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RIS citation export for THPHA177: Tensorics - A Java Library for Manipulating Multi-Dimensional Data

TY - CONF
AU - Fuchsberger, K.
AU - Calia, A.
AU - Garnier, J.C.
AU - Gorzawski, A.A.
AU - Hostettler, M.
AU - Krol, K.H.
ED - Schaa, Volker RW
ED - Costa, Isidre
ED - Fernández, David
ED - Matilla, Óscar
TI - Tensorics - A Java Library for Manipulating Multi-Dimensional Data
J2 - Proc. of ICALEPCS2017, Barcelona, Spain, 8-13 October 2017
C1 - Barcelona, Spain
T2 - International Conference on Accelerator and Large Experimental Control Systems
T3 - 16
LA - english
AB - 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.
PB - JACoW
CP - Geneva, Switzerland
SP - 1842
EP - 1847
KW - ion
KW - operation
KW - controls
KW - factory
KW - luminosity
DA - 2018/01
PY - 2018
SN - 978-3-95450-193-9
DO - 10.18429/JACoW-ICALEPCS2017-THPHA177
UR - http://jacow.org/icalepcs2017/papers/thpha177.pdf
ER -