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Published on 17 November 2023
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Yang,T. (2023). Transit and radial velocity method for exoplanet detection. Theoretical and Natural Science,10,137-142.
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Transit and radial velocity method for exoplanet detection

Tianlin Yang *,1,
  • 1 RDFZ Chaoyang Experimental School

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/10/20230329

Abstract

This article introduces some basic methods that human usually uses nowadays to detect exoplanets, including transits method, radial velocity method, direct imaging method, gravitational microlensing method, and astrometry method. As we all know, none of these methods are perfect, each of them has its advantages: some of them are good at detecting planets with great mass, some are good at detecting planets with great radius, and some of the methods are good at detecting planets far away from their host star. But at the same time, each method has its own disadvantages. That is the reason why sometimes some of these methods are used together to get information about specific exoplanets. This chapter will introduce these methods by giving information on how these methods work, the equipment each of them requires, the advantages and limitations of these methods, and the history and development of these methods. Finally, there is a conclusion that states the characteristics of the planets each method is good at detecting.

Keywords

transit, radial velocity, gravitational microlensing, astrometry, exoplanet detection, history

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Cite this article

Yang,T. (2023). Transit and radial velocity method for exoplanet detection. Theoretical and Natural Science,10,137-142.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation

Conference website: https://www.confmpcs.org/
ISBN:978-1-83558-131-5(Print) / 978-1-83558-132-2(Online)
Conference date: 12 August 2023
Editor:Roman Bauer
Series: Theoretical and Natural Science
Volume number: Vol.10
ISSN:2753-8818(Print) / 2753-8826(Online)

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