2019/07/26 by Andrea Ceccarelli, Andrea Cioni, Ceccarelli, Andrea +9 · 1 citation
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Data Storage Technologies #Data Analysis #Data Quality and Management #Distributed and Parallel Computing Systems #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an) #hep-ph #physics.data-an
paper · pdf · doi:10.48550/arxiv.1907.11772
*the HepData dump on which this work is based was kindly provided us by K. Ellis, F. Krauss, G. Watt (IPPP Durham). 6 pages, 3 figures,to be published as PoS (DIS2019) 223, in Proceedings of the XXVII International Workshop on Deep Inelastic Scattering and Related Subjects, Torino Italy, 8 - 12 April 2019
arxiv created 2019/07/26 · openalex publication_date 2019/07/26 · arxiv updated 2019/07/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The accumulation of a large amount of new experimental data at an impressive rate at present and future collider experiments has led to important questions concerning data storage and organization, their public access and usability, as well as their efficient usage in order to discriminate between different theories. For the last fourty years, the HEPData database has been the reference database for the worldwide community of elementary particle physicists, from DIS to fixed-target and collider experts. Using as a basis a dump of HEPData*, we discuss possible paths to enhance the capabilities of databases for High Energy Physics. Our starting point is the reorganization of the data in a different scheme, which allows for the application of OLAP techniques to automatically extract information at a multidimensional level, answering to complex queries. The feedback of the DIS community is important for understanding specific needs, aiming at a more effective storage, extraction and presentation of the data and information of their interest.