Cosmology is the study of the development, origin, structure, and fate of the universe. The field is at an exciting time in its history with instruments soon coming online that will provide data with unprecedented precision. Like most sciences, Cosmology is multi-faceted. This Program will provide introductions to many of the topics necessary to being successful in the field of Cosmology but can be applied to most STEM fields, including important topics in physics, Python coding, and statistical inference. This course is not robust nor complete, but rather provides a high-level understanding of the relevant processes in the history of the universe and their connections without significant math overhead.
This site will be used to augment your studies about the cosmos. In this site, we will learn some of the basics of cosmology through coding with Python and interactive modules. To begin, you need not know more than some Algebra and Geometry: we'll go over the rest later.
Before beginning, go to the Getting Started page to set up you Google account and learn about some of the structure of the course. The units will then go in numerical order, starting at Unit 0 and ending at Unit 6, and can be found under the Course Pages heading in the toolbar at the top of your screen.
About the Author
Hello and welcome to my Cosmology Quick-Start Program. I'm Paul Rogozenski, a doctoral candidate at the University of Arizona studying cosmology using large-scale structure surveys. I'm particularly interested in massive neutrinos, how they affect the formation of structure in the universe, and developing techniques to better constrain their properties. As a member of the Dark Energy Survey and the Dark Energy Science Collaboration, I also work on the infrastructure used to calculate cosmological parameters, investigate the impact of systematic model uncertainties in the data, and assess consistency between datasets.
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This work was funded by the UArizona Space Grant Fellowship.