Data engineering for the electrical quality assurance of the LHC - a preliminary study
by Matej Mertik; Knud Dahlerup-Petersen
International Journal of Data Mining, Modelling and Management (IJDMMM), Vol. 9, No. 1, 2017

Abstract: In this paper, we present a case study of the development of a scientific tool for the data analysis and engineering of large Hadron collider (LHC) commissioning data when implementing electrical quality assurance on the LHC machine. We present the development process of the data models and a prototype application developed on these data models. We explain the iterative process when searching for appropriate models and we explain the preliminary research on feature extraction of the signal necessary for building the models. We conclude the paper with remarks on the preliminary work, developed prototype and its functionalities and we discuss the future development plan.

Online publication date: Wed, 01-Mar-2017

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