title: MODELING AND DETERMINING ORIGINS OF SIGNALS FOUND IN RADIAL VELOCITY DATA
creator: Kossakowska, Diana Elizabeth
description: Thanks to the current TESS space mission, the number of exoplanets with both precise radius and mass measurements is continually growing, providing more promising candidates for the next era in the exoplanet field of atmosphere characterization. A key ingredient is to understand all the signals that appear in the data, to ensure that we obtain the correct planetary parameters. I was involved in developing the juliet package, which allows for easy model comparison between models of combined transit and radial velocity datasets. The methodology is based on modern statistical concepts, such as Bayesian statistics, Nested Sampling, and Gaussian Processes, which are presently gaining popularity among the community. Within the CARMENES consortium, I was heavily engaged in demonstrating how to construct the appropriate models and also how to interpret the results. Hence, for this thesis, I present a guideline on how to build an intuition using this code, covering the small nuances and common misconceptions.     I employed juliet on a variety of planets/systems: TOI-150 b, one of the most eccentric transiting hot Jupiters known to date whose obliquity can be measured; TOI-163 b, another hot Jupiter with an inflated radius ideal for future atmospheric characterization in the JWST continuous viewing zone; TOI-1201 b, currently one of the most optimal transiting mini-Neptunes for atmospheric characterization to aid in determining the origins of these planets; and AD Leo, a case study of a highly-active star that continues to puzzle how stellar activity influences radial velocity measurements as it often masquerades as a planet.   These projects showcase the wide application of the code as well as the importance of implementing the correct methodology to contribute well-constrained planetary parameters.  To end the thesis, I discuss the need for a better understanding of how stellar activity affects radial velocities to better mitigate the effects, and as well I urge the community to take a standardized approach for modeling in order to avoid misleading interpretations.
date: 2021
type: Dissertation
type: info:eu-repo/semantics/doctoralThesis
type: NonPeerReviewed
format: application/pdf
identifier: https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/30431/7/THESIS_FINAL_sedruck.pdf
identifier: DOI:10.11588/heidok.00030431
identifier: urn:nbn:de:bsz:16-heidok-304316
identifier:   Kossakowska, Diana Elizabeth  (2021) MODELING AND DETERMINING ORIGINS OF SIGNALS FOUND IN RADIAL VELOCITY DATA.  [Dissertation]     
relation: https://archiv.ub.uni-heidelberg.de/volltextserver/30431/
rights: info:eu-repo/semantics/openAccess
rights: http://archiv.ub.uni-heidelberg.de/volltextserver/help/license_urhg.html
language: eng