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

@inproceedings{Thompson2018TheGS,
  title={The Gaia-ESO survey: Matching chemodynamical simulations to observations of the Milky Way},
  author={Benjamin B. Thompson and Christopher Gareth Few and Maria Bergemann and Bradley Kenneth Gibson and B. A. Macfarlane and Aldo M. Serenelli and Gerry F. Gilmore and Sofia Randich and Antonella Vallenari and Emilio J. Alfaro and Thomas Bensby and Patrick J. François and Andreas J. Korn and Amelia Bayo and Giovanni Carraro and Andrew Casey and Mar'ia Teresa Costado and Paolo R. Donati and Elena Franciosini and Antonio Frasca and A. P. Hourihane and Paula Jofr'e and Vanessa Hill and Ulrike Heiter and Sergey E. Koposov and Alessandro C. Lanzafame and Carmela Lardo and Patrick de Laverny and James R. Lewis and Laura Magrini and Gianni Marconi and Thomas Masseron and Lorenzo Monaco and Lorenzo Morbidelli and Elena Pancino and Loredana Prisinzano and Alejandra Recio-Blanco and Giuseppina Sacco and S'ergio G. Sousa and Gra{\vz}ina Tautvaǐsienė and C. Clare Worley and Simone R. Zaggia},
  year={2018}
}
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… CONTINUE READING

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