tokens: The authors thank Benoît Mosser (Paris), Lola Balaguer (Barcelona), Ralf-Dieter Scholz (Potsdam), and the careful referee for valuable comments on the manuscript. We also thank Eleonora Zari (Leiden) for testing a preliminary version of the database. During the preparation of the data for the StarHorse run, we have frequently used the Gaia archive at ESAC ( Salgado et al. 2017 ) as well as its mirrors at AIP and ARI. FA warmly thanks Alcione Mora and Juan González-Núñez (ESAC) for support with the Gaia archive in a critical moment. During the analysis, we have made extensive use of the astronomical java software TOPCAT and STILTS ( Taylor 2005 ), as well as the python packages numpy and scipy ( Oliphant 2007 ), astropy ( Astropy Collaboration 2013 ), dask ( Dask Development Team 2016 ), HoloViews , and matplotlib ( Hunter 2007 ). Figures 3 and B.1 through B.3 were created using the corner package ( Foreman-Mackey 2016 ). For Fig. 9 we used galpy.util.bovy_coords ( Bovy 2015 ) to transform the proper motions to the Galactic frame. This research has made use of the SVO Filter Profile Service ( http://svo2.cab.inta-csic.es/theory/fps/ ; Rodrigo et al. 2012 ; Rodrigo Solano 2013 ) supported from the Spanish MINECO through grant AYA2017-84089. This work has made use of data from the European Space Agency (ESA) mission Gaia ( http://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, http://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 800502 H2020-MSCA-IF-EF-2017. This work was partially supported by the MINECO (Spanish Ministry of Economy) through grant ESP2016-80079-C2-1-R (MINECO/FEDER, UE) and MDM-2014-0369 of ICCUB (Unidad de Excelencia María de Maeztu).
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