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Enabling the discovery of Earth's temporary satellite with t...
created · Updated
Deadline: Jul 31, 2023
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Summary

Earth's minimoons are a transient population of asteroids which occasionally become gravitationally bound to the Earth for a limited period of time. Their physical characterisation on a population level can lead to a thorough assessment of the population of smallest asteroids...

Description

Earth's minimoons are a transient population of asteroids which occasionally become gravitationally bound to the Earth for a limited period of time. Their physical characterisation on a population level can lead to a thorough assessment of the population of smallest asteroids, i.e. those with a diameter smaller than 20 metres. This little-studied population of asteroids is important, on the one hand, for resolving the fundamental asteroid-meteorite linking problem, with implication for the formation of the solar system, and on the other hand, are a constant source of local scale threat to Earth’s biosphere. Due to their easy accessibility by spacecraft and the large amount of time that they spend in the vicinity of the Earth, minimoons are good targets for asteroid in situ resource utilisation, or for space missions that could retrieve an entire asteroid to Earth for laboratory analysis. The primary aim of this project is to build a dedicated tool to extract the possible minimoon detections from the data stream of the upcoming Large Survey of Space in Time (LSST), which will be the only facility able to detect minimoons on a bimonthly basis. However, even for LSST, minimoons will be on the edge of its detection capabilities since the general solar system processing tools are designed for a general case of moving objects. Minimoons, due to their exceptionally rapid movement and narrow windows of detectability require special attention. Outputs will include a peer-reviewed article, and a software package to enable the discovery of minimoons on an order of magnitude greater scale than with the standard LSST processing tools. In line with Marie Sklodowska-Curie Action objectives, the project will enable transfer of knowledge and interdisciplinary skills of mutual benefit between the applicant and the host organisation, enhance the contact networks of both, and strengthen the future career opportunities of the applicant through establishing international collaborations.

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OPPORTUNITY EUROPEAN PROJECT: Data sharing to support the training and...

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Deadline: Apr 24, 2026
Partner Search for Horizon Europe Call HORIZON CL5- 2026-11-D3-23 on AI Driven Data Sharing for the Energy Sector A company specializing in big data management and analysis, with a growing interest in AI-based applications for monitoring and optimizing energy networks, is approaching these applications with a strong focus on benchmarking innovative solutions. The company has proprietary software and a vast amount of data; it is seeking partners to expand a Common European Energy Data Space into a solution that enables transnational data integration for training and testing as part of the system lifecycle. This solution must guarantee robust privacy and security measures to achieve a Technology Readiness Level (TRL) of 7-8, as requested in the call for proposals, while maintaining data privacy and security throughout established supply chains and during the lifecycle of the resulting application. We are also seeking other international users with large amounts of data to provide a valid basis for validating this approach.

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