[SME-S] Gaia Data Release 3 (B)

Gaia Data Release 3: Contents, Access, Science and a look ahead to future data releases.

Organiser(s):

Nicholas Walton (IoA, Cambridge), Giorgia Busso (IoA, Cambridge), Nigel Hambly (IfA, Edinburgh), Nick Rowell (IfA, Edinburgh), George Seabroke (MSSL, UCL), Mark Taylor (Bristol)

Session type:

Regular

Description:

The ESA Gaia mission is creating a 3-D map of over two billion stars in our Milky Way. Gaia Data Release 3 (https://www.cosmos.esa.int/web/gaia/data-release-3) was issued June 2022 with the next major fourth data release to follow in 2025. 

Our parallel session will provide an update on the status of the Gaia mission, an overview of the Gaia DR3 catalogue contents including scientific quality and practical information on how to handle and access them from the Gaia archive for science research. Information will also be given on the use of the Gaia:UK data mining platform that is currently being rolled out and will provide powerful capabilities in user access and manipulation of the bulk Gaia data. The session will also provide a longer term look ahead as to what to expect from the upcoming end 2023 Gaia Focused Product Release (FPR) and also the next major fourth Gaia data release not before the end of 2025. We will include a range of presentations covering the Gaia status, the Gaia DR3 contents, how to access the Gaia DR3 data through the ESA Gaia Archive and partner archives, use of VO tools such as TOPCAT to analyse the Gaia DR3 data, and a detailed discussion of the Gaia DR3 data, including caveats with the data, including those that have emerged since the June 2022 release. We will highlight the significant new range of data products in DR3 and also the novel approach using the GaiaXPy suite of tools to manipulate the Gaia spectrophotometric data. We will also provide space for the look ahead to the Gaia FPR. We will invite contributed presentations, particularly those addressing novel new ways in accessing and manipulating the Gaia DR3 data. Finally we will also include a number of specific science use case tutorials, with the opportunity for attendees to interact with the Gaia data via archive interactive / programmatic VO interfaces, and the new code-to-data science platform via web notebooks.

The session will be of interest to PhD and early-stage researchers.

Topic:

Our Galaxy