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9 results on '"triggering"'

2. Detection and location of rock falls using seismic and infrasound sensors

Author

Zimmer, VL and Sitar, N

Subjects
Rockfall, Seismic, Acoustic, Yosemite, Triggering, Infrasound, Geological & Geomatics Engineering, Civil Engineering, Geomatic Engineering, Other Engineering
Abstract

We deployed seismic and infrasound sensors at a historically active cliff in Yosemite Valley for the purpose of detecting and locating rock falls at local (

Published
2015

3. Detection and location of rock falls using seismic and infrasound sensors

Author

Zimmer, Valerie L and Sitar, Nicholas

Subjects
Rockfall, Seismic, Acoustic, Yosemite, Triggering, Infrasound, Civil Engineering, Geomatic Engineering, Other Engineering, Geological & Geomatics Engineering
Abstract

We deployed seismic and infrasound sensors at a historically active cliff in Yosemite Valley for the purpose of detecting and locating rock falls at local (

Published
2015

5. Deployment of the ATLAS High-Level Trigger

Author

Dos Anjos, A, Armstrong, S, Baines, JTM, Beck, HP, Bee, CP, Biglietti, M, Bogaerts, JA, Bosman, M, Burckhart, D, Caprini, M, Caron, B, Casado, P, Cataldi, G, Cavalli, D, Ciobotaru, M, Comune, G, Conde, P, Corso-Radu, A, Crone, G, Damazio, D, De Santo, A, Diaz-Gomez, M, Di Mattia, A, Dobson, M, Ellis, N, Emeliyanov, D, Epp, B, Falciano, S, Ferrari, R, Francis, D, Gadomski, S, Gameiro, S, Garitaonandia, H, George, S, Ghete, V, Goncalo, R, Gorini, B, Gruwe, M, Haeberli, C, Haller, J, Joos, M, Kabana, S, Kazarov, A, Khomich, A, Kilvington, G, Kirk, J, Kolos, S, Konstantinidis, N, Kootz, A, Lankford, A, Lehmann, G, Lowe, A, Luminari, L, Maeno, T, Masik, J, Meirosu, C, Meessen, C, Mello, AG, Moore, R, Morettini, P, Negri, A, Nikitin, N, Nisati, A, Osuna, C, Padilla, C, Panikashvili, N, Parodi, F, Pasqualucci, E, Reale, V Perez, Petersen, J, Pinfold, JL, Pinto, P, Qian, Z, Resconi, S, Rosati, S, Sánchez, C, Santamarina, C, Scannicchio, DA, Schiavi, C, Segura, E, Seixas, JM, Sivoklokov, S, Sloper, J, Sobreira, A, Soloviev, I, Stancu, S, Soluk, R, Stefanidis, E, Sushkov, S, Sutton, M, Tapprogge, S, Tarem, S, Thomas, E, Touchard, F, Tremblet, L, Unel, G, Usai, G, Vandelli, W, Pinto, B Venda, and Ventura, A

Subjects
Bioengineering, cluster, high-energy physics, high-level triggers, software integration, testbeam, triggering, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Other Physical Sciences, Biomedical Engineering, Nuclear & Particles Physics
Abstract

The ATLAS combined test beam in the second half of 2004 saw the first deployment of the ATLAS High-Level Trigger (HLT). The next steps are deployment on the p re-series farms in the experimental area during 2005, commissioning and cosmics tests with the full detector 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, integration of selection algorithms, testing, software distribution, installation and improvements. © 2006 IEEE.

Published
2006

6. ATLAS DataFlow: The Read-Out Subsystem, Results from Trigger and Data-Acquisition System Testbed Studies and from Modeling

Author

Vermeulen, J, Abolins, M, Alexandrov, I, Amorim, A, Dos Anjos, A, Badescu, E, Barros, N, Beck, HP, Blair, R, Burckhart-Chromek, D, Caprini, M, Ciobotaru, M, Corso-Radu, A, Cranfield, R, Crone, G, Dawson, J, Dobinson, R, Dobson, M, Drake, G, Ermoline, Y, Ferrari, R, Ferrer, ML, Francis, D, Gadomski, S, Gameiro, S, Gorini, B, Green, B, Gruwé, M, Haas, S, Haberichter, W, Haeberli, C, Hasegawa, Y, Hauser, R, Hinkelbein, C, Hughes-Jones, R, Joos, M, Kazarov, A, Kieft, G, Klose, D, Kolos, S, Korcyl, K, Kordas, K, Kotov, V, Kugel, A, Lankford, A, Miotto, G Lehmann, Levine, MJ, Mapelli, L, Martin, B, Mclaren, R, Meirosu, C, Mineev, M, Misiejuk, A, Mornacchi, G, Müller, M, Murillo, R, Nagasaka, Y, Petersen, J, Pope, B, Prigent, D, Ryabov, Y, Schlereth, J, Sloper, JE, Soloviev, I, Spiwoks, R, Stancu, S, Strong, J, Tremblet, L, Ünel, G, Vandelli, W, Werner, P, Wickens, F, Wiesmann, M, Wu, M, and Yasu, Y

Subjects
ATLAS, data acquisition, LHC, real-time systems, triggering, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Other Physical Sciences, Biomedical Engineering, Nuclear & Particles Physics
Abstract

In the ATLAS experiment at the LHC, the output of read-out hardware specific to each subdetector will be transmitted to buffers, located on custom made PCI cards ("ROBINs"). The data consist of fragments of events accepted by the first-level trigger at a maximum rate of 100 kHz. Groups of four ROBINs will be hosted in about 150 Read-Out Subsystem (ROS) PCs. Event data are forwarded on request via Gigabit Ethernet links and switches to the second-level trigger or to the Event builder. In this paper a discussion of the functionality and real-time properties of the ROS is combined with a presentation of measurement and modelling results for a testbed with a size of about 20% of the final DAQ system. Experimental results on strategies for optimizing the system performance, such as utilization of different network architectures and network transfer protocols, are presented for the testbed, together with extrapolations to the full system. © 2006 IEEE.

Published
2006

7. The Base-Line DataFlow System of the ATLAS Trigger and DAQ

Author

Beck, Hans Peter, Abolins, Maris, Dos Anjos, Andre, Barisonzi, Marcello, Beretta, Matteo Mario, Blair, Robert, Bogaerts, Joannes Andreas, Boterenbrood, Henk, Botterill, David, Dan, Matei Ciobotaru, Cortezon, Enrique Palencia, Cranfield, Robert, Crone, Gordon, Dawson, John, Di, Beniamino Girolamo, Dobinson, Robert W, Ermoline, Yuri, Ferrer, Maria Lorenza, Francis, David, Gadomski, Szymon, Gameiro, Sonia Maria, Golonka, Piotr, Gorini, Benedetto, Green, Barry, Gruwe, Magali, Haas, Stefan, Haeberli, Christian, Hasegawa, Yoji, Hauser, Reiner, Hinkelbein, Christian, Hughes-Jones, Richard, Knezo, Emil, Jansweijer, Peter, Joos, Markus, Kaczmarska, Anna, Kieft, Gerard, Korcyl, Krzysztof, Kugel, Andreas, Lankford, Andrew James, Lehmann, Giovanna, LeVine, Micheal J, Liu, Weiyue, Maeno, Tadashi, Maia, Marcia Losada, Mapelli, Livio, Martin, Brian, McLaren, Robert, Meirosu, Catalin, Misiejuk, Andrzej Stanislaw, Mommsen, Remigius, Mornacchi, Giuseppe, Müller, Matthias, Nagasaka, Yasushi, Nakayoshi, Kazuo, Papadopoulos, Ioannis, Petersen, Jorgen, de Matos Lopes Pinto, Paulo, Prigent, Daniel, Reale, Valeria Perez, Schlereth, James, Shimojima, Makoto, Spiwoks, Ralf, Stancu, Stefan Nicolae, Strong, John, Tremblet, Louis, Vermeulen, Jos, Werner, Per, Wickens, Frederick John, Yasu, Yoshiji, Yu, Maoyuan, Zobernig, Haimo, and Zurek, Marian

Subjects
computer network performance, data acquisition, data buses, field programmable gate arrays, flow control, message passing, network testing, networks, optical fiber communication, particle collisions, radiation detectors, software, triggering, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Other Physical Sciences, Biomedical Engineering, Nuclear & Particles Physics
Abstract

The base-line design and implementation of the ATLAS DAQ DataFlow system is described. The main components of the DataFlow system, their interactions, bandwidths, and rates are discussed and performance measurements on a 10% scale prototype for the final ATLAS TDAQ DataFlow system are presented. This prototype is a combination of custom design components and of multithreaded software applications implemented in C++ and running in a Linux environment on commercially available PCs interconnected by a fully switched gigabit Ethernet network.

Published
2004

8. Seismic response to fluid injection and production in two Salton Trough geothermal fields, southern California

Author

Lajoie, Lia Joyce

Subjects
Geophysics, Geology, Earthquakes, Geothermal, Induced, Salton Sea, Seismicity, Triggering
Abstract

California hosts both the largest geothermal resource capacity and highest seismicity rate in the nation. With plans to increase geothermal output, and proven earthquake triggering in the vicinity of geothermal power plants worldwide, it is important to determine the local and regional effects of geothermal power production. This study examines the link between fluid injection and seismicity at the Salton Sea and Brawley geothermal fields in southern California by attempting to answer three motivating questions: 1) Does fluid injection at the geothermal field change local seismicity in a measurable way? 2) Are aftershocks triggered at the same rate inside and outside of the field? 3) How do the triggered aftershocks interact with regional fault networks, specifically, could these aftershocks trigger a societally significant event on the southern San Andreas or Imperial faults? Injection and production data consist of monthly logs from 1980 to 2012 for wells at both Salton Sea geothermal fields (California Department of Conservation, 2012). Seismic data for the same time span comes from the relocated Hauksson, Yang, and Shearer earthquake catalog for southern California (2012), which is augmented by the Southern California Seismic Network earthquake catalog (2012). We employ an epidemic-type aftershock sequence model to predict background seismicity and aftershock rates in the geothermal fields, and use empirical earthquake relationships to measure aftershock productivity. Background seismicity rate closely tracks net production volume at the Salton Sea geothermal field for early and late stages of field development and we find that earthquakes inside the field trigger aftershocks at a higher rate than ordinary earthquakes. Finally, we calculate small but finite probabilities that the aftershocks of events in the geothermal fields will trigger significant earthquakes on the large, regional faults, of order 10e-5 to 10e-8 per year.

Published
2012

9. The base-line DataFlow system of the ATLAS Trigger and DAQ

Author

Beck, HP, Beck, HP, Abolins, M, Dos Anjos, A, Barisonzi, M, Beretta, MM, Blair, R, Bogaerts, JA, Boterenbrood, H, Botterill, D, Ciobotaru, MD, Cortezon, EP, Cranfield, R, Crone, G, Dawson, J, Di Girolamo, B, Dobinson, RW, Ermoline, Y, Ferrer, ML, Francis, D, Gadomski, S, Gameiro, SM, Golonka, P, Gorini, B, Green, B, Gruwe, M, Haas, S, Haeberli, C, Hasegawa, Y, Hauser, R, Hinkelbein, C, Hughes-Jones, R, Knezo, E, Jansweijer, P, Joos, M, Kaczmarska, A, Kieft, G, Korcyl, K, Kugel, A, Lankford, AJ, Lehmann, G, LeVine, MJ, Liu, W, Maeno, T, Maia, ML, Mapelli, L, Martin, B, McLaren, R, Meirosu, C, Misiejuk, AS, Mommsen, R, Mornacchi, G, Müller, M, Nagasaka, Y, Nakayoshi, K, Papadopoulos, I, Petersen, J, De Matos Lopes Pinto, P, Prigent, D, Reale, VF, Schlereth, J, Shimojima, M, Spiwoks, R, Stancu, SN, Strong, J, Tremblet, L, Vermeulen, J, Werner, P, Wickens, FJ, Yasu, Y, Yu, M, Zobernig, H, Zurek, M, Beck, HP, Beck, HP, Abolins, M, Dos Anjos, A, Barisonzi, M, Beretta, MM, Blair, R, Bogaerts, JA, Boterenbrood, H, Botterill, D, Ciobotaru, MD, Cortezon, EP, Cranfield, R, Crone, G, Dawson, J, Di Girolamo, B, Dobinson, RW, Ermoline, Y, Ferrer, ML, Francis, D, Gadomski, S, Gameiro, SM, Golonka, P, Gorini, B, Green, B, Gruwe, M, Haas, S, Haeberli, C, Hasegawa, Y, Hauser, R, Hinkelbein, C, Hughes-Jones, R, Knezo, E, Jansweijer, P, Joos, M, Kaczmarska, A, Kieft, G, Korcyl, K, Kugel, A, Lankford, AJ, Lehmann, G, LeVine, MJ, Liu, W, Maeno, T, Maia, ML, Mapelli, L, Martin, B, McLaren, R, Meirosu, C, Misiejuk, AS, Mommsen, R, Mornacchi, G, Müller, M, Nagasaka, Y, Nakayoshi, K, Papadopoulos, I, Petersen, J, De Matos Lopes Pinto, P, Prigent, D, Reale, VF, Schlereth, J, Shimojima, M, Spiwoks, R, Stancu, SN, Strong, J, Tremblet, L, Vermeulen, J, Werner, P, Wickens, FJ, Yasu, Y, Yu, M, Zobernig, H, and Zurek, M

Abstract

The base-line design and implementation of the ATLAS DAQ DataFlow system is described. The main components of the DataFlow system, their interactions, bandwidths, and rates are discussed and performance measurements on a 10% scale prototype for the final ATLAS TDAQ DataFlow system are presented. This prototype is a combination of custom design components and of multithreaded software applications implemented in C++ and running in a Linux environment on commercially available PCs interconnected by a fully switched gigabit Ethernet network.

Published
2004

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