3 papers
astro-ph.SR2024
Colour-Based Disentangling of Mira Variables and Ultra-Cool Dwarfs
Aleksandra Avdeeva, Kefeng Tan, Santosh Joshi +4
Despite having different astronomical characteristics, the studies of mira variables and ultra-cool dwarfs frequently show similar red colors, which could cause leading to photomet…
astro-ph.SR2023
Quality flags for GSP-Phot Gaia DR3 astrophysical parameters with machine learning: Effective temperatures case study
Aleksandra S. Avdeeva, Dana A. Kovaleva, Oleg Yu. Malkov +1
Gaia Data Release 3 (DR3) provides extensive information on the astrophysical properties of stars, such as effective temperature, surface gravity, metallicity, and luminosity, for…
astro-ph.SR2023
Machine learning methods for the search for L&T brown dwarfs in the data of modern sky surveys
Aleksandra Avdeeva
According to various estimates, brown dwarfs (BD) should account for up to 25 percent of all objects in the Galaxy. However, few of them are discovered and well-studied, both indiv…