DEpp, BFalciano, SGaritaonandia, HGeorge, SGesualdi-Mello, AGhete, VGoncalo, RHaller, JKabana, SKhomich, AKilvington, GKirkc, JKonstantinidis, N PKootz, ALankford, AJLowe, ALuminari, LMaeno, TMasik, JMeessen, CMoore, RMorettini, PNegri, ANikitin, NNisati, AOsuna, CPadilla, CPanikashvili, NParodi, FPasqualucci, EPérez-Réale, VPinfold, James LPinto, PQian, ZResconi, SRosati, SSánchez, CScannicchio, D ASchiavi, CSegura, EDe Seixas, J MSivoklokov, S YuSobreira, ASoluk, R AStefanidis, ESushkov, SSutton, MTapprogge, STarem, SThomas, ETouchard, FUsai, GVenda-Pinto, BVentura, AVercesi, VWengler, TWerner, PWheeler, S JWickens, F JWiedenmann, WWielers, MZobernig, GImplementation and Performance of the Seeded Reconstruction for the ATLAS Event Filter Selection SoftwareDetectors and Experimental TechniquesATL-DAQ-CONF-2005-032ATL-COM-DAQ-2005-026CERN-ATL-DAQ-CONF-2005-032ATLAS is one of the four LHC experiments that will start data taking in 2007, designed to cover a wide range of physics topics. The ATLAS trigger system has to cope with a rate of 40 MHz and 23 interactions per bunch crossing. It is divided in three different levels. The first one (hardware based) provides a signature that is confirmed by the the following trigger levels (software based) by running a sequence of algorithms and validating the signal step by step, looking only to the region of the space indicated by the first trigger level (seeding). In this paper, the performance of one of these sequences that run at the Event Filter level (third level) and is composed of clustering at the calorimeter, track reconstruction and matching.2005http://cds.cern.ch/record/84721310.1109/RTC.2005.1547532DAQ and Triggerhttp://cds.cern.ch/record/847213oai:cds.cern.ch:847213 engAnjos, AArmstrong, SBaines, J T MBeck, H PBee, C PBiglietti, MBogaerts, J A CBosman, MBurckhart, DorisCaprini, MCaron, BCasado, M PCataldi, GCavalli, DCiobotaru, MComune, GConde, PCorso-Radu, ACrone, GDamazio, DDe Santo, ADíaz-Gómez, MDi Mattia, ADobson, MEllis, NickEmeliyanov, DEpp, BFalciano, SFerrari, RFrancis, DGadomski, SGameiro, SGaritaonandia, HGeorge, SGhete, VGoncalo, RGorini, BGruwé, MHaeberli, CHaller, JJoos, MKabana, SKazarov, AKhomich, AKilvington, GKirk, JKolos, SKonstantinidis, N PKootz, ALankford, ALehmann, GLowe, ALuminari, LMaeno, TMasik, JMeirosu, CMeessen, CMello, A GMoore, RMorettini, PNegri, ANikitin, NNisati, AOsuna, CPadilla, CPanikashvili, NParodi, FPasqualucci, EPérez-Réale, VPetersen, JPinfold, J LPinto, PQian, ZResconi, SRosati, SSánchez, CSantamarina-Rios, CScannicchio, D ASchiavi, CSegura, ESeixas, J MSivoklokov, S YuSloper, JSobreira, ASoloviev, ISoluk, R AStancu, SStefanidis, ESushkov, SSutton, MTapprogge, STarem, SThomas, ETouchard, FTremblet, LÜnel, GUsai, GVandelli, Wainer RVenda-Pinto, BVentura, AVercesi, VWengler, TWerner, PWheeler, S JWickens, F JWiedenmann, WWielers, MWiesmann, MYasu, YZobernig, GDeployment of the ATLAS High-Level TriggersDetectors and Experimental TechniquesATL-DAQ-CONF-2005-033ATL-COM-DAQ-2005-023CERN-ATL-DAQ-CONF-2005-033The ATLAS combined test beam in the second half of 2004 saw the first deployment of the ATLAS High-Level Triggers (HLT). The next steps are deployment on the pre-series farms in the experimental area during 2005, commissioning and cosmics tests in 2006 and collisions in 2007. This paper reviews the experience gained in the test beam, describes the current status and discusses the further enhancements to be made. We address issues related to the dataflow, selection algorithms, testing, software distribution, installation and improvements.2005http://cds.cern.ch/record/845661DAQ and Triggerhttp://cds.cern.ch/record/845661oai:cds.cern.ch:845661 doi:10.1109/RTC.2005.1547456engGadomski, SAbolins, MAlexandrov, IAmorim, APadilla-Aranda, ABadescu, EBarros, NBeck, H PBlair, RBurckhart-Chromek, DorisCaprini, MCiobotaru, MConde-Muíño, PCorso-Radu, ADi Girolamo, BDíaz-Gómez, MDobinson, Robert WDobson, MFerrari, RFerrer, M LFrancis, DGameiro, SGorini, BGruwé, MHaas, SHaeberli, CHauser, RHughes-Jones, R EJoos, MKazarov, AKlose, DKolos, SKotov, VLehmann, GMapelli, LMartin, BMcLaren, RMeirosu, CMineev, MNegri, APasqualucci, EPérez-Réale, VPetersen, JPrigent, DRyabov, YuSánchez, CSantamarina-Rios, CSchlereth, J LSloper, J ESoloviev, IStancu, STremblet, LÜnel, GVandelli, Wainer RWerner, PWheeler, SWiesmann, MYasu, YDeployment and use of the ATLAS DAQ in the Combined Test BeamDetectors and Experimental TechniquesATL-DAQ-CONF-2005-019ATL-COM-DAQ-2005-014The ATLAS collaboration at CERN operated a Combined Test Beam (CTB) from May until November 2004. The prototype of ATLAS Data Acquisition system (DAQ) was used to integrate other subsystems into a common CTB setup. Data were collected synchronously from all the ATLAS detectors, which represented nine different detector technologies. Electronics and software of the First Level Trigger were used to trigger the setup. Event selection algorithms of the High Level Trigger were integrated with the system and were tested with real detector data. A possibility to operate a remote Event Filter farm synchronized with ATLAS TDAQ was also tested. Event data, as well as detectors conditions data were made available for offline analysis.2005http://cds.cern.ch/record/84083810.1109/RTC.2005.1547456DAQ and Triggerhttp://cds.cern.ch/record/840838oai:cds.cern.ch:840838 engDos Anjos, AArmstrong, SBaines, J T MBee, C PBiglietti, MBogaerts, J A CBosman, MCarlino, GCaron, BCasado, M PCataldi, GCavalli, DComune, GConde, PConventi, FCrone, GDamazio, DDe Santo, ADíaz-Gómez, MDi Mattia, AEllis, NickEmeliyanov, DEpp, BFalciano, SGaritaonandia, HGeorge, SGhete, VGoncalo, RGorini, EHaller, JKabana, SKhomich, AKilvington, GKirk, JKonstantinidis, N PKootz, ALankford, A JLowe, ALuminari, LMaeno, TMasik, JMeessen, CMello, A GMoore, RMorettini, PNegri, ANikitin, NNisati, AOsuna, CPadilla, CPanikashvili, NParodi, FPasqualucci, EPérez-Réale, VPinfold, J LPinto, PPrimavera, MQian, ZResconi, SRosati, SSánchez, CSantamarina-Rios, CScannicchio, D ASchiavi, CSegura, EDe Seixas, J MSivoklokov, S YuSobreira, ASoluk, R ASpagnolo, SStefanidis, ESushkov, SSutton, MTapprogge, STarem, SThomas, ETouchard, FUsai, GVenda-Pinto, BVentura, AVercesi, VWengler, TWerner, PWheeler, S JWickens, F JWiedenmann, WWielers, MZobernig, GMuon Identification with the Event Filter of the ATLAS Experiment at CERN LHC'sDetectors and Experimental TechniquesATL-DAQ-CONF-2005-018ATL-COM-DAQ-2005-013The Large Hadron Collider at CERN offers unprecedented challenges to the design and construction of detectors and trigger/data acquisition systems. For ATLAS, a three level trigger system has been developed to extract interesting physics signatures with a 10^6 rate reduction. To accomplish this, components of physics analysis traditionally deferred to offline physics analysis must be embedded within the online trigger system. For the Muon trigger, the specific off-line algorithms MOORE (Muon Object Oriented REconstruction) and MuId (Muon Identification) have been adopted so far for the on-line use, imposing an operation in a Bayesian-like environment where only specific hypotheses must be validated. After a short review of the ATLAS trigger, the paper shows the general strategy of the Muon Identification and Selection accessing the full event data, or being seeded from results derived at a previous stage of the trigger chain.2005http://cds.cern.ch/record/837654DAQ and Triggerhttp://cds.cern.ch/record/837654oai:cds.cern.ch:837654