The Gaia-ESO Survey : matching chemo-dynamical simulations to observations of the Milky Way

Thompson, Benjamin B.; Few, C. Gareth (Christopher Gareth); Bergemann, Maria; Gibson, Brad K.; MacFarlane, Ben A.; Serenelli, Aldo; Gilmore, Gerry, 1951-; Randich, Sofia; Vallenari, Antonella; Alfaro, E. J.; Bensby, Thomas; François, Patrick (Astronomer); Korn, Andreas J.; Bayo, Amelia; Carraro, Giovanni; Casey, Andrew R.; Costado, Mayte; Donati, Paulo (Astronomer); Franciosini, E.; Frasca, Antonio; Hourihane, Anna; Jofré, Paula; Hill, Vanessa, 1970-; Heiter, Ulrike; Koposov, Sergey E.; Lanzafame, Alessandro; Lardo, Carmela; Laverny, Patrick de; Lewis, James R. (Astronomer); Magrini, Laura; Marconi, Gianni; Masseron, Thomas, 1978-; Monaco, Lorenzo (Astronomer); Morbidelli, Luca; Pancino, Elena; Prisinzano, Loredana; Recio-Blanco, Alejandra; Sacco, Germano; Sousa, Sergio A. G.; Tautvaiŝiene, Gražina; Worley, Clare C.; Zaggia, Simone, 1965-

EA Milne Centre for Astrophysics
Galaxies--evolution; Galaxies--formation; Methods--numerical; Galaxy--abundances
2018

Journal article


Rights
© 2017 The Authors
Abstract

The typical methodology for comparing simulated galaxies with observational surveys is usually to apply a spatial selection to the simulation to mimic the region of interest covered by a comparable observational survey sample. In this work we compare this approach with a more sophisticated post-processing in which the observational uncertainties and selection effects (photometric, surface gravity and effective temperature) are taken into account. We compare a ‘solar neighbourhood analogue’ region in a model Milky Way-like galaxy simulated with RAMSES-CH with fourth release Gaia-ESO survey data. We find that a simple spatial cut alone is insufficient and that observational uncertainties must be accounted for in the comparison. This is particularly true when the scale of uncertainty is large compared to the dynamic range of the data, e.g. in our comparison, the [Mg/Fe] distribution is affected much more than the more accurately determined [Fe/H] distribution. Despite clear differences in the underlying distributions of elemental abundances between simulation and observation, incorporating scatter to our simulation results to mimic observational uncertainty produces reasonable agreement. The quite complete nature of the Gaia-ESO survey means that the selection function has minimal impact on the distribution of observed age and metal abundances but this would become increasingly more important for surveys with narrower selection functions.

Publisher
The University of Hull
Peer reviewed
Yes
Language
English
Extent
1 MB
Identifier
hull:15471

Journal

Journal title
Monthly notices of the Royal Astronomical Society
Publication date
2018
Publisher
Oxford University Press on behalf of the Royal Astronomical Society
DOI
10.1093/mnras/stx2316
ISSN (Print)
0035-8711
ISSN (Electronic)
1365-2966
Volume
473
Issue
1
Start page
185
End page
197
Notes

This article has been accepted for publication in Monthly notices of the Royal Astronomical Society ©: 2017 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

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