The Pristine Survey - VIII. The metallicity distribution function of the Milky Way halo down to the extremely metal-poor regime

Youakim, K.; Starkenburg, E.; Martin, N. F.; Matijevič, G.; Aguado, D. S.; Allende Prieto, C.; Arentsen, A.; Bonifacio, P.; Carlberg, R. G.; González Hernández, J. I.; Hill, V.; Kordopatis, G.; Lardo, C.; Navarro, J. F.; Jablonka, P.; Sánchez Janssen, R.; Sestito, F.; Thomas, G. F.; Venn, K.
Bibliographical reference

Monthly Notices of the Royal Astronomical Society

Advertised on:
3
2020
Number of authors
19
IAC number of authors
2
Citations
48
Refereed citations
43
Description
The Pristine survey uses narrow-band photometry to derive precise metallicities down to the extremely metal-poor regime ( [Fe/H] < -3), and currently consists of over 4 million FGK-type stars over a sky area of ̃ 2500 deg^2. We focus our analysis on a subsample of ̃80 000 main-sequence turn-off stars with heliocentric distances between 6 and 20 kpc, which we take to be a representative sample of the inner halo. The resulting metallicity distribution function (MDF) has a peak at [Fe/H] =-1.6, and a slope of ∆(LogN)/∆ [Fe/H] = 1.0 ± 0.1 in the metallicity range of -3.4 < [Fe/H] < -2.5. This agrees well with a simple closed-box chemical enrichment model in this range, but is shallower than previous spectroscopic MDFs presented in the literature, suggesting that there may be a larger proportion of metal-poor stars in the inner halo than previously reported. We identify the Monoceros/TriAnd/ACS/EBS/A13 structure in metallicity space in a low-latitude field in the anticentre direction, and also discuss the possibility that the inner halo is dominated by a single, large merger event, but cannot strongly support or refute this idea with the current data. Finally, based on the MDF of field stars, we estimate the number of expected metal-poor globular clusters in the Milky Way halo to be 5.4 for [Fe/H] < -2.5 and 1.5 for [Fe/H] < -3, suggesting that the lack of low-metallicity globular clusters in the Milky Way is not due simply to statistical undersampling.
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