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Author: Per Alexander Ekman
Publisher:
ISBN: 9789181040128
Category :
Languages : en
Pages : 0
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Book Description
The high event rate delivered by the Large Hadron Collider (LHC) provides experiments with opportunities for new discoveries as well as challenges related to the large amounts of data recorded. Overcoming this requires innovative techniques in the three topics of this thesis: Data acquisition, data analysis, and data compression. In the data taking period of 2015-2018, the ATLAS experiment received 10-70 simultaneous proton-proton collision events every 25 ns. At these high event rates, the experiment relies on trigger methods which only process the interesting collision events and keep detector readout and data storage within bandwidth constraints. The Trigger Level Analysis (TLA) presented in this thesis circumvents these bandwidth constraints by using the smaller event objects reconstructed at the trigger level as input to the analysis. The trigger level objects require custom calibration schemes, one of these was developed as part of this thesis to be used in the current and next iterations of the analysis. The LHC is scheduled to be upgraded to the High Luminosity LHC (HL-LHC) and deliver 200 simultaneous proton-proton collision events. To provide the necessary resolution, readout speed, and radiation hardness, the ATLAS Inner Detector will be upgraded to the new fully silicon-based Inner Tracker (ITk). This thesis presents the work performed in developing, manufacturing, and delivering an automated quality control system for the new detector modules. Quality testing of the detector modules using this system is currently ongoing at multiple international institutes. The large amount of simultaneous events provided by the HL-LHC will also be challenging for data storage, where the amount of ATLAS generated data is projected to be 5 times larger than the storage resources. As the data are already highly compressed using lossless methods, the work in this thesis presents proof-of-principle studies using machine learning-based methods to derive lossy compression algorithms tailored to a variety of datasets. The tool developed for this purpose is made available as an open-source project called "Baler".
Author: Per Alexander Ekman
Publisher:
ISBN: 9789181040128
Category :
Languages : en
Pages : 0
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Book Description
The high event rate delivered by the Large Hadron Collider (LHC) provides experiments with opportunities for new discoveries as well as challenges related to the large amounts of data recorded. Overcoming this requires innovative techniques in the three topics of this thesis: Data acquisition, data analysis, and data compression. In the data taking period of 2015-2018, the ATLAS experiment received 10-70 simultaneous proton-proton collision events every 25 ns. At these high event rates, the experiment relies on trigger methods which only process the interesting collision events and keep detector readout and data storage within bandwidth constraints. The Trigger Level Analysis (TLA) presented in this thesis circumvents these bandwidth constraints by using the smaller event objects reconstructed at the trigger level as input to the analysis. The trigger level objects require custom calibration schemes, one of these was developed as part of this thesis to be used in the current and next iterations of the analysis. The LHC is scheduled to be upgraded to the High Luminosity LHC (HL-LHC) and deliver 200 simultaneous proton-proton collision events. To provide the necessary resolution, readout speed, and radiation hardness, the ATLAS Inner Detector will be upgraded to the new fully silicon-based Inner Tracker (ITk). This thesis presents the work performed in developing, manufacturing, and delivering an automated quality control system for the new detector modules. Quality testing of the detector modules using this system is currently ongoing at multiple international institutes. The large amount of simultaneous events provided by the HL-LHC will also be challenging for data storage, where the amount of ATLAS generated data is projected to be 5 times larger than the storage resources. As the data are already highly compressed using lossless methods, the work in this thesis presents proof-of-principle studies using machine learning-based methods to derive lossy compression algorithms tailored to a variety of datasets. The tool developed for this purpose is made available as an open-source project called "Baler".
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 464
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Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author:
Publisher:
ISBN:
Category : Physics
Languages : en
Pages : 1094
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Book Description
Author: Eric von Hippel
Publisher: Oxford University Press, USA
ISBN: 9780195094220
Category : Business & Economics
Languages : en
Pages : 218
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Book Description
It has long been assumed that new product innovations are typically developed by product manufacturers, an assumption that has inevitably had a major impact on innovation-related research and activities ranging from how firms organize their research and development to how governments measure innovation. In this synthesis of his seminal research, von Hippel challenges that basic assumption and demonstrates that innovation occurs in different places in different industries. Presenting a series of studies showing that end-users, material suppliers, and others are the typical sources of innovation in some fields, von Hippel explores why this variation in the "functional" sources of innovation occurs and how it might be predicted. He also proposes and tests some implications of replacing a manufacturer-as-innovator assumption with a view of the innovation process as predictably distributed across users, manufacturers, and suppliers. Innovation, he argues, will take place where there is greatest economic benefit to the innovator.
Author:
Publisher:
ISBN:
Category : Documentation
Languages : en
Pages : 720
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Author: Khalid Sayood
Publisher: Elsevier
ISBN: 012620862X
Category : Computers
Languages : en
Pages : 704
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Book Description
"Khalid Sayood provides an extensive introduction to the theory underlying today's compression techniques with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression Introduction to Data Compression, includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. Khalid Sayood provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package upon completion of his book."--BOOK JACKET.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 96
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Book Description
For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
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ISBN:
Category :
Languages : en
Pages : 1080
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Author: United States. National Aeronautics and Space Administration
Publisher:
ISBN:
Category :
Languages : en
Pages : 598
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Author:
Publisher:
ISBN:
Category : Information science
Languages : en
Pages : 922
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