This paper was converted on www.awesomepapers.org from LaTeX by an anonymous user.
Want to know more? Visit the Converter page.

A kpc-scale resolved study of unobscured and obscured star-formation activity in normal galaxies at z = 1.5 and 2.2 from ALMA and HiZELS

Cheng Cheng,1,2,3{}^{\!1,2,3} Edo Ibar,3{}^{\!3} Ian Smail,4{}^{\!4} Juan Molina,5{}^{\!5} David Sobral,6{}^{\!6} Andrés Escala,7{}^{\!7} Philip Best,8{}^{\!8} Rachel Cochrane,9,8{}^{\!9,8} Steven Gillman,4{}^{\!4} Mark Swinbank,4,10{}^{\!4,10} R. J. Ivison,11{}^{\!11} Jia-Sheng Huang,1,2{}^{\!1,2} Thomas M. Hughes,1,3,12,13{}^{\!1,3,12,13} Eric Villard14{}^{\!14} and Michele Cirasuolo11{}^{\!11}
1Chinese Academy of Sciences South America Center for Astronomy, National Astronomical Observatories, CAS, Beijing 100101, China,
Email: chengcheng@nao.cas.cn
2CAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China,
3Instituto de Física y Astronomía, Universidad de Valparaíso, Avda. Gran Bretaña 1111, Valparaíso, Chile
4Centre for Extragalactic Astronomy, Durham University, South Road, Durham, DH1 3LE
5Kavli Institute for Astronomy and Astrophysics, Peking University, 5 Yiheyuan Road, Haidian District, Beijing 100871, P.R. China
6Department of Physics, Lancaster University, Lancaster, LA1 4BY
7Departamento de Astronomía (DAS), Universidad de Chile, Casilla 36-D, Santiago, Chile
8SUPA, Institute for Astronomy, Royal Observatory Edinburgh, EH9 3HJ
9Harvard-Smithsonian Center for Astrophysics, 60 Garden St. Cambridge, MA 02138, USA
10Institute for Computational Cosmology, Durham University, South Road, Durham DH1 3LE
11European Southern Observatory, Karl-Schwarzschild-Strasse 2, D-85748 Garching, Germany
12CAS Key Laboratory for Research in Galaxies and Cosmology, Department of Astronomy, University of Science and Technology of China, Hefei 230026, China
13School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
14Joint ALMA Observatory/ESO Avenida Alonso de Cordova 3107, Vitacura, Santiago, Chile
(Accepted XXX. Received YYY; in original form ZZZ)
Abstract

We present Atacama Large Millimeter/Submillimeter Array (ALMA) continuum observations of a sample of nine star-forming galaxies at redshifts 1.47 and 2.23 selected from the High-zz Emission Line Survey (HiZELS). Four galaxies in our sample are detected at high significance by ALMA at a resolution of 0.250\aas@@fstack{\prime\prime}25 at rest-frame 355 μ\mum. Together with the previously observed Hα\alpha emission, from adaptive optics-assisted integral-field-unit spectroscopy (0.15\sim 0\aas@@fstack{\prime\prime}15 resolution), and F606W and F140W imaging from the Hubble Space Telescope (0.2\sim 0\aas@@fstack{\prime\prime}2 resolution), we study the star-formation activity, stellar and dust mass in these high-redshift galaxies at \simkpc-scale resolution. We find that ALMA detection rates are higher for more massive galaxies (M>1010.5M_{*}>10^{10.5} M) and higher [N ii]/Hα\alpha ratios (>0.25>0.25, a proxy for gas-phase metallicity). The dust extends out to a radius of 8 kpc, with a smooth structure, even for those galaxies presenting clumpy Hα\alpha morphologies. The half-light radii (RdustR_{\rm dust}) derived for the detected galaxies are of the order \sim4.5 kpc, more than twice the size of submillimetre-selected galaxies at a similar redshift. Our global star-formation rate estimates — from far-IR and extinction-corrected Hα\alpha luminosities — are in good agreement. However, the different morphologies of the different phases of the interstellar medium suggest complex extinction properties of the high-redshift normal galaxies.

keywords:
galaxies: ISM – submillimetre: galaxies – galaxies: starburst – galaxies: star formation
pubyear: 2020pagerange: A kpc-scale resolved study of unobscured and obscured star-formation activity in normal galaxies at z = 1.5 and 2.2 from ALMA and HiZELS12

1 Introduction

Observations of star-formation activity are critically important to tackle open questions relating to galaxy formation and evolution. The most direct view of cosmic star-formation history comes from observing ultraviolet (UV) photons from the young massive stars. However, part of this radiation is absorbed by dust, and the higher UV-energy photons are absorbed by neutral hydrogen. Gas ionised by this radiation eventually recombines, producing emission lines such as Lyα\alpha and Hα\alpha, which have been used historically to estimate the star-formation rate (SFR, e.g., Sobral & Matthee, 2019). Where the star-formation activity is shielded by gas and dust, the ionising photons may get absorbed and re-radiated at far-infrared (FIR) wavelengths by dust. Therefore, the rest-frame FIR emission is used to trace dust-obscured star formation in galaxies, and to derive total SFRs in combination with tracers of unobscured emission (e.g. Kennicutt, 1998; Kennicutt et al., 2012).

Different ways to estimate the SFR in galaxies have their own limitations and biases. For example, the Hα\alpha recombination line is generated originally by the photo-ionising radiation from massive stars (10\gtrsim 10 M), or AGN, and is therefore sensitive to recent star formation, within \sim10 Myr, and has modest sensitivity to dust obscuration. The UV flux (1600\sim 1600 Å), on the other hand, comes from young, massive stars but is also emitted by older 10–100 Myr stars (Kennicutt et al., 2012), and is very sensitive to dust obscuration. The FIR emission produced by heated dust grains comes from young star-forming regions but in lower luminosity sources, it can also arise from dust heated by older stellar populations. Spatially-resolved observations of local galaxies show that all of these SFR tracers are strongly correlated on \sim kpc scales (e.g., Boquien et al., 2016).

Previous observations of high-redshift galaxies have shown that their star-formation activity — as traced by UV or Hα\alpha emission — presents bright, clumpy star-forming complexes that could be up to 1000×\sim 1000\times more massive than those seen in local galaxies (e.g., Genzel et al., 2006, 2008; Förster Schreiber et al., 2006, 2009, 2018; Shapiro et al., 2008; Swinbank et al., 2012a, b). However, it may be that regions with fainter Hα\alpha and UV emissions are affected by significant dust obscuration. Previous work has shown that dust attenuation causes the SFR derived from different indicators to be inconsistent (Swinbank et al., 2004; Katsianis et al., 2017), thus it is essential to have a spatially resolved view of the ionised gas and the dust content in order to characterise the total SFR (unobscured and obscured), especially for high-redshift galaxies.

Table 1: ALMA observational set-up, ordered by the observation date.
Source List Project ID Observation Flux Bandpass Phase P.W.V. Number of Band (νobs\nu_{\rm obs} /GHz) Time on
Date Calibrator Calibrator Calibrator (mm) antennas Target (min)
SHiZELS-8 2012.1.00402.S 6 Nov. 2013 Uranus J2148+0657 J0215-0222 3.9 29 7 (344) 52
29 Nov. 2013 Uranus J0334-4008 J0215-0222 1.3 26 43
29 Nov. 2013 J0423-013 J0334-4008 J0215-0222 1.0 26 43
SHIZELS-7 2013.1.01188.S 11 Aug. 2015 Ceres J0006-0623 J0208-0047 0.9 43 7 (344) 28
SHiZELS-21 29 Aug. 2015 J0334-401 J0006-0623 J0219+0120 1.5 37 6 (261) 30
SHiZELS-2 29 Aug. 2015 J0238+166 J0224+0659 J0219+0120 1.4 37 6 (261) 30
SHIZELS-3 2015.1.00026.S 28 Jul. 2016 J1058+0133 J1058+0133 J0948+0022 0.6 37 6 (261) 26
SHIZELS-9 16 Jul. 2016 J0238+1636 J0238+1636 J0217+0144 0.4 38 7 (344) 43
SHIZELS-10 26 Jul. 2016 J0238+1636 J0238+1636 J0217+0144 0.4 38 7 (344) 43
SHIZELS-11 26 Jul. 2016 J0238+1636 J0238+1636 J0217+0144 0.6 45 7 (344) 43
10 Aug. 2016 J0006-0623 J0006-0623 J0217+0144 0.2 42 43
10 Aug. 2016 J0238+1636 J0238+1636 J0217+0144 0.2 39 43
SHIZELS-14 2 Aug. 2016 J1058+0133 J1058+0133 J0948+0022 0.7 39 6 (261) 26

The High-zz Emission Line Survey (HiZELS, Sobral et al., 2012, 2013, 2015; Geach et al., 2008) was designed to study ‘normal’ star-forming galaxies selected in narrow redshift slices at 0.4, 0.84, 1.47 and 2.23 via the identification of Hα\alpha emission using near-infrared (near-IR) narrow-band filter imaging in extragalactic survey fields including the Subaru-XMM Deep Field / UKIDSS Ultra Deep Survey (UDS, Lawrence et al., 2007) and the Cosmological Evolution Survey (COSMOS, Scoville et al., 2007) fields. The HiZELS survey detects thousands of emission-line objects, samples the ‘typical’ galaxy population (Oteo et al., 2015; Cochrane et al., 2018), following the so-called ‘main sequence’ for star-forming galaxies at zz\simeq 1.47 and 2.23 (Gillman et al., 2019), and probing below the knee of the Hα\alpha luminosity function (<LHα<\,L^{*}_{\rm H\alpha}) at these redshifts (LHα=1042.6ergs1L^{*}_{\rm H\alpha}=10^{42.6}\rm erg\,s^{-1} at z1.47z\simeq 1.47 and LHα=1042.9ergs1L^{*}_{\rm H\alpha}=10^{42.9}\rm erg\,s^{-1} at z2.23z\simeq 2.23, Swinbank et al., 2012a; Cochrane et al., 2017). Over thirty galaxies from HiZELS have also been mapped in the follow-up near-IR using integral field unit (IFU) spectroscopy (the ‘SHIZELS’ sample) aided by adaptive optics (AO), with the Spectrograph for INtegral Field Observations in the Near Infrared (SINFONI) at the Very Large Telescope (VLT) or the Near-Infrared Integral Field Spectrometer (NIFS) at Gemini-North (Swinbank et al., 2012a, b; Molina et al., 2017; Gillman et al., 2019). These observations provide Hα\alpha IFU imaging at \sim 1 kpc scales for galaxies at zz\simeq 1.47 or 2.23.

In this work, we make use of the available AO-aided IFU data and the Hubble Space Telescope (HST) F606W, F140W data, together with new Atacama Large Millimeter/submillimeter Array (ALMA) observations targeting the continuum emission at submillimetre wavelengths at similar spatial resolution (synthesised beam of 0.20.3\sim 0\aas@@fstack{\prime\prime}2-0\aas@@fstack{\prime\prime}3 full width half maximum), to characterise the spatial correlation between the the Hα\alpha/UV and dust emission of high-redshift zz\simeq 1.47 and 2.23 galaxies (the ‘ALMA-SHiZELS’ sample). The combination of the AO-aided IFU Hα\alpha data, HST data and the ALMA observations provides a unique opportunity to characterise the spatial correlation between the SFR tracers around the peak of cosmic star formation. We describe our observations, data reduction and analysis in Section 2. In Section 3, we present the results and discussion, and summarise in Section 4. Throughout this work, we assume a Λ\LambdaCDM cosmology with H0{\rm H_{0}} = 70 kms1Mpc1{\rm kms^{-1}Mpc^{-1}}, ΩM=0.3{\rm\Omega_{M}}=0.3, ΩΛ=0.7{\rm\Omega_{\Lambda}}=0.7, where 0.150\aas@@fstack{\prime\prime}15 corresponds to a physical scale of \sim1.3 kpc at both z1.47z\simeq 1.47 and 2.23.

2 Observations and data reduction, and analysis

2.1 ALMA observations

Nine SHiZELS galaxies were observed with ALMA during Cycle 2, 3, 4 (projects 2012.1.00402.S, 2013.1.01188.S and 2015.1.00026.S; P.I.: E. Ibar) in Bands 6 or 7, depending on whether the galaxies were at z=2.23z=2.23 or 1.47, respectively, corresponding to rest-frame \sim 355μ\mum. The observations were designed to detect continuum emission using four spectral windows (SPWs), each covering an effective bandwidth of 1.875 GHz at a spectral resolution of 15.6 MHz. Observations were taken under relatively good weather conditions with precipitable water vapour (P.W.V.) ranging from 0.2 mm to 3.9 mm, and using 29 to 45 antennas (the earlier the cycle, the smaller the number) with the longest baselines spanning 1.0–1.5 km. The phase, bandpass and flux calibrators for all observations used in this work are listed in Table 1.

Data reduction was carried out using the Common Astronomy Software Applications (casa) and using the ALMA pipeline up to the production of calibrated uvuv data products. Three imaging approaches were performed using the task tclean, exploring a Briggs weighting (robust=0.5), natural weighting, and uvuv tapering such that we created a synthesized beam of 1′′\sim 1^{\prime\prime} (see Figs 8, 9). In all cases, the signal is interactively cleaned down to 2–3 σ\sigma (r.m.s. \sim 25μ\muJy beam-1) in regions with significant emission at the source position. The astrometric accuracy of the ALMA Band-7 image is around 1.5 mas. Information about each target is presented in Table 2.

Sources SHiZELS-7, SHiZELS-9, SHiZELS-11 and SHiZELS-14 were detected by ALMA at a significance higher than 5σ\sigma in at least one of the three imaging approaches, while SHiZELS-21, SHiZELS-8, SHiZELS-10, SHiZELS-2 and SHiZELS-3 remained undetected, regardless of the imaging approach.

Within the field of view (FoV) of SHiZELS-7 and SHiZELS-10, we identify two serendipitous detections. We denote them as SHiZELS7-ID2 and SHiZELS10-ID2 and their properties are listed in Appendix D.

Table 2: Properties of the SHiZELS galaxies presented in this work. ID and z and MM_{\star} are extracted from previous AO-aided IFU observations presented in Gillman et al. (2019). S355μmS_{\rm 355\mu m} and RdustR_{\rm dust} are the observed continuum flux density and the deconvolved half-light radius at 355 μ\mum (rest-frame). \ddagger Possible AGN.
ID R.A. (J2000) Dec. (J2000) zHαz_{\rm H\alpha} log(LHα/ergs1)\log(L_{\rm H\alpha}/\rm erg\,s^{-1}) S355μmS_{\rm 355\mu m} (mJy) log(LFIR/L)\log(L_{\rm FIR}/{\rm L}_{\odot}) log(MMAGPHYS/M)\log(M_{*}^{\rm MAGPHYS}/{\rm M}_{\odot}) log(SFRMAGPHYS/Myr1)\log(\rm SFR^{\rm MAGPHYS}/M_{\odot}\rm yr^{-1}) AvA_{v} RdusthalflightR^{\rm half-light}_{\rm dust} (kpc) RdustuvfitR_{\rm dust}^{\rm uvfit} (kpc)
SHiZELS-7 02:17:00.34 -05:01:50.6 1.455 42.1 0.15 ±\pm 0.03 10.5 ±\pm 0.4 10.4 ±\pm 0.2 1.6±\pm0.3 0.8±\pm0.5 3.7 ±\pm 0.3 4.3 ±\pm 0.4
SHiZELS-9 02:17:12.99 -04:54:40.7 1.462 42.4 0.51 ±\pm 0.06 11.2 ±\pm 0.4 10.6 ±\pm 0.1 1.9±\pm0.2 1.0±\pm0.3 4.9 ±\pm 0.3 4.8 ±\pm 0.4
SHiZELS-11\ddagger 02:18:21.23 -05:02:48.9 1.492 42.3 1.34 ±\pm 0.14 11.6 ±\pm 0.4 11.5 ±\pm 0.1 1.7±\pm0.1 0.8±\pm0.1 5.2 ±\pm 0.4 4.3 ±\pm 0.5
SHiZELS-14 10:00:51.58 ++02:33:34.1 2.242 42.9 2.31 ±\pm 0.23 12.6 ±\pm 0.3 11.1 ±\pm 0.1 2.6±\pm0.2 1.5±\pm0.2 4.7 ±\pm 0.3 4.1 ±\pm 0.4
SHiZELS-10 02:17:39.02 -04:44:41.4 1.447 41.9 < 0.11 (5σ\sigma) <11.3 (5σ\sigma) 10.1 ±\pm 0.1 2.0±\pm0.2 1.4±\pm0.2
SHiZELS-8 02:18:20.96 -05:19:07.5 1.460 42.2 < 0.12 (5σ\sigma) <11.2 (5σ\sigma) 10.3 ±\pm 0.1 1.9±\pm0.2 1.4±\pm0.4
SHiZELS-2 02:19:25.50 -04:54:39.6 2.223 42.3 < 0.12 (5σ\sigma) <11.9 (5σ\sigma) 9.9 ±\pm 0.2 1.4±\pm0.3 0.3±\pm0.3
SHIZELS-3 10:00:27.69 ++02:14:30.6 2.225 42.4 < 0.10 (5σ\sigma) <11.8 (5σ\sigma) 9.0 ±\pm 0.1 0.9±\pm0.2 0.2±\pm0.1
SHIZELS-21 02:16:45.82 -05:02:45.0 2.237 42.6 < 0.12 (5σ\sigma) <11.8 (5σ\sigma) 9.8 ±\pm 0.1 1.6±\pm0.2 1.2±\pm0.3
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Figure 1: The HST F606W (blue) and F140W (red) true-colour composite images, including ALMA continuum contours (cyan) and Hα\alpha contours (orange). Contour levels are shown at 2-, 3-, 4- and 5-σ\sigma, The ALMA synthesised beam is shown in the lower left corner. The green dash lines show the direction of major kinematic axis (PAvel\rm PA_{vel}, see the velocity map in Gillman et al., 2019). The three different tracers of star formation are clearly highlighting very different regions.

2.2 Global astrometry

One of the main challenges when analysing multi-wavelength high-resolution spatially-resolved observations is the global astrometric accuracy. In particular, IFU observations with a small FoV (as obtained with SINFONI, which has a FoV of about 3′′×3′′3^{\prime\prime}\times 3^{\prime\prime}) present a global astrometric uncertainty which is larger than the resolution elements of the observations, therefore they are difficult to anchor to other observations at high-resolution. For this reason, we perform the following astrometric corrections to analyse our data.

Firstly, we align the astrometry of the HiZELS narrow-band images by the public Gaia DR2 catalogue. The offset between the HiZELS catalogue generated by SExtractor and the Gaia catalogue is corrected to ΔR.A.=0.004±0.13′′\Delta{\rm R.A.}=0\aas@@fstack{\prime\prime}004\pm 0\aas@@fstack{\prime\prime}13^{\prime\prime} and ΔDec.=0.010±0.10\Delta{\rm Dec.}=-0\aas@@fstack{\prime\prime}010\pm 0\aas@@fstack{\prime\prime}10. We degrade the resolution of the Hα\alpha moment-0 SINFONI image down to 0.70\aas@@fstack{\prime\prime}7 using a Gaussian kernel to get a similar resolution to the HiZELS narrow-band images. Then we fit a Gaussian profile to this low-resolution image in order to obtain the position of the peak, identify the offset with respect to the narrow-band image, and use this information to correct the astrometry of the IFU image.

As mentioned before, we have also used the available HST F606W and F140W observations 111HST proposal ID: 14719, P.I.: P. Best. The HST FoV is about 2×22^{\prime}\times 2^{\prime}, which is too small to apply a reliable astrometric correction using Gaia DR2. Therefore, we correct the global astrometry of the HST images using the HSC DR2 catalogue available in our fields (Aihara et al., 2019). The 5σ\sigma limiting magnitude within 2′′2^{\prime\prime} diameter apertures of the HSC ii-band catalogue is 26.7 AB mag, which is similar to the HST images, and deep enough to have about 200 high-S/N sources for the alignment. The astrometric accuracy of HSC DR2 catalogue derives from the Gaia DR2 catalogue (Aihara et al., 2019). We match the HST and HSC catalogues for the offsets of R.A., Dec., and correct the astrometry of the HST image. After our astrometric correction, the catalogue match between HST and HSC catalogues is consistent with an offset of zero, with systematic errors of 0.04\sim 0\aas@@fstack{\prime\prime}04.

In Fig. 1, we show the true-colour image composite from HST F606W (in blue) and F140W (in red) images, including ALMA continuum contours in levels of 2σ2\sigma, 3σ3\sigma, 4σ4\sigma, 5σ5\sigma for the four ALMA-detected galaxies. The galaxy centres revealed by HST more or less coincide with the ALMA imaging. The observations reveal a complex state for the interstellar medium in SHiZELS galaxies at zz\simeq 1.47 and 2.23. We show multi-wavelength postage stamps of the HST, Hα\alpha (Gillman et al., 2019) and our ALMA images for each of the galaxies presented in this work in Figs 8 and 9.

Refer to caption
Figure 2: The dust mass to stellar mass of our sample (red), the local galaxies from the Dustpedia project (green, Clark et al., 2018), and the SMGs from the ALMA SCUBA-2 UDS survey (purple, Dudzevičiūtė et al., 2020). The dust mass and the stellar mass of our sample and the comparison samples are derived from the SED fitting results by MAGPHYS. The red filled circles are the ALMA detected targets while the red open circles are the ALMA non-detected targets. The target with the stellar mass above 1011M10^{11}M_{\odot} is SHiZELS-14, which is a ULIRG.
Refer to caption
Figure 3: The total SFRs derived from the extinction-corrected Hα\alpha (Eq. 3), and FIR luminosities for z2.23z\sim 2.23 and z1.47z\sim 1.47 samples, respectively. We show the ALMA detected targets as filled red circles and the ALMA non-detected targets as open red circles. We compare our findings with previously observed SMGs at zz\sim2 from Swinbank et al. (2004) and Chen et al. (2020). A sample of 15-μ\mum-selected galaxies (at z1z\sim 1) presented by Franceschini et al. (2003) are also shown. The dotted lines show 0.5 dex above and below the solid line.
Table 3: Gas phase metallicities derived from previous AO-aided IFU observations (following Curti et al. (2017)), gas to dust ratio (see § 2.5), total ISM mass estimated following Scoville et al. (2016), the dust mass from gas-to-dust ratio (log(MdustGDR\log(M_{\rm dust}^{\rm GDR}) and SED fitting (log(MdustSED\log(M_{\rm dust}^{\rm SED}) for the ALMA-SHiZELS galaxies presented in this work. \ddagger Possible AGN. For the ALMA detected galaxy, the MAGPHYS fitting includes the new ALMA flux.
ID [N ii]/Hα\alpha 12+log(O/H) δGDR\delta_{\rm GDR} log(MISM/M)\log(M_{\rm ISM}/{\rm M}_{\odot}) log(MdustGDR/M)\log(M_{\rm dust}^{\rm GDR}/{\rm M}_{\odot}) log(MdustSED/M)\log(M_{\rm dust}^{\rm SED}/{\rm M}_{\odot}) log(MdustMAGPHYS/M)\log(M_{\rm dust}^{\rm MAGPHYS}/{\rm M}_{\odot}) log(MdustMAGPHYS/M)\log(M_{\rm dust}^{\rm MAGPHYS}/M_{*})
SHiZELS-7 0.43 ±\pm 0.05 8.79 ±\pm 0.11 69 ±\pm 24 9.65 ±\pm 0.05 7.8 ±\pm 0.2 7.5±\pm 0.2 7.4±\pm0.2 -3.2 ±\pm 0.3
SHiZELS-9 0.27 ±\pm 0.03 8.64 ±\pm 0.11 97 ±\pm 30 10.17 ±\pm 0.04 8.2 ±\pm 0.1 8.1±\pm 0.2 7.9±\pm0.1 -2.9 ±\pm 0.2
SHiZELS-11\ddagger 0.60 ±\pm 0.10 8.87 ±\pm 0.12 57 ±\pm 21 10.59 ±\pm 0.06 8.8 ±\pm 0.2 8.5±\pm 0.2 8.6±\pm0.1 -2.3 ±\pm 0.3
SHiZELS-14 0.60 ±\pm 0.05 8.87 ±\pm 0.11 57 ±\pm 21 11.19 ±\pm 0.06 9.4 ±\pm 0.2 8.8±\pm 0.1 9.0±\pm0.1 -2.1 ±\pm 0.2
SHiZELS-10 0.13 ±\pm 0.04 8.47 ±\pm 0.17 143 ±\pm 37 <9.50<9.50 <<7.3 <<7.4 8.0±\pm0.5 -2.1 ±\pm 0.5
SHiZELS-8 <<0.1 <<8.42 >>264 <<7.4 8.0±\pm0.5 -2.3 ±\pm 0.5
SHiZELS-2 0.12 ±\pm 0.01 8.45 ±\pm 0.11 150 ±\pm 38 <9.92<9.92 <<7.7 <<7.6 7.3±\pm0.6 -2.5 ±\pm 0.6
SHiZELS-3 0.03 ±\pm 0.01 8.13 ±\pm 0.29 310 ±\pm 52 <9.84<9.84 <<7.3 <<7.5 6.3±\pm0.6 -2.7 ±\pm 0.6
SHiZELS-21 0.23 ±\pm 0.04 8.60 ±\pm 0.16 106 ±\pm 32 <9.92<9.92 <<7.9 <<7.6 7.6±\pm0.5 -2.1 ±\pm 0.5

2.3 MAGPHYS fitting with ALMA flux

SEDs of the SHiZELS sample were previously fitted using MAGPHYS (da Cunha et al., 2008) in Gillman et al. (2019). The ALMA detected fluxes of the ALMA-SHiZELS galaxies can help to constrain the FIR properties. Therefore, we re-fit the SEDs of the four ALMA detected galaxies including the FIR flux we obtained in this work, and list the main results in Table 2 and 3. For the ALMA non-detected galaxies, we list the dust mass given by MAGPHYS from fitting the optical-to-NIR SEDs. The stellar mass and dust mass show reasonable consistencies from the different approach.

We show the dust-to-stellar mass ratio (log10(Mdust/M)\log_{10}(M_{\rm dust}/M_{*})) in Fig. 2 and compare our results with the local galaxies from Dustpedia (Clark et al., 2018; Casasola et al., 2020). The only ULIRG in our sample, SHiZELS-14, has a larger log10(Mdust/M)=2.1±0.2\log_{10}(M_{\rm dust}/M_{*})=-2.1\pm 0.2 than the local galaxies, while this value is consistent with the typical value of log10(Mdust/M)\log_{10}(M_{\rm dust}/M_{*}) in SMGs at redshift about 2 (Calura et al., 2017). The rest targets of our sample all have consistent or 1σ\sigma higher log10(Mdust/M)\log_{10}(M_{\rm dust}/M_{*})) values as the local galaxies, even for the targets with no ALMA detection.

2.4 Global SFRs from Hα\alpha and FIR emission

To estimate the FIR luminosity (and SFRFIR) using the ALMA observations (rest-frame continuum at \sim355 μ\mum), we assume a FIR SED template based on previous stacking analyses for HiZELS galaxies at z1.47z\sim 1.47 (Ibar et al., 2013) and 2.23 (Thomson et al., 2017). Thanks to the rich multi-wavelength coverage, the stellar masses of the HiZELS galaxies can be estimated reasonably well (see Sobral et al., 2014; Gillman et al., 2019). For the purpose of this work, for the z1.47z\sim 1.47 targets, we adopt the stacked SEDs derived by Ibar et al. (2013) in the stellar mass bins of 9.9<log(M/M)<10.39.9<\log(M_{*}/M_{\odot})<10.3 and 10.3<log(M/M)<11.810.3<\log(M_{*}/M_{\odot})<11.8. For galaxies at z2.23z\sim 2.23, we consider the FIR template presented in Thomson et al. (2017).

We fit each FIR template SED following the modified-blackbody fitting method described by Beelen et al. (2006), assuming a fixed power-law index for the dust emissivity, β=1.8\beta=1.8. The fitting results show a dust temperature of about 25 ±\pm 1 K for z1.47z\simeq 1.47 targets and 32 ±\pm 2 K for the z2.23z\simeq 2.23 targets, similar to previous measurements of luminous IR galaxies at high redshift (Hwang et al., 2010; Oteo et al., 2017; Liang et al., 2019). To estimate FIR luminosities, we normalise the assumed SED to the observed ALMA flux densities. We derive dust masses following the method presented in Beelen et al. (2006), finding values in the range of 107.1108.910^{7.1}-10^{8.9} M. From Table 3 we can see that the dust masses derived from SED fitting and the MAGPHYS are consistent. For the galaxies with no ALMA detection, we use global upper limits using 5×5\times the r.m.s. of the tapered image.

Uncertainties for the FIR properties come from the SED fitting, FIR flux measured from ALMA results, and template assumption. We expect dust-temperature uncertainties for galaxy templates for M>1010M_{*}>10^{10} M galaxies of about 5 K (see the Fig. 5 in Ibar et al., 2013), which leads to a systematic uncertainty in log(LFIR/\log(L_{\rm FIR}/L){}_{\odot}) of about 0.3 dex. We run a Monte-Carlo simulation to sample the dust temperature, assuming a Gaussian distribution centred at TdustT_{\rm dust} from the FIR SED templates, and a scatter σTdust=5\sigma_{T_{\rm dust}}=5 K. We also sample the ALMA flux density (or flux density limit) from a Gaussian distribution centred at the measured flux density with the observed scatter. Then we derive LFIRL_{\rm FIR} and MdustM_{\rm dust}, and their r.m.s. scatter, such that the scatter of LFIRL_{\rm FIR} includes the uncertainty in TdustT_{\rm dust} and ALMA flux density. Since we only have one detected FIR band for most sources, we cannot sensibly adopt a more complex model to understand the FIR properties.

The obscured SFR, as derived from the observed FIR emission, can be estimated by Kennicutt et al. (2012):

logSFRFIR(Myr1)=logLFIR(81000μm)(ergs1)43.47,\log{\rm SFR}_{\rm FIR}({M_{\odot}\,\rm yr^{-1}})=\log L_{\rm FIR(8-1000\mu m)}({\rm erg\,s^{-1}})-43.47, (1)

assuming a Chabrier initial mass function (IMF; Chabrier, 2003).

Refer to caption
Figure 4: The stellar mass versus [N ii]/Hα\alpha for our ALMA-SHiZELS galaxies. The ALMA-detected targets are shown in red while the non-detected targets are coloured blue. Since the metallicity could be derived from the [N ii]/Hα\alpha ratio (Curti et al., 2017), we show the metallicity on the right-hand axis. We also show the mass-metallicity results at redshift \sim2 from Erb et al. (2006) in blue dots. Only the more massive galaxies with high metallicities are detected in continuum by ALMA.
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Figure 5: The uvuv-real visibility diagrams of the ALMA detected targets. The black dots and blue error bar are obtained from the ALMA data while the red lines are the fitting results by disk model in the CASA task uvmodelfit.

On the other hand, to correct the flux observed from the narrow-band Hα\alpha imaging for dust extinction, we assume a parametrisation of the Hα\alpha extinction as a function of stellar mass following Garn & Best (2010):

AHα(M)=0.09X3+0.11X2+0.77X+0.91,A_{\rm H\alpha}(M_{*})=-0.09X^{3}+0.11X^{2}+0.77X+0.91, (2)

where X=log10(M/1010M)X=\log_{10}(M_{*}/10^{10}{\rm M}_{\odot}). This correlation between Hα\alpha extinction and stellar mass has also been confirmed by Sobral et al. (2012), Koyama et al. (2019) and Qin et al. (2019). Using the stellar masses presented by in Table 2, we derive the extinction-corrected Hα\alpha luminosity (LHαcorrL^{\rm corr}_{\rm H\alpha}) to obtain the SFR:

logSFRHα(Myr1)=logLHαcorr(ergs1)41.27,\log{\rm SFR}_{\rm H\alpha}({{\rm M}_{\odot}\,\rm yr^{-1}})=\log L^{\rm corr}_{\rm H\alpha}({\rm erg\,s^{-1}})-41.27, (3)

assuming the same Chabrier IMF.

A comparison between these two SFR estimates is shown in Fig. 3.

Previous studies of the SFR from FIR and Hα\alpha show that SMGs at z2z\sim 2 have much larger SFRFIR than SFRcorrHα{}_{\rm H\alpha}^{\rm corr} (Swinbank et al., 2004; Chen et al., 2020).

Due to the sensitive Hα\alpha selection of our HiZELS parent sample, our sample comprises more typical ‘main sequence’ galaxies, and is not limited to the most dusty starbursts. Only one of the ALMA-SHiZELS galaxies has FIR-derived SFR above 100 Myr1{}_{\odot}\,\rm yr^{-1}. It is therefore not surprising that the SFRs derived from Hα\alpha and FIR emission are more similar for our sample than for literature SMGs.

2.5 The role of stellar mass and gas-phase metallicity

We consider the gas-phase oxygen abundance as a proxy for metallicity, and estimate it from the [N ii]/Hα\alpha emission line ratio (Pettini & Pagel, 2004; Curti et al., 2017) from the near-IR IFU spectroscopy (see Table 3). The SHiZELS population has mainly Solar to sub-Solar values (Swinbank et al. 2012b; Molina et al. 2017). We show the mass-metallicity relation of our ALMA-HiZELS sample in Fig. 4 and identify the ALMA-detected and non-detected targets. We show the mass-metallicity relation at redshift 2\sim 2 from Erb et al. (2006) as a comparison. In our observations, we find that the lower the metal content or stellar mass, the weaker the ALMA continuum emission. Indeed, all of the ALMA-detected galaxies have [N ii]/Hα0.2\alpha\gtrapprox 0.2 or M>1010.5MM_{*}>10^{10.5}{\rm M}_{\odot}, corresponding to 12+log(O/H) >8.5>8.5. The typical [N ii]/Hα\alpha emission line ratio for galaxies at z2z\sim 2 ranges from 0.03 to 0.3 (Strom et al., 2017), thus our ALMA-detected sample is indeed biased towards massive and high-metallicity galaxies. As expected, dust continuum is more easily detected for a galaxy with higher stellar mass or metallicity.

The ALMA detected targets have stellar mass values about one order of magnitude higher than the ALMA non-detected targets. Since the SFR of the ALMA-SHiZELS sample is in the range of 10 to 100 M yr-1 (within one order of magnitude; Gillman et al., 2019), the ALMA detected targets in this work mainly have low specific SFR compared to the rest of the SHiZELS sample.

Using the metallicity measurements, we can also derive the gas-to-dust mass ratio (δGDR\delta_{\rm GDR}) following Magdis et al. (2012): logδGDR=(10.54±1.0)(0.99±0.12)×[12+log(O/H)]\log\delta_{\rm GDR}=(10.54\pm 1.0)-(0.99\pm 0.12)\times[12+\log(\rm O/H)]. We estimate ISM mass using the ALMA-derived 355 μ\mum flux, following Scoville et al. (2016) (Eq 16). Our derived dust masses are presented in Table 3. As shown there, these estimates are in good agreement with the values derived from SED fitting.

2.6 Dust radius of the ALMA detected targets

To estimate the dust radius, we fit the uvuv-real visibility of the ALMA detected targets by casa task uvmodelfit, and show the results in Fig. 5. We chose the discdisc model in uvmodelfit to fit the uvuv profile. The circularised radius Rdustuvfit=RmajRminR^{\rm uvfit}_{\rm dust}=\sqrt{R_{\rm maj}\,R_{\rm min}} of our targets are shown in Table 2. Since the FIR morphology is not regular, and thus the disk fitting results may not represent the flux distribution, we also measure the half-light radius (RdusthalflightR^{\rm half-light}_{\rm dust}) of the ALMA images from the surface brightness distribution in the image plane and show the results in Table 2. The FIR surface brightness profiles in real plane are also fitted by Sérsic function and can be found in Section B. The different approaches adopted for the measurements of the dust radii all show that the radii are 4-5 ±\pm 0.5 kpc, larger than the typical size of the high-redshift SMGs (Ikarashi et al., 2015; Simpson et al., 2015; Fujimoto et al., 2017). Dust emission from the four ALMA-detected galaxies is found to extend up to 2′′\sim 2^{\prime\prime} (16\sim 16 kpc, Fig. 10).

3 Results and discussion

3.1 Individual galaxy properties

Figs 1 and 8 and 9 show the HST, SINFONI and ALMA images of our SHiZELS sample. For the galaxies at redshift about 1.47 and 2.23, the HST F606W filter corresponds to rest-frame 2400 Å and 1800 Å, therefore these images are tracing mainly the detectable UV emission, i.e. the star formation that is not obscured by the dust. On the other hand, the observed HST F140W image reveals the rest-frame rr- or gg-band morphology (free of strong line emission), which is more sensitive to stellar mass. Thus Figs 1, 8 and 9 show proxies for the stars (F140W), UV-traced star formation (F606W), Hα\alpha-traced star formation (SINFONI), and dust mass distributions (ALMA). In this section, we describe properties of our ALMA-detected targets individually222Most of our targets have two versions of the Hα\alpha maps (Swinbank et al., 2012a; Gillman et al., 2019). The main difference in the Hα\alpha morphology is caused by the different S/N criteria to create the Hα\alpha maps. Gillman et al. (2019) built Hα\alpha maps with high S/N spectra while the results in Swinbank et al. (2012a) use all the available spectra, which would then trace more extended Hα\alpha emission..

We caution that morphological information derived from the rest-frame UV/optical can be potentially very misleading in sources with substantial dust extinction and on-going star formation and in particular it is difficult to trace the true stellar mass (see Lang et al., 2019).

  • SHiZELS-7: The Hα\alpha kinematics reveal the presence of an extended disc-like rotating structure. Two Hα\alpha star-forming clumps, separated by 4 kpc, are identified by Swinbank et al. (2012a), although the fainter clump is not seen in Gillman et al. (2019) because of the different S/N criteria. The FIR continuum is spread over a diffuse structure. The two Hα\alpha clumps are not likely to be affected by significant dust obscuration, so there might be no massive dust and gas clouds associated with the Hα\alpha features. The HST F140W and F606W images show that the least obscured regions in this galaxy show a compact stellar core and a extended UV morphology.

  • SHiZELS-9: shows an extended rotation-dominated structure in Hα\alpha with three bright clumps (separated by \sim 3 kpc, Swinbank et al., 2012a). The FIR continuum shows a V-like structure in the central 3 kpc, linking a bright stellar core with a fainter one. A third stellar core shows both UV and FIR emission.

  • SHiZELS-11: This source was classified as a disk galaxy with a compact Hα\alpha structure (Swinbank et al., 2012a); although a newer analysis shows a marginally extended morphology (Gillman et al., 2019). SHiZELS-11 has an active galactic nucleus (AGN) identified in the X-rays by XMM-Newton and in the radio by the Very Large Array (VLA — Simpson et al., 2006; Ueda et al., 2008). SHiZELS-11 is also detected by Chandra in X-UDS survey (Kocevski et al., 2018), with X-ray luminosity is LX=1043.3L_{X}=10^{43.3} erg s1\rm s^{-1}. The velocity dispersion of Hα\alpha is about 90 km s-1 (Gillman et al., 2019), much less than the typical velocity dispersion of type-I AGN, implying that the AGN in SHiZELS-11 must be obscured. Rotation is not clear from the Hα\alpha dynamics, and the position of the maximum velocity dispersion is offset from the brightest Hα\alpha pixel (Gillman et al., 2019). The HST F140W image shows a smaller source to the south, which may suggest a close merger or dust lane. The source has an apparently high metallicity and a steep metallicity gradient (Swinbank et al., 2012a), which might be due to contamination from an AGN. Both UV and FIR are bright in the galaxy centre, while the rest-frame optical is mainly coming from a clumpy structure surrounding the centre. The ALMA continuum shows compact and extended emission, which does not overlap with the Hα\alpha.

  • SHiZELS-14: This galaxy has been identified as a merger with three Hα\alpha clumps separated by \sim 5 kpc (Swinbank et al., 2012b). The Hα\alpha morphology in Gillman et al. (2019) is less clumpy, but still extends to a half-light radius of about 7 kpc (Sersic model fitting results). The Hα\alpha kinematics show a velocity-dispersion-dominated system. The galaxy has the highest metallicity in the SHiZELS sample of Swinbank et al. (2012a). The full extent of the Hα\alpha emission is not traced by the rest-frame UV imaging. The ALMA continuum emission shows one dominant compact component at the centre, and more extended emission following a similar orientation as the F140W morphology. The FIR emission spreads up to 2′′2^{\prime\prime}, i.e. \sim16 kpc at z=2.23z=2.23. This target is comprehensively studied by Cochrane et al. (in preparation), including new Jansky VLA data.

Refer to caption
Figure 6: Comparison between different surveys, local and high-zz, with previous spatially resolved FIR observations. We show our ALMA-HiZELS galaxies (red dots), the galaxy sample from KINGFISH (green filled circles Kennicutt et al., 2011), GOALS (green cross filled circles Armus et al., 2009; Chu et al., 2017), DANCING-ALMA with S/N of LFIRL_{\rm FIR} higher than 5 (cross filled blue circles Fujimoto et al., 2017) and the recent ALMA observation results of the SCUBA-2 bright galaxies (Gullberg et al., 2019, purple diamonds). The figure shows that our ALMA-SHiZELS are fainter than observations of typical sub-millimetre bright galaxies at similar redshifts, and also present larger sizes. The sizes of the SHiZELS galaxies compare better with those of low-redshift star-forming galaxies from KINGFISH and GOALS.
Refer to caption
Refer to caption
Figure 7: Left panel: Comparison of the half-light radii measured in the ALMA continuum imaging with respect to those measured in Hα\alpha (Swinbank et al., 2012b; Molina et al., 2017). We also overplot the Herschel 350-μ\mum and narrow-band Hα\alpha radii (obtained after convolving both to the same resolution) from the KINGFISH (Kennicutt et al., 2011) and Spitzer Infrared Nearby Galaxies Survey (SINGS) projects (Kennicutt et al., 2003; Dale et al., 2005, 2007). Our high-redshift galaxy sample shows a broadly similar behaviour as is seen in these local galaxies, except SHiZELS-11 which shows a significantly larger radius in the FIR than in Hα\alpha. We also show the recent ALMA-resolved SMG sample at z2z\sim 2 (Chen et al., 2020) and one starburst galaxy (GOODSN-18574) at z=z= 1.25 (Nelson et al., 2019). Right panel: The stellar mass size as derived from the HST F140W image compared to the FIR size as derived from the ALMA observations. We show the Hα\alpha selected main sequence star-forming galaxies at redshift about 2.2-2.5 by Tadaki et al. (2017), the star-forming galaxies presented by Rujopakarn et al. (2016), the z\sim2 SMGs from Lang et al. (2019), and the massive star-forming galaxy sample at z\sim2 from Tadaki et al. (2020). The dot line shows the one-to-one relation. Our targets are roughly the largest galaxies in both rest-frame optical band and FIR radius, and may evolve into massive disk galaxies.

3.2 Spatially resolved properties

3.2.1 The dust emission from z=1.47z=1.47 & 2.23 galaxies

Previous sub-millimetre studies of high-redshift galaxies at high spatial resolution have revealed that clumps at \sim1 kpc scales do not particularly dominate the total flux emission, as is often seen in UV or Hα\alpha imaging (Hodge et al., 2019). For example, Hodge et al. (2016) used ALMA to observe a sample of z2.5z\sim 2.5 submillimeter galaxies (SMGs) at 0.160\aas@@fstack{\prime\prime}16 resolution and found that the observed 870μ\mum continuum morphologies are predominantly smooth and disc-like with typical radii of 1.8\sim 1.8 kpc. Gullberg et al. (2019) also shows that dust emission size from SMGs is about 1.5\sim 1.5 kpc at zz\sim 1–4, with a larger sample.

Although these previous studies have revealed the internal properties of the brightest SMGs, our focus is on the normal star forming galaxy population (i.e. galaxies selected by Hα\alpha flux, with many having LHα\lesssim L_{\rm H\alpha}^{*} Swinbank et al., 2012a) at high redshift. We find that our sample shows sub-millimetre continuum emission which is 2×\sim 2\times more extended than that seen in SMGs at z3z\sim 3. In the local universe, it is well known that ULIRGs present compact star-formation cores, which may eventually lead to a compact stellar core. The large FIR radius of our ALMA-HiZELS observations reveal the existence of a high-redshift galaxy population with extended star-formation activity at z=1.47z=1.47 or 2.23, possibly sustained in thick rotating disc-like structures.

In Fig. 6 we compare our results to previous spatially resolved FIR studies. For the galaxies at z=0z=0 and LFIR<1011LL_{\rm FIR}<10^{11}L_{\odot}, the Key Insights on Nearby Galaxies: a Far Infrared Survey with Herschel project (KINGFISH; Kennicutt et al., 2011) surveys have found a typical radius of about \sim4 kpc with predominately disc-like morphologies (Mosenkov et al., 2019). For isolated LIRGs taken from the Great Observatories All-sky LIRG Survey (GOALS, Armus et al., 2009; Chu et al., 2017) we also find relatively large FIR sizes, similar to those from KINGFISH. To have enough spatial resolution, we measure the GOALS galaxy FIR size based on the Herschel PACS 160μ\mum image. The difference between the FIR radius in 160μ\mum and 350μ\mum is about 1.5 times or less (Mosenkov et al., 2019), which will not affect our results. Some of the LIRGs in GOALS sample are galaxy pairs or merging galaxies. To avoid the contamination from the neighbours, we only make use of the isolated galaxy sample here.

On the other hand, Demonstrating a New Census of Infrared Galaxies with ALMA (DANCING-ALMA, Fujimoto et al., 2017) project presents \sim1000 galaxies (0<z<60<z<6 mainly ULIRGs) resolved by ALMA at 1 mm and finds a positive correlation between the radius and LFIRL_{\rm FIR} (in Fig. 6 we only chose 1<z<31<z<3, S/N>10S/N>10 galaxies). The recent work by Gullberg et al. (2019) shows compact FIR emission for \sim 150 SMGs, when the IR luminosity of the galaxy exceeds 1012L10^{12}L_{\odot}.

Our ALMA-SHiZELS sample is different from the previous luminous high redshift dusty populations as we are targeting a much fainter population. As shown in Fig. 6 and Tab. 2, our sample has typically lower IR luminosity, larger dust size than the high-redshift SMGs, which suggests that our survey are targeting the high-redshift star-forming galaxy population, rather than the high-redshift starburst galaxies.

The extension of the dust emission (RdustR_{\rm dust}) could be roughly estimated from a theoretical point of view, assuming LFIR=4πReff2σTmbb4.32L_{\rm FIR}=4\pi R_{\rm eff}^{2}\sigma T_{\rm mbb}^{4.32}, where σ\sigma is the Stefan-Boltzmann constant, and the dust temperature (TmbbT_{\rm mbb}) and LFIRL_{\rm FIR} are derived from SED templates (see § 2.4; Ma & Yan 2015; Yan & Ma 2016; Dudzevičiūtė et al. 2020). This effective radius can be considered as the lower size limit of the galaxy FIR emitters, hence the difference with respect to the half-light radius could be understood as the spatial occupation of dust structures below the resolution elements. Using this equation, we derive effective radii for our SHiZELS galaxies of 0.3–1.1 kpc, much smaller than the observed half-light radii of about 4.5 kpc, implying typical dust filling factors from 5 to 10 for our sample. Hodge et al. (2019) have found that at 500 pc resolution they can see tentative evidence of the spiral and bar structures of SMGs (z=1.54.9z=1.5-4.9) at \sim250 μ\mum (rest-frame). Subject to surface brightness limitations, higher resolution ALMA imaging might reveal similarly complex structures in our galaxies.

3.2.2 Spatial correlation between dust and ionised gas

The observed morphologies of dust and Hα\alpha emissions are well known to be correlated (at kpc scales) for samples of local star-forming galaxies, such as the KINGFISH project (Kennicutt et al., 2011). In the left panel of Fig. 7 we show that if we compare the half-light radii measured by ALMA with respect to the Hα\alpha emission, we see good agreement for sources SHiZELS-7, -9 and -14, suggesting spatial coexistence (at \sim kpc scales) of the dust and the ionised gas. In contrast, the source presenting an AGN, SHiZELS-11, shows a significantly larger FIR radius than that seen in Hα\alpha.

We compare our results to the recent high resolution ALMA and Hα\alpha observations of a sample of z2z\sim 2 SMGs (Chen et al., 2020) and one starburst galaxy (Nelson et al., 2019) in the left-hand panel of Fig. 7. We find that our sample has a similar Hα\alpha radius to previously observed SMGs, suggesting extended star formation for these high-redshift galaxies. Despite this agreement, the dust emission from SMGs is typically more compact than our galaxies (Gullberg et al., 2019). The starburst galaxy in Nelson et al. (2019) has a dust radius higher than the SMGs, but still lower than our sample.

Although the SHiZELS sample shows a larger dust radius than the SMGs and starburst galaxy, most of the high-redshift galaxies in Fig. 7 have similar Hα\alpha radius of about 4 kpc. So the SMGs appear also to have an extended star formation region, as well as a compact dusty core in the galaxy center (e.g., Fig. 6). SMGs may obscure Hα\alpha emission especially in the center kpc region, so the Hα\alpha distribution in the SMG center might be more flatter, leading to a larger Hα\alpha half-light radius. Since Hα\alpha in SMGs can be bright and extended (Swinbank et al., 2004, 2006), while the dust morphology is compact (Rujopakarn et al., 2019; Chen et al., 2020), the large dust radii we observe in ALMA-SHiZELS sample may caused by the low SFR (LHα<LHαL_{\rm H\alpha}<L^{*}_{\rm H\alpha}) of the SHiZELS sample, rather than with the Hα\alpha-selection method.

The strong dust extinction in SMGs may also affect the Hα\alpha emission such that the SFR derived from Hα\alpha is lower than the SFRFIR (Fig. 3), even though both SFR indicators may only reflect one aspect of the star formation and may still lower than the intrinsic SFR in galaxies.

The SHiZELS sample was selected on Hα\alpha, down to a flux limit that traces below the knee of the luminosity function, and therefore the bulk of the sample will be less dusty than submm selected galaxies. Our results show that the SHiZELS galaxies have very similar dust and Hα\alpha radii as the star-forming galaxies from KINGFISH at low redshift (Fig. 6 and 7). In the low-redshift universe, most of the star-forming galaxies are found to be spiral galaxies with low star-formation efficiency over an extended large disk (e.g., Leroy et al., 2008; Cheng et al., 2018), while ULIRGs usually have a more violent compact nuclear starburst in the galaxy center (Solomon et al., 1997; Downes & Solomon, 1998). The similarity between the bulk of the ALMA-SHiZELS sample and the KINGFISH sample in Fig. 6 and 7 is in line with the two samples tracing more similar modes of main sequence star formation, compared with the extreme starburst modes witnessed in SMGs.

Hα\alpha clumpy features are commonly found in high-redshift galaxies (Genzel et al., 2006; Swinbank et al., 2012b). However, our ALMA continuum images do not show clear counterparts of the Hα\alpha clumps, at least at \sim kpc scales (Fig. 1). It may be that the observed clumps are not tracing true star-forming clumps, but less dusty regions of the galaxy, from which the Hα\alpha can escape (Swinbank et al., 2004).

3.2.3 A comparison between the HST and ALMA morphologies

The HST F140W images of our sample which trace the rest-frame optical emission (Fig. 8 and 9), reveal that only SHiZELS-9 has an apparently dual stellar core (the two cores have similar fluxes), which may be evidence of a major merger, or caused by a dust lane. SHiZELS-11 and -14 may both be undergoing or recently have undergone a minor merger event.

Spatial offsets between the rest-frame optical and FIR observations have been found in low and high-redshift (U)LIRGs (Charmandaris et al., 2004; Hodge et al., 2016). In Fig. 1 we see the spatial offsets and the overlap between the F140W and ALMA emission. For SHiZELS-9, the two major (rest-frame) VV-band cores present dust emission, while additional FIR emission comes from a region connecting to the third VV-band core. The VV-band flux distribution does not always follow the Hα\alpha or the dust morphology in our sample. A detailed study of spatially resolved dust extinction maps and the IRX-β\beta relation (the FIR and UV luminosity ratio versus the UV SED slope, Meurer et al., 1999) of our high-redshift star forming galaxies will be presented in a forthcoming paper.

The rest-frame UV images also show complex morphologies. Compared to the detected FIR emission from SHiZELS galaxies, the UV morphologies are extended and clumpy. For the ALMA non-detected galaxies, SHiZELS-10, -2, 3, and -21, the rest-frame UV and optical band images show compact cores at their centres (Fig. 9), evidencing compact UV star formation cores or regions of lower obscuration which is also found in the low-redshift low mass galaxies (Cheng et al., 2020). We see that z2.23z\simeq 2.23 galaxies display more compact rest-frame UV morphologies than the z1.47z\simeq 1.47 sample, which is consistent with previous studies (Paulino-Afonso et al., 2017).

We show the half-light radii of the F140W emission in the right panel of Fig. 7. The F140W radii (adopted from Gillman et al. (2019)) have typical effective radii of \sim 4.5 kpc, consistent with the typical size of the full HiZELS sample (Stott et al., 2013). Using the stellar masses for our targets to predict half-light radius based on the mass-size relation (Suess et al., 2019), we find that the size revealed by the F140W imaging are consistent with the predicted radius within 1σ\sigma. We also present the galaxy sample from Rujopakarn et al. (2016) composed of star-forming galaxies at redshift 2\sim 2, observed by ALMA (870 μ\mum, 1.3 mm) and VLA (5 cm) at 0.\aas@@fstack{\prime\prime}4, the Hα\alpha selected main sequence star-forming galaxies from Tadaki et al. (2017), the SMGs at redshift 2 observed by ALMA 870 μ\mum from Lang et al. (2019) , and the recent ALMA 870μ\mum observation results of the massive star-forming galaxies at redshift 2 (Tadaki et al., 2020). in the right panel of Fig. 7. Tadaki et al. (2017)’s sample of proposed elliptical progenitor galaxies has systematically smaller FIR size similar to other SMGs, suggesting the future formation of compact red cores. Our targets are roughly the largest galaxies in both rest-frame optical band and FIR radius. The large FIR radius indicate the stellar mass is assembling at a larger radius, thus our targets would evolve into massive disk galaxies.

4 Conclusion

We present high-resolution (0.250\aas@@fstack{\prime\prime}25) ALMA continuum observations (rest-frame 355μ\sim 355\mum) of nine star-forming galaxies at redshift 1.47 and 2.23, taken from the HiZELS survey. These galaxies have been observed with previous AO-aided IFU Hα\alpha spectroscopy and HST at similar resolution, facilitating a spatial exploration of the star formation at high-redshift at kpc scale resolution. Our sample comprises a population of star-forming galaxies at redshift 1.47 and 2.23, which are mainly ‘main sequence’ galaxies, and have Hα\alpha luminosities close to or below LHαL_{\rm H\alpha}^{*} at their redshift.

We detect four out of nine galaxies with ALMA. Their morphologies present extended faint structures, out to 16 kpc in diameter, much larger than the typical FIR size of sub-millimetre galaxies at high redshift. Our ALMA observations also reveal two serendipitous detections within the ALMA primary beams. Both of these are detected in previous optical and NIR surveys, located at different redshifts. For the ALMA non-detected galaxies, we find they mainly have either lower stellar masses (M<1010.5MM_{*}<10^{10.5}{\rm M_{\odot}}) and lower [N ii]/Hα\alpha<0.25<0.25 ratios, corresponding to 12+log(O/H) << 8.5.

The SFR derived from FIR and dust corrected Hα\alpha are consistent with each other within 1σ\sigma. However, the spatially resolved FIR and Hα\alpha morphologies do not show a similar distribution, implying a complex distribution of the ISM state in these galaxies. At least at \simkpc scales, the Hα\alpha emission do not show a clear spatial correlation with respect to the FIR emission. We find that the brightest Hα\alpha clumps, previously identified via AO-aided IFU spectroscopy, are not significantly spatially correlated with the dust continuum emission which traces the bulk of the ISM, which appears smooth.

Our sample of SHiZELS galaxies have a typical rest-frame FIR size twice larger than the SMGs at high-redshift, while the Hα\alpha emission size of our sample and SMGs are similar. The similarity between the extent of the dust continuum emission, and IR luminosities of our sample and the local star-forming disky galaxies is in line with our sample being drawn from the ‘normal’ star-forming galaxy population at z=1.5-2.2. The dust continuum emission in these systems is dominated by a cool extended component, while in more active galaxies such as SMGs, compact nuclear starbursts dominate the dust emission (Gullberg et al., 2019).

Acknowledgements

This paper benefited from a number of thoughtful comments made by the anonymous referee. C.C. appreciates useful comments from Dr. Wenda Zhang. This work is supported by the National Key R&D Program of China grant 2017YFA0402704. C.C. is supported by the National Natural Science Foundation of China (NSFC), No. 11803044, 11673028, and J.H. is supported by the NSFC, No. 11933003. E.I. acknowledges partial support from FONDECYT through grant N 1171710. SG acknowledges the support of the Science and Technology Facilities Council through grant ST/N50404X/1 and ST/L00075X/1. IRS acknowledges support from STFC (ST/T000244/1). PNB is grateful for support from STFC through grant ST/R000972/1. This work is sponsored in part by the Chinese Academy of Sciences (CAS), through a grant to the CAS South America Center for Astronomy (CASSACA) in Santiago, Chile. This work was supported by the National Science Foundation of China (11721303, 11991052) and the National Key R&D Program of China (2016YFA0400702). A.E. acknowledges partial support from the Center of Excellence in Astrophysics and Associated Technologies (AFB-170002) and FONDECYT Regular Grant 1181663. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2012.1.00402.S, ADS/JAO.ALMA#2013.1.01188.S, ADS/JAO.ALMA#2015.1.00026.S. ALMA is a partnership of ESO (representing its member states), NSF (USA) and NINS (Japan), together with NRC (Canada), MOST and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ. A work based on observations collected at the European Organisation for Astronomical Research in the Southern Hemisphere under ESO programmes 082.B-0300(A) and 092.A-0090(A). This research is based on observations made with the NASA/ESA Hubble Space Telescope obtained from 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 program 14719.

Data availability: The data underlying this article are available in http://almascience.nrao.edu/aq/ and https://archive.stsci.edu/index.html, and can be accessed with ALMA project ID: 2012.1.00402.S; 2013.1.01188.S; 2015.1.00026.S and HST proposal ID: 14719

References

  • Aihara et al. (2019) Aihara, H., AlSayyad, Y., Ando, M., et al. 2019, PASJ, 106
  • Armus et al. (2009) Armus, L., Mazzarella, J. M., Evans, A. S., et al. 2009, PASP, 121, 559
  • Beelen et al. (2006) Beelen, A., Cox, P., Benford, D., et al. 2006, ApJ, 642, 694
  • Boquien et al. (2016) Boquien, M., Kennicutt, R., Calzetti, D., et al. 2016, A&A, 591, A6.
  • Calura et al. (2017) Calura, F., Pozzi, F., Cresci, G., et al. 2017, MNRAS, 465, 54
  • Casasola et al. (2020) Casasola, V., Bianchi, S., De Vis, P., et al. 2020, A&A, 633, A100
  • Chabrier (2003) Chabrier, G. 2003, PASP, 115, 763
  • Charmandaris et al. (2004) Charmandaris, V., Le Floc’h, E., & Mirabel, I. F. 2004, ApJ, 600, L15
  • Chen et al. (2020) Chen, C.-C., Harrison, C. M., Smail, I., et al. 2020, A&A, 635, A119
  • Cheng et al. (2018) Cheng, C., Ibar, E., Hughes, T. M., et al. 2018, MNRAS, 475, 248
  • Cheng et al. (2020) Cheng, C., Xu, C. K., Xie, L., et al. 2020, A&A, 633, A105
  • Chu et al. (2017) Chu, J. K., Sanders, D. B., Larson, K. L., et al. 2017, ApJS, 229, 25
  • Clark et al. (2018) Clark, C. J. R., Verstocken, S., Bianchi, S., et al. 2018, A&A, 609, A37
  • Cochrane et al. (2017) Cochrane, R. K., Best, P. N., Sobral, D., et al. 2017, MNRAS, 469, 2913
  • Cochrane et al. (2018) Cochrane, R. K., Best, P. N., Sobral, D., et al. 2018, MNRAS, 475, 3730
  • da Cunha et al. (2008) da Cunha, E., Charlot, S., & Elbaz, D. 2008, MNRAS, 388, 1595
  • Curti et al. (2017) Curti, M., Cresci, G., Mannucci, F., et al. 2017, MNRAS, 465, 1384
  • Dale et al. (2005) Dale, D. A., Bendo, G. J., Engelbracht, C. W., et al. 2005, ApJ, 633, 857
  • Dale et al. (2007) Dale, D. A., Gil de Paz, A., Gordon, K. D., et al. 2007, ApJ, 655, 863
  • Downes & Solomon (1998) Downes, D. & Solomon, P. M. 1998, ApJ, 507, 615
  • Dudzevičiūtė et al. (2020) Dudzevičiūtė, U., Smail, I., Swinbank, A. M., et al. 2020, MNRAS, 494, 3828
  • Erb et al. (2006) Erb, D. K., Shapley, A. E., Pettini, M., et al. 2006, ApJ, 644, 813
  • Franceschini et al. (2003) Franceschini, A., Berta, S., Rigopoulou, D., et al. 2003, A&A, 403, 501
  • Förster Schreiber et al. (2006) Förster Schreiber, N. M., Genzel, R., Lehnert, M. D., et al. 2006, ApJ, 645, 1062
  • Förster Schreiber et al. (2009) Förster Schreiber, N. M., Genzel, R., Bouché, N., et al. 2009, ApJ, 706, 1364
  • Förster Schreiber et al. (2018) Förster Schreiber, N. M., Renzini, A., Mancini, C., et al. 2018, ApJS, 238, 21
  • Fujimoto et al. (2017) Fujimoto, S., Ouchi, M., Shibuya, T., & Nagai, H. 2017, ApJ, 850, 83
  • Genzel et al. (2006) Genzel, R., Tacconi, L. J., Eisenhauer, F., et al. 2006, Nature, 442, 786
  • Genzel et al. (2008) Genzel, R., Burkert, A., Bouché, N., et al. 2008, ApJ, 687, 59
  • Garn & Best (2010) Garn, T., & Best, P. N. 2010, MNRAS, 409, 421
  • Geach et al. (2008) Geach, J. E., Smail, I., Best, P. N., et al. 2008, MNRAS, 388, 1473
  • Gillman et al. (2019) Gillman, S., Swinbank, A. M., Tiley, A. L., et al. 2019, MNRAS, 486, 175
  • Gullberg et al. (2019) Gullberg, B., Smail, I., Swinbank, A. M., et al. 2019, MNRAS, 490, 4956
  • Hodge et al. (2016) Hodge, J. A., Swinbank, A. M., Simpson, J. M., et al. 2016, ApJ, 833, 103.
  • Hodge et al. (2019) Hodge, J. A., Smail, I., Walter, F., et al. 2019, ApJ, 876, 130
  • Hwang et al. (2010) Hwang, H. S., Elbaz, D., Magdis, G., et al. 2010, MNRAS, 409, 75
  • Ibar et al. (2013) Ibar, E., Sobral, D., Best, P. N., et al. 2013, MNRAS, 434, 3218
  • Ikarashi et al. (2015) Ikarashi, S., Ivison, R. J., Caputi, K. I., et al. 2015, ApJ, 810, 133
  • Katsianis et al. (2017) Katsianis, A., Blanc, G., Lagos, C. P., et al. 2017, MNRAS, 472, 919
  • Kennicutt (1998) Kennicutt, R. C. 1998, ARA&A, 36, 189
  • Kennicutt et al. (2003) Kennicutt, R. C., Jr., Armus, L., Bendo, G., et al. 2003, PASP, 115, 928
  • Kennicutt et al. (2011) Kennicutt, R. C., Calzetti, D., Aniano, G., et al. 2011, PASP, 123, 1347
  • Kennicutt et al. (2012) Kennicutt, R. C., Evans II, N. J. 2012, ARA&A, 50, 531
  • Kocevski et al. (2018) Kocevski, D. D., Hasinger, G., Brightman, M., et al. 2018, ApJS, 236, 48
  • Koyama et al. (2019) Koyama, Y., Shimakawa, R., Yamamura, I., et al. 2019, PASJ, 71, 8
  • Lang et al. (2019) Lang, P., Schinnerer, E., Smail, I., et al. 2019, ApJ, 879, 54
  • Lawrence et al. (2007) Lawrence, A., Warren, S. J., Almaini, O., et al. 2007, MNRAS, 379, 1599
  • Leroy et al. (2008) Leroy, A. K., Walter, F., Brinks, E., et al. 2008, AJ, 136, 2782
  • Liang et al. (2019) Liang, L., Feldmann, R., Kereš, D., et al. 2019, MNRAS, 489, 1397
  • Ma & Yan (2015) Ma, Z., & Yan, H. 2015, ApJ, 811, 58
  • Magdis et al. (2012) Magdis, G. E., Daddi, E., Béthermin, M., et al. 2012, ApJ, 760, 6
  • Mehta et al. (2018) Mehta, V., Scarlata, C., Capak, P., et al. 2018, ApJS, 235, 36
  • Meurer et al. (1999) Meurer, G. R., Heckman, T. M., & Calzetti, D. 1999, ApJ, 521, 64
  • Molina et al. (2017) Molina, J., Ibar, E., Swinbank, A. M., et al. 2017, MNRAS, 466, 892
  • Molina et al. (2019) Molina, J., Ibar, E., Smail, I., et al. 2019, MNRAS, 487, 4856
  • Mosenkov et al. (2019) Mosenkov, A. V., Baes, M., Bianchi, S., et al. 2019, A&A, 622, A132
  • Nelson et al. (2019) Nelson, E. J., Tadaki, Ken-ichi, Tacconi, L. J., et al. 2019, ApJ, 870, 130
  • Oteo et al. (2015) Oteo, I., Sobral, D., Ivison, R. J., et al. 2015, MNRAS, 452, 2018
  • Oteo et al. (2017) Oteo, I., Smail, I., Hughes, T., et al. 2017, arXiv e-prints , arXiv:1707.05329.
  • Paulino-Afonso et al. (2017) Paulino-Afonso, A., Sobral, D., Buitrago, F., et al. 2017, MNRAS, 465, 2717
  • Pettini & Pagel (2004) Pettini, M., & Pagel, B. E. J. 2004, MNRAS, 348, L59
  • Qin et al. (2019) Qin, J., Zheng, X. Z., Wuyts, S., et al. 2019, ApJ, 886, 28
  • Rujopakarn et al. (2016) Rujopakarn, W., Dunlop, J. S., Rieke, G. H., et al. 2016, ApJ, 833, 12
  • Rujopakarn et al. (2019) Rujopakarn, W., Daddi, E., Rieke, G. H., et al. 2019, ApJ, 882, 107
  • Scoville et al. (2007) Scoville, N., Aussel, H., Brusa, M., et al. 2007, ApJS, 172, 1
  • Scoville et al. (2016) Scoville, N., Sheth, K., Aussel, H., et al. 2016, ApJ, 820, 83
  • Shapiro et al. (2008) Shapiro, K. L., Genzel, R., Förster Schreiber, N. M., et al. 2008, ApJ, 682, 231
  • Simpson et al. (2006) Simpson, C., Martínez-Sansigre, A., Rawlings, S., et al. 2006, MNRAS, 372, 741
  • Simpson et al. (2015) Simpson, J. M., Smail, I., Swinbank, A. M., et al. 2015, ApJ, 799, 81
  • Sobral et al. (2012) Sobral D., Best P. N., Matsuda Y., Smail I., Geach J. E., Cirasuolo M., 2012, MNRAS, 420, 1926
  • Sobral et al. (2013) Sobral D., Smail I., Best P. N., Geach J. E., Matsuda Y., Stott J. P., Cirasuolo M., Kurk J., 2013, MNRAS, 428, 1128
  • Sobral et al. (2014) Sobral, D., Best, P. N., Smail, I., et al. 2014, MNRAS, 437, 3516
  • Sobral et al. (2015) Sobral D. et al., 2015, MNRAS, 451, 2303
  • Sobral & Matthee (2019) Sobral, D., & Matthee, J. 2019, A&A, 623, A157
  • Solomon et al. (1997) Solomon, P. M., Downes, D., Radford, S. J. E., et al. 1997, ApJ, 478, 144
  • Stott et al. (2013) Stott, J. P., Sobral, D., Smail, I., et al. 2013, MNRAS, 430, 1158
  • Strom et al. (2017) Strom, A. L., Steidel, C. C., Rudie, G. C., et al. 2017, ApJ, 836, 164
  • Suess et al. (2019) Suess, K. A., Kriek, M., Price, S. H., et al. 2019, ApJ, 877, 103
  • Swinbank et al. (2004) Swinbank, A. M., Smail, I., Chapman, S. C., et al. 2004, ApJ, 617, 64
  • Swinbank et al. (2006) Swinbank, A. M., Chapman, S. C., Smail, I., et al. 2006, MNRAS, 371, 465
  • Swinbank et al. (2012a) Swinbank, A. M., Sobral, D., Smail, I., et al. 2012a, MNRAS, 426, 935
  • Swinbank et al. (2012b) Swinbank, A. M., Smail, I., Sobral, D., et al. 2012b, ApJ, 760, 130
  • Tadaki et al. (2017) Tadaki, Ken-ichi, Genzel, R., Kodama, T., et al. 2017, ApJ, 834, 135
  • Tadaki et al. (2020) Tadaki, Ken-ichi, Belli, S., Burkert, A., et al. 2020, arXiv:2009.01976
  • Thomson et al. (2017) Thomson, A. P., Simpson, J. M., Smail, I., et al. 2017, ApJ, 838, 119
  • Ueda et al. (2008) Ueda, Y., Watson, M. G., Stewart, I. M., et al. 2008, ApJS, 179, 124
  • Yan & Ma (2016) Yan, H., & Ma, Z.  2016, ApJ, 820, 16

Appendix A Stamp images of ALMA-HiZELS targets

We present the HST, VLT/SINFONI, and ALMA images in Fig. 8 and Fig. 9.

Refer to caption
Figure 8: Postage stamp (30 kpc ×\times 30 kpc) images for the SHiZELS galaxies presented in this work. From left to right images: HST F140W, HST F606W, VLT/SINFONI Hα\alpha moment-0, Briggs weighting (robust=0.5) ALMA continuum at 355μ\sim 355\mum rest-frame, and tapered ALMA image (synthesised beam of 1′′\sim 1^{\prime\prime}) to highlight extended emission. The image shows the complexity of the different phases of the ISM in these high-redshift galaxies
Refer to caption
Figure 9: Same as Fig. 8, but for the undetected ALMA continuum sources.

Appendix B Dust surface brightness profiles

We derive the dust continuum surface brightness profile by using the peak flux pixel as the centres of the tapered ALMA images. Then we perform aperture photometry by using a series of ring apertures in steps of 0.250\aas@@fstack{\prime\prime}25 (similar to the synthesised beam) in the natural-weighted ALMA images. Then we derive the surface brightness in each annulus for all of the four ALMA-detected galaxies, and show the results in Fig. 10. We also show the surface brightness profile of the ALMA synthesised beam, normalised to the maximum value for each source in Fig. 10. We fit the ALMA surface brightness profile with a Sersic function, and present the results in each panel. Sersic indices n of the ALMA images are lower than n=2n=2, implying a disk-like morphology of the dust emission. Based on the aperture photometry in each apertures, we also obtained the flux growth curve of each ALMA-detected galaxy, and derive the half-light radius in Tab. 2.

Refer to caption
Refer to caption
Refer to caption
Refer to caption
Figure 10: The rest-frame 355μm355\,\mu m surface brightness profile of the ALMA-detected galaxies. The interval of each aperture annuli is 0.250\aas@@fstack{\prime\prime}25 with the aperture cantered at the peak pixel of the ALMA-tapered images. The green dotted line shows the surface brightness profile of the ALMA synthesised beam. We can see that continuum emission extends up to typically 2′′\sim 2^{\prime\prime}, i.e. about 16 kpc in diameter. The blue lines are the Sersic function fitting results. We denote the fitting results in each panel.

Appendix C ALMA non-detected targets

C.1 Individual properties

  • SHiZELS-21, also known as UDS-10 in Molina et al. (2017). This galaxy is a compact rotating galaxy. The Hα\alpha velocity dispersion profile is double peaked at about 1.51.5 kpc from the galaxy center. The HST F606W image shows a double UV core structure which is barely resolved in the F140W image.

  • SHiZELS-8: This galaxy is dominated by rotation and present clumpy features (Swinbank et al., 2012a; Gillman et al., 2019). None of the three Hα\alpha clumps is detected by ALMA. Its metallicity is relatively low (12+log(O/H)<8.312+\log(\rm O/H)<8.3) and the metallicity gradient is flat (Swinbank et al., 2012a). A simple dynamical description using carbon monoxide is presented by Molina et al. (2019). The HST F606W image shows an extended UV morphology, while the F140W image shows a compact core in the galaxy. The clumpy structures seen in the Hα\alpha map are not recovered by the F606W image.

  • SHiZELS-10: This galaxy is compact in Hα\alpha (\sim 2.3 kpc) and identified as a merger (Swinbank et al., 2012a; Gillman et al., 2019). The ALMA continuum emission is undetected, probably due to limitations in the surface brightness. On the other hand, the HST F140W, F606W and the VLT/SINFONI images show a good spatial consistency with bright dots and a long tail.

  • SHiZELS-2: The Hα\alpha IFU observations evidence a clear rotation curve, including two clumps at the centre with a separation of 0.20\aas@@fstack{\prime\prime}2 (about 1.5 kpc Gillman et al., 2019). The fainter clump locates in the rotation center. The orientation of the HST morphology is similar to that revealed by rotation in Hα\alpha. The HST images show a compact stellar and star formation distribution. The HST F606W image also shows that the star formation in the galaxy center is bright in rest-frame UV (Gillman et al., 2019).

  • SHiZELS-3: The Hα\alpha velocity map shows a clear rotation feature, while the velocity dispersion map shows two peaks separated by \sim2.5 kpc, suggesting a complex dynamics probably associated to merging activity (Gillman et al., 2019). HST images show that the stellar mass and rest-frame UV star formation morphologies are compact.

C.2 Stacking analyses

In this appendix we explore the possibility to extract information from the non-detected sources via a stacking approach. To do this, we stack the ALMA tapered image which are generated at 1.01\aas@@fstack{\prime\prime}0 resolution. We generate postage stamps (of 8′′×8′′8^{\prime\prime}\times 8^{\prime\prime}) for each ALMA continuum image, centred at the optical RA and Dec., to stack them based on median and average statistics (see Fig. 11). We reach rms values from 3.5 to 5.5 μ\muJy beam-1 in these stacks. At z=1.47z=1.47, we detected three galaxies out of five, and both the average and median show a significant emission at the image centre. For the z=2.23z=2.23 population, only one out of four targets is detected, hence the clear detection in the mean stack is clearly biased by the brightest galaxy. This significant detection disappears when we look at the median estimate. We also combined all non-detections together (mixing z=1.47z=1.47 and 2.23 galaxies) in the right panels of Fig. 11.

To estimate the significance of the stacks of non-detected ALMA images, we use a peak to noise criterion. The peak values are obtained from a 2-D Gaussian profile using a fixed centre and fixed width (FWHM) at 1′′ (assuming point like detections). We measure the peak flux densities of 12.7 μ\muJy beam-1 for the mean stacked image, and 13.1 μ\muJy beam-1 for the median one. Comparing these values with the background noise, these peaks are only at \sim3σ\sigma significance. We consider these stacks as non-detections.

Based on the rest-frame frequencies for these stack measurements, and considering the Rayleigh–Jeans tail (at 850μ\mum flux; Equ. 16 in Scoville et al., 2016), we can derive global ISM mass limits for our SHiZELS targets. Considering median stacks, and 5σ\sigma upper limits for the z=2.23z=2.23 population, we derive ISM masses of log(MISM/M)=9.5\log(M_{\rm ISM}/M_{\odot})=9.5 at z=1.47z=1.47 and log(MISM/M)<9.2\log(M_{\rm ISM}/M_{\odot})<9.2 at z=2.23z=2.23.

Refer to caption
Figure 11: Postage stamps (8′′×8′′8^{\prime\prime}\times 8^{\prime\prime}) for the stacked continuum tapered (FWHM =1′′=1^{\prime\prime}) ALMA images. Upper and lower panels are the median and average stacks. From left to right are the stacks for different populations: all sources, only z=1.47z=1.47, only z=2.23z=2.23, all non-detected images (mixing galaxies at z=1.47z=1.47 at z=2.23z=2.23).

Appendix D Serendipitous ALMA detection

In this appendix, we briefly characterise the properties of the serendipitous galaxies SHiZELS7-ID2 and SHiZELS10-ID2. Both sources have been identified in the Multi-wavelength Photometric Catalog of the Spitzer Large Area Survey with Hyper-Suprime-Cam (SPLASH) in the Subaru XMM-Newton Deep Field (SXDF) (Mehta et al., 2018). SHiZELS10-ID2 presents a spectroscopic redshift at zspec=1.126z_{\rm spec}=1.126 while SHiZELS7-ID2 only has a photometric redshift estimate at zphot=2.03z_{\rm phot}=2.03. In Fig. 12 we show the ALMA continuum 355 μ\mum rest-frame contours on top of a fake colour optical image. The ALMA flux densities are considered for a SED fitting approach including U,G,R,I,Z,Y,J,H,KsU,G,R,I,Z,Y,J,H,Ks photometric bands taken from Mehta et al. (2018). We derive the stellar mass by MAGPHYS and the properties of these two targets are presented in Table 4 and Fig. 12. Considering the ALMA flux, our stellar masses are consistent with the previous results within 0.5 dex. More properties of these two targets can be found in Mehta et al. (2018).

Table 4: Properties of the serendipitous ALMA detections found in the field of view of the SHiZELS galaxies presented in this work.
ID ID RA (J2000) Dec (J2000) Redshift ALMA flux (mJy) log(M/M)\log(M_{*}/M_{\odot}) log(M/M)\log(M_{*}/M_{\odot})
From Mehta et al. (2018) 873μ\mum By MAGPHYS From Mehta et al. (2018)
SHiZELS10-ID2 954698 02:17:39.261 -4:44:42.33 zspec=1.126z_{\rm spec}=1.126 0.20 ±\pm 0.03 10.4 ±\pm 0.1 10.2
SHiZELS7-ID2 874393 02:16:59.969 -5:01:53.49 zphot=2.033±0.045z_{\rm phot}=2.033\pm 0.045 0.32 ±\pm 0.03 10.3 ±\pm 0.1 10.6
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Figure 12: Left panels: Fake color image (blue for F606W and red for F140W) with ALMA contour (3, 4, 5, 6, 7 ×\timesrms). Right panels: Redshifts and SEDs taken from Mehta et al. (2018) as well as our new ALMA observations are shown in red dots. We fit the SED using MAGPHYS (da Cunha et al., 2008). The initial stellar spectra are shown in blue lines, and the model SED after considering the dust extinction are shown in black lines.