PREDNASAJUCI / LECTURER :

Ľubomír Hambálek

(1) Astronomical Institute, Slovak Academy of Sciences,
059 60 Tatranská Lomnica

NAZOV / TITLE :

The useability of neural network and machine learning in lightcurve solution

ABSTRAKT / ABSTRACT :

At the advent of machine learning (ML) methods, we tried to apply the technique
to the light curves of close binary stars observed by the TESS satellite.
There are different approaches currently tried out in the community, we opted
for retrieval of some physical parameters based on the shape of the light
curve. In our subsequent analysis, we tried to train the neural network and
investigate if it is better in terms of results and time spent. We used
previous test cases of real stars to compare the individual methods.