Detection of a Large Population of Ultra Diffuse Galaxies in Massive Galaxy Clusters: Abell S1063 and Abell 2744
Myung Gyoon Lee, Jisu Kang, Jeong Hwan Lee, and In Sung Jang

TL;DR
This study identifies and characterizes a large population of ultra diffuse galaxies in two massive galaxy clusters, revealing their properties, distribution, and potential origins, and establishing a relation between UDG numbers and host mass.
Contribution
It presents the first extensive detection and analysis of UDGs in Abell S1063 and Abell 2744, including their properties and a new scaling relation with host cluster mass.
Findings
Detected 87 UDGs in two galaxy clusters.
Most UDGs have stellar masses between 10^8 and 10^9 solar masses.
Number of UDGs scales with host mass as M^{1.05}.
Abstract
We present the detection of a large population of ultra diffuse galaxies (UDGs) in two massive galaxy clusters, Abell S1063 at and Abell 2744 at , based on F814W and F105W images in the Hubble Frontier Fields Program. We find 47 and 40 UDGs in Abell S1063 and Abell 2744, respectively. Color-magnitude diagrams of the UDGs show that they are mostly located at the faint end of the red sequence. From the comparison with simple stellar population models, we estimate their stellar mass to range from to . Radial number density profiles of the UDGs show a turnover or a flattening in the central region at kpc. We estimate the total masses of the UDGs using the galaxy scaling relations. A majority of the UDGs have total masses, to , and only a few of them have total masses, to…
| ID | R.A. | Dec. | aaAssuming a distance modulus of . | n | b/a | bb |
cc = assuming a redshift .
(This table is available in its entirety in machine-readable form.) |
|||
|---|---|---|---|---|---|---|---|---|---|---|
| (J2000) | (J2000) | [kpc] | [mag arcsec-2 ] | [mag] | [mag] | [kpc] | [mag arcsec-2 ] | |||
| AS1063_UDG001 | 342.16211 | -44.54686 | ||||||||
| AS1063_UDG002 | 342.16321 | -44.54173 | ||||||||
| AS1063_UDG003 | 342.16568 | -44.52137 | ||||||||
| AS1063_UDG004 | 342.16678 | -44.52966 | ||||||||
| AS1063_UDG005 | 342.16861 | -44.51286 | ||||||||
| AS1063_UDG006 | 342.16876 | -44.52851 | ||||||||
| AS1063_UDG007 | 342.17020 | -44.54548 | ||||||||
| AS1063_UDG008 | 342.17471 | -44.52490 | ||||||||
| AS1063_UDG009 | 342.17581 | -44.54522 | ||||||||
| AS1063_UDG010 | 342.18430 | -44.51709 |
| ID | R.A. | Dec. | aaAssuming a distance modulus of . | n | b/a | bb |
cc = assuming a redshift .
(This table is available in its entirety in machine-readable form.) |
|||
|---|---|---|---|---|---|---|---|---|---|---|
| (J2000) | (J2000) | [kpc] | [mag arcsec-2 ] | [mag] | [mag] | [kpc] | [mag arcsec-2 ] | |||
| AS1063_LSBdw001 | 342.15747 | -44.54634 | ||||||||
| AS1063_LSBdw002 | 342.15967 | -44.53279 | ||||||||
| AS1063_LSBdw003 | 342.16046 | -44.54249 | ||||||||
| AS1063_LSBdw004 | 342.16068 | -44.53046 | ||||||||
| AS1063_LSBdw005 | 342.16150 | -44.53435 | ||||||||
| AS1063_LSBdw006 | 342.16214 | -44.54063 | ||||||||
| AS1063_LSBdw007 | 342.16437 | -44.54641 | ||||||||
| AS1063_LSBdw008 | 342.16486 | -44.51730 | ||||||||
| AS1063_LSBdw009 | 342.16562 | -44.51790 | ||||||||
| AS1063_LSBdw010 | 342.16583 | -44.53659 |
| ID | R.A. | Dec. | aaAssuming a distance modulus of . | n | b/a | bb |
cc = assuming a redshift .
(This table is available in its entirety in machine-readable form.) |
|||
|---|---|---|---|---|---|---|---|---|---|---|
| (J2000) | (J2000) | [kpc] | [mag arcsec-2 ] | [mag] | [mag] | [kpc] | [mag arcsec-2 ] | |||
| A2744_UDG001 | 3.46229 | -30.36563 | ||||||||
| A2744_UDG002 | 3.46564 | -30.38844 | ||||||||
| A2744_UDG003 | 3.46573 | -30.38783 | ||||||||
| A2744_UDG004 | 3.46982 | -30.38590 | ||||||||
| A2744_UDG005 | 3.47075 | -30.39297 | ||||||||
| A2744_UDG006 | 3.47095 | -30.36673 | ||||||||
| A2744_UDG007 | 3.47105 | -30.37178 | ||||||||
| A2744_UDG008 | 3.47224 | -30.38179 | ||||||||
| A2744_UDG009 | 3.47296 | -30.37895 | ||||||||
| A2744_UDG010 | 3.48256 | -30.39862 |
| ID | R.A. | Dec. | aaAssuming a distance modulus of . | n | b/a | bb |
cc = assuming a redshift .
(This table is available in its entirety in machine-readable form.) |
|||
|---|---|---|---|---|---|---|---|---|---|---|
| (J2000) | (J2000) | [kpc] | [mag arcsec-2 ] | [mag] | [mag] | [kpc] | [mag arcsec-2 ] | |||
| A2744_LSBdw001 | 3.45478 | -30.37182 | ||||||||
| A2744_LSBdw002 | 3.45811 | -30.36477 | ||||||||
| A2744_LSBdw003 | 3.45917 | -30.38811 | ||||||||
| A2744_LSBdw004 | 3.45989 | -30.37544 | ||||||||
| A2744_LSBdw005 | 3.46269 | -30.37417 | ||||||||
| A2744_LSBdw006 | 3.46637 | -30.39392 | ||||||||
| A2744_LSBdw007 | 3.46743 | -30.36893 | ||||||||
| A2744_LSBdw008 | 3.47124 | -30.37027 | ||||||||
| A2744_LSBdw009 | 3.47139 | -30.36647 | ||||||||
| A2744_LSBdw010 | 3.47548 | -30.36458 |
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Detection of a Large Population of Ultra Diffuse Galaxies in
Massive Galaxy Clusters: Abell S1063 and Abell 2744
Myung Gyoon Lee11affiliationmark: , Jisu Kang11affiliationmark: , Jeong Hwan Lee11affiliationmark: , and In Sung Jang22affiliationmark:
1Astronomy Program, Department of Physics and Astronomy, Seoul National University, Gwanak-gu, Seoul 08826, Korea
2Leibniz-Institut für Astrophysik Potsdam (AIP), An der Sternwarte 16, D-14482, Potsdam, Germany
Abstract
We present the detection of a large population of ultra diffuse galaxies (UDGs) in two massive galaxy clusters, Abell S1063 at and Abell 2744 at , based on F814W and F105W images in the Hubble Frontier Fields Program. We find 47 and 40 UDGs in Abell S1063 and Abell 2744, respectively. Color-magnitude diagrams of the UDGs show that they are mostly located at the faint end of the red sequence. From the comparison with simple stellar population models, we estimate their stellar mass to range from to . Radial number density profiles of the UDGs show a turnover or a flattening in the central region at kpc. We estimate the total masses of the UDGs using the galaxy scaling relations. A majority of the UDGs have total masses, to , and only a few of them have total masses, to . The total number of UDGs within the virial radius is estimated to be N(UDG) for Abell S1063, and N(UDG) for Abell 2744. Combining these results with data in the literature, we fit the relation between the total numbers of UDGs and the masses of their host systems for with a power law, N(UDG) . These results suggest that a majority of the UDGs have a dwarf galaxy origin, while only a small number of the UDGs are massive galaxies that failed to form a normal population of stars.
Subject headings:
galaxies: clusters: individual (Abell S1063, Abell 2744) — galaxies: formation — galaxies: dwarf
1. INTRODUCTION
Ultra Diffuse Galaxies (UDGs) are a mysterious type of galaxies with low surface brightness (LSB), which have larger sizes and fainter surface brightness than normal galaxies with similar luminosity. Since the recent revival of the UDGs in Coma (van Dokkum et al., 2015; Koda et al., 2015), the number of the known UDGs keeps increasing. The UDGs are found from the low-density regions to the high density environments such as galaxy clusters (Mihos et al., 2015; Yagi et al., 2016; Smith Castelli et al., 2016; van der Burg et al., 2016; Martin et al., 2016; Merritt et al., 2016; Bellazzini et al., 2017; Román & Trujillo, 2017a, b).
The scenarios suggested to explain the origin of the UDGs can be divided roughly into two types. First, UDGs are massive galaxies that failed to form a normal amount of stars given their dynamical mass (van Dokkum et al., 2015; Koda et al., 2015; van Dokkum et al., 2016). Second, they are dwarf galaxies that were inflated due to some physical (dynamical or thermal) processes (Yozin & Bekki, 2015; Amorisco & Loeb, 2016; Beasley et al., 2016; Peng & Lim, 2016; Di Cintio et al., 2017). While observational evidence is being accumulated, the nature of UDGs is not yet clear and whether the UDGs are failed galaxies or inflated dwarf galaxies is still debated (Román & Trujillo, 2017b; Zaritsky, 2017).
In this study, we search for UDGs in two massive galaxy clusters, Abell S1063 and Abell 2744, which are more massive than Coma. Because they are massive clusters, it is expected that they should contain a large number of UDGs and that these UDGs may be a good sample to reveal the nature of the UDGs. They are part of the target galaxy clusters in the Hubble Frontier Fields (HFF) Program, for which deep HST images are available (Lotz et al., 2017). Abell S1063 and Abell 2744 are located at the redshift, and , respectively, so their HST fields cover a relatively large fraction of each cluster. Thus these two clusters are excellent targets for the study of UDGs. During this study, Janssens et al. (2017) presented the discovery of UDGs in Abell 2744, using the HFF images.
In this study we adopt the cosmological parameters, km s*-1* Mpc*-1* , , and . For these parameters, luminosity distance moduli of Abell S1063 and Abell 2744 are ( Mpc) and 40.94 ( Mpc), and angular diameter distances are 978 Mpc and 901 Mpc, respectively. Corresponding image scales of the clusters are 4.744 kpc arcsec*-1* and 4.370 kpc arcsec*-1*, respectively.
The virial radius and mass of Abell S1063 are Mpc and (Zenteno et al., 2016), respectively. Abell 2744 has a complex structure so that it is not easy to determine its mass. We use the virial radius and mass of the central ’ subcluster (called as the southern core) covered by the HFF images given by Boschin et al. (2006): Mpc and . Foreground reddening values toward these clusters (Schlafly & Finkbeiner, 2011) are negligible: for Abell S1063 and for Abell 2744.
2. DATA AND DATA REDUCTION
2.1. Data
We used ACS/F814W() and WFC3/F105W() images for Abell S1063 and Abell 2744 in the HFF (Lotz et al., 2017). The effective wavelengths of the F814W and F105W filters for the redshifts of Abell S1063 and Abell 2744 (6220 Å and 8030 Å) correspond approximately to SDSS and Cousins (or SDSS ) in the rest-frame, respectively. This combination of filters is efficient for the search of old stellar systems like UDGs and globular clusters in these galaxy clusters (Lee & Jang, 2016). The HFF provides data for the central field of each cluster and the parallel fields at east of Abell S1063 and at west of Abell 2744. Thus the parallel fields are close to, but still within the virial radius of each cluster. We prepared the deep images drizzled with a pixel scale of . The total exposure times are: 116,169s and 67,341s for Abell S1063, 106,998s and 66,141s for the Abell S1063 parallel field, 104,270s and 68,952s for Abell 2744, and 107,766s and 67,329s for the Abell 2744 parallel field. Figure 1 (Upper panels) displays color images of the HST fields for Abell S1063 and Abell 2744.
The full width at half-maximum (FWHM) values of the point sources in the images are 3.0 pixels (). These FWHM values correspond to 430 pc for Abell S1063 and 390 pc for Abell 2744. Therefore the sources larger than these values can be detected as extended sources in the images of the galaxy clusters. As a reference for the background control, we used the data for the Hubble Extreme Deep Field (HXDF) (RA(2000)= 3h 32m 38s.8, Dec(2000)= –27∘ ) provided by Illingworth et al. (2013), as in the study of globular clusters, ultracompact dwarfs, and dwarf galaxies in Abell 2744 by Lee & Jang (2016).
2.2. Selection of UDGs
We searched for UDGs in the images of the target fields, considering mainly the effective radii and surface brightness, and secondarily the colors, of the extended sources. Our search procedure is similar to those in Yagi et al. (2016); van der Burg et al. (2016), which consists mainly of two steps: the first based on the application of SExtractor for source detection (Bertin & Arnouts, 1996), and the second based on the application of GALFIT for parameter measurements (Peng et al., 2010).
First, we ran SExtractor as a dual mode to detect extended sources and derive their photometry in the images. We used only the sources detected in both F814W images and F105W images. F814W images were used as a reference image for the dual mode photometry so that structural parameters of the detected sources are based on the F814W images. We used SExtractor parameter values: DETECT_MINAREA = 20 pixels, SEEING_FWHM , DEBLEND_NTHRESH = 32, DEBLEND_MINCONT = 0.01, BACKPHOTO_TYPE = LOCAL and BACK_SIZE = 32 pixels. We chose top-hat filters which are optimized for the detection of extended LSB objects, with a low detection threshold, DETECT_THRESH = . For photometry of the sources we used PHOT_AUTOPARAMS (Kron factor, minimum radius) = (2.5, 3.5) for magnitudes, and (2.5, 1.75) for colors. We calibrated the instrumental magnitudes of these sources to the AB system, following the STScI webpage111http://www.stsci.edu/hst/acs/analysis/zeropoints, http://www.stsci.edu/hst/wfc3/phot_zp_lbn. Note that Lee & Jang (2016) adopted Vega magnitudes for their photometry of the sources in Abell 2744. AB magnitudes for F814W are 0.424 mag fainter than Vega magnitudes: F814W(AB) = F814W(Vega). We are using AB magnitudes in this study for comparison with other studies of the UDGs.
Slightly different parameters (e.g., major axis effective radii or circularized effective radii, surface brightness at the center or at effective radius) and values were used for the selection of UDGs in the literature, as summarized in Yagi et al. (2016) (see their Table 5). We selected initial UDG candidates from the detected sources, using the generous selection criteria as follows: stellarity (CLASS_STAR) , circularized effective radius (FLUX_RADIUS) kpc, central surface brightness (MU_MAX) mag arcsec*-2* , elongation parameter ( where and are major and minor axes of the sources) , F814W–F105W , and FLAGS . Here we adopted a minimum value = 1 kpc, which is smaller than the UDG limits used in the literature. The effective radii and central surface brightness values of the sources provided by SExtractor show good correlations with the values provided by GALFIT, but they show some differences, especially for multiple sources. Thus SExtractor values are used only for the initial selection of the UDG candidate. The numbers of these candidates are 521 and 304 for Abell S1063 and its parallel field, and 352 and 295 for Abell 2744 and its parallel field, respectively.
Second, we ran GALFIT to the images of the sources in the initial list of UDG candidates, deriving effective radii and surface brightness at the effective radii of the sources. Before fitting of the UDG candidate images, we masked out neighboring sources around the target UDGs using the list of the sources detected with SExtractor and the segmentation maps. We derived point spread functions (PSFs) of the point sources in the images using PSFEx (Bertin, 2011), which are used as an input for GALFIT measurements. We performed the fitting of the surface brightness profiles with Sérsic index free. Circularized effective radii () were calculated from the major axis effective radii () and elongation parameter, with . We used these GALFIT values as the final values for the UDGs.
Finally we inspected the images of these galaxies, removing sources with artifacts, multiple sources, sources close to the frame edges, gravitational lens arcs, and bright galaxies. Most of the finally selected UDGs show smooth structures, but some of them show substructures such as nuclei and disk features.
For the comparison of the UDGs at different redshifts, we transform the measured surface brightness at to the value at the rest frame (). The mean effective surface brightness for the redshift () is given in terms of the evolutionary correction and the -correction , so that the absolute mean effective surface brightness can be derived as follows ((Eq) 13 in Graham & Driver (2005)):
[TABLE]
We derived and of the sources using GALAXEV for simple stellar populations with ages of 12 Gyrs (Bruzual & Charlot, 2003). The adopted values of the parameters for GALAXEV are as follows: the Chabrier stellar initial mass function (Chabrier, 2003), [Fe/H] , and the age of 8.3 Gyrs for Abell S1063 and 8.7 Gyrs for Abell 2744. The values of and in the F814W band are –0.36 and +0.11 for Abell S1063, and –0.32 and +0.09 for Abell 2744, respectively. If we adopt the age of 10 Gyrs for , the ages of Abell S1063 and Abell 2744 will be 6.3 Gyrs and 6.7 Gyrs, respectively, and the values of will be +0.06 for Abell S1063, and +0.05 for Abell 2744. We converted measured F814W magnitudes to SDSS -band using the values given by GALAXEV.
Figure 2 displays versus of the galaxies in Abell S1063, Abell 2744, the parallel fields, and the HXDF. The parameters for the galaxies in the HXDF were derived for the redshifts of Abell S1063 and Abell 2744, respectively. Most of the galaxies detected in the HXDF are much more distant than the two clusters. Thus the parameters for the HXDF are useful only as a reference. We also plotted the data for the Coma UDGs (Yagi et al., 2016) for comparison.
As the final UDGs (plotted by large red starlets), we selected the galaxies with kpc, mag arcsec*-2* , and , following the selection criteria adopted for the nearby galaxy clusters in van der Burg et al. (2016). van der Burg et al. (2016) adopted a criterion, mag arcsec*-2* for the nearby galaxies at the mean redshift of , which corresponds to mag arcsec*-2* for . These galaxies are often called Milky Way (MW)-sized UDGs (Note that a slightly smaller limit, kpc (or kpc) is sometimes used for selecting the MW-sized UDGs in the literature (van Dokkum et al., 2015; Román & Trujillo, 2017b)). Most of the UDGs in Abell S1063 and Abell 2744 have kpc and mag arcsec*-2* . In the figure, blue circles represent the bright normal galaxies with high central surface brightness mag arcsec*-2* .
In addition, we selected the LSB dwarf galaxies with the same surface brightness range as, but smaller than, the UDGs: kpc and mag arcsec*-2* (plotted by small red starlets). Similar galaxies were included in the sample of Coma UDGs in the studies of Koda et al. (2015); Yagi et al. (2016). Yagi et al. (2016) called these galaxies as Subaru UDGs to distinguish from the MW-sized UDGs. The sample of LSB dwarf galaxies is used for the comparison with UDGs in our target clusters. The locations of the new UDGs and LSB dwarfs in Abell S1063 and Abell 2744 in Figure 2 are consistent with those of the Coma UDGs with higher surface brightness and larger sizes.
We marked, with yellow triangles in the figure, the galaxies that were included as the initial UDG candidates based on the SExtractor criteria, but were excluded later according to the GALFIT criteria. They are mostly located between the domain of the UDG plus LSB dwarfs and the domain of the bright galaxies. We call them as non-UDGs hereafter.
Figure 1 (Lower panels) displays zoom-in images of two UDGs and one LSB dwarf in each cluster. The left, middle, and right columns for each cluster show F814W images, GALFIT model images, and the residual images after GALFIT model subtraction, respectively. The numbers in the middle panels show the values of the fitting parameters given by GALFIT.
3. RESULTS
3.1. Color-Magnitude Diagrams of the UDGs
In Figure 3 we display the color-magnitude diagrams (CMDs) of the UDG candidates as well as other galaxies in Abell S1063, Abell 2744, the parallel fields, and the HXDF.
Following features are noted in this figure. First, both clusters show a strong red sequence, while the HXDF does not. Second, the red sequences in the parallel field are much weaker than those in the cluster field, showing that the contributions due to background galaxies are larger in the parallel fields. Third, no UDG candidates are found in the HXDF, while a small number of UDG candidates are seen in the parallel fields. This indicates that the UDG candicates in the parallel fields are cluster memebers. In addition, a much more number of LSB dwarf candidates are seen in the parallel fields than in the HXDF, showing that most of them are cluster members. Fourth, the UDGs and LSB dwarfs are located at the faint end of the red sequence, showing that they are mainly made of old stars. A small number of the faint UDGs and LSB dwarfs in both clusters are bluer than the red sequence, indicating that they have some young stellar populations. Fifth, the UDGs are fainter than the bright normal galaxies in the red sequence, and the F814W magnitude of the UDGs ranges from 24.0 to 28.0 mag.
Thus most of the UDGs and LSB dwarfs are old stellar systems, while some show a recent activity of star formation. It is noted that a few UDG-like galaxies in the cluster and parallel fields are redder than the red sequence (larger gray starlets). Similarly a small number of LSB dwarfs are also redder than the red sequence (small gray starlets). They are probably background sources. Therefore we excluded these galaxies in the final list of UDGs and LSB dwarfs.
3.2. The Census of the UDGs
Finally we select 47 UDGs in Abell S1063 (35 UDGs in the cluster and 12 UDGs in the parallel field) and 40 UDGs in Abell 2744 (27 UDGs in the cluster and 13 UDGs in the parallel field). If we adopt the age of 10 Gyrs for , these numbers will be slightly changed: 53 UDGs in Abell S1063 (40 UDGs in the cluster and 13 UDGs in the parallel field) and 42 UDGs in Abell 2744 (29 UDGs in the cluster and 13 UDGs in the parallel field). Thus the numbers of UDGs in these two clusters are similar, which is consistent with the expectation based on the similarity in the cluster mass. We use these UDGs for the following analysis.
Also we select 96 and 47 LSB dwarf candidates in Abell S1063 and its parallel field (143 in total), and 62 and 31 such sources in Abell 2744 and its parallel field (93 in total), respectively. On the other hand, we see 6 and 4 LSB dwarf-like galaxies in the HXDF for the redshifts of Abell S1063 and Abell 2744, respectively. The area ratios of the cluster and parallel fields with respect to that of the HXDF are 0.990 for Abell S1063, 0.989 for its parallel field, 1.288 for Abell 2744, and 0.986 for its parallel field, respectively. Thus the net numbers of the LSB dwarf galaxies in Abell S1063 and its parallel field are, respectively, 90 and 41 (131 in total), subtracting the contribution of the background sources based on the HXDF. Similarly we derive the net numbers of the LSB dwarf galaxies in Abell 2744 and its parallel field are, respectively, 57 and 26 (83 in total).
Tables 1 and 2 list the catalogs of UDGs and LSB dwarfs in Abell S1063, and Tables 3 and 4 list the catalogs of UDGs and LSB dwarfs in Abell 2744, respectively. In the tables we include the following information: IDs, RA(J2000), Dec.(J2000), major axis effective radii, effective surface brightness, F814W magnitudes, (F814W–F105W) colors, Sérsic index , elongation parameter, circularized effective radii, and absolute mean effective surface brightness of the galaxies.
3.3. Structural Parameters of the UDGs
We compare structural parameters of the UDGs in Abell S1063 and Abell 2744 with those in Coma (Yagi et al., 2016). In Figure 4 we plotted the Sérsic index versus of the UDGs (large red starlets) and LSB dwarfs (small red starlets) in Abell S1063 and Abell 2744 and their parallel fields and the Coma UDGs (gray dots). We also plotted the bright normal galaxies in the red sequence of Abell S1063 and Abell 2744 (blue circles) and the non-UDGs (yellow triangles).
The bright red sequence galaxies are mostly the members of each cluster and can be considered to be simple stellar populations of old age. In the right panels of the figure we show the histograms of Sérsic index for the UDGs in Abell S1063 and Abell 2744 in comparison with those of the Coma UDGs. We selected only the MW-sized UDGs in the Coma UDG sample for comparison of the histograms.
It is seen that the values of for most UDGs in Abell S1063 and Abell 2744 are smaller than three, while some of the bright red sequence galaxies have . The distributions of in these two clusters are similar to those of the MW-sized UDGs in Coma. The mean values, for Abell S1063 and for Abell 2744, are similar to that of the Coma UDGs, . Thus the radial surface brightness profiles of the UDGs in Abell S1063 and Abell 2744 are mostly fit by an exponential profile, similar to the case of UDGs in Coma and other nearby galaxy clusters (Yagi et al., 2016; Román & Trujillo, 2017b; van der Burg et al., 2016).
Figure 5 displays the elongation parameter versus (left and middle panels), of the same galaxies as before, and the histograms of elongation parameters for the same galaxies as in Figure 4. Most of the UDGs in Abell S1063 and Abell 2744 have the elongation parameters larger than 0.4. The mean values of the elongation parameters for the UDGs in Abell S1063 and Abell 2744 are and , which are similar to the value of the MW-sized Coma UDGs, . Structural parameters ( and ) of the LSB dwarfs in Abell S1063 and Abell 2744 show similar features to those of the UDGs.
3.4. Stellar Masses of the UDGs
In Figure 6 we plotted the effective radii versus magnitudes of the galaxies in the same fields as before. We derived a relation between the stellar mass and magnitudes for simple stellar populations, for the same GALAXEV parameters as described in Section 2. We overlayed the values for corresponding stellar masses in the upper axis of each panel. It shows that the absolute magnitudes of most UDGs in Abell S1063 and Abell 2744 range from to mag, and similarly their stellar mass varies from to . The LSB dwarfs in Abell S1063 and Abell 2744 cover lower ranges than the UDGs: to mag, and to . The slanted solid lines represent the varying surface brightness, = 23, 24, 25, 26, and 27 mag arcsec*-2* (from left to right). For given surface brightness, the larger the UDGs are, the brighter (more massive) they are. The stellar masses of the UDGs are much lower than those of the bright red sequence galaxies.
In the right panels of Figure 6 we plotted the histograms of effective radii for Abell S1063 and Abell 2744 in comparison with that of the Coma UDGs (Yagi et al., 2016). The mean values, kpc for Abell S1063 and kpc for Abell 2744, are similar to that of the MW-sized UDGs in Coma, kpc. The histograms of the combined sample of UDGs and LSB dwarfs are similar to those of the large UDGs in Coma.
3.5. Spatial Distributions of the UDGs
Figure 7 (left panels) displays the spatial distribution of the UDGs, LSB dwarf galaxies, and bright red sequence galaxies in Abell S1063 and Abell 2744 fields. The circles in the left panels represent the boundaries of the radial bins used for deriving radial number density profiles. We excluded the central circular region in the UDG survey, because of high surface brightness of the central galaxy.
We derived the radial number density profiles of the galaxies, subtracting the background contribution using the data for the HXDF. As the center for the radial profiles we adopted the center of the cD galaxy in Abell S1063, and the center of CN-1 in Abell 2744. Note that Lee & Jang (2016) adopted the center of CN-2 at the south-east of CN-1, which is the brightest galaxy in the HST field of Abell 2744, for deriving radial number density profiles of the point sources (mostly globular clusters and ultra compact dwarfs). In this study of UDGs, we chose CN-1, which is closer to the center of the southern core in Abell 2744. We plotted the results in the right panels of the figure.
We estimated the completeness of our UDG and LSB dwarf detection using a mock galaxy experiment. We generated images of mock galaxies with structural parameters similar to those of the UDGs and LSB dwarfs onto the original images, using IRAF/ARTDATA. Then we repeated the same search procedure as used for UDG and LSB dwarf detection. Finally we derived a radial profile of completeness (recovery fraction) as a function of clustercentric distance for each cluster, as shown in Figure 8 for two magnitude ranges: and mag arcsec*-2* . We corrected the radial number density profiles of the sources for completeness using this result.
A few interesting features are distinguishable in Figure 7. First, the radial number density profiles of the UDGs, LSB dwarfs, and bright red sequence galaxies in both clusters keep increasing as the clustercentric distance decreases in the outer region at 100 kpc Mpc. This shows that these galaxies are mostly indeed the members of each cluster. The slopes of the UDGs and LSB dwarfs are flatter than that of the bright galaxies in Abell S1063, while they are similar in Abell 2744. Second, the radial number density profiles of the UDGs and LSB dwarfs in both clusters show a drop or a flattening in the central region at kpc, while that of the bright galaxies keeps increasing in the central region. Thus the relative number density of the UDGs plus LSB dwarfs with respect to that of the bright galaxies is relatively lower in the central region than in the outer region. Third, spatial distributions of the UDGs are more inhomogeneous than those of the bright red sequence galaxies. This is a very interesting feature, which may be related with the origin of the UDGs. Inhomogeneous distributions of the UDGs indicate that UDGs are relatively new comers that came from outside the galaxy clusters so their distribution is not yet dynamically virialized. Further studies with a larger sample of galaxy clusters or with simulations of UDGs are needed to investigate this issue.
4. DISCUSSION
4.1. Total Masses of the UDGs
The dynamical mass of the UDGs provides a critical information to understand the origin of the UDGs. However, it is difficult to determine the dynamical mass of the LSB galaxies like UDGs so dynamical estimates of the UDG mass are available only for a few UDGs: Dragonfly 44 in Coma (van Dokkum et al., 2016), VCC 1287 in Virgo (Beasley et al., 2016), and UGC 2162, the nearest UDG in the M77 group (Trujillo et al., 2017).
Zaritsky et al. (2008) suggested a new method to estimate the total mass of stellar systems without the kinematic measurements, which is based on the fundamental manifold. A kinematic term of a stellar system ( where is the line-of-sight velocity dispersion and is the rotational velocity) can be estimated, if the values of surface brightness and effective radii are known in the fundamental manifold.
We estimate the total mass of the UDGs in Abell S1063 and Abell 2744, following this method that Zaritsky (2017) applied to the MW-sized UDGs in Coma (van Dokkum et al., 2015) and the dwarf galaxies in Fornax clusters (Muñoz et al., 2015). The galaxy scaling relations are given in terms of , the mass-to-light ratio, , and the mean surface brightness, , within the effective radius, (Zaritsky et al., 2008; Zaritsky, 2017):
[TABLE]
and
[TABLE]
Combining these two equations leads to Thus we can derive the values of and from and . Here we assume and for velocity dispersion-supported systems.
Then we estimate the enclosed mass within the 3D half-light radius , using the formula for velocity dispersion-supported galaxies given by Wolf et al. (2010),
[TABLE]
where is related with the 2D effective radius by . Finally the total mass (virial mass) of the galaxies can be estimated from a comparison of the enclosed mass with the NFW mass profiles for given concentration parameters (Navarro et al., 1997; Ludlow et al., 2016).
Figure 9 displays the enclosed mass versus the 3D half-light radii () of the UDGs, LSB dwarfs, and bright red sequence galaxies in Abell S1063 and Abell 2744. For comparison we also plotted the results for the UDGs in Coma (Yagi et al., 2016) and the dwarf galaxies with mag arcsec*-2* in Fornax selected from the catalog given by Muñoz et al. (2015). Most of the Fornax dwarf galaxies in Muñoz et al. (2015) have effective radii smaller than 1 kpc and only a small number of them have effective radii larger than 1.5 kpc. We also plotted the data for Dragonfly 44, VCC 1287, and UGC 2162. Trujillo et al. (2017) provided an enclosed mass within 5 kpc for UGC 2162. We multiplied it by a factor of 0.3 (the ratio of the radii ) to estimate the enclosed mass for kpc. Note that the relations based on the NFW density profiles for , , , and (with concentration parameter 12.5, 10.6, 8.7, and 6.9 in Ludlow et al. (2016)) are displayed by solid curved lines. The distributions of the enclosed mass of UDGs and LSB dwarfs in Abell S1063, Abell 2744, and Coma are shown in the right panel of the figure.
A few distinguishable features are noted in this figure. First, the distributions of the enclosed mass of the UDGs in Abell S1063 and Abell 2744 are similar, and they are overlapped with the high mass part of the Coma UDGs. The enclosed masses of most UDGs range from to , and three largest UDGs have much higher masses, to . Second, the larger the UDGs are, the higher enclosed mass they have. Third, most of the UDGs in Abell S1063 and Abell 2744 have total masses . The LSB dwarfs have slightly lower masses, . Fourth, only nine of the UDGs in these clusters have total masses larger than . Six of them have total masses and sizes similar to VCC 1287, and three of them (AS1063_UDG05, A2744_UDG27, and A2744_UDG04 (located in the parallel field)) have total masses and sizes similar to those of Dragonfly 44 that is an proto-example of massive UDGs in Coma.
4.2. Total Numbers of UDGs and the Masses of their Host Systems
From the study of UDGs in nearby galaxy clusters, van der Burg et al. (2016) found that the total number of UDGs in nearby galaxy clusters shows a strong correlation with the virial mass () of their host clusters. They fit the data with a power law, N(UDG) , obtaining . This correlation is also seen in the expanded sample including other galaxy clusters and groups (Román & Trujillo, 2017a; Janssens et al., 2017).
From the numbers of the detected UDGs, we estimate the total numbers of UDGs in Abell S1063 and Abell 2744. We counted the number of UDGs within the virial radius of each galaxy cluster. Considering the radial number density profiles corrected for completeness for each galaxy cluster, we derive N(UDG) for Abell S1063, and N(UDG) for Abell 2744.
In Figure 10 we plotted these results in comparison with the previous results in the literature compiled by Román & Trujillo (2017a); Janssens et al. (2017): nearby galaxy clusters (van der Burg et al., 2016), Coma (Yagi et al., 2016), Fornax (Muñoz et al., 2015), Abell 168 and UGC 842 (Román & Trujillo, 2017b), three Hickson compact groups (Román & Trujillo, 2017a), and Abell 2744 (Janssens et al., 2017). Note that we adopted the mass of Abell 2744, , as described in Section 1, which is smaller than the value used in Janssens et al. (2017). Abell S1063 and Abell 2744 are the most massive clusters in this sample so that they are precious targets to extend the range of virial mass in the study of this relation.
In the figure, the data for the UDGs in Abell S1063 and Abell 2744 in this study appear to be located at the upper end of the previous data. Fitting the data for all UDGs with a power law (we use the values in this study in the case of Abell 2744), we obtain . This value for the power law index is very similar to that given by Román & Trujillo (2017a), , and is consistent with the value presented by van der Burg et al. (2016), . Thus the two clusters in this study follow well the power law given by lower mass systems. It is interesting that the data for the galaxy group mass of to the massive cluster mass of are represented remarkably well by the power law.
The derived value of the power law index, , is slightly smaller than one. It indicates that the formation (or survival) efficiency of UDGs may be higher in the lower mass systems (Román & Trujillo, 2017a). Based on the lower power law index value, derived in their study, Román & Trujillo (2017a) suggested a scenario that UDGs are dwarf galaxies and that the progenitors of today’s UDGs are formed in the low density field, are processed in galaxy groups, and then some of them are disrupted during the infall to galaxy clusters.
However, the data for the low mass end have much larger errors than those for the high mass systems, because the numbers of UDGs in the Hickson compact groups presented by Román & Trujillo (2017a) are small. If we fit the data for massive systems with in the sample, we derive . This value is close to one, implying that the formation (or survival) efficiency of UDGs depends little on the their host mass for . It is needed to study more UDGs in the galaxy groups with to investigate the flattening of the slope in the low mass range.
It is noted that the data for Abell 2744 given by Janssens et al. (2017) shows a slightly larger deviation from the power law fit than our result, if the same value for the cluste mass is adopted. If it is real, Abell 2744 has an excess of UDGs compared with lower mass systems. However, the total number of UDGs in Abell 2744 derived in this study, , is about a factor of two smaller than the value given by Janssens et al. (2017), . The cause for this difference is not clear. The numbers of the UDGs we detected in Abell 2744 and its parallel field are 27 and 13, respectively (and none in the HXDF). On the other hand, Janssens et al. (2017) found 41 and 35 UDGs in Abell 2744 and its parallel field, and 10 UDGs in the HXDF. Their sample includes more UDGs larger than kpc, and some UDGs with lower surface brightness, reaching = 26.3 mag arcsec*-2* . We had also similar sources in our initial list of UDG candiates, but most of them were removed in the visual inspection step. Therefore about a half of the difference between the two studies may be due to the difference in the detected numbers, and another half may be due to the difference in the total number estimation procedure.
4.3. Origin of UDGs
Here we discuss the primary results of the UDGs in Abell S1063 and Abell 2744 derived in the previous sections, in relation to the scenarios for the origin of the UDGs: an inflated dwarf galaxy scenario (Yozin & Bekki, 2015; Amorisco & Loeb, 2016; Beasley et al., 2016; Román & Trujillo, 2017b; Di Cintio et al., 2017) and a failed galaxy scenario(van Dokkum et al., 2015; Koda et al., 2015; van Dokkum et al., 2016).
Radial Number Density Profiles of the UDGs: We found two interesting results on the radial distributions of the UDGs in Abell S1063 and Abell 2744: a) a similarity between the radial number density profiles of the UDGs, the LSB dwarfs, and the bright red sequence galaxies in the outer region at 100 kpc Mpc of the galaxy clusters, and b) the number density ratios of the UDGs plus LSB dwarfs with respect to the bright red sequence galaxies that is relatively lower in the central region (at kpc) than in the outer region (at kpc) of the galaxy clusters. These results imply the following points. First, the UDGs and the LSB dwarfs are less massive than the bright red sequence galaxies so that they cannot survive as long as the bright galaxies in the central region of the cluster. Second, the UDGs and the LSB dwarfs are vulnerable to the harsh environments in the galaxy clusters so a significant fraction of them are disrupted in the central region of the clusters.
Total Masses of the UDGs: A small number of the UDGs in Abell S1063 and Abell 2744 have high total masses exceeding . Six of them have total masses and sizes similar to those of VCC 1287, but three of them have total masses and sizes similar to those of Dragonfly 44 in Coma. Dragonfly 44 (with van Dokkum et al. (2016)) is known to be one of the most massive UDGs in the local universe, being used as an example for UDGs with the galaxy origin. Thus the most massive UDGs in these galaxy clusters can be failed galaxies. On the other hand, a majority of the UDGs in Abell S1063 and Abell 2744 have total masses smaller than . However, they are more massive than . Thus they correspond to the upper end in the mass distribution of Coma UDGs (see Figure 9). This result is consistent with the inference based on the radial number density distribution in the previous section.
From these results, we conclude that a majority of the UDGs in Abell S1063 and Abell 2744 are relatively massive dwarf galaxies, supporting the dwarf galaxy origin hypothesis. A small number of the UDGs in these galaxy clusters have masses and sizes similar to Dragonfly 44, which is consistent with the failed scenario.
5. SUMMARY and CONCLUSION
Analysing deep HST F814W and F105W images in the HFF, we discovered a large population of the UDGs in two massive galaxy clusters, Abell S1063 and Abell 2744. We adopted the UDG selection criteria consistent with those used for nearby galaxy clusters: kpc, mag arcsec*-2* , , and (F814W–F105W) colors bluer than the red boundary of the red sequence. For comparison, we also selected LSB dwarfs with 1 kpc kpc and the same surface brightness range as the UDGs. Primary results are summarized as follows.
We find 47 and 40 UDGs in the HST fields of Abell S1063 and Abell 2744, respectively. 2. 2.
The UDGs are mostly located at the faint end of the red sequence in the CMD, showing that they are mostly passively evolving old galaxies. 3. 3.
The radial surface brightness profiles of most UDGs are fit well by an exponential law profile: the mean values of the measured Sérsic indices are for Abell S1063 and for Abell 2744. These are similar to those of Coma UDGs, . 4. 4.
The mean values of the elongation parameters of the UDGs are for Abell S1063 and for Abell 2744, which are similar to those of Coma UDGs, . 5. 5.
From the comparison with simple stellar population models, we estimate the stellar mass of the UDGs to range from to . 6. 6.
The radial number density profiles of the UDGs and LSB dwarfs in both clusters show a drop or a flattening in the central region at kpc, while that of the bright galaxies keeps increasing in the central region. 7. 7.
We estimate the enclosed masses within effective radius of the UDGs using the galaxy scaling relations, finding that the enclosed masses of most UDGs range from to , and three largest UDGs have much higher masses, to . From this we find a majority of the UDGs have total masses, to , and only a few of them have total masses, to . 8. 8.
The total number of UDGs within the virial radius of each cluster is estimated to be N(UDG) for Abell S1063, and N(UDG) for Abell 2744. Combining these results with data in the literature, we fit the relation between the total numbers of UDGs and the masses of their host systems with a power law, N(UDG) . However, if we fit the data for massive systems with , we obtain N(UDG) . This value of the power law index is close to one, implying that the efficiency of UDGs depends little on the mass of their host systems. 9. 9.
We conclude on the origin of the UDGs: A majority of the UDGs in Abell S1063 and Abell 2744 have relatively massive dwarf galaxies. Only a small number of the UDGs can be massive enough to be failed galaxies.
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIP) (No. 2012R1A4A1028713). J.K. was supported by the Global Ph.D. Fellowship Program (NRF-2016H1A2A1907015).
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