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Information-Entropy Analysis of Stellar Evolutionary Stages with Application to FS CMa Objects
Zeinulla Zhanabaev1, Aigerim Akniyazova1, Yeskendyr Ashimov1
1Faculty of Physics and Technology, Al-Farabi Kazakh National University, Al-Farabi Ave., 71, Almaty 050040, Kazakhstan.
Entropy (Basel, Switzerland)
|November 26, 2025
Summary
This study introduces information-entropy methods from statistical physics to classify stellar evolution stages. The approach successfully correlates theoretical predictions with observational data from stellar spectra, aiding in the analysis of complex celestial objects.
Area of Science:
- Astrophysics
- Statistical Physics
- Stellar Evolution
Background:
- Stellar evolutionary stages are complex to determine.
- Existing methods may not fully capture the nuances of stellar evolution.
Purpose of the Study:
- To present theoretical foundations for applying information-entropy methods to stellar evolution.
- To propose a novel balance equation for normalized conditional information and entropy.
- To validate the methodology using observational stellar spectral data.
Main Methods:
- Utilizing information-entropy methods from statistical physics.
- Defining conditional information as the difference between phase space entropy and conditional probability entropy.
- Analyzing stellar emission spectra and asymmetric spectral lines.
Main Results:
- A theoretical framework correlating information-entropy metrics with stellar evolutionary stages was established.
- The methodology demonstrated a correspondence between theoretical predictions and observational data.
- Application to FS CMa-type objects showed consistency in evolutionary status determination.
Conclusions:
- Information-entropy methods provide a robust framework for classifying stellar evolutionary stages.
- The proposed balance equation and conditional information metrics are effective for spectral analysis.
- This approach aids in understanding complex stellar objects and their evolutionary paths.
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