Artículo

Yule-Simpson's paradox in galactic archaeology

Minchev, I. ; Matijevic, G. ; Hogg, D.W. ; Guiglion, G. ; Steinmetz, M. ; Anders, F. ; Chiappini, C. ; Martig, M. ; Queiroz, A. ; Scannapieco, Cecilia Icon

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Fecha

05/2019

Editorial

Wiley Blackwell Publishing, Inc

Revista

Monthly Notices of the Royal Astronomical Society

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ISSN

0035-8711

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Inglés

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Resumen

Simpson's paradox, or Yule-Simpson effect, arises when a trend appears in different subsets of data but disappears or reverses when these subsets are combined. We describe here seven cases of this phenomenon for chemo-kinematical relations believed to constrain the MilkyWay disc formation and evolution. We show that interpreting trends in relations, such as the radial and vertical chemical abundance gradients, the age-metallicity relation, and the metallicity- rotational velocity relation (MVR), can lead to conflicting conclusions about the Galaxy past if analyses marginalize over stellar age and/or birth radius. It is demonstrated that the MVR in RAVE giants is consistent with being always strongly negative, when narrow bins of [Mg/Fe] are considered. This is directly related to the negative radial metallicity gradients of stars grouped by common age (mono-age populations) due to the inside-out disc formation. The effect of the asymmetric drift can then give rise to a positive MVR trend in high-[a/Fe] stars, with a slope dependent on a given survey's selection function and observational uncertainties. We also study the variation of lithium abundance, A(Li), with [Fe/H] of AMBRE:HARPS dwarfs. A strong reversal in the positive A(Li)-[Fe/H] trend of the total sample is found for mono-age populations, flattening for younger groups of stars. Dissecting by birth radius shows strengthening in the positive A(Li)-[Fe/H] trend, shifting to higher [Fe/H] with decreasing birth radius; these observational results suggest new constraints on chemical evolutionmodels. This work highlights the necessity for precise age estimates for large stellar samples covering wide spatial regions.

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