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5 results on '"Krasny, W."'

1. The second level trigger of the ATLAS experiment at CERN's LHC

Author

dos Anjos, A., Abolins, M., Armstrong, S., Baines, J.T., Barisonzi, M., Beck, H.P., Bee, C.P., Beretta, M., Biglietti, M., Blair, R., Bogaerts, A., Boisvert, V., Bosman, M., Boterenbrood, H., Botterill, D., Brandt, S., Caron, B., Casado, P., Cataldi, G., Cavalli, D., Cervetto, M., Ciobotaru, M., Comune, G., Corso-Radu, A., Cortezon, E. Palencia, Cranfield, R., Crone, G., Dawson, J., Di Girolamo, B., Di Mattia, A., Gomez, M. Diaz, Dobinson, R., Drohan, J., Ellis, N., Elsing, M., Epp, B., Ermoline, Y., Etienne, F., Falciano, S., Farilla, A., Ferrer, M.L., Francis, D., Gadomski, S., Gameiro, S., George, S., Ghete, V., Golonka, P., Gonzalez, S., Gorini, B., Green, B., Grothe, M., Gruwe, M., Haas, S., Haeberli, C., Hasegawa, Y., Hauser, R., Hinkelbein, C., Hughes-Jones, R., Jansweijer, P., Joos, M., Kaczmarska, A., Karr, K., Khomich, A., Kieft, G., Knezo, E., Konstantinidis, N., Korcyl, K., Krasny, W., Kugel, A., Lankford, A., Lehmann, G., LeVine, M., Li, W., Liu, W., Lowe, A., Luminari, L., Maeno, T., Maia, M. Losada, Mapelli, L., Martin, B., McLaren, R., Meessen, C., Meirosu, C., Mello, A.G., Merino, G., Misiejuk, A., Mommsen, R., Morettini, P., Mornacchi, G., Moyse, E., Muller, M., Nagasaka, Y., Nairz, A., Nakayoshi, K., Negri, A., Nikitin, N., Nisati, A., Padilla, C., Papadopoulos, I., Parodi, F., Perez-Reale, V., Petersen, J., Pinfold, J.L., Pinto, P., Polesello, G., Pope, B., Prigent, D., Qian, Z., Resconi, S., Rosati, S., Scannicchio, D.A., Schiavi, C., Schlereth, J., Schoerner-Sadenius, T., Segura, E., Seixas, J.M., Shears, T., Shimojima, M., Sivoklokov, S., Smizanska, M., Soluk, R., Spiwoks, R., Stancu, S., Stanescu, C., Strong, J., Tapprogge, S., Tremblet, L., Touchard, F., Vercesi, V., Vermeulen, V., Watson, A., Wengler, T., Werner, P., Wheeler, S., Wickens, F.J., Wiedenmann, W., Wielers, M., Yasu, Y., Yu, M., Zobernig, H., and Zurek, M.

Subjects
Nuclear physics -- Research, Business, Electronics, Electronics and electrical industries
Abstract

The ATLAS trigger reduces the rate of interesting events to be recorded for off-line analysis in three successive levels from 40 MHz to ~ 100 kHz, ~ 2 kHz and ~ 200 Hz. The high level triggers and data acquisition system are designed to profit from commodity computing and networking components to achieve the required performance. In this paper, we discuss data flow aspects of the design of the second level trigger (LVL2) and present results of performance measurements. Index Terms--ATLAS, cluster, data acquisition, high-energy physics, network, object oriented, performance, testbed, trigger.

Published
2004

2. Studies for a common selection software environment in ATLAS: from the Level-2 trigger to the offline reconstruction

Author

Armstrong, S., Baines, J.T., Bee, C.P., Biglietti, M., Bogaerts, A., Boisvert, V., Bosman, M., Brandt, S., Caron, B., Casado, P., Cataldi, G., Cavalli, D., Cervetto, M., Comune, G., Corso-Radu, A., Di Mattia, A., Gomez, M. Diaz, dos Anjos, A., Drohan, J., Ellis, N., Elsing, M., Epp, B., Etienne, F., Falciano, S., Farilla, A., George, S., Ghete, V., Gonzalez, S., Grothe, M., Kaczmarska, A., Karr, K., Khomich, A., Konstantinidis, N., Krasny, W., Li, W., Lowe, A., Luminari, L., Meessen, C., Mello, A.G., Merino, G., Morettini, P., Moyse, E., Nairz, A., Negri, A., Nikitin, N., Nisati, A., Padilla, C., Parodi, F., Perez-Reale, V., Pinfold, J.L., Pinto, P., Polesello, G., Qian, Z., Resconi, S., Rosati, S., Scannicchio, D.A., Schiavi, C., Schoerner-Sadenius, T., Segura, E., de Seixas, J.M., Shears, T., Sivoklokov, S., Smizanska, M., Soluk, R., Stanescu, C., Tapprogge, S., Touchard, F., Vercesi, V., Watson, A., Wengler, T., Werner, P., Wheeler, S., Wickens, F.J., Wiedenmann, W., Wielers, M., and Zobernig, H.

Subjects
Nuclear physics -- Research, Software, Software quality, Business, Electronics, Electronics and electrical industries
Abstract

The ATLAS High Level Trigger's (HLT) primary function of event selection will be accomplished with a Level-2 trigger farm and an event filter (EF) farm, both running software components developed in the ATLAS offline reconstruction framework. While this approach provides a unified software framework for event selection, it poses strict requirements on offline components critical for the Level-2 trigger. A Level-2 decision in ATLAS must typically be accomplished within 10 ms and with multiple event processing in concurrent threads. To address these constraints, prototypes have been developed that incorporate elements of the ATLAS data flow, high level trigger, and offline framework software. To realize a homogeneous software environment for offline components in the HLT, the Level-2 Steering Controller was developed. With electron/gamma-and muon-selection slices it has been shown that the required performance can be reached, if the offline components used are carefully designed and optimized for the application in the HLT. Index Terms--Programming environments, software reusability, triggering.

Published
2004

3. Algorithms for the ATLAS high-level trigger

Author

Armstrong, S., Baines, J.T., Bee, C.P., Biglietti, M., Bogaerts, A., Boisvert, V., Bosman, M., Brandt, S., Caron, B., Casado, P., Cataldi, G., Cavalli, D., Cervetto, M., Comune, G., Corso-Radu, A., Di Mattia, A., Gomez, M. Diaz, dos Anjos, A., Drohan, J., Ellis, N., Elsing, M., Epp, B., Etienne, F., Falciano, S., Farilla, A., George, S., Ghete, V., Gonzalez, S., Grothe, M., Kaczmarska, A., Karr, K., Khomich, A., Konstantinidis, N., Krasny, W., Li, W., Lowe, A., Luminari, L., Meessen, C., Mello, A.G., Merino, G., Morettini, P., Moyse, E., Nairz, A., Negri, A., Nikitin, N., Nisati, A., Padilla, C., Parodi, F., Perez-Reale, V., Pinfold, J.L., Pinto, P., Polesello, G., Qian, Z., Resconi, S., Rosati, S., Scannicchio, D.A., Schiavi, C., Schoerner-Sadenius, T., Segura, E., Seixas, J.M., Shears, T., Sivoklokov, S., Smizanska, M., Soluk, R., Stanescu, C., Tapprogge, S., Touchard, F., Vercesi, V., Watson, A., Wengler, T., Werner, P., Wheeler, S., Wickens, F.J., Wiedenmann, W., Wielers, M., and Zobernig, H.

Subjects
Algorithms -- Research, Algorithm, Business, Electronics, Electronics and electrical industries
Abstract

Following rigorous software design and analysis methods, an object-based architecture has been developed to derive the second- and third-level trigger decisions for the future ATLAS detector at the LHC. The functional components within this system responsible for generating elements of the trigger decisions are algorithms running within the software architecture. Relevant aspects of the architecture are reviewed along with concrete examples of specific algorithms and their performance in 'vertical' slices of various physics selection strategies. Index Terms--Algorithms, online reconstruction, trigger.

Published
2004

4. An overview of the ATLAS high-level trigger dataflow and supervision

Author

Wheeler, S, Armstrong, S, Baines, J T M, Bee, C P, Biglietti, M, Bogaerts, A, Boisvert, V, Bosman, M, Brandt, S, Caron, B, Casado, M P, Cataldi, G, Cavalli, D, Cervetto, M, Comune, G, Corso-Radu, A, Di Mattia, A, Díaz-Gómez, M, Dos Anjos, A, Drohan, J, Ellis, Nick, Elsing, M, Epp, B, Etienne, F, Falciano, S, Farilla, A, George, S, Ghete, V M, González, S, Grothe, M, Kaczmarska, A, Karr, K M, Khomich, A, Konstantinidis, N P, Krasny, W, Li, W, Lowe, A, Luminari, L, Meessen, C, Mello, A G, Merino, G, Morettini, P, Moyse, E, Nairz, A, Negri, A, Nikitin, N V, Nisati, A, Padilla, C, Parodi, F, Pérez-Réale, V, Pinfold, J L, Pinto, P, Polesello, G, Qian, Z, Resconi, S, Rosati, S, Scannicchio, D A, Schiavi, C, Schörner-Sadenius, T, Segura, E, De Seixas, J M, Shears, T G, Sivoklokov, S Yu, Smizanska, M, Soluk, R A, Stanescu, C, Tapprogge, Stefan, Touchard, F, Vercesi, V, Watson, A, Wengler, T, Werner, P, Wickens, F J, Wiedenmann, W, Wielers, M, Zobernig, G, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), and ATLAS

Subjects
Nuclear and High Energy Physics, Computer science, Process (engineering), Dataflow, 01 natural sciences, Data acquisition, Software, 0103 physical sciences, Electronic engineering, event selection, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Electrical and Electronic Engineering, Detectors and Experimental Techniques, 010306 general physics, Selection (genetic algorithm), 010308 nuclear & particles physics, business.industry, Event (computing), trigger, ATLAS, Nuclear Energy and Engineering, Computer architecture, Filter (video), Key (cryptography), high level trigger, business
Abstract

The ATLAS High Level Trigger (HLT) system provides software-based event selection after the initial LVL1 hardware trigger. It is composed of two stages, the LVL2 trigger and the Event Filter (EF). The LVL2 trigger performs event selection with optimized algorithms using selected data guided by Region of Interest pointers provided by the LVL1 trigger. Those events selected by LVL2, are built into complete events, which are passed to the EF for a further stage of event selection and classification using off-line algorithms. Events surviving the EF selection are passed for off-line storage. The two stages of HLT are implemented on processor farms. The concept of distributing the selection process between LVL2 and EF is a key element in the architecture, which allows it to be flexible to changes (luminosity, detector knowledge, background conditions etc.) Although there are some differences in the requirements between these sub-systems there are many commonalities. An overview of the dataflow (event selection) and supervision (control, configuration, monitoring) activities in the HLT is given, highlighting where commonalities between the two sub-systems can be exploited and indicating where requirements dictate that implementations differ. An HLT prototype system has been built at CERN. Functional testing is being carried out in order to validate the HLT architecture.

Published
2004

5. Architecture of the ATLAS online physics-selection software at the LHC

Author

Casado, M P, Armstrong, S, Baines, J T M, Bee, C P, Biglietti, M, Bogaerts, A, Boisvert, V, Bosman, M, Brandt, S, Caron, B, Cataldi, G, Cavalli, D, Cervetto, M, Comune, G, Corso-Radu, A, Di Mattia, A, Díaz-Gómez, M, Dos Anjos, A, Drohan, J, Ellis, Nick, Elsing, M, Epp, B, Etienne, F, Falciano, S, Farilla, A, George, S, Ghete, V M, González, S, Grothe, M, Kaczmarska, A, Karr, K M, Khomich, A, Konstantinidis, N P, Krasny, W, Li, W, Lowe, A, Luminari, L, Ma, H, Meessen, C, Mello, AG, Merino, G, Morettini, P, Moyse, E, Nairz, A, Negri, A, Nikitin, N V, Nisati, A, Padilla, C, Parodi, F, Pérez-Réale, V, Pinfold, J L, Pinto, P, Polesello, G, Qian, Z, Rajagopalan, S, Resconi, S, Rosati, S, Scannicchio, D A, Schiavi, C, Schörner-Sadenius, T, Segura, E, De Seixas, J M, Shears, T G, Sivoklokov, S Yu, Smizanska, M, Soluk, R A, Stanescu, C, Tapprogge, Stefan, Touchard, F, Vercesi, V, Watson, A, Wengler, T, Werner, P, Wheeler, S, Wickens, F J, Wiedenmann, W, Wielers, M, and Zobernig, G

Subjects
Large Hadron Collider, Computer science, Atlas (topology), business.industry, Physics::Instrumentation and Detectors, Filter (signal processing), computer.software_genre, Software framework, High-level design, Software, Computer architecture, Robustness (computer science), Component-based software engineering, Detectors and Experimental Techniques, Software engineering, business, computer
Abstract

Given the extremely high bunch crossing rate foreseen at the Large Hadron Collider (LHC) and the general-purpose nature of the ATLAS particle physics experiment, after the hardware-based first level trigger, an efficient and flexible trigger software is needed for the online selection of events. This filtering of events is organized in two levels: the second level trigger and the event filter. Both levels are referred together as High Level Trigger (HLT). A coherent approach to event selection across the HLT has been taken. Thus a common core software framework has been designed to maximise the usage of offline interfaces and software components, whilst allowing sufficient flexibility to meet the different interfaces and requirements of the two different levels, notably those of performance and robustness. This paper describes the architecture and high level design of the selection software and shows how the implementation meets the challenges of the ATLAS environment.

Published
2003

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