lksearch

Helpful package to search for TESS/Kepler/K2 data

lksearch is a community developed, open source Python package that offers a user-friendly approach to searching the Barbara A. Mikulski Archive for Space Telescopes (MAST) web portal for scientific data and mission products from NASA’s TESS, K2, and Kepler missions. This package aims to lower the barrier for students, astronomers, and citizen scientists interested in analyzing time-series data from these NASA missions. It does this by providing a set of streamlined classes with simplified inputs and outputs that wraps Astroquery’s MAST.Observations class with user-friendly post-processing of observation tables and convenient bundled download methods.

Changelog:

• The class structure has been modified. The base class is MASTSearch. Users are intended to use mission-specific classes (KeplerSearch/K2Search/TESSSearch) to obtain mission-specific results.

• Result tables are saved as pandas dataframs

• The TESScut search functionality now uses tesswcs to identify observed sectors

• Data products are now generalized (timeseries contains lightcurve products, cubedata contains target pixel files and TESSCut, and dvreports contains pdfs contining data validation reports)

• ‘download’ now defaults to the AWS cloud storage.

• ‘download’ only downloads files to disk. It no longer returns a lightkurve object.