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288 results on '"Klose D"'

1. Comparison of a mouse and a novel human scFv-SNAP-auristatin F drug conjugate with potent activity against EGFR-overexpressing human solid tumor cells

Author

Woitok M, Klose D, Di Fiore S, Richter W, Stein C, Gresch G, Grieger E, Barth S, Fischer R, Kolberg K, and Niesen J

Subjects
Epidermal growth factor receptor (EGFR), antibody–drug conjugate (ADC), SNAP-tag technology, single-chain fragment variable (scFv), BG-modified auristatin F (AURIF), monomethyl auristatin analogues (MMAE/MMAF)., Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Mira Woitok,1,2 Diana Klose,1 Stefano Di Fiore,1 Wolfgang Richter,3 Christoph Stein,1 Gerrit Gresch,1 Elena Grieger,1 Stefan Barth,1 Rainer Fischer,1,2 Katharina Kolberg,1,* Judith Niesen1,* 1Fraunhofer Institute for Molecular Biology and Applied Ecology (IME), Aachen, Germany; 2Institute of Molecular Biotechnology (Biology VII), RWTH Aachen University, Aachen, Germany; 3Tube Pharmaceuticals GmbH, Vienna, Austria *These authors contributed equally to this work Abstract: Antibody–drug conjugates (ADCs) can deliver toxins to specific targets such as tumor cells. They have shown promise in preclinical/clinical development but feature stoichiometrically undefined chemical linkages, and those based on full-size antibodies achieve only limited tumor penetration. SNAP-tag technology can overcome these challenges by conjugating benzylguanine-modified toxins to single-chain fragment variables (scFvs) with 1:1 stoichio­metry while preserving antigen binding. Two (human and mouse) scFv-SNAP fusion proteins recognizing the epidermal growth factor receptor (EGFR) were expressed in HEK 293T cells. The purified fusion proteins were conjugated to auristatin F (AURIF). Binding activity was confirmed by flow cytometry/immunohistochemistry, and cytotoxic activity was confirmed by cell viability/apoptosis and cell cycle arrest assays, and a novel microtubule dynamics disassembly assay was performed. Both ADCs bound specifically to their target cells in vitro and ex vivo, indicating that the binding activity of the scFv-SNAP fusions was unaffected by conjugation to AURIF. Cytotoxic assays confirmed that the ADCs induced apoptosis and cell cycle arrest at nanomolar concentrations and microtubule disassembly. The SNAP-tag technology provides a platform for the development of novel ADCs with defined conjugation sites and stoichiometry. We achieved the stable and efficient linkage of AURIF to human or murine scFvs using the SNAP-tag technology, offering a strategy to improve the development of personalized medicines. Keywords: epidermal growth factor receptor, EGFR, antibody–drug conjugate, ADC, SNAP-tag technology, single-chain fragment variable, scFv, BG-modified auristatin F, AURIF

Published
2017

3. Operational experience of the Belle II pixel detector

Author

Wang, B., Abudinen, F., Ackermann, K., Ahlburg, P., Albalawi, M., Alonso, O., Andricek, L., Ayad, R., Babu, V., Baur, A., Bernlochner, F., Bilka, T., Bolz, A., Bozek, A., Camien, C., Caldwell, A., Cao, L., Chekelian, V., Dieguez, A., Dingfelder, J., Doležal, Z., Fras, M., Frey, A., Gabriel, M., Gadow, K., Gessler, T., Giakoustidis, G., Gioi, L., Greenwald, D., Heck, M., Hensel, M., Hoek, M., Huber, S., Kandra, J., Kapusta, P., Karl, R., Kehl, J., Kiesling, C., Kisielewski, B., Kittlinger, D., Klose, D., Kodyš, P., Koffmane, C., Konorov, I., Krivokuca, S., Kuhr, T., Kurz, S., Kvasnička, P., Lange, J.S., Lautenbach, K., Leis, U., Leitl, P., Levit, D., Liemann, G., Liu, Q., Liu, Z., Lück, T., Mariñas, C., Mccarney, S., Moser, H.G., Moya, D., Müller, F.J., Müller, F., Niebuhr, C., Ninkovic, J., Paschen, B., Paul, S., Peric, I., Pitzl, D., Rabusov, A., Reif, M., Reiter, S.P., Richter, R., Ritter, M., Ritzert, M., Sanchez, J.G., Scavino, B., Schaller, G., Schmitz, J., Schnecke, M., Schopper, F., Schreeck, H., Schwenker, B., Schwickardi, M., Sedlmeyer, R., Sfienti, C., Simon, F., Skambraks, S., Skorupa, J., Soloviev, Y., Spruck, B., Stefkova, S., Stever, R., Tafelmayer, E., Takahashi, M., Vila, I., Virto, A.L., Vogt, S., Wang, C., Wieduwilt, P., Windel, H., Ye, H., Zhao, J., and Žlebčík, R.

Published
2022
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4. Commissioning and performance of the Belle II pixel detector

Author

Ye, H., Abudinen, F., Ackermann, K., Ahlburg, P., Albalawi, M., Alonso, O., Andricek, L., Ayad, R., Babu, V., Bilka, T., Boronat, M., Bozek, A., Camien, C., Caldwell, A., Chekelian, V., Deschamps, B., Dieguez, A., Dingfelder, J., Doležal, Z., Esperante, D., Fras, M., Frey, A., Fuster, J., Gabriel, M., Gadow, K., Gebauer, U., Gessler, T., Giakoustidis, G., Gioi, L., Gomis, P., Greenwald, D., Heck, M., Hemperek, T., Hensel, M., Hoek, M., Huber, S., Kandra, J., Kapusta, P., Kiesling, C., Kisielewski, B., Kittlinger, D., Klose, D., Kodyš, P., Koffmane, C., Konorov, I., Krivokuca, S., Krüger, H., Kuhr, T., Kvasnička, P., Lacasta, C., Lange, J.S., Lautenbach, K., Leis, U., Leitl, P., Levit, D., Liemann, G., Liu, Q., Liu, Z., Lück, T., Lütticke, F., Macharski, L., Mariñas, C., Mccarney, S., Moser, H.G., Moya, D., Mueller, F.J., Müller, F., Niebuhr, C., Ninkovic, J., Paschen, B., Paul, S., Peric, I., Poblotzki, F., Rabusov, A., Reiter, S.P., Richter, R., Ritter, M., Ritzert, M., Sanchez, J.G., Scavino, B., Schaller, G., Schnecke, M., Schopper, F., Schreeck, H., Schwenker, B., Sedlmeyer, R., Sfienti, C., Simon, F., Skambraks, S., Soloviev, Y., Spruck, B., Stefkova, S., Stever, R., Stolzenberg, U., Tafelmayer, E., Takahashi, M., Vila, I., Virto, A.L., Vogt, S., Vos, M., Wang, C., Wermes, N., Wessel, C., Wieduwilt, P., Windel, H., and Zhao, J.

Published
2021
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5. Belle II pixel detector: Performance of final DEPFET modules

Author

Paschen, B., Abudinen, F., Ackermann, K., Ahlburg, P., Albalawi, M., Alonso, O., Andricek, L., Ayad, R., Babu, V., Bai, Y., Bilka, T., Blanco, R., Boronat, M., Bozek, A., Camien, C., Caldwell, A., Chekelian, V., Deschamps, B., Dieguez, A., Dingfelder, J., Doležal, Z., Esperante, D., Fras, M., Frey, A., Fuster, J., Gabriel, M., Gadow, K., Gebauer, U., Germic, L., Gessler, T., Getzkow, D., Gioi, L., Gomis, P., Heck, M., Hemperek, T., Hensel, M., Hoek, M., Huber, S., Kandra, J., Kapusta, P., Kiesling, C., Kisielewski, B., Kittlinger, D., Klose, D., Kodyš, P., Koffmane, C., Konorov, I., Krivokuca, S., Krüger, H., Kuhr, T., Kühn, W., Kvasnička, P., Lacasta, C., Lange, J.S., Lautenbach, K., Leis, U., Leitl, P., Levit, D., Liemann, G., Liu, Z., Lütticke, F., Macharski, L., Mariñas, C., Mccarney, S., Moser, H.G., Moya, D., Müller, F.J., Müller, F., Münchow, D., Niebuhr, C., Ninkovic, J., Packheiser, U., Paul, S., Peric, I., Poblotzki, F., Rabusov, A., Reiter, S.P., Richter, R., Ritter, M., Ritzert, M., Rummel, S., Sanchez, J.G., Scavino, B., Schaller, G., Schnecke, M., Schopper, F., Schreeck, H., Schwenker, B., Sedlmeyer, R., Sfienti, C., Simon, F., Skambraks, S., Soloviev, Y., Spruck, B., Stever, R., Stolzenberg, U., Takahashi, M., Tafelmayer, E., Vila, I., Virto, A.L., Vogt, S., Vos, M., Wang, C., Wermes, N., Wessel, C., Wieduwilt, P., Windel, H., Ye, H., and Zhao, J.

Published
2020
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6. An on-line Integrated Bookkeeping: electronic run log book and Meta-Data Repository for ATLAS

Author

Barczyc, M., Burckhart-Chromek, D., Caprini, M., Conceicao, J. Da Silva, Dobson, M., Flammer, J., Jones, R., Kazarov, A., Kolos, S., Liko, D., Mapelli, L., Soloviev, I., NIKHEF, R. Hart, Amorim, A., Klose, D., Lima, J., Lucio, L., Pedro, L., Wolters, H., NIPNE, E. Badescu, Alexandrov, I., Kotov, V., JINR, M. Mineev, and PNPI, Yu. Ryabov

Subjects
Computer Science - Databases, H.2.4, H.2.8
Abstract

In the context of the ATLAS experiment there is growing evidence of the importance of different kinds of Meta-data including all the important details of the detector and data acquisition that are vital for the analysis of the acquired data. The Online BookKeeper (OBK) is a component of ATLAS online software that stores all information collected while running the experiment, including the Meta-data associated with the event acquisition, triggering and storage. The facilities for acquisition of control data within the on-line software framework, together with a full functional Web interface, make the OBK a powerful tool containing all information needed for event analysis, including an electronic log book. In this paper we explain how OBK plays a role as one of the main collectors and managers of Meta-data produced on-line, and we'll also focus on the Web facilities already available. The usage of the web interface as an electronic run logbook is also explained, together with the future extensions. We describe the technology used in OBK development and how we arrived at the present level explaining the previous experience with various DBMS technologies. The extensive performance evaluations that have been performed and the usage in the production environment of the ATLAS test beams are also analysed.

Published
2003

7. Verification and Diagnostics Framework in ATLAS Trigger/DAQ

Author

Alexandrov, I., Amorim, A., Badescu, E., Barczyk, M., Burckhart-Chromek, D., Caprini, M., Conceicao, J. Da Silva, Dobson, M., Flammer, J., Hart, R., Jones, R., Kazarov, A., Kolos, S., Kotov, V., Klose, D., Liko, D., Lima, J., Lucio, L., Mapelli, L., Mineev, M., Pedro, L., Ryabov, Yu., Soloviev, I., and Wolters, H.

Subjects
High Energy Physics - Experiment
Abstract

Trigger and data acquisition (TDAQ) systems for modern HEP experiments are composed of thousands of hardware and software components depending on each other in a very complex manner. Typically, such systems are operated by non-expert shift operators, which are not aware of system functionality details. It is therefore necessary to help the operator to control the system and to minimize system down-time by providing knowledge-based facilities for automatic testing and verification of system components and also for error diagnostics and recovery. For this purpose, a verification and diagnostic framework was developed in the scope of ATLAS TDAQ. The verification functionality of the framework allows developers to configure simple low-level tests for any component in a TDAQ configuration. The test can be configured as one or more processes running on different hosts. The framework organizes tests in sequences, using knowledge about components hierarchy and dependencies, and allowing the operator to verify the functionality of any subset of the system. The diagnostics functionality includes the possibility to analyze the test results and diagnose detected errors, e.g. by starting additional tests and understanding reasons of failures. A conclusion about system functionality, error diagnosis and recovery advice are presented to the operator in a GUI. The current implementation uses the CLIPS expert system shell for knowledge representation and reasoning., Comment: Paper for the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003 (presented as poster). Format: PDF, using MSWord template, 5 pages, 6 figures. PSN TUGP005

Published
2003

8. Online Monitoring software framework in the ATLAS experiment

Author

Kolos, S., Alexandrov, I., Amorim, A., Barczyk, M., Badescu, E., Burckhart-Chromek, D., Caprini, M., Conceicao, J. Da Silva, Dobson, M., Flammer, J., Hart, R., Jones, R., Kazarov, A., Klose, D., Kotov, V., Liko, D., Lima, J., Lucio, L., Mapelli, L., Mineev, M., Pedro, L., Ryabov, Yu., Soloviev, I., and Wolters, H.

Subjects
High Energy Physics - Experiment
Abstract

A fast, efficient and comprehensive monitoring system is a vital part of any HEP experiment. This paper describes the software framework that will be used during ATLAS data taking to monitor the state of the data acquisition and the quality of physics data in the experiment. The framework has been implemented by the Online Software group of the ATLAS Trigger&Data Acquisition (TDAQ) project and has already been used for several years in the ATLAS test beams at CERN. The inter-process communication in the framework is implemented via CORBA, which provides portability between different operating systems and programming languages. This paper will describe the design and the most important aspects of the online monitoring framework implementation. It will also show some test results, which indicate the performance and scalability of the current implementation., Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 6 pages, PDF. PSN THGT003

Published
2003

9. 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

10. 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, Fcrrari, 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, Kuge, A, Lankford, A, Lehmann, G, LeVine, MJ, Mapelli, L, Martin, B, McLaren, R, Meirosu, C, Mineev, M, Misiejuk, A, Mornacchi, G, Müller, M, Murillo, R, Nagasaka, Y, Petersen, J, Pone, 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, Wiekens, F, Wiesmann, M, Wu, M, and Yasu, Y

Abstract

In the ATLAS experiment at the LHC, the output of readout 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. ©2005 IEEE.

Published
2005

18. Operational Experience and Performance of the Belle II Pixel Detector

Author

Liu, Q., primary, Abudinen, F., additional, Ackermann, K., additional, Ahlburg, P., additional, Albalawi, M., additional, Alonso, O., additional, Andricek, L., additional, Ayad, R., additional, Babu, V., additional, Bilka, T., additional, Bozek, A., additional, Camien, C., additional, Caldwell, A., additional, Chekelian, V., additional, Deschamps, B., additional, Dieguez, A., additional, Dingfelder, J., additional, Doležal, Z., additional, Fras, M., additional, Frey, A., additional, Gabriel, M., additional, Gadow, K., additional, Gebauer, U., additional, Gessler, T., additional, Giakoustidis, G., additional, Gioi, L., additional, Gomis, P., additional, Greenwald, D., additional, Heck, M., additional, Hemperek, T., additional, Hensel, M., additional, Hoek, M., additional, Huber, S., additional, Kandra, J., additional, Kapusta, P., additional, Kiesling, C., additional, Kisielewski, B., additional, Kittlinger, D., additional, Klose, D., additional, Kodyš, P., additional, Koffmane, C., additional, Konorov, I., additional, Krivokuca, S., additional, Krüger, H., additional, Kuhr, T., additional, Kvasnička, P., additional, Lange, J. S., additional, Lautenbach, K., additional, Leis, U., additional, Leitl, P., additional, Levit, D., additional, Liemann, G., additional, Liu, Z., additional, Lück, T., additional, Lütticke, F., additional, Macharski, L., additional, Mariñas, C., additional, Mccarney, S., additional, Moser, H. G., additional, Moya, D., additional, Mueller, F. J., additional, Müller, F., additional, Niebuhr, C., additional, Ninkovic, J., additional, Paschen, B., additional, Paul, S., additional, Peric, I., additional, Poblotzki, F., additional, Rabusov, A., additional, Reiter, S. P., additional, Richter, R., additional, Ritter, M., additional, Ritzert, M., additional, Sanchez, J. G., additional, Scavino, B., additional, Schaller, G., additional, Schnecke, M., additional, Schopper, F., additional, Schreeck, H., additional, Schwenker, B., additional, Sedlmeyer, R., additional, Sfienti, C., additional, Simon, F., additional, Skambraks, S., additional, Soloviev, Y., additional, Spruck, B., additional, Stefkova, S., additional, Stever, R., additional, Stolzenberg, U., additional, Tafelmayer, E., additional, Takahashi, M., additional, Vila, I., additional, Virto, A. L., additional, Vogt, S., additional, Vos, M., additional, Wang, C., additional, Wermes, N., additional, Wessel, C., additional, Wieduwilt, P., additional, Windel, H., additional, Ye, H., additional, Zhao, J., additional, Glazov, A., additional, and Praz, C., additional

Published
2021
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22. Gesetz für den Schutz vor Masern und zur Stärkung der Impfprävention (Masernschutzgesetz)

Author

Küpke, NK, Matysiak-Klose, D, Siedler, A, Wiechmann, O, and Diercke, M

Subjects
Masernschutzgesetz, Masern, Meldepflicht, Impfung, ddc:610, 610 Medizin und Gesundheit, IfSG
Abstract

Seit dem 1.3.2020 gilt das Masernschutzgesetz. Im Zentrum des Gesetzes steht eine Nachweispflicht für das Vorliegen einer Masern-Immunität für besondere Personengruppen. Das Masernschutzgesetz sieht flankierende Maßnahmen dabei vor: eine Meldepflicht für SSPE und Nachweise von S. pneumoniae. Ferner ist, wie das Epidemiologische Bulletin 10/2020 ausführt, nun jeder Arzt zur Durchführung der Schutzimpfung berechtigt, Krankenkassen können Versicherte über fällige Schutzimpfungen informieren. Darüber hinaus sind im Masernschutzgesetz weitere neue Meldepflichten nach IfSG geregelt. Diese betreffen die zoonotische Influenza, Erkrankung und der Tod an einer behandlungsbedürftigen TB, C.-difficile-Infektionen, Bornaviren, Chikungunya-Viren, Dengue-Viren, MERS, humanpathogene Vibrionen spp. sowie West-Nil-Viren, Zika-Viren und der direkte Nachweis von MRSA, Carbapenem-unempfindliche Enterobacteriaceae und Acinetobacter sowie N. gonorrhoeae mit verminderter Empfindlichkeit gegen bestimmte Antibiotika.

Published
2020

23. Deployment and use of the ATLAS DAQ in the combined test beam

Author

Gadomski, S., Abolins, M., Alexandrov, I., Amorim, A., Padilla-Aranda, C., Badescu, E., Barros, N., Beck, H.P., Blair, R., Burckhart-Chromek, D., Caprini, M., Ciobotaru, M., Conde-Muino, P., Corso-Radu, A., Di Girolamo, B., Diaz-Gomez, M., Dobinson, R., Dobson, M., Ferrari, R., Ferrer, M.L., Francis, D., Gameiro, S., Gorini, B., Gruwe, M., Haas, S., Haeberli, C., Hauser, R., Hughes-Jones, R., Joos, M., Kazarov, A., Klose, D., Kolos, S., Kotov, V., Lehmann, G., Mapelli, L., Martin, B., McLaren, R., Meirosu, C., Mineev, M., Negri, A., Pasqualucci, E., Perez-Reale, V., Petersen, J., Prigent, D., Ryabov, Y., Sanchez, C., Santamarina-Rios, C., Schlereth, J., Sloper, J.E., Soloviev, I., Stancu, S., Tremblet, L., Unel, G., Vandelli, W., Werner, P., Wheeler, S., Wiesmann, M., and Yasu, Y.

Subjects
Data entry -- Research, Data entry -- Analysis, Trigger circuits -- Research, Algorithms -- Methods, Algorithms -- Usage, Algorithm, Business, Electronics, Electronics and electrical industries
Abstract

The 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. The possibility to operate a remote Event Filter farm synchronized with the ATLAS Trigger and Data Acquisition System (TDAQ) was also tested. Event data, as well as detector conditions data, were made available for offline analysis.

Published
2006

24. Online software for the ATLAS test beam data acquisition system

Author

Alexandrov, I., Amorim, A., Badescu, E., Barczyk, M., Burckhart-Chromek, D., Caprini, M., Conceicao, J. Da Silva, Flammer, J., Di Girolamo, B., Dobson, M., Hart, R., Jones, R., Kazarov, A., Kolos, S., Kotov, V., Klose, D., Liko, D., Lima, J., Lucio, L., Mapelli, L., Mineev, M., Pedro, L., Ryabov, Y., Soloviev, I., and Wolters, H.

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

The Online Software is the global system software of the ATLAS data acquisition (DAQ) system, responsible for the configuration, control and information sharing of the ATLAS DAQ System. A test beam facility offers the ATLAS detectors the possibility to study important performance aspects as well as to proceed on the way to the final ATLAS DAQ system. Last year, three subdetectors of ATLAS--separately and combined--were successfully using the Online Software for the control of their datataking. In this paper, we describe the different components of the Online Software together with their usage at the ATLAS test beam. Index Terms--Control systems, data acquisition, elementary particle, physics, software.

Published
2004

25. An implementation for the ATLAS conditions data management based on relational DBMSs

Author

Amorim, A., Lima, J., Pedro, L., Klose, D., Oliveira, C., and Barros, N.

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

Developing the trigger and the data acquisition (TDAQ) for A Toroidal LHC ApparatuS (ATLAS) detector at LHC poses new challenges including the requirement to monitor, calibrate and align the detector while the on line selection is running simultaneously over thousands of processors. These 'Conditions' include slowly evolving data such as detector alignment, calibration, and robustness, as well as data from the detector control system that cannot be stored with the event data, but must be directly accessible from each event. Motivated by the ATLAS data challenges and the recent evolution of Open Source database systems such as MySQL and Postgres, we have developed an implementation of the ATLAS Conditious database system based on the MySQL Relational DBMS. Together with Postgres, MySQL is well known for performance and simplicity and an increasing number of supported features. Several issues were investigated. * How to develop a programmable API that could be used everywhere through the ATLAS online and offline computing systems; * What are the optimal ways to map the Conditions data model into a relational model; * What is the data clustering model that is best suited to address the ATLAS data volume scalability problems. Some general issues of Conditions databases are also studied, including * the schema; * facilities for tagging and versioning; * problems involved in managing the tiny detector control data as well as the complex; * interrelated detector configuration objects. The extensive tests that were performed to monitor the development of the system are also described.

Published
2004

36. The Recommended Values of 239Pu and 240Pu Concentrations in IAEA Standard Reference Material Estimated by Three Measuring Methods: Isotope Dilution-Thermal Ionizaton Mass Spectrometry, Inductively Coupled Plasma Mass Spectrometry and Alpha Spectrometry

Author

Shinonaga, T., primary, Aigner, H., additional, Klose, D., additional, Hedberg, M., additional, Raab, W., additional, Donohue, D., additional, Spindler, P., additional, and Froeschl, H., additional

Published
2006
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39. The Belle II vertex detector integration

Author

Kodyš, P., primary, Abudinen, F., additional, Ackermann, K., additional, Ahlburg, P., additional, Aihara, H., additional, Albalawi, M., additional, Alonso, O., additional, Andricek, L., additional, Ayad, R., additional, Aziz, T., additional, Babu, V., additional, Bacher, S., additional, Bahinipati, S., additional, Bai, Y., additional, Barberio, E., additional, Baroncelli, Ti., additional, Baroncelli, To., additional, Basith, A.K., additional, Batignani, G., additional, Bauer, A., additional, Behera, P.K., additional, Bertacchi, V., additional, Bettarini, S., additional, Bhuyan, B., additional, Bilka, T., additional, Blanco, R., additional, Bosi, F., additional, Boronat, M., additional, Bosisio, L., additional, Bozek, A., additional, Buchsteiner, F., additional, Camien, C., additional, Caldwell, A., additional, Caria, G., additional, Casarosa, G., additional, Ceccanti, M., additional, Červenkov, D., additional, Chekelian, V., additional, Czank, T., additional, Dash, N., additional, De Nuccio, M., additional, Deschamps, B., additional, Dieguez, A., additional, Dingfelder, J., additional, Doležal, Z., additional, Esperante, D., additional, Fischer, P., additional, Forti, F., additional, Fras, M., additional, Frey, A., additional, Friedl, M., additional, Fuster, J., additional, Gabriel, M., additional, Gadow, K., additional, Gebauer, U., additional, Germic, L., additional, Gessler, T., additional, Getzkow, D., additional, Gioi, L., additional, Gobbo, B., additional, Gomis, P., additional, Grimaldo, J.A.M., additional, Hara, K., additional, Heck, M., additional, Hemperek, T., additional, Hensel, M., additional, Higuchi, T., additional, Hoek, M., additional, Irmler, C., additional, Ishikawa, A., additional, Jeon, H.B., additional, Joo, C., additional, Kaleta, M., additional, Kandra, J., additional, Kambara, N., additional, Kang, K.H., additional, Kapusta, P., additional, Kiesling, C., additional, Kisielewski, B., additional, Kittlinger, D., additional, Klose, D., additional, Koffmane, C., additional, Kohriki, T., additional, Koike, S., additional, Komarov, I., additional, Konorov, I., additional, Krivokuca, S., additional, Krüger, H., additional, Kuhr, T., additional, Kühn, W., additional, Kumar, M., additional, Kumar, R., additional, Kun, W., additional, Kvasnička, P., additional, La Licata, C., additional, Lacasta, C., additional, Lalwani, K., additional, Lanceri, L., additional, Lange, J.S., additional, Lautenbach, K., additional, Lee, J.Y., additional, Lee, S.C., additional, Leis, U., additional, Leitl, P., additional, Levit, D., additional, Libby, J., additional, Liemann, G., additional, Liu, Z., additional, Lueck, T., additional, Lütticke, F., additional, Macharski, L., additional, Mammini, P., additional, Mariñas, C., additional, Martini, A., additional, Mayekar, S.N., additional, Mccarney, S., additional, Mohanty, G.B., additional, Morii, T., additional, Moser, H.G., additional, Moya, D., additional, Mueller, F.J., additional, Müller, F., additional, Münchow, D., additional, Nakamura, K.R., additional, Natkaniec, Z., additional, Niebuhr, C., additional, Ninkovic, J., additional, Onuki, Y., additional, Ostrowicz, W., additional, Packheiser, U., additional, Paladino, A., additional, Paoloni, E., additional, Park, H., additional, Paschen, B., additional, Paul, S., additional, Peric, I., additional, Poblotzki, F., additional, Prasanth, K., additional, Profeti, A., additional, Rabusov, A., additional, Rashevskaya, I., additional, Rao, K.K., additional, Reiter, S.P., additional, P.K., Resmi, additional, Richter, R., additional, Ritter, M., additional, Ritzert, M., additional, Rizzo, G., additional, Rozanska, M., additional, Rummel, S., additional, Sahoo, D., additional, Sanchez, J.G., additional, Sasaki, J., additional, Sato, N., additional, Scavino, B., additional, Schaller, G., additional, Schnecke, M., additional, Schopper, F., additional, Schreeck, H., additional, Schultschik, S., additional, Schwanda, C., additional, Schwenker, B., additional, Sedlmeyer, R., additional, Sfienti, C., additional, Simon, F., additional, Skambraks, S., additional, Soloviev, Y., additional, Spruck, B., additional, Stever, R., additional, Stolzenberg, U., additional, Stypula, J., additional, Suzuki, J., additional, Tafelmayer, E., additional, Takahashi, M., additional, Tanaka, S., additional, Tanigawa, H., additional, Taylor, G.N., additional, Thalmeier, R., additional, Tsuboyama, T., additional, Urquijo, P., additional, Vila, I., additional, Virto, A.L., additional, Vitale, L., additional, Vogt, S., additional, Vos, M., additional, Wang, C., additional, Watanuki, S., additional, Watanabe, M., additional, Watson, I.J., additional, Webb, J., additional, Wermes, N., additional, Wessel, C., additional, Wiechczynski, J., additional, Wieduwilt, P., additional, Williams, S., additional, Windel, H., additional, Ye, H., additional, Yin, H., additional, Zani, L., additional, and Zhao, J., additional

Published
2019
Full Text
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40. DEPFET pixel detector in the Belle II experiment

Author

Abudinen, F., primary, Ackermann, K., additional, Ahlburg, P., additional, Albalawi, M., additional, Alonso, O., additional, Andricek, L., additional, Ayad, R., additional, Babu, V., additional, Bai, Y., additional, Bilka, T., additional, Blanco, R., additional, Boronat, M., additional, Bozek, A., additional, Camien, C., additional, Caldwell, A., additional, Chekelian, V., additional, Deschamps, B., additional, Dieguez, A., additional, Dingfelder, J., additional, Doležal, Z., additional, Esperante, D., additional, Fras, M., additional, Frey, A., additional, Fuster, J., additional, Gabriel, M., additional, Gadow, K., additional, Gebauer, U., additional, Germic, L., additional, Gessler, T., additional, Getzkow, D., additional, Gioi, L., additional, Gomis, P., additional, Heck, M., additional, Hemperek, T., additional, Hensel, M., additional, Hoek, M., additional, Kandra, J., additional, Kapusta, P., additional, Kiesling, C., additional, Kisielewski, B., additional, Kittlinger, D., additional, Klose, D., additional, Kodyš, P., additional, Koffmane, C., additional, Konorov, I., additional, Krivokuca, S., additional, Krüger, H., additional, Kuhr, T., additional, Kühn, W., additional, Kvasnička, P., additional, Lacasta, C., additional, Lange, J.S., additional, Lautenbach, K., additional, Leis, U., additional, Leitl, P., additional, Levit, D., additional, Liemann, G., additional, Liu, Z., additional, Lütticke, F., additional, Macharski, L., additional, Mariñas, C., additional, Mccarney, S., additional, Moser, H.G., additional, Moya, D., additional, Mueller, F.J., additional, Müller, F., additional, Münchow, D., additional, Niebuhr, C., additional, Ninkovic, J., additional, Packheiser, U., additional, Paschen, B., additional, Paul, S., additional, Peric, I., additional, Poblotzki, F., additional, Rabusov, A., additional, Reiter, S.P., additional, Richter, R., additional, Ritter, M., additional, Ritzert, M., additional, Rummel, S., additional, Sanchez, J.G., additional, Scavino, B., additional, Schaller, G., additional, Schnecke, M., additional, Schopper, F., additional, Schreeck, H., additional, Schwenker, B., additional, Sedlmeyer, R., additional, Sfienti, C., additional, Simon, F., additional, Skambraks, S., additional, Soloviev, Y., additional, Spruck, B., additional, Stever, R., additional, Stolzenberg, U., additional, Takahashi, M., additional, Tafelmayer, E., additional, Vila, I., additional, Virto, A.L., additional, Vogt, S., additional, Vos, M., additional, Wang, C., additional, Wermes, N., additional, Wessel, C., additional, Wieduwilt, P., additional, Windel, H., additional, Ye, H., additional, and Zhao, J., additional

Published
2019
Full Text
View/download PDF

48. LCG Conditions Database Project Overview

Author

Valassi, A, Düllmann, D, Amorim, A, Barros, N, Franco, T, Klose, D, Pedro, L, Schmidt, S, and Tsulaia, V

Subjects
Computing and Computers
Published
2005

49. Manual for the extended ConditionsDB interface for ATLAS

Author

Amorim, A, Barros, N, Klose, D, Lima, J, Oliveira, C, and Pedro, L

Subjects
Detectors and Experimental Techniques
Abstract

This document reports the evolution of the Conditions Database (CondDB) interface for the ATLAS experiment. A new CondDB with extended features have been developed during the last moths and this document is the first step that will allow its usage. The extended version of CondDB is based on the MySQL inplementation [1] and it is his natural sucessor. In this document will be presented the notes for the extended CondDB - MySQL implementation (0.3 version). It will provide a guide line to the interface, including a detailed description of the major changes, the necessary documentation to start using the new features and also an enumeration of bug fixes.

Published
2003

50. Evaluation of the Relational Implementation of the Conditions Database Interface

Author

Amorim, A, Barros, N, Klose, D, Lima, J, Oliveira, C, and Pedro, L

Subjects
Detectors and Experimental Techniques
Abstract

The ConditionsDB interface is a C++ class library, built on top of a database management system, to enable storage and retrieval of detectorrelated information with an associated period of validity. This document describes a first comparison study between the Oracle v0.4.1.6 and the MySQL v0.2.6b implementations of the ConditionsDB interface. A set of performance tests were executed both running locally in the database server machine and using clients in remote machines. It also addresses the issues related to the Large Scale Tests performed using the MySQL prototype. The necessary steps to build and install both implementations are also described.

Published
2003

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