ICALEPCS2017 - List of Authors (Gorzawski, A.A.)

Paper	Title	Page
TUSH201	Online Luminosity Control and Steering at the LHC	989
	M. Hostettler, R. Alemany-Fernández, A. Calia, F. Follin, K. Fuchsberger, M. Gabriel, A.A. Gorzawski, G.H. Hemelsoet, M. Hruska, D. Jacquet, G. Papotti CERN, Geneva, Switzerland
	This contribution reviews the novel LHC luminosity control software stack. All luminosity-related manipulations and scans in the LHC interaction points are managed by the LHC luminosity server, which enforces concurrency correctness and transactionality. Operational features include luminosity optimization scans to find the head-on position, luminosity levelling, and the execution of arbitrary scan patterns defined by the LHC experiments in a domain specific language. The LHC luminosity server also provides full built-in simulation capabilities for testing and development without affecting the real hardware. The performance of the software in 2016 and 2017 LHC operation is discussed and plans for further upgrades are presented.
	Poster TUSH201 [1.113 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUSH201
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THPHA177	Tensorics - A Java Library for Manipulating Multi-Dimensional Data	1842
	K. Fuchsberger, A. Calia, J.C. Garnier, A.A. Gorzawski, M. Hostettler, K.H. Krol CERN, Geneva, Switzerland
	Accelerator control software often has to handle multi-dimensional data of physical quantities when aggregating readings from multiple devices (e.g. the reading of an orbit in the LHC). When storing such data as nested hashtables or lists, the ability to do structural operations or calculations along an arbitrary dimensions is hampered. Tensorics is a Java library to provide a solution for these problems. A Tensor is a n-dimensional data structure, and both structural (e.g. extraction) and mathematical operations are possible along any dimension. Any Java class or interface can serve as a dimension, with coordinates being instances of a dimension class. This contribution will elaborate on the design and the functionality of the Tensorics library and highlight existing use cases in operational LHC control software, e.g. the LHC luminosity server or the LHC chromaticity correction application.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA177
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Online Luminosity Control and Steering at the LHC

989

M. Hostettler, R. Alemany-Fernández, A. Calia, F. Follin, K. Fuchsberger, M. Gabriel, A.A. Gorzawski, G.H. Hemelsoet, M. Hruska, D. Jacquet, G. Papotti
CERN, Geneva, Switzerland

This contribution reviews the novel LHC luminosity control software stack. All luminosity-related manipulations and scans in the LHC interaction points are managed by the LHC luminosity server, which enforces concurrency correctness and transactionality. Operational features include luminosity optimization scans to find the head-on position, luminosity levelling, and the execution of arbitrary scan patterns defined by the LHC experiments in a domain specific language. The LHC luminosity server also provides full built-in simulation capabilities for testing and development without affecting the real hardware. The performance of the software in 2016 and 2017 LHC operation is discussed and plans for further upgrades are presented.

Poster TUSH201 [1.113 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUSH201

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPHA177

Tensorics - A Java Library for Manipulating Multi-Dimensional Data

1842

K. Fuchsberger, A. Calia, J.C. Garnier, A.A. Gorzawski, M. Hostettler, K.H. Krol
CERN, Geneva, Switzerland

Accelerator control software often has to handle multi-dimensional data of physical quantities when aggregating readings from multiple devices (e.g. the reading of an orbit in the LHC). When storing such data as nested hashtables or lists, the ability to do structural operations or calculations along an arbitrary dimensions is hampered. Tensorics is a Java library to provide a solution for these problems. A Tensor is a n-dimensional data structure, and both structural (e.g. extraction) and mathematical operations are possible along any dimension. Any Java class or interface can serve as a dimension, with coordinates being instances of a dimension class. This contribution will elaborate on the design and the functionality of the Tensorics library and highlight existing use cases in operational LHC control software, e.g. the LHC luminosity server or the LHC chromaticity correction application.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA177

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)