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.; Alfaro, E. J.; Bensby, T.; Francois, P.; Korn, A. J.; Bayo, A.; Carraro, G.; Casey, A. R.; Costado, M. T.; Donati, P.; Franciosini, E.; Frasca, A.; Hourihane, A.; Jofrè, P.; Hill, V.; Heiter, U.; Koposov, S. E.; Lanzafame, A.; Lardo, C.; de Laverny, P.; Lewis, J.; Magrini, L.; Marconi, G.; Masseron, T.; Monaco, L.; Morbidelli, L.; Pancino, E.; Prisinzano, L.; Recio-Blanco, A.; Sacco, G.; Sousa, S. G.; Tautvaišiene, G.; Worley, C. C.; Zaggia, S.

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

Mark

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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Please use this url to cite or link to this publication: https://lup.lub.lu.se/record/40760314-7e30-4f54-820b-899178d74e6f

author

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. (More)

Thompson, B. B. ; Few, C. G. ; Bergemann, M. ; Gibson, B. K. ; MacFarlane, B. A. ; Serenelli, A. ; Gilmore, G. ; Randich, S. ; Vallenari, A. ; Alfaro, E. J. ; Bensby, T. ^LU

; Francois, P. ; Korn, A. J. ; Bayo, A. ; Carraro, G. ; Casey, A. R. ; Costado, M. T. ; Donati, P. ; Franciosini, E. ; Frasca, A. ; Hourihane, A. ; Jofrè, P. ; Hill, V. ; Heiter, U. ; Koposov, S. E. ; Lanzafame, A. ; Lardo, C. ; de Laverny, P. ; Lewis, J. ; Magrini, L. ; Marconi, G. ; Masseron, T. ; Monaco, L. ; Morbidelli, L. ; Pancino, E. ; Prisinzano, L. ; Recio-Blanco, A. ; Sacco, G. ; Sousa, S. G. ; Tautvaišiene, G. ; Worley, C. C. and Zaggia, S. (Less)

organization

Lund Observatory - Has been reorganised

publishing date

2018-01-01

type

Contribution to journal

publication status

published

subject

Astronomy, Astrophysics and Cosmology

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

external identifiers

scopus:85039995776

ISSN

0035-8711

DOI

10.1093/MNRAS/STX2316

project

Gaia-ESO Survey

language

English

LU publication?

yes

id

40760314-7e30-4f54-820b-899178d74e6f

date added to LUP

2019-05-31 12:41:25

date last changed

2024-04-16 09:19:34

@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}},
  keywords     = {{Galaxies: evolution; Galaxies: formation; Galaxy: abundances; Methods: numerical}},
  language     = {{eng}},
  month        = {{01}},
  number       = {{1}},
  pages        = {{185--197}},
  publisher    = {{Oxford University Press}},
  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}},
  doi          = {{10.1093/MNRAS/STX2316}},
  volume       = {{473}},
  year         = {{2018}},
}

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