VaTEST
A step towards the Detection of New Planets...
Exoplanets Confirmed by VaTEST Team
20
Sub-Earth : 00
Earth-like : 00
Super-Earth : 09
Sub-Neptune : 07
Neptune-like : 01
Sub-Saturn (Super-Neptune) : 03
Jupiter-like : 00
Gas Giants : 00
Validation of Transiting Exoplanets using Statistical Tools (VaTEST)
The VaTEST project was initiated at the beginning of May 2022 by Priyashkumar Mistry and Georgios Lekkas under the guidance of Dr. Kamlesh Pathak. This project's objective is to validate exoplanet signals by utilizing statistical tools and probabilistic algorithms in conjunction with other Python packages for the analysis of photometric and spectroscopic data. The work that will be done in the future on this project will be focused on the bulk validation of unconfirmed exoplanets. This will be accomplished through the use of a variety of statistical validation, false alarm and false positive diagnostic tests, as well as photometric and spectroscopic data analysis to calculate the exoplanet properties.
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Objectives
This research project is driven by three primary motivations:
Accessibility to RV data poses a significant challenge, with limited availability to observatories hindering the pursuit of planetary discoveries for many enthusiasts. The aim of this project is to address this constraint by using and developing validation tools that empower individuals to explore and identify planets without direct access to observatories.
While RV data traditionally allows for the detection of one or two planets on average, our project endeavors to expand these capabilities, enabling the discovery of multiple planets through innovative approaches.
Develop a comprehensive and homogenized sample of planetary data by standardizing analysis techniques. Recognizing the varied approaches, assumptions, analysis tools, and software packages employed by different groups in planetary discoveries, we aim to overcome disparities arising from the competitive and hurried nature of announcements. This objective ensures a more robust foundation for our research, particularly evident in the potential population study.