CRITICAL NOISE TREATMENT ALGORITHM
Context
- 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.
About
- This algorithm, called the critical noise treatment 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.
- With this purpose, a group of astronomers at Indian Institute of Astrophysics, Bangalore 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.
Exoplanets
- Exoplanets are planets that orbit a star other than our sun.
- The prefix exo comes from the Greek and means outside; these worlds are far, far outside our own solar system.
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