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The Gaia-ESO survey : Matching chemodynamical simulations to observations of the Milky Way

Thompson, B. B.; Few, C. G.; Bergemann, M.; Gibson, B. K.; MacFarlane, B. A.; Serenelli, A.; Gilmore, G.; Randich, S.; Vallenari, A. and Alfaro, E. J., et al. (2018) In Monthly Notices of the Royal Astronomical Society 473(1). p.185-197
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 MilkyWay-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 the observational uncertainties must be accounted for in the comparison. This... (More)

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 MilkyWay-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 the 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.

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subject
keywords
Galaxies: evolution, Galaxies: formation, Galaxy: abundances, Methods: numerical
in
Monthly Notices of the Royal Astronomical Society
volume
473
issue
1
pages
13 pages
publisher
Oxford University Press (OUP)
external identifiers
  • scopus:85039995776
ISSN
0035-8711
DOI
10.1093/MNRAS/STX2316
language
English
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yes
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40760314-7e30-4f54-820b-899178d74e6f
date added to LUP
2019-05-31 12:41:25
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2019-10-15 07:07:09
@article{40760314-7e30-4f54-820b-899178d74e6f,
  abstract     = {<p>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 MilkyWay-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 the 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.</p>},
  author       = {Thompson, B. B. and Few, C. G. and Bergemann, M. and Gibson, B. K. and MacFarlane, B. A. and Serenelli, A. and Gilmore, G. and Randich, S. and Vallenari, A. and Alfaro, E. J. and Bensby, T. and Francois, P. and Korn, A. J. and Bayo, A. and Carraro, G. and Casey, A. R. and Costado, M. T. and Donati, P. and Franciosini, E. and Frasca, A. and Hourihane, A. and Jofrè, P. and Hill, V. and Heiter, U. and Koposov, S. E. and Lanzafame, A. and Lardo, C. and de Laverny, P. and Lewis, J. and Magrini, L. and Marconi, G. and Masseron, T. and Monaco, L. and Morbidelli, L. and Pancino, E. and Prisinzano, L. and Recio-Blanco, A. and Sacco, G. and Sousa, S. G. and Tautvaišiene, G. and Worley, C. C. and Zaggia, S.},
  issn         = {0035-8711},
  keyword      = {Galaxies: evolution,Galaxies: formation,Galaxy: abundances,Methods: numerical},
  language     = {eng},
  month        = {01},
  number       = {1},
  pages        = {185--197},
  publisher    = {Oxford University Press (OUP)},
  series       = {Monthly Notices of the Royal Astronomical Society},
  title        = {The Gaia-ESO survey : Matching chemodynamical simulations to observations of the Milky Way},
  url          = {http://dx.doi.org/10.1093/MNRAS/STX2316},
  volume       = {473},
  year         = {2018},
}