OBELICS activities aim at encouraging common developments and adoption of common solutions for data processing, archive, analysis and access among ESFRI and world class projects in Astronomy and Astroparticle Physics, such as CTA, SKA, KM3NeT, EUCLID, LSST, EGO-Virgo, E-ELT. This website contains the main developments of the OBELICS workpackage in three different areas involving:
The OBELICS Repository does not require registration: users can browse through the repository and download softwares without registering.
The OBELICS Repository is organized as the following:
This Software Repository includes the full list of software being developed within Task 3.4, including versions released in Deliverable 3.4 (2016 Release) and 3.15 (2018 Release).
The intended audience for this software repository are scientists working on analysis of large data sets as well members of the public which may have a need or interest in such software, for commercial or non-commercial applications.
If you use libraries developed or improved within the D-ANA task, we would appreciate it if you include a link to this page in the software documentation and/or any derived publications so that the readers are able to locate the original software easily. This will also help us gauge the public interest and use of these libraries.
This Software Repository includes the full list of software being developed within Task 3.3, including versions released in Deliverable 3.14.
Copyright © Members of the ASTERICS Collaboration, 2015. See www.asterics2020.eu for details of the ASTERICS project and the collaboration. ASTERICS (Astronomy ESFRI & Research Infrastructure Cluster) is a project funded by the European Commission as a Research and Innovation Actions (RIA) within the H2020 Framework Programme. ASTERICS began in May 2015 and will run for 4 years.
This work is licensed under the Creative Commons Attribution-Noncommercial 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/3.0/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, and USA. The work must be attributed by attaching the following reference to the copied elements: “Copyright © Members of the ASTERICS Collaboration, 2015. See www.asterics2020.eu for details of the ASTERICS project and the collaboration”.
WORK IN PROGRESS - This page will be soon updated with the ASTERICS latest development in Machine Learning.