Interactive tutorial book composed of Jupyter Notebooks for Kepler/K2 data analysis

[gully]

Description

Jupyter Notebooks offer an easy-to-use entry point for newcomers to astronomical data analysis. Explanatory material, research code, and graphical output are contained in a single version-controllable web-based document. In this project, the researcher would author tutorials on a wide variety of research codes related to Kepler/K2 data analysis. The author would develop skills in data aggregation with pandas, visualization with Bokeh, and model fitting with numpy/scipy. Scientific applications include planetary transit modeling, stellar variability quantification, image processing, and more.

Benefits

• Accelerates adoption of existing tools and infrastructure
• Helps students and newcomers use and understand Kepler/K2 data analysis

Costs

• High-quality tutorials require time-intensive and iterative editing and authoring original descriptive prose, references, and links.