Presentations, notebooks , etc.
May 2020 Update:
The Tutorial material (notebooks and data) is now in a Github Repo which you can clone or download.
All paths are relative in that folder to simplify things, run the notebooks on your local machine immediately
All notebooks are coded in Jupyter Python and require rather standard packages except for the starshade image analysis demo script (SS_Photometry_Tutorial.m) written in MatLab
A more detailed description on how to use this repo is available in the README.
From the tutorial event we held in New York City in October 16-17 2019
NY Flatiron event - Day 1 - Full recording
NY Flatiron event - Day 2 - Full recording
Orbital fitting with orbitize!
Presented by Junellie Gonzalez Quiles
New! HLC Quick-Look Photometry & Flux Ratio Calibration
Demo prepared by Neil Zimmerman (not included in the videos)
New! Starshade Photometry
Demo prepared by Sergi Hildebrandt (not included in the video)