Capturing the Physics of MaNGA Galaxies with Self-supervised Machine Learning
As available data sets grow in size and complexity, advanced visualization tools enabling their exploration and analysis become more important. In modern astronomy, integral field spectroscopic galaxy surveys are a clear example of increasing high dimensionality and complex data sets, which challenges the traditional methods used to extract the
Sarmiento, Regina et al.
Fecha de publicación:
11
2021