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DTSTAMP:20260421T090514Z
LOCATION:Bldg. 8 - Room B 101
DTSTART;TZID=Europe/Stockholm:20260629T164000
DTEND;TZID=Europe/Stockholm:20260629T172000
UID:submissions.pasc-conference.org_PASC26_sess126_msa202@linklings.com
SUMMARY:Data storage and management for high-energy physics
DESCRIPTION:Florine Willemijn de Geus (CERN, University of Twente)\n\nBetw
 een the four main experiments at CERN’s Large Hadron Collider, an estimate
 d 2 EB of high-energy-physics (HEP) data has been recorded and stored sinc
 e 2009.\nEach experiment is governed by a large collaboration, consisting 
 of over one hundred institutes from all over the world. The scale of both 
 the collaborations itself as well as the data collected has led to a highl
 y centralized data management model, where data is pre-processed, stored, 
 and (in large part) analysed in a global federated computing grid.\nThe da
 ta itself is represented as a collection of independent collision events c
 ontaining records of particle decay measurements. Data sets are stored in 
 a columnar data format specifically tuned for the domain, as part of the R
 OOT software framework, and a physics analysis involves processing events 
 to discover the origins of these decay products.\nIn this talk, we will di
 scuss the practices and challenges that go along with the data storage and
  management practices established in HEP. We will provide the (historic) c
 ontext that motivated these practices and lay out today’s HEP computing la
 ndscape, with data as the main focus. Furthermore, we look ahead to the fu
 ture, where co-design with other scientific domains becomes ever more rele
 vant.\n\nDomain: Climate, Weather, and Earth Sciences, Life Sciences, Phys
 ics, Computational Methods and Applied Mathematics\n\nSession Chairs: Flor
 ine Willemijn de Geus (CERN, University of Twente); Vincenzo Eduardo Padul
 ano (CERN); and Ana-Lucia Varbanescu (University of Twente, University of 
 Amsterdam)\n\n
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