PoS - Proceedings of Science
Volume 367 - XXIX International Symposium on Lepton Photon Interactions at High Energies (LeptonPhoton2019) - Posters
Jiangmen Underground Neutrino Observatory computing requirements and infrastructure
G. Andronico*, X. Zhang and W. Li
Full text: pdf
Pre-published on: November 01, 2019
Published on: December 17, 2019
Abstract
The Jiangmen Underground Neutrino Observatory (JUNO) is an underground 20 kton liquid scintillator detector being built in the south of China and expected to be completed by the end of 2021. The JUNO physics program is focused on exploring neutrino properties, by means of electron anti-neutrinos emitted from two nuclear power plants at a baseline of about 53 km. Targeting an unprecedented relative energy resolution of 3% at 1 MeV, JUNO will be able to study neutrino oscillation phenomena and determine neutrino mass ordering with a statistical significance of 3-4 sigma within six years running time. These physics challenges are addressed by a large Collaboration localized in three continents.
Different groups of the Collaboration, as simulation and offline groups, have started the evaluation of the requirements of the experiment for computing and the related resources. In this context, key to the success of JUNO will be the realization of a distributed computing infrastructure, which will satisfy its predicted computing needs. Upon its establishment, it is expected to deliver not more than 3 PB of data per year, to be stored in at least four data centers in China and Europe. Data analysis activities will be distributed in a joint effort. This contribution is meant to report how the JUNO computing infrastructure is going to be designed and which will be its main characteristics.
DOI: https://doi.org/10.22323/1.367.0122
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.