Indian astronomers have developed an algorithm that can increase the accuracy of data from exoplanets by reducing the contamination by the Earth’s atmosphere and the disturbances due to instrumental effects and other factors called the ‘critical noise treatment algorithm’.
A group of astronomers has been using the ground-based optical telescopes available in India and the data obtained by the space telescope 'Transiting Exoplanet Survey Satellite' or TESS.
Following the photometric transit method, they have acquired photometric data from several planet hosting stars. However, the transit signals are heavily affected by the noise due to various sources that pose a challenge to estimate the physical parameters of the planets accurately.
The developed algorithm can treat the transit signals detected by both ground and space based telescopes with much better precision than ever before. This algorithm can help to study the environment of exoplanets with better precision.
The understanding of physical properties of exoplanets with extreme accuracy can help to explore the ones that could be similar to planet Earth and hence might be habitable.
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