New Algorithm Increases Accuracy of Data from Exoplanets
Recently, Indian astronomers from the Indian Institute of Astrophysics, Bangalore, have developed an algorithm that can increase the accuracy of data from exoplanets.
Context
- Photometric Transit Method: In their study of exoplanets, scientists use the photometric transit method in which they gather photometric data from several planet hosting stars.
- Noise: 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.
Data Sources
- In the current study, the astronomers used the Himalayan Chandra Telescope at Indian Astronomical Observatory, Hanle (Ladakh) and the Jagadish Chandra Bhattacharyya ....
Do You Want to Read More?
Subscribe Now
Take Annual Subscription and get the following Advantage
The annual members of the Civil Services Chronicle can read the monthly content of the magazine as well as the Chronicle magazine archives.
Readers can study all the material before the last six months of the Civil Services Chronicle monthly issue in the form of Chronicle magazine archives.
Related Content
- 1 White Dwarf System
- 2 Mpemba Effect
- 3 Wolf Supermoon
- 4 Voice over Wi-Fi (VoWiFi)
- 5 World-Class Environmental and Solar Metrology Facilities at CSIR-NPL
- 6 PARAM Shakti Supercomputer Commissioned at IIT Madras
- 7 IIT Madras Develops Ramjet-Powered Artillery Shells
- 8 India Ranks 8th Globally in WHO Pharmacovigilance Contributions
- 9 Dhruv-NG Helicopter
- 10 AI Tool ‘Disobind’ to Decode Elusive Protein Interactions
