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Gaia Halo Mock Catalogues

This is the home page for the Gaia Halo Mock catalogues from Mateu et al. 2017a  (M17a, MNRAS 2017.469..721M).

These catalogues simulate Gaia observable K giant and RR Lyrae stars for 10 Milky Way mass haloes in total, from two suites of cosmological simulations:  5 haloes from the Aquarius high resolution dark matter only simulations (Cooper et al. 2010, Lowing et al. 2015) and 5 haloes from the HYDRO-zoom medium resolution hydro-dynamical simulations (Font et al., in prep.), extracted from the EAGLE simulation (Schaye et al. 2015).

Gaia errors were simulated using the latest post-launch error prescriptions from de Bruijne, Rygl & Antoja (2014). Stellar streams are identified in these catalogues using the nGC3 methods, a great circle cell counts method from the mGC3 family introduced in Mateu et al. 2011 (MNRAS, 415, 214) and expanded in Abedi et al. (2014, MNRAS 442, 3627). For more details on the mGC3 family of methods see here or get the public Python repository PyMGC3 on GitHub.

For more details on how the mock catalogues were produced and Gaia errors simulated, please see Mateu et al. 2017a 


The Aquarius and HYDRO-zoom mock catalogues are served at the following public repositories:

  1.     Aquarius Mocks - Hosted at ICC - Durham University (here)

  2.     HYDRO-zoom Mocks - Hosted at LJMU (here)

For each Halo and tracer (KIII/RR Lyrae) you will find there:

  1. Full Halo Gaia mocks - containing all Gaia observable stars (G<20)

  2. Candidate stream mocks - containing only the stars associated to each of the stream candidates identified with the nGC3 method in M17


Cecilia Mateu (CIDA, IA-UNAM), Andrew Cooper (Durham University), Andreea Font (Liverpool John Moores University), Luis Aguilar (IA-UNAM), Carlos Frenk (Durham University), Shaun Cole (Durham University), Ian McCarthy (Liverpool John Moores University), Wenting Wang (Durham University)


Cecilia Mateu - cmateu at / cmateu.cida at

If you have used these catalogues in your research, please consider letting me know and acknowledge Mateu et al. 2017a .

Last update: 11/10/17