TL;DR
This study uses cosmological simulations to explore the distribution and missing dwarf galaxies in the Local Group, suggesting many low-mass dwarfs remain undiscovered near galaxy boundaries.
Contribution
It provides a detailed analysis of the predicted dwarf galaxy population and highlights the likely incompleteness of current observations, especially for low-mass field dwarfs.
Findings
Less than one third of LG dwarfs are satellites within virial radii.
Approximately 50 dwarf galaxies may be missing from current surveys.
Most missing dwarfs are predicted to be near the virial boundaries of the LG primaries.
Abstract
We study the Local Group (LG) dwarf galaxy population predicted by the \apostle CDM cosmological hydrodynamics simulations. These indicate that: (i)~the total mass within Mpc of the Milky Way-Andromeda midpoint () typically exceeds times the sum of the virial masses () of the two primaries and (ii)~the dwarf galaxy formation efficiency per unit mass is uniform throughout the volume. This suggests that the satellite population within the virial radii of the Milky Way and Andromeda should make up fewer than one third of all LG dwarfs within Mpc. This is consistent with the fraction of observed LG galaxies with stellar mass that are satellites ( out of ; i.e., per cent). For the \apostle galaxy mass-halo mass relation, the total number of such galaxies further suggests a LG mass of $M_{\rm 3…
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The missing dwarf galaxies of the Local Group
Azadeh Fattahi1, Julio F. Navarro2, and Carlos S. Frenk1
1Institute for Computational Cosmology, Department of Physics, University of Durham, South Road, Durham DH1 3LE, UK
2CIfAR Fellow. Department of Physics and Astronomy,University of Victoria, PO Box 3055 STN CSC, Victoria, BC, V8W 3P6, Canada Email: [email protected]
(Accepted XXX. Received YYY; in original form ZZZ)
Abstract
We study the Local Group (LG) dwarf galaxy population predicted by the APOSTLE CDM cosmological hydrodynamics simulations. These indicate that: (i) the total mass within Mpc of the Milky Way-Andromeda midpoint () typically exceeds times the sum of the virial masses () of the two primaries and (ii) the dwarf galaxy formation efficiency per unit mass is uniform throughout the volume. This suggests that the satellite population within the virial radii of the Milky Way and Andromeda should make up fewer than one third of all LG dwarfs within Mpc. This is consistent with the fraction of observed LG galaxies with stellar mass that are satellites ( out of ; i.e., per cent). For the APOSTLE galaxy mass-halo mass relation, the total number of such galaxies further suggests a LG mass of . At lower galaxy masses, however, the observed satellite fraction is substantially higher ( per cent for ). If this is due to incompleteness in the field sample, then dwarf galaxies at least as massive as the Draco dwarf spheroidal must be missing from the current LG field dwarf inventory. The incompleteness interpretation is supported by the pronounced flattening of the LG luminosity function below , and by the scarcity of low-surface brightness LG field galaxies compared to satellites. The simulations indicate that most missing dwarfs should lie near the virial boundaries of the two LG primaries, and predict a trove of nearby dwarfs that await discovery by upcoming wide-field imaging surveys.
keywords:
Local Group – galaxies: dwarf – dark matter
††pubyear: 2019††pagerange: The missing dwarf galaxies of the Local Group–References
1 Introduction
The inventory of galaxies in the surroundings of the Milky Way (MW) and Andromeda (M31) galaxies is almost certainly incomplete. Every new wide-field imaging survey of the night sky, when combined with refined galaxy finding techniques, yields almost inevitably a plentiful catch of new discoveries, many of which have been MW and M31 satellites (see, e.g., Belokurov et al., 2007, 2010; McConnachie et al., 2008; Koposov et al., 2015; Drlica-Wagner et al., 2015; Bechtol et al., 2015). In the case of the MW, for example, satellites as faint as have now been reported, extending by several orders of magnitude the faint-end limit of the galaxy luminosity function to a “confusion-limited” regime where faint galaxies and star clusters become indistinguishable from each other without accurate kinematic data (Simon & Geha, 2007; Tolstoy et al., 2009; McConnachie, 2012; Koposov et al., 2011; Martin et al., 2016; Walker et al., 2016; Simon, 2019).
These newly-discovered satellites are not just faint but have also extremely low surface brightness (LSB), reaching values times fainter than the “ultra diffuse” galaxy population (UDGs) recently reported in galaxy clusters and in the vicinity of bright galaxies (van Dokkum et al., 2015; Yagi et al., 2016). These extreme LSB dwarfs are rather challenging to detect and, consequently, the census of faint satellites around the MW and M31 is widely agreed to be far from complete (Newton et al., 2018; Nadler et al., 2019). Correcting for this incompleteness is non trivial, for it requires making assumptions about how satellites populate the size-luminosity plane, as well as how they are distributed radially, neither of which is known accurately enough (Koposov et al., 2008).
The incompleteness is often thought to affect solely the “ultra-faint” regime, defined here as galaxies below (or a stellar mass of ; i.e., that of the Draco, or Ursa Minor, dwarf spheroidals; hereafter dSphs). However, the recent discovery of “feeble giant” galaxies, such as the Crater II and Antlia II dSphs (Torrealba et al., 2016; Torrealba et al., 2018), suggests that our current inventory of MW satellites may be missing systems even in the luminosity range typically referred to as “classical dSphs”. Galaxies like Crater II have unexpectedly large radii, making them practically invisible through the foreground of Galactic stars and the background of distant galaxies.
Although difficult to detect, these ultra-diffuse systems have the potential of yielding important clues to our understanding of dwarf galaxy formation. Indeed, the kinematics of their stars have proved challenging to interpret: some have extremely low velocity dispersions, hinting at very low dark matter densities (e.g., Crater II, And XIX, Collins et al., 2013; Caldwell et al., 2017), while others inhabit surprisingly dense haloes, according to the kinematical evidence (e.g., Draco, Tucana, Walker et al., 2007; Gregory et al., 2019). These diverse properties are mirrored by other UDGs outside the Local Group (LG), where some have been associated with massive dark haloes (van Dokkum et al., 2016; Beasley et al., 2016), whereas others have been found to contain little obvious evidence for dark matter (van Dokkum et al., 2018).
It would be extremely valuable to find other examples of such systems in the Local Group, as their proximity facilitates their study. Particularly interesting are luminous dwarfs such as the “feeble giants” mentioned above, where the large number of giant stars amenable to spectroscopic observation would enable detailed modelling that may shed light on the origin of their puzzling kinematics.
We address these issues here using cosmological hydro dynamical simulations of Local Group-like volumes from the APOSTLE111A Project Of Simulating The Local Environment project (Fattahi et al., 2016; Sawala et al., 2016b). In particular, we aim to estimate the number of “classical dSphs” (i.e., those with , or, equivalently, ) in the Local Group volume, defined here as the Mpc-radius sphere around the midpoint between the MW and M31. As we discuss below, this depends primarily on the total mass within that volume, and on whether the dwarf galaxy formation “efficiency” (i.e., the number of galaxies per unit mass) in that volume is substantially different from that of the MW halo.
The plan for this paper is as follows. After describing the simulations (Sec. 2) and galaxy samples (Sec. 3) we consider in our study, we analyse the galaxy formation efficiency in the LG field and around the two primaries (Sec 4). The analysis contrasts the expected faint-end of the LG luminosity/stellar mass function with current observational constraints, and yields an estimate of the total mass within Mpc (Sec. 4.5); a prediction for the number of luminous dwarfs missing from that volume (Sec. 4.6); and clear indications as to where they might be located (Sec. 4.7). We end with a brief discussion of the surface brightness limits of current samples of satellites and field LG galaxies, which clearly demonstrates the lack of known low surface brightness galaxies in the LG field.
2 Numerical Simulations
2.1 The DOVE simulation
We use the DOVE N-body cosmological simulations (Jenkins, 2013), to select LG-like environments. DOVE followed evolution of a cosmological cube with collisionless DM particles of mass . The simulation started at redshift and was run to with the Tree-PM code P-Gadget3, a variant of the publicly available code, Gadget-2 (Springel et al., 2005). DOVE adopts flat CDM cosmological parameters consistent with WMAP-7 data (Komatsu et al., 2011): , , .
DM haloes are identified in DOVE at using the friends-of-friends algorithm (FoF; Davis et al., 1985) with linking length times the mean interparticle separation. Bound structures and substructures in FoF haloes are found recursively using SUBFIND (Springel et al., 2001).
We search for LG-like environments in DOVE by considering all haloes with virial222We define the virial boundary of a halo as that of a sphere with mean interior density equal to times the critical density of the Universe. mass above and identifying pairs with separations . The pair members are typically in separate FoF groups but in some cases they are linked into a single FoF halo.
We select pairs that meet a relatively strict isolation criterion (“MedIso”) so that there are no haloes more massive than the lower-mass pair member within from the midpoint between the primaries333We shall refer to the midpoint between the pair members as the “barycentre” for short.. A more restrictive isolation criterion (“HiIso”) was also considered, with .
Fig. 1 shows the separation and relative radial velocity () of DOVE pairs. Systems identified with the “MedIso” and “HiIso” isolation criteria are represented with open squares and crosses, respectively. (HiIso pairs are a subsample of the MedIso sample, by definition). The pairs are colour-coded according to the sum of the virial mass of the paired haloes, . The solid curves indicate the expected loci of pairs of fixed total mass on radial orbits, according to the timing argument (Kahn & Woltjer, 1959; Li & White, 2008; Fattahi et al., 2016).
We narrow down the pair selection by applying constraints on separation, , and radial velocity, , respectively, in order to approximate the present-day kinematics of the MW-M31 pair. Additionally, we impose a minimum mass ratio cut of () to discard pairs with a large mass difference. Hereafter, we shall use “DOVE pairs” to refer to all MedIso and HighIso pairs satisfying these conditions.
2.2 APOSTLE simulations
The APOSTLE project is a suite of cosmological hydrodynamical re-simulations of 12 volumes selected from the DOVE sample of LG candidate volumes discussed above (Sawala et al., 2016b; Fattahi et al., 2016). In addition to the kinematic constraints described in the DOVE selection, APOSTLE pair members satisfy a relative tangential velocity criterion, , and the surrounding haloes follow the Hubble flow out to , which is observed to be only weakly decelerated beyond Mpc (see Fattahi et al., 2016, for details). APOSTLE volumes are a subsample of the MedIso pairs described in the previous section, and are highlighted with circles in Fig. 1.
The APOSTLE simulations were run at three different levels of resolutions, labelled AP-L1, AP-L2, and AP-L3 with initial mass per gas particle of , , and , respectively, using the code developed for the EAGLE project (Schaye et al., 2015; Crain et al., 2015). All 12 APOSTLE volumes were simulated at resolution levels L2 and L3, but only 5 volumes have been simulated at resolution L1, due to the computational expense.
The EAGLE galaxy formation model was calibrated to reproduce the observed stellar mass function of galaxies in the range -, in a cosmological volume ( Mpc3), as well as the stellar mass-size relation of galaxies. The subgrid physics model includes metal cooling, star formation, stellar evolution and supernovae feedback, a homogeneous background UV/X-Ray photoionisation radiation, supermassive black hole formation and evolution, and AGN feedback. The model reproduces the rotation curve of galaxies quite well (Schaller et al., 2015), as well as the Tully-Fisher relation over a wide range of masses (Ferrero et al., 2017; Sales et al., 2017).
Haloes, subhaloes, and galaxies in APOSTLE are also identified using the FoF and SUBFIND algorithms. Each APOSTLE volume has a dark-matter-only (DMO) counterpart. We refer to the hydrodynamical and dark-matter-only runs as AP-HYDRO and AP-DMO , respectively.
3 Galaxy samples
3.1 Simulated galaxy sample
Galaxies and haloes in the simulated LG-like volumes are identified as bound structures, found by SUBFIND within 3 Mpc from the pair barycentre. We hereafter refer to the MW and M31 galaxy analogues as “primaries”. Satellites are identified as galaxies (or subhaloes in the case of DMO runs) located within the virial radius of each of the primaries.
For the central system of each FoF halo we define a galaxy stellar mass as that enclosed within a radius, the virial radius of its halo. For subhaloes, where virial radii are ill-defined, we use an average relation derived from the APOSTLE centrals: km s kpc, where is the maximum circular velocity of the system444The maximum circular velocity of a halo is a useful proxy of its virial mass. For isolated haloes, and at , the tight relation between the two may be approximated as , based on APOSTLE centrals.
3.2 The Local Group galaxy sample
Our main source of LG galaxies is the latest version of the LG catalogue of McConnachie (2012)555available from www.astro.uvic.ca/~alan/Nearby_Dwarf_Database.html, with a few updates with more recent discoveries (i.e. Crater II and Antlia II). We extend the catalogue with galaxies from the online Extragalactic Distance Database666edd.ifa.hawaii.edu (Tully et al., 2009) with reliable distance measurements, i.e. from the tip of the red giant branch or Cepheid variables methods777The majority of the distance measurements are based on Dalcanton et al. (2009), with the rest from Saha et al. (2002); Karachentsev & Kashibadze (2006); Karachentsev et al. (2007); Makarova et al. (2005).. This results in the addition of dwarf galaxies in the outskirts of the Local Group.
Our analysis uses the position, distance, V-band apparent magnitude, and half-light radius of a galaxy. We estimate stellar masses using the V-band stellar mass-to-light ratios given in table 1 of Woo et al. (2008) for individual galaxies, or use their table 2 otherwise. Some field galaxies only have B-band magnitudes, in which case we use the B-band stellar mass-to-light ratios from Woo et al. (2008).
We define the Local Group volume as that of a Mpc sphere centred at the midpoint between MW and M31888As for the simulated sample, we assume, for simplicity, that the “LG barycentre” coincides with the midpoint between MW and M31.. \textcolorblackSince is not well known for either the MW and M31, we consider as “satellites” any dwarf within kpc from the centre of either MW or M31. We use the term “Local Group field” galaxy to denote isolated galaxies (i.e, not MW or M31 satellites) within Mpc from the LG barycentre.
4 The demographics of LG-like environments
4.1 Total mass within 3 Mpc
We begin our analysis by considering the total mass of the LG-like volumes selected from DOVE . This is illustrated in Fig. 2, where we show, in the left panel, , the total mass within Mpc of each pair midpoint, versus the combined virial mass of the pair, . The vertical dashed line in Fig. 2 indicates the mass expected if the LG volumes had the same density as the average matter density of the Universe. LG environments are clearly overdense, and the overdensity increases systematically with the combined mass of the pair.
All LG-like volumes lie below the 1:2 line in this plot, indicating that there is at least as much mass around the primaries as in the primaries themselves, and often much more. This is true even for the highly isolated pairs (HighIso, identified with crosses in Fig. 2), for which, on average, . For APOSTLE volumes, which contain some MedIso and some HighIso volumes and are identified with red circles in Fig. 2, the average is .
We note that the extra mass outside the primary haloes is not expected to be distributed isotropically in the considered volume, but rather in filaments and sheet-like structures (see figure 2 of Peñarrubia & Fattahi, 2017, for a visual impression of mass distribution around APOSTLE volumes).
4.2 Haloes and subhaloes
The higher the total LG mass, the larger the number of haloes (and, hence, galaxies) that it is expected to contain. We show this explicitly in Fig. 3, where the grey squares and circles indicate the total number of haloes and subhaloes in DMO runs with maximum circular velocity, , exceeding . This velocity roughly corresponds to the minimum mass expected of haloes that host dwarfs as luminous as the “classical dSphs”, i.e. those with (e.g. Guo et al., 2010; Moster et al., 2013; Behroozi et al., 2013; Sawala et al., 2015; Garrison-Kimmel et al., 2019).
The grey squares in Fig. 3 show the tight relation between the total number of such haloes and the total mass within 3 Mpc; indeed, the rms scatter around a 1:1 linear fit is only dex. Filled red circles show the results for the AP-HYDRO runs, which also follow the 1:1 trend, but lie a factor of below the DMO results. This is because low-mass haloes (which dominate the total count) are affected by the loss of baryons driven by photoionisation and supernova feedback. This loss stunts the mass growth of the haloes, leading to lower values of than their DMO counterparts (Sawala et al., 2012, 2016a).
Finally, the triangles in Fig. 3 indicate the number of subhaloes within the virial radii of the two primaries, as a function of their host virial mass (). Here, the effects of tidal stripping tend to depress systematically the numbers below extrapolations of the : trend seen at larger masses, as well as to increase the scatter. \textcolorblackWe have explictly checked that the number of subhaloes does follow the same : trend as the primaries when using their peak maximum circular velocity, which is typically reached just before infall into the primary and is thus unaffected by tidal stripping.
4.3 Implications for the too-big-to-fail problem
The results from the previous section have implications for the “too-big-to-fail (TBTF) problem in the field” raised by Garrison-Kimmel et al. (2014b, hereafter GK14). This problem concerns the number of haloes in DMO simulations that are too massive to be consistent with any observed galaxy with robust kinematic and photometric measurements. GK14 considered systems with , where is the maximum value of attained by a system throughout its history.
The counts of such objects in a volume defined by the combination of two spheres of radius Mpc centred on each primary, but excluding their inner kpc (which are populated by satellites), is reported to be in the range - in the GK14 “ELVIS” simulations999These values are estimated from figure 6 of GK14 and can change by 1-2.. These were contrasted with the known galaxies with kinematic measurements consistent with haloes. The difference between the two is the basis for the TBTF problem in the field.
We revisit this issue in Fig. 4, where the open circles indicate the number of such haloes in the AP-DMO simulations (L2), plotted as a function of the total mass, , in the same “hollowed-out spheres” used by GK14. As expected given our discussion in the previous subsection, the total number of haloes correlates strongly with , which, in turn, correlates strongly with . As in Fig. 3, the numbers are systematically reduced in the AP-HYDRO runs, due to the effect on caused by the loss of baryons.
As the figure shows, half of all AP-HYDRO volumes have fewer than systems with and two of them have 10 or fewer, reducing substantially the number of haloes without observed counterparts (“massive failures”, in the parlance of GK14). The TBTF problem would only be manifest in volumes with total masses well in excess of , which, as we shall discuss below, are disfavoured on other grounds.
\textcolor
blackThis constraint on implies that the total virial mass of primaries should be less than (Fig. 2). This is consistent with recent estimates of based on the LG kinematics (Fattahi et al., 2016), and of the MW virial mass, (see; e.g., Callingham et al., 2019, and references therein), if M31’s virial mass does not exceed the Milky Way’s by more than a factor of , as seems likely (Peñarrubia et al., 2016).
4.4 Galaxy formation efficiency
A similar trend with total LG mass to that described for haloes in Sec. 4.2 is seen for the number of simulated galaxies above a certain value of . This is shown in Fig. 5, where we plot results for simulated galaxies with stellar mass exceeding , and . The linear trend is remarkably tight in all cases, and extends all the way to the satellites of individual primaries. This suggests that the tidal stripping effects that reduce the numbers of subhaloes above a fixed value of (i.e., triangles in Fig. 3) are less important when considering stellar mass. This is not unexpected, as stars are confined to the bottom of the subhalo potential well, where they are harder to strip than the surrounding dark matter. Subhaloes can thus lose substantial amounts of dark matter before their stellar content is significantly altered.
The main lesson from Fig. 5 is that, at least in this mass range, the “efficiency” of dwarf galaxy formation in or around the primaries of our LG simulations is remarkably similar. \textcolorblackIn other words, the number of dwarfs per unit mass is independent of whether the count is carried out over the virialized region of the primaries or over the whole LG volume. This implies that the fraction of all LG galaxies above a certain that are satellites of either the MW or M31 should be approximately the same as the fraction of the total mass within Mpc that is contained within the virial boundaries of the two primaries.
\textcolor
blackNote that this conclusion is insensitive to our adoption of the primary’s virial radius to identify “satellites”. Indeed, changing the definition from to a fixed radius of kpc, for example, would redefine primary masses and satellite numbers in similar proportion, simply shifting systems along the : line in Fig. 5. Although we do not show it here, we have explicitly checked that this is the case.
For example, there are galaxies with in the LG volume, 8 of which are satellites. The satellite fraction is thus per cent, consistent with the : mass ratios inferred from Fig. 2. For the satellite fraction is also similar, with satellites out of a total of galaxies. These numbers seem to validate our simulation result that should be roughly - times the combined virial mass of the primaries. Note that this conclusion is independent of the actual virial mass of the primaries, which are not accurately known (see, Callingham et al., 2019, and references therein).
4.5 The total mass of the Local Group
The results of the previous subsection imply that, properly calibrated, the total number of dwarfs may be used as a proxy for the total mass, subject to an appropriate normalisation. For example, the raw numbers of observed galaxies with or may be used to infer the total mass of the Local Group, using the APOSTLE galaxy mass-halo mass relation, which is responsible for the vertical normalisation of the lines in Fig. 5.
Coloured lines in Fig. 6 show the cumulative number of APOSTLE galaxies as a function of stellar mass for different values of : , , and , respectively. The line colours indicate AP-L2 (red) and AP-L1 (blue), and the shaded area is the 1- scatter expected from the normalisation uncertainty for AP-L2 runs. The observed numbers of galaxies (solid squares) with clearly favour , with a statistical uncertainty much smaller than a factor of . In particular, fitting AP-L2 results to galaxies with or yield and for each case, respectively. We emphasise that these estimates are sensitive to the APOSTLE normalisation of the galaxy formation efficiency, which may vary for other models of star formation, feedback, and reionisation.
We note that the estimated mass is sensitive to the minimum dwarf galaxy stellar mass chosen to match the curves in Fig. 6. Indeed, taken at face value, the total number of galaxies above would suggest almost a factor of two lower . This implies that either the galaxy formation efficiency varies substantially with stellar mass in and around the LG primaries, or that our current LG inventory is missing about dwarfs at least as massive as . We favour the latter explanation, not only because the former is at odds with the simulation results, but also because, as we discuss below, the evidence for incompleteness in the LG inventory below is quite compelling.
4.6 Incompleteness in the LG inventory
We begin by noting that the incompleteness suggested by our discussion above is much larger than what may be expected purely from the highly extincted “zone of avoidance” delineated by the Galactic disk. This area obscures a region of roughly degrees around the Galactic plane, which translates into per cent of the available sky. Correcting for this effect101010\textcolorblackThe correction is estimated by assuming the number density of galaxies inside the zone of avoidance is similar to the number density outside it. would only lift the number of field dwarfs by , as shown by the open symbols in Fig. 6. This is much smaller than is required to bring the number of dwarfs into agreement with what is expected for .
Compelling evidence for incompleteness comes from the observed LG galaxy stellar mass function, shown by the solid squares in Fig. 7. For , the shape of this function compares well with that of Baldry et al. (2012, suitably scaled111111The scaling shown in Fig. 7 is different from the one expected from the estimates of Sec. 4.5. This is because the APOSTLE galaxy stellar mass function, like that of the EAGLE simulation, does not match perfectly the () results. We refer the reader to () for further details on this issue.), as well as with the AP-L1 galaxy mass function (blue curve and shaded region), normalised to . Below , however, the observed LG mass function flattens and becomes much shallower than for APOSTLE . This flattening of the mass function below is a sign of incompleteness and is the reason behind the deficit of dwarf galaxies at highlighted when discussing Fig. 6.
The open circles (corresponding to observed LG field galaxies) and diamonds (satellites) show that the flattening is entirely driven by a pronounced lack of low-mass galaxies in the field: the MW and M31 satellites have a steeper faint end slope, actually consistent in shape with that of the APOSTLE mass function. \textcolorblackThis is in agreement with Newton et al. (e.g. 2018), who have argued that the luminosity function of MW satellites is almost complete above (i.e. .
The flattening in the LG stellar mass function below is thus most likely the result of incompleteness in existing catalogues, as satellites are easier to find than LG field dwarfs. Indeed, they are closer to the Sun in the case of the Milky Way, and they are concentrated in a smaller region of the sky in the case of M31, which makes them easier to survey to faint levels (e.g., Pan-Andromeda Archaeological Survey, PAndAs, Martin et al., 2006; McConnachie et al., 2009).
4.7 Missing dwarfs in the Local Group
The discussion above implies that dwarf galaxies with stellar mass greater than are missing from the current LG inventory. This prediction depends solely on assuming that the efficiency of dwarf galaxy formation is uniform throughout the volume (as found in the simulations) and that the inventory of the most luminous dwarfs is complete. Or, in other words, these are the number of missing dwarfs in the field required to make the satellite fraction of dwarfs the same as that of galaxies with .
Where are these missing galaxies located? Naively, one might anticipate that they are predominantly near the outer edge of the Mpc sphere, where much of the volume resides. The simulations, however, suggest otherwise. We show this in Fig. 8, where the blue curve in the top panel shows the average cumulative radial distribution of galaxies more massive than (plus scatter) in AP-L1 volumes, measured from their barycentre, after normalising them to a common mass of ; the bottom panel shows the results for simulated galaxies more massive than .
According to the APOSTLE results, nearly half of all galaxies are expected to be within the inner Mpc (i.e., in the inner per cent of the full volume), and per cent are expected to be within Mpc, occupying only the inner per cent of the volume. As anticipated by our earlier discussion on galaxy formation efficiency, Fig. 9 shows that the cumulative radial distribution of galaxies neatly tracks the distribution of mass within the APOSTLE volumes.
Indeed, most of the “missing dwarfs” are expected to be within Mpc of the LG barycentre, mainly clustered in the outskirts of the haloes of the two primaries. This is illustrated in Fig. 10, which shows, in an Aitoff all-sky projection and viewed from the MW perspective, the location of all AP-L1 field galaxies with (all AP-L1 volumes combined; see small blue circles). The coordinate system is defined so that the M31-analogues are located in the same sky position as in observations. Observed field dwarfs are presented as black circles, and MW and M31 satellites as green and red ones, respectively. Interestingly, APOSTLE predicts that (missing) field dwarf galaxies are not randomly located on the sky, but more likely towards M31’s direction121212\textcolorblackThis is consistent with observations; McConnachie (2012) points out that known field dwarf galaxies in the LG are located preferentially towards M31 in the sky., with some of them being closer than 1 Mpc to the MW (open circles).
Why have these dwarfs been missed? The most likely explanation is that they are extended, low surface brightness systems that do not stand out in panoramic surveys. This is easily appreciated in Fig. 11, where we show the -band luminosity and stellar half-mass radius of all LG dwarfs, if available. MW and M31 satellites are shown by open circles, whereas LG field dwarfs are indicated by filled squares. Dashed lines indicate constant effective surface brightness, each separated by one dex, and starting, at the top, at kpc2 (i.e., mV/arcsec2).
Note that this is already below the effective surface brightness of “ultra-diffuse” galaxies (UDGs) such as the Coma cluster Dragonfly galaxies (DF, shown for reference with starred green symbols, van Dokkum et al., 2015). Clearly, many observed LG galaxies are extremely low surface brightness systems far fainter than typical UDGs. Such LG galaxies are typically resolved into individual stars and their discovery relies on special methods based on searching for overdensities after filtering stars with isochrone masks (see, e.g., Koposov et al., 2008).
The extreme LSB regime probed by LG dwarfs reaches, in the case of And XIX or Crater II, approximately mV/arcsec2. Indeed, per cent of all known LG satellites with have effective surface brightness below the Coma UDGs. By contrast, only one LG field galaxy, Eri II, has an effective surface brightness below kpc2. Eri II was discovered relatively recently and is located just outside 300 kpc from the MW (Li et al., 2017).
\textcolor
blackFig. 11 also suggests that, in the range , the properties of the missing galaxies should be similar to those of M31 satellites such as And XIV, And XIX, or And XXIII, which were identified in the PAndAS survey at a distance of kpc (We emphasize that these are not “ultra-faint” dwarfs, but, rather, systems with luminosities comparable to that of “classical” dSphs). Putting all these results together, we conclude that a PAndAS-like survey of the outskirts of the M31-M33 system, if deep enough to detect systems like the aforementioned M31 satellites out to - Mpc, should be able to net the majority of the isolated dwarfs missing from our current inventory of the Local Group. We note that at a distance of Mpc, even stars as bright as blue horizontal branch stars would have magnitudes .
5 Summary
We have analysed the environment of galaxy pairs with mass and kinematics resembling the Milky Way and Andromeda galaxies in the DOVE N-body simulation of a large cosmological volume. We find that the total mass within Mpc from the pair midpoint (which we define as the Local Group boundary) is typically times the combined virial mass of the pair. In general, within that volume there is always at least as much mass within the virial boundaries of the primaries as in their surroundings.
Cosmological hydrodynamical re-simulations of many of those pairs (from the APOSTLE Project) show that the dwarf galaxy formation efficiency, defined as the total number of dwarfs above a certain stellar mass per unit mass, is uniform throughout the volume and thus similar in and around the primaries. This implies that the total number of dwarfs within Mpc, or within the virial volume of each primary, depends solely on the total mass of that volume.
These two results indicate that satellites should make up about of all dwarf galaxies in the Local Group. Although this prediction is approximately correct for observed dwarfs more massive than , the agreement becomes gradually worse for less massive galaxies: satellites make up more than per cent of those with . We interpret this as a result of incompleteness in existing LG dwarf galaxy catalogues, and predict that there are dwarfs at least as massive as the Draco dSph (i.e., ) missing from our current LG inventory.
Our interpretation is supported by (i) the faint-end shape of the LG field galaxy luminosity function, which, unlike that of satellites, becomes abruptly shallow below , and by (ii) the lack of LG field galaxies with effective surface brightness below /kpc2.
The simulations indicate that the missing dwarfs should cluster tightly around the two primaries. Indeed, most of them should be within Mpc from the LG barycentre. Additionally, a notable fraction is expected to lie around M31 in the sky. These are strong predictions that might be possible to verify with upcoming wide-field deep imaging surveys, such as that planned by the Large Synoptic Survey Telescope or \textcolorblackthe Canada-France Imaging Survey, if existing methods for detecting dwarfs using ground-based imaging can be improved enough to target such objects, or if planned wide-field imaging surveys from space (such as that envisioned by the MESSIER or CASTOR missions131313http://orca.phys.uvic.ca/~pcote/castor/, Valls-Gabaud & MESSIER Collaboration, 2017; Côte et al., 2012) come to fruition.
If proven correct, our results have strong implications for a number of current discussions regarding perceived failures of the CDM paradigm in the Local Group. Issues such as the “too-big-to-fail” problem in the field (Garrison-Kimmel et al., 2014b), where the kinematics of observed dwarfs are used to infer their halo masses, whose abundance is, in turn, compared with simulations, can be singularly affected. In particular, if the total mass of the Local Group is about , the total number of massive haloes without observed counterparts is not significant, especially when considering the reduction in mass that low-mass haloes experience because of the loss of baryons as a result of reionisation and feedback (Sawala et al., 2013; Sawala et al., 2015).
Finally, the fraction of known dwarfs in the Local Group volume with kinematic measurements is relatively small (only per cent of LG field dwarfs have published velocity dispersion), and our results raise the possibility that many existing dwarfs may actually be missing from current catalogues. As the Local Group inventory of dwarf galaxies becomes increasingly complete, it is likely that our understanding of dwarf galaxy formation in our immediate cosmic neighbourhood, and its cosmological significance, will become clearer.
6 Acknowledgements
We are thankful to Matthieu Schaller, Kyle Oman and Till Sawala for reviewing the manuscript, as well as Nicolas Martin for fruitful discussions. We thank the anonymous referee for their comments. AF is supported by a EU COFUND/Durham Junior Research Fellowship (under EU grant agreement no. 609412) and the STFC grant ST/P000541/1. CSF acknowledges support by the European Research Council (ERC) through Advanced Investigator grant DMIDAS (GA 786910).
This work greatly benefited from the DiRAC Data Centric system at Durham University, operated by the ICC on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BIS National E-infrastructure capital grant ST/K00042X/1, STFC capital grant ST/H008519/1, and STFC DiRAC Operations grant ST/K003267/1 and Durham University. DiRAC is part of the National E-Infrastructure. This work party used the computing and storage hardware provided by WestGrid (www.westgrid.ca) and Compute Canada Calcul Canada (www.computecanada.ca), as well as UK Research Data Facility (http://www.archer.ac.uk/documentation/rdf-guide).
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