Issue |
A&A
Volume 649, May 2021
|
|
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Article Number | L14 | |
Number of page(s) | 7 | |
Section | Letters to the Editor | |
DOI | https://doi.org/10.1051/0004-6361/202141001 | |
Published online | 13 May 2021 |
Letter to the Editor
A diffuse tidal dwarf galaxy destined to fade out as a “dark galaxy”
1
Instituto de Astrofísica de Andalucía (CSIC), Glorieta de la Astronomía, 18008 Granada, Spain
e-mail: jromanastro@gmail.com
2
Instituto de Astrofísica de Canarias, c/ Vía Láctea s/n, 38205 La Laguna, Tenerife, Spain
3
Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
4
Steward Observatory, University of Arizona, 933 North Cherry Avenue, Rm. N204, Tucson, AZ 85721-0065, USA
5
Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA
6
School of Physics, University of New South Wales, Sydney, NSW 2052, Australia
Received:
6
April
2021
Accepted:
28
April
2021
We have explored the properties of a peculiar object detected in deep optical imaging and located at the tip of an H I tail emerging from Hickson Compact Group 16. Using multiband photometry from infrared to ultraviolet, we were able to constrain its stellar age to 58−9+22 Myr with a rather high metallicity of [Fe/H] = −0.16−0.41+0.43 for its stellar mass of M⋆ = 4.2 × 106 M⊙, a typical signature of tidal dwarf galaxies. The structural properties of this object are similar to those of diffuse galaxies, with a round and featureless morphology, a large effective radius (reff = 1.5 kpc), and a low surface brightness (⟨μg⟩eff = 25.6 mag arcsec−2). Assuming that the object is dynamically stable and able to survive in the future, its fading in time via the aging of its stellar component will make it undetectable in optical observations in just ∼2 Gyr of evolution, even in the deepest current or future optical surveys. Its high H I mass, M(HI) = 3.9 × 108 M⊙, and future undetectable stellar component will make the object match the observational properties of dark galaxies, that is, dark matter halos that failed to turn gas into stars. Our work presents further observational evidence of the feasibility of H I tidal features becoming fake dark galaxies; it also shows the impact of stellar fading, particularly in high metallicity systems such as tidal dwarfs, in hiding aged stellar components beyond detection limits in optical observations.
Key words: galaxies: dwarf / galaxies: evolution / galaxies: photometry
© ESO 2021
1. Introduction
Our understanding of the Universe is closely tied to our capabilities to observe it, and surface brightness limits create severe biases that must be taken into account in order to provide a correct representation of the low-mass galactic population (Disney 1976; McGaugh et al. 1995). While the new generation of deep optical surveys are providing a growing number of previously undetected low surface brightness galaxies (e.g., Greco et al. 2018; Zaritsky et al. 2019; Tanoglidis et al. 2021), the surface brightnesses achieved by integrated photometry are far from the limits achieved by star counting in the local Universe, where galaxies of up to 32 mag arcsec−2 have been discovered (Homma et al. 2019). There is, therefore, a huge population of currently undetectable low-mass galaxies beyond the distance at which we can resolve individual stars.
An example of the impact of surface brightness limitations is found in the search for the so-called dark galaxies, that is, dark matter halos that failed to convert their gas into stars. They are expected from a theoretical perspective because of the low star formation efficiency of low mass halos at low metallicity (Gnedin & Kravtsov 2010; Krumholz & Dekel 2012). Objects compatible with dark galaxies have been detected at high redshifts in Lyα fluorescence by being illuminated by quasars (Cantalupo et al. 2012; Marino et al. 2018; Li et al. 2019). However, the systematic search for dark galaxies in the local Universe is strongly biased by the prevalence of H I debris expelled from galactic interactions that can masquerade as gas within a dark matter halo that failed to form stars, that is, a genuine dark galaxy (see Bekki et al. 2005; Duc & Bournaud 2008). In fact, H I clouds with no optical counterpart are common in high-density environments (e.g., Taylor et al. 2012; Oosterloo et al. 2013; Sorgho et al. 2017; Bílek et al. 2020), but systematic searches in low-density environments (where the possibility of H I tidal debris can be minimized) have not returned any clear candidates for true dark galaxies (Cannon et al. 2015), calling into question the existence of bona fide dark galaxies.
Gas-rich tidal interactions are commonly accompanied by bursts of star formation (Iglesias-Páramo & Vílchez 2001; Verdes-Montenegro et al. 2005; de Mello et al. 2012; Lee-Waddell et al. 2014) due to local instabilities of the gas (Wetzstein et al. 2007), forming the so-called tidal dwarf galaxies (TDGs; Duc & Mirabel 1998). Due to the difficulty in obtaining a high resolution surface density of the gas needed to establish star formation thresholds in these systems (Schaye 2004), the potential relation between tidal interactions and H I clouds without an optical component is hard to study observationally. Additionally, effects such as fading luminosity due to the aging of stellar populations have to be properly taken into account in order to assert the presence or absence of a stellar component.
In this Letter we study the properties of a peculiar object that was identified by Jones et al. (2019) as a very faint feature detected in optical data and located at the end of an H I tail emerging from the complex interactions of Hickson Compact Group 16 (HCG 16), which Jones et al. (2019) suggest is a clear TDG candidate. For convenience, we have named this object HCG 16-LSB1. We aim to test its TDG nature, study its properties, and analyze its potential future evolution. We assume standard cosmology parameters, with a distance to the object of 54.7 Mpc and a spatial scale of 0.259 kpc arcsec−1. We use the AB photometric magnitude system in this work.
2. Properties of HCG 16-LSB1
We used publicly available photometric data from the seventh data release of the Dark Energy Camera Legacy Survey (DECaLS; Dark Energy Survey Collaboration 2016) to obtain the photometric and structural properties of HCG 16-LSB1 in the optical. We performed a Sérsic model fitting using IMFIT (Erwin 2015) in the three available photometric bands (g, r, and z). The parameters resulting from this modeling are shown in Table 1. These properties match with those of diffuse galaxies frequently found in groups of galaxies (e.g., Román & Trujillo 2017), with re = 1.5 kpc, μ(0)g = 25.2 mag arcsec−2, and n = 0.48. The colors of HCG 16-LSB1 are extremely blue, with g–r = 0.00 ± 0.10 mag, suggesting very young stellar populations. In the right panels of Fig. 1 we plot the color composite model of the object together with its residuals. As can be seen, a Sérsic model is a good representation of the object with a clean residual image.
![]() |
Fig. 1. Illustration of the structures present in the northwestern region of HCG16. Upper left panel: color-composed image using the g, r, and z optical bands from DECaLS. Lower left panel: pseudo zenith view (RA vs. H I velocity) of the H I emission higher than 3σrms. Integrated moment-zero and first moment maps as well as detailed information about these data and maps for the whole group can be found in Jones et al. (2019). The dashed blue line in both left panels shows the trajectory of the H I tail, the end of which coincides with the diffuse object detected in the optical. We note that the progenitor of HCG 16-LSB1 is most likely HCG 16c and not the apparently closest galaxy (in projection), HCG 16a. Right panels: zoom-in of the object and its fitting using optical bands through a Sérsic model. |
Summary of the properties of HCG 16-LSB1.
We further explored other optical data sets. We found observations with the Canada-France-Hawaii Telescope (CFHT) in the CFHT Science Archive for the g, r, and i optical bands. However, the presence of an internal reflection from a nearby star prevents photometry of the object in these images. We also found observations with the Hubble Space Telescope (HST) in the Hubble Legacy Archive (PropID = 10787) for the F814W, F606W, and F450W bands. In this case, we ruled out the use of these images due to the presence of residuals in the reduction process that have a strong impact on low surface brightness objects in the HST images; these images would thus require complex data processing in order to obtain reliability (Borlaff et al. 2019). While photometric or structural measurements in these additional optical data are unfeasible, their high resolution allows us to explore in great detail the possible presence of HII regions. However, we do not find any such regions within the depth and resolution limits that these data provide: HCG 16-LSB1 appears to be a smooth and featureless galaxy.
2.1. SED fitting
We conducted a study of the stellar populations of HCG 16-LSB1 with the available photometric information in this region, aiming to constrain its age and metallicity. In addition to the aforementioned data in the g, r, and z optical bands, we also added the ultraviolet data from the Galaxy Evolution Explorer (GALEX; Martin et al. 2005) and infrared archival data from Spitzer (Werner et al. 2004). The photometry was carried out by fitting a Sérsic model, in a similar way to what was done in the optical bands. The resulting photometry is given in Table 1. In the case of Spitzer data, HCG 16-LSB1 was not detected, so upper limits were estimated.
As HCG 16-LSB1 shows no structure or “clumpiness” and has an expected low age, we assume that it formed in a single burst of star formation. Therefore, characterizing it as a single stellar population (SSP) with only a few parameters, such as metallicity, age, and initial mass function (IMF), is a good approximation. We compared the observed spectral energy distribution (SED) of HCG 16-LSB1 with SSP models (Bruzual & Charlot 2003), using a Chabrier (2003) IMF to obtain estimates of the age and metallicity of the galaxy. We used a χ2-minimization approach to obtain the best fit model to our data (as described in Montes et al. 2014). The uncertainties were estimated by marginalizing the 1D probability distribution functions. Figure 2 shows the best fitting model to the SED of HCG 16-LSB1 with 57.9 Myr and [Fe/H] = −0.16
(solid blue line). All photometric points fit well with the model except for the one corresponding to the z band. We think that this could be due to background sky fluctuations that are stronger in this band, producing a higher uncertainty due to the very low surface brightness of HCG 16-LSB1. The stellar-mass-to-light ratio is M/LV − band = 0.073
Υ⊙, giving a stellar mass of M⋆ = 4.2
106 M⊙ for HCG 16-LSB1.
![]() |
Fig. 2. Spectral energy distribution of the galaxy. The filled circles are the observed magnitudes of the galaxy, while the inverted triangles correspond to the upper limits in those bands where the galaxy was not detected. The open circles are the expected flux after convolving the best fit model with the filter responses. |
The metallicity of HCG 16-LSB1 of [Fe/H] = −0.16 is much higher than what would be expected for a dwarf galaxy of its stellar mass, which is typically within the range [Fe/H] = [−2.0, −1.5] (Grebel et al. 2003; Kirby et al. 2013; Hidalgo 2017). This suggests that it formed from the pre-enriched gas of the galactic components of HCG 16, this high metallicity content being a fundamental characteristic defining TDGs. (see a review by Duc 2012).
2.2. Dynamics and survival
In the upper panels of Fig. 3 we show the H I emission for different velocity channels corresponding to the tip of the H I tail shown in Fig. 1. These data were obtained in the Very Large Array using configurations C and D and were processed by Jones et al. (2019); more detailed information regarding the process is available in that work. We plot the emission contours of the robust = 0 (19.4″ × 14.8″) and robust = 2 (37.2″ × 30.3″) cubes, with an available spectral resolution of ≈21 km s−1.
![]() |
Fig. 3. H I distribution of HCG 16-LSB1. Upper panels: velocity channel maps corresponding to high (light blue) and low (black) resolutions of the H I emission plotted over a high contrast g + r optical image. The beam size for both resolutions is placed in the upper left corner (see text). We note that the H I emission in the plotted velocity channels is not associated with the bright galaxies (HCG 16a and HCG 16b) south of HCG 16-LSB1 (see Fig. 1). Bottom panel: H I spectrum obtained from the channels (high resolution data) presented in the upper panel (i.e., integrated over HCG 16-LSB1; see Sect. 2.2 for details). The peak emission is fitted with a Gaussian function. |
The velocity channels show spatial matching between the tip of the H I tail and the diffuse emission in optical bands. Considering the young age and high metallicity of the stellar component, which can only be explained by a recent formation with pre-enriched material, and the fact that TDGs are preferentially formed at the tip of H I tails, a chance superposition is extremely unlikely. This confirms the association between the H I cloud located at the end of the H I tail and the stellar component detected in optical bands. However, we find an offset between the peak emission in H I and the center of the object in the optical. This offset is 5.5″ for the 3562 km s−1 channel, which is approximately the value of the effective radius (1.5 kpc). While the association between the H I tail and the stellar component seems clear, this potential shift could indicate a certain degree of gas stripping or a spatial asymmetry between both components that cannot be resolved with the resolution available in our data.
In the lower panel of Fig. 3 we show the integrated H I spectrum. It was extracted using an aperture with dimensions twice that of the synthesized beam of the robust = 0 cube (i.e., four times the area). The robust = 0 cube was favored over the robust = 2 cube due to its better angular resolution; however, we note that this is at the cost of sensitivity, and thus we retain the initial H I mass estimation from Jones et al. (2019) of M(HI) = 3.9 × 108 M⊙, which used the robust = 2 cube. We fitted the peak associated with the tip of the tail with a Gaussian function for the 3520, 3541, 3562, and 3583 km s−1 channels, which have a spatial match with the optical counterpart. The residuals of the Gaussian fits are minimal up to 3600 km s−1. From this velocity onward, an excess flux remains; this flux corresponds to the residual flux of the rest of the H I tail, which shifts spatially to a southeastern direction toward HCG16-c (see Fig. 1). The model parameters of the fitted Gaussian distribution are σ = 24.2 ± 2.8 km s−1 centered at 3552 ± 2 km s−1.
In order to obtain a dynamic mass estimation, we used the approach from Hoffman et al. (1996):
This equation is only valid in the case of dynamic equilibrium and self-gravitation. Some clues indicating that this could be the case here are the Gaussian shape of the H I peak and the symmetry and sphericity of the optical counterpart, evidenced by the absence of residuals in the Sérsic modeling, which contrasts with the complex morphology of similar galaxies in clear interaction (Scott et al. 2021). However, a source of uncertainty is the low spectral resolution (21 km s−1), which does not allow us to resolve dynamical substructures within the tip of the H I tail. Taking these considerations into account, we proceeded to obtain this estimate.
For the radius we used a range between a minimum value of two times the effective radius, which is 3 kpc, and a maximum value corresponding to the selected aperture in which the H I spectrum was extracted, 40 arcsec and approximately 10 kpc at the group distance. These values produced a range of possible dynamic masses derived from the low resolution detection of H I. Due to the apparent absence of a rotation pattern within the resolution limits (see also Jones et al. 2019), we assumed that the dynamic mass is pressure supported, producing a value interval of Mdyn = [1.2, 4.1] × 109 M⊙; this value is in contrast with the baryonic content, which is mostly gas, of M(HI) = 3.9 × 108 M⊙. This would imply a mass-to-light ratio in the interval M/L = [3, 10]. It is worth commenting that even assuming a purely rotating unresolved component and a very conservative inclination of i = 45°, the derived mass-to-light ratio would be in the range M/L = [1.5, 5]. Therefore, although there are caveats due to the low spectral resolution of the H I, our analysis suggests that HCG 16-LSB1 contains a significant amount of dark matter; this is in contrast to what is expected for TDGs, which are typically poor in dark matter content (e.g., Duc 2012). It is also worth commenting that even exclusively considering the observed baryonic matter of M(HI) = 3.9 × 108 M⊙, it would be higher than the minimum mass for a long-lived TDG, which is approximately M = 108 M⊙ (Bournaud & Duc 2006). This would make the system gravitationally bound in future evolution, even assuming a total absence of dark matter.
Although dynamic stability by self-gravitation seems assured, interactions with massive galaxies could easily tear the galaxy apart, which is often the case in compact groups. However, tidal features tend to eject at high speeds, being able not only to perform a distant orbit but even being able to flee the system by exceeding the escape velocity. HCG 16-LSB1 seems to have the latter ability. The escape velocity in HCG16 was estimated by Jones et al. (2019) to be 400 km s−1, close to the radial velocity of HCG 16-LSB1 with respect to the average of the host group, 300 km s−1. We can make a rough estimate of the tangential component of the velocity. Assuming (i) a flight time equal to the age of HCG 16-LSB1 and (ii) a distance traveled equal to half the projected distance between HCG 16-LSB1 and HCG16c (see Fig. 1) – considering its formation not in the vicinity of HCG16c but once the H I tidal tail has already been ejected, which has been observed in other TDGs (Lee-Waddell et al. 2014) – results in a tangential component of 26 kpc/58 Myr ≈ 450 km s−1. This is of course an estimate with large uncertainties, but it is useful to show that the tangential component of the velocity is significant. Therefore, the 3D component of the velocity is expected to be higher than the escape velocity of 400 km s−1, and therefore HCG 16-LSB1 will likely escape from the gravitational influence of the group and its interactions that could destroy it.
2.3. Evolution in time of the optical surface brightness
Since HCG 16-LSB1 will probably survive, it is interesting to explore how its photometric properties in the optical will evolve in the future. For that we can consider it as an SSP that is passively evolving, which is a good approximation since no current star formation is detected, the H I peak is diffuse enough to not trigger new star formation (2.45 × 1020 cm−2; see Jones et al. 2019), and the accretion of new gas to the system is unlikely. For this we used the stellar population models from Vazdekis et al. (2015) with a Kroupa universal IMF (Kroupa 2001). In Fig. 4 we plot the photometric tracks corresponding to a temporal evolution, starting at the observed age and surface brightness of HCG 16-LSB1. We also plot photometric tracks for a wide range of metallicities, from [Fe/H] = −2.3 to +0.2, for comparison. Typical surface brightness limits for detecting low surface brightness galaxies are marked for the different surveys. We used as a reference the work by Greco et al. (2018), who used the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) with a detection limit for the mean surface brightness of approximately 28 mag arcsec−2 in the g band. We scaled this value using the limits derived from the Poisson noise through the relation given by Román et al. (2020, Appendix A), taking the various surveys’ differing telescope apertures and exposure times into account. These calculated limits are an approximation since they not only depend on the depth of the data but also on the sizes of the sources and the method applied in the detection.
![]() |
Fig. 4. Evolution of the surface brightness of HCG 16-LSB1 in time. The black diamond symbol marks the observed age and surface brightness. The tracks in different colors mark the theoretical temporal evolution of the surface brightness that would correspond to different metallicities. The dashed black line corresponds to the evolution calculated for the metallicity of HCG 16-LSB1 ([Fe/H] = −0.16). Approximate limits on the maximum surface brightness of detectable galaxies are marked with dotted lines for the Sloan Digital Sky Survey (SDSS; York et al. 2000), DECaLS (Dark Energy Survey Collaboration 2016), the IAC Stripe82 Legacy Survey (Fliri & Trujillo 2016; Román & Trujillo 2018), the HSC-SSP (Aihara et al. 2018), and the future LSST (LSST Science Collaboration 2009). |
At the young age of HCG 16-LSB1, the stellar dimming due to the aging of the stellar populations is very strong. We can see that in just 400 Myr, the surface brightness will decrease enough to be undetectable in the optical data that we use in this work (DECaLS). In 1 Gyr of evolution, it would be undetectable in the deepest currently available survey, which is the HSC-SSP. And in 2 Gyr it would be undetectable in what will be the deepest optical survey in the near future, the Legacy Survey of Space and Time (LSST), reaching 29 mag arcsec−2, which is the surface brightness of the faintest galaxy ever detected through integrated light (Mihos et al. 2018). After 10 Gyr of passive evolution, the stellar dimming is extreme, with a decrease in surface brightness of 5 mag arcsec−2, making HCG 16-LSB1 completely undetectable, with an effective surface brightness above 30 mag arcsec−2. It is interesting to note that the higher the metallicity, the stronger the dimming of the stellar populations. This means that in the case of TDGs, whose metallicity tends to be very high, this effect has a stronger impact on their detectability than that of ordinary dwarfs, whose metallicities are lower.
3. Discussion
The properties of HCG 16-LSB1 are peculiar. Its morphology and low surface brightness place it in the category of ultra diffuse galaxies (UDGs; van Dokkum et al. 2015), that is, galaxies with large effective radii and low surface brightnesses found in any environment (e.g., Román & Trujillo 2017; Leisman et al. 2017; Mancera Piña et al. 2018; Román et al. 2019). However, its high metallicity and its location at the end of an H I tail makes HCG 16-LSB1 compatible with a recently formed TDG. Strikingly, systematic detections of TDGs show compact-clumpy morphologies with bright surface brightnesses (e.g., Ren et al. 2020), contrary to that of HCG 16-LSB1. The dark matter content of HCG 16-LSB1 also appears anomalous for a TDG, with a calculated mass-to-light ratio in the range M/L = [3, 10]. This is a standard for the general low-mass galactic population and would be in contradiction with the general characteristics of TDGs, which are generally poor in dark matter (see e.g., Duc 2012). However, we warn that the spectral (and spatial) resolution that we have is not sufficient to obtain a reliable estimate of the dynamical mass of HCG 16-LSB1, dynamical calculations of such systems being extremely challenging in general (Lelli et al. 2015). Future studies with better resolution will be necessary in order to confirm this significant presence of dark matter; however, if confirmed, this would make HCG 16-LSB1 an object of great interest, with mixed characteristics of both diffuse galaxies and TDGs.
Due to the low surface brightness of HCG 16-LSB1, we argue that its peculiar characteristics could be due to an observational bias in which the surface brightness limits of typical optical observations are insufficient to systematically detect such extreme objects. In fact, very deep optical observations focused on the study of TDGs find objects as faint as or even fainter than HCG 16-LSB1 (Duc et al. 2014). Therefore, it is expected that the new era of deep optical surveys will reveal a systematic presence of objects of this type, preferentially in strongly interacting galactic associations such as the Hickson Compact Groups.
Indeed, a correct understanding of observational biases is key to providing a correct representation of the low-mass galactic population. Our analysis, exemplified by the case of HCG 16-LSB1, shows that dimming via the passive evolution of stellar populations is another important factor to consider when studying galaxies without optical counterparts (see also Trujillo et al. 2017). The characteristics that give rise to TDGs would be optimal in producing fake dark galaxies. In the first place, the ejection of H I tails in which TDGs are formed would allow them to escape from the potential well of the host system, avoiding interactions that could destroy them. Additionally, since they are formed by reprocessed gas from massive host galaxies, TDGs are high in metallicity, maximizing the fading of their stellar populations, as clearly shown in Fig. 4.
The connection between H I debris and optically dark galaxies has been widely debated (e.g., Bekki et al. 2005; Duc & Bournaud 2008; Taylor et al. 2017). While the fraction of H I debris that actually contains a hidden stellar component is unknown, our work suggests that even H I debris galaxies containing a detectable stellar component at the time of its formation, as is the case with TDGs, are able to reproduce the observational properties of optically dark galaxies observed in high-density environments (e.g., Cannon et al. 2015; Bílek et al. 2020) after the passive evolution of their stellar content. This seems to be the case for HCG 16-LSB1. Our analysis shows that its most likely future involves its ejection out of the environment of HCG 16; it will appear as a gas cloud with a stellar population that will quickly fade beyond the optical detection limits. If the galaxy survives and is held together gravitationally – even if it loses a significant fraction of its gas component, either by tidal interactions taking place in its formation or later on via photoevaporation – its observational properties will be compatible with a dark matter halo in which only gas is detectable, with no optical counterpart, therefore mimicking the observational properties of dark galaxies without actually being one.
Acknowledgments
We thank the anonymous referee for a careful review and useful comments. We also thank Karen Lee-Waddell for helpful suggestions that improved this work. The authors acknowledge financial support from the grants AYA2015-65973-C3-1-R and RTI2018-096228-B-C31 (MINECO/FEDER, UE), as well as from the State Agency for Research of the Spanish MCIU through the “Center of Excellence Severo Ochoa” award to the Instituto de Astrofísica de Andalucía (SEV-2017-0709). J. R. acknowledges support from the State Research Agency (AEI-MCINN) of the Spanish Ministry of Science and Innovation under the grant “The structure and evolution of galaxies and their central regions” with reference PID2019-105602GB-I00/10.13039/501100011033. This research is based in part on observations made with the Galaxy Evolution Explorer, obtained from the MAST data archive at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5–26555, and is based in part on observations made with the Spitzer Space Telescope, which was operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA.
References
- Aihara, H., Arimoto, N., Armstrong, R., et al. 2018, PASJ, 70, S4 [NASA ADS] [Google Scholar]
- Bekki, K., Koribalski, B. S., & Kilborn, V. A. 2005, MNRAS, 363, L21 [NASA ADS] [CrossRef] [Google Scholar]
- Bílek, M., Müller, O., Vudragović, A., et al. 2020, A&A, 642, L10 [EDP Sciences] [Google Scholar]
- Borlaff, A., Trujillo, I., Román, J., et al. 2019, A&A, 621, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bournaud, F., & Duc, P.-A. 2006, A&A, 456, 481 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000 [NASA ADS] [CrossRef] [Google Scholar]
- Cannon, J. M., Martinkus, C. P., Leisman, L., et al. 2015, AJ, 149, 72 [NASA ADS] [CrossRef] [Google Scholar]
- Cantalupo, S., Lilly, S. J., & Haehnelt, M. G. 2012, MNRAS, 425, 1992 [NASA ADS] [CrossRef] [Google Scholar]
- Chabrier, G. 2003, ApJ, 586, L133 [NASA ADS] [CrossRef] [Google Scholar]
- Dark Energy Survey Collaboration (Abbott, T., et al.) 2016, MNRAS, 460, 1270 [Google Scholar]
- de Mello, D. F., Urrutia-Viscarra, F., Mendes de Oliveira, C., et al. 2012, MNRAS, 426, 2441 [NASA ADS] [CrossRef] [Google Scholar]
- Disney, M. J. 1976, Nature, 263, 573 [NASA ADS] [CrossRef] [Google Scholar]
- Duc, P.-A. 2012, Astrophys. Space Sci. Proc., 28, 305 [NASA ADS] [CrossRef] [Google Scholar]
- Duc, P.-A., & Mirabel, I. F. 1998, A&A, 333, 813 [NASA ADS] [Google Scholar]
- Duc, P.-A., & Bournaud, F. 2008, ApJ, 673, 787 [NASA ADS] [CrossRef] [Google Scholar]
- Duc, P.-A., Paudel, S., McDermid, R. M., et al. 2014, MNRAS, 440, 1458 [NASA ADS] [CrossRef] [Google Scholar]
- Erwin, P. 2015, ApJ, 799, 226 [Google Scholar]
- Fliri, J., & Trujillo, I. 2016, MNRAS, 456, 1359 [Google Scholar]
- Gnedin, N. Y., & Kravtsov, A. V. 2010, ApJ, 714, 287 [NASA ADS] [CrossRef] [Google Scholar]
- Grebel, E. K., Gallagher, J. S., & Harbeck, D. 2003, AJ, 125, 1926 [NASA ADS] [CrossRef] [Google Scholar]
- Greco, J. P., Greene, J. E., Strauss, M. A., et al. 2018, ApJ, 857, 104 [NASA ADS] [CrossRef] [Google Scholar]
- Hidalgo, S. L. 2017, A&A, 606, A115 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hoffman, G. L., Salpeter, E. E., Farhat, B., et al. 1996, ApJS, 105, 269 [NASA ADS] [CrossRef] [Google Scholar]
- Homma, D., Chiba, M., Komiyama, Y., et al. 2019, PASJ, 71, 94 [NASA ADS] [CrossRef] [Google Scholar]
- Iglesias-Páramo, J., & Vílchez, J. M. 2001, ApJ, 550, 204 [NASA ADS] [CrossRef] [Google Scholar]
- Jones, M. G., Verdes-Montenegro, L., Damas-Segovia, A., et al. 2019, A&A, 632, A78 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jones, M. G., Román, J., Montes, M., et al. 2021, https://doi.org/10.5281/zenodo.4661983 [Google Scholar]
- Kirby, E. N., Cohen, J. G., Guhathakurta, P., et al. 2013, ApJ, 779, 102 [Google Scholar]
- Kroupa, P. 2001, MNRAS, 322, 231 [NASA ADS] [CrossRef] [Google Scholar]
- Krumholz, M. R., & Dekel, A. 2012, ApJ, 753, 16 [NASA ADS] [CrossRef] [Google Scholar]
- Lee-Waddell, K., Spekkens, K., Cuillandre, J.-C., et al. 2014, MNRAS, 443, 3601 [CrossRef] [Google Scholar]
- Leisman, L., Haynes, M. P., Janowiecki, S., et al. 2017, ApJ, 842, 133 [NASA ADS] [CrossRef] [Google Scholar]
- Lelli, F., Duc, P.-A., Brinks, E., et al. 2015, A&A, 584, A113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Li, Q., Cai, Z., Prochaska, J. X., et al. 2019, ApJ, 875, 130 [NASA ADS] [CrossRef] [Google Scholar]
- LSST Science Collaboration (Abell, P. A., et al.) 2009, ArXiv e-prints [arXiv:0912.0201] [Google Scholar]
- Mancera Piña, P. E., Peletier, R. F., Aguerri, J. A. L., et al. 2018, MNRAS, 481, 4381 [NASA ADS] [CrossRef] [Google Scholar]
- Marino, R. A., Cantalupo, S., Lilly, S. J., et al. 2018, ApJ, 859, 53 [NASA ADS] [CrossRef] [Google Scholar]
- Martin, D. C., Fanson, J., Schiminovich, D., et al. 2005, ApJ, 619, L1 [Google Scholar]
- McGaugh, S. S., Bothun, G. D., & Schombert, J. M. 1995, AJ, 110, 573 [NASA ADS] [CrossRef] [Google Scholar]
- Mihos, J. C., Carr, C. T., Watkins, A. E., et al. 2018, ApJ, 863, L7 [NASA ADS] [CrossRef] [Google Scholar]
- Montes, M., Trujillo, I., Prieto, M. A., et al. 2014, MNRAS, 439, 990 [NASA ADS] [CrossRef] [Google Scholar]
- Oosterloo, T. A., Heald, G. H., & de Blok, W. J. G. 2013, A&A, 555, L7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ren, J., Zheng, X. Z., Valls-Gabaud, D., et al. 2020, MNRAS, 499, 3399 [CrossRef] [Google Scholar]
- Román, J., & Trujillo, I. 2017, MNRAS, 468, 4039 [Google Scholar]
- Román, J., & Trujillo, I. 2018, Res. Notes Am. Astron. Soc., 2, 144 [Google Scholar]
- Román, J., Beasley, M. A., Ruiz-Lara, T., et al. 2019, MNRAS, 486, 823 [NASA ADS] [CrossRef] [Google Scholar]
- Román, J., Trujillo, I., & Montes, M. 2020, A&A, 644, A42 [CrossRef] [EDP Sciences] [Google Scholar]
- Schlafly, E. F., & Finkbeiner, D. P. 2011, ApJ, 737, 103 [NASA ADS] [CrossRef] [Google Scholar]
- Schaye, J. 2004, ApJ, 609, 667 [NASA ADS] [CrossRef] [Google Scholar]
- Scott, T. C., Sengupta, C., Lagos, P., Chung, A., & Wong, O. I. 2021, MNRAS, 503, 3953 [NASA ADS] [CrossRef] [Google Scholar]
- Sorgho, A., Hess, K., Carignan, C., et al. 2017, MNRAS, 464, 530 [NASA ADS] [CrossRef] [Google Scholar]
- Tanoglidis, D., Drlica-Wagner, A., Wei, K., et al. 2021, ApJS, 252, 18 [Google Scholar]
- Taylor, R., Davies, J. I., Auld, R., et al. 2012, MNRAS, 423, 787 [NASA ADS] [CrossRef] [Google Scholar]
- Taylor, R., Davies, J. I., Jáchym, P., et al. 2017, MNRAS, 467, 3648 [Google Scholar]
- Trujillo, I., Roman, J., Filho, M., et al. 2017, ApJ, 836, 191 [NASA ADS] [CrossRef] [Google Scholar]
- van Dokkum, P. G., Abraham, R., Merritt, A., et al. 2015, ApJ, 798, L45 [NASA ADS] [CrossRef] [Google Scholar]
- Vazdekis, A., Coelho, P., Cassisi, S., et al. 2015, MNRAS, 449, 1177 [NASA ADS] [CrossRef] [Google Scholar]
- Verdes-Montenegro, L., Del Olmo, A., Yun, M. S., et al. 2005, A&A, 430, 443 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Werner, M. W., Roellig, T. L., Low, F. J., et al. 2004, ApJS, 154, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Wetzstein, M., Naab, T., & Burkert, A. 2007, MNRAS, 375, 805 [NASA ADS] [CrossRef] [Google Scholar]
- York, D. G., Adelman, J., Anderson, J. E., et al. 2000, AJ, 120, 1579 [CrossRef] [Google Scholar]
- Zaritsky, D., Donnerstein, R., Dey, A., et al. 2019, ApJS, 240, 1 [NASA ADS] [CrossRef] [Google Scholar]
Appendix A: Reproducibility aspects
This appendix summarizes the data sources and some reproducibility aspects. Our work was carried out using data from Jones et al. (2019) and public surveys. The optical data used in this work come from DECaLS (Dark Energy Survey Collaboration 2016), which is publicly accessible. The H I data come from the work by Jones et al. (2019), which includes a section on how to reproduce the full analysis: It provides Python Notebooks to produce the figures and a computational environment that includes the code and docker containers to run the analysis and produce the final data cube that we used here. The low resolution H I cube used here can be found associated with the publication by Jones et al. (2019) and is publicly available; the additional high resolution H I cube that we used has also been made publicly available under an open licence by Jones et al. (2021).
All Tables
All Figures
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Fig. 1. Illustration of the structures present in the northwestern region of HCG16. Upper left panel: color-composed image using the g, r, and z optical bands from DECaLS. Lower left panel: pseudo zenith view (RA vs. H I velocity) of the H I emission higher than 3σrms. Integrated moment-zero and first moment maps as well as detailed information about these data and maps for the whole group can be found in Jones et al. (2019). The dashed blue line in both left panels shows the trajectory of the H I tail, the end of which coincides with the diffuse object detected in the optical. We note that the progenitor of HCG 16-LSB1 is most likely HCG 16c and not the apparently closest galaxy (in projection), HCG 16a. Right panels: zoom-in of the object and its fitting using optical bands through a Sérsic model. |
In the text |
![]() |
Fig. 2. Spectral energy distribution of the galaxy. The filled circles are the observed magnitudes of the galaxy, while the inverted triangles correspond to the upper limits in those bands where the galaxy was not detected. The open circles are the expected flux after convolving the best fit model with the filter responses. |
In the text |
![]() |
Fig. 3. H I distribution of HCG 16-LSB1. Upper panels: velocity channel maps corresponding to high (light blue) and low (black) resolutions of the H I emission plotted over a high contrast g + r optical image. The beam size for both resolutions is placed in the upper left corner (see text). We note that the H I emission in the plotted velocity channels is not associated with the bright galaxies (HCG 16a and HCG 16b) south of HCG 16-LSB1 (see Fig. 1). Bottom panel: H I spectrum obtained from the channels (high resolution data) presented in the upper panel (i.e., integrated over HCG 16-LSB1; see Sect. 2.2 for details). The peak emission is fitted with a Gaussian function. |
In the text |
![]() |
Fig. 4. Evolution of the surface brightness of HCG 16-LSB1 in time. The black diamond symbol marks the observed age and surface brightness. The tracks in different colors mark the theoretical temporal evolution of the surface brightness that would correspond to different metallicities. The dashed black line corresponds to the evolution calculated for the metallicity of HCG 16-LSB1 ([Fe/H] = −0.16). Approximate limits on the maximum surface brightness of detectable galaxies are marked with dotted lines for the Sloan Digital Sky Survey (SDSS; York et al. 2000), DECaLS (Dark Energy Survey Collaboration 2016), the IAC Stripe82 Legacy Survey (Fliri & Trujillo 2016; Román & Trujillo 2018), the HSC-SSP (Aihara et al. 2018), and the future LSST (LSST Science Collaboration 2009). |
In the text |
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