ABSTRACT

We present a study of the stellar host galaxy, CO (1–0) molecular gas distribution and AGN emission on 50–500 pc-scales of the gravitationally lensed dust-obscured AGN MG J0751+2716 and JVAS B1938+666 at redshifts 3.200 and 2.059, respectively. By correcting for the lensing distortion using a grid-based lens modelling technique, we spatially locate the different emitting regions in the source plane for the first time. Both AGN host galaxies have 300–500 pc-scale size and surface brightness consistent with a bulge/pseudo-bulge, and 2 kpc-scale AGN radio jets that are embedded in extended molecular gas reservoirs that are 5–20 kpc in size. The CO (1–0) velocity fields show structures possibly associated with discs (elongated velocity gradients) and interacting objects (off-axis velocity components). There is evidence for a decrement in the CO (1–0) surface brightness at the location of the host galaxy, which may indicate radiative feedback from the AGN, or offset star formation. We find CO–H2 conversion factors of around αCO = 1.5 ± 0.5 (K km s−1 pc2)−1, molecular gas masses of >3 × 1010 M, dynamical masses of ∼1011 M, and gas fractions of around 60 per cent. The intrinsic CO line luminosities are comparable to those of unobscured AGN and dusty star-forming galaxies at similar redshifts, but the infrared luminosities are lower, suggesting that the targets are less efficient at forming stars. Therefore, they may belong to the AGN feedback phase predicted by galaxy formation models, because they are not efficiently forming stars considering their large amount of molecular gas.

1 INTRODUCTION

The bulk of the stellar population in the Universe formed between redshift 1 and 3, when the comoving cosmic star formation rate (SFR) density peaks and the active galactic nuclei (AGNs) were at their peak (Hopkins et al. 2006; Madau & Dickinson 2014). The co-evolution of these two processes has led to the suggestion that negative feedback from AGN is responsible for the subsequent decline in star formation (e.g. Croton et al. 2006). However, this does not directly explain the increased star formation efficiency in individual galaxies compared to the local Universe. Indeed, there is even growing support (e.g. Maiolino et al. 2017) for AGN-induced positive feedback (e.g. Ishibashi & Fabian 2012), and the role of AGN can only be definitively clarified by spatially resolving the molecular gas that fuels the star formation in these systems (e.g. Leung et al. 2017; Nesvadba et al. 2017).

Observations of high-redshift galaxies at mm-wavelengths have shown that they have large molecular gas reservoirs (≥109–10 M); since the cold molecular gas is a fundamental ingredient of star formation, galaxies that show molecular line emission have become the most important population to study the evolution of cosmic star formation and its connection to the evolution of AGN (Fabian 2012; Carilli & Walter 2013). The ground-state rotational transition |$J=1\rightarrow \, 0$| of the CO molecule (rest frame 115.271 GHz) is generally used to trace and measure the total mass of the cold molecular gas reservoir in galaxies. This is because CO is the most abundant molecule after H2, the latter of which does not have a permanent dipole moment and, therefore, cannot be observed directly.

Many detections of CO emission in active galaxies at z ∼ 2–3 were made possible in the last decade thanks to the increased sensitivity and large-bandwidth of the upgraded Ka-band receivers (∼26.5–40 GHz) on the Green Bank Telescope (GBT) and the Karl G. Jansky Very Large Array (VLA; e.g. Emonts et al. 2014). Moreover, recently a significant observational effort using wide-field surveys has been devoted to blindly detecting CO (1–0) at high redshift and understanding its evolution across cosmic time (e.g. Aravena et al. 2016; Decarli et al. 2019; Riechers et al. 2019).

In a few cases, the CO emission from the gas reservoirs of high-redshift galaxies hosting an AGN has been detected with interferometric arrays, revealing that in these objects the cool interstellar medium (ISM) is distributed in relatively compact (<few kpc) regions (Carilli et al. 2002; Walter et al. 2004; Riechers et al. 2008, 2009, 2011). Therefore, the inferred SFR surface densities in these galaxies are close to the Eddington limit (∼103 M yr−1 kpc−2; Walter et al. 2009; Carilli & Walter 2013), suggesting that these galaxies are also undergoing a starburst phase together with the growth of the super massive black hole. The full width at half-maximum (FWHM) of the CO molecular gas in high-redshift galaxies has been observed with velocities up to ∼1000 km s−1, suggesting the presence of AGN-driven outflows (e.g. Ivison et al. 2012). The outflows are thought to be due to the AGN radio jets, which are transporting material out to several kpc distances from the central black hole. Moreover, the line profile of jet-driven outflows generally requires multiple Gaussian components and can show broad faint wings (e.g. Feruglio et al. 2015).

Most of the ultra-luminous quasar–starburst galaxies that have been observed so far tend to be part of interacting or merging systems. The merging/interaction process can trigger bursts of star formation and the fuelling of AGN by providing a mechanism for the gas to fragment and collapse (Kennicutt et al. 1987; Sanders et al. 1988). The merging process leads to a disturbed morphology that often results in tidal tails and a complete disruption of the nuclear and outer parts of the merging galaxies (Toomre & Toomre 1972). Moreover, high-resolution numerical simulations suggest that merger remnants can become galaxies with a cold molecular gas disc (Governato et al. 2007, 2009; Hopkins et al. 2009a, b). This is in agreement with observations; in some high-redshift star-forming galaxies, evidence has been found for star formation occurring in discs that are potentially associated with this merging formation scenario (Genzel et al. 2006; Tacconi et al. 2008; Engel et al. 2010). In some cases, the merging process can lead to the formation of compact elliptical galaxies (van Dokkum et al. 2008, 2015), whose surface brightness profile can be well described by two Sérsic components: one spheroidal like and one disc like. This is consistent with an inside–out growth scenario, in which the central compact core is formed first and the surrounding extended stellar halo is accreted later via minor mergers (Oldham et al. 2017).

It is possible to study star-forming galaxies hosting an AGN through mapping their spectral energy distribution (SED), especially in the far-infrared (FIR) to near-infrared (NIR) wavelength range (1–1000 μm), where the AGN activity has several spectral features from the accretion disc, the hot torus, and the cold dust (e.g. Drouart et al. 2016; Podigachoski et al. 2016). Typically, the SED of a star-forming galaxy peaks at ∼100 μm, whereas when the dust is heated directly by the central AGN, the resulting peak in the thermal component dominates at shorter wavelengths, corresponding to a hotter effective dust temperature. Even if the SED features are distinct, the relative importance of star formation and AGN activity to the respective dust components is difficult to determine at FIR wavelengths and is still a matter of debate (Wuyts et al. 2011; Ciesla et al. 2015; Hayward & Smith 2015; Stacey et al. 2018).

The difficulties in spatially resolving the cold molecular gas distribution are related to the limitations in angular resolution of interferometric arrays and the low-surface brightness of the CO (1–0) emission. However, by observing galaxies that are magnified by a gravitational lens, it is possible to obtain higher spatial resolution and sensitivity observations of star-forming galaxies and AGN at cosmologically interesting epochs. When such observations are coupled with advanced gravitational lens modelling algorithms for the analysis of multiwavelength data, it is also possible to recover the intrinsic morphology of the background object and, therefore, the intrinsic molecular gas distribution can be resolved with respect to the host galaxy (e.g. Danielson et al. 2011; Swinbank et al. 2011; Weiß et al. 2013; Rybak et al. 2015a, b). However, for the several studies of gravitational lensing systems carried out thus far, it was difficult to robustly infer the morphology of the CO (1–0) emission, because of the limited angular resolution of the observations (Riechers et al. 2011; Sharon et al. 2016). Also, without properly resolved data sets, the magnification of the molecular gas component is unknown, even in those cases where the lens model is robust, which limits the interpretation of the observations of gravitationally lensed galaxies (Deane et al. 2013).

In this paper, we use the gain in angular resolution and sensitivity provided by strong gravitational lensing to carry out a resolved study of the CO (1–0) molecular gas properties of two radio-loud AGN on unprecedented angular scales. These data are coupled with high angular resolution continuum imaging at optical/near-infrared (NIR) and radio wavelengths to investigate the distribution and kinematics of the molecular gas relative to the stellar emission and the non-thermal jets produced from the central engine. Our aim is to better understand the build-up of the stellar population in AGN host galaxies at redshifts 2–3 and determine to what extent mechanical feedback processes are affecting the evolution of these galaxies. In Section 2, we introduce the two targets, and in Section 3, we describe the multiwavelength observations (new and archival) and the data reduction processes. The observed image-plane properties of the two lensed AGNs are presented in Section 4. In Section 5, we present the lens modelling procedure that we have applied to the different observations and describe the intrinsic source-plane properties. In Section 6, we discuss the molecular gas mass, dynamical mass, and gas fraction of the two systems. The discussion of the results and our conclusions are in Sections 7 and 8, respectively.

Throughout this paper, we assume |$H_0=70\,\, \mathrm{km\, s^{-1}~Mpc^{-1}}$|⁠, ΩM = 0.31, and ΩΛ = 0.69 (Planck Collaboration XIII 2016). The spectral index α is defined as Sν∝να, where Sν is the flux density as a function of frequency ν.

2 TARGETS

We have observed two radio-loud AGN as part of this study. They were selected due to previous detections of CO (1–0) at lower angular resolution with either the GBT and/or the VLA, due to their extensive optical/IR imaging and also because they have the largest angular extent (and most powerful) jets of all known lensed radio sources. In this section, we give a short review of our two targets.

2.1 MG J0751+2716

MG J0751+2716 was found as part of the MIT–Green Bank survey for lensed radio sources by Lehar et al. (1997). The background AGN is at redshift zs = 3.200 ± 0.001, based on the detection of five narrow emission lines in the rest-frame ultraviolet (UV) part of the spectrum, and the lens is a massive elliptical galaxy at redshift zl = 0.3502 ± 0.0002 (Tonry & Kochanek 1999). Spectroscopy of the environment surrounding the lensing galaxy has shown that it is part of a larger group of galaxies with 26 confirmed members and a velocity dispersion of |$\sigma _{\rm group} = 400^{+60}_{-70}$| km s−1 (Lehar et al. 1997; Wilson et al. 2016). The background radio source has a complex core-jet structure with an intrinsic projected size of 1.2 kpc, which, when gravitationally lensed, forms large arcs that have been detected on mas-scales with Very Long Baseline Interferometry (VLBI; Spingola et al. 2018). The AGN host galaxy has also been found to be quite bright at optical and NIR wavelengths, with evidence of a gravitational arc from high-resolution imaging with the Hubble Space Telescope (HST; Alloin et al. 2007).

MG J0751+2716 has extensive detections of CO molecular line emission; and CO (1–0), (4–3), (3–2), and (8–7) observations show it has a molecular gas content that is similar to quasar host galaxies at comparable redshifts (Barvainis, Alloin & Bremer 2002; Alloin et al. 2007; Riechers et al. 2011). However, the angular resolution of previous CO (1–0) observations with the GBT and VLA could not spatially resolve the distribution of the molecular gas; the CO was found to be compact on 3 arcsec scales, with an almost Gaussian line profile, an FWHM of 350 ± 70 km s−1 and a line intensity of ICO = 0.550 ± 0.095 Jy km s−1 (Riechers et al. 2011). Furthermore, dense molecular gas tracers (such as HCN and H2O) were not detected in this system (Carilli et al. 2005; Riechers et al. 2006a). MG J0751+2716 is a bright IR source, with a cold dust temperature of |$T_{\rm D} = 36.2^{+1.9}_{-1.7}$| K and a dust emissivity of β = 2.4 ± 0.2, both of which are consistent with star formation at the level of |$\mu _{\rm FIR}~\times ~\rm {SFR} = 10^{3.9}$| M yr−1, where μFIR is the lensing magnification factor at FIR wavelengths (Stacey et al. 2018).

2.2 JVAS B1938+666

JVAS B1938+666 was discovered as part of the Jodrell Bank–VLA Astrometric Survey (Patnaik et al. 1992; Browne et al. 1998; Wilkinson et al. 1998) by King et al. (1997). Observations show a partial Einstein ring and double source morphology at radio wavelengths, as well as a complete Einstein ring at NIR wavelengths (Rhoads, Malhotra & Kundic 1996; King et al. 1998; Tonry & Kochanek 2000; Lagattuta et al. 2012). The lensing galaxy is a massive elliptical at redshift zl = 0.881 ± 0.001 (Tonry & Kochanek 2000). The redshift of the background AGN has been more challenging to establish, as there are no strong emission lines detected at either optical or NIR wavelengths (Tonry & Kochanek 2000; Lagattuta et al. 2012). However, blind spectral line observations of the CO (3–2) and (2–1) transitions with the Combined Array for Research in Millimetre-wave Astronomy (CARMA) found the source redshift to be zs = 2.0590 ± 0.0003 (Riechers 2011). The AGN host galaxy is extremely red; it was not detected in HST imaging at optical wavelengths, but was detected in the NIR with the W. M. Keck Telescope adaptive optics (Lagattuta et al. 2012). A lensing reconstruction of the AGN host galaxy found it to have a projected size of about 1.3 kpc (Vegetti et al. 2012).

Sharon et al. (2016) detected the CO (1–0) line with the VLA on 2.5 arcsec-scales, finding that the line profile has an asymmetric double-horn structure, as is typically seen in rotating gas discs with a strong differential magnification (e.g. Paraficz et al. 2018). Note that this line profile was consistent with the higher order CO lines detected with CARMA. The FWHM of the CO (1–0) line is 654 ± 71 km s−1 and the integrated line flux is ICO = 0.93 ± 0.11 Jy km s−1. The molecular gas emission is dominated by a compact component that is coincident with the lensing system, but there is also evidence of a faint extended component to the north-west, when imaged with the VLA in D-configuration. The FIR spectrum shows evidence for heated dust, with a cold dust temperature of |$T_{\rm D} = 29.2^{+2.7}_{-2.3}$| K and an emissivity β = 2.0 ± 0.3. These are consistent with heating due to star formation, with |$\mu _{\rm FIR}~\times ~\rm {SFR} = 10^{3.6}$| M yr−1 (Stacey et al. 2018).

3 OBSERVATIONS

In this section, we present our high-resolution radio continuum and CO (1–0) observations, and the new and archival optical and NIR data that we used for our analysis.

3.1 W. M. Keck Telescope adaptive optics

MG J0751+2716 and JVAS B1938+666 were observed at 2.12 μm (K′ band) with the adaptive-optics system on the W. M. Keck-II Telescope as part of the Strong-lensing at High Angular Resolution Programme (SHARP; McKean et al. 2007; Lagattuta, Auger & Fassnacht 2010; Lagattuta et al. 2012; Vegetti et al. 2012; Hsueh et al. 2016, 2017; Chen et al. 2016; Spingola et al. 2018; Chen et al. 2019; Hsueh et al. 2020). The targets were observed using the NIRC2 instrument (narrow camera), which provides a field of view of 10 arcsec × 10 arcsec, and a pixel scale of 9.942 mas pixel−1. The FWHM of the central part of the adaptive optics corrected point spread function (PSF) was about 65 mas. Further details of these observations are given in Table 1. The data reduction was performed by following the methodology described by Auger et al. (2011). The final 2.12 μm images for MG J0751+2716 and JVAS B1938+666 are presented in Figs 1 and 2, respectively.

From left to right: optical and NIR imaging of MG J0751+2716 taken with HST–WFPC2/F555W, HST–WFPC2/F814W, HST–NICMOS/F160W, and Keck-AO at 2.12 μm. The white scale bar in each image represents 1 arcsec.
Figure 1.

From left to right: optical and NIR imaging of MG J0751+2716 taken with HST–WFPC2/F555W, HST–WFPC2/F814W, HST–NICMOS/F160W, and Keck-AO at 2.12 μm. The white scale bar in each image represents 1 arcsec.

From left to right: optical and NIR imaging of JVAS B1938+666 taken with HST–WFPC2/F555W, HST–WFPC2/F814W, HST–NICMOS/F160W, and Keck-AO at 2.12 μm. The white scale bar in each image represents 1 arcsec.
Figure 2.

From left to right: optical and NIR imaging of JVAS B1938+666 taken with HST–WFPC2/F555W, HST–WFPC2/F814W, HST–NICMOS/F160W, and Keck-AO at 2.12 μm. The white scale bar in each image represents 1 arcsec.

Table 1.

Summary of the Hubble Space Telescope optical and Keck Adaptive-Optics NIR observations of MG J0751+2716 and JVAS B1938+666.

TargetDateTelescopeInstrumentAperture/CameraFiltertexp (s)
MG J0751+27161999 May 13HSTWFPC2PC1F555W1600
2000 Oct 21HSTWFPC2PC1F814W5200
1997 Oct 05HSTNICMOSNIC2F160W2560
2011 Dec 30Keck IINirc2NarrowK′3960
2012 Dec 23 and 24Keck IINirc2NarrowK′7200
JVAS B1938+6661999 Apr 24HSTWFPC2PC1F555W2400
1999 Apr 24HSTWFPC2PC1F814W3000
1999 Apr 24HSTNICMOSNIC2F160W5568
2010 Jun 29Keck IINirc2NarrowK′15840
TargetDateTelescopeInstrumentAperture/CameraFiltertexp (s)
MG J0751+27161999 May 13HSTWFPC2PC1F555W1600
2000 Oct 21HSTWFPC2PC1F814W5200
1997 Oct 05HSTNICMOSNIC2F160W2560
2011 Dec 30Keck IINirc2NarrowK′3960
2012 Dec 23 and 24Keck IINirc2NarrowK′7200
JVAS B1938+6661999 Apr 24HSTWFPC2PC1F555W2400
1999 Apr 24HSTWFPC2PC1F814W3000
1999 Apr 24HSTNICMOSNIC2F160W5568
2010 Jun 29Keck IINirc2NarrowK′15840
Table 1.

Summary of the Hubble Space Telescope optical and Keck Adaptive-Optics NIR observations of MG J0751+2716 and JVAS B1938+666.

TargetDateTelescopeInstrumentAperture/CameraFiltertexp (s)
MG J0751+27161999 May 13HSTWFPC2PC1F555W1600
2000 Oct 21HSTWFPC2PC1F814W5200
1997 Oct 05HSTNICMOSNIC2F160W2560
2011 Dec 30Keck IINirc2NarrowK′3960
2012 Dec 23 and 24Keck IINirc2NarrowK′7200
JVAS B1938+6661999 Apr 24HSTWFPC2PC1F555W2400
1999 Apr 24HSTWFPC2PC1F814W3000
1999 Apr 24HSTNICMOSNIC2F160W5568
2010 Jun 29Keck IINirc2NarrowK′15840
TargetDateTelescopeInstrumentAperture/CameraFiltertexp (s)
MG J0751+27161999 May 13HSTWFPC2PC1F555W1600
2000 Oct 21HSTWFPC2PC1F814W5200
1997 Oct 05HSTNICMOSNIC2F160W2560
2011 Dec 30Keck IINirc2NarrowK′3960
2012 Dec 23 and 24Keck IINirc2NarrowK′7200
JVAS B1938+6661999 Apr 24HSTWFPC2PC1F555W2400
1999 Apr 24HSTWFPC2PC1F814W3000
1999 Apr 24HSTNICMOSNIC2F160W5568
2010 Jun 29Keck IINirc2NarrowK′15840

3.2 Hubble Space Telescope

High-resolution optical/NIR observations of MG J0751+2716 and JVAS B1938+666 that were taken with the HST were retrieved from the archive and re-processed. The data sets were mainly obtained as part of the CfA-Arizona Space Telescope Lens Survey (CASTLES; www.cfa.harvard.edu/castles/) and the Cosmic Lens All-Sky Survey (CLASS; Browne et al. 2003; Myers et al. 2003) programmes. For both targets, data were taken using the Wide-Field Planetary Camera 2 (WFPC2) through the F555W and F814W filters (GO-7495; PI: Falco, GO-8268; PI: Impey) and with the Near-Infrared Camera and Multi-Object Spectrograph (NICMOS) using the NIC2 camera through the F160W filter (GO-7255; PI: Jackson, GO-7495; PI: Falco). These data have been published most recently by Alloin et al. (2007) and Lagattuta et al. (2012), and further details can be found there; an observational summary can also be found in Table 1. The data were re-processed using astrodrizzle within the iraf package by applying standard procedures (see Auger et al. 2009) and using a final drizzled pixel scale of 50 mas pixel−1. The final reduced images from the HST are also presented in Figs 1 and 2 for MG J0751+2716 and JVAS B1938+666, respectively.

3.3 Karl G. Jansky VLA

3.3.1 Observations

We carried out high angular resolution interferometric observations that targeted the CO (1–0) emission line with the Ka-band receiver on the VLA, which used multiple configurations and frequency set-ups. MG J0751+2716 was observed using both the C- and B-configurations for 9 and 12 h, respectively, and JVAS B1938+666 was observed using both the B- and A-configurations for 9 and 5 h, respectively (Project ID: 11A-283, 12A-319, 14B-301; PI: McKean). The data were typically taken in short 1.5–3 h observing blocks to aid the scheduling during good weather (see Table 2).

Table 2.

Summary of the Ka-band observations of MG J0751+2716 and JVAS B1938+666 with the VLA.

TargetIDDateConFig.texp (h)
MG J0751+271612A-3192012 Jul 23B1.5
12A-3192012 Aug 18B1.5
12A-3192012 Aug 29B1.5
12A-3192012 Aug 31B1.5
12A-3192012 Sep 01B1.5
12A-3192012 Sep 02B1.5
12A-3192012 Sep 03B3
14B-3012014 Oct 10C3
14B-3012014 Oct 14C3
14B-3012014 Oct 15C3
JVAS B1938+66611A-2832011 Aug 05A2
11A-2832011 Aug 08A1.5
11A-2832011 Aug 05A1.5
12A-3192012 Jun 05B3
12A-3192012 Jun 08B3
12A-3192012 Jun 09B3
15B-3292015 Nov 06D3
TargetIDDateConFig.texp (h)
MG J0751+271612A-3192012 Jul 23B1.5
12A-3192012 Aug 18B1.5
12A-3192012 Aug 29B1.5
12A-3192012 Aug 31B1.5
12A-3192012 Sep 01B1.5
12A-3192012 Sep 02B1.5
12A-3192012 Sep 03B3
14B-3012014 Oct 10C3
14B-3012014 Oct 14C3
14B-3012014 Oct 15C3
JVAS B1938+66611A-2832011 Aug 05A2
11A-2832011 Aug 08A1.5
11A-2832011 Aug 05A1.5
12A-3192012 Jun 05B3
12A-3192012 Jun 08B3
12A-3192012 Jun 09B3
15B-3292015 Nov 06D3
Table 2.

Summary of the Ka-band observations of MG J0751+2716 and JVAS B1938+666 with the VLA.

TargetIDDateConFig.texp (h)
MG J0751+271612A-3192012 Jul 23B1.5
12A-3192012 Aug 18B1.5
12A-3192012 Aug 29B1.5
12A-3192012 Aug 31B1.5
12A-3192012 Sep 01B1.5
12A-3192012 Sep 02B1.5
12A-3192012 Sep 03B3
14B-3012014 Oct 10C3
14B-3012014 Oct 14C3
14B-3012014 Oct 15C3
JVAS B1938+66611A-2832011 Aug 05A2
11A-2832011 Aug 08A1.5
11A-2832011 Aug 05A1.5
12A-3192012 Jun 05B3
12A-3192012 Jun 08B3
12A-3192012 Jun 09B3
15B-3292015 Nov 06D3
TargetIDDateConFig.texp (h)
MG J0751+271612A-3192012 Jul 23B1.5
12A-3192012 Aug 18B1.5
12A-3192012 Aug 29B1.5
12A-3192012 Aug 31B1.5
12A-3192012 Sep 01B1.5
12A-3192012 Sep 02B1.5
12A-3192012 Sep 03B3
14B-3012014 Oct 10C3
14B-3012014 Oct 14C3
14B-3012014 Oct 15C3
JVAS B1938+66611A-2832011 Aug 05A2
11A-2832011 Aug 08A1.5
11A-2832011 Aug 05A1.5
12A-3192012 Jun 05B3
12A-3192012 Jun 08B3
12A-3192012 Jun 09B3
15B-3292015 Nov 06D3

The C- and B-configuration data were taken using 16 spectral windows with a bandwidth of 128 MHz each that were divided into 64 spectral channels; the total bandwidth for the observations was 2.048 GHz in a dual-polarization mode. The central observing frequency for the observations of MG J0751+2716 was νobs = 27.4455 GHz, while for JVAS B1938+666 it was νobs = 37.6826 GHz. The A-configuration data for JVAS B1938+666 were taken using two spectral windows with 128 MHz bandwidth and 64 channels each using dual polarization. However, the spectral windows overlapped to reduce the effect of the sharp bandpass edges on any possible broad component of the emission line. A visibility averaging time of 3 s was used for all data sets. In addition, we re-analysed archival VLA observations in D-configuration for JVAS B1938+666 (Project ID: 15B-329, PI: Sharon). These observations were for 3 h in total, and were taken using 16 spectral windows with a bandwidth of 128 MHz each. Note that 8 spectral windows covering frequencies that included the line emission were divided into 128 spectral channels, whereas 64 channels were used for the 8 spectral windows that covered the continuum emission (see Sharon et al. 2016).

The observing strategy for the observations were the same for all configurations; 3C 48, 3C 286, or 3C 147 were used for the absolute flux-density calibration and nearby phase reference sources were used to determine the relative antenna gains (amplitude and phase) as a function of time and frequency, and also to check the antenna pointing every 1.5 h, when required. The scans on the target were ∼3.5 min each, which were interleaved by ∼1.5 min scans on the phase-reference calibrator. This is a longer cycle-time than is recommended for such high-frequency observations with the VLA. However, given the strong continuum flux-density and large bandwidths that were used, we were able to use self-calibration of the targets to determine the phase variations on shorter time-scales (see below).

3.3.2 Calibration method

All of the data sets were reduced with the Common Astronomy Software Application package (casa; McMullin & et al. 2007), using scripts that applied standard calibration procedures. Here, we summarize the steps. We first perform the standard a-priori calibrations, which included corrections for the antenna positions, the tropospheric opacity and the antenna gain curves as a function of elevation. We then inspect the visibilities in order to flag potential bad data. For the observations of MG J0751+2716, we found radio frequency interference (RFI) between 27.4 and 27.9 GHz that strongly affected the visibilities in the LL circular polarization. Therefore, we use only the visibilities in the RR polarization for the MG J0751+2716 data set. We generally had to flag 2 to 3 antennas out of 27 antennas per observation that were not operational, and the initial 21 s of each scan, when the antennas were recording data while still slewing on-source.

To solve the radio-interferometric Measurement Equation, we use the pre-determined models for the primary flux-density calibrators that have been made by Perley & Butler (2013), adjusted to the correct frequency, and assume a point-source model (flat spectrum) for the secondary phase calibrator. Using these models for the primary calibrator, we solve for the antenna-based delays (phase as a function of frequency) and determine the bandpass solutions (amplitude as a function of frequency). We then determine the amplitude and phase solutions as a function of time using both the primary and secondary calibrators. This process provides a new model for the secondary calibrator, which has the correct flux density and broad-band spectrum. This new model is then used to determine the antenna complex gains as a function of time and frequency. Additional flagging is then done, if required, and the process is repeated until the residual visibilities (calibrated – model) show no major outliers anymore. Finally, we apply the calibration solutions to each calibrator, and then to the target source by interpolating the solutions from the secondary calibrator.

3.3.3 Imaging and self-calibration of the continuum emission

We perform phase-only self-calibration for the continuum emission separately for each data set using the line-free spectral windows. We first make an image based on the calibration procedure described above and then use this model for the source to determine the phase solutions as a function of time. We start with a solution interval that is equal to the scan length, and then decrease this iteratively to a solution interval of 60 s. Note that during this process we apply the phase solutions to all spectral windows, including those with the spectral line. We then concatenate all of the self-calibrated data sets in order to perform the final imaging. We do not use the edge channels of the spectral windows, which are often noisier than the central channels. The images are obtained using a Briggs weighting scheme (Briggs 1995) with the robust parameter set to 0, which is a good compromise between short and long baseline weighting for the VLA. The phase-only self-calibrated images of MG J0751+2716 and JVAS B1938+666 are presented in Figs 3 and 4, respectively.

The 27.4 GHz VLA continuum image of MG J0751+2716, taken in B-configuration (left) and C-configuration (right). For the B-configuration image, the off-source rms noise level is 22 μJy beam−1 and the peak surface brightness is 6 mJy beam−1. The synthesized beam is shown in the bottom left corner and is 0.21 × 0.18 arcsec2 at a position angle of 78.15 deg east of north. For the C-configuration image, the off-source rms noise level is 19 μJy beam−1 and the peak surface brightness is 12 mJy beam−1. The synthesized beam is shown in the bottom left corner and is 0.78 × 0.61 arcsec2 at a position angle of −169.5 deg east of north. In both images, the first contour is 3 times the off-source rms noise level and the contour levels increase by a factor of 2.
Figure 3.

The 27.4 GHz VLA continuum image of MG J0751+2716, taken in B-configuration (left) and C-configuration (right). For the B-configuration image, the off-source rms noise level is 22 μJy beam−1 and the peak surface brightness is 6 mJy beam−1. The synthesized beam is shown in the bottom left corner and is 0.21 × 0.18 arcsec2 at a position angle of 78.15 deg east of north. For the C-configuration image, the off-source rms noise level is 19 μJy beam−1 and the peak surface brightness is 12 mJy beam−1. The synthesized beam is shown in the bottom left corner and is 0.78 × 0.61 arcsec2 at a position angle of −169.5 deg east of north. In both images, the first contour is 3 times the off-source rms noise level and the contour levels increase by a factor of 2.

The 37.7 GHz VLA continuum image of JVAS B1938+666, taken in A-configuration (left) and B-configuration (right). For the A-configuration image, the off-source rms noise level is 40 μJy beam−1 and the peak surface brightness is 9 mJy beam−1. The synthesized beam is shown in the bottom left corner and is 0.058 × 0.041 arcsec2 at a position angle of 84.05 deg east of north. For the B-configuration image, the off-source rms noise level is 17 μJy beam−1 and the peak surface brightness is 20 mJy beam−1. The synthesized beam is shown in the bottom left corner and is 0.15 × 0.11 arcsec2 at a position angle of −17.9 deg east of north. In both images, the first contour is 3 times the off-source rms noise level and the contour levels increase by a factor of 2.
Figure 4.

The 37.7 GHz VLA continuum image of JVAS B1938+666, taken in A-configuration (left) and B-configuration (right). For the A-configuration image, the off-source rms noise level is 40 μJy beam−1 and the peak surface brightness is 9 mJy beam−1. The synthesized beam is shown in the bottom left corner and is 0.058 × 0.041 arcsec2 at a position angle of 84.05 deg east of north. For the B-configuration image, the off-source rms noise level is 17 μJy beam−1 and the peak surface brightness is 20 mJy beam−1. The synthesized beam is shown in the bottom left corner and is 0.15 × 0.11 arcsec2 at a position angle of −17.9 deg east of north. In both images, the first contour is 3 times the off-source rms noise level and the contour levels increase by a factor of 2.

3.3.4 Continuum subtraction and spectral line imaging

The first step in extracting the CO (1–0) emission consists of subtracting the continuum emission from the interferometric data. This is done by fitting a first-order polynomial function in the Fourier space to the real and imaginary parts of the line-free spectral windows only. The model of the continuum is then subtracted from the visibilities and a continuum-subtracted data set is generated. We then made a dirty cube image in order to estimate the rms noise per channel. Subsequently, we interactively clean the cube using a threshold that is three times the noise of the line-free channels and a natural weighting scheme. We also made cubes by applying a uv-taper and also using Hanning smoothing of the uv-data (at the expense of reducing the velocity resolution by a factor of two) to enhance the extended emission from the molecular gas and improve the de-convolution of the channel data. In addition, we combined the visibility data from different VLA configurations for both targets. However, as the highest angular resolution observation in A-configuration for JVAS B1938+666 and in B-configuration for MG J0751+2716 did not detect the CO (1–0) emission line (see below and Fig. A1), the surface brightness sensitivity, and hence, the significance of our detections went down for the combined data sets. Therefore, for our analysis, we use only the B- and C-configuration data sets for JVAS B1938+666 and MG J0751+2716, respectively.

The spectra of the CO (1–0) emission, integrated over the extent of both lens systems, are presented in Figs 5 and 6 for MG J0751+2716 and JVAS B1938+666, respectively. Finally, we construct moment maps for the integrated line intensity (moment zero) and for the line-intensity-weighted velocity (moment one), which are shown in Figs 7 and 8, and will be described in detail in Section 4. The channel maps are shown in Figs 9 and 10. For the moment maps, we use those channels within the FWHM of the line profiles (see Figs 5 and 6) and for the moment one map, we apply a signal-to-noise ratio cut of 4σ. We do not apply any aperture to the moment zero maps. Unfortunately, the signal-to-noise ratio was too low to make a robust velocity dispersion map (moment two).

The integrated spectrum of the CO (1–0) molecular gas emission from MG J0751+2716 from the C-configuration data, relative to the systemic velocity for z = 3.200, using the radio definition of the velocity (νsys = 27.44552 GHz). The dotted blue line is the best single Gaussian fit, while the red line is the best double Gaussian fit. The dashed vertical lines indicate the velocity range used for the moment maps (−300 to +180 km s−1). The velocity width of each channel is 21.8 km s−1 and the spectrum has been smoothed with a boxcar of 109 km s−1 (5 channels) width for clarity.
Figure 5.

The integrated spectrum of the CO (1–0) molecular gas emission from MG J0751+2716 from the C-configuration data, relative to the systemic velocity for z = 3.200, using the radio definition of the velocity (νsys = 27.44552 GHz). The dotted blue line is the best single Gaussian fit, while the red line is the best double Gaussian fit. The dashed vertical lines indicate the velocity range used for the moment maps (−300 to +180 km s−1). The velocity width of each channel is 21.8 km s−1 and the spectrum has been smoothed with a boxcar of 109 km s−1 (5 channels) width for clarity.

The integrated spectrum of the CO (1–0) molecular gas emission from JVAS B1938+666 from the B-configuration data, relative to the systemic velocity for z = 2.059, using the radio definition of the velocity (νsys = 37.68264 GHz). The dotted blue line is the best single Gaussian fit, while the red line is the best double Gaussian fit. The dashed vertical lines indicate the velocity range used for the moment maps (−350 to +480 km s−1). The velocity width of each channel is 31.8 km s−1 and the spectrum has been smoothed with a boxcar of 95.4 km s−1 (three channels) width for clarity.
Figure 6.

The integrated spectrum of the CO (1–0) molecular gas emission from JVAS B1938+666 from the B-configuration data, relative to the systemic velocity for z = 2.059, using the radio definition of the velocity (νsys = 37.68264 GHz). The dotted blue line is the best single Gaussian fit, while the red line is the best double Gaussian fit. The dashed vertical lines indicate the velocity range used for the moment maps (−350 to +480 km s−1). The velocity width of each channel is 31.8 km s−1 and the spectrum has been smoothed with a boxcar of 95.4 km s−1 (three channels) width for clarity.

The moment zero (left, obtained in the velocity range −300 to +180 km s−1) and moment one (right) maps of the CO (1–0) emission from MG J0751+2716 for B-configuration (first row), C-configuration using natural weighting (second row) and with a 1 arcsec FWHM Gaussian taper of the uv-data (third row). The contours represent the B-configuration and C-configuration continuum emission for reference, and are in successive integer powers of two times the off-source rms noise (30 μJy beam−1). Note that there is no detection of the CO (1–0) emission in the observations in B-configuration. The moment maps have been made using cubes with channel widths of 43.7 km s−1. The synthesized beam is shown in the bottom left corner of each panel and is 0.212 × 0.178 arcsec2 at a position angle of −78 deg (first row), 1.16 × 0.93 arcsec2 at a position angle of 12.5 deg (second row), and 1.60 × 1.42 arcsec2 at a position angle of 25.5 deg (third row). In each image, we also overplot the moment zero contours (white in the left column, grey in the right column), which increase by factors of 2. The first contour level is the off-source rms, which is 23 mJy km s−1 beam−1 for the naturally weighted map and 30 mJy km s−1 beam−1 for the tapered map.
Figure 7.

The moment zero (left, obtained in the velocity range −300 to +180 km s−1) and moment one (right) maps of the CO (1–0) emission from MG J0751+2716 for B-configuration (first row), C-configuration using natural weighting (second row) and with a 1 arcsec FWHM Gaussian taper of the uv-data (third row). The contours represent the B-configuration and C-configuration continuum emission for reference, and are in successive integer powers of two times the off-source rms noise (30 μJy beam−1). Note that there is no detection of the CO (1–0) emission in the observations in B-configuration. The moment maps have been made using cubes with channel widths of 43.7 km s−1. The synthesized beam is shown in the bottom left corner of each panel and is 0.212 × 0.178 arcsec2 at a position angle of −78 deg (first row), 1.16 × 0.93 arcsec2 at a position angle of 12.5 deg (second row), and 1.60 × 1.42 arcsec2 at a position angle of 25.5 deg (third row). In each image, we also overplot the moment zero contours (white in the left column, grey in the right column), which increase by factors of 2. The first contour level is the off-source rms, which is 23 mJy km s−1 beam−1 for the naturally weighted map and 30 mJy km s−1 beam−1 for the tapered map.

The moment zero (left, obtained in the velocity range −350 to +480 km s−1) and moment one (right) maps of the CO (1–0) emission from JVAS B1938+666 for A-configuration using natural weighting (first row), B-configuration using natural weighting (second row) and with a 0.3 arcsec FWHM Gaussian taper of the uv-data (third row), and D-configuration using natural weighting (fourth row). The moment maps have been made using cubes with channel widths of 31.8 km s−1. The black contours represent the A-configuration (first row) and B-configuration (second to fourth row) continuum emission for reference. Contours increase by powers of two; the first contour is the off-source rms noise level (40 and 60 μJy beam−1 for A-configuration and B-configuration, respectively). Note that there is no detection of the CO (1–0) emission in the observations in A-configuration. The synthesized beam is shown in the bottom left corner of each panel and is 0.085 × 0.061 arcsec2 at a position angle of 77 deg (first row), 0.25 × 0.20 arcsec2 at a position angle of 8.5 deg (second row), 0.42 × 0.41 arcsec2 at a position angle of 4.9 deg (third row), and 2.6 × 1.9 arcsec2 at a position angle of −46.1 deg (fourth row). In each image, we also overplot the moment zero contours (white in the left column, grey in the right column), which increase by factors of 2. The first contour level corresponds to the off-source rms, which is 30 mJy km s−1 beam−1 for the naturally weighted image (second row), 43 mJy km s−1 beam−1 for the tapered image (third row), and 47 mJy km s−1 beam−1 for the D-array image (fourth row).
Figure 8.

The moment zero (left, obtained in the velocity range −350 to +480 km s−1) and moment one (right) maps of the CO (1–0) emission from JVAS B1938+666 for A-configuration using natural weighting (first row), B-configuration using natural weighting (second row) and with a 0.3 arcsec FWHM Gaussian taper of the uv-data (third row), and D-configuration using natural weighting (fourth row). The moment maps have been made using cubes with channel widths of 31.8 km s−1. The black contours represent the A-configuration (first row) and B-configuration (second to fourth row) continuum emission for reference. Contours increase by powers of two; the first contour is the off-source rms noise level (40 and 60 μJy beam−1 for A-configuration and B-configuration, respectively). Note that there is no detection of the CO (1–0) emission in the observations in A-configuration. The synthesized beam is shown in the bottom left corner of each panel and is 0.085 × 0.061 arcsec2 at a position angle of 77 deg (first row), 0.25 × 0.20 arcsec2 at a position angle of 8.5 deg (second row), 0.42 × 0.41 arcsec2 at a position angle of 4.9 deg (third row), and 2.6 × 1.9 arcsec2 at a position angle of −46.1 deg (fourth row). In each image, we also overplot the moment zero contours (white in the left column, grey in the right column), which increase by factors of 2. The first contour level corresponds to the off-source rms, which is 30 mJy km s−1 beam−1 for the naturally weighted image (second row), 43 mJy km s−1 beam−1 for the tapered image (third row), and 47 mJy km s−1 beam−1 for the D-array image (fourth row).

Channel maps (43.7 km s−1 width) for the CO (1–0) emission line from −235 to 246 km s−1 in MG J0751+2716, relative to the systemic velocity for z = 3.200, using the radio definition of the velocity (νsys = 27.44552 GHz). The velocity of each channel map is indicated at the top right of each panel. The black contours represent the moment-zero emission imaged using natural weights at 3 × σrms, which is 30 mJy km s−1 beam−1. The white contours increase by factors of 2, where the first contour corresponds to the off-source rms noise per channel, which is on average 0.1 mJy beam−1. The data have been Hanning smoothed and the cube is tapered to give a lower resolution image with a synthesized beam of 1.16 × 1.42 arcsec2 at a position angle of 25.4 deg east of north. The linear intensity scale ranges from −0.1 to 0.7 mJy beam−1 km s−1. The maps show that the CO (1–0) emission is extended with a velocity dependent structure.
Figure 9.

Channel maps (43.7 km s−1 width) for the CO (1–0) emission line from −235 to 246 km s−1 in MG J0751+2716, relative to the systemic velocity for z = 3.200, using the radio definition of the velocity (νsys = 27.44552 GHz). The velocity of each channel map is indicated at the top right of each panel. The black contours represent the moment-zero emission imaged using natural weights at 3 × σrms, which is 30 mJy km s−1 beam−1. The white contours increase by factors of 2, where the first contour corresponds to the off-source rms noise per channel, which is on average 0.1 mJy beam−1. The data have been Hanning smoothed and the cube is tapered to give a lower resolution image with a synthesized beam of 1.16 × 1.42 arcsec2 at a position angle of 25.4 deg east of north. The linear intensity scale ranges from −0.1 to 0.7 mJy beam−1 km s−1. The maps show that the CO (1–0) emission is extended with a velocity dependent structure.

Channel maps (63.6 km s−1 width) for the CO (1–0) emission line from −281.3 to 418.8 km s−1 in JVAS B1938+666, relative to the systemic velocity for z = 2.059, using the radio definition of the velocity (νsys = 37.68264 GHz). The velocity of each channel map is indicated at the top right of each panel. The black contours represent the moment-zero emission at 3 × σrms, which is 43 mJy km s−1 beam−1. The white contours increase by factors of 2, where the first contour corresponds to the off-source rms noise per channel, which is on average 75 μJy beam−1. The data have been Hanning smoothed and the cube is tapered to give a lower resolution image with a synthesized beam of 0.42 × 0.41 arcsec2 at a position angle of 4.9 deg east of north. The linear intensity scale ranges from −0.01 to 0.5 mJy km s−1 beam−1. The maps show that the CO (1–0) emission is extended with a velocity dependent structure.
Figure 10.

Channel maps (63.6 km s−1 width) for the CO (1–0) emission line from −281.3 to 418.8 km s−1 in JVAS B1938+666, relative to the systemic velocity for z = 2.059, using the radio definition of the velocity (νsys = 37.68264 GHz). The velocity of each channel map is indicated at the top right of each panel. The black contours represent the moment-zero emission at 3 × σrms, which is 43 mJy km s−1 beam−1. The white contours increase by factors of 2, where the first contour corresponds to the off-source rms noise per channel, which is on average 75 μJy beam−1. The data have been Hanning smoothed and the cube is tapered to give a lower resolution image with a synthesized beam of 0.42 × 0.41 arcsec2 at a position angle of 4.9 deg east of north. The linear intensity scale ranges from −0.01 to 0.5 mJy km s−1 beam−1. The maps show that the CO (1–0) emission is extended with a velocity dependent structure.

4 LENS PLANE PROPERTIES

We now review the multiwavelength properties of MG J0751+2716 and JVAS B1938+666 in the lens plane, which are summarized in Fig. 11, and we also compare with previous results taken at a lower angular resolution.

The lens-plane composite multiwavelength images of MG J0751+2716 (left) and JVAS B1938+666 (right). In the case of MG J0751+2716, a RGB rendering is made using the 2.12 μm Keck adaptive optics (red), the HST WFPC2-F814W (green) and the HST WFPC2-F555W (blue), and the white contours show the radio continuum emission from global VLBI imaging at 1.7 GHz (Spingola et al. 2018). In the case of JVAS B1938+666, a RGB rendering is made using the 2.12 μm Keck adaptive optics (red), the HST NICMOS-F160W (green) and the HST WFPC2-F814W (blue), and the white contours show the radio continuum emission from VLA A-configuration imaging at 37.7 GHz. The green contours show the CO (1–0) moment zero emission for both lensed objects, and increase by factors of three. The first contour level is at 43 and 30 mJy beam−1 for MG J0751+2716 and JVAS B1938+666, respectively. The different wavebands have been aligned using the lens model to fix the position of the lensing galaxy with respect to the lensed emission.
Figure 11.

The lens-plane composite multiwavelength images of MG J0751+2716 (left) and JVAS B1938+666 (right). In the case of MG J0751+2716, a RGB rendering is made using the 2.12 μm Keck adaptive optics (red), the HST WFPC2-F814W (green) and the HST WFPC2-F555W (blue), and the white contours show the radio continuum emission from global VLBI imaging at 1.7 GHz (Spingola et al. 2018). In the case of JVAS B1938+666, a RGB rendering is made using the 2.12 μm Keck adaptive optics (red), the HST NICMOS-F160W (green) and the HST WFPC2-F814W (blue), and the white contours show the radio continuum emission from VLA A-configuration imaging at 37.7 GHz. The green contours show the CO (1–0) moment zero emission for both lensed objects, and increase by factors of three. The first contour level is at 43 and 30 mJy beam−1 for MG J0751+2716 and JVAS B1938+666, respectively. The different wavebands have been aligned using the lens model to fix the position of the lensing galaxy with respect to the lensed emission.

4.1 MG J0751+2716

At the observed-frame NIR wavelengths (2.12 μm) the lensed source in MG J0751+2716 consists of two compact red components with a faint extended arc that is due to the stellar emission from the AGN host galaxy (see Figs 1 and 11). We note that the improved resolution and surface brightness sensitivity provided by the adaptive optics imaging from the SHARP survey clearly resolves the AGN host galaxy emission in both lensed images from that of the foreground lensing galaxy (see Fig. 1, fourth column). As already discussed by Alloin et al. (2007), at optical wavelengths there are also two blue components that are within the Einstein radius of the system. The nature of these two blue components is unclear, as there is currently no redshift information available for them, and they have similar colours to the blue group members of the main lens (Spingola et al. 2018). However, as we will show in the next section, their surface brightness distribution and image geometry are consistent with a multiply imaged blue star-forming companion at the same redshift as the AGN host galaxy.

The radio continuum emission of the background source is slightly resolved in our VLA C-configuration imaging, but is well resolved in the B-configuration imaging (see Fig. 3); these data show two extended arcs and a slightly resolved component at 27.4 GHz that is consistent with previous imaging at higher angular resolution and at a lower frequency (Lehar et al. 1997; Spingola et al. 2018). We find that the emission detected on VLBI scales by Spingola et al. (2018) has a faint compact component that is coincident with the centre of the AGN host galaxy, but the dominant emission is offset and is presumably due to the non-thermal jet emission that extends beyond the host galaxy’s stellar halo. We believe the radio emission coincident with the AGN host galaxy to be the AGN core. However, higher angular resolution observations with spectral index information are necessary to confidently identify the radio core (expected to have a flat radio spectral index) in this system. The total continuum flux density is S27.4 GHz = 24 ± 2 mJy and S27.4 GHz = 25 ± 3 mJy for the C- and B-configuration data sets, respectively. This suggests that even at these high frequencies the jet-emission is still significant and there is no evidence for time variability in the continuum emission.

The integrated line profile of the CO (1–0) emission, as observed with the VLA in C-configuration, is well represented by a Gaussian, although there is evidence of asymmetry in the line that is likely due to different velocity components being magnified differently (see Fig. 5). In fact, a two-component Gaussian fit finds a redshifted Gaussian at a centroid of 283 ± 25 km s−1, an FWHM of 64 ± 30 km s−1 and a peak of 0.9 ± 0.2 mJy. Nevertheless, as this fit has a similar reduced χ2 value to that of the single Gaussian fit, we cannot consider this asymmetry statistically significant. Therefore, for deriving the CO (1–0) line luminosity, we use the single Gaussian fit parameters (peak of 1.5 ± 0.1 mJy and an FWHM of 378 ± 33 km s−1). The CO (1–0) line luminosity of MG J0751+2716 is |$\mu _{\rm CO}\times L^\prime _{\rm CO (1-0)} = (25.7\pm 5.1) \times 10^{10}$| K km s−1 pc2 by following Solomon & Vanden Bout (2005), where μCO is the magnification factor (see Table 3). These observed line properties are in excellent agreement with the results obtained by Riechers et al. (2011), who used the GBT and the VLA in D-configuration, and demonstrate that our VLA C-configuration data set is recovering all of the CO (1–0) molecular gas associated with the lensed AGN.

Table 3.

Observed line and continuum parameters for the VLA observations of MG J0751+2716 and JVAS B1938+666. (Left to right) Given is the target name, the VLA configuration used during the observations, the continuum flux density, the CO (1–0) spectral line peak, FWHM and integrated line intensity (all three from a Gaussian fit), the specific CO line luminosity (not corrected for the lensing magnification of the CO μCO) that is calculated following Solomon & Vanden Bout (2005), the CO magnification factor and the major and minor axes of the two-dimensional Gaussian fit to the CO emitting region in the source plane (see Sections  5.2 and  5.3).

TargetConfig.SνΔvFWHMICO|$\mu _{\rm CO} \times L^\prime _{\rm CO}$|μCOMajor axisMinor axis
(mJy)(km s−1)(Jy km s−1)(1010 K km s−1 pc2)(kpc)(kpc)
MG J0751+2716C1.5 ± 0.1378 ± 330.56 ± 0.1225.7 ± 5.12.1 ± 0.820 ± 36 ± 2
JVAS B1938+666B0.9 ± 0.4683 ± 2800.94 ± 0.2320.2 ± 4.08.7 ± 3.15 ± 22 ± 1
TargetConfig.SνΔvFWHMICO|$\mu _{\rm CO} \times L^\prime _{\rm CO}$|μCOMajor axisMinor axis
(mJy)(km s−1)(Jy km s−1)(1010 K km s−1 pc2)(kpc)(kpc)
MG J0751+2716C1.5 ± 0.1378 ± 330.56 ± 0.1225.7 ± 5.12.1 ± 0.820 ± 36 ± 2
JVAS B1938+666B0.9 ± 0.4683 ± 2800.94 ± 0.2320.2 ± 4.08.7 ± 3.15 ± 22 ± 1
Table 3.

Observed line and continuum parameters for the VLA observations of MG J0751+2716 and JVAS B1938+666. (Left to right) Given is the target name, the VLA configuration used during the observations, the continuum flux density, the CO (1–0) spectral line peak, FWHM and integrated line intensity (all three from a Gaussian fit), the specific CO line luminosity (not corrected for the lensing magnification of the CO μCO) that is calculated following Solomon & Vanden Bout (2005), the CO magnification factor and the major and minor axes of the two-dimensional Gaussian fit to the CO emitting region in the source plane (see Sections  5.2 and  5.3).

TargetConfig.SνΔvFWHMICO|$\mu _{\rm CO} \times L^\prime _{\rm CO}$|μCOMajor axisMinor axis
(mJy)(km s−1)(Jy km s−1)(1010 K km s−1 pc2)(kpc)(kpc)
MG J0751+2716C1.5 ± 0.1378 ± 330.56 ± 0.1225.7 ± 5.12.1 ± 0.820 ± 36 ± 2
JVAS B1938+666B0.9 ± 0.4683 ± 2800.94 ± 0.2320.2 ± 4.08.7 ± 3.15 ± 22 ± 1
TargetConfig.SνΔvFWHMICO|$\mu _{\rm CO} \times L^\prime _{\rm CO}$|μCOMajor axisMinor axis
(mJy)(km s−1)(Jy km s−1)(1010 K km s−1 pc2)(kpc)(kpc)
MG J0751+2716C1.5 ± 0.1378 ± 330.56 ± 0.1225.7 ± 5.12.1 ± 0.820 ± 36 ± 2
JVAS B1938+666B0.9 ± 0.4683 ± 2800.94 ± 0.2320.2 ± 4.08.7 ± 3.15 ± 22 ± 1

Our VLA C-configuration observations are about three times better in angular resolution (equivalent to an order of magnitude improvement in beam area) than those carried out previously and show that the CO (1–0) molecular gas emission from MG J0751+2716 is smoothly extended in a north-east to south-west direction. Also, the peak of the integrated CO (1–0) intensity is offset with respect to the peak of the radio continuum emission, at a matched resolution, which demonstrates that the gas and the radio jets are not co-spatial (see Fig. 7). The extended nature of the molecular gas distribution is also seen in velocity space, where we detect a velocity gradient that passes through the lens system. We note that the dominant velocity component is blueshifted with respect to the systemic velocity of the AGN, which is again consistent with differential magnification, affecting the line profile shape. Alloin et al. (2007) also detected a velocity gradient in their 0.5 arcsec resolved CO (3–2) emission with the Plateau de Bure Interferometer (PdBI), although there, the gradient is in a north–south direction and the CO (3–2) emission is contained within the Einstein radius. We also see a slight north–south velocity gradient in the blueshifted component of our velocity map, but the beam-smearing makes this less pronounced (see Fig. 7).

Finally, we note that there is no significant detection of the CO (1–0) molecular gas with the VLA in B-configuration, even though these data are at a similar depth to the C-configuration observations (see Fig. 7, first row). This suggests that for MG J0751+2716, the molecular gas distribution is quite diffuse and resolved out at 0.2 arcsec-scales.

4.2 JVAS B1938+666

The optical and NIR imaging of JVAS B1938+666 clearly resolves the early-type foreground lensing galaxy and the almost complete Einstein ring of the AGN host galaxy (see Fig. 2), as was previously reported by King et al. (1997) and Lagattuta et al. (2012). We find that the radio continuum emission at 37.7 GHz is not co-incident with the AGN host galaxy, but is extended beyond the stellar halo (see Fig. 11): the offset between the radio and NIR emission is significant considering the astrometric precision of the Keck adaptive optics (4 mas) and the VLA A-array observations (30 mas; see below). Both the doubly and quadruply imaged parts and the extended gravitational arc that were found at lower frequencies (King et al. 1997) are also detected in our B- and A-configuration data sets, with measured continuum flux-densities of S37.7 GHz = 59.1 ± 3.0 mJy and S37.7 GHz = 61.4 ± 3.0 mJy, respectively. Again, the lack of strong variability and the offset in the position of the radio components from the AGN host galaxy are both consistent with non-thermal jet-emission. This interpretation is also in agreement with the parametric lens modelling of the NIR and 5 GHz radio data by King et al. (1997). In addition, unlike in the case of MG J0751+2716, we find no evidence for the radio core in the high-frequency data, which we would expect to be coincident with the centre of the AGN host galaxy.

The CO (1–0) emission line has a more complicated profile than can be modelled by a single Gaussian function, having an asymmetric structure with one strong peak centred at −190 km s−1 and another fainter peak centred at +180 km s−1 relative to the systemic velocity of the AGN; this kind of line profile is consistent with a differential magnification of a double horn profile from a rotating gas disc (e.g. Popović & Chartas 2005; Banik & Zhao 2015; Rybak et al. 2015b; Leung et al. 2017; Paraficz et al. 2018; Stacey & McKean 2018). A Gaussian fit to the profile gives a line peak of 0.9 ± 0.4 mJy, an FWHM of 683 ± 280 km s−1, and a CO (1–0) line luminosity of |$\mu _{\rm CO}\times L^\prime _{\rm CO} =(20.2 \pm 4.0) \times 10^{10}$| K km s−1 pc2 (see Table 3). The overall line structure and FWHM are consistent within the large uncertainties with the results of Sharon et al. (2016), who first detected CO (1–0) from JVAS B1938+666 using the VLA in D-configuration, demonstrating that our higher angular-resolution imaging is recovering most, if not all, of the CO (1–0) molecular gas emission.

Our B-configuration spectral-line imaging of the CO (1–0) has an angular resolution that is almost a factor of 10 better than previous studies. These data fully resolve the molecular gas from JVAS B1938+666 into an Einstein ring that closely matches the position of the AGN host galaxy emission, but is also clearly more extended. With a beam-size of ∼0.25 arcsec, this represents the highest angular resolution imaging of extended CO (1–0) emission from a high-redshift object, which is further enhanced in angular resolution by the gravitational lensing. Overall, the surface brightness distribution of the molecular gas is rather smooth when tapering the visibilities, with some higher surface brightness clumps, and a clear highest peak brightness component to the north-west of the AGN host galaxy and the non-thermal radio emission. We highlight that the smoothness of the CO (1–0) intensity might be due to the limited angular resolution and the tapering of the visibilities. We find that the Einstein ring of the molecular gas has significant velocity structure, with the most redshifted component being in the doubly imaged region and associated with the brightness emission, and the blueshifted component being quadruply imaged and forming the Einstein ring; this surface brightness distribution of the gas explains the asymmetric line profile described above. Also, the most blueshifted component extends to the east of the molecular gas ring and the AGN host galaxy. This can be interpreted as a velocity gradient along the east-west direction across the lens system in the moment one map.

5 INTRINSIC SOURCE PROPERTIES

We now describe the multiwavelength source reconstruction of MG J0751+2716 and JVAS B1938+666, shown in Figs 12 and 13, respectively, in order to infer the intrinsic properties of the two lensed objects.

Composite source-plane reconstruction of MG J0751+2716. Left: The intrinsic CO (1–0) surface density distribution (colour map), where the black contours indicate the non-thermal radio emission, which are set to 20, 40, 60, 80, and 95 per cent of the peak intensity. Centre: A zoom of the central part of the system, where the rest-frame UV/optical emission is shown in red (Keck-AO), green (F814W) and blue (F555W), and the white contours indicate the radio emission, which are set to 20, 40, 60, 80, and 95 per cent of the peak intensity. Right: The intrinsic velocity field of MG J0751+2716. The black contours trace the moment zero emission, which are set to 1, 20, 40, 60, 80, and 95 per cent of the moment zero peak. The velocity gradient seen in the north–south direction is indicated by the dashed circle (region A), while the north-east component at average velocity +90 km s−1 is indicated by the solid circle (region B). The purple contours indicate the non-thermal radio emission, which are set to 20, 40, 60, 80, and 95 per cent of the peak intensity.
Figure 12.

Composite source-plane reconstruction of MG J0751+2716. Left: The intrinsic CO (1–0) surface density distribution (colour map), where the black contours indicate the non-thermal radio emission, which are set to 20, 40, 60, 80, and 95 per cent of the peak intensity. Centre: A zoom of the central part of the system, where the rest-frame UV/optical emission is shown in red (Keck-AO), green (F814W) and blue (F555W), and the white contours indicate the radio emission, which are set to 20, 40, 60, 80, and 95 per cent of the peak intensity. Right: The intrinsic velocity field of MG J0751+2716. The black contours trace the moment zero emission, which are set to 1, 20, 40, 60, 80, and 95 per cent of the moment zero peak. The velocity gradient seen in the north–south direction is indicated by the dashed circle (region A), while the north-east component at average velocity +90 km s−1 is indicated by the solid circle (region B). The purple contours indicate the non-thermal radio emission, which are set to 20, 40, 60, 80, and 95 per cent of the peak intensity.

Composite source-plane reconstruction of JVAS B1938+666. Left: The colour map is the CO (1–0) surface density distribution, while the red and white contours indicate the rest-frame optical (Keck-AO) and radio emission, respectively, where the contour levels are set to 20, 40, 60, 80, and 95 per cent of the peak optical and radio intensity. Right: The intrinsic velocity field of JVAS B1938+666, where the black contours trace the CO (1–0) moment zero emission, which are set to 1, 20, 40, 60, 80, and 95 per cent of the moment zero peak.
Figure 13.

Composite source-plane reconstruction of JVAS B1938+666. Left: The colour map is the CO (1–0) surface density distribution, while the red and white contours indicate the rest-frame optical (Keck-AO) and radio emission, respectively, where the contour levels are set to 20, 40, 60, 80, and 95 per cent of the peak optical and radio intensity. Right: The intrinsic velocity field of JVAS B1938+666, where the black contours trace the CO (1–0) moment zero emission, which are set to 1, 20, 40, 60, 80, and 95 per cent of the moment zero peak.

5.1 Lens modelling

In order to obtain the source plane surface brightness distribution of both targets for the optical and NIR data, we use the pixellated source reconstruction technique developed by Vegetti & Koopmans (2009) and further improved by Ritondale et al. (2019) and Rizzo et al. (2018). This code models the lens potential, the surface brightness distribution of the foreground lensing galaxy and the surface brightness distribution of the background source simultaneously in a fully Bayesian framework. We find the light profile of the lensing galaxy is well described by two elliptical Sérsic profiles for MG J0751+2716 and one elliptical Sérsic profile for JVAS B1938+666 (consistent with Lagattuta et al. 2012 for the latter).

Crucial to carrying out a multiwavelength analysis is the correct alignment of the different data sets, which have uncertainties in the absolute astrometry of up to ∼0.3 arcsec. We align the optical, NIR and radio data using the inferred positions of the lensing mass, which provides a common reference point between all data sets. We use the best-quality lens mass models from Lagattuta et al. (2012) and Spingola et al. (2018), keeping all of the lens mass model parameters fixed except for the lensing mass position, which is allowed to vary, and apply a backward ray-tracing approach to determine the maximum likelihood source whilst optimizing for the position of the lensing mass. This approach provides a precise measurement of the relative astrometry between the data sets, and is another advantage of multiwavelength studies that use gravitationally lensed objects. The uncertainty in the lensing mass position, which translates to the uncertainty in the multiwavelength alignment, is determined using mulitnest (Feroz, Hobson & Bridges 2009) to sample the posterior density distribution. The uncertainty on the position of the lensing mass of MG J0751+2716 is inferred at 2.5 mas (1σ) precision from the VLA data set and at 1.5 mas precision from the Keck adaptive optics data set. For JVAS B1938+666, the precision on the lensing mass position is 30 mas from the VLA data set and 4 mas from the Keck adaptive optics data set.

In order to reconstruct the radio continuum and spectral-line emission in the source plane, we use a Bayesian pixellated lens modelling code that fits directly in the visibility space. This new extension of the Vegetti & Koopmans (2009) method will be presented in detail in a follow-up paper (Powell et al. in preparation). Due to the low signal-to-noise ratio detection of the CO (1–0) line, we do not use the full spectral resolution of the available line channels, but instead we average the data in frequency.

For MG J0751+2716, we cover the velocity structure of the line emission with 12 channels, each with a velocity width of 43.7 km s−1. Moreover, we use only baselines shorter than 1410 m, where most of the signal is detected. This uv-cut leads to an angular resolution of about 1.6 arcsec. For JVAS B1938+666, we cover the velocity structure with six channels with a velocity width of 63.6 km s−1 and we apply a uv-cut of 4200 m, which corresponds to an angular resolution of about 0.4 arcsec. For both targets, we compute the moment maps in the standard manner, by integrating the de-lensed spectral channels along the velocity axis to obtain the total intensity map and intensity-weighted velocity field,1 and we include only pixels that have a signal-to-noise ratio larger than 5.

To parametrize the properties of the lensed AGN host galaxies, we fit Sérsic profiles to the reconstructed optical/NIR emission using galfit in the source plane (Peng et al. 2010) to determine the effective radius (Re) and the Sérsic index (n) of their light distribution. For the CO (1–0) emission, we fit a two-dimensional Gaussian to estimate the major and minor axis of the molecular gas distribution. We also fit the CO (1–0) emission with a Sérsic profile to obtain the Re, which will be used to estimate the dynamical mass. To calculate the intrinsic luminosities, we sum the emission in the reconstructed source plane, as this removes the effects of differential magnification from our analysis.

5.2 Source-plane morphology of MG J0751+2716

The multiwavelength source-plane reconstruction of MG J0751+2716 is shown in Fig. 12. The object has a complex morphology, where the two distinct rest-frame optical components are found to be separated by ∼1 kpc in projection, the jet emission from the AGN is extended by ∼2 kpc in projection, and the diffuse molecular gas distribution extends far beyond the optical and radio components, with an effective radius of 17 ± 5 kpc. We highlight that the optical-radio continuum and CO-radio continuum offsets are also detected in the lens plane at high significance (∼200 and ∼300 mas, respectively), given the uncertainty on the lensing galaxy position, which is of order 2 mas (see Section 5.1).

When fitting the gas distribution with a two-dimensional Gaussian, we found that the CO (1–0) emission extends with a major axis of 20 ± 3 kpc and a minor axis of 6 ± 2 kpc in projection. Nevertheless, we believe that these sizes should be considered as upper limits. Given the limited angular resolution of our observations, MG J0751+2716 is barely spatially resolved (covered only by ∼3 beam elements in the lens plane, see Fig. 7). As our B-configuration observations at higher angular resolution did not detect any emission from the CO (1–0), this might be taken as evidence for the gas being intrinsically extended. However, the non-detection could also be related to the surface brightness sensitivity of the B-configuration observations, which would need to be about 10 times deeper to detect all of the resolved emission from the CO (1–0) found with the VLA in C-configuration. For this reason, we cannot rule out that the cold molecular gas contains several compact structures in addition to the smooth extended component we detect here. Given the extremely deep imaging with the VLA that would be required to test whether there are any compact features in the CO (1–0) emission, imaging of higher excitation CO (3–2) with ALMA will likely provide a better estimate of the structure of the CO gas in this object.

The peak integrated intensity of the molecular gas is offset with respect to the radio and optical emission by almost 2 kpc in projection. Moreover, the source-reconstructed velocity field shows a gradient that is perpendicular to the major axis of the gas intensity distribution (called region A in Fig. 12), which is consistent with the CO (3–2) velocity field measured by Alloin et al. (2007). This velocity gradient could be interpreted as a rotating disc in the north–south direction (e.g. Smit et al. 2018), but it could also be due to the two optical components moving at different velocities, as for example, in the case of interacting galaxies (e.g. Jones et al. 2010). In addition, there is a component with an average velocity of around +90 km s−1, which is located in the north-east part of the velocity field, and is offset with respect to the bulk of the CO (1–0) emission associated with the AGN by ∼10 kpc in projection (indicated as region B in Fig. 12). The intrinsic line luminosity is found to be |$L^\prime _{\rm CO} = (1.6\pm 0.6) \times 10^{11}$| K km s−1 pc2, which is in agreement with the |$L^\prime _{\rm CO} = (2.2\pm 0.2) \times 10^{11}$| K km s−1 pc2 determined by Alloin et al. (2007), who used the CO (3–2) emission.

For the blue and red optical components, we find effective radii of |$R_{\rm {e}}^{\rm blue} = 530 \pm 90$| pc and |$R_{\rm {e}}^{\rm red} =300 \pm 40$| pc, respectively. The compact size of the red component is robust given the excellent sensitivity and angular resolution of the Keck adaptive optics observations. Instead, the blue component shows evidence for a more extended emission in the HST–WFPC2/F555W observations, but the signal-to-noise ratio is too low to confidently recover the possible optical extended arcs in the source plane (recall that the Bayesian lens modelling procedure derives the best source model given the data). The Sérsic index of the blue component is n = 0.9 ± 0.3, which indicates a more discy structure, while the red component is closer to a De Vaucouleurs profile as n = 4.5 ± 0.2.

The radio jets are aligned with the major axis of the red component and are centred on it, but extend beyond the rest-frame optical emission of the host galaxy (see Fig. 12). The angular extent of the radio jets of just ∼2 kpc may be an indication for the AGN being young or for the presence of a dense surrounding medium (or partly due to projection effects). We note that the eastern jet is also in the direction of the peak in the CO molecular gas distribution, which could be evidence of a jet–gas interaction in the dense intracluster medium, but further higher resolution data would be needed to confirm this.

If we assume that the two optical components are both galaxies, the source morphology of MG J0751+2716 could be interpreted as a possible early-stage merger between the two, which are embedded in an extended molecular gas reservoir. Also, the merger scenario between these two galaxies can provide a suitable explanation for the high FIR luminosity observed with HerschelFIR × LFIR = 1013.4 M; Stacey et al. 2018), as starbursts are thought to be triggered through galaxy interactions (e.g. Sanders et al. 1988; Genzel et al. 2001; Hopkins et al. 2006, 2008).

Alternatively, it could be that the blue component is a Ly α cloud illuminated by the AGN continuum, as the HST F555W filter covers the wavelength range of the Ly α emission at z = 3.2. These Ly α clouds are often found associated with radio AGN, and they are believed to consist of re-scattered Ly α photons by the neutral hydrogen surrounding the continuum source (e.g. Hayes, Scarlata & Siana 2011; North et al. 2017).

5.3 Source-plane morphology of JVAS B1938+666

The multiwavelength reconstruction of the JVAS B1938+666 source-plane is shown in Fig. 13. The NIR emission consists of a single component with an effective radius of Re = 460 ± 70 pc and a Sérsic index of n = 1.5 ± 0.2. This compact red galaxy is likely hosting the AGN, which is composed of two almost unresolved lobes/hotspots that are separated by ∼300 pc in projection. Given the flat radio spectra of the two components and their symmetric emission around a plausible dust-obscured core, it has been suggested that JVAS B1938+666 is likely a compact symmetric object (CSO; King et al. 1997). Similar to MG J0751+2716, it is not clear if the radio source is young, or whether the radio source is contained within the medium around the host galaxy.

A two-dimensional Gaussian fit finds that the de-lensed integrated line intensity of the CO (1–0) extends with a major axis of 5 ± 2 kpc and a minor axis of 2 ± 1 kpc in projection over the entire system, perpendicularly to the compact radio emission. A Sérsic fit to the molecular gas distribution gives an effective radius of Re = 1.5 ± 0.5 kpc. The intrinsic line luminosity is |$L^\prime _{\rm CO} = (2.5 \pm 0.8) \times 10^{10}$| K km s−1 pc2. Our lensing-corrected moment zero map is dominated by the redshifted component of the molecular gas distribution, and its peak is offset by almost 1 kpc in projection with respect to the radio and the optical emission (see Fig. 13). This can also be seen as a decrease in the surface brightness of the CO (1–0) where the AGN emission and host galaxy are located, which may indicate a decrement in the molecular gas at low excitation in the regions closer to the AGN. This effect has also been seen in other low J-level molecular gas distributions around lensed AGN when observed at sufficiently high angular resolution (e.g. Paraficz et al. 2018). The velocity distribution shows a clear gradient across the major axis, which can be interpreted as multiple velocity source components, or more likely, as a rotating molecular gas disc. The inclination-corrected maximum rotational velocity of the gas, in this latter scenario, is vmax = 355 ± 150 km s−1, which has been estimated by measuring the maximum velocity along the major axis in the reconstructed source. This value is much larger than the typical maximum velocities of low-redshift spiral galaxies (e.g. Frank et al. 2016), but similar to those of gravitationally lensed disc galaxies hosting an AGN (e.g. Venturini & Solomon 2004; Paraficz et al. 2018). However, we highlight that the estimate vmax is likely affected by beam smearing (e.g. Di Teodoro & Fraternali 2015). Nevertheless, the low signal-to-noise ratio of the line emission prevents us to robustly model the source data cube using sophisticated kinematical modelling tools that take into account also the gravitational lensing effect (Rizzo et al. 2018).

Overall, JVAS B1938+666 has a somewhat similar source-plane morphology to MG J0751+2716; there is a compact red galaxy that hosts a dust obscured AGN with small radio jets that can be seen just beyond the stellar component of the galaxy. The molecular gas distribution can be interpreted as a possible disc, but unlike in the case of MG J0751+2716, the extent of the molecular gas is much smaller, more regular, and has a higher surface brightness.

6 RESOLVED MOLECULAR GAS EMISSION AT HIGH REDSHIFT

In this section, we present the results from our analysis of the spatially resolved CO (1–0) observations of MG J0751+2716 and JVAS B1938+666. Our aim is to determine the physical properties of the cold molecular gas within these two star-forming/AGN composite galaxies at z ≃ 2–3.

6.1 CO–H2 conversion factor and molecular gas mass

To determine the molecular gas mass (Mgas) from our observations requires some knowledge of the conversion factor (αCO) between H2 and CO,
(1)
Often, two values for the conversion factor αCO are adopted in literature, according to the galaxy type. For quiescent late-type galaxies, such as our own Milky Way, the most common value is αCO = 4.3 M (K km s−1 pc2)−1 (Bolatto, Wolfire & Leroy 2013), while in the case of high-redshift starburst galaxies, αCO = 0.8 M (K km s−1 pc2)−1 has been usually assumed (Aravena et al. 2016). However, observational and theoretically motivated studies have both shown that using αCO = 0.8 M (K km s−1 pc2)−1 may not be correct for converting the observed line luminosity into the molecular gas mass for high-redshift galaxies (Narayanan et al. 2012a; Hodge et al. 2012). For instance, this value for the CO–H2 conversion factor leads to gas fractions of fgas ∼ 80 per cent, which is much higher compared to what is predicted from simulations (fgas ∼ 30 per cent). Moreover, independent estimates of αCO using different methods find that the CO–H2 conversion factor covers a large range of values at high redshift (e.g. Daddi et al. 2010; Ivison et al. 2011; Hodge et al. 2012), indicating that its value cannot be universally assumed, but must be estimated for each individual case. Alternatively, the conversion factor for lensed galaxies at high-redshift can be estimated by comparing the enclosed dynamical mass and the luminosity-derived molecular gas mass (e.g. Paraficz et al. 2018). However, this approach requires knowledge of the stellar mass and dark matter contributions to the total enclosed mass, which are not well constrained by our current data sets for MG J0751+2716 and JVAS B1938+666.
Narayanan, Bothwell & Davé (2012b) recently demonstrated that αCO requires a complex description and that there is a wide continuum spectrum of values for the CO–H2 conversion factor depending on several physical parameters. They developed a functional form that relates the CO surface brightness and the metallicity of the specific phase of the gas within a galaxy to αCO, such that,
(2)
where 〈WCO〉 is the CO surface brightness for a uniformly distributed molecular gas luminosity (K km s−1), and Z′ is the metallicity of the gas phase (Narayanan et al. 2012b). We approximate 〈WCO〉 as |$L^\prime _{\rm CO}$|/area, where the area is given by the two-dimensional Gaussian fit in the source plane (see Sections 5.2 and 5.3). Since we do not have measurements of the gas-phase metallicity in the cases of MG J0751+2716 and JVAS B1938+666, we assume solar metallicity, which is a typical value for galaxies at z ∼ 2 (e.g. Erb et al. 2006). We note that the CO surface brightness in our two lensed AGN is not homogeneously distributed (see Figs 12 and 13). As a consequence, our values for αCO will be upper limits.

From equation (2), we find individual CO–H2 conversion factors of 1.5 ± 0.5 and 1.4 ± 0.3 M (K km s−1 pc2)−1 for MG J0751+2716 and JVAS B1938+666, respectively. This results in molecular gas masses of Mgas = (2.5 ± 0.8) × 1011 M and Mgas = (3.4 ± 0.8) × 1010 M for MG J0751+2716 and JVAS B1938+666, respectively. These masses are larger than those of local ultra-luminous infrared galaxies (ULIRGs; Papadopoulos et al. 2012), but consistent with distant ULIRGs and AGN-host galaxies, which are suggested to trace the most massive galaxies at high redshifts (Chapman et al. 2009; Daddi et al. 2010; Braun et al. 2011; Casey et al. 2011; Aravena et al. 2013; Tacconi et al. 2013; Ivison et al. 2013; Sharon et al. 2016; Noble et al. 2019).

6.2 Dynamical masses

From our resolved CO (1–0) velocity maps of MG J0751+2716 and JVAS B1938+666, we can estimate the enclosed dynamical mass within the effective radius Re, under the assumption that these velocity fields are consistent with a rotating disc and that the systems are virialized. As discussed above, in the case of JVAS B1938+666, the velocity field is well-ordered and shows convincing evidence for rotation; the systemic velocity of the molecular gas is centred on the host galaxy, and the redshifted and blueshifted components form an elongated and symmetric structure. There is also no evidence of companion galaxies associated with the AGN host galaxy. The case of MG J0751+2716 is less clear, as the molecular gas has a more complex morphology, is much more extended and there is evidence of multiple optical components within the system.

We estimate the enclosed dynamical mass (in M) as
(3)
where Re is the effective radius of the molecular gas disc as measured by the Sérsic fit (see Sections 5.2 and 5.3), i is the inclination angle, and ve is the velocity at Re of the CO (1–0) line. To have an approximate estimate of the inclination angle, we use the ratio between the observed minor and major axis of the gas emission, as determined above. We find that the dynamical mass in MG J0751+2716 is Mdyn(< Re) =(4.2 ± 1.6) × 1011 M, where the effective radius is Re = 17 ± 5 kpc, the inclination angle is i = 72 ± 20 deg and ve = 200 ± 50 km s−1. For JVAS B1938+666 the mass is estimated to be Mdyn(< Re) =(5.8 ± 0.5) × 1010 M, where Re = 1.5 ± 0.5 kpc, ve = 350 ± 70 km s−1, and the inclination angle is i = 67 ± 15 deg.

These values are larger than the molecular gas mass estimates using the CO luminosity, which is as expected. Nevertheless, they are comparable to the dynamical masses of starburst galaxies at similar redshifts (e.g. Hodge et al. 2012). However, since there is morphological evidence that at least one of our lensed AGN is maybe going through a merger phase, our dynamical mass estimate is only indicative.

6.3 Gas fractions within dust obscured AGN

With our estimate of the molecular gas and dynamical masses, we can now calculate the gas fraction within the two lensed AGN. This typically also requires knowledge of the stellar mass component, which cannot be robustly estimated for our two de-lensed targets. However, if we assume that their ISM is molecular dominated, we can approximate the gas fraction to,
(4)
We find gas fractions of fgas = 0.61 ± 0.20 and fgas = 0.58 ± 0.15 for JVAS B1938+666 and MG J0751+2716, respectively. Our findings of large gas fractions in these two galaxies at z > 2 can be taken as an evidence for the importance of gas-rich mergers at high redshift. In fact, our fgas are in agreement with the theoretical expectation that high redshift star-forming galaxies should be more gas-rich than those galaxies at redshift z = 0 (see Fig. 14; Daddi et al. 2010; Tacconi et al. 2010; Lagos et al. 2011; Narayanan et al. 2012b; Bothwell et al. 2013; Aravena et al. 2016, 2019). This is because, according to the current galaxy evolution scenario, at those epochs the galaxy formation is dominated by gas-rich mergers, leading to dust and gas masses much larger than those of local galaxies (Hopkins et al. 2009b). Moreover, for our two lensed AGN, we find that the gas fractions are consistent within the uncertainties with those of dusty star-forming galaxies (DSFGs) at similar epochs, which coupled with their FIR dust properties (Stacey et al. 2018), would again add to the evidence that these objects are dust obscured AGN–starburst composites.
Comparison between the gas fraction in MG J0751+2716 and JVAS B1938+666 (red and blue filled circles) with different galaxy populations as a function of redshift. The gas fraction is estimated as fgas = Mgas/Mdyn. The literature values are from Tacconi et al. (2013) (Plateau de Bure HIgh-z Blue Sequence Survey, PHIBBS galaxies), Downes & Solomon (1998) (low-z ULIRGs), Harris et al. (2012) (gravitationally lensed DSFG), and Bothwell et al. (2013) (unlensed DSFG). The dashed line represents the best fit, while the shaded yellow area is the formal uncertainty on the fit, which is consistent with an increasing fgas until redshift z = 2 and constant fgas after z = 2.
Figure 14.

Comparison between the gas fraction in MG J0751+2716 and JVAS B1938+666 (red and blue filled circles) with different galaxy populations as a function of redshift. The gas fraction is estimated as fgas = Mgas/Mdyn. The literature values are from Tacconi et al. (2013) (Plateau de Bure HIgh-z Blue Sequence Survey, PHIBBS galaxies), Downes & Solomon (1998) (low-z ULIRGs), Harris et al. (2012) (gravitationally lensed DSFG), and Bothwell et al. (2013) (unlensed DSFG). The dashed line represents the best fit, while the shaded yellow area is the formal uncertainty on the fit, which is consistent with an increasing fgas until redshift z = 2 and constant fgas after z = 2.

7 DISCUSSION

We now discuss our results for the two radio-loud lensed AGN that were observed at high angular resolution as part of our multiwavelength campaign. These targets were chosen because of their extended radio jets, large CO (1–0) luminosities and large lensing magnifications, and therefore should provide excellent sites to investigate the effect of mechanical feedback at high redshift. In the previous sections, we determined the intrinsic properties of the various components (stars, radio jets, and molecular gas) after correcting for the gravitational lensing magnifications, which we now compare with other high redshift galaxies. We first discuss the properties of the molecular gas distributions, and then present an analysis of the optical properties, with a view of better understanding the effect AGN activity has on the star formation and build-up of the stellar population within AGN host galaxies.

7.1 Evidence for extended molecular gas reservoirs

The standard model of galaxy formation predicts that the bulk of the cosmic stellar mass assembly occurred at early epochs (z > 2), and on fast time--scales through a process of dusty, gas-rich mergers (Sanders et al. 1988; Hopkins et al. 2009b). In this scenario, hydrodynamical simulations have shown that starburst galaxies with SFRs of >200 M yr−1 grow in stellar mass by 1.5 dex between redshifts 3 and 1 (Vogelsberger et al. 2014). Such extreme bursts of star formation are thought to be triggered through gas-rich mergers, which given the substantial obscuration due to dust, are typically studied at rest-frame FIR wavelengths due to the re-emission of the UV radiation from new stars (Hodge et al. 2012). As these galaxies continue to grow via mergers, a dust-obscured quasar phase is expected as the supermassive black hole builds-up via gas accretion. At this point, radiative feedback from the intense UV radiation field from the quasar should heat the gas and dust, possibly limiting star formation in the vicinity of the AGN, and perhaps further throughout the galaxy (up to kpc scales), until the quasar is no longer obscured. During this, and possibly later active phases for the super massive black hole, it is expected that radio jets inject mechanical feedback into the system, clearing the galaxy of a significant fraction of the dust and gas to the point that star formation is halted. Without significant gas accretion, the stellar population of the galaxy will continue to evolve to present day until a passive galaxy is formed (Sanders et al. 1988).

Our multiwavelength data set for MG J0751+2716 and JVAS B1938+666 is somewhat consistent with this picture. These two objects are known to harbour an active central engine, given the powerful radio jets that originate from the host galaxy. Since there is no evidence of quasar-like morphology from optical imaging, either the black hole is heavily obscured by dust or the significant reddening is due to active star formation in the two obscured AGN. These conclusions are consistent with the red rest-frame optical colours of the host galaxies and the extreme levels of heated dust found by Stacey et al. (2018). Therefore, these AGNs are likely moving through an obscured quasar phase. Based on the large IR luminosities, and assuming that this heating is due predominantly to star formation, Stacey et al. (2018) found that both MG J0751+2716 and JVAS B1938+666 are undergoing a highly active star-forming phase, with SFRs of about 510 and 390 M yr−1, respectively (assuming a magnification for the FIR emission of 10 for JVAS B1938+666; see Stacey et al. 2018 for discussion, and 16 for MG J0751+2716; Alloin et al. 2007). Therefore, our results are in favour for the presence of a coeval starburst with the central black hole growth (e.g. Walter et al. 2004).

In order to understand the physical conditions of the star formation in starburst-quasar composites and the role of the AGN, spatially resolved observations of the material that fuels the star formation and AGN activity, namely the molecular gas, are needed. In only a few cases has the emission from the low J-level CO (2–1) molecular gas reservoirs of high-redshift galaxies hosting an AGN been spatially resolved, and it was found to be distributed in rotating discs on scales of about 5 kpc in PSS J2322+1944 (Riechers et al. 2008) and 15 kpc in RX J1131–1231 (Paraficz et al. 2018). For larger samples, where the CO (1–0) is not resolved, the sizes of the molecular gas reservoirs have been found to be <25 kpc (Riechers et al. 2011; Sharon et al. 2016). On the other hand, in other starburst high-z galaxies hosting AGN, the molecular gas as traced by low and mid J-level CO lines revealed compact reservoirs (kpc and sub-kpc scales) whose disturbed distribution and velocity fields suggested that the star formation could be triggered by gas-mergers or interactions (Carilli et al. 2002; Walter et al. 2003; Carilli et al. 2007; Engel et al. 2010; Ivison et al. 2012).

Our VLA observations, combined with the (modest) magnification from the gravitational lensing, are able to resolve the cold molecular gas traced by CO (1–0) in the case of JVAS B1938+666. We find that both lensed AGN have extended CO (1–0) emission with sizes ≥5 kpc. Moreover, both molecular gas reservoirs are quite massive, with CO (1–0) derived masses of Mgas ≥ 1010 M. These properties of the cold molecular gas, combined with the multi-wavelength morphology, suggest that both of the high redshift AGN are undergoing a phase of gas accretion, possibly due to an ongoing or recently completed major merger. The sizes of the molecular gas distribution are also comparable (in the case of JVAS B1938+666) or slightly larger (MG J0751+2716) than those of the few well-studied unobscured high-redshift quasars, in which it seems that the molecular gas is compact and at a higher excitation state (Riechers et al. 2006b; Weiß et al. 2007). Furthermore, the gas distributions match the sizes of dust-obscured star-forming galaxies at high redshift, as for example, the bright dusty star-forming galaxy GN20 at z = 4.05 (Hodge et al. 2012). Moreover, there is evidence of both lensed AGN having a deficiency of molecular gas emission in the proximity of the radio emission, and that the peak in the gas distribution is offset from the AGN and the host galaxy emission. This could imply that there is on-going star formation in those regions where the CO (1–0) has the maximum surface brightness, given the relation between the gas surface density and the SFR intensity, which would mean that the new stars are being formed in the disc and not in the central compact component detected at NIR wavelengths. We believe that our NIR and optical source reconstruction provides a good representation of the AGN host galaxy, since the radio emission in the case of MG J0751+2716 detects the possible radio core, and hence the black hole at the centre, and for JVAS B1938+666 we observe the two hotspots, whose mid-point is in the centre of the host galaxy. Furthermore, in both systems, the host galaxy has a fairly smooth surface brightness distribution. Finally, in the case of JVAS B1938+666, the systemic velocity features are coincident with the centre of the host galaxy.

It has also been suggested that star formation has two distinct modes for disc and starburst galaxies, where spiral galaxies might have a long-lasting star formation while major mergers may be responsible for the rapid star formation process in ULIRGs (see Section 6.1). In Fig. 15, we show a variant of the Kennicutt–Schmidt relation (LIR|$L^{\prime }_{\rm CO}$|⁠), which has the advantage of relying only on the observed quantities. We compare our two targets with dusty star-forming galaxies, main sequence galaxies, and those hosting an AGN (unobscured quasars). We find that JVAS B1938+666 and MG J0751+2716 have |$L^{\prime }_{\rm CO}$| luminosities at the extreme end of the distribution that are higher than the main-sequence galaxies, and that they are consistent with unobscured quasars and dusty star-forming galaxies at similar redshifts; however, this part of the parameter space has quite a large scatter and only a few measurements for each galaxy population. We also find that both lensed AGNs have a lower IR luminosity with respect to the high-redshift galaxy population; that is, they are forming fewer stars than expected given their abundance of molecular gas. Their position on the LIR|$L^{\prime }_{\rm CO}$| plane may, therefore, imply that JVAS B1938+666 and MG J0751+2716 are less efficient at forming stars with respect to the population of unobscured quasars and dusty star-forming galaxies at comparable redshifts. This may be due to AGN feedback (as was also suggested for RX J1131 − 1231; Paraficz et al. 2018), or it could be due to the gas being replenished within the host galaxies, for example, via inflows or gas-rich mergers, with the large-scale star formation still to occur (e.g. Tacchella et al. 2016).

LIR (integrated from 8 to 1000 μm) versus $L^\prime _{\rm CO}$ for different unlensed galaxy populations that have been detected in CO (1–0) and CO (2–1) line emission. The red and the blue filled circles are MG J0751+2716 and JVAS B1938+666, respectively. The green filled circle indicates the lensed disc-galaxy RX J1131–1231 (Paraficz et al. 2018). The dashed line indicates the Kennicutt–Schmidt relation for local spiral galaxies, while the solid line represents the same relation for high-redshift disc galaxies (Gao & Solomon 2004; Aravena et al. 2016).
Figure 15.

LIR (integrated from 8 to 1000 μm) versus |$L^\prime _{\rm CO}$| for different unlensed galaxy populations that have been detected in CO (1–0) and CO (2–1) line emission. The red and the blue filled circles are MG J0751+2716 and JVAS B1938+666, respectively. The green filled circle indicates the lensed disc-galaxy RX J1131–1231 (Paraficz et al. 2018). The dashed line indicates the Kennicutt–Schmidt relation for local spiral galaxies, while the solid line represents the same relation for high-redshift disc galaxies (Gao & Solomon 2004; Aravena et al. 2016).

It is also possible that the sample of high-redshift unobscured quasars have a significant contribution to the IR luminosity from AGN heating. Only high angular resolution imaging of the FIR dust emission will determine the location of the on-going star formation and any contribution from the AGN for our targets and the other objects shown in Fig. 15. These observations will also determine robust magnifications for the dust emission for MG J0751+2716 and JVAS B1938+666. However, in the few cases imaged at mm-wavelengths so far, the heated dust emission is typically on the scale of 1–2 kpc, that is, a similar size to the stellar emission detected from the host galaxies investigated here. Nevertheless, the dust emission in MG J0751+2716 and JVAS B1938+666 might be as extended as the CO (1–0) emission. If this is the case, our assumed FIR magnification factor would be consistent with μCO for JVAS B1938+666, while it would be eight times higher than μCO for MG J0751+2716. This would lead to a much higher SFR derived by the FIR observations for MG J0751+2716. However, only FIR observations at high angular resolution can resolve the lensed images of the two systems, allowing us to properly take into account the differential magnification effect, which is particularly important in the infrared regime (Serjeant 2012), and put more stringent constraints on the FIR emission in these two high redshift sources.

7.2 Compact stellar cores at high redshift

A consequence of the hierarchical galaxy formation process described above is that the inner part (∼1 kpc) of merger remnants should be dominated by a starburst component, which forms a central stellar cusp that is often interpreted as a precursor of the bulges/pseudo-bulges observed in the local Universe (Kormendy & Sanders 1992; Hopkins et al. 2009a, 2013). Also, gas-rich mergers with gas fractions larger than 30 per cent are necessary to produce such stellar density cores (Robertson et al. 2006). In addition, theoretical models predict that the majority of the classical bulges formed via gas-rich mergers should be already in place at redshifts 1 to 2 (Conselice 2007). A way to test this formation scenario consists of identifying such compact stellar cores in gas-rich environments, which is challenging at high redshift. This difficulty is mainly due to the intrinsically low surface brightness of the cold molecular gas emission, coupled with the resolution needed to determine the structure of the rest-frame UV/optical emission from galaxies at z > 2.

The reconstructed host galaxies of the two lensed AGN studied here show evidence for compact rest-frame optical emission on scales of a few hundred pc (see Figs 12 and 13) and indicative high gas-fractions larger than 50 per cent (see Fig. 14). In the case of MG J0751+2716, the Sérsic index of the reddest component, which hosts the AGN, is close to a De Vaucouleurs profile, which may indicate that it already consists of a bulge, while the optical component of JVAS B1938+666 has a Sérsic index of 1.5 ± 0.2, which is more indicative of a pseudo-bulge/disc structure. According to this interpretation, these systems could represent two of the few high-redshift galaxies with possible resolved bulges and proto-disc structures (e.g. Labbé et al. 2003), implying that at redshifts around 2 to 3, galactic bulges might be already formed. The presence of extended molecular gas reservoirs (discussed above) favours the inside–out formation for galactic bulges, namely that the bulge should form before the molecular gas disc (Conselice 2007; Oldham et al. 2017; Tacchella et al. 2018). However, in order to fully trace the ongoing star formation in MG J0751+2716 and JVAS B1938+666, it is fundamental to spatially resolve the heated dust for these two objects.

8 CONCLUSIONS

In this paper, we presented high angular resolution observations with the VLA of the CO (1–0) molecular gas emission from the two gravitationally lensed star-forming/AGN composite galaxies MG J0751+2716 and JVAS B1938+666 at redshift 3.200 and 2.059, respectively. The detection from JVAS B1938+666, with a beam size of 0.25 × 0.20 arcsec2 is currently the highest angular resolution detection of CO (1–0) from a high redshift object. We complement these data with radio continuum VLA, optical and NIR HST and NIR Keck-II adaptive optics observations, which are necessary to investigate the source properties, after correcting for the distortion due to gravitational lensing.

From our multiwavelength analysis, we find that both MG J0751+2716 and JVAS B1938+666 are heavily dust-obscured radio-loud AGN, with evidence of extreme star formation at the level of 510 and 390 M yr−1. The molecular gas as traced by the CO (1–0) emission has an elongated morphology with a size of 5 ± 2 kpc and 20 ± 3 kpc in JVAS B1938+666 and MG J0751+2716, respectively. The intrinsic velocity fields show distinct structures that can be associated with discs (elongated velocity gradients) and possible interacting objects (off-axis velocity components). We find intrinsic CO (1–0) luminosities of |$L^{\prime }_{\rm CO} = (2.5 \pm 0.8) \times 10^{10}$| K km s−1 pc2 and |$L^{\prime }_{\rm CO} = (1.6\pm 0.6) \times 10^{11}$| K km s−1 pc2 for JVAS B1938+666 and MG J0751+2716, respectively. These values are consistent with what has been observed in other star-forming dust-obscured active galaxies at similar redshifts, as for example, from the gravitationally lensed radio-quiet quasar APM 08279+5255 and the starburst galaxy GN20 (Riechers et al. 2008; Hodge et al. 2012).

We estimate individual CO–H2 conversion factors of αCO = 1.5 ± 0.5 (K km s−1 pc2)−1 and αCO = 1.4 ± 0.3 (K km s−1 pc2)−1, yielding molecular gas masses of Mgas = (2.5 ± 0.8) × 1011 M and Mgas = (3.4 ± 0.8) × 1010 M for MG J0751+2716 and JVAS B1938+666, respectively. Moreover, from our estimate of the dynamical masses, we infer gas fractions of about 60 per cent, which confirm the presence of a significant molecular gas reservoir.

Both of these two radio-selected objects show a compact central stellar component and small AGN radio jets on ∼2 kpc scales that are embedded in the extended molecular gas reservoirs discussed above. There is evidence for a decrease in the surface brightness of the CO (1–0) emission in the region close to the AGN emission in both objects, and particularly in the case of JVAS B1938+666, which indicates that the molecular gas at low excitation is not as abundant in those regions closer to the AGN. This could be taken as evidence for radiative feedback from the AGN, but only high angular resolution observations and the radiative transfer modelling of a set of high J-level CO transitions can test this hypothesis. Also, MG J0751+2716 and JVAS B1938+666 seem to lie at low IR luminosities in the Kennicutt–Schmidt relation, implying that they are forming stars at a lower level than expected given their abundant gas reservoirs. The reason for this is not clear, but may indicate the presence of AGN feedback that impedes the gas to form stars efficiently at the centre of the host galaxies. The compact stellar core of both AGN host galaxies, emitting at UV/optical rest-frame wavelengths, may be precursors of the central optical bulges/pseudo-bulges observed at present day.

The growth of galaxies is thought to be dominated by gas accretion processes. However, the cold molecular gas is still observationally difficult to access at high redshift. To date, the majority of the cold molecular gas detections are spatially unresolved or only marginally resolved at redshifts >2. Often high J-level transitions of CO are used to study the molecular gas content at high-redshift galaxies, since they are brighter than the CO (1–0) emission, but they only probe the molecular gas at higher excitation and may not be representative of the total molecular gas content of these galaxies, which may lead to an underestimate of the dynamical masses, gas fractions, and star formation properties. However, ALMA currently does not reach the crucial low J-level transitions of CO for galaxies when the star formation and AGN activity peaked, limiting the study of the cold molecular gas at high redshift to a handful of bright objects. Moreover, spatially resolved observations of the cold molecular gas traced by the CO (1–0) emission on <500 pc-scales at redshifts >2 require a significant amount of observing time. Therefore, currently they can mainly be achieved by combining high sensitivity spectral line imaging and the magnifying power of gravitational lensing. Further observations, at similar angular resolutions to those presented here, for the sample of gravitationally lensed quasars with CO (1–0) detections, will establish whether the molecular gas associated with their host galaxies is extended, disc-like and abundant.

ACKNOWLEDGEMENTS

We thank the anonymous referee for their useful and constructive comments on the paper. CS is grateful for support from the National Research Council of Science and Technology, Korea (EU-16-001). CS and JPM acknowledge support from the Netherlands Organization for Scientific Research (NWO, project number 629.001.023) and the Chinese Academy of Sciences (CAS, project number 114A11KYSB20170054). SV has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 758853). MWA acknowledges support from the Kavli Foundation. LVEK is supported through an NWO-VICI grant (project number 639.043.308). CDF acknowledges support for this work from the National Science Foundation under grant no. AST-1715611. DJL acknowledges support from the European Research Council (ERC) starting grant no. 336736-CALENDS. The data presented herein were obtained at the W. M. Keck Observatory, which is operated as a scientific partnership among the California Institute of Technology, the University of California and the National Aeronautics and Space Administration. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Maunakea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc. Based on observations made with the NASA/ESA Hubble Space Telescope, obtained from the Data Archive at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555. These observations are associated with programmes 7255, 7495, and 8268.

Footnotes

1

We follow the methodology outlined at https://casa.nrao.edu/docs/casaref/image.moments.html.

REFERENCES

Alloin
D.
,
Kneib
J.-P.
,
Guilloteau
S.
,
Bremer
M.
,
2007
,
A&A
,
470
,
53

Aravena
M.
et al. .,
2013
,
MNRAS
,
433
,
498

Aravena
M.
et al. .,
2016
,
MNRAS
,
457
,
4406

Aravena
M.
et al. .,
2019
,
ApJ
,
882
,
136

Auger
M. W.
,
Treu
T.
,
Bolton
A. S.
,
Gavazzi
R.
,
Koopmans
L. V. E.
,
Marshall
P. J.
,
Bundy
K.
,
Moustakas
L. A.
,
2009
,
ApJ
,
705
,
1099

Auger
M. W.
,
Treu
T.
,
Brewer
B. J.
,
Marshall
P. J.
,
2011
,
MNRAS
,
411
,
L6

Banik
I.
,
Zhao
H.
,
2015
,
MNRAS
,
450
,
3155

Barvainis
R.
,
Alloin
D.
,
Bremer
M.
,
2002
,
A&A
,
385
,
399

Bolatto
A. D.
,
Wolfire
M.
,
Leroy
A. K.
,
2013
,
ARA&A
,
51
,
207

Bothwell
M. S.
et al. .,
2013
,
MNRAS
,
429
,
3047

Braun
R.
,
Popping
A.
,
Brooks
K.
,
Combes
F.
,
2011
,
MNRAS
,
416
,
2600

Briggs
D. S.
,
1995
, in
American Astronomical Society Meeting Abstracts
. p.
1444

Browne
I. W. A.
,
Wilkinson
P. N.
,
Patnaik
A. R.
,
Wrobel
J. M.
,
1998
,
MNRAS
,
293
,
257

Browne
I. W. A.
et al. .,
2003
,
MNRAS
,
341
,
13

Carilli
C. L.
,
Walter
F.
,
2013
,
ARA&A
,
51
,
105

Carilli
C. L.
et al. .,
2002
,
AJ
,
123
,
1838

Carilli
C. L.
et al. .,
2005
,
ApJ
,
618
,
586

Carilli
C. L.
et al. .,
2007
,
ApJ
,
666
,
L9

Casey
C. M.
et al. .,
2011
,
MNRAS
,
415
,
2723

Chapman
S. C.
,
Blain
A.
,
Ibata
R.
,
Ivison
R. J.
,
Smail
I.
,
Morrison
G.
,
2009
,
ApJ
,
691
,
560

Chen
G. C. F.
et al. .,
2019
,
MNRAS
,
490
,
1743

Chen
G. C.-F.
et al. .,
2016
,
MNRAS
,
462
,
3457

Ciesla
L.
et al. .,
2015
,
A&A
,
576
,
A10

Conselice
C. J.
,
2007
, in
Combes
F.
,
Palouš
J.
, eds,
IAU Symp. Vol. 235, Galaxy Evolution across the Hubble Time
. p.
381

Croton
D. J.
et al. .,
2006
,
MNRAS
,
365
,
11

Daddi
E.
et al. .,
2010
,
ApJ
,
714
,
L118

Danielson
A. L. R.
et al. .,
2011
,
MNRAS
,
410
,
1687

Deane
R. P.
,
Heywood
I.
,
Rawlings
S.
,
Marshall
P. J.
,
2013
,
MNRAS
,
434
,
23

Decarli
R.
et al. .,
2019
,
ApJ
,
882
,
138

Di Teodoro
E. M.
,
Fraternali
F.
,
2015
,
MNRAS
,
451
,
3021

Downes
D.
,
Solomon
P. M.
,
1998
,
ApJ
,
507
,
615

Drouart
G.
,
Rocca-Volmerange
B.
,
De Breuck
C.
,
Fioc
M.
,
Lehnert
M.
,
Seymour
N.
,
Stern
D.
,
Vernet
J.
,
2016
,
A&A
,
593
,
A109

Emonts
B. H. C.
et al. .,
2014
,
MNRAS
,
438
,
2898

Engel
H.
et al. .,
2010
,
ApJ
,
724
,
233

Erb
D. K.
,
Shapley
A. E.
,
Pettini
M.
,
Steidel
C. C.
,
Reddy
N. A.
,
Adelberger
K. L.
,
2006
,
ApJ
,
644
,
813

Fabian
A. C.
,
2012
,
ARA&A
,
50
,
455

Feroz
F.
,
Hobson
M. P.
,
Bridges
M.
,
2009
,
MNRAS
,
398
,
1601

Feruglio
C.
et al. .,
2015
,
A&A
,
583
,
A99

Frank
B. S.
,
de Blok
W. J. G.
,
Walter
F.
,
Leroy
A.
,
Carignan
C.
,
2016
,
AJ
,
151
,
94

Gao
Y.
,
Solomon
P. M.
,
2004
,
ApJ
,
606
,
271

Genzel
R.
,
Tacconi
L. J.
,
Rigopoulou
D.
,
Lutz
D.
,
Tecza
M.
,
2001
,
ApJ
,
563
,
527

Genzel
R.
et al. .,
2006
,
Nature
,
442
,
786

Governato
F.
,
Willman
B.
,
Mayer
L.
,
Brooks
A.
,
Stinson
G.
,
Valenzuela
O.
,
Wadsley
J.
,
Quinn
T.
,
2007
,
MNRAS
,
374
,
1479

Governato
F.
et al. .,
2009
,
MNRAS
,
398
,
312

Harris
A. I.
et al. .,
2012
,
ApJ
,
752
,
152

Hayes
M.
,
Scarlata
C.
,
Siana
B.
,
2011
,
Nature
,
476
,
304

Hayward
C. C.
,
Smith
D. J. B.
,
2015
,
MNRAS
,
446
,
1512

Hodge
J. A.
,
Carilli
C. L.
,
Walter
F.
,
de Blok
W. J. G.
,
Riechers
D.
,
Daddi
E.
,
Lentati
L.
,
2012
,
ApJ
,
760
,
11

Hopkins
P. F.
,
Hernquist
L.
,
Cox
T. J.
,
Robertson
B.
,
Springel
V.
,
2006
,
ApJS
,
163
,
50

Hopkins
P. F.
,
Hernquist
L.
,
Cox
T. J.
,
Kereš
D.
,
2008
,
ApJS
,
175
,
356

Hopkins
P. F.
et al. .,
2009a
,
MNRAS
,
397
,
802

Hopkins
P. F.
,
Cox
T. J.
,
Younger
J. D.
,
Hernquist
L.
,
2009b
,
ApJ
,
691
,
1168

Hopkins
P. F.
,
Cox
T. J.
,
Hernquist
L.
,
Narayanan
D.
,
Hayward
C. C.
,
Murray
N.
,
2013
,
MNRAS
,
430
,
1901

Hsueh
J. W.
,
Enzi
W.
,
Vegetti
S.
,
Auger
M. W.
,
Fassnacht
C. D.
,
Despali
G.
,
Koopmans
L. V. E.
,
McKean
J. P.
,
2020
,
MNRAS
,
492
,
3047

Hsueh
J.-W.
,
Fassnacht
C. D.
,
Vegetti
S.
,
McKean
J. P.
,
Spingola
C.
,
Auger
M. W.
,
Koopmans
L. V. E.
,
Lagattuta
D. J.
,
2016
,
MNRAS
,
463
,
L51

Hsueh
J.-W.
et al. .,
2017
,
MNRAS
,
469
,
3713

Ishibashi
W.
,
Fabian
A. C.
,
2012
,
MNRAS
,
427
,
2998

Ivison
R. J.
,
Papadopoulos
P. P.
,
Smail
I.
,
Greve
T. R.
,
Thomson
A. P.
,
Xilouris
E. M.
,
Chapman
S. C.
,
2011
,
MNRAS
,
412
,
1913

Ivison
R. J.
et al. .,
2012
,
MNRAS
,
425
,
1320

Ivison
R. J.
et al. .,
2013
,
ApJ
,
772
,
137

Jones
T. A.
,
Swinbank
A. M.
,
Ellis
R. S.
,
Richard
J.
,
Stark
D. P.
,
2010
,
MNRAS
,
404
,
1247

Kennicutt
Jr. R. C.
,
Roettiger
K. A.
,
Keel
W. C.
,
van der Hulst
J. M.
,
Hummel
E.
,
1987
,
AJ
,
93
,
1011

King
L. J.
,
Browne
I. W. A.
,
Muxlow
T. W. B.
,
Narasimha
D.
,
Patnaik
A. R.
,
Porcas
R. W.
,
Wilkinson
P. N.
,
1997
,
MNRAS
,
289
,
450

King
L. J.
et al. .,
1998
,
MNRAS
,
295
,
L41

Kormendy
J.
,
Sanders
D. B.
,
1992
,
ApJ
,
390
,
L53

Labbé
I.
et al. .,
2003
,
ApJ
,
591
,
L95

Lagattuta
D. J.
,
Auger
M. W.
,
Fassnacht
C. D.
,
2010
,
ApJ
,
716
,
L185

Lagattuta
D. J.
,
Vegetti
S.
,
Fassnacht
C. D.
,
Auger
M. W.
,
Koopmans
L. V. E.
,
McKean
J. P.
,
2012
,
MNRAS
,
424
,
2800

Lagos
C. D. P.
,
Baugh
C. M.
,
Lacey
C. G.
,
Benson
A. J.
,
Kim
H.-S.
,
Power
C.
,
2011
,
MNRAS
,
418
,
1649

Lehar
J.
et al. .,
1997
,
AJ
,
114
,
48

Leung
G. C. K.
et al. .,
2017
,
ApJ
,
849
,
48

Madau
P.
,
Dickinson
M.
,
2014
,
ARA&A
,
52
,
415

Maiolino
R.
et al. .,
2017
,
Nature
,
544
,
202

McKean
J. P.
et al. .,
2007
,
MNRAS
,
378
,
109

McMullin
J. P.
et al. .,
2007
,
ASP Conf. Ser.
,
376
,
127

Myers
S. T.
et al. .,
2003
,
MNRAS
,
341
,
1

Narayanan
D.
,
Krumholz
M. R.
,
Ostriker
E. C.
,
Hernquist
L.
,
2012a
,
MNRAS
,
421
,
3127

Narayanan
D.
,
Bothwell
M.
,
Davé
R.
,
2012b
,
MNRAS
,
426
,
1178

Nesvadba
N. P. H.
,
De Breuck
C.
,
Lehnert
M. D.
,
Best
P. N.
,
Collet
C.
,
2017
,
A&A
,
599
,
A123

Noble
A. G.
et al. .,
2019
,
ApJ
,
870
,
56

North
P. L.
et al. .,
2017
,
A&A
,
604
,
A23

Oldham
L.
et al. .,
2017
,
MNRAS
,
465
,
3185

Papadopoulos
P. P.
,
van der Werf
P. P.
,
Xilouris
E. M.
,
Isaak
K. G.
,
Gao
Y.
,
Mühle
S.
,
2012
,
MNRAS
,
426
,
2601

Paraficz
D.
et al. .,
2018
,
A&A
,
613
,
A34

Patnaik
A. R.
,
Browne
I. W. A.
,
Wilkinson
P. N.
,
Wrobel
J. M.
,
1992
,
MNRAS
,
254
,
655

Peng
C. Y.
,
Ho
L. C.
,
Impey
C. D.
,
Rix
H.-W.
,
2010
,
AJ
,
139
,
2097

Perley
R. A.
,
Butler
B. J.
,
2013
,
ApJS
,
204
,
19

Planck Collaboration XIII
,
2016
,
A&A
,
594
,
A13

Podigachoski
P.
,
Rocca-Volmerange
B.
,
Barthel
P.
,
Drouart
G.
,
Fioc
M.
,
2016
,
MNRAS
,
462
,
4183

Popović
L. Č.
,
Chartas
G.
,
2005
,
MNRAS
,
357
,
135

Rhoads
J. E.
,
Malhotra
S.
,
Kundic
T.
,
1996
,
AJ
,
111
,
642

Riechers
D. A.
,
2011
,
ApJ
,
730
,
108

Riechers
D. A.
,
Weiss
A.
,
Walter
F.
,
Carilli
C. L.
,
Knudsen
K. K.
,
2006a
,
ApJ
,
649
,
635

Riechers
D. A.
et al. .,
2006b
,
ApJ
,
650
,
604

Riechers
D. A.
,
Walter
F.
,
Brewer
B. J.
,
Carilli
C. L.
,
Lewis
G. F.
,
Bertoldi
F.
,
Cox
P.
,
2008
,
ApJ
,
686
,
851

Riechers
D. A.
,
Walter
F.
,
Carilli
C. L.
,
Lewis
G. F.
,
2009
,
ApJ
,
690
,
463

Riechers
D. A.
et al. .,
2011
,
ApJ
,
739
,
L32

Riechers
D. A.
et al. .,
2019
,
ApJ
,
872
,
7

Ritondale
E.
,
Auger
M. W.
,
Vegetti
S.
,
McKean
J. P.
,
2019
,
MNRAS
,
482
,
4744

Rizzo
F.
,
Vegetti
S.
,
Fraternali
F.
,
Di Teodoro
E.
,
2018
,
MNRAS
,
481
,
5606

Robertson
B.
,
Bullock
J. S.
,
Cox
T. J.
,
Di Matteo
T.
,
Hernquist
L.
,
Springel
V.
,
Yoshida
N.
,
2006
,
ApJ
,
645
,
986

Rybak
M.
,
McKean
J. P.
,
Vegetti
S.
,
Andreani
P.
,
White
S. D. M.
,
2015a
,
MNRAS
,
451
,
L40

Rybak
M.
,
Vegetti
S.
,
McKean
J. P.
,
Andreani
P.
,
White
S. D. M.
,
2015b
,
MNRAS
,
453
,
L26

Sanders
D. B.
,
Soifer
B. T.
,
Elias
J. H.
,
Madore
B. F.
,
Matthews
K.
,
Neugebauer
G.
,
Scoville
N. Z.
,
1988
,
ApJ
,
325
,
74

Serjeant
S.
,
2012
,
MNRAS
,
424
,
2429

Sharon
C. E.
,
Riechers
D. A.
,
Hodge
J.
,
Carilli
C. L.
,
Walter
F.
,
Weiß
A.
,
Knudsen
K. K.
,
Wagg
J.
,
2016
,
ApJ
,
827
,
18

Smit
R.
et al. .,
2018
,
Nature
,
553
,
178

Solomon
P. M.
,
Vanden Bout
P. A.
,
2005
,
ARA&A
,
43
,
677

Spingola
C.
,
McKean
J. P.
,
Auger
M. W.
,
Fassnacht
C. D.
,
Koopmans
L. V. E.
,
Lagattuta
D. J.
,
Vegetti
S.
,
2018
,
MNRAS
,
478
,
4816

Stacey
H. R.
,
McKean
J. P.
,
2018
,
MNRAS
,
481
,
L40

Stacey
H. R.
et al. .,
2018
,
MNRAS
,
476
,
5075

Swinbank
A. M.
et al. .,
2011
,
ApJ
,
742
,
11

Tacchella
S.
,
Dekel
A.
,
Carollo
C. M.
,
Ceverino
D.
,
DeGraf
C.
,
Lapiner
S.
,
Mandelker
N.
,
Primack Joel
R.
,
2016
,
MNRAS
,
457
,
2790

Tacchella
S.
et al. .,
2018
,
ApJ
,
859
,
56

Tacconi
L. J.
et al. .,
2008
,
ApJ
,
680
,
246

Tacconi
L. J.
et al. .,
2010
,
Nature
,
463
,
781

Tacconi
L. J.
et al. .,
2013
,
ApJ
,
768
,
74

Tonry
J. L.
,
Kochanek
C. S.
,
1999
,
AJ
,
117
,
2034

Tonry
J. L.
,
Kochanek
C. S.
,
2000
,
AJ
,
119
,
1078

Toomre
A.
,
Toomre
J.
,
1972
,
ApJ
,
178
,
623

van Dokkum
P. G.
et al. .,
2008
,
ApJ
,
677
,
L5

van Dokkum
P. G.
et al. .,
2015
,
ApJ
,
813
,
23

Vegetti
S.
,
Koopmans
L. V. E.
,
2009
,
MNRAS
,
392
,
945

Vegetti
S.
,
Lagattuta
D. J.
,
McKean
J. P.
,
Auger
M. W.
,
Fassnacht
C. D.
,
Koopmans
L. V. E.
,
2012
,
Nature
,
481
,
341

Venturini
S.
,
Solomon
P.
,
2004
, in
Aalto
S.
,
Huttemeister
S.
,
Pedlar
A.
, eds,
ASP Conf. Ser. Vol. 320, The Neutral ISM in Starburst Galaxies
.
Astron. Soc. Pac
,
San Francisco
, p.
23

Vogelsberger
M.
et al. .,
2014
,
MNRAS
,
444
,
1518

Walter
F.
et al. .,
2003
,
Nature
,
424
,
406

Walter
F.
,
Carilli
C.
,
Bertoldi
F.
,
Menten
K.
,
Cox
P.
,
Lo
K. Y.
,
Fan
X.
,
Strauss
M. A.
,
2004
,
ApJ
,
615
,
L17

Walter
F.
,
Riechers
D.
,
Cox
P.
,
Neri
R.
,
Carilli
C.
,
Bertoldi
F.
,
Weiss
A.
,
Maiolino
R.
,
2009
,
Nature
,
457
,
699

Weiß
A.
,
Downes
D.
,
Neri
R.
,
Walter
F.
,
Henkel
C.
,
Wilner
D. J.
,
Wagg
J.
,
Wiklind
T.
,
2007
,
A&A
,
467
,
955

Weiß
A.
et al. .,
2013
,
ApJ
,
767
,
88

Wilkinson
P. N.
,
Browne
I. W. A.
,
Patnaik
A. R.
,
Wrobel
J. M.
,
Sorathia
B.
,
1998
,
MNRAS
,
300
,
790

Wilson
M. L.
,
Zabludoff
A. I.
,
Ammons
S. M.
,
Momcheva
I. G.
,
Williams
K. A.
,
Keeton
C. R.
,
2016
,
ApJ
,
833
,
194

Wuyts
S.
et al. .,
2011
,
ApJ
,
738
,
106

APPENDIX: VLA VISIBILITY DATA

The CO (1–0) emission has limited spatial information for both systems due to the VLA resolving out the emission with the longest baselines. This can be seen as a rapid decrease in flux density with increasing uv distance, as illustrated in Fig. A1.

Left: Visibility amplitude (mJy) as a function of radius in the uv-plane (projected baseline in kilowavelengths units) for the CO(1–0) and continuum emission in MG J0751+2716. The bins have equal number of visibilities and the error bars plotted correspond to the standard deviation of each bin. We show the visibilities in the channels associated with the CO (1–0) emission as observed in B- (light blue circles) and C-configurations (red triangles). Right: Same plot for the observed visibilities of JVAS B1938+666 in A-configuration (dark blue squares), B-configuration (light blue circles), and D-configuration (yellow stars).
Figure A1.

Left: Visibility amplitude (mJy) as a function of radius in the uv-plane (projected baseline in kilowavelengths units) for the CO(1–0) and continuum emission in MG J0751+2716. The bins have equal number of visibilities and the error bars plotted correspond to the standard deviation of each bin. We show the visibilities in the channels associated with the CO (1–0) emission as observed in B- (light blue circles) and C-configurations (red triangles). Right: Same plot for the observed visibilities of JVAS B1938+666 in A-configuration (dark blue squares), B-configuration (light blue circles), and D-configuration (yellow stars).

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)