Dark matter

ESCAPE - 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:

The Dark Matter Science Project reflects the scientific interest of many of the Research Infrastructures (RIs) in ESCAPE, with experiments that are searching for dark matter (DM). There is a clear complementarity between these experiments under a variety of dark matter hypotheses. Connecting results and potential discoveries from different experiments requires the engagement of all scientific communities involved - astrophysics, particle physics and nuclear physics - as already recommended within the update of the European Strategy of Particle Physics.
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.

This project has allowed a number of dark matter analyses to be fully FAIR and reproducible.
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.

The Open Science added value for this Test Science Project is that all the digital objects within these new DM analyses have been implemented within the ESCAPE services infrastructure (Data Lake, Software Catalogue, Analysis Platform). We have been making use of the ESCAPE Data Infrastructure for Open Science in the EOSC to store, distribute and provide data and software access to the broad dark matter scientific community.