Characteristics of extrasolar planetary atmospheres, including non-equilbrium chemistry and atmospheric circulation patterns; searches for long-period companions in exoplanetary systems; precision infrared photometry and time series analysis.
For more information on my research please see my personal website.
Ge/Ay 117. Bayesian Statistics and Data Analysis.9 units (3-0-6); second term, 2020-21.Prerequisites: CS1 or equivalent.
In modern fields of planetary science and astronomy, vast quantities of data are often available to researchers. The challenge is converting this information into meaningful knowledge about the universe. The primary focus of this course is the development of a broad and general tool set that can be applied to the student's own research. We will use case studies from the astrophysical and planetary science literature as our guide as we learn about common pitfalls, explore strategies for data analysis, understand how to select the best model for the task at hand, and learn the importance of properly quantifying and reporting the level of confidence in one's conclusions.
Instructor: Knutson
Ge/ESE 150. Planetary Atmospheres.9 units (3-0-6); third term, 2020-21.Prerequisites: Ch 1, Ma 2, Ph 2, or equivalents.
Origin of planetary atmospheres, escape, and chemical evolution. Tenuous atmospheres: the moon, Mercury, and outer solar system satellites. Comets. Vapor-pressure atmospheres: Triton, Io, and Mars. Spectrum of dynamical regimes on Mars, Earth, Venus, Titan, and the gas giant planets.
Instructor: Knutson
Ge/Ay 117. Bayesian Statistics and Data Analysis.9 units (3-0-6); second term, 2019-20.Prerequisites: CS 1 or equivalent.
In modern fields of planetary science and astronomy, vast quantities of data are often available to researchers. The challenge is converting this information into meaningful knowledge about the universe. The primary focus of this course is the development of a broad and general tool set that can be applied to the student's own research. We will use case studies from the astrophysical and planetary science literature as our guide as we learn about common pitfalls, explore strategies for data analysis, understand how to select the best model for the task at hand, and learn the importance of properly quantifying and reporting the level of confidence in one's conclusions.
Instructor: Knutson
