Project description
Improved simulations for stargazing
Our interest in astronomy dates back to ancient times. Boosted with developments and improvements as well as the use of more advanced equipment and in-depth knowledge of the sciences, astronomy remains popular to this day. Today, astronomical research greatly depends on simulations. Unfortunately, there is no way to practically measure the realism factor in simulation, and numerical simulations tend to be too slow and expensive for prototyping new techniques or improving statistical significance. The EU-funded RISING project will address these issues by developing a framework comprising machine learning tools for a number of uses, which will find instantaneous application on dynamic simulations of star clusters and hydrodynamical simulations of their parent clouds.
Fields of science
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
Coordinator
35122 Padova
Italy
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Partners (1)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
H3C3J7 Montreal
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