Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-26T05:24:31.743Z Has data issue: false hasContentIssue false

The Lowest Metallicity Stars in the LMC: Clues from MaGICC Simulations

Published online by Cambridge University Press:  31 July 2013

Chris B. Brook*
Affiliation:
Departamento de Física Teórica, Universidad Autónoma de Madrid, E-28049 Madrid, Spain
Maider S. Miranda
Affiliation:
Departamento de Física Teórica, Universidad Autónoma de Madrid, E-28049 Madrid, Spain Jeremiah Horrocks Institute, University of Central Lancashire, Preston, PR1 2HE, UK
Brad. K. Gibson
Affiliation:
Jeremiah Horrocks Institute, University of Central Lancashire, Preston, PR1 2HE, UK
Kate Pilkington
Affiliation:
Jeremiah Horrocks Institute, University of Central Lancashire, Preston, PR1 2HE, UK
Greg S. Stinson
Affiliation:
Max-Planck-Institut für Astronomie, Königstuhl 17, 69117, Heidelberg, Germany
Rights & Permissions [Opens in a new window]

Abstract

Using a cosmological hydrodynamical simulation of a galaxy of similar mass to the Large Magellanic Cloud (LMC), we examine the predicted characteristics of its lowest metallicity populations. In particular, we emphasise the spatial distributions of first (Pop III) and second (polluted by only immediate Pop III ancestors) generation stars. We find that primordial composition stars form not only in the central galaxy’s progenitor, but also in locally collapsed subhaloes during the early phases of galaxy formation. The lowest metallicity stars in these subhaloes end up in a relatively extended distribution around the host, with these accreted stars possessing present-day galactocentric distances as great as ~40 kpc. By contrast, the earliest stars formed within the central galaxy remain in the inner region, where the vast majority of star formation occurs, for the entirety of the simulation. Consequently, the fraction of stars that are from the earliest generation increases strongly with radius.

Type
Research Article
Copyright
Copyright © Astronomical Society of Australia 2013; published by Cambridge University Press 

1 INTRODUCTION

The baryonic component of the Large Magellanic Cloud (LMC) is dominated by its large off-centre bar and underlying stellar disc (~2.7 × 109 M) van der Marel et al. (Reference van der Marel, Alves, Hardy and Suntzeff2002), in addition to its associated neutral gas component (~0.5 × 109 M). The bar is dominated by young stars (Holtzman et al. Reference Holtzman1999; Harris & Zaritsky Reference Harris and Zaritsky2009) and shows a dearth of stars with ages of ~5−12 Gyr. Photometric surveys of the disc also provide evidence for a comparably quiescent period of star formation at intermediate ages (e.g. Smecker-Hane et al. Reference Smecker-Hane, Cole, III and Stetson2002; Harris & Zaritsky Reference Harris and Zaritsky2009). Beyond the disc region, empirical evidence for the presence of an extended, and old, stellar halo (reaching to at least ~25 kpc) also now exists (Muñoz et al. Reference Muñoz2006).

The distribution of the oldest and the most metal-poor stars in galaxies provides a unique ‘near-field’ probe of the cold dark matter (ΛCDM) hierarchical framework with their relative numbers (compared with the bulk of the metallicity distribution function (MDF) providing insight into the complex interplay between accretion, outflows, star formation efficiencies, and internal mixing processes, e.g., Pilkington et al. Reference Pilkington2012b). Indeed, the search for the most metal-poor stars in the Milky Way remains an important goal of contemporary astronomy (e.g. Norris et al. Reference Norris2013, and references therein). Analogous searches for such first or second generation stars within the LMC are obviously hampered by the latter’s distance (~50 kpc; Gibson Reference Gibson2000). Having said that, neither the stellar component of the bar region (traced by AGB stars; Cole et al. Reference Cole, Tolstoy, Gallagher and Smecker-Hane2005) nor that of the older underlying population (traced by RR Lyrae: Haschke et al. Reference Haschke2012) have thus far shown evidence for the presence of stars with metallicities below [Fe/H]~−3.Footnote 1

Beyond the extreme metal-poor tail of stellar abundances within the LMC, there also exists empirical evidence of both an age-metallicity (Holtzman et al. Reference Holtzman1999; Cole et al. Reference Cole, Tolstoy, Gallagher and Smecker-Hane2005; Rubele et al. Reference Rubele, Girardi, Kozhurina-Platais, Goudfrooij and Kerber2011) and age-radius (Piatti & Geisler Reference Piatti and Geisler2013) gradient, with essentially no significant radial metallicity gradient (Cioni Reference Cioni2009; Cole et al. Reference Cole, Van Loon and Oliveira2009; Feast, Abedigamba, & Whitelock Reference Feast, Abedigamba and Whitelock2010). In consort, such trends support a scenario in which the LMC formed in an ‘outside-in’ manner (cf. the canonical ‘inside-out’ scenario usually associated with the Milky Way, e.g., Pilkington et al. Reference Pilkington2012a).

Significant progress has been made in relation to predicting the expected distribution of old and metal-poor stars within our galaxy, using Milky Way scale disc simulations. Both White & Springel (Reference White and Springel2000) and Diemand, Madau, & Moore (Reference Diemand, Madau and Moore2005) suggest that the central regions today are the best place to search for the oldest stars. However, the link between the oldest stars, metal-free (Pop III) stars, and extremely metal-poor (pseudo-second generation) stars is not so straightforward.

In Scannapieco et al. (Reference Scannapieco2006) and Brook et al. (Reference Brook, Kawata, Scannapieco, Martel and Gibson2007), we demonstrated that Pop III stars formed over a range that peaked at z ~ 10, but continued to form down to z ~ 5, and were distributed over a wide range of galactocentric radii at z = 0. Under the assumption that the Pop III initial mass function (IMF) allowed stars with appropriately low mass to survive until the present day, our prediction was that they would be distributed throughout the galactic halo. On the other hand, the oldest stars formed in haloes that collapsed close to the highest density peak of the final system, and at z = 0 were located in the central or bulge region of the galaxy. These two studies also predicted similar distributions for second generation stars—i.e., those enriched only by Pop III stars—and showed that the fraction of first and second generation stars compared to the total stellar population was higher in the extended halo, compared with the bulge.

The question now arises; will old and metal-poor stars be distributed in a similar manner in lower mass galaxies, such as the LMC? Hierarchical build-up of mass is (almost) self-similar with respect to different mass haloes in a ΛCDM Universe (e.g. Macciò, Dutton, & van den Bosch Reference Macciò, Dutton and van den Bosch2008). That said, the stellar mass–halo mass relation (Moster et al. Reference Moster2010; Guo et al. Reference Guo, White, Li and Boylan-Kolchin2010) and the missing satellite problem (Klypin et al. Reference Klypin, Kravtsov, Valenzuela and Prada1999; Moore et al. Reference Moore1999) suggest that baryon fraction is a strong function of total mass, and that there may be a mass below which dark matter haloes have no baryons.Footnote 2 Should the LMC have an accreted population of stars, given its mass? According to Purcell, Bullock, & Zentner (Reference Purcell, Bullock and Zentner2007), the answer would be yes, with an accreted diffuse stellar component of mass ~107 M. Will the accretion events responsible for this component also bring in first/second generation stars and, if so, how will they be distributed in an LMC-like system? In this study, we examine a fully cosmological simulation of a dwarf irregular which has a comparable stellar mass to that of the LMC, in order to answer these questions.

A brief overview of the code and the underlying physics associated with the simulation employed here is provided in Section 2. We then (Section 3) examine the resolution of the simulations and relation between the sites of first star formation in our simulations to what is found in specialised high resolution simulations focussing on early star formation. The primary results (Section 4) and conclusions (Section 5) are drawn thereafter.

2 THE SIMULATION

We make use of initial conditions drawn from the MacMaster Unbiased Galaxy Simulations (MUGS; Stinson et al. Reference Stinson2010), but employ the feedback prescription outlined by the Making Galaxies in a Cosmological Context collaboration (MaGICC; Brook et al. Reference Brook, Stinson, Gibson, Wadsley and Quinn2012a). We inject 1051 erg per supernova in the form of thermal energy into the surrounding interstellar medium (ISM), using the blastwave formalism of Stinson et al. (Reference Stinson2006).Footnote 3 Cooling is disabled for gas particles situated within a blast region of size ~100 pc, for a time period of order 10 Myr.Footnote 4 We adopt a Chabrier (Reference Chabrier2003) IMF, and include the effects of radiation energy from massive stars in the ~4 Myr prior to the appearance of a stellar particle’s first Type II supernova. The efficiency with which this latter energy couples to the ISM, though, is <1%. Star formation is restricted to regions which are both sufficiently cool (<15 000 K) and dense (>9.3 cm−3).

The initial gas (dark matter) particle mass of the simulation is 2.4 × 104 M (1.7 × 105 M), while stars are formed with mass 7.9 × 103 M. The gravitational softening length is 155 pc for all particles.

The simulation employed here—our LMC analogue—was utilised in our earlier work to study its global photometric and kinematic characteristicsFootnote 5 (Brook et al. Reference Brook, Stinson, Gibson, Wadsley and Quinn2012a), the chemical properties of its stellar disc (Brook et al. Reference Brook, Stinson, Gibson, Wadsley and Quinn2012a), and the skewness, kurtosis, and higher order moments of its MDFFootnote 6 (Pilkington et al. Reference Pilkington2012b). Its stellar mass (4.2 × 109 M) and rotation velocity (~85 km s-1 at 2.2 disc scale lengths) mean that it is somewhat more massive than the LMC and, as such, all comparisons are made with this caveat in mind.

The simulation, along with its companions within the MaGICC suite, is consistent with the empirical stellar mass–halo mass relation (Brook et al. Reference Brook, Stinson, Gibson, Wadsley and Quinn2012a; Stinson et al. Reference Stinson2013) as derived by halo-matching studies (Moster et al. Reference Moster2010; Guo et al. Reference Guo, White, Li and Boylan-Kolchin2010), as well as the evolution of such relations (Moster, Naab, & White Reference Moster, Naab and White2013; Stinson et al. Reference Stinson2013); in addition, they match a wide range of galaxy scaling relations (Brook et al. Reference Brook, Stinson, Gibson, Wadsley and Quinn2012a). This gives a degree of confidence in the history of the build-up of the baryonic mass within the dark matter-dominated growth of the galaxy mass, and in particular that there are reasonable constraints on the accretion of stellar systems when mergers occur. Further, our simulations include strong outflows (Brook et al. Reference Brook2011), particularly in dwarfs, and reproduce the extended metal enrichment of the circumgalactic media of intermediate mass galaxies (Stinson et al. Reference Stinson2012), and possess temporally invariant metallicity gradients (Pilkington et al. Reference Pilkington2012b; Gibson et al. Reference Gibson, Pilkington, Brook, Stinson and Bailin2013).

Extended stellar haloes in low mass galaxies may form from processes other than accretion. Stinson et al. (Reference Stinson2009) show that elevated early star formation activity combined with supernova feedback can produce an extended stellar distribution in the absence of accretion, while Zolotov et al. (Reference Zolotov2009) and House et al. (Reference House2011) show that stars formed in situ can also contribute to stellar haloes. These processes are self-consistently included in our simulations, and are thus accounted for in our analysis of the distribution of low metallicity populations. Further, in this study, we analyse an isolated galaxy formation simulation that is the closest analogue to the LMC in terms of stellar mass of those formed in the MaGICC program. Thus, an assumption of this paper is that the early stars in the LMC are not enriched by outflows from the progenitor of the Milky Way. Given the analysis of Scannapieco et al. (Reference Scannapieco2006), who showed that even in models with extreme outflows, lower mass objects which collapse away from the central galaxy are formed from primordial gas, this would appear to be a reasonable assumption, particularly if the LMC is truly on its first orbit around the Milky Way (Besla et al. Reference Besla2007).

Finally, we note that our simulation does not incorporate an event which results in an analogue of the significant bar seen in the LMC. Instead, our study aims to explore the formation and evolution of the older populations and underlying disc stars. While not meaning to be a one-to-one ‘clone’ of the LMC, we will see that our model can provide some broad insights into the lowest metallicity populations of stars expected of galaxies of this mass.

3 EARLIEST STAR FORMING SITES

The nature of the sites of first star formation remains uncertain and the subject of significant research. Early analytic models found variously that the earliest stars form within haloes of mass between ~5 × 104 M, and ~5 × 107 M at redshifts between 100 and 10 (Tegmark et al. Reference Tegmark1997). Isolated simulations favoured halo masses of ~7 × 105 M (Fuller & Couchman Reference Fuller and Couchman2000), while cosmological simulations favoured ~7 × 105 M (Yoshida et al. Reference Yoshida, Sokasian, Hernquist and Springel2003) and found no dependence on redshift.

Recent simulations continue to apply increasingly sophisticated models, including detailed radiative feedback, with Umemura et al. (Reference Umemura, Susa, Hasegawa, Suwa and Semelin2013) finding that multiple stars may form within haloes of mass ~105 M. Xu, Wise, & Norman (Reference Xu, Wise and Norman2013) study Pop III star formation at high resolution over a relatively large volume, and find that Pop III stars form in haloes between 4 × 106 M and 3 × 108 M, with the majority forming in haloes with masses of a few ×107 M. In their simulations, Pop III stars inside more massive haloes are the result of mergers of small haloes, rather than forming in the more massive haloes themselves. We note that significantly more work has been done on the earliest stars that form in the largest over-densities at high redshift, that will be progenitors of massive galaxies, than in smaller over-densities that are progenitors of lower mass galaxies such as the LMC.

In our simulations, the first stars form within a halo with virial mass ~5 × 107 M, at z ~ 13. Only a single star particle (7 × 103 M) that forms in this earliest collapsing halo has zero metallicity, and it is able to pollute the surrounding region such that subsequent star particles have some metals. Just to make it clear, our model is not capturing details of the progression of star formation and self-enrichment within these first star forming sites, which remains uncertain. Rather, our labels of zero metallicity stars reflect the properties of the most metal-poor stars formed in any given region. Thus, it is entirely possible that some fraction of the star particle forming in haloes that collapse from primordial gas will nevertheless contain metals that were inherited from other stars forming in the same temporally extended burst. For our purposes here then stars formed in such self-enriched primordial star clusters are included in the distribution that we have labelled as zero metallicity, or primordial stars. Similarly, if the first stars in LMC mass galaxies form in lower mass systems at higher redshift than what we resolve, then presumably these would be incorporated into these collapsing regions that we do resolve. Yet the evolutionary fate of these stars, whether they are primordial or simply low metallicity, is well modelled in our simulations.

The formation of primordial stars in our simulation then proceeds as independent proto-galactic regions collapse to 5 − 8 × 107 M. We have identified that 14 such regions that house primordial star formation exist, and that they collapse between redshift ~13 and redshift ~3. The number of star particles in each independent site of primordial star formation ranges from 1 to 3, meaning a mass of (0.7–2.1 × 104 M). Again, some uncertainty remains as to how star formation should proceed in each of these sites. In particular, our simulations show no dependence of the mass of stars formed in these sites with redshift. Thus, a caveat of our model is that the early self-pollution of the separate sites of primordial star formation will be relatively similar and in particular are independent of redshift. A strong redshift dependence may have an effect on the shape of the radial distribution of early generation stars, as shown in Section 4.

4 RESULTS

In Figure 1, we show the star formation history (SFH) for both the ensemble of stars within the virial radius (black) and the extremely metal-poor (EMP) population ([Z/Z]< −4, in red). EMP stars are all older than ~10 Gyr and form in 4 − 5 discrete ‘bursts’, while the overall star formation rate is fairly constant over final ~10 Gyr of the simulation (with a slight upturn in the final ~300 Myr).Footnote 7

Figure 1. Star formation history of our LMC analogue, using all stars within the virial radius, colour-coded in black (for all stars) and red (extremely metal-poor stars: i.e., Z < Z/10 000). Here, the extremely metal-poor stars form in early, discrete, bursts, while the star formation history for the ensemble is fairly constant over the past ~10 Gyr.

In Figure 2, we show the age–metallicity relation (AMR) of the ensemble population of stars in our LMC analogue.Footnote 8 The overall trend (both qualitatively and quantitatively) is remarkably similar to that seen for the LMC, in nature (overlaid in Figure 2 with black symbols). The curves in Figure 2 correspond to the analytical models of Pagel & Tautvaisiene (Reference Pagel and Tautvaisiene1998).

Figure 2. Age–metallicity relation for all stars within the virial radius of our simulated LMC analogue. The colour-coding of the contours is by density, ranging from purple (fewest stars) to green (most stars). The black curves and points represent analytical models and empirical data for the LMC, after Pagel & Tautvaisiene (Reference Pagel and Tautvaisiene1998).

We next show the MDFs as a function of galactocentric radius, for the ensemble of stars in our LMC analogue (the black line within Figure 3).Footnote 9 We note firstly that the stellar halo of the galaxy extends out to ~40 kpc. The red line (radii <5 kpc) shows that a low metallicity tail exists in the main body of the galaxy, but that very few stars—fractionally speaking—have [Z/Z]<−4 (i.e., few EMPs). Conversely, as we move to larger radii, the fractionof EMPs increases (even if the overall numbers do not).

Figure 3. Metallicity distribution function of disc stars within our simulated LMC analogue, as a function of galactocentric radius: black (all stars), red (radii < 5 kpc), yellow (5 < radii < 10 kpc), green (10 < radii < 20 kpc), and cyan (20 < radii < 40 kpc).

In Figure 4, the MDF is separated by stellar ages, with red being the youngest and cyan the oldest. Stars with [Z/Z]<−2 are older than 9 Gyr. The metallicity decreases with increasing age, as per the age–metallicity relation (Figure 2). The very youngest stars (red line, age <2 Gyr) have a very narrow distribution at [Z/Z] ~−0.5 and a few stars with [Z/Z] ~−2. The oldest stars (light blue, ages >9 Gyr) have a peak at [Z/Z] ~−1.0, with a long tail. These trends are consistent with our earlier analysis of the ‘bulge’ and ‘solar neighbourhood’ regions of a comparable simulated dwarf (Figures 4 and 5 of Pilkington et al. Reference Pilkington2012b are analogous to that of Figure 4 here, albeit the latter now shows the full ensemble of stars rather than just two spatially selected sub-sets employed in Pilkington et al.).

Figure 4. Metallicity distribution functions for the ensemble of stars within the virial radius of our simulated LMC analogue, sub-divided by stellar age. In black, all stars are shown; in red, only stars formed in the past 2 Gyr are shown; yellow, green, and cyan correspond, respectively, to ages 2→5 Gyr, 6→9 Gyr, and >9 Gyr.

Figure 5. Fraction of zero metallicity (black) and EMP (red) stars (normalised by the total number of stars at each galactocentric radius).

In Figure 5, we focus on the the zero metallicity (black) and EMP stars (red). We show the fraction of low metallicity stars as a function of galactocentric radius (normalised by the total number of stars in each radial bin). While the number statistics are low, as a fraction of the stellar population, low metallicity stars only become significant in the outer parts of the galaxy. We restate the caveat mentioned in Section 3 that the enrichment of the independent regions of primordial star formation is relatively uniform in our models, without a significant redshift dependence. Under this assumption, the predicted trends in Figure 5 will remain, although the absolute values of the fractions will vary according to the details of the earliest star formation within the earliest collapsing proto-galactic haloes.

We can now visualise the evolution of the galaxy and its metals, and identify the specific origin of the low metallicity stars. In Figure 6, time evolves from left to right, with the six columns corresponding to redshifts z = 5.5, 4.2, 3.1, 2.0, 1.0, and 0, respectively. We plot all baryons that form stars by z = 0; each point can be a gas element, or it may have already formed a star. Thus, in the right-most column, only stars are shown because, by construction, it is redshift z = 0; conversely, in the earlier time steps gas is also shown (which will later form stars), with the gas dominating increasingly to the left (i.e., at higher redshifts).

Figure 6. Temporal evolution of all baryons which will form stars by redshift z = 0 in the x-y plane with sides of 40 kpc. The columns, from left to right, correspond to redshifts z = 5.5, 4.2, 3.1, 2.0, 1.0, and 0, respectively. Baryons in the top row are coloured by the metallicity of the stars which they will form by z = 0. Baryons in the bottom row are coloured according to the metallicity at each time step. The colour distribution is the same in both sequences: [Z/Z] > −1 (blue), −3 < [Z/Z]< −1 (cyan), [Z/Z]< −3 (green), and zero metallicity (yellow). In the top row, we have identified separately the baryons (i.e. stars and the gas from which stars will form) with [Z/Z] < −4 (yellow diamonds) and zero metallicty stars (red diamonds).

The colour distribution is the same for both rows in Figure 6: the highest metallicity is represented in blue, and as metallicity decreases the colour changes progressively to cyan, green, and yellow. In the top row, each baryon is coloured according to this mapping (i.e., to the metallicity of the star it will have formed by z = 0). Thus, in the top-left panel, baryons that form the lowest metallicity stars (green, [Z/Z] < −3) are already collapsing in the densest regions. By contrast, the gas which will form stars with high metallicity (blue, [Z/Z] > −1) is in the outer, less dense regions at z = 5.5, and will not form stars until later, by which time they are enriched.

In the bottom row of Figure 6, colours are assigned to the baryons by the metallicity they have at the time step of each panel. This shows that the enrichment is most evolved in the central region, where stars are forming, with the z = 4.2 panel, in particular, showing that enrichment is quite inhomogeneous, with enrichment proceeding around locally collapsed regions. The region around the central main progenitor is the most enriched. Note that the order of overplotting the different metallicities is opposite in each row: in the top panels, the low metallicity baryons are overplotted on the ones with higher metallicity; in the bottom row, we follow the inverse process. In other words, the two panels of the far-right column are the same, but plotted in the inverse metallicity order.

The yellow diamonds in both panels of Figure 6 indicate baryons with zero metallicity (stars or the gas from which they form). Red diamonds are the extremely metal-poor ([Z/Z] < −4) stars. Clearly, primordial gas is collapsing in several local regions and forming stars, prior to accretion to the central region. This process is what results in the more extended distribution of the lowest metallicity stars, compared to the general population, which is dominated by stars that form at later times from gas that accretes to the central region before forming stars.

5 CONCLUSIONS

Cold dark matter cosmology is characterised by the hierarchical build-up of mass through merging processes. So long as stars are able to form within locally collapsing regions during an early rapid-collapse phase, they will subsequently be thrown into an extended distribution (a stellar halo) as the central galaxy is assembled. Using fully cosmological hydrodynamical zoom simulations of a dwarf galaxy, we have shown that we can expect this to occur in galaxies in the mass range of the LMC. In our simulation, the accreted stars extend out to ~40 kpc in a system which has double the stellar mass of the LMC.

We have further shown that we can expect that the first stars forming within high redshift, locally collapsing, regions, will form from primordial material, meaning that the first and second generation stars will have an extended distribution at z = 0. This is in spite of the significant large scale supernova-driven outflows that occur in the simulated galax-ies of our MaGICC program (Brook et al. Reference Brook, Stinson, Gibson, Wadsley and Quinn2012a, Reference Brook2012b; Stinson et al. Reference Stinson2012). In our simulations, 14 independent sites of primordial star formation exist, as proto-haloes collapse to ~5 − 8 × 107 M between redshift ~13–3. Later star formation is dominated by in situ star formation in the inner region of the galaxy, meaning that it is in the outer regions where the largest fraction of first and second generation stars will be found at z = 0. So long as the enrichment of the independent regions of primordial star formation is relatively uniform, without a significant redshift dependence, these predicted trends will remain, although the absolute values of the fractions will vary according to the details of the earliest star formation within the earliest collapsing proto-galactic haloes.

Although this comparison of a simulated galaxy using hydrodynamics within a cosmological framework has provided interesting insights into the expectations regarding the oldest populations in low mass galaxies such as the LMC, a larger statistical suite of simulations are required to make a firmer one-to-one comparison with the LMC–Milky Way system as a whole. We note that the extended population of stars in the LMC, as predicted in our simulations, evokes the predictions made by Bovill & Ricotti 2011 of ‘ghost halos’ around isolated dwarfs as remnants of primordial star formation.

ACKNOWLEDGEMENTS

CBB is supported by the MICINN (Spain) through the grant AYA2009-12792. BKG acknowledges the support of the UKâ Science & Technology Facilities Council (ST/J001341/1). The generous allocation of resources from STFC’s DiRAC Facility (COSMOS: Galactic Archaeology) is gratefully acknowledged. We also thank the PRACE-2IP project (FP7 RI-283493) for support, in addition to the University of Central Lancashire’s High Performance Computing Facility.

Footnotes

1 Although one might not expect to find RR Lyrae stars with [Fe/H]<−3, as such extremely metal-poor stars may not enter the instability strip (Yoon & Lee Reference Yoon and Lee2002).

2 The existence of baryons in low mass haloes may be a combination of collapse time and mass, rather than mass alone, with haloes that collapse later less likely to house baryons (see e.g. Bullock, Kravtsov, & Weinberg Reference Bullock, Kravtsov and Weinberg2000).

3 The radius over which the energy is deposited corresponds to radius at which the interior pressure in the remnant is reduced to that of the pressure of the ambient ISM, i.e., Rmerge, using the terminology of Gibson (Reference Gibson1994).

4 This is the timescale for the remnant’s interior to cool to ~104 K, below which radiative losses are minimal; this corresponds roughly to a timescale ~200× that associated with the formation of the thin dense shell, subsequent to the radiative cooling of the shocked material (the latter occurs near the end of the Sedov–Taylor phase) (Gibson Reference Gibson1994).

5 Where it was referred to by the label SG3.

6 Where it was referred to by the label 11mChab.

7 Figure 1 is somewhat analogous to Figure 1 of Pilkington et al. (Reference Pilkington2012b), although here, we sub-divide the ensemble and EMP populations, while in the latter, we only showed the star formation history of the analogous solar neighbourhood of 11mChab (blue curve, therein).

8 Figure 2 is analogous to the upper right panel of Pilkington et al.’s (Reference Pilkington2012b) Figure 2, albeit for the ensemble of stars rather than just the sub-set of ‘solar neighbourhood’ stars shown in the latter.

9 The black curve of Figure 3 is analogous to the upper right panel of Pilkington et al.’s (Reference Pilkington2012b) Figure 3, albeit for the ensemble of stars rather than just the sub-set of ‘solar neighbourhood’ stars shown in the latter.

References

REFERENCES

Besla, G., et al. 2007, ApJ, 668, 949 Google Scholar
Bovill, M. S., & Ricotti, M. 2011, ApJ, 741 Google Scholar
Brook, C. B., Kawata, D., Scannapieco, E., Martel, H., & Gibson, B. K. 2007, ApJ, 661, 10 Google Scholar
Brook, C. B., et al. 2011, MNRAS, 415, 1051 Google Scholar
Brook, C. B., Stinson, G., Gibson, B. K., Wadsley, J., & Quinn, T. 2012a, MNRAS, 424, 1275 Google Scholar
Brook, C. B., et al. 2012b, MNRAS, 426, 690 Google Scholar
Bullock, J. S., Kravtsov, A. V., & Weinberg, D. H. 2000, ApJ, 539, 517 Google Scholar
Chabrier, G. 2003, ApJ, 586, L133 Google Scholar
Cioni, M.-R. L. 2009, A&A, 506, 1137 Google Scholar
Cole, A. A., Tolstoy, E., Gallagher, J. S. III, & Smecker-Hane, T. A. 2005, AJ, 129, 1465 Google Scholar
Cole, A. A., et al. 2009, in IAU Symposium, Vol. 256, IAU Symposium, ed. Van Loon, J. T., & Oliveira, J. M., Cambridge University Press, 263Google Scholar
Diemand, J., Madau, P., & Moore, B. 2005, MNRAS, 364, 367 Google Scholar
Feast, M. W., Abedigamba, O. P., & Whitelock, P. A. 2010, MNRAS, 408, L76 Google Scholar
Fuller, T. M., & Couchman, H. M. P. 2000, ApJ, 544, 6 Google Scholar
Gibson, B. K. 1994, JRASC, 88, 383 Google Scholar
Gibson, B. K. 2000, MmSAI, 71, 693 Google Scholar
Gibson, B. K., Pilkington, K., Brook, C. B., Stinson, G. S., & Bailin, J. 2013, A&A, 554A, 47G Google Scholar
Guo, Q., White, S., Li, C., & Boylan-Kolchin, M. 2010, MNRAS, 404, 1111 Google Scholar
Harris, J., & Zaritsky, D. 2009, AJ, 138, 1243 Google Scholar
Haschke, R., et al. 2012, AJ, 144, 88 Google Scholar
Holtzman, J. A., et al. 1999, AJ, 118, 2262 Google Scholar
House, E. L., et al. 2011, MNRAS, 415, 2652 Google Scholar
Klypin, A., Kravtsov, A. V., Valenzuela, O., & Prada, F. 1999, ApJ, 522, 82 Google Scholar
Macciò, A. V., Dutton, A. A., & van den Bosch, F. C. 2008, MNRAS, 391, 1940 Google Scholar
Moore, B., et al. 1999, ApJ, 524, L19 Google Scholar
Moster, B. P., Naab, T., & White, S. D. M. 2013, MNRAS, 428, 3121 Google Scholar
Moster, B. P., et al. 2010, ApJ, 710, 903 Google Scholar
Muñoz, R. R., et al. 2006, ApJ, 649, 201 Google Scholar
Norris, J. E., et al. 2013, ApJ, 762, 25 Google Scholar
Pagel, B. E. J., & Tautvaisiene, G. 1998, MNRAS, 299, 535 Google Scholar
Piatti, A. E., & Geisler, D. 2013, AJ, 145, 17 Google Scholar
Pilkington, K., et al. 2012a, A&A, 540, A56 Google Scholar
Pilkington, K., et al. 2012b, MNRAS, 425, 969 Google Scholar
Purcell, C. W., Bullock, J. S., & Zentner, A. R. 2007, ApJ, 666, 20 Google Scholar
Rubele, S., Girardi, L., Kozhurina-Platais, V., Goudfrooij, P., & Kerber, L. 2011, MNRAS, 414, 2204 Google Scholar
Scannapieco, E., et al. 2006, ApJ, 653, 285 Google Scholar
Smecker-Hane, T. A., Cole, A. A. Gallagher, III, J. S., & Stetson, P. B. 2002, ApJ, 566, 239 Google Scholar
Stinson, G., et al. 2006, MNRAS, 373, 1074 Google Scholar
Stinson, G. S., et al. 2009, MNRAS, 395, 1455 Google Scholar
Stinson, G. S. 2010, MNRAS, 408, 812 Google Scholar
Stinson, G. S., et al. 2012, MNRAS, 425, 1270 Google Scholar
Stinson, G. S., et al. 2013, MNRAS, 428, 129 Google Scholar
Tegmark, M., et al. 1997, ApJ, 474, 1 Google Scholar
Umemura, M., Susa, H., Hasegawa, K., Suwa, T., & Semelin, B. 2013, Prog. Theor. Exp. Pys., 01A306Google Scholar
van der Marel, R. P., Alves, D. R., Hardy, E., & Suntzeff, N. B. 2002, AJ, 124, 2639 Google Scholar
White, S. D. M., & Springel, V. 2000, in The First Stars, ed. A. Weiss, T. G. Abel, & V. Hill, Springer-Verlag, 327Google Scholar
Xu, H., Wise, J. H., & Norman, M. L. 2013, ArXiv e-printsGoogle Scholar
Yoon, S.-J., & Lee, Y.-W. 2002, Sci, 297, 578 Google Scholar
Yoshida, N., Sokasian, A., Hernquist, L., & Springel, V. 2003, ApJ, 598, 73 Google Scholar
Zolotov, A., et al. 2009, ApJ, 702, 1058 Google Scholar
Figure 0

Figure 1. Star formation history of our LMC analogue, using all stars within the virial radius, colour-coded in black (for all stars) and red (extremely metal-poor stars: i.e., Z < Z/10 000). Here, the extremely metal-poor stars form in early, discrete, bursts, while the star formation history for the ensemble is fairly constant over the past ~10 Gyr.

Figure 1

Figure 2. Age–metallicity relation for all stars within the virial radius of our simulated LMC analogue. The colour-coding of the contours is by density, ranging from purple (fewest stars) to green (most stars). The black curves and points represent analytical models and empirical data for the LMC, after Pagel & Tautvaisiene (1998).

Figure 2

Figure 3. Metallicity distribution function of disc stars within our simulated LMC analogue, as a function of galactocentric radius: black (all stars), red (radii < 5 kpc), yellow (5 < radii < 10 kpc), green (10 < radii < 20 kpc), and cyan (20 < radii < 40 kpc).

Figure 3

Figure 4. Metallicity distribution functions for the ensemble of stars within the virial radius of our simulated LMC analogue, sub-divided by stellar age. In black, all stars are shown; in red, only stars formed in the past 2 Gyr are shown; yellow, green, and cyan correspond, respectively, to ages 2→5 Gyr, 6→9 Gyr, and >9 Gyr.

Figure 4

Figure 5. Fraction of zero metallicity (black) and EMP (red) stars (normalised by the total number of stars at each galactocentric radius).

Figure 5

Figure 6. Temporal evolution of all baryons which will form stars by redshift z = 0 in the x-y plane with sides of 40 kpc. The columns, from left to right, correspond to redshifts z = 5.5, 4.2, 3.1, 2.0, 1.0, and 0, respectively. Baryons in the top row are coloured by the metallicity of the stars which they will form by z = 0. Baryons in the bottom row are coloured according to the metallicity at each time step. The colour distribution is the same in both sequences: [Z/Z] > −1 (blue), −3 < [Z/Z]< −1 (cyan), [Z/Z]< −3 (green), and zero metallicity (yellow). In the top row, we have identified separately the baryons (i.e. stars and the gas from which stars will form) with [Z/Z] < −4 (yellow diamonds) and zero metallicty stars (red diamonds).