Jason Wang (UC Berkeley)

The Gemini Planet Imager Exoplanet Survey, Automated // The GPI Exoplanet Survey (GPIES) is a multi-year 600 star survey to discover and characterize young Jovian exoplanets and their planet forming environments. I will describe the GPI Data Cruncher, an automated and real-time data processing framework that combines multiple data reduction pipelines to process all spectroscopic, polarimetric, and calibration data. The Data Cruncher is able to generate fully-reduced data minutes after the data is taken and can also reprocess the entire campaign in a single day on a supercomputer. The Data Cruncher integrates into a larger automated data processing infrastructure which automatically syncs all data to the cloud, logs all data to a database, and provides a user-friendly web interface to access the data. I will discuss the benefits the GPIES data infrastructure, including using it to find planets, characterize instrument performance, and constrain giant planet occurrence. Lastly, I will discuss new algorithmic developments to automatically search for planets.