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Massachusetts Institute of Technology

Resolving the Mysteries of Highly Irradiated Planets: Observations and Simulations

Abstract

dc:description.abstract

Modern exoplanet science has an observational bias towards short-period planets. Among other things, these planets tend to be highly irradiated, either thermally resulting in high equilibrium temperatures and/or through high energy FUV/Xray radiation. The resulting planets exhibit a diverse array of physical characteristics unlike those seen on Earth. I present a collection of works broadly encompassed by the theme of understanding highly irradiated planets and a set of new techniques I develop to further analysis of these strange worlds. First I discuss observations of Upsilon Andromedae b, a non-transiting planet I have observed the atmosphere of for the first time, and Venus, Earth’s twin sister that turned out so different. Each of these observations is enabled by a new method I introduce for that class of analyses. I then present my work on radiation-hydrodynamics simulations of atmospheres subject to intense high energy radiation, for which I have developed a new simulation code with a unique purpose.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Physics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mehrle, Nicholas
Advisor dc:contributor.advisor
  • Seager, Sara

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/152557
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/152557

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
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related terms
citation

Mehrle, Nicholas. Resolving the Mysteries of Highly Irradiated Planets: Observations and Simulations. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/152557