ESCAPE - Astronomy, Nuclear and Particle Physics - Astronomy, Nuclear and Particle Physics
The Dark Matter Science Project provides scientific data analysis looking for dark matter to store data and implement workflows in a FAIR way. Such analysis uses data recorded from the complementary experiments at the ESCAPE partners, all seeking to understand the nature of the matter that makes up the majority of our universe (dark matter). Within the Dark Matter Test Science Project, these new dark matter searches use ESCAPE services within EOSC-Future to see their experimental data, simulations and software procedures developed within sustainable analysis pipelines and converge into a bigger picture, to constrain or discover dark matter.
During the analysis design, innovative algorithms have been identified (e.g., machine learning, but also procedures to reconstruct images to distinguish signal and background) that can be individually highlighted and shared for use by other scientific communities and / or in society. This project has been funded through EOSC-Future, GA ID 101017536
Description of the project:
- Proceedings of Science and Journal of Research Ideas and Outcomes (Arpha Preprints).
- Presentation from the ESCAPE final conference
- Video recordings from the ESCAPE final conference
- EOSC-Future webinar at the conclusion of the project
Besides the interpretation of results in terms of dark matter theories, synergies also exist between different communities and experiments in the tools needed to produce those results, in particular in terms of data management, data analysis and computing. This is one of the keystones of the Test Dark Matter Science Project within the European Science Cluster of Astronomy and Particle physics ESFRI research infrastructures (ESCAPE) project.
There is a unique link between Dark Matter as a fundamental science question and the Open Science services needed to answer it. Developing this link benefits the scientific community as a whole as it allows to compare and contrast both methodologies and their results across particle physics and astronomy from a different and broader perspective. We hope that this project can serve as a stepping stone for other analyses to join and build common virtual research environment within the EOSC.