Open Access
Issue
A&A
Volume 627, July 2019
Article Number L3
Number of page(s) 8
Section Letters to the Editor
DOI https://doi.org/10.1051/0004-6361/201935788
Published online 03 July 2019

© D. Maschmann and A.-L. Melchior 2019

Licence Creative CommonsOpen Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Introduction

The building-up of galaxies is currently understood as a co-evolution of the star formation (SF), which is usually strong in the central parts, and the accretion activity of the central black hole (Madau & Dickinson 2014). While galaxy interactions can trigger SF (Mihos & Hernquist 1994, 1996; Bellocchi et al. 2013), gas accretion is not negligible (Kereš et al. 2005; Sancisi et al. 2008). In the local Universe, interactions and minor or major mergers do not necessarily enhance SF (e.g. Bergvall et al. 2003; Bell et al. 2005; Di Matteo et al. 2007), but they can also drive gas towards the centre and fuel the nuclear black hole, enhancing active galactic nuclei (AGN) activity and feedback (Croton et al. 2006; Springel et al. 2005). Major mergers provide the largest starbursts (Sanders & Mirabel 1996), but they are rare and their influence on the total cosmic SF is low (Di Matteo et al. 2007; Robaina et al. 2009). Galaxy mergers are usually identified by their optical morphology. Wide-field observations connect enhanced AGNs and starburst activities with interactions in galaxy pairs (Patton et al. 2013; Satyapal et al. 2014).

In this Letter, we investigate a galaxy sample based on a spectroscopic selection. Relying on the RCSED catalogue from Chilingarian et al. (2017) and Maschmann et al. (in prep.) performed an automatic selection of about 5000 galaxies exhibiting double-peak emission lines from the SDSS catalogue (Strauss et al. 2002). Here we study 58 such double-peak galaxies, whose peaks exhibit two different Baldwin, Phillips and Terlevich (BPT) diagnostics: AGN/SF, AGN/composite, or composite/SF. Previous works on double-peaked emission-lines, motivated by dual or offset AGNs, were restricted to AGN lines. Different studies identified galaxy mergers and AGN outflows (Comerford et al. 2018; Liu et al. 2018; Nevin et al. 2018; Müller-Sánchez et al. 2015). As discussed in Ge et al. (2012), in addition to dual AGNs, double-peaked emission lines can correspond to several configurations, which are difficult to disentangle: rotating disc, gas outflow, or different gas components due to a galaxy merger. In this work, we focus on double-peak emission-line galaxies with a high signal-to-noise ratios (S/Ns) in all lines, but with one of the [OIII]λ5008 components absent or significantly weaker than the other one. As further argued throughout this Letter, we do not expect rotating discs to exhibit such a pattern, which rather favours the merging and possibly outflow scenarios. In Sect. 2, we present the spectroscopic selection of the galaxy sample, their host properties, the estimated star formation, and their environment. In Sect. 3, we discuss the results. A cosmology of Ωm = 0.3, ΩΛ = 0.7, and h = 0.7 is assumed in this work.

2. Data analysis: host properties of merger candidates

Relying on the RCSED catalogue (Chilingarian et al. 2017), a single and a double Gaussian function were fitted to the emission-lines and several selection criteria were applied. We stacked all fitted emission lines and introduced a global peak position and velocity dispersion (σ) for each peak. The factor ϕ1 (resp. ϕ2) corresponds to the flux of the blueshifted (resp. redshifted) component. The catalogue finally provides parameters of the fitted double-Gaussian function for the different optical lines. We restrict the analysis to the Hβλ4863, [OIII]λ5008, Hαλ6565, and [NII]λ 6586 emission lines.

2.1. Spectroscopic selection and classification

We focus here on galaxies with (1) a Hαλ6565 flux ratio between the two components in the range 1/2 <  ϕ1/ϕ2 <  2 and (2) an [OIII]λ5008 flux ratio below one third or above three. We also require S/N <  10 for the [OIII]λ5008 line. We thus selected galaxies with a well-defined double-peak structure in the Hαλ6565 line, but suppressed in [OIII]λ5008. At this stage, we select 123 galaxies. We then classify each emission-line component individually with a BPT diagram (Baldwin et al. 1981; Kewley et al. 2006) and select the galaxies with two different classifications. We finally obtained 58 galaxies as displayed in Fig. 1. The weaker components are situated in the composite and star-forming regions. The components with the highest [OIII] flux are clearly associated with AGN/low-ionisation nuclear emission-line region (LINER) activity except for 11 components located in the composite region. We refer to the two components as the weak [OIII] and the strong [OIII] components below. Examples of spectra of galaxies thus selected are displayed in Figs. 2 and A.1.

thumbnail Fig. 1.

BPT diagnostic diagram (Kewley et al. 2006) with topological classification based on Kauffmann et al. (2003), Kewley et al. (2001), and Schawinski et al. (2007). We show the two components of the double-peak galaxies: 58 triangles represent the strong [OIII] component and 33 circles the weaker [OIII] component. We display the 25 upper limits with an arrow for those galaxies, which have a suppressed component with S/N <  3. We highlight galaxies with an off-centred weak [OIII] line with an empty marker (see Sect. 2.3).

thumbnail Fig. 2.

Emission lines of one double-peak galaxy classified as a merger (Domínguez Sánchez et al. 2018) at z = 0.057, namely Hβλ4863, [OIII]λ5008, [OI]λ6302, [NII]λ 6550, Hαλ6565, [NII]λ 6586, [SII]λ6718 and [SII]λ 6733. Top left: SDSS snap-shot. Each displayed line is fitted with a double Gaussian function (with velocities fixed with the stacked spectra) as displayed by blue and red lines. The black dashed line indicates the position of the stellar velocity of the host galaxy, computed by Chilingarian et al. (2017). As in Maschmann et al. (in prep.), we indicate emission lines with a confirmed double-peak “with DP” (resp. “no DP”). Beside S/N constraints, the non-detection corresponds to a line weaker than a factor of three.

We also classify the sample with the WHAN diagram shown in Fig. A.2. While a shift is observed between the two components, there are only 9 out of 58 galaxies with AGN/SF classification. The BPT-AGN are classified as strong and weak AGNs in the WHAN diagnostics. The BPT-based composite and star-forming classifications are more ambiguous. However, the WHAN diagram (Cid Fernandes et al. 2010) based on equivalent widths is biased if there is an AGN in one component as the continuum of both components will be affected.

In Table A.1, we list the properties of the 58 galaxies sorted by redshift.

2.2. Morphology

Our selected sample is composed of galaxies with redshifts in the range 0.04–0.17, corresponding to an SDSS 3″ fiber diameter between 2 and 10 kpc. The mean stellar mass is around log10(M/M)  ∼  11 (Kauffmann et al. 2003). Relying on a machine-learning-based morphological classification (Domínguez Sánchez et al. 2018) and a visual correction when required, we classify this sample as 15 (26%) merger, 16 (28%) late-type (LTG), 1 (2%) early-type (ETG), and 26 (45%) S0 galaxies. Only one galaxy has been (mis-)classified as elliptical, and it might be an S0. Several galaxies were mis-classified by machine-learning-based morphological classification; for example close double nuclei were missed. Snapshots are shown in Fig. 3. Beside galaxies classified as mergers, many tidal features can be observed even around S0 galaxies. This can be compared to the work of Eliche-Moral et al. (2018), who show that S0 galaxies resulting from major or minor mergers exhibit tidal features in their outskirts. Lastly, we note the large fraction of S0 galaxies compared to the usual fraction observed in magnitude-limited samples; for example 11% in Shapley-Ames Catalog (van den Bergh 2009).

thumbnail Fig. 3.

Galaxy 150″ × 150″ snapshots sorted by redshift. We show the Legacy Survey snapshots (Dey et al. 2019) if available; otherwise we display the SDSS snapshots (Strauss et al. 2002). We highlight galaxies that are classified with a centred strong (resp. weak) [OIII] component on the stellar velocity in red (resp. yellow) and those with symmetrical kinematics with blue frames as described in Sect. 2.3.

2.3. Kinematics

The velocity differences between the two peaks are between 215 and 415 km s−1. These values correspond to the upper range of the Tully–Fisher relation expected according to the stellar masses (McGaugh et al. 2000).

We therefore compared the velocity of each emission-line component with the stellar velocity. We computed the ratio of ΔV = vpeak − v*, that is, the difference between the individual peak position vpeak and the stellar velocity v* of the host galaxy, to the velocity dispersion σ of the component. In Fig. 4, we display these ratios for the weak [OIII] component as a function of those of the strong [OIII] component. We then studied whether or not one of the two peaks was centred on the same velocity as the stars. We classify galaxies with off-centred strong (resp. weak) [OIII] components as those showing a velocity offset in this component that is larger by at least 1σ than the stellar velocity. We clearly see that for the majority (66%) of these galaxies, the position of the strong [OIII] peak is closer to the stellar velocity than for the weak [OIII] peak. This also comprises all galaxies with a strong [OIII] component classified as composite (see Sect. 2.1). However, we also find seven galaxies showing an off-centred strong [OIII] component. The latter are mostly classified as LTGs (5), and the remaining two are one merger and one S0 galaxy. Lastly, we also find that 13 galaxies (22%) have the stellar velocity centred between the two peaks. The majority (9) of those are S0 galaxies; the others are 2 LTGs and 2 mergers.

thumbnail Fig. 4.

Velocity offsets of the two emission-line components relative to the stellar velocity of the host galaxy in units of their velocity dispersion σ. The two panels show the exact same points. On the y-axis (resp. x-axis), we display the relative offset of the weak [OIII] (strong [OIII]) component. In the upper panel, we compute error-bars and colour-code off-centred strong (resp. weak) [OIII] lines in green (resp. orange) and symmetric kinematics in black. In the lower panel, we encode the morphological classification with different marker styles and the BPT classification of the strong [OIII] component (see Fig. 1) with the colour.

2.4. Environment

Following Yang et al. (2007), we estimated the number of identified neighbours associated to each galaxy of the studied sample. The majority of the galaxies (67%) are isolated with no identified counterparts; 46% of those are classified S0, 21% mergers, and 31% LTGs. There are 12 galaxies are located in small groups composed of 2 to 5 galaxies: 3 (25%) are LTGs, 5 (41%) mergers, and 4 (33%) S0 galaxies. Only one S0 galaxy is located in a small cluster with 27 counterparts. Lastly, 6 galaxies (10%) have not been processed by Yang et al. (2007): 2 mergers, 3 S0 galaxies, and 1 LTG.

Twenty-three (61%) of the galaxies with an off-centred weak [OIII] component are isolated, while 11 (29%) of those have counterparts (one of these is in the small cluster above mentioned), and 4 (11%) have not been processed by Yang et al. (2007). Regarding galaxies with an off-centred strong [OIII] component, 4 (57%) of them are in isolated galaxies, and 1 (14%) is in a pair of galaxies. The two (29%) remaining galaxies have not been processed by Yang et al. (2007). Lastly, the majority (12; 92%) of the galaxies with symmetrical kinematics are isolated and only one (8%) is in a pair.

2.5. Star formation

In Fig. 5, we compute the stellar mass–specific star formation rate (sSFR) diagram as discussed by Brinchmann et al. (2004) with stellar mass (resp. sSFR) computed by (Kauffmann et al. 2003; Brinchmann et al. 2004). The galaxies from our sample are not quenched and exhibit a star-formation ratio typical of the upper-mass range of the main sequence. In Fig. 6, we present the ratio between sSFR of the total galaxy and the sSFR of the 3″ SDSS fiber. The sSFR measurements are computed from Brinchmann et al. (2004). For all galaxies, we observe stronger star formation in the central regions.

thumbnail Fig. 5.

Specific star formation rate (Brinchmann et al. 2004) as a function of stellar mass (Kauffmann et al. 2003). We show as blue (resp. red) contour lines a sub-sample of LTGs (resp. ETG) selected from the RCSED catalogue (Chilingarian et al. 2017). We display our galaxy sample with their morphologies encoded with different marker styles and highlight galaxies with off-centred weak [OIII] lines with empty markers.

thumbnail Fig. 6.

Ratio of the total sSFR and the sSFR measured within the 3″ fibre by Brinchmann et al. (2004). The histogram is decomposed into different morphological types (Sect. 2.2).

We calculate the SFR from the extinction-corrected Hαλ6565 luminosity as described in Kewley et al. (2002). We compute the extinction for each line component using the Balmer decrements (Domínguez et al. 2013) assuming an intrinsic ratio Hα/Hβ = 2.85 (Osterbrock 1989) and the Whitford reddening curve from Miller & Mathews (1972). With the Balmer decrement, we estimate a mean E(B − V) of 0.6 for the two peaks. The measured mean [OIII]/Hα flux ratios of the weak and strong components are 0.2 and 1, while the differential dust attenuation between 5007A and 6565A is 0.7. Hence, the relative reduction of one of the [OIII] lines cannot be accounted for by extinction only. We subsequently compute the SFR following Kewley et al. (2002):

(1)

In Fig. 7, we observe that the SFR associated to the strong [OIII] component is larger than the weak [OIII] one. This effect is even stronger for centred strong [OIII] components (discussed in Sect. 2.3) and especially for those which are also classified as composite (discussed in Sect. 2.1).

thumbnail Fig. 7.

Star formation ratio for each emission-line component calculated from the extinction corrected Hαλ6565 luminosity. On the x-axis (resp. y-axis), we display the SFR inferred from the strong [OIII] (weak [OIII]) component. We display the morphology (see Sect. 2.2) with different markers and indicate the BPT classification of the stronger [OIII] line as colour-coded in Fig. 1. We highlight galaxies showing off-centred weak [OIII] lines with empty markers. The dashed line corresponds to equal SFR in the two components.

3. Discussion

The sample of emission-line galaxies discussed here exhibits two peaks lying in different regions of the BPT. We show that the gas velocities of the two peaks for only 22% of the galaxies are centred on the stellar velocity (see Fig. 4). All but one of these galaxies exhibiting a symmetric kinematics are isolated, and 69% of them are classified S0. This is not the expected proportion for the morphology of field disc galaxies (e.g. van den Bergh 2009). Of the galaxies studied here, 78% have one gas peak associated to the stellar velocity, while the second one is offset. Only 33% of these galaxies with an offset kinematics are in pairs or small groups. All galaxies with the stronger [OIII] component classified as composite (see Fig. 1) have a stellar velocity associated to this component (Fig. 4).

We do not find any significant extinction bias between the two peaks, and the optical snapshots do not reveal any asymmetric features. Similarly, one might look to off-centred circumnuclear discs for an explanation, such as those observed in NGC 1068 (García-Burillo et al. 2017) or the off-centring of the AGN within the sphere of influence of the blackhole (Combes et al. 2019). However, it seems difficult to recover these relatively small scale features with a 3″ fiber. Again non-resolved triaxial structures or bars in the central regions might also produce a large velocity gradient and possibly a double peak feature, but it would be difficult to account for the observed off-centring of one component. In addition, this cannot account for the unusual morphological types of this sample.

On the one hand, half of the sample is composed of merger and late-type galaxies. As displayed in Fig. 3, it is difficult to disentangle a double nucleus if the galaxy is distant. It is therefore possible that the number of mergers is underestimated. On the other hand, half of the sample is composed of S0 galaxies; while the number of S0 is estimated larger in clusters of galaxies (28% according to van den Bergh (2009)), our sample is mainly composed of isolated galaxies or galaxies in small groups.

Those galaxies are actively forming stars; they lie in the upper-mass range of the star-forming main sequence (see Fig. 5). They are characterised by an enhanced star formation activity at their centre (see Fig. 6) and they also host an AGNs. Furthermore, we find the SFR to be higher in the stronger [OIII] component (Fig. 7). This effect is even more distinctive for strong [OIII] components classified as composite, which is counter intuitive since the weaker component is classified as SF.

Beside their morphological appearance, the S0 galaxies of this sample exhibit the same properties as the other galaxies of the sample. The origin of the S0 galaxies has been widely debated. While gas ejection by AGNs has been proposed (e.g. van den Bergh 2009), it has also been shown that S0 galaxies could result from major and minor mergers (e.g. Eliche-Moral et al. 2018), which is supported here by the fact that some tidal features are observed around some of them. These different points suggest that we might observe some mergers as well as ultimate phases of merging: galaxies with a double nucleus not resolved in the images or post-mergers (S0) with a central asymmetry. Fraser-McKelvie et al. (2018) proposed that large-mass S0 galaxies might be formed by mergers, as studied by Eliche-Moral et al. (2018). Given the known co-evolution of SF and accretion of the black hole, the AGN activity can be concomitant with an enhancement of SFR (e.g. Mihos & Hernquist 1994; Sancisi et al. 2008).

Lastly, there remains the possibility that the off-centred component is linked to an outflow of gas. Asymmetries in emission lines are known to be connected to gas outflow (Heckman et al. 1981; Whittle 1985). Such evidence is based on large field studies. Greene & Ho (2005) and Woo et al. (2016) used double-Gaussian emission line structures in the [OIII] line only, while spectroscopic integral field unit studies show a difference in the velocity dispersion of the two lines (Sharp & Bland-Hawthorn 2010; Karouzos et al. 2016), which is not the case here. These observations are consistent with measured outflows creating high-offset velocity dispersion of around 1300 km s−1 (Rupke & Veilleux 2013), even though smaller outflow velocities of the order of 100 km s−1 have been observed in NGC 5929 (Riffel et al. 2014) corresponding to double-peaks in the [OIII] line. We cannot exclude that our observations correspond to an outflow of gas which might explain an offset component.

4. Conclusion

We present a sample of 58 double-peaked galaxies, displaying a single strong peak in the [OIII]λ5008 corresponding to one of the Hαλ6565 components. The two components are classified differently according to the BPT diagnostics, with one peak corresponding to an AGN or a composite region and the second one in the composite or SF region. In addition, we observe an off-centring of one of the components with respect to the stellar velocity in 78% of the galaxies of the sample studied here. In addition, these massive galaxies (∼1011M) are actively forming stars with a central enhancement, and 45% of them are S0 galaxies. The large majority (67%) are isolated galaxies, while the others are hosted in small groups (with 2–5 galaxies), but one in a small cluster (of 27 galaxies). We can therefore exclude that this high fraction of S0 galaxies is due to the environment. Given the galactic nuclei and star formation activities of these galaxies, we cannot exclude that we are observing gas outflows; additional observations, for example of molecular gas, are required in order to come to any firm conclusion. In the meantime, it is probable that these kinematic signatures are linked to merging activity.

Acknowledgments

We thank Françoise Combes for interesting suggestions, and Gary Mamon for his support of this work. ALM has benefited from support from Action Fédératrice “Cosmologie et Structuration de l’Univers”. We thank the anonymous referee for constructive comments. Funding for the SDSS and SDSS-II has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the U.S. Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society, and the Higher Education Funding Council for England. The SDSS Web Site is http://www.sdss.org/. The Legacy Surveys (http://legacysurvey.org/) consist of three individual and complementary projects: the Dark Energy Camera Legacy Survey (DECaLS; NOAO Proposal ID # 2014B-0404; PIs: David Schlegel and Arjun Dey), the Beijing-Arizona Sky Survey (BASS; NOAO Proposal ID # 2015A-0801; PIs: Zhou Xu and Xiaohui Fan), and the Mayall z-band Legacy Survey (MzLS; NOAO Proposal ID # 2016A-0453; PI: Arjun Dey). DECaLS, BASS and MzLS together include data obtained, respectively, at the Blanco telescope, Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory (NOAO); the Bok telescope, Steward Observatory, University of Arizona; and the Mayall telescope, Kitt Peak National Observatory, NOAO. The Legacy Surveys project is honoured to be permitted to conduct astronomical research on Iolkam Du‘ag (Kitt Peak), a mountain with particular significance to the Tohono O’odham Nation.

References

  1. Baldwin, J. A., Phillips, M. M., & Terlevich, R. 1981, PASP, 93, 5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Bell, E. F., Papovich, C., Wolf, C., et al. 2005, ApJ, 625, 23 [NASA ADS] [CrossRef] [Google Scholar]
  3. Bellocchi, E., Arribas, S., Colina, L., & Miralles-Caballero, D. 2013, A&A, 557, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Bergvall, N., Laurikainen, E., & Aalto, S. 2003, A&A, 405, 31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Brinchmann, J., Charlot, S., White, S. D. M., et al. 2004, MNRAS, 351, 1151 [NASA ADS] [CrossRef] [Google Scholar]
  6. Chilingarian, I. V., Zolotukhin, I. Y., Katkov, I. Y., et al. 2017, ApJS, 228, 14 [NASA ADS] [CrossRef] [Google Scholar]
  7. Cid Fernandes, R., Stasińska, G., Schlickmann, M. S., et al. 2010, MNRAS, 403, 1036 [NASA ADS] [CrossRef] [Google Scholar]
  8. Cid Fernandes, R., Stasińska, G., Mateus, A., & Vale Asari, N. 2011, MNRAS, 413, 1687 [NASA ADS] [CrossRef] [Google Scholar]
  9. Combes, F., García-Burillo, S., Audibert, A., et al. 2019, A&A, 623, A79 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Comerford, J. M., Nevin, R., Stemo, A., et al. 2018, ApJ, 867, 66 [Google Scholar]
  11. Croton, D. J., Springel, V., White, S. D. M., et al. 2006, MNRAS, 365, 11 [NASA ADS] [CrossRef] [Google Scholar]
  12. Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 [NASA ADS] [CrossRef] [Google Scholar]
  13. Di Matteo, P., Combes, F., Melchior, A.-L., & Semelin, B. 2007, A&A, 468, 61 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Domínguez, A., Siana, B., Henry, A. L., et al. 2013, ApJ, 763, 145 [NASA ADS] [CrossRef] [Google Scholar]
  15. Domínguez Sánchez, H., Huertas-Company, M., Bernardi, M., Tuccillo, D., & Fischer, J. L. 2018, MNRAS, 476, 3661 [NASA ADS] [CrossRef] [Google Scholar]
  16. Eliche-Moral, M. C., Rodríguez-Pérez, C., Borlaff, A., Querejeta, M., & Tapia, T. 2018, A&A, 617, A113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Fraser-McKelvie, A., Aragón-Salamanca, A., Merrifield, M., et al. 2018, MNRAS, 481, 5580 [NASA ADS] [CrossRef] [Google Scholar]
  18. García-Burillo, S., Viti, S., Combes, F., et al. 2017, A&A, 608, A56 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Ge, J.-Q., Hu, C., Wang, J.-M., Bai, J.-M., & Zhang, S. 2012, ApJS, 201, 31 [NASA ADS] [CrossRef] [Google Scholar]
  20. Greene, J. E., & Ho, L. C. 2005, ApJ, 627, 721 [NASA ADS] [CrossRef] [Google Scholar]
  21. Heckman, T. M., Miley, G. K., van Breugel, W. J. M., & Butcher, H. R. 1981, ApJ, 247, 403 [NASA ADS] [CrossRef] [Google Scholar]
  22. Kauffmann, G., Heckman, T. M., Tremonti, C., et al. 2003, MNRAS, 346, 1055 [Google Scholar]
  23. Karouzos, M., Woo, J.-H., & Bae, H.-J. 2016, ApJ, 819, 148 [NASA ADS] [CrossRef] [Google Scholar]
  24. Kereš, D., Katz, N., Weinberg, D. H., & Davé, R. 2005, MNRAS, 363, 2 [NASA ADS] [CrossRef] [Google Scholar]
  25. Kewley, L. J., Dopita, M. A., Sutherland, R. S., Heisler, C. A., & Trevena, J. 2001, ApJ, 556, 121 [Google Scholar]
  26. Kewley, L. J., Geller, M. J., Jansen, R. A., & Dopita, M. A. 2002, AJ, 124, 3135 [NASA ADS] [CrossRef] [Google Scholar]
  27. Kewley, L. J., Groves, B., Kauffmann, G., & Heckman, T. 2006, MNRAS, 372, 961 [NASA ADS] [CrossRef] [Google Scholar]
  28. Liu, X., Lazio, T. J. W., Shen, Y., & Strauss, M. A. 2018, ApJ, 854, 169 [NASA ADS] [CrossRef] [Google Scholar]
  29. Madau, P., & Dickinson, M. 2014, ARA&A, 52, 415 [NASA ADS] [CrossRef] [Google Scholar]
  30. McGaugh, S. S., Schombert, J. M., Bothun, G. D., & de Blok, W. J. G. 2000, ApJ, 533, L99 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  31. Mihos, J. C., & Hernquist, L. 1994, ApJ, 425, L13 [NASA ADS] [CrossRef] [Google Scholar]
  32. Mihos, J. C., & Hernquist, L. 1996, ApJ, 464, 641 [NASA ADS] [CrossRef] [Google Scholar]
  33. Miller, J. S., & Mathews, W. G. 1972, ApJ, 172, 593 [NASA ADS] [CrossRef] [Google Scholar]
  34. Müller-Sánchez, F., Comerford, J. M., Nevin, R., et al. 2015, ApJ, 813, 103 [NASA ADS] [CrossRef] [Google Scholar]
  35. Nevin, R., Comerford, J. M., Müller-Sánchez, F., Barrows, R., & Cooper, M. C. 2018, MNRAS, 473, 2160 [NASA ADS] [CrossRef] [Google Scholar]
  36. Osterbrock, D. E. 1989, Astrophysics of Gaseous Nebulae and Active Galactic Nuclei. Research supported by the University of California, John Simon Guggenheim Memorial Foundation, University of Minnesota, et al. (Mill Valley, CA: University Science Books), 422 [Google Scholar]
  37. Patton, D. R., Torrey, P., Ellison, S. L., Mendel, J. T., & Scudder, J. M. 2013, MNRAS, 433, L59 [NASA ADS] [CrossRef] [Google Scholar]
  38. Riffel, R. A., Storchi-Bergmann, T., & Riffel, R. 2014, ApJ, 780, L24 [NASA ADS] [CrossRef] [Google Scholar]
  39. Robaina, A. R., Bell, E. F., Skelton, R. E., et al. 2009, ApJ, 704, 324 [NASA ADS] [CrossRef] [Google Scholar]
  40. Rupke, D. S. N., & Veilleux, S. 2013, ApJ, 768, 75 [NASA ADS] [CrossRef] [Google Scholar]
  41. Sancisi, R., Fraternali, F., Oosterloo, T., & van der Hulst, T. 2008, A&ARv, 15, 189 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Sanders, D. B., & Mirabel, I. F. 1996, ARA&A, 34, 749 [NASA ADS] [CrossRef] [Google Scholar]
  43. Satyapal, S., Ellison, S. L., McAlpine, W., et al. 2014, MNRAS, 441, 1297 [NASA ADS] [CrossRef] [Google Scholar]
  44. Schawinski, K., Thomas, D., Sarzi, M., et al. 2007, MNRAS, 382, 1415 [NASA ADS] [CrossRef] [Google Scholar]
  45. Sharp, R. G., & Bland-Hawthorn, J. 2010, ApJ, 711, 818 [NASA ADS] [CrossRef] [Google Scholar]
  46. Springel, V., Di Matteo, T., & Hernquist, L. 2005, MNRAS, 361, 776 [NASA ADS] [CrossRef] [Google Scholar]
  47. Strauss, M. A., Weinberg, D. H., Lupton, R. H., et al. 2002, AJ, 124, 1810 [NASA ADS] [CrossRef] [Google Scholar]
  48. Yang, X., Mo, H. J., van den Bosch, F. C., et al. 2007, ApJ, 671, 153 [NASA ADS] [CrossRef] [Google Scholar]
  49. Whittle, M. 1985, MNRAS, 213, 1 [NASA ADS] [CrossRef] [Google Scholar]
  50. van den Bergh, S. 2009, ApJ, 702, 1502 [NASA ADS] [CrossRef] [Google Scholar]
  51. Woo, J.-H., Bae, H.-J., Son, D., & Karouzos, M. 2016, ApJ, 817, 108 [NASA ADS] [CrossRef] [Google Scholar]

Appendix A: Additional table and figures

thumbnail Fig. A.1.

Emission lines of other representative double-peak galaxies. The first two panels at the top are classified S0 galaxies, while the last two panels correspond to LTGs. The same colour coding is used as in Fig. 2.

Table A.1.

Merger candidates sorted by redshift.

thumbnail Fig. A.2.

Diagnostic diagram introduced by Cid Fernandes et al. (2010) as an alternative to the BPT classification (see Fig. 1). A topological separation classifies galaxies into star forming galaxies (SF), strong and weak AGNs (sAGN and wAGN) and retired galaxies (RG; Cid Fernandes et al. 2011). We compute the two double-peak components of the merger candidates individually: we display the component dominating the [OIII]λ5008 line as triangles and the suppressed component as circles. We adapt the colour-coding according to the BPT classification in Fig. 1. We highlight galaxies with off-centred weak [OIII] lines by empty markers (Sect. 2.3). The majority of our classified components can be seen to be situated in the AGN region. A shift is also recognisable between the two components which correlates with the [OIII]λ5008 strength. The component dominating the [OIII] is more likely classified as a sAGN (45) and only some are wAGNs (13). The suppressed [OIII] component shows 26 sAGNs, 21 wAGNs, 8 SF and 4 RGs.

All Tables

Table A.1.

Merger candidates sorted by redshift.

All Figures

thumbnail Fig. 1.

BPT diagnostic diagram (Kewley et al. 2006) with topological classification based on Kauffmann et al. (2003), Kewley et al. (2001), and Schawinski et al. (2007). We show the two components of the double-peak galaxies: 58 triangles represent the strong [OIII] component and 33 circles the weaker [OIII] component. We display the 25 upper limits with an arrow for those galaxies, which have a suppressed component with S/N <  3. We highlight galaxies with an off-centred weak [OIII] line with an empty marker (see Sect. 2.3).

In the text
thumbnail Fig. 2.

Emission lines of one double-peak galaxy classified as a merger (Domínguez Sánchez et al. 2018) at z = 0.057, namely Hβλ4863, [OIII]λ5008, [OI]λ6302, [NII]λ 6550, Hαλ6565, [NII]λ 6586, [SII]λ6718 and [SII]λ 6733. Top left: SDSS snap-shot. Each displayed line is fitted with a double Gaussian function (with velocities fixed with the stacked spectra) as displayed by blue and red lines. The black dashed line indicates the position of the stellar velocity of the host galaxy, computed by Chilingarian et al. (2017). As in Maschmann et al. (in prep.), we indicate emission lines with a confirmed double-peak “with DP” (resp. “no DP”). Beside S/N constraints, the non-detection corresponds to a line weaker than a factor of three.

In the text
thumbnail Fig. 3.

Galaxy 150″ × 150″ snapshots sorted by redshift. We show the Legacy Survey snapshots (Dey et al. 2019) if available; otherwise we display the SDSS snapshots (Strauss et al. 2002). We highlight galaxies that are classified with a centred strong (resp. weak) [OIII] component on the stellar velocity in red (resp. yellow) and those with symmetrical kinematics with blue frames as described in Sect. 2.3.

In the text
thumbnail Fig. 4.

Velocity offsets of the two emission-line components relative to the stellar velocity of the host galaxy in units of their velocity dispersion σ. The two panels show the exact same points. On the y-axis (resp. x-axis), we display the relative offset of the weak [OIII] (strong [OIII]) component. In the upper panel, we compute error-bars and colour-code off-centred strong (resp. weak) [OIII] lines in green (resp. orange) and symmetric kinematics in black. In the lower panel, we encode the morphological classification with different marker styles and the BPT classification of the strong [OIII] component (see Fig. 1) with the colour.

In the text
thumbnail Fig. 5.

Specific star formation rate (Brinchmann et al. 2004) as a function of stellar mass (Kauffmann et al. 2003). We show as blue (resp. red) contour lines a sub-sample of LTGs (resp. ETG) selected from the RCSED catalogue (Chilingarian et al. 2017). We display our galaxy sample with their morphologies encoded with different marker styles and highlight galaxies with off-centred weak [OIII] lines with empty markers.

In the text
thumbnail Fig. 6.

Ratio of the total sSFR and the sSFR measured within the 3″ fibre by Brinchmann et al. (2004). The histogram is decomposed into different morphological types (Sect. 2.2).

In the text
thumbnail Fig. 7.

Star formation ratio for each emission-line component calculated from the extinction corrected Hαλ6565 luminosity. On the x-axis (resp. y-axis), we display the SFR inferred from the strong [OIII] (weak [OIII]) component. We display the morphology (see Sect. 2.2) with different markers and indicate the BPT classification of the stronger [OIII] line as colour-coded in Fig. 1. We highlight galaxies showing off-centred weak [OIII] lines with empty markers. The dashed line corresponds to equal SFR in the two components.

In the text
thumbnail Fig. A.1.

Emission lines of other representative double-peak galaxies. The first two panels at the top are classified S0 galaxies, while the last two panels correspond to LTGs. The same colour coding is used as in Fig. 2.

In the text
thumbnail Fig. A.2.

Diagnostic diagram introduced by Cid Fernandes et al. (2010) as an alternative to the BPT classification (see Fig. 1). A topological separation classifies galaxies into star forming galaxies (SF), strong and weak AGNs (sAGN and wAGN) and retired galaxies (RG; Cid Fernandes et al. 2011). We compute the two double-peak components of the merger candidates individually: we display the component dominating the [OIII]λ5008 line as triangles and the suppressed component as circles. We adapt the colour-coding according to the BPT classification in Fig. 1. We highlight galaxies with off-centred weak [OIII] lines by empty markers (Sect. 2.3). The majority of our classified components can be seen to be situated in the AGN region. A shift is also recognisable between the two components which correlates with the [OIII]λ5008 strength. The component dominating the [OIII] is more likely classified as a sAGN (45) and only some are wAGNs (13). The suppressed [OIII] component shows 26 sAGNs, 21 wAGNs, 8 SF and 4 RGs.

In the text

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