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iDark

The intelligent Dark Matter survey

Astronomical observations have established that more than 80% of all matter in the Universe is made up of Dark Matter (DM). The determination of the nature of Dark Matter is one of the most important tasks of Physics and Astronomy; it will most likely be the result of a combination of all worldwide available experimental data.

Main objective

Combining the worldwide data within the most general models of Dark Matter is the main objective of this project. This will test the models, determine the allowed parameter space for Dark Matter and help focus the effort for experimental searches. Finding viable solutions and exploring in a statistically convergent manner huge DM-model parameter spaces is the challenge, which this project team will approach with advanced eScience methods. Technical solutions to these questions have also multiple applications in society.

Promising ways to pinpoint Dark Matter

The project team will explore, compare and design algorithms to find (tiny, fragmented) solution areas in large multidimensional parameter spaces. Furthermore, we will explore methods to accelerate the computing machinery for DM searches. Finally we plan to investigate the possibility to make a (web-accessible) largely automated “DM model” database. With the help of such eScience machinery we will establish one of the most promising ways to pinpoint DM in the next years.

The SPOT repository is: https://github.com/NLeSC/spot

Participating organisations

Netherlands eScience Center
NIKHEF

Output

Team

Contact person

Rena Bakhshi

Rena Bakhshi

eScience Coordinator
Netherlands eScience Center
Mail Rena
Faruk Diblen
Faruk Diblen
eScience Research Engineer
Netherlands eScience Center
Jisk Attema
Jisk Attema
Senior eScience Research Engineer
Netherlands eScience Center
Rena Bakhshi
Rena Bakhshi
eScience Coordinator
Netherlands eScience Center
SC
Sascha Caron
Principal investigator
National Institute for Subatomic Physics

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Related tools

SPOT

SP

SPOT is an interactive visualization tool for multi-dimensional data. It allows quick analysis of complex datasets and easy identification of correlations between variables.

Updated 5 months ago
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