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Found 3 papers, 0 papers with code
Study of star clusters in the M83 galaxy with a convolutional neural network
We present a study of evolutionary and structural parameters of star cluster candidates in the spiral galaxy M83.
Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification
The CNN was tested on mock images of artificial clusters and has demonstrated reliable inference results for clusters of ages $\lesssim$100 Myr, extinctions $A_V$ between 0 and 3 mag, masses between $3\times10^3$ and $3\times10^5$ ${\rm M_\odot}$, and sizes between 0. 04 and 0. 4 arcsec at the distance of the M83 galaxy.
Deriving star cluster parameters with convolutional neural networks. I. Age, mass, and size
A CNN was constructed based on the deep residual network (ResNet) architecture and trained on simulated images of star clusters with various ages, masses, and sizes.
