Astronomers from the Indian Astrophysics Institute (IIA) have developed algorithms that can increase the accuracy of data from exoplanets by reducing contamination with the atmosphere and earth disorders due to instrumental effects and other factors.
Called “critical noise care algorithm”, astronomers from iia, an autonomy institute of the Department of Science and Technology, said it could help study the exoplanet environment with a better precision.
Understanding of exoplanet physical nature with extreme accuracy can help explore similar to planet Earth and therefore it can be inhabited, they say, adding that by remembering this, the team has used land-based optical telescopes available in India and the data obtained by Space Telescope “transiting Exoplanet Satellite Survey “or Tess.
Prof.
Sengan Sengupta from IIA and his SHD Aritra Chakrabarty and Suman Saha have used the Himalaya Chandra Telescope at the Indian Astronomy Observatory, Hanle and Telescope Chandra Bhattacharyya Jagadish at the Vainu Bappu Observatory, cavalur to get an exoplanet signal.
While they have obtained photometric data from several star hosting planets that follow the transit method of photometric, astronomers show that transit signals are greatly influenced by noise because various sources that cause challenges to estimate the physical parameters of the planets accurately.
Therefore, the team led by Sengupta has developed this new algorithm that can treat transit signals detected by ground-based telescopes and spaces with precision which is far better than before.
Recently, Sengupta shows the effectiveness of algorithms by analyzing data on telescope space tests, reducing instrumental noise and disorders arising from the variability and hosted star pulse and estimating the physical parameters of several exoplanets accurately.
This work has been published in the journal Astronomy, the scientific journal reviewed by peer by the American Astronomical Society (AAS).