Beyond the Horizon: GPU-accelerated plasma simulations and machine-learning analysis of accretion flows

Description of the granted funding

Black holes are bright sources of X-rays. The detected radiation originates from hot gas slowly spiraling into the black hole. However, we do not know what plasma energization mechanism heats the plasma to such a high temperature. In this project, we will use novel radiative plasma simulations to model this process. We will then validate these artificial simulation outputs against real X-ray observations using machine-learning-accelerated data analysis tools. The results help us better understand how matter behaves in extreme conditions close to black hole event horizons.
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Starting year

2026

End year

2028

Granted funding

Jussi Enkovaara Orcid -palvelun logo
168 565 €



Role in consortium of the Academy of Finland

Partner

Other consortium parties

Leader
University of Helsinki (372879)
196 016 €
Partner
University of Turku (372881)
163 783 €

Funder

Research Council of Finland

Funding instrument

Targeted Academy projects

Decision maker

Suomen akatemian muu päättäjä
16.12.2025

Other information

Funding decision number

372880

Fields of science

Astronomy and space science

Research fields

Tähtitiede

Identified topics

space, physics