The Dark Matter Data Center (DMDC) is an ORIGINS Excellence Cluster initiative, supported by the Max Planck Computation and Data Facility. It aims at bringing together the large amount of recorded data and theories pertaining to Dark Matter (DM) research in a unified platform, making it easily accessible for the community. The DMDC offers a repository where data, methods and code are clearly presented in a unified interface for comparison, reproduction, combination and analysis. It is a forum where Experimental Collaborations can directly publish their data and Phenomenologists the implementation of their models, in accordance to Open Science principles. Alongside the repositories, it also offers easy online visualization of the hosted data. It offers an online simulation of signal predictions for experiments using model data supplied by the users, all in a friendly web-based GUI. The DMDC also hosts guidance tools from the Collaborations illustrating the usage and analysis of their data through Binders that run online and support all popular programming platforms. It hosts a continuously growing compendium of ready-to-use, copy-pastable code examples for inference and simulations. It can also provide support and computational power for comparison of model and experimental observations as well as the combination of these results using modern and robust statistical tools through similar Binders.

Banerjee, H., Ferreiro Iachellini, N. (2022). Dark Matter Data Center: Fostering Data and Information Sharing Within the Dark Matter Community. In 41st International Conference on High Energy Physics, ICHEP 2022. Sissa Medialab Srl [10.22323/1.414.0305].

Dark Matter Data Center: Fostering Data and Information Sharing Within the Dark Matter Community

Ferreiro Iachellini N.
2022

Abstract

The Dark Matter Data Center (DMDC) is an ORIGINS Excellence Cluster initiative, supported by the Max Planck Computation and Data Facility. It aims at bringing together the large amount of recorded data and theories pertaining to Dark Matter (DM) research in a unified platform, making it easily accessible for the community. The DMDC offers a repository where data, methods and code are clearly presented in a unified interface for comparison, reproduction, combination and analysis. It is a forum where Experimental Collaborations can directly publish their data and Phenomenologists the implementation of their models, in accordance to Open Science principles. Alongside the repositories, it also offers easy online visualization of the hosted data. It offers an online simulation of signal predictions for experiments using model data supplied by the users, all in a friendly web-based GUI. The DMDC also hosts guidance tools from the Collaborations illustrating the usage and analysis of their data through Binders that run online and support all popular programming platforms. It hosts a continuously growing compendium of ready-to-use, copy-pastable code examples for inference and simulations. It can also provide support and computational power for comparison of model and experimental observations as well as the combination of these results using modern and robust statistical tools through similar Binders.
poster
dark matter, public data
English
41st International Conference on High Energy Physics, ICHEP 2022 - 6 July 2022 - 13 July 2022
2022
41st International Conference on High Energy Physics, ICHEP 2022
2022
414
305
open
Banerjee, H., Ferreiro Iachellini, N. (2022). Dark Matter Data Center: Fostering Data and Information Sharing Within the Dark Matter Community. In 41st International Conference on High Energy Physics, ICHEP 2022. Sissa Medialab Srl [10.22323/1.414.0305].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/628783
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