Abstract

We have considered the star formation properties of 1616 isolated galaxies from the 2MASS XSC (Extended Source Catalog) selected sample (2MIG) with the far-ultraviolet GALEX magnitudes. This sample was then compared with corresponding properties of isolated galaxies from the Local Orphan Galaxies (LOG) catalogue and paired galaxies. We found that different selection algorithms define different populations of isolated galaxies. The population of the LOG catalogue, selected from non-clustered galaxies in the Local Supercluster volume, mostly consists of low-mass spiral and late-type galaxies. The specific star formation rate (SSFR) upper limit in isolated and paired galaxies does not exceed the value of ∼dex(−9.4). This is probably common for galaxies of differing activity and environment (at least at z < 0.06). The fractions of quenched galaxies are nearly twice as high in the paired galaxy sample as in the 2MIG isolated galaxy sample. From the behaviour of (S)SFR versus M* relations we deduced that the characteristic value influencing evolutionary processes is the galaxy mass. However, the environmental influence is notable: paired massive galaxies with logM* > 11.5 have higher (S)SFR than isolated galaxies. Our results suggest that the environment helps to trigger the star formation in the highest mass galaxies. We found that the fraction of AGN in the paired sample is only a little higher than in our isolated galaxy sample. We assume that AGN phenomenon is probably defined by secular galaxy evolution.

1 INTRODUCTION

Recent observational and theoretical results have shown that a peak of the star formation rate (SFR) appears between z ∼2 and 3, decreasing to the present epoch (Bouwens et al. 2011; Behroozi, Wechsler & Conroy 2013; Burgarella et al. 2013, and references therein). This is likely due to the fact that evolution of bimodality in colour distribution is clearly observed, showing that the fraction of red massive (i.e. early-type) galaxies with quenched star formation is higher at z ∼ 0 than in the earlier epochs. SFR also depends on the environmental density, assuming that quenching of star formation is more efficient in high-density regions (Cucciati et al. 2006; Scoville et al. 2013; Tal et al. 2014).

Meanwhile, the dominant factor of quenching is different for the high-mass (central) and low-mass (satellite) galaxies. According to findings by Peng et al. (2010, 2012), the former galaxies preferred the self-regulated ‘mass quenching’, while quenching in latter galaxies occurred mainly due to environmental and/or merging influence (see also Tinker et al. 2013; Tal et al. 2014; Wetzel et al. 2014). However, the physical mechanisms of internal ‘mass quenching’ are still under discussion. It would appear that active galactic nuclei (AGN) feedback is the dominant regime for internal mass quenching. Occurring in high-mass galaxies, it consists in kinematic outflows (winds) from the accretion disc surrounding the black hole. This removes the cold gas from the galaxies, terminating the star formation. The theoretical underpinnings of the importance of this process are described by Khalatyan et al. (2008), Dubois et al. (2013) and others. The observational evidence is summarized in Fabian (2012), see also a statistical study by Lemaux et al. (2014). It is also noted that radio feedback observed in radio-loud AGN plays an important role in the host galaxy star formation quenching, see for example Croton et al. (2006). For example, Schawinski et al. (2014) argues that in an AGN feedback is a key factor accompanying spiral galaxy merging for quenched elliptical galaxy formation. Apparently this process could explain a formation of isolated/void early-type galaxies, where an influence of environment is minimal (Croton & Farrar 2008). It is thought that AGN feedback influence could also be positive, triggering star formation on shorter time-scales (Zinn et al. 2013; Zubovas et al. 2013). In addition to minor and major mergings, the processes of ram pressure stripping, harassment and strangulation facilitate environmental quenching. Relatively slow strangulation, where a galaxy loses its gas due to tidal effects produced by the gravitational potential of the group/cluster seems to be a more effective quenching mechanism than others (van den Bosch et al. 2008; Taranu et al. 2014).

An effective method for the study of environmental impact upon galaxy evolution is to compare the properties of galaxies from dense environments with corresponding properties of isolated galaxies, i.e. objects that have not been appreciably affected by an external influence of their environments for at least a few Gyr (see Verley et al. 2007; Karachentseva et al. 2010b). This has been confirmed by comparison between modelling results and observations, revealing that properties of isolated galaxies have been mainly influenced by internal processes. Hirschmann et al. (2013) showed that only 45 per cent of isolated galaxies have experienced at least one merger event in the past (most of the mergers are minor, with mass ratios between 1:4 and 1:10). More results and discussions on the small satellites search and their influence on isolated galaxy properties can be found in works by Verley et al. (2007), Karachentseva, Karachentsev & Melnyk (2011), Argudo-Fernandez et al. (2013) and Melnyk, Mitronova & Karachentseva (2014).

We note that the isolated galaxies are objects selected in projection on the sky or in velocity (3D) space with basic criteria of ‘no significant companions’ in a given volume (examples of the different approaches can be found in the works by Karachentseva 1973; Varela et al. 2004; Allam et al. 2005; Elyiv, Melnyk & Vavilova 2009; Hernandez-Toledo et al. 2010; Karachentseva, Karachentsev & Sharina 2010a; Karachentseva et al. 2010b, 2011).

This is the main difference between isolated galaxies and ‘non-clustered’ or ‘field’ galaxies. These are objects located outside of groups and clusters (de Vaucouleurs 1971, Turner & Gott 1977; Makarov & Karachentsev 2011; Karachentsev et al. 2012), in addition to void galaxies, selected as objects residing in low-density regions (Rojas et al. 2004; Patiri et al. 2006; Sorrentino, Antonuccio-Delogu & Rifatto 2006; von Benda-Beckmann & Muller 2008; Hoyle, Vogeley & Pan 2012; Kreckel et al. 2012; Elyiv et al. 2013).

The most discussed sample of isolated galaxies is the Catalogue of Isolated Galaxies (KIG; Karachentseva 1973).1 The catalogue includes 1050 galaxies with m ≤ 15.7 and δ > −3°, i.e. ∼4 per cent in the CGCG catalogue (Zwicky et al. 1961–1968). The largest contribution to the analysis of the KIG properties was done by the AMIGA team, with their most important results in Verley et al. (2007), Lisenfeld et al. (2007, 2011), Durbala et al. (2008), Leon et al. (2008), Sabater et al. (2008, 2012), Fernandez Lorenzo et al. (2012) and Argudo-Fernandez et al. (2013).

In Karachentseva et al. (2010), we applied slightly modified Karachentseva (1973) isolation criteria to the Two Micron All-Sky Survey Extended Source Catalog (2MASS XSC; Jarrett et al. 2000) to compile the sample of near-infrared isolated galaxies (2MIG; see details in the next section). The properties of galaxies from the 2MIG catalogue have been investigated in several works. Karachentseva et al. (2011) estimated the orbital masses and mass-to-luminosity ratios of isolated galaxies with faint companions. It was shown that these companions have a weak influence on the dynamic isolation of the 2MIG galaxies. Kudrya, Karachentseva & Karachentsev (2011) considered the statistical relations between different observational characteristics while Kudrya & Karachentseva (2012) constructed the Tully–Fisher relations for the 2MIG galaxies. Coziol et al. (2011) made an extensive analysis of AGN impact in the 2MIG sample, concluding that this AGN phenomenon is closely connected with the internal factor of galaxy evolution. Pulatova et al. (2015) reached a similar conclusion, making a multiwavelength analysis of 36 2MIG galaxies displaying AGN. Anderson, Bregman & Dai (2013) investigated a large sample of X-ray selected 2MIGs observed with ROSAT, reporting an extended emission presence around a significant part of the isolated galaxy sample. Melnyk et al. (2014) considered the near-infrared and optical colours of the 2MIG galaxies, comparing them with corresponding colours of galaxies located in denser regions. It was found that in general, 2MIG galaxies have a bluer colour than galaxies in pairs/groups, except the most compact pairs which are a little bluer than the 2MIGs, possibly due to recent merging events.

In this paper, we also consider the Local Orphan Galaxies (LOG; Karachentsev et al. 2011) catalogue, which was compiled from the field (non-clustered) galaxies within the Local Supercluster (LS) volume by applying the isolation criteria used by Karachentseva (1973). Applying the KIG isolation criterion to the flux-limited CGCG galaxy catalogue, Karachentseva (1973) selected ∼4 per cent isolated galaxies. The use of the slightly modified KIG criterion to the 2MASS XSC catalogue (also flux-limited) giving ∼6 per cent isolated galaxies. Essentially, we assume that isolated galaxies exist but are not numerous. When compiling the LOG catalogue (volume-limited) we took these percentages into account and fixed the 5 per cent level as typical for isolated galaxies.

Karachentsev et al. (2013a) studied the star formation properties of the LOG galaxies and found that the specific star formation rate (SSFR = SFR/M*) upper limit does not exceed the value of logSSFR = −9.4 [yr−1]. This agrees with the corresponding upper limits for the galaxies from the Local Universe located in different environments (Karachentsev & Kaisina 2013) and for galaxies of different activity types in the Markarian sense (Karachentseva, Melnyk & Karachentsev 2014).

The current paper is a continuation of our previous investigations of basic properties of the 2MIG isolated galaxy sample, focusing upon the SFR properties. We aim to develop a better understanding of the level of the star formation in the Local Universe. We define this as SFR and SSFR versus stellar mass M* and other relations for the 2MIGs and compare them with corresponding relations for the LOG isolated galaxy population, compiled from a different primary sample with different selection conditions. We also study the environmental influence on star formation quenching/triggering, comparing the 2MIG properties with those of galaxies from the wide/compact pairs.

In Section 2, we present the isolation criteria for the 2MIG and LOG sample selection and describe data used in the paper. In Section 3, we discuss the star formation properties of the 2MIG and LOG isolated galaxies. The results of a comparison of the basic SFR relations and AGN contamination for isolated and paired galaxies are given in Section 4. In Section 5, we give a summary of our results and the main conclusions.

2 THE DATA

2.1 The 2MIG catalogue

The 2MIG entire sky catalogue of isolated galaxies (Karachentseva et al. 2010b) was selected from 1.6 million objects of the 2MASS XSC (Jarrett et al. 2000; Skrutskie et al. 2006). Selection of objects was performed twice:

  • automatically according to the original criteria of isolation by Karachentseva (1973) adapted to the 2MASS data:
    (1)
    and
    (2)
    where subscripts ‘1’ and ‘i’ refer to the fixed galaxy and its neighbours, respectively. Essentially, a galaxy with a standard angular diameter a1 is considered to be isolated if its angular separation X1i from all its neighbours with significant angular diameters ai inside interval (2) is equal to or exceeds 30ai.
  • visual inspecting of the images (DSS1,22 and SDSS3) of all isolated candidates to identify visible neighbours. Visual inspection allowed us to physically eliminate multiple systems with blue neighbours missed in the automatic selection (see details in Karachentseva et al. 2010b). Finally, the 2MIG catalogue consists of 3227 galaxies brighter than Ks = 12 mag and with angular diameters aKs ≥ 30 arcsec. We found approximately 6 per cent of isolated galaxies among the 51 572 extended sources of the 2MASS XSC survey.

In total, 2869 from the 3227 2MIG galaxies have radial velocities according to the NED4 and HyperLeda5 data bases. We removed 23 galaxies from the 2MIG list due to the presence of significant companions in their neighbourhood, or otherwise their protometry was contaminated by a projected star: 2MIG90, 174, 243, 320,6 586, 1137, 1172, 1548, 1809, 1819, 1822, 1949, 1970, 1988, 2242, 2243, 2249, 2285, 2585, 2976, 2989, 3143, 3193, and 3201. Therefore, in this paper we consider only 1616 isolated galaxies having far-ultraviolet (FUV) magnitudes (see the next subsection). The morphological types of galaxies in the paper correspond to the digital scale: −2 – E, 0 – S0, 1 – S0a/Sa, 2 – Sab, 3 – Sb, 4 – Sbc, 5 – Sc, 6 – Scd, 7 – Sd, 8 – Sdm, 9 – Im, 10 – Ir. We note that near 7 per cent of the catalogue galaxies have different morphologies in comparison to the types noted in primary 2MIG catalogue (Karachentseva et al. 2010b). These morphological types were revised according to SDSS DR10 images and the classification used by Coziol et al. (2011), see also Melnyk et al. (2014).

2.2 The LOG catalogue

The isolated galaxies for the LOG list were selected from the primary catalogue of ∼11 000 galaxies within the volume of the LS VLG < 3500 km s−1 at the Galactic latitudes |b| > 15°. At first, only galaxies from the primary galaxy catalogue of the virialized groups were selected. For that, Makarov & Karachentsev (2011) used a modified percolation method. This takes into account the individual characteristics of galaxies and the following conditions:
(3)
where V12 is the velocity difference between two galaxies, R12 is the corresponding projected distance, G is the gravitational constant and M12 is the total mass of the pair. Each galaxy mass was calculated using condition M/LK = κ M/L, LK is the 2MASS Ks-band luminosity while κ = 6 is the empirical coefficient. The condition (3) means that a total energy of the physical pair must be negative and supplemented by condition (4), according to which the pair of components should remain within the sphere of ‘zero-velocity’:
(4)
where H0 is the Hubble constant. All the pairs satisfying conditions (3) and (4) with a common main component were combined into a group. Therefore, a primary sample of ∼11 000 galaxies was divided into ‘clusterized’ galaxies, i.e. 54 per cent are located in virialized groups, and ‘non-clusterized’ galaxies. The candidates for isolated galaxies were chosen by application of the clusterization algorithm to all galaxies with empirical coefficient k = κ · 40 = 240. If, at this strong condition, a galaxy still remained ‘non-clustered’ it was considered as a candidate to the isolated one (see more details in Karachentsev et al. 2011). Among 990 isolated candidates, the true isolated galaxies were chosen by application of the Karachentseva (1973) selection criteria, i.e. visual inspection of all targets and their environments. As a result, the LOG catalogue consists of 520 isolated galaxies, 3 of which were excluded as non-isolated (Karachentsev et al. 2013a). In this paper, we consider 428 LOG galaxies with FUV measurements (see Section 2.3).

2.3 The photometry and formulas

The current 2MIG and LOG samples consist of 1616 and 428 galaxies, respectively. These samples were observed with the GALEX telescope7 in far-ultraviolet (FUV, λeff = 1539 Å, FWHM = 269 Å) wavelength. The photometry was taken from the GALEX pipeline All-Sky catalogue,8 while the photometry for the nearest large diameter galaxies were taken from Gil de Paz et al. (2007), Karachentsev et al. (2013a) and Karachentsev, Makarov & Kaisina (2013b). Since UV wavelengths are direct tracers of young, massive stars and FUV flux is one the most reliable indicators of the SFR (Lee et al. 2009), the global rate of star formation in a galaxy, SFRFUV, was calculated according to Kennicutt (1998a; see also Salim et al. 2007; Lee at al. 2009):
(5)
where Lν is expressed in erg s−1 Hz−1.
It is known that mid-infrared (IR) emission is an indirect tracer of SFR. This is due to re-emission starlight on small-grain dust (for details see review by Calzetti 2013). We took into account the IR impact into SFR using the WISE9W4 (22 μm) mid-IR band from the pipeline catalogue. At first we calculated SFRIR calibrated by Jarrett et al. (2013):
(6)
We then defined the total (FUV+IR) star formation rate, SFRtot as in Jarrett et al. (2013):
(7)

Since the stellar population of galaxies has an average mass-to-luminosity ratio in the K-band M/L ∼ 1 (Bell et al. 2003, see also Jarrett et al. 2013), the stellar masses of galaxies were derived from Ks luminosity. A similar approach was also applied in previous works by Karachentsev et al. (2013a, 2013b, Karachentseva et al. 2014) and Karachentsev & Kaisina (2013) with which we compare our results.10 In this work, we used the total Ks-band magnitudes from 2MASX catalogue, the Ks absolute magnitude of Sun is 3.32 (Jarrett et al. 2013).

The specific star formation rate SSFR is an SFR per mass unit, expressed in yr−1:
(8)

Galactic extinction for Ks and FUV bands was calculated using E(B − V) values according to the Schlegel, Finkbeiner & Davis (1998) maps and the Cardelli, Clayton & Mathis (1989) extinction law where Rv = 3.1. Internal absorption in galaxies was taken into account with values of 0.085× ai and 1.93× ai for Ks and FUV bands, respectively. The coefficients were taken from Karachentsev et al. (2013b) and the value of ai – the internal galaxy extinction in the B band taken from the Hyperleda. The WISEW4 band was neither corrected for neither Galactic nor internal extinctions.

The hydrogen mass of the galaxy was calculated using the formula from Roberts & Haynes (1994):
(9)
where |$M_{\rm H\,\small {I}}$| is expressed in solar masses, D = VLG/H0 in Mpc, VLG is a galaxy radial velocity corrected for the motion of the Local Group centroid with apex parameters taken from Karachentsev & Makarov (1996) and H0 = 72 km s−1 Mpc−1. The flux |$F_{\rm H\,\small {I}}$| in Jy km s−1 was calculated as log|$F_{\rm H\,\small {I}}$| = 0.4|$^{(17.4-m_{21c})}$|⁠, where m21c is a magnitude corrected for galaxy inclination taken from the Hyperleda. The m21c data were available only for 663 2MIG galaxies (41 per cent) and 389 LOGs (91 per cent) of the samples with FUV data.
The evolutionary state of the galaxy was characterized by the dimensionless parameters P (Past) and F (Future) proposed by Karachentsev & Kaisin (2007):
(10)
(11)

It should be noted that the parameter P represents SSFR taken over the entire age of the Universe, T0 = 13.7 Gyr. The F parameter corresponds to the notion of gas depletion time, expressed in units of T0. The coefficient 1.85 at |$M_{\rm H\,\small {I}}$| takes into account the contribution of helium and molecular hydrogen to the total mass of the gas (Fukugita & Peebles 2004).

Throughout the paper, the 2MASX Ks and the WISEW1 (3.4 μm), W2 (4.6 μm), W3 (12 μm) and W4 (22 μm) magnitudes are in the Vega system, except cases where the AB magnitude system is specified. The GALEX FUV magnitudes are always in the AB system.

3 STAR FORMATION PROPERTIES OF ISOLATED GALAXIES FROM THE 2MIG AND LOG SAMPLES

3.1 Types and masses

In this section, we describe the basic sample distributions of the 2MIG galaxies in comparison with the LOG isolated galaxy catalogue. These were selected from totally different galaxy samples applying different selection algorithms (see Sections 2.1 and 2.2.). Fig. 1 presents the radial velocity distribution of the 2MIG sample. Note that the LOG sample is limited by the LS volume VLG < 3500 km s−1. Fig. 2 compares the 2MIG's and LOG's morphological type and stellar mass distributions (on the left-hand and middle panels, respectively) and dependence of stellar mass on galaxy morphological type (on the right). We also show in Fig. 2 the same dependences for the 2MIG sample in the same volume as the LOG samples (2MIG LS). As can be seen, the galaxies in the LOG catalogue have significantly latter morphological types than the 2MIG galaxies. They are up to two orders of magnitude less massive than the 2MIG galaxies even within the same morphological type.

Radial velocity distribution for the full 2MIG sample considered in this work, N = 1616.
Figure 1.

Radial velocity distribution for the full 2MIG sample considered in this work, N = 1616.

Left: the morphological type distribution for the full 2MIG (N = 1616), 2MIG LS (VLG < 3500 km s−1, N = 258) and LOG (N = 428) samples; Middle: stellar mass distribution; Right: dependence of stellar mass on morphological galaxy type.
Figure 2.

Left: the morphological type distribution for the full 2MIG (N = 1616), 2MIG LS (VLG < 3500 km s−1, N = 258) and LOG (N = 428) samples; Middle: stellar mass distribution; Right: dependence of stellar mass on morphological galaxy type.

We see that different selection algorithms applied to 2D and 3D primary samples define different populations of isolated galaxies. The population of the LOG galaxies mostly consists of low-mass spiral and late-type galaxies which are preferably located in globally low-density regions, in particular in voids (Elyiv et al. 2013). The population of the 2MIGs, in contrast, is totally different: it consists of normal mass, companion-less galaxies of predominantly early-type spirals. These are located in local regions of low density. From Fig. 2, follows that galaxies in the volume limited 2MIG LS sample are significantly massive that the LOG galaxies. Moreover, we have only 16 coincident 2MIG LS–LOG galaxies (6 per cent from the 2MIG LS sample).

3.2 SFRs and neutral hydrogen fraction

Fig. 3 (left-hand panel) shows the fraction of neutral hydrogen as a function of stellar mass. The fraction of neutral hydrogen increases with decreasing galaxy mass. The lines represent the linear regressions for three samples 2MIG, LOG and 2MIG LS. We see that all slopes are similar; however, the relation for the 2MIG sample is flatter because of a smaller fraction of galaxies with high fraction of neutral hydrogen and high fraction of galaxies with moderate and higher stellar masses. The slope for the 2MIG LS sample is a somewhat steeper. The E, M and L morphological type division has the effect of separating the total morphological scale into three groups: early-type galaxies (E) −2 to 1, spiral ‘middle’ types (M) 2–5 and late types (L) 6–10. In total, 20 per cent, 47 per cent and 66 per cent of our E, M and L galaxies, respectively, are detected in H i meaning that these galaxies are still have significant gas reservoirs. Note, that only 663 2MIG galaxies and 389 LOG galaxies in the Hyperleda have H i measurements, 41 and 91 per cent from the total numbers, respectively.

Left: the fraction of neutral hydrogen as a function of stellar mass. The lines show linear regressions for different samples as noted in figure: log$M_{\rm H\,\small {I}}/M_{*}$ = −0.36 × logM*+2.87, log$M_{\rm H\,\small {I}}/M_{*}$ = −0.54 × logM*+4.64 and log$M_{\rm H\,\small {I}}/M_{*}$ = −0.47 × logM*+3.87 for 2MIG (N = 663), LOG (N = 473) and 2MIG LS (N = 268), respectively. Right: the SFR as a function of hydrogen mass, the line has a slope of 3/2, representing the Schmidt–Kennicutt law (Kennicutt 1998b). The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types.
Figure 3.

Left: the fraction of neutral hydrogen as a function of stellar mass. The lines show linear regressions for different samples as noted in figure: log|$M_{\rm H\,\small {I}}/M_{*}$| = −0.36 × logM*+2.87, log|$M_{\rm H\,\small {I}}/M_{*}$| = −0.54 × logM*+4.64 and log|$M_{\rm H\,\small {I}}/M_{*}$| = −0.47 × logM*+3.87 for 2MIG (N = 663), LOG (N = 473) and 2MIG LS (N = 268), respectively. Right: the SFR as a function of hydrogen mass, the line has a slope of 3/2, representing the Schmidt–Kennicutt law (Kennicutt 1998b). The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types.

On the right-hand panel of Fig. 3 we plotted the SFR (FUV) as a function of hydrogen mass for the 2MIG galaxies. The line represents the well-known Schmidt–Kennicutt law with slope α = 3/2 (Kennicutt 1998b). We see that galaxies of all types are located very symmetrically, however the scatter for early-type galaxies are larger. The existence of early-type galaxies with high SFRFUV and small hydrogen mass may tell us that their UV light may originate not only from the young stars.

Fig. 4 presents the star formation rate SFRFUV as a function of stellar mass for the 2MIG LS and LOG samples (left-hand panel) and full 2MIG sample with E, M and L united morphological type division (middle panel). The right-hand panel the same, excepting that total star formation rate SFRtot calculated by formula (7). This was done using a linear combination of SFRFUV and SFRIR. From the comparison of the LOG and 2MIG LS samples we conclude that the LOG population ‘completes’ logSFRFUV versus log M* main sequence to the low-mass end. In each figure we clearly see the separation between two concentrations: the main-sequence and so-called quenched or red and dead galaxies. We will refer to these concentrations as to non-quenched (nQ) and quenched (Q) galaxies in order to have a non-visual classification. The border between these two regions may be roughly defined as FUV − K (AB) = 6.6 and is marked by the red line in Figs 4 and 8. The nQ concentration consists of mainly M and L galaxies (85 per cent); however, the Q concentration is formed predominantly by E galaxies (82 per cent), according to our visually defined types. In total, 95 per cent of our M+L galaxies are located on the main sequence and, correspondingly, only 5 per cent of them are quenched. Meanwhile, 60 per cent of E-type galaxies are located in the Q region while the rest, 40 per cent, are main sequence, i.e. still show signs of star formation. This is confirmed by the fact that at least 33 per cent of E-type galaxies in nQ region are detected in H i (49 per cent of all nQ galaxies have H i detections), while only 10 per cent of E-type galaxies in the Q region still have neutral hydrogen (11 per cent of all Q galaxies have H i detections). According to Schawinski et al. (2014) this evidences the fact that star formation of elliptical galaxies was quenched rapidly by rapid removal of the gas, contrary to spiral/late-type galaxies. In this case, star formation halted far slower due to gradual gas loses driven by secular and/or environmental processes.

Left: the SFR (FUV) as a function of stellar mass for the 2MIG LS and LOG samples, N = 258 versus N = 428, respectively. Middle: the SFR (FUV) as a function of stellar mass for the full 2MIG sample, N = 1616. Right: the total (FUV+IR) SFR versus stellar mass for the full 2MIG sample. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types. The red line divides the quenched (Q) and non-quenched (nQ) subsamples corresponding to the FUV − K (AB) = 6.6 threshold.
Figure 4.

Left: the SFR (FUV) as a function of stellar mass for the 2MIG LS and LOG samples, N = 258 versus N = 428, respectively. Middle: the SFR (FUV) as a function of stellar mass for the full 2MIG sample, N = 1616. Right: the total (FUV+IR) SFR versus stellar mass for the full 2MIG sample. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types. The red line divides the quenched (Q) and non-quenched (nQ) subsamples corresponding to the FUV − K (AB) = 6.6 threshold.

3.3 SFRIR versus SFRFUV

Table 1 represents the mean and median values of logSFRFUV, logSSFRFUV, logSFRtot and logSSFRtot for the full 2MIG sample and its varying subsamples. It follows from Table 1 that the ratio between SFRtot calculated from SFRIR and SFRFUV using (7), and SFRFUV is somewhat different for E, M, L, Q and nQ types: 3.4, 1.9, 1.3, 4.3 and 1.8 times, respectively. The distributions of ratio SFRIR/SFRFUV for Q-, nQ- and H i-detected galaxies are shown in Fig. 5. Apparently, our Q (i.e. also E) galaxies have higher ratios of SFRIR/SFRFUV than the other types. Normally, the ellipticals do not contain much dust, except for giant elliptical galaxies as a result of mergers. However, the mid-IR emission in early-type galaxies can contain a large contribution (an order of magnitude stronger) from intermediate-age and older stellar populations than from the young stars (see references in Calzetti 2013; Salim et al. 2012; Jarrett et al. 2013). In Table 2, we show some. characteristics of galaxies from the 2MIG sample with the highest ratios of SFRIR/SFRFUV > 50. We see that only a few galaxies have SDSS spectra. However, 2MIG417 and 2MIG1573 have AGN according to the NED. Moreover, these galaxies have high W1-W2 (WISE) IR colours that allow them to be considered as having bright IR AGN (see Section 4.2 for the details). 2MIG1155 is a very local galaxy with an enormously high SFRIR/SFRFUV = 2689 ratio. The WISEW4 magnitude (0.482) agrees with Herschel 24 μm MIPs measurement (5.2 Jy; Bendo, Galliano & Madden 2012). The galaxy also contains a small fraction of neutral hydrogen. We assume that 2MIG1155 could be a starburst due to the value of logSSFRtot = −9.58 and by taking into account its location on colour–colour plot in Fig. 12 (starburst region; Jarrett et al. 2011). In general, all galaxies listed in Table 2 are located in or near that region: see for example the localization of 2MIG1840 and 2MIG842 in Fig. 12 (second and third galaxy with the highest levels of SFRIR/SFRFUV).

Distribution of SFRIR and SFRFUV ratios for quenched (Q) and non-quenched (nQ) 2MIG galaxies, N = 341 and N = 1275, respectively. H i-detected galaxies of all morphological types are also shown (N = 663).
Figure 5.

Distribution of SFRIR and SFRFUV ratios for quenched (Q) and non-quenched (nQ) 2MIG galaxies, N = 341 and N = 1275, respectively. H i-detected galaxies of all morphological types are also shown (N = 663).

Table 1.

The mean with standard deviation (SD) and median values in the quartile range (Q) of SFRs and SSFRs in the 2MIG galaxies. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types, Q for the quenched (FUV−K (AB) > 6.6) and nQ for the non-quenched (FUV−K (AB) < 6.6) galaxies.

SamplelogSFRFUV (M yr−1)logSSFRFUV (M yr−1)logSFRtot (yr−1)logSSFRtot (yr−1)
NMean ± SDMedian ± QMean ± SDMedian ± QMean ± SDMedian ± QMean ± SDMedian ± Q
All1616−0.38 ± 0.710.21|$^{+0.37}_{-0.61}$|−11.26 ± 0.80−11.13|$^{+0.41}_{-0.65}$|−0.04 ± 0.610.08|$^{+0.32}_{-0.48}$|−10.92 ± 0.65−10.78|$^{+0.30}_{-0.54}$|
E470−1.04 ± 0.71−1.08|$^{+0.60}_{-0.49}$|−12.05 ± 0.70−12.15|$^{+0.67}_{-0.48}$|−0.51 ± 0.68−0.52|$^{+0.53}_{-0.48}$|−11.51 ± 0.68−11.65|$^{+0.67}_{-0.42}$|
M969−0.10 ± 0.50−0.01|$^{+0.27}_{-0.35}$|−11.04 ± 0.53−10.97|$^{+0.27}_{-0.37}$|0.19 ± 0.430.23|$^{+0.25}_{-0.30}$|−10.75 ± 0.44−10.69|$^{+0.21}_{-0.31}$|
L177−0.14 ± 0.53−0.06|$^{+0.27}_{-0.34}$|−10.42 ± 0.55−10.40|$^{+0.39}_{-0.40}$|−0.04 ± 0.510.02|$^{+0.29}_{-0.35}$|−10.32 ± 0.47−10.34|$^{+0.34}_{-0.29}$|
Q341−1.42 ± 0.47−1.41|$^{+0.34}_{-0.33}$|−12.49 ± 0.33−12.50|$^{+0.29}_{-0.24}$|−0.79 ± 0.55−0.82|$^{+0.38}_{-0.35}$|−11.86 ± 0.49−11.95|$^{+0.26}_{-0.24}$|
nQ1275−0.10 ± 0.46−0.05|$^{+0.29}_{-0.32}$|−10.94 ± 0.52−10.93|$^{+0.32}_{-0.36}$|0.16 ± 0.440.21|$^{+0.31}_{-0.26}$|−10.67 ± 0.43−10.65|$^{+0.25}_{-0.29}$|
SamplelogSFRFUV (M yr−1)logSSFRFUV (M yr−1)logSFRtot (yr−1)logSSFRtot (yr−1)
NMean ± SDMedian ± QMean ± SDMedian ± QMean ± SDMedian ± QMean ± SDMedian ± Q
All1616−0.38 ± 0.710.21|$^{+0.37}_{-0.61}$|−11.26 ± 0.80−11.13|$^{+0.41}_{-0.65}$|−0.04 ± 0.610.08|$^{+0.32}_{-0.48}$|−10.92 ± 0.65−10.78|$^{+0.30}_{-0.54}$|
E470−1.04 ± 0.71−1.08|$^{+0.60}_{-0.49}$|−12.05 ± 0.70−12.15|$^{+0.67}_{-0.48}$|−0.51 ± 0.68−0.52|$^{+0.53}_{-0.48}$|−11.51 ± 0.68−11.65|$^{+0.67}_{-0.42}$|
M969−0.10 ± 0.50−0.01|$^{+0.27}_{-0.35}$|−11.04 ± 0.53−10.97|$^{+0.27}_{-0.37}$|0.19 ± 0.430.23|$^{+0.25}_{-0.30}$|−10.75 ± 0.44−10.69|$^{+0.21}_{-0.31}$|
L177−0.14 ± 0.53−0.06|$^{+0.27}_{-0.34}$|−10.42 ± 0.55−10.40|$^{+0.39}_{-0.40}$|−0.04 ± 0.510.02|$^{+0.29}_{-0.35}$|−10.32 ± 0.47−10.34|$^{+0.34}_{-0.29}$|
Q341−1.42 ± 0.47−1.41|$^{+0.34}_{-0.33}$|−12.49 ± 0.33−12.50|$^{+0.29}_{-0.24}$|−0.79 ± 0.55−0.82|$^{+0.38}_{-0.35}$|−11.86 ± 0.49−11.95|$^{+0.26}_{-0.24}$|
nQ1275−0.10 ± 0.46−0.05|$^{+0.29}_{-0.32}$|−10.94 ± 0.52−10.93|$^{+0.32}_{-0.36}$|0.16 ± 0.440.21|$^{+0.31}_{-0.26}$|−10.67 ± 0.43−10.65|$^{+0.25}_{-0.29}$|
Table 1.

The mean with standard deviation (SD) and median values in the quartile range (Q) of SFRs and SSFRs in the 2MIG galaxies. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types, Q for the quenched (FUV−K (AB) > 6.6) and nQ for the non-quenched (FUV−K (AB) < 6.6) galaxies.

SamplelogSFRFUV (M yr−1)logSSFRFUV (M yr−1)logSFRtot (yr−1)logSSFRtot (yr−1)
NMean ± SDMedian ± QMean ± SDMedian ± QMean ± SDMedian ± QMean ± SDMedian ± Q
All1616−0.38 ± 0.710.21|$^{+0.37}_{-0.61}$|−11.26 ± 0.80−11.13|$^{+0.41}_{-0.65}$|−0.04 ± 0.610.08|$^{+0.32}_{-0.48}$|−10.92 ± 0.65−10.78|$^{+0.30}_{-0.54}$|
E470−1.04 ± 0.71−1.08|$^{+0.60}_{-0.49}$|−12.05 ± 0.70−12.15|$^{+0.67}_{-0.48}$|−0.51 ± 0.68−0.52|$^{+0.53}_{-0.48}$|−11.51 ± 0.68−11.65|$^{+0.67}_{-0.42}$|
M969−0.10 ± 0.50−0.01|$^{+0.27}_{-0.35}$|−11.04 ± 0.53−10.97|$^{+0.27}_{-0.37}$|0.19 ± 0.430.23|$^{+0.25}_{-0.30}$|−10.75 ± 0.44−10.69|$^{+0.21}_{-0.31}$|
L177−0.14 ± 0.53−0.06|$^{+0.27}_{-0.34}$|−10.42 ± 0.55−10.40|$^{+0.39}_{-0.40}$|−0.04 ± 0.510.02|$^{+0.29}_{-0.35}$|−10.32 ± 0.47−10.34|$^{+0.34}_{-0.29}$|
Q341−1.42 ± 0.47−1.41|$^{+0.34}_{-0.33}$|−12.49 ± 0.33−12.50|$^{+0.29}_{-0.24}$|−0.79 ± 0.55−0.82|$^{+0.38}_{-0.35}$|−11.86 ± 0.49−11.95|$^{+0.26}_{-0.24}$|
nQ1275−0.10 ± 0.46−0.05|$^{+0.29}_{-0.32}$|−10.94 ± 0.52−10.93|$^{+0.32}_{-0.36}$|0.16 ± 0.440.21|$^{+0.31}_{-0.26}$|−10.67 ± 0.43−10.65|$^{+0.25}_{-0.29}$|
SamplelogSFRFUV (M yr−1)logSSFRFUV (M yr−1)logSFRtot (yr−1)logSSFRtot (yr−1)
NMean ± SDMedian ± QMean ± SDMedian ± QMean ± SDMedian ± QMean ± SDMedian ± Q
All1616−0.38 ± 0.710.21|$^{+0.37}_{-0.61}$|−11.26 ± 0.80−11.13|$^{+0.41}_{-0.65}$|−0.04 ± 0.610.08|$^{+0.32}_{-0.48}$|−10.92 ± 0.65−10.78|$^{+0.30}_{-0.54}$|
E470−1.04 ± 0.71−1.08|$^{+0.60}_{-0.49}$|−12.05 ± 0.70−12.15|$^{+0.67}_{-0.48}$|−0.51 ± 0.68−0.52|$^{+0.53}_{-0.48}$|−11.51 ± 0.68−11.65|$^{+0.67}_{-0.42}$|
M969−0.10 ± 0.50−0.01|$^{+0.27}_{-0.35}$|−11.04 ± 0.53−10.97|$^{+0.27}_{-0.37}$|0.19 ± 0.430.23|$^{+0.25}_{-0.30}$|−10.75 ± 0.44−10.69|$^{+0.21}_{-0.31}$|
L177−0.14 ± 0.53−0.06|$^{+0.27}_{-0.34}$|−10.42 ± 0.55−10.40|$^{+0.39}_{-0.40}$|−0.04 ± 0.510.02|$^{+0.29}_{-0.35}$|−10.32 ± 0.47−10.34|$^{+0.34}_{-0.29}$|
Q341−1.42 ± 0.47−1.41|$^{+0.34}_{-0.33}$|−12.49 ± 0.33−12.50|$^{+0.29}_{-0.24}$|−0.79 ± 0.55−0.82|$^{+0.38}_{-0.35}$|−11.86 ± 0.49−11.95|$^{+0.26}_{-0.24}$|
nQ1275−0.10 ± 0.46−0.05|$^{+0.29}_{-0.32}$|−10.94 ± 0.52−10.93|$^{+0.32}_{-0.36}$|0.16 ± 0.440.21|$^{+0.31}_{-0.26}$|−10.67 ± 0.43−10.65|$^{+0.25}_{-0.29}$|
Table 2.

2MIG galaxies with the highest ratio of SFRIR/SFRFUV

2MIGNameTlog|$M_{\rm H\,\small {I}}/M_*$|logSFRtot (M yr−1)SFRIR/SFRFUVAGNAGNW1 − W2Comment
87MCG-02-03-00400.29990.07na
417MCG-02-09-04000.5196Sy2, NED0.62n
4282MASXJ03304719-67470560−0.21920.11n
722ESO159-0190−0.07540.17n
842ESO206-01330.174300.06n
1142MCG-03-22-0021−0.15550.05Disturbed?
1155ESO495-021−2−1.26−0.0526890.42Compact, starburst?
1443CGCG266-05000.4496n0.15Dusty, disturbed?, 2 sat?b
15732MASXJ11240275-282315530.3274AGN, NED1.51n
1840IC08600−2.720.72812n0.141 small sat + 2 sat?
1987UGC 0930720.4762TOc0.231 small sat
2024CGCG273-02611.1458SFd0.25Major merging
2412UGC 1092620.26500.131 small sat projection
2MIGNameTlog|$M_{\rm H\,\small {I}}/M_*$|logSFRtot (M yr−1)SFRIR/SFRFUVAGNAGNW1 − W2Comment
87MCG-02-03-00400.29990.07na
417MCG-02-09-04000.5196Sy2, NED0.62n
4282MASXJ03304719-67470560−0.21920.11n
722ESO159-0190−0.07540.17n
842ESO206-01330.174300.06n
1142MCG-03-22-0021−0.15550.05Disturbed?
1155ESO495-021−2−1.26−0.0526890.42Compact, starburst?
1443CGCG266-05000.4496n0.15Dusty, disturbed?, 2 sat?b
15732MASXJ11240275-282315530.3274AGN, NED1.51n
1840IC08600−2.720.72812n0.141 small sat + 2 sat?
1987UGC 0930720.4762TOc0.231 small sat
2024CGCG273-02611.1458SFd0.25Major merging
2412UGC 1092620.26500.131 small sat projection

Notes. a‘–’ means no data, ‘n’ means no AGN or no special comment on appearance of the object.

b‘sat?’ Small satellite without radial velocity (projected on the sky).

cTransition object, located upon the border of a starburst galaxy and AGN, according to Coziol et al. (2011).

dStar-forming galaxy according to the SDSS.

Table 2.

2MIG galaxies with the highest ratio of SFRIR/SFRFUV

2MIGNameTlog|$M_{\rm H\,\small {I}}/M_*$|logSFRtot (M yr−1)SFRIR/SFRFUVAGNAGNW1 − W2Comment
87MCG-02-03-00400.29990.07na
417MCG-02-09-04000.5196Sy2, NED0.62n
4282MASXJ03304719-67470560−0.21920.11n
722ESO159-0190−0.07540.17n
842ESO206-01330.174300.06n
1142MCG-03-22-0021−0.15550.05Disturbed?
1155ESO495-021−2−1.26−0.0526890.42Compact, starburst?
1443CGCG266-05000.4496n0.15Dusty, disturbed?, 2 sat?b
15732MASXJ11240275-282315530.3274AGN, NED1.51n
1840IC08600−2.720.72812n0.141 small sat + 2 sat?
1987UGC 0930720.4762TOc0.231 small sat
2024CGCG273-02611.1458SFd0.25Major merging
2412UGC 1092620.26500.131 small sat projection
2MIGNameTlog|$M_{\rm H\,\small {I}}/M_*$|logSFRtot (M yr−1)SFRIR/SFRFUVAGNAGNW1 − W2Comment
87MCG-02-03-00400.29990.07na
417MCG-02-09-04000.5196Sy2, NED0.62n
4282MASXJ03304719-67470560−0.21920.11n
722ESO159-0190−0.07540.17n
842ESO206-01330.174300.06n
1142MCG-03-22-0021−0.15550.05Disturbed?
1155ESO495-021−2−1.26−0.0526890.42Compact, starburst?
1443CGCG266-05000.4496n0.15Dusty, disturbed?, 2 sat?b
15732MASXJ11240275-282315530.3274AGN, NED1.51n
1840IC08600−2.720.72812n0.141 small sat + 2 sat?
1987UGC 0930720.4762TOc0.231 small sat
2024CGCG273-02611.1458SFd0.25Major merging
2412UGC 1092620.26500.131 small sat projection

Notes. a‘–’ means no data, ‘n’ means no AGN or no special comment on appearance of the object.

b‘sat?’ Small satellite without radial velocity (projected on the sky).

cTransition object, located upon the border of a starburst galaxy and AGN, according to Coziol et al. (2011).

dStar-forming galaxy according to the SDSS.

We also note that 2MIG2024 is probably a star-forming galaxy in outgoing merging with a moderate logSSFRtot = −10.19. This is also confirmed by its SDSS spectrum. 2MIG1142, 2MIG1443, 2MIG1840 and 2MIG1987 have signs of disturbance and/or visible small satellites. These could have weak influence on main galaxy properties (Karachentseva et al. 2011; Melnyk et al. 2014).

With current data, we are not able to assert the star-forming/starburst origin of high IR emission in all early-type galaxies, neither may we exclude the AGN origin of IR emission due once again to insufficient data. We have assumed that the SFRtot values are more reliable for the spiral galaxies since they normally contain dusty, i.e. star-forming, regions, contrary to the early-type galaxies.

We therefore present both values of logSFRFUV/logSFRtot and logSSFRFUV/logSSFRtot throughout the paper which show, in general, the same tendencies as in the graphs.

3.4 Specific star formation rates

Fig. 6 presents the SSFR, calculated by formula (8), as a function of stellar mass for the same samples as in Fig. 4. We see that only five galaxies have a little larger logSSFR than −9.4. All of these objects are very local galaxies with VLG < 600 km s−1: 2MIG405 = NGC 1311, 2MIG646 = NGC 1744, 2MIG1699 = UGC 07321, 2MIG1724 = NGC 4395.11 In addition, 2MIG1741 = UGC 07699 the Ks catalogue magnitude could be underestimated due to a large diameter (>2.5 arcmin). It is interesting that not one of these galaxies is a member of the LOG catalogue. We see that the threshold of logSSFR for 2MIG galaxies is near ∼dex(−9.4) [−yr−1]. This agrees with results obtained by Karachentsev & Kaisina (2013) and Karachentsev et al. (2013a) for the local normal galaxies.

Left: the SSFR (FUV) as a function of stellar mass for the 2MIG LS and LOG samples, N = 258 versus N = 428, respectively. Middle: the SSFR (FUV) as a function of stellar mass for the full 2MIG sample, N = 1616. Right: the total (FUV+IR) SSFR versus stellar mass for the full 2MIG sample. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types. The red dashed line corresponds to logSSFR = −9.4 threshold.
Figure 6.

Left: the SSFR (FUV) as a function of stellar mass for the 2MIG LS and LOG samples, N = 258 versus N = 428, respectively. Middle: the SSFR (FUV) as a function of stellar mass for the full 2MIG sample, N = 1616. Right: the total (FUV+IR) SSFR versus stellar mass for the full 2MIG sample. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types. The red dashed line corresponds to logSSFR = −9.4 threshold.

Fig. 7 shows future versus past diagnostic diagram for the LOG and 2MIG LS samples (left-hand panel) and for the full 2MIG sample (right-hand panel). In Table 3, we compared the mean with standard deviation (SD) and median in the quartile range (Q) values of these parameters for the full 2MIG sample and its subsamples.

Left: future versus past diagnostic diagram for the 2MIG LS and LOG samples (N = 201 and 389, respectively). Corresponding median values for the 2MIG LS and LOG samples are marked with square and triangle, respectively. The galaxy with coordinates P = 0 and F = 0 is able to reproduce its stellar mass during the Hubble time at the currently observed SFR. Here, the reserves of gas are sufficient to support the observed SFR during the alternative Hubble time. Therefore, in general, the LOG galaxies have larger gas reserves than 2MIGs. Right: future versus past diagnostic diagrams for the full 2MIG sample (N = 663). The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types. The P and F mean and median values for the 2MIG galaxies of different types are noted in Table 3.
Figure 7.

Left: future versus past diagnostic diagram for the 2MIG LS and LOG samples (N = 201 and 389, respectively). Corresponding median values for the 2MIG LS and LOG samples are marked with square and triangle, respectively. The galaxy with coordinates P = 0 and F = 0 is able to reproduce its stellar mass during the Hubble time at the currently observed SFR. Here, the reserves of gas are sufficient to support the observed SFR during the alternative Hubble time. Therefore, in general, the LOG galaxies have larger gas reserves than 2MIGs. Right: future versus past diagnostic diagrams for the full 2MIG sample (N = 663). The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types. The P and F mean and median values for the 2MIG galaxies of different types are noted in Table 3.

Table 3.

Past and future dimensionless parameters for the 2MIG galaxies. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types, Q for the quenched (FUV−K (AB) > 6.6) and nQ for the non-quenched (FUV−K (AB) < 6.6) galaxies.

SamplePF
NMean±SDMedian±QMean±SDMedian±Q
All663−0.62 ± 0.47−0.58|$^{+0.25}_{-0.29}$|−0.14 ± 0.54−0.12|$^{+0.31}_{-0.30}$|
E92−0.83 ± 0.71−0.67|$^{+0.38}_{-0.74}$|−0.27 ± 0.81−0.22|$^{+0.48}_{-0.57}$|
M455−0.63 ± 0.40−0.60|$^{+0.24}_{-0.25}$|−0.15 ± 0.47−0.13|$^{+0.28}_{-0.29}$|
L116−0.43 ± 0.42−0.41|$^{+0.30}_{-0.27}$|0.01 ± 0.47−0.06|$^{+0.41}_{-0.16}$|
Q38−1.41 ± 0.72−1.59|$^{+0.55}_{-0.35}$|0.09 ± 0.920.31|$^{+0.38}_{-0.65}$|
nQ625−0.57 ± 0.41−0.81|$^{+0.25}_{-0.24}$|−0.15 ± 0.50−0.13|$^{+0.27}_{-0.29}$|
SamplePF
NMean±SDMedian±QMean±SDMedian±Q
All663−0.62 ± 0.47−0.58|$^{+0.25}_{-0.29}$|−0.14 ± 0.54−0.12|$^{+0.31}_{-0.30}$|
E92−0.83 ± 0.71−0.67|$^{+0.38}_{-0.74}$|−0.27 ± 0.81−0.22|$^{+0.48}_{-0.57}$|
M455−0.63 ± 0.40−0.60|$^{+0.24}_{-0.25}$|−0.15 ± 0.47−0.13|$^{+0.28}_{-0.29}$|
L116−0.43 ± 0.42−0.41|$^{+0.30}_{-0.27}$|0.01 ± 0.47−0.06|$^{+0.41}_{-0.16}$|
Q38−1.41 ± 0.72−1.59|$^{+0.55}_{-0.35}$|0.09 ± 0.920.31|$^{+0.38}_{-0.65}$|
nQ625−0.57 ± 0.41−0.81|$^{+0.25}_{-0.24}$|−0.15 ± 0.50−0.13|$^{+0.27}_{-0.29}$|
Table 3.

Past and future dimensionless parameters for the 2MIG galaxies. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types, Q for the quenched (FUV−K (AB) > 6.6) and nQ for the non-quenched (FUV−K (AB) < 6.6) galaxies.

SamplePF
NMean±SDMedian±QMean±SDMedian±Q
All663−0.62 ± 0.47−0.58|$^{+0.25}_{-0.29}$|−0.14 ± 0.54−0.12|$^{+0.31}_{-0.30}$|
E92−0.83 ± 0.71−0.67|$^{+0.38}_{-0.74}$|−0.27 ± 0.81−0.22|$^{+0.48}_{-0.57}$|
M455−0.63 ± 0.40−0.60|$^{+0.24}_{-0.25}$|−0.15 ± 0.47−0.13|$^{+0.28}_{-0.29}$|
L116−0.43 ± 0.42−0.41|$^{+0.30}_{-0.27}$|0.01 ± 0.47−0.06|$^{+0.41}_{-0.16}$|
Q38−1.41 ± 0.72−1.59|$^{+0.55}_{-0.35}$|0.09 ± 0.920.31|$^{+0.38}_{-0.65}$|
nQ625−0.57 ± 0.41−0.81|$^{+0.25}_{-0.24}$|−0.15 ± 0.50−0.13|$^{+0.27}_{-0.29}$|
SamplePF
NMean±SDMedian±QMean±SDMedian±Q
All663−0.62 ± 0.47−0.58|$^{+0.25}_{-0.29}$|−0.14 ± 0.54−0.12|$^{+0.31}_{-0.30}$|
E92−0.83 ± 0.71−0.67|$^{+0.38}_{-0.74}$|−0.27 ± 0.81−0.22|$^{+0.48}_{-0.57}$|
M455−0.63 ± 0.40−0.60|$^{+0.24}_{-0.25}$|−0.15 ± 0.47−0.13|$^{+0.28}_{-0.29}$|
L116−0.43 ± 0.42−0.41|$^{+0.30}_{-0.27}$|0.01 ± 0.47−0.06|$^{+0.41}_{-0.16}$|
Q38−1.41 ± 0.72−1.59|$^{+0.55}_{-0.35}$|0.09 ± 0.920.31|$^{+0.38}_{-0.65}$|
nQ625−0.57 ± 0.41−0.81|$^{+0.25}_{-0.24}$|−0.15 ± 0.50−0.13|$^{+0.27}_{-0.29}$|

According to formulas (10) and (11) P and F parameters are dimensionless. The result is that the galaxy with coordinates P = 0 and F = 0 is able to reproduce its stellar mass during the Hubble time at the currently observed SFR. It follows that, the reserves of gas are sufficient to support the observed SFR during a second Hubble time. It follows from the left-hand panel of Fig. 7 (see also Karachentsev et al. 2013a) that only half of the LOGs’ gas reserves are dissipated. In general, the value of the P parameter for the 2MIG LS galaxies is lower than one for the LOGs. As a result, the average current SFR is able to reproduce only a part (∼1/2) of their stellar mass over a time T0. Thus, in past epochs the SFR of the 2MIG galaxies was somewhat higher. In particular, L-type galaxies have almost the same amount of gas as LOGs during present epochs. However, the gas fraction in M- and E-type galaxies is much smaller and will be consumed over less time than T0.

4 ISOLATED GALAXIES VERSUS PAIRED GALAXIES

The star-forming properties of the 2MIG galaxies were compared with those of compact pairs’ members from the same lists used in Melnyk et al. (2014). By this comparison we would like to define the environmental influence (if any exists) on the SFR properties of galaxies located in denser environments contrasted with isolated ones. Here we briefly describe the selection procedure applied for the galaxy pairs searching.

Initially, we extracted from the 2MASS XSC catalogue galaxies with Ks < 12 and aK ≥ 30 arcsec according to the 2MIG selection criteria, obtaining the same primary volume-limited sample. Then, we found the closest neighbour for every galaxy from the sample, according to the angular separation between galaxies. We took only 2200 of the most tightly spaced pairs and correlated the positions of their galaxies with objects from the NED and Hyperleda data bases. Finally, we rejected from the consideration: (1) all pairs without radial velocities for at least one pair member, (2) pairs with velocity differences of dV > 1000 km s−1. We then took into account only pair members having FUV magnitude. Our final sample contained 1482 paired members. We considered pairs with dV < 1000 km s−1 and linear projected distance R < 240 kpc (the full sample; Pairs), the most compact pairs (CP) having dV < 150 km s−1 and R < 50 kpc (median values are |${\rm d}V = 53^{+48}_{-32}$| km s−1 and |$R = 29^{+10}_{-10}$| kpc) while the wider pairs (WP) with dV > 150 km s−1 or R > 50 kpc (median values are |${\rm d}V = 156^{+151}_{-80}$| km s−1 and |$R = 84^{+80}_{-53}$| kpc). Here it is noted that we did not apply any isolation criteria for selected ‘pairs’, our formal criterion suggests that members of ‘pairs’ are closer to each other than to any other galaxy. We consider paired galaxies located in high-density regions in comparison with 2MIG galaxies. However, a visual inspection revealed that the closest neighbours to the CP (WP) members are located no closer than in 4(2)× R. Note that we did not take into account blue smaller galaxies (with aK < 30 arcsec) which are located near selected galaxies approximately in 1/6 cases. In Melnyk et al. (2014), it was shown that the colour properties of WP12 members are close to galaxies located in groups contrary to CP pairs, the colours of which are very close to the colours of galaxies in isolated pairs and triplets (Karachentsev 1987; Karachentseva, Karachentsev & Shcherbanovsky 1979; Karachentseva & Karachentsev 2000) which contain many interacting systems.

4.1 Morphology, mass, SFR and SSFR comparison

In general, the sample of paired galaxies contains far more E-type galaxies than the 2MIG sample (56 per cent versus 31 per cent), see also discussion in Melnyk et al. (2014). We therefore observe a kind of morphology–density relation (Dressler 1980) with the result that in higher populated regions the fraction of early-type galaxies is higher. A similar relation was previously noted by Karachentsev (1987) for paired versus isolated galaxies and Vavilova, Melnyk & Elyiv (2009) for galaxies in triplets in comparison with isolated ones. Therefore, we see that the most effective quenching occurred in high-density regions. This was also noted in many other previous works, see for example Cucciati et al. (2006), Scoville et al. (2013), Tal et al. (2014).

Fig. 8 (left-hand panel) presents the FUV − K (AB) colour distribution for the 2MIG and paired galaxies, while the right-hand panel represents the coincidence between ‘colour’ types and visually defined types. The red line FUV−K (AB) = 6.6 defines a chosen border between so-called quenched (Q) and non-quenched (nQ) galaxies (see also Fig. 4). A detailed comparison between visual morphology and Q/nQ types are given in Section 3.2.

Left: the FUV − K (AB) colour distributions for the 2MIG and paired galaxies. Right: dependence of FUV − K colour on the galaxy morphological type.
Figure 8.

Left: the FUV − K (AB) colour distributions for the 2MIG and paired galaxies. Right: dependence of FUV − K colour on the galaxy morphological type.

From the comparison of mean star formation characteristics of the 2MIG and paired galaxies (Tables 1 and 4, respectively) we can conclude that paired galaxies have lower values of SFR and SSFR for all subsamples, excluding L types, where the SFRs of paired galaxies are clearly higher. However, in spite of similar selection criteria described in the previous subsection, paired galaxies appear to be slightly more massive than isolated galaxies (this was reported also in Melnyk et al. 2014). For example, the mean logM* ±SD for L-type galaxies of Pairs and 2MIGs are 10.59 ± 0.53 and 10.27 ± 0.69, respectively. Therefore, in order to conduct an adequate comparison of SFR and SSFR between two samples, we calculated the corresponding values in the narrow ranges of stellar masses (9 < logM* < 10, 10 < logM* < 10.5, 10.5 < logM* < 11, 11 < logM* < 11.5 and 11.5 < logM* < 12) for the Q and nQ galaxy types, separately.

Table 4.

The mean values and standard deviations of SFRs and SSFRs of paired galaxies. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types, Q for the quenched (FUV−K (AB) > 6.6) and nQ for the non-quenched (FUV−K (AB) < 6.6) galaxies.

SampleNlogSFRFUVlogSSFRFUVlogSFRtotlogSSFRtot
(M yr−1)(yr−1)(M yr−1)(yr−1)
All1482−0.80 ± 0.75−11.86 ± 0.81−0.33 ± 0.69−11.39 ± 0.75
E923−1.15 ± 0.59−12.29 ± 0.56−0.61 ± 0.60−11.75 ± 0.59
M505−0.26 ± 0.62−11.23 ± 0.61−0.11 ± 0.54−10.85 ± 0.63
L540.23 ± 0.45−10.37 ± 0.530.46 ± 0.48−10.14 ± 0.42
Q817−1.32 ± 0.45−12.50 ± 0.28−0.75 ± 0.50−11.93 ± 0.40
nQ665−0.15 ± 0.52−11.07 ± 0.510.20 ± 0.49−10.71 ± 0.47
SampleNlogSFRFUVlogSSFRFUVlogSFRtotlogSSFRtot
(M yr−1)(yr−1)(M yr−1)(yr−1)
All1482−0.80 ± 0.75−11.86 ± 0.81−0.33 ± 0.69−11.39 ± 0.75
E923−1.15 ± 0.59−12.29 ± 0.56−0.61 ± 0.60−11.75 ± 0.59
M505−0.26 ± 0.62−11.23 ± 0.61−0.11 ± 0.54−10.85 ± 0.63
L540.23 ± 0.45−10.37 ± 0.530.46 ± 0.48−10.14 ± 0.42
Q817−1.32 ± 0.45−12.50 ± 0.28−0.75 ± 0.50−11.93 ± 0.40
nQ665−0.15 ± 0.52−11.07 ± 0.510.20 ± 0.49−10.71 ± 0.47
Table 4.

The mean values and standard deviations of SFRs and SSFRs of paired galaxies. The morphological type division corresponds to E (−2 ≤ T ≤ 1), M (2 ≤ T ≤ 5) and L (6 ≤ T ≤ 10) types, Q for the quenched (FUV−K (AB) > 6.6) and nQ for the non-quenched (FUV−K (AB) < 6.6) galaxies.

SampleNlogSFRFUVlogSSFRFUVlogSFRtotlogSSFRtot
(M yr−1)(yr−1)(M yr−1)(yr−1)
All1482−0.80 ± 0.75−11.86 ± 0.81−0.33 ± 0.69−11.39 ± 0.75
E923−1.15 ± 0.59−12.29 ± 0.56−0.61 ± 0.60−11.75 ± 0.59
M505−0.26 ± 0.62−11.23 ± 0.61−0.11 ± 0.54−10.85 ± 0.63
L540.23 ± 0.45−10.37 ± 0.530.46 ± 0.48−10.14 ± 0.42
Q817−1.32 ± 0.45−12.50 ± 0.28−0.75 ± 0.50−11.93 ± 0.40
nQ665−0.15 ± 0.52−11.07 ± 0.510.20 ± 0.49−10.71 ± 0.47
SampleNlogSFRFUVlogSSFRFUVlogSFRtotlogSSFRtot
(M yr−1)(yr−1)(M yr−1)(yr−1)
All1482−0.80 ± 0.75−11.86 ± 0.81−0.33 ± 0.69−11.39 ± 0.75
E923−1.15 ± 0.59−12.29 ± 0.56−0.61 ± 0.60−11.75 ± 0.59
M505−0.26 ± 0.62−11.23 ± 0.61−0.11 ± 0.54−10.85 ± 0.63
L540.23 ± 0.45−10.37 ± 0.530.46 ± 0.48−10.14 ± 0.42
Q817−1.32 ± 0.45−12.50 ± 0.28−0.75 ± 0.50−11.93 ± 0.40
nQ665−0.15 ± 0.52−11.07 ± 0.510.20 ± 0.49−10.71 ± 0.47

Fig. 9 presents the relation between the star formation rates of logSFRFUV on the left, logSFRtot on the right and the stellar mass with the mean values with standard 1σ deviations. For the main-sequence galaxies we see the difference in slopes α for the 2MIG and paired galaxies: the gradient for the former sample is smaller than the latter. For comparison, the fits for the Millennium simulations (0 < z < 0.3) and SDSS data from Elbaz et al. (2007) have slopes of α = 0.82 and 0.77, respectively, while the Boissier, Buat & Ilbert (2010) model for z = 0 fits with slope α = 0.65. Herewith the low-mass nQ isolated galaxies have higher level of SFR than paired galaxies while massive paired galaxies have somewhat higher SFR than isolated galaxies. In Fig. 10, we show the same values as in Fig. 9 for the 2MIGs but we split the sample of paired galaxies into the wide and compact pair members (WP and CP). We see that the values of logSFRFUV and logSFRtot for nQ galaxies are usually higher for the CP members than for galaxies in the WP sample. This reveals a possible triggering effect due to interaction in the closer pairs.

Left: SFR (FUV) as a function of stellar mass for the 2MIG and paired galaxies. Right: total (FUV+IR) SFR as a function of stellar mass. Different subsamples (Q – quenched and nQ – non-quenched defined by FUV−K (AB) = 6.6 colour threshold) are marked with different colours. The points present the mean values in the five stellar mass ranges (see the text) while the error bars correspond to the 1σ standard deviation. The slopes of linear regression for each subsample are noted in the figures. The numbers of galaxies in each sample are noted in Table 5.
Figure 9.

Left: SFR (FUV) as a function of stellar mass for the 2MIG and paired galaxies. Right: total (FUV+IR) SFR as a function of stellar mass. Different subsamples (Q – quenched and nQ – non-quenched defined by FUV−K (AB) = 6.6 colour threshold) are marked with different colours. The points present the mean values in the five stellar mass ranges (see the text) while the error bars correspond to the 1σ standard deviation. The slopes of linear regression for each subsample are noted in the figures. The numbers of galaxies in each sample are noted in Table 5.

Left: SFR (FUV) as a function of stellar mass for the 2MIG galaxies and galaxies from the wide and compact pairs (WP and CP, respectively). Right: total (FUV+IR) SFR as a function of stellar mass. Different subsamples (Q – quenched and nQ – non-quenched defined by FUV−K (AB) = 6.6 colour threshold) are marked with different colours. The points present the mean values in the five stellar mass ranges (see the text) while the error bars correspond to the 1σ standard deviation. The numbers of galaxies in each sample are noted in Table 5.
Figure 10.

Left: SFR (FUV) as a function of stellar mass for the 2MIG galaxies and galaxies from the wide and compact pairs (WP and CP, respectively). Right: total (FUV+IR) SFR as a function of stellar mass. Different subsamples (Q – quenched and nQ – non-quenched defined by FUV−K (AB) = 6.6 colour threshold) are marked with different colours. The points present the mean values in the five stellar mass ranges (see the text) while the error bars correspond to the 1σ standard deviation. The numbers of galaxies in each sample are noted in Table 5.

Table 5 shows the significance of the difference in the low- and high-mass ends for the nQ galaxies where visual differences in the Figs 9 and 10 are prominent. Student's t-test probabilities in the columns mean that the subsamples of the 2MIGs and Pairs/WP/CP drawn from the same parent sample and having the same mean values. Student's t-test shows that the differences between SFR and SSFR in 11.5 < logM* < 12 mass range are more convincing than at 9 < logM* < 10 masses.

Table 5.

Student's t-test probabilities compare the logSFRFUV, logSSFRFUV, logSFRtot, and logSSFRtot mean values for the nQ 2MIG and Pairs/CP/WP subsamples in the lowest and highest mass ranges. These probabilities show that the 2MIG and Pairs subsamples are drawn from the same parent set, having the same mean values.

9 < logM* (M) < 10
Samp.1/2N1/N2logSFRFUVlogSSFRFUVlogSFRtotlogSSFRtot
(M yr−1)(yr−1)(M yr−1)(yr−1)
2MIG/Pairs91/200.1980.2950.1520.197
2MIG/CP91/160.6020.6270.7380.773
2MIG/WP91/40.1350.1890.0280.025
11.5 < logM* (M) < 12
2MIG/Pairs35/300.0010.0020.0030.005
2MIG/CP35/40.1050.2370.1030.268
2MIG/WP35/260.0040.0040.0110.012
9 < logM* (M) < 10
Samp.1/2N1/N2logSFRFUVlogSSFRFUVlogSFRtotlogSSFRtot
(M yr−1)(yr−1)(M yr−1)(yr−1)
2MIG/Pairs91/200.1980.2950.1520.197
2MIG/CP91/160.6020.6270.7380.773
2MIG/WP91/40.1350.1890.0280.025
11.5 < logM* (M) < 12
2MIG/Pairs35/300.0010.0020.0030.005
2MIG/CP35/40.1050.2370.1030.268
2MIG/WP35/260.0040.0040.0110.012
Table 5.

Student's t-test probabilities compare the logSFRFUV, logSSFRFUV, logSFRtot, and logSSFRtot mean values for the nQ 2MIG and Pairs/CP/WP subsamples in the lowest and highest mass ranges. These probabilities show that the 2MIG and Pairs subsamples are drawn from the same parent set, having the same mean values.

9 < logM* (M) < 10
Samp.1/2N1/N2logSFRFUVlogSSFRFUVlogSFRtotlogSSFRtot
(M yr−1)(yr−1)(M yr−1)(yr−1)
2MIG/Pairs91/200.1980.2950.1520.197
2MIG/CP91/160.6020.6270.7380.773
2MIG/WP91/40.1350.1890.0280.025
11.5 < logM* (M) < 12
2MIG/Pairs35/300.0010.0020.0030.005
2MIG/CP35/40.1050.2370.1030.268
2MIG/WP35/260.0040.0040.0110.012
9 < logM* (M) < 10
Samp.1/2N1/N2logSFRFUVlogSSFRFUVlogSFRtotlogSSFRtot
(M yr−1)(yr−1)(M yr−1)(yr−1)
2MIG/Pairs91/200.1980.2950.1520.197
2MIG/CP91/160.6020.6270.7380.773
2MIG/WP91/40.1350.1890.0280.025
11.5 < logM* (M) < 12
2MIG/Pairs35/300.0010.0020.0030.005
2MIG/CP35/40.1050.2370.1030.268
2MIG/WP35/260.0040.0040.0110.012

Fig. 11 presents the SSFR versus stellar mass comparing Q and nQ types of the 2MIG, WP and CP samples in the stellar mass ranges similarly to Fig. 10. It can be seen that the level of SSFR in nQ isolated galaxies is somewhat higher than in paired galaxies, supporting the previous results that galaxies located in low-density regions have a higher level of SSFR than those from denser regions (Rojas et al. 2004; Patiri et al. 2006; Elyiv et al. 2013). A difference between SSFR of galaxies in cluster and field were found also by Haines et al. (2013) for higher redshift galaxies (0.15 < z < 0.2). The authors found that the star-forming cluster galaxies have systematically 30 per cent lower SSFR than field galaxies at all mass ranges. However, this difference is negligible between galaxies in the cluster outskirts and in the field. Our results are in nominal agreement with Haines's results in the low-mass end. However, our findings suggest that the most massive paired galaxies 11.5 < logM* < 12 have a higher SSFR, triggering star formation. Note that our pairs may be located as in clusters as in the field. The level of SSFR for quenched galaxies is the same for the isolated and paired objects, showing that there is no environmental influence for these almost empty gas galaxies.

Left: SSFR (FUV) as a function of stellar mass for the 2MIG galaxies and galaxies from the wide and compact pairs (WP and CP, respectively). Right: total (FUV+IR) SSFR as a function of stellar mass. Different subsamples (Q – quenched and nQ – non-quenched defined by FUV−K (AB) = 6.6 colour threshold) are marked with different colours. The points present the mean values in the five stellar mass ranges (see the text) while the error bars correspond to the 1σ standard deviation. The numbers of galaxies in each sample are noted in Table 5.
Figure 11.

Left: SSFR (FUV) as a function of stellar mass for the 2MIG galaxies and galaxies from the wide and compact pairs (WP and CP, respectively). Right: total (FUV+IR) SSFR as a function of stellar mass. Different subsamples (Q – quenched and nQ – non-quenched defined by FUV−K (AB) = 6.6 colour threshold) are marked with different colours. The points present the mean values in the five stellar mass ranges (see the text) while the error bars correspond to the 1σ standard deviation. The numbers of galaxies in each sample are noted in Table 5.

Table 6 represents the slopes α of linear regressions for the 2MIG and paired galaxies. Schiminovich et al. (2007) and Salim et al. (2007) gave the α = −0.36 and −0.35 for the main sequence and −0.2 for the red sequence. Schawinski et al. (2014) noted about −0.1 to −0.2 slope for all SDSS galaxies. From our results it follows that the slope for the nQ 2MIGs is somewhat steeper than the slope for paired galaxies and noted values from Schiminovich et al. (2007) and Salim et al. (2007). Only two galaxies in our pairs have logSSFR a little higher than −9.4.

Table 6.

The slope parameter in the logSSFR (yr−1) versus logM* (M) relations.

SampleNα, (logSSFRFUV)α, (logSSFRtot)
2MIG
Q341−0.09−0.18
nQ1275−0.63−0.50
Pairs
Q817−0.13−0.27
nQ665−0.41−0.34
SampleNα, (logSSFRFUV)α, (logSSFRtot)
2MIG
Q341−0.09−0.18
nQ1275−0.63−0.50
Pairs
Q817−0.13−0.27
nQ665−0.41−0.34
Table 6.

The slope parameter in the logSSFR (yr−1) versus logM* (M) relations.

SampleNα, (logSSFRFUV)α, (logSSFRtot)
2MIG
Q341−0.09−0.18
nQ1275−0.63−0.50
Pairs
Q817−0.13−0.27
nQ665−0.41−0.34
SampleNα, (logSSFRFUV)α, (logSSFRtot)
2MIG
Q341−0.09−0.18
nQ1275−0.63−0.50
Pairs
Q817−0.13−0.27
nQ665−0.41−0.34

Therefore, we suggest that on the lower mass end, galaxies from denser environments have an older stellar population which we can interpret as a sign of an environmental quenching. However, at higher masses, the positive influence of the environment, which triggers star formation, becomes remarkable. It follows from our findings that the main factor of evolutionary processes is mainly defined by the mass factor, though the environmental influence is notable. It is possible that we are unable to define the difference with better significance due to the smaller environmental effect in comparison with mass influence. In general, we are in agreement with the results obtained in previous works by other authors, see for example Peng et al. (2010, 2012) and Tal et al. (2014).

4.2 AGN impact

Karachentseva et al. (2014) studied the SFR of the Markarian galaxies, which are active galaxies with different signs of activity (Mazzarella & Balzano 1986; Markarian et al. 1989; Petrosian et al. 2007): quasars, Seyfert galaxies, Wolf–Rayet, Starburst and H ii galaxies. The authors found that SFR in Markarian galaxies is a little higher than in isolated galaxies, though the SSFR does not exceed a limit of ∼dex(−9.4) [−yr−1], also noted in Section 3.4 of this paper. In the previous section we found some shortage/excess of SFR (and also SSFR) according to environmental events for low-mass/high-mass galaxies. Here we would like to examine how it is related to the AGN activity. For this we check and compare the AGN presence in isolated and paired galaxies.

Since we have the WISE magnitudes for almost all of our galaxies, we define the AGN fraction according to W2−W1 versus W3−W2 colour diagrams, which is effective in selection of bright IR AGN (see for example Jarrett et al. 2011), the majority of these sources should be also bright in X-rays (Mateos et al. 2012). Fig. 12 presents the WISE colour–colour plots for galaxies from the 2MIG (left-hand panel) and WP/CP samples (right-hand panel). Since near 1/2 of our sample are also SDSS targets, we marked with different colour symbols SDSS-selected AGN type 1 and 2 on the left-hand panel of Fig. 12. The AGN classification was carried out by Coziol et al. (2011), Pulatova et al. (2015) and a few additional AGN sources were found in the NED. Of course this spectroscopic classification is not homogeneous, rather only indicative. We marked with black dots any galaxies which do not contain AGN or where we have no information about AGN presence. In Fig. 12, we also marked with lines different criteria for the selection of the brightest IR AGN from Mateos et al. (2012), Stern et al. (2012) and Hwang et al. (2012).

Left: WISE colour–colour plot for 2MIG galaxies. Right: WISE colour–colour plot for paired galaxies. Red line selects the bright AGN according to criteria by Mateos et al. (2012), dashed line shows the selection according to Stern et al. (2012) and the solid line represents the Hwang et al.(2012) selection adopted in this work: W1−W2 > 0.44 mag. Three galaxies with the highest SFRIR/SFRFUV ratios are shown with special symbols, according to Jarrett et al. (2011) diagnostic diagram of their IR emission attributes due to starbursts.
Figure 12.

Left: WISE colour–colour plot for 2MIG galaxies. Right: WISE colour–colour plot for paired galaxies. Red line selects the bright AGN according to criteria by Mateos et al. (2012), dashed line shows the selection according to Stern et al. (2012) and the solid line represents the Hwang et al.(2012) selection adopted in this work: W1−W2 > 0.44 mag. Three galaxies with the highest SFRIR/SFRFUV ratios are shown with special symbols, according to Jarrett et al. (2011) diagnostic diagram of their IR emission attributes due to starbursts.

In Fig. 13, we show the fractions of AGN according to the weakest criterion by Hwang et al. (2012; W1−W2 > 0.44) for the 2MIG and full paired sample in different mass intervals (on the left) and also separately for Q and nQ subsamples (on the right). These uncertainties correspond to 95 per cent confidence level (2σ) calculated with the Binomial test. We see that the fraction of AGN in paired samples is almost always higher than in an isolated galaxy sample. However, the advantage is not crucial to conclude that the AGN phenomenon is necessarily connected with environmental density. We also did not find any increase in AGN fraction in most tight pairs as shown by Ellison et al. (2011) though we do not have a large statistical sample on pairs with R < 20 kpc.

Left: the fraction of AGN selected by the W1−W2 > 0.44 colour criterion (Hwang et al. 2012) for the 2MIG and Pairs samples in different mass ranges. The uncertainties correspond to 2σ standard deviation. Right: the fraction of AGN as in left panel but for Q and nQ types separately.
Figure 13.

Left: the fraction of AGN selected by the W1−W2 > 0.44 colour criterion (Hwang et al. 2012) for the 2MIG and Pairs samples in different mass ranges. The uncertainties correspond to 2σ standard deviation. Right: the fraction of AGN as in left panel but for Q and nQ types separately.

Here we are in agreement with findings by Coziol et al. (2011), Sabater et al. (2012), Hernandez-Ibarra et al. (2013) and Pulatova et al. (2015) who studied the nuclear activity in a few samples of isolated galaxies and showed that secular evolution is a main mechanism for AGN triggering, at least in the Local Universe. Here we have to make a reservation that in our sample of the local galaxies we do not have bright X-ray AGN which evolution may be explained by the merging events (see for example Santini et al. 2012).

5 CONCLUSIONS

In the paper, we have considered the star formation properties of 1616 isolated galaxies from the 2MIG catalogue (Karachentseva et al. 2010b) with FUV magnitudes. The SFR and SSFR of 2MIG galaxies were compared with corresponding properties of isolated galaxies from the LOG catalogue (Karachentsev et al. 2011) and with paired galaxies (WP – wide pairs and CP – the most compact pairs with velocity difference less than 150 km s−1 and a projected distance less than 50 kpc). We summarize our main findings below.

  1. Different selection algorithms applied to different primordial samples define different populations of isolated galaxies. The population of the LOG catalogue, selected from the LS non-clustered galaxies, mostly consists of spiral and late-type galaxies. These are up to two orders of magnitude less massive than the 2MIG galaxies of corresponding morphology. The 2MIG population, in contrast, was selected from the 2MASX (Jarrett et al. 2000) within quite bright near-IR galaxies (Ks < 12 mag and angular diameters aKs ≥ 30 arcsec) consisting of normal mass galaxies, predominantly of early spirals. Late-type galaxies of both samples have almost the same amount of gas at present epochs though the gas fraction in spiral and early-type galaxies of the 2MIG sample is much smaller and will be consumed over less time than T0. In general, the SFR versus M* and SSFR versus M* relations of the LOG sample complete 2MIG corresponding relation to lower masses.

  2. The SSFR upper limit in all considered galaxy samples (i.e. isolated and paired) of the Local Universe (at least at z < 0.06) does not exceed the value of ∼dex(−9.4). This is probably common for galaxies of differing activity located in different types of environments (Karachentsev et al. 2013a, Karachentseva et al. 2014; Karachentsev & Kaisina 2013).

  3. The fractions of quenched (Q, with FUV−K (AB) > 6.6) galaxies of 10.5 < logM* < 11.5 masses are nearly twice as high in the paired galaxy sample than among the 2MIG isolated galaxies. This suggests that quenching proved more effective in higher density regions in the past (Cucciati et al. 2006; Scoville et al. 2013; Tal et al. 2014). From the behaviour of SFR versus M* relations we concluded that the main factor of evolutionary processes is defined by the galaxy mass. However, the environmental influence is notable: the 2MIG's and pair's main-sequence (non-Quenched with FUV−K (AB) < 6.6) galaxies have different gradients: the relation for the former sample is smaller than the latter, i.e. the paired galaxies have somewhat lower SFR and SSFR at low masses and higher SFR and SSFR for the massive galaxies with logM* > 11.5. Student's t-test showed that the difference is significant only for the high-mass end. Therefore, we suggest that the environment triggers star formation in the highest mass galaxies. Moreover, the values of SFR and SSFR are higher in general for galaxies in the most closely spaced pairs suggesting the outgoing interactions.

  4. The existence of a significant fraction of quenched isolated galaxies (21 per cent) reveals that the main quenching mechanism probably does not depend on the environmental density. The similarity of the mean values of the SFR and gradients in SFR versus M* (also in SSFR versus M*) relations for quenched 2MIG and paired galaxies also support the assumption that the dominant quenching mechanism is similar for galaxies located in all type of environments and depend mainly upon the galaxy mass (possibly the main driving mechanism is AGN feedback Croton & Farrar 2008, see also discussion in Peng et al. 2010 and Schawinski et al. 2014).

  5. We found that the fraction of AGN in paired samples is a little higher (but not significantly in the statistical sense) than in our isolated galaxy sample. We suggest that AGN phenomenon is not necessarily connected with environmental density and, most probably, defined by secular galaxy evolution confirming the previous results by Coziol et al. (2011), Sabater et al. (2012), Hernandez-Ibarra et al. (2013), Karachentseva et al. (2014) and Pulatova et al. (2015).

We are thankful to the GALEX ‘Operation and Data Analysis Team,’ who processed and delivered the extremely high data volume yielded by GALEX. We are thankful to Samuel Boissier for his useful comments and suggestions. We are also grateful to Andrew Whimster for the language corrections. IK acknowledge the support from the grant of the Russian Scientific Foundation 14-12-00965. This research has made use of the NASA/IPAC Extragalactic Database (NED) which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. We acknowledge the usage of the HyperLeda data base (http://leda.univ-lyon1.fr). In our work we have also used SDSS-III data, funding for which has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the US Department of Energy Office of Science. This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. The SDSS-III website is http://www.sdss3.org/. This work was supported by a grant from the Russian Foundation for Basic Researches, 13-02-90407 Ukr-f-a.

1

The catalogue is known as KIG in Russian transcription but the abbreviation CIG is also widely used.

2

Digital Sky Survey: http://archive.eso.org/dss/dss

3

Sloan Digital Sky Survey: http://www.sdss.org

4

NASA/IPAC Extragalactic Database: http://ned.ipac.caltech.edu.

5

Database for physics of galaxies: http://leda.univ-lyon1.fr/ (Paturel et al. 2003).

6

In this work 2MIG320 = NGC 1050 is still a part of our sample since we found a significant satellite when the text of the paper was finalized.

7

Galaxy Evolution Explorer: http://www.galex.caltech.edu/

9

Wide field Infrared Survey Explorer: http://irsa.ipac.caltech.edu/applications/wise/ (Wright et al. 2010).

10

In the listed papers the K-band galaxy magnitudes were derived from the B band corresponding magnitudes. This was due to underestimation of Ks magnitudes for very local big size objects in the 2MASX catalogue. However, the Ks total magnitude estimation gives a slightly larger masses than using the B band. We therefore keep in mind that calculation of the masses using B-band calibration includes larger masses for the 2MIG galaxies in 0.1–0.2dex. In other words, from Fig. 2, it follows that if the stellar masses for the LOG galaxies were calculated from Ks total, their masses would be shifted further to the low end of the mass function.

11

Pulatova et al. (2015) argued about a presence of the significant companions in the neighbourhood of NGC 4395 that preclude it from being considered isolated.

12

CP sample from this work corresponds to CP3 sample in Melnyk et al. (2014) but WP sample corresponds to CP1 sample excluding CP3.

REFERENCES

Allam
S. S.
Tucker
D. L.
Lee
B. C.
Smith
J. A.
AJ
,
2005
, vol.
129
pg.
2062
Anderson
M. E.
Bregman
J. N.
Dai
X.
ApJ
,
2013
, vol.
762
 
id. 106
Argudo-Fernandez
M.
et al.
A&A
,
2013
, vol.
560
pg.
A9
Behroozi
P. S.
Wechsler
R. H.
Conroy
C.
ApJ
,
2013
, vol.
770
pg.
57
Bell
E. F.
McIntosh
D. H.
Katz
N.
Weinberg
M. D.
ApJS
,
2003
, vol.
149
pg.
289
Bendo
G. J.
Galliano
F.
Madden
S. C.
MNRAS
,
2012
, vol.
423
pg.
197
Boissier
S.
Buat
V.
Ilbert
O.
A&A
,
2010
, vol.
522
pg.
A18
Bouwens
R. J.
et al.
Nature
,
2011
, vol.
469
pg.
507
Burgarella
D.
et al.
A&A
,
2013
, vol.
554
pg.
A70
Calzetti
D.
Falcon-Barroso
J.
Knapen
J. H.
Proc. 23rd Canary Islands Winter School of Astrophysics, Secular Evolution of Galaxies
,
2013
Cambridge
Cambridge Univ. Press
pg.
419
Cardelli
J. A.
Clayton
G. C.
Mathis
J. S.
AJ
,
1989
, vol.
345
pg.
245
Coziol
R.
Torres-Papaqui
J. P.
Plauchu-Frayn
I.
Islas-Islas
J. M.
Ortega-Minakata
R. A.
Neri-Larios
D. M.
Andernach
H.
Rev. Mex. Astron. Astrofis.
,
2011
, vol.
47
pg.
361
Croton
D. J.
Farrar
G. R.
MNRAS
,
2008
, vol.
386
pg.
2285
Croton
D. J.
et al.
MNRAS
,
2006
, vol.
365
pg.
11
Cucciati
O.
et al.
A&A
,
2006
, vol.
458
pg.
39
de Vaucouleurs
G.
PASP
,
1971
, vol.
83
pg.
113
Dressler
A.
ApJ
,
1980
, vol.
236
pg.
351
Dubois
Y.
Gavazzi
R.
Peirani
S.
Silk
J.
MNRAS
,
2013
, vol.
433
pg.
3297
Durbala
A.
Sulentic
J. W.
Buta
R.
Verdes-Montenegro
L.
MNRAS
,
2008
, vol.
390
pg.
881
Elbaz
D.
et al.
A&A
,
2007
, vol.
468
pg.
33
Ellison
S. L.
Patton
D. R.
Mendel
J. T.
Scudder
J. M.
MNRAS
,
2011
, vol.
418
pg.
2043
Elyiv
A.
Melnyk
O.
Vavilova
I.
MNRAS
,
2009
, vol.
394
pg.
1409
Elyiv
A.
Karachentsev
I.
Karachentseva
V.
Melnyk
O.
Makarov
D.
Astrophys. Bull.
,
2013
, vol.
68
pg.
1
Fabian
A. C.
ARA&A
,
2012
, vol.
50
pg.
455
Fernandez
Lorenzo M.
Sulentic
J.
Verdes-Montenegro
L.
Ruiz
J. E.
Sabater
J.
Sanchez
S.
A&A
,
2012
, vol.
540
pg.
A47
Fukugita
M.
Peebles
P. J. E.
ApJ
,
2004
, vol.
616
pg.
643
Gil
de Paz A.
et al.
ApJS
,
2007
, vol.
173
pg.
185
Haines
C. P.
et al.
A&A
,
2013
, vol.
775
pg.
126
Hernandez-Ibarra
F. J.
Dultzin
D.
Krongold
Y.
del
Olmo A.
Perea
J.
Gonzalez
J.
MNRAS
,
2013
, vol.
434
pg.
336
Hernandez-Toledo
H. M.
Vazquez-Mata
J. A.
Martinez-Vazquez
L. A.
Choi
Y.-Y.
Park
C.
AJ
,
2010
, vol.
139
pg.
2525
Hirschmann
M.
De Lucia
G.
Iovino
A.
Cucciati
O.
MNRAS
,
2013
, vol.
433
pg.
1479
Hoyle
F.
Vogeley
M. S.
Pan
D.
MNRAS
,
2012
, vol.
426
pg.
3041
Hwang
H. S.
Geller
M. J.
Diaferio
A.
Rines
K. J.
ApJ
,
2012
, vol.
752
pg.
64
Jarrett
T. H.
Chester
T.
Cutri
R.
Schneider
S.
Skrutskie
M.
Huchra
J. P.
AJ
,
2000
, vol.
119
pg.
2498
Jarrett
T. H.
et al.
ApJ
,
2011
, vol.
735
pg.
112
Jarrett
T. H.
et al.
AJ
,
2013
, vol.
145
pg.
6
Karachentsev
I. D.
Double galaxies. Moscow, Izdatel'stvo Nauka
,
1987
Karachentsev
I. D.
Kaisin
S. S.
AJ
,
2007
, vol.
133
pg.
1883
Karachentsev
I. D.
Kaisina
E. L.
AJ
,
2013
, vol.
146
pg.
46
Karachentsev
I. D.
Makarov
D. I.
AJ
,
1996
, vol.
111
pg.
794
Karachentsev
I. D.
Makarov
D. I.
Karachentseva
V. E.
Melnyk
O. V.
Astrophys. Bull.
,
2011
, vol.
66
pg.
1
Karachentsev
I. D.
Karachentseva
V. E.
Melnyk
O. V.
Elyiv
A. A.
Makarov
D. I.
Astrophys. Bull.
,
2012
, vol.
67
pg.
353
Karachentsev
I. D.
Karachentseva
V. E.
Melnyk
O. V.
Courtois
H. M.
Astrophys. Bull.
,
2013a
, vol.
68
pg.
243
Karachentsev
I. D.
Makarov
D. I.
Kaisina
E. I.
AJ
,
2013b
, vol.
145
pg.
101
Karachentseva
V. E.
Soobshch. Spets. Astrofiz. Obs.
,
1973
, vol.
8
pg.
3
Karachentseva
V. E.
Karachentsev
I. D.
Astron. Rep.
,
2000
, vol.
44
pg.
501
Karachentseva
V. E.
Karachentsev
I. D.
Shcherbanovsky
A. L.
Astrofiz. Issled.
,
1979
, vol.
11
pg.
3
Karachentseva
V. E.
Karachentsev
I. D.
Sharina
M. E.
Astrophysics
,
2010a
, vol.
53
pg.
462
Karachentseva
V. E.
Mitronova
S. N.
Melnyk
O. V.
Karachentsev
I. D.
Astrophys. Bull.
,
2010b
, vol.
65
pg.
1
Karachentseva
V. E.
Karachentsev
I. D.
Melnyk
O. V.
Astrophys. Bull.
,
2011
, vol.
66
pg.
389
Karachentseva
V. E.
Melnyk
O. V.
Karachentsev
I. D.
Astrophysics
,
2014
, vol.
57
pg.
1
Kennicutt
R. C.
ARA&A
,
1998a
, vol.
36
pg.
189
Kennicutt
R. C.
ApJ
,
1998b
, vol.
498
pg.
541
Khalatyan
A.
Cattaneo
A.
Schramm
M.
Gottlober
S.
Steinmetz
M.
Wisotzki
L.
MNRAS
,
2008
, vol.
387
pg.
13
Kreckel
K. E.
Platen
E.
Aragon-Calvo
M. A.
van Gorkom
J. H.
van de Weygaert
R.
van der Hulst
J. M.
Beygu
B.
AJ
,
2012
, vol.
144
pg.
16
Kudrya
Yu. N.
Karachentseva
V. E.
Astrophysics
,
2012
, vol.
55
pg.
435
Kudrya
Yu. N.
Karachentseva
V. E.
Karachentsev
I. D.
Astrophysics
,
2011
, vol.
54
pg.
445
Lee
J. C.
et al.
ApJ
,
2009
, vol.
706
pg.
599
Lemaux
B. C.
et al.
A&A
,
2014
, vol.
572
pg.
A90
Leon
S.
et al.
A&A
,
2008
, vol.
485
pg.
475
Lisenfeld
U.
et al.
A&A
,
2007
, vol.
462
pg.
507
Lisenfeld
U.
et al.
A&A
,
2011
, vol.
534
pg.
A102
Makarov
D.
Karachentsev
I.
MNRAS
,
2011
, vol.
412
pg.
2498
Markarian
B. E.
Lipovetsky
V. A.
Stepanian
J. A.
Erastova
L. K.
Shapovalova
A. I.
Commun. Special Astrophys. Obs.
,
1989
, vol.
62
pg.
5
Mateos
S.
et al.
MNRAS
,
2012
, vol.
426
pg.
3271
Mazzarella
J. M.
Balzano
V. A.
ApJS
,
1986
, vol.
62
pg.
751
Melnyk
O.
Mitronova
S.
Karachentseva
V.
MNRAS
,
2014
, vol.
438
pg.
548
Patiri
S. G.
Prada
F.
Holtzman
J.
Klypin
A.
Betancort-Rijo
J.
MNRAS
,
2006
, vol.
372
pg.
1710
Paturel
G.
Petit
C.
Prugniel
P.
Theureau
G.
Rousseau
J.
Brouty
M.
Dubois
P.
Cambrésy
L.
A&A
,
2003
, vol.
412
pg.
45
Peng
Y.-J.
et al.
ApJ
,
2010
, vol.
721
pg.
193
Peng
Y.-J.
Lilly
S. J.
Renzini
A.
Carollo
M.
ApJ
,
2012
, vol.
757
pg.
4
Petrosian
A.
McLean
B.
Allen
R. J.
MacKenty
J. W.
ApJS
,
2007
, vol.
170
pg.
33
Pulatova
N. G.
Vavilova
I. B.
Sawangwit
U.
Babyk
Iu.
Klimanov
S.
MNRAS
,
2015
, vol.
447
pg.
2209
Roberts
M. S.
Haynes
M. P.
ARA&A
,
1994
, vol.
32
pg.
115
Rojas
R. R.
Vogeley
M. S.
Hoyle
F.
Brinkmann
J.
AJ
,
2004
, vol.
617
pg.
50
Sabater
J.
Leon
S.
Verdes-Montenegro
L.
Lisenfeld
U.
Sulentic
J.
Verley
S.
A&A
,
2008
, vol.
486
pg.
73
Sabater
J.
Verdes-Montenegro
L.
Leon
S.
Best
P.
Sulentic
J.
A&A
,
2012
, vol.
545
pg.
A15
Salim
S.
et al.
ApJS
,
2007
, vol.
173
pg.
267
Salim
S.
Fang
J. J.
Rich
R. M.
Faber
S. M.
Thilker
D. A.
ApJ
,
2012
, vol.
755
pg.
105
Santini
P.
et al.
A&A
,
2012
, vol.
540
pg.
A109
Schawinski
K.
et al.
MNRAS
,
2014
, vol.
440
pg.
889
Schiminovich
D.
et al.
ApJS
,
2007
, vol.
173
pg.
315
Schlegel
D. J.
Finkbeiner
D. P.
Davis
M.
AJ
,
1998
, vol.
500
pg.
525
Scoville
N.
et al.
ApJS
,
2013
, vol.
206
pg.
3
Skrutskie
M. F.
et al.
AJ
,
2006
, vol.
131
pg.
1163
Sorrentino
G.
Antonuccio-Delogu
V.
Rifatto
A.
A&A
,
2006
, vol.
460
pg.
673
Stern
D.
et al.
ApJ
,
2012
, vol.
753
pg.
30
Tal
T.
et al.
ApJ
,
2014
, vol.
789
pg.
164
Taranu
D. S.
Hudson
M. J.
Balogh
M. L.
Smith
R. J.
Power
C.
Oman
K. A.
Krane
B.
MNRAS
,
2014
, vol.
440
pg.
1934
Tinker
J. L.
Leauthaud
A.
Bundy
K.
George
M. R.
Behroozi
P.
Massey
R.
Rhodes
J.
Wechsler
R. H.
ApJ
,
2013
, vol.
778
pg.
93
Turner
E. L.
Gott
J. R.
ApJ
,
1977
, vol.
197
pg.
L89
van den
Bosch F. C.
Aquino
D.
Yang
X.
Mo
H. J.
Pasquali
A.
McIntosh
D. H.
Weinmann
S. M.
Kang
X.
MNRAS
,
2008
, vol.
387
pg.
79
Varela
J.
Moles
M.
Marquez
I.
Galletta
G.
Masegosa
J.
Bettoni
D.
A&A
,
2004
, vol.
420
pg.
873
Vavilova
I. B.
Melnyk
O. V.
Elyiv
A. A.
Astron. Nachr.
,
2009
, vol.
330
pg.
1004
Verley
S.
et al.
A&A
,
2007
, vol.
472
pg.
121
von
Benda-Beckmann A. M.
Muller
V.
MNRAS
,
2008
, vol.
384
pg.
1189
Wetzel
A. R.
Tinker
J. L.
Conroy
C.
van den
Bosch F. C.
MNRAS
,
2014
, vol.
439
pg.
2687
Wright
E. L.
et al.
ApJ
,
2010
, vol.
140
pg.
1868
Zinn
P.-C.
Middelberg
E.
Norris
R. P.
Dettmar
R.-J.
ApJ
,
2013
, vol.
774
pg.
66
Zubovas
K.
Nayakshin
S.
King
A.
Wilkinson
M.
MNRAS
,
2013
, vol.
433
pg.
3079
Zwicky
F.
Herzog
E.
Wild
P.
Karpowicz
M.
Kowal
C. T.
Catalogue of Galaxies and of Clusters of Galaxies
,
1961
, vol.
I
Pasadena, CA
California Institute of Technology