EPJ Web Conf.
Volume 207, 2019Very Large Volume Neutrino Telescopes (VLVnT-2018)
|Number of page(s)||4|
|Published online||10 May 2019|
Computing in the KM3NeT Research Infrastructure
Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics (ECAP), Erwin-Rommel-Str. 1, 91058 Erlangen, Germany
* e-mail: firstname.lastname@example.org
Published online: 10 May 2019
The KM3NeT research infrastructure is currently being established. It will consist of a network of deep-sea neutrino detectors to answer fundamental questions both in particle physics and astrophysics. The complexity and volume of the generated datasets is a challenge for analysis and archival of the data, and requires significant computing resources. The KM3NeT collaboration adopts a tier-like computing model for data management. The KM3NeT data management plan and computing model is presented, and plans for public data with open access are discussed.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.