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8th TESS Data for Asteroseismology workshop

The idea with the TESS Data for Asteroseismology (T'DA) workshop series is to prepare for an efficient facilitation of high quality data for asteroseismology from the future NASA TESS mission, and this to the whole of the TESS Asteroseismic Science Consortium (TASC).

TESS will observe close to the full sky within its 2 year nominal mission, with full frame images (FFIs) taken every ~30 minutes. This will result in a data rate unlike that of Kepler or CoRoT, and with new data arriving every ~27 days. The TASC Coordinated Activity (CA) "TESS Data for Asteroseismology" (T'DA) is tasked with delivering analysis ready light curves for all of TASC, hence encompassing many different types of stars, and for all targets observed, including those in FFIs. This calls for optimised pipelines in terms of the data rate, and light curve preparation that can deal with many different types of objects.

With the T'DA workshop series we want to bring together people from TASC with experience from, e.g., Kepler or CoRoT in order to test different approaches to the tasks at hand. The goal is to end out with a robust and optimised pipeline for TESS data preparation. 

The eighth workshop in the series, T'DA8: "End-to-end processing of science data", will take place at Aarhus University, DK, from 21-25 January 2019. The goal of the workshop is to have the full pipeline ready for an end-to-end processing of data from TESS Sectors 1+2. In addition, we will work on writing up the first-light papers that will accompany the first full data release. The workshop will be fully hand-on, and everyone will be expected to actively contribute to the pipeline

We will primarily work on real FFI data from TESS Sectors 1+2, but may also run tests on simulated data from previous T'DA workshops (see simulated data on the T'DA wiki).

You can also follow the workshop on twitter via #TDAWG0

If you have any questions to the workshop they may be directed to Mikkel N. Lund (mikkelnl(at)phys.au.dk) or other members of the LOC.

Mikkel N. Lund (Aarhus)
Rasmus Handberg (Aarhus)
Mai Korsbæk (Aarhus)