Tetiana Trunova
Papers
2
Total Citations
51
H-Index
2
About
Tetiana Trunova is a leading researcher in astronomical software engineering and robotic telescope navigation, whose work has significantly advanced the precision and automation of sky surveys. Her primary research areas include mathematical methods for telescope positioning, automated photometric data reduction, and variable star detection. Trunova’s most impactful contribution is the development of novel mathematical algorithms that enable robotic telescopes to achieve highly accurate celestial navigation—a critical capability for reliable astronomical discovery. Her 2023 paper on these methods has already garnered 27 citations, underscoring its importance to the field. She is also a key architect of the CoLiTecVS software, a powerful tool within the CoLiTec project that automates the creation of light curves from CCD-frame observations. This software, detailed in her 2022 paper (24 citations), streamlines the identification and analysis of variable stars, making high-quality photometric reduction accessible to observatories worldwide. Trunova’s work directly enhances the efficiency and accuracy of modern robotic observatories, enabling deeper and more reliable exploration of the night sky.
Research Focus
Key Achievements
Top Papers
- 1Mathematical Methods for an Accurate Navigation of the Robotic Telescopes27 citations · 2023
- 2