After coming from the exoplanet to the Earth, it is difficult to understand them clearly and accurately due to the interference of other signals in space. But a team of scientists from the Indian Institute of Astrophysics (IIA) has developed an algorithm that will increase the accuracy of the data of extraterrestrials.
The Critical Noise Treatment Algorithm works to reduce the transition of signals from distant space to the data, which increases the accuracy of the data. This transition in signals is due to disruptions in the Earth’s atmosphere, instrument effects, and other factors. With this, the atmosphere of the extraterrestrials can be studied more accurately.
The study, led by Professor Suzanne Sengupta of IIA, has recently been published for peer review in the Astronomical Journal of the American Astronomical Society. Outer planets are special planets present outside our solar system. NASA’s Transiting Exoplanet Survey Satellite (TESS) is specially designed to search for such extraterrestrials.
Use of transit method
Observatories such as TESS use the transit method to indirectly detect the presence of extraterrestrials orbiting their star. For this, photometry is used, which measures the intensity of light based on the brightness perceived by the human eye.
Accuracy of signals
India’s Union Ministry of Science and Technology said that if the characteristics of extraterrestrials can be understood very accurately, astronomers will find it easier to find habitable extraterrestrial planets like Earth. With this goal in mind, the astronomers of IIA were using data from Tess and the Earth’s Optical Telescope in India in their research.
The researchers used the Himalayan Chandra Telescope of the Indian Astronomical Observatory in Hanle, Ladakh, the Jagadish Chandra Bhattacharya Telescope of the Venu Bapu Observatory in Kavalur, Tamil Nadu, to capture the signals of extraterrestrials and photometric data of many planets thanks to the photometric trident method.
How does this method work
In the photometric trident method, the changes in the light coming from the stars are studied. This happens when a planet orbiting its star comes between Earth’s telescope and the star, causing the brightness of the light coming from that star to fade. Changes at regular intervals make it clear that a planet is coming in the middle while circling the star.
Photometric transit observations give information about the size of the planet and its orbital period. Interference signals from multiple sources disturb these change signals, making it a difficult task to obtain accurate information about extraterrestrials. The Critical Noise Algorithm can rectify these transit signals taken from telescopes installed on Earth or in space, giving their data much higher accuracy than before.
The researchers demonstrated the effectiveness of their algorithm, and with its help, they analyzed the extraterrestrial KELT-7 band and other data. Apart from this, he also studied the signals of WASP-43b from the Jagadish Chandra Bhattacharya Telescope and HAT-P-54b from the Himalayan Chandra Telescope.