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CORDIS - EU research results
CORDIS

Multifrequency and Machine Learning methods to Search for Early Super Massive Black Holes

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (opens in new window)

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Communication, Dissemination & Outreach Plan (opens in new window)

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Publications

Yet Another Sunshine Mystery: Unexpected Asymmetry in GeV Emission from the Solar Disk (opens in new window)

Author(s): Bruno Arsioli, Elena Orlando
Published in: The Astrophysical Journal, Issue 962, 2024, ISSN 0004-637X
Publisher: American Astronomical Society
DOI: 10.3847/1538-4357/ad1bd2

Mapping the Cosmic Gamma-ray Horizon: The 1CGH Catalogue of Fermi-LAT detections above 10 GeV (opens in new window)

Author(s): Bruno Arsioli, Yu-Ling Chang, Luca Ighina
Published in: Monthly Notices of the Royal Astronomical Society, Issue tbd, 2025, ISSN 1365-2966
Publisher: Oxford University Press (OUP)
DOI: 10.48550/arXiv.2411.18431

High-z radio Quasars in RACS I: selection, identification, and multi-wavelength properties (opens in new window)

Author(s): L. Ighina, A. Caccianiga, A. Moretti, B. Arsioli et al.
Published in: Astronomy and Astrophysics (A&A), Issue tbd, 2025, ISSN 1432-0746
Publisher: EDP Sciences
DOI: 10.48550/ARXIV.2504.10573

Exploring Machine Learning to Estimate Quasar Properties (opens in new window)

Author(s): Alexies Cogneau, Bruno Arsioli
Published in: Second year internship report, University of Strasbourg, 2025
Publisher: ResearchGate
DOI: 10.13140/RG.2.2.13251.72483

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