13 citations · 13 across the 2 of their papers we have counts for
3 papers
Deriving star cluster parameters with convolutional neural networks. I. Age, mass, and size
J. Bialopetravičius, D. Narbutis, V. Vansevičius
Context. Convolutional neural networks (CNNs) have been proven to perform fast classification and detection on natural images and have potential to infer astrophysical parameters o…
Deriving physical parameters of unresolved star clusters III. Application to M31 PHAT clusters
Philippe de Meulenaer, Donatas Narbutis, Tadas Mineikis +1
This study is the third of a series that investigates the degeneracy and stochasticity problems present in the determination of physical parameters such as age, mass, extinction, a…
Stochasticity effects on derivation of physical parameters of unresolved star clusters
Philippe de Meulenaer, Donatas Narbutis, Tadas Mineikis +1
We developed a method for a fast modeling of broad-band UBVRI integrated magnitudes of unresolved star clusters and used it to derive their physical parameters (age, mass, and exti…