ALMA 200 pc Resolution Imaging of Smooth Cold Dusty Disks in Typical z ∼ 3 Star-forming Galaxies

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Published 2019 September 9 © 2019. The American Astronomical Society. All rights reserved.
, , Citation W. Rujopakarn et al 2019 ApJ 882 107 DOI 10.3847/1538-4357/ab3791

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0004-637X/882/2/107

Abstract

We present high-fidelity, 30 mas (200 pc) resolution ALMA rest-frame 240 μm observations of cold dust emission in three typical main-sequence star-forming galaxies (SFGs) at z ∼ 3 in the Hubble Ultra-Deep Field (HUDF). The cold dust is distributed within the smooth disklike central regions of star formation 1–3 kpc in diameter, despite their complex and disturbed rest-frame UV and optical morphologies. No dust substructures or clumps are seen down to ≃1–3 ${M}_{\odot }$ yr−1 (1σ) per 200 pc beam. No dust emission is observed at the locations of UV-emitting clumps, which lie ≃2–10 kpc from the bulk of star formation. Clumpy substructures can contribute no more than 1%–7% of the total star formation in these galaxies (3σ upper limits). The lack of star-forming substructures in our HUDF galaxies is to be contrasted with the multiple substructures characteristic of submillimeter-selected galaxies (SMGs) at the same cosmic epoch, particularly the far-IR-bright SMGs with similarly high-fidelity ALMA observations of Hodge et al. Individual star-forming substructures in these SMGs contain ∼10%–30% of their total star formation. A substructure in these SMGs is often comparably bright in the far-infrared to (or in some cases brighter than) our typical SFGs, suggesting that these SMGs originate from a class of disruptive events involving multiple objects at the scale of our HUDF galaxies. The scale of the disruptive event found in our main-sequence SFGs, characterized by the lack of star-forming substructures at our resolution and sensitivity, could be less violent, e.g., gas-rich disk instability or minor mergers.

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1. Introduction

A key achievement in the past two decades has been the progress in understanding the evolution of the spatially integrated properties of galaxies across cosmic time. The cosmic histories of the star formation rate (SFR), stellar mass buildup, and massive black hole accretion have been constrained out to the epoch of reionization (e.g., Heckman & Best 2014; Madau & Dickinson 2014; Grazian et al. 2015). With appropriate sets of parameters, models of galaxy evolution can reproduce these histories as well as the general properties of today's galaxies (e.g., Behroozi et al. 2013; Schaye et al. 2015; Somerville & Davé 2015; Springel et al. 2018). However, many of the most fundamental processes are not well understood, especially down to subgalactic scales, where pressing frontier questions in galaxy evolution lie: how did galactic spheroids form? How did galaxies and their supermassive black holes coevolve?

There is a broad consensus that galaxies assemble most of their stellar mass via the accretion of cold gas, which leads to gas-rich, unstable disks and in situ disk-wide star formation ("cold-mode" accretion; Noguchi 1999; Immeli et al. 2004; Kereš et al. 2005; Bournaud et al. 2007; Dekel et al. 2009; Ceverino et al. 2010; Inoue et al. 2016). Multiple lines of evidence support this consensus, such as the relationship between star formation and stellar mass at z ∼ 0–6 (the "main sequence"; e.g., Brinchmann et al. 2004; Noeske et al. 2007; Salim et al. 2007; Wuyts et al. 2011; Whitaker et al. 2012; Speagle et al. 2014; Salmon et al. 2015; Schreiber et al. 2015) and the rarity of compact starbursts at z ∼ 2 as indicated by the distribution of specific star formation rates (sSFR) and of the infrared colors (Elbaz et al. 2011; Rodighiero et al. 2011). Observations of individual z ∼ 1–3 galaxies provide further support. Spatially resolved kinematic observations show that typical star-forming galaxies15 are isolated (i.e., not undergoing major mergers), rotation-dominated systems (e.g., Förster Schreiber et al. 2009; Wisnioski et al. 2015; Stott et al. 2016). Dust-independent, subarcsecond radio continuum imaging and stacking further reveal that typical SFGs have intensely star-forming regions a few kiloparsec in diameter (Lindroos et al. 2016; Rujopakarn et al. 2016), comparable to the typical sizes of massive galaxies at the same epoch, despite forming stars at rates only achievable in the local universe in the compact nuclei of galaxy mergers (e.g., Muxlow et al. 2005; Rujopakarn et al. 2011). These observations suggest that we are on the right track toward understanding how typical massive galaxies were assembled.

A key prediction from simulations of star formation being fed by cold-mode accretion is the fragmentation of the disk and the emergence of star-forming clumps. The inward migration of these clumps is an integral part of the bulge formation scenario (e.g., Bournaud et al. 2007; Agertz et al. 2009; Dekel et al. 2009; Ceverino et al. 2010; Mandelker et al. 2014) and could be an intermediary regulating the bulge–SMBH relationship (Martig et al. 2009; Gabor & Bournaud 2013). Clumpy star formation in the formative era may also explain the bimodality in α-abundance and metallicity ([α/Fe] versus [Fe/H]) in the Milky Way (Clarke et al. 2019). To play a significant role in bulge and galaxy assembly, clumps have to survive radiative and mechanical feedback long enough to accrete fresh fuel and migrate; simulations disagree whether this is possible (for both sides of the argument, see, e.g., Genel et al. 2012; Bournaud et al. 2014).

When rest-frame UV images from the Hubble Space Telescope (HST) revealed irregular morphologies in z ∼ 1–3 galaxies, suggesting the detection of the predicted star-forming clumps, there was a flurry of studies in the context of bulge formation (Cowie et al. 1995; van den Bergh et al. 1996; Conselice 2003; Elmegreen & Elmegreen 2005). These UV-bright star-forming clumps are ubiquitous features in z ∼ 1–3 galaxies. They appear to be ∼1 kpc in size, contain 108–109 ${M}_{\odot }$ of stellar mass, form stars at 1–30 ${M}_{\odot }$ yr−1, and reside in kinematically ordered systems. Their size, mass, SFRs, and age gradients are broadly consistent with the clump-driven bulge formation scenario (Elmegreen et al. 2007, 2009a, 2009b; Bournaud et al. 2008; Genzel et al. 2008, 2011; Förster Schreiber et al. 2011; Guo et al. 2012, 2015, 2018; Livermore et al. 2012, 2015; Wisnioski et al. 2012; Menéndez-Delmestre et al. 2013; Soto et al. 2017). However, it has gradually become apparent that the UV clumps only contain ≲5%–20% of the total star formation in SFGs at z ∼ 2 (e.g., Wuyts et al. 2012; Soto et al. 2017; Guo et al. 2018). These clumps are conspicuously absent from deep subarcsecond Atacama Large Millimeter/submillimeter Array (ALMA) and Karl G. Jansky Very Large Array (VLA) images of massive main-sequence SFGs. Rujopakarn et al. (2016) showed that the UV-selected clumps are often peripheral to the central region of star formation, which is dust obscured and can only be traced with extinction-independent imaging at longer wavelengths. Cibinel et al. (2017) conducted sensitive CO (5−4) observations of the archetypal clumpy galaxy UDF 6462 (Bournaud et al. 2008) and found that no more than 3% of the total molecular gas in the galaxy can be in each clump, with most of the cold gas residing in the central star-forming region. That is, the UV-selected clumps do not appear to be the dominant star-forming clumps predicted by theory. Either the predicted star-forming clumps reside in the heavily obscured regions around the nuclei and close to the bulk of star formation, or our picture of clump-facilitated bulge assembly may need to be rethought.

The central regions that dominate the star formation in typical massive SFGs at z ∼ 2 are ≃4–5 kpc in diameter (Lindroos et al. 2016; Rujopakarn et al. 2016). Those of starburst galaxies (i.e., those with sSFR above the scatter of the main sequence) and SMGs are smaller, ≃1–2 kpc in diameter (Ikarashi et al. 2015; Simpson et al. 2015). Even for typical massive SFGs, these regions are so dusty that all but ∼1% of the star formation is obscured in the UV (Dunlop et al. 2017). For SMGs, very high obscuration, AV ∼ 100 mag toward the center, is not uncommon (Simpson et al. 2017). Probing the structure of these regions requires an extinction-independent tracer of star formation that is capable of subkiloparsec resolution. Major progress in dissecting these regions is being made by (1) sub/millimeter observations of gravitationally lensed galaxies (often SMGs; e.g., ALMA Partnership et al. 2015; Dye et al. 2015; Swinbank et al. 2015; Tamura et al. 2015), and (2) exploiting the resolution and sensitivity of ALMA on field galaxies (e.g., Hodge et al. 2016; Iono et al. 2016; Oteo et al. 2017; Gullberg et al. 2018; Tadaki et al. 2018; Hodge et al. 2019).

For different reasons, both approaches often capture SFGs far more luminous than the typical population. First, the lens selection at sub/millimeter wavelengths tends to favor luminous SFGs at z ≳ 2–4, due to the efficient lens selection at bright far-IR fluxes and the negative K-correction at higher redshifts (Negrello et al. 2017). Second, directly studying unlensed galaxies requires a significant investment of ALMA time. Hence, the early efforts were made (reasonably) on some of the most luminous SFGs. Examples are the ≃10–100 mas studies of SMGs forming stars at 1300–2800 ${M}_{\odot }$ yr−1 by Iono et al. (2016) and of less luminous SMGs by Hodge et al. (2016, 2019) and Gullberg et al. (2018). These heroic efforts at the high-resolution frontier start to venture into the regime of typical SFGs at z ∼ 3. Yet, while these SMGs are ≳2–5 times brighter in the far-IR than typical SFGs, interferometric imaging at low-to-moderate signal-to-noise ratios (S/Ns) often results in levels of noise that could be mistaken for structure in a smooth disk, hampering the confidence in confirming or ruling out substructures (Hodge et al. 2016; Gullberg et al. 2018). An even larger ALMA time investment is required for the high-fidelity imaging needed to confirm (or definitively rule out) the presence of clumps. The challenge is even greater to conduct such a search in typical SFGs at z ∼ 1–3 where most of the stellar mass in the universe formed.

In this paper, we present unprecedentedly sensitive, 30 mas resolution ALMA 870 μm dust continuum observations of three typical SFGs at z ∼ 3, selected from the Hubble Ultra-Deep Field (HUDF) and all fitting within a single ALMA primary beam. These images reveal the structure of their obscured star formation at high fidelity. We describe the observations and data reduction in Section 2, present results in Section 3, and put our results in the observational and theoretical context in Section 4. We adopt a ΛCDM cosmology with ΩM = 0.3, ΩΛ = 0.7, and H0 = 70 km s−1 Mpc−1. At z = 3, 1'' then corresponds to 7.702 kpc. The Chabrier (2003) initial mass function (IMF) is adopted throughout the paper.

2. Observations and Data Reduction

The three galaxies in this sample were selected from the ALMA HUDF Survey at 1.3 mm (Dunlop et al. 2017). This survey effectively provides an unbiased selection by stellar mass (M*) at intermediate redshift, as is evident from the finding by Dunlop et al. (2017) that they detect seven out of nine galaxies in the HUDF that have M* ≥ 2 × 1010 ${M}_{\odot }$ at z > 2. The native, untapered sensitivity of the survey, 29 μJy beam−1 rms, reaches down to the SFR level of the main sequence; all but one of the 16 galaxies detected in the survey lie within the scatter of the main sequence at their corresponding redshifts (Dunlop et al. 2017; Elbaz et al. 2018). Although the number of sources is modest, the sample is representative of typical SFGs at z ∼ 2 undergoing rapid assembly. In the northeast corner of the field lies a fortuitous constellation of three galaxies—UDF1, UDF2, and UDF7 in the Dunlop et al. (2017) nomenclature—that can fit within the 17'' primary beam of ALMA at 345 GHz. This affords high-fidelity imaging of three typical SFGs in one 5 hr single-pointing ALMA observation, which we will describe in this section.

2.1. ALMA Observations

The ALMA observations were taken in four observing blocks during 2017 November 23–24 as part of Cycle 5 program #2017.1.00001.S. We used the ALMA Band 7 receivers in the single-continuum mode, tuned to a central frequency of 343.5 GHz. Individual spectral windows (SPWs) were centered between 336.5 and 350.5 GHz; each SPW comprises 128 channels and covers 1875 MHz, resulting in 7.5 GHz of aggregate bandwidth. The single pointing is centered on UDF2: R.A. = 3h32m43fs53, decl. = −27°46'39farcs28 (International Celestial Reference System; ICRS). At this frequency, the primary beam FWHM is 17farcs4. This affords good sensitivity at the positions of UDF1 and UDF7, which are 7farcs4 and 8farcs2 from the phase center, at which radii the primary beam attenuation correction factors are 0.61 and 0.54, respectively. The observations were carried out using 43 antennas in an extended configuration with baselines ranging from 92 to 8548 m with the 5th and 80th percentile baseline lengths of L5 = 296 m and L80 = 3366 m, respectively. Following the ALMA Technical Handbook, the maximum recoverable scale, θMRS ≈ 0.983λ/L5 (rad), is 0farcs60 for the array. This is considerably larger than the extent of the dust emission of the targets at 1.3 mm, 0farcs1–0farcs5 (FWHM), based on earlier ALMA observations (Rujopakarn et al. 2016, 2018). Likewise, the nominal resolution of the array, θres ≈ 0.574λ/L80 (rad), is 31 mas, corresponding to 240 pc at z = 3.

Each of the four observing blocks was 78 min in duration, with 48 min being on source. The calibrators were J0522−3627 for bandpass and flux density scale calibrations, J0348−2749 for phase, and J0329−2357 and J0522−3627 for pointing. The precipitable water vapor was 0.4–0.6 mm during the observations. In total, the observations took 5.2 hr, with 3.2 hr being on-source integration.

2.2. ALMA Data Calibration and Imaging

We processed the raw visibilities using the ALMA calibration pipeline in CASA (version 5.1.1–5) and imaged the calibrated visibilities with the CASA task tclean. We found deconvolution (i.e., application of the CLEAN algorithm) to be necessary to mitigate the sidelobes from the sources because they are detected at peak S/Ns as high as 40σ–50σ. We experimented extensively with the parameters in tclean. The resulting images are insensitive to whether source masking is employed during deconvolution. No artifacts are observed in sources near the primary beam edge. Considering their large separations from the phase center, we further experimented with the wproject gridder to take into account the noncoplanar baseline effect (the w term), but found no significant improvement between the gridder choice of standard versus wproject with wprojplanes of up to 1024. The flux distribution of UDF1, near the edge of the primary beam, is virtually identical, and the peak flux only differs by 1% between the images produced with the standard gridder and one with 1024 wprojplanes. Additionally, the tclean task converged consistently independent of the choices of niter or threshold. Overall, the resulting images produced from pipeline-calibrated data are of excellent quality, with no image artifacts that would indicate data or calibration issues.

However, a closer inspection reveals that the small-scale structures within individual galaxies do depend on two areas of the imaging parameters. First, the choice of weighting scheme assigned to the visibility points controls the synthesized beam shape and sensitivity of the image. In CASA, the imaging weight is implemented as the robust parameter of the tclean task, ranging from −2 (uniform weight, smaller beam, lower sensitivity) to +2 (natural weight, larger beam, higher sensitivity), with 0.0 to 0.5 being the commonly adopted value range. Natural weighting (or larger robust setting) produces a larger synthesized beam, i.e., a spatially broader distribution of flux for a given fiducial sky intensity distribution. In our case, the natural-weight, untapered beam is 58 × 46 mas, whereas robust = 0.5 produces a beam that is 42 × 30 mas. This difference affects image-based measurement of morphological properties, such as the decomposition of the bulge and disk components using 2D functional fitting as is commonly employed in optical studies, especially when the component of interest has a similar intrinsic size to the beam.

Another, perhaps more subtle, imaging procedure that affects source structure is the multiscale deconvolution (Cornwell 2008; Rau & Cornwell 2011), which is necessary to deconvolve extended sources such as our targets. Multiscale deconvolution, by design, attributes flux to successive, yet discrete, scales. Inevitably, the algorithm preferentially attributes flux to the adopted scales (and further influenced by the smallscalebias parameter that can be manually tuned to give more weight to smaller scales). In the example of UDF2, we find that the multiscale-cleaned image employing a set of deconvolution scales of 0 (point source), 5, and 15 pixels has 10% lower peak flux and excess flux at the 15 pixel scale, effectively broadening the central component of the source. In this particular situation, the residual image does not necessarily reflect the goodness of fit, because deep cleaning (i.e., very large niter) can arbitrarily move residual flux into cleaned components. This affects the image-based structural parameter measurements (e.g., effective radius and Sérsic index). Because the fiducial structure of the target is not known a priori to allow an informed choice of deconvolution scales, and because both single-scale and multiscale images are faithful representations of the inverse Fourier transform of the interferometric visibilities (as are an infinite number of other images), this poses a dilemma as to which image is a better representation of the true morphology.

We reiterate that the CASA-produced images contain no imaging artifacts and exhibit a clean background noise image, characteristics of high-quality data and calibration. The final CASA image was made with a cell size of 6 mas (i.e., covering the 30 mas synthesized beam with five resolution elements to aid deconvolution), Briggs weighting with the robust parameter of 0.5, MFS spectral definition mode, and the Högbom minor cycle algorithm. The primary beam attenuation correction is done with tclean during this step. The final image has a synthesized beam FWHM of 42 × 30 mas, corresponding to 320 × 230 pc at z = 3 with a position angle of 77fdg8. The noise in source-free regions near the phase center of the image is well fit by a Gaussian with an rms of 11 μJy beam−1.

2.3. ALMA Visibility-based Data Analysis

Even if we contend with the mild dependence of source structure on the choice of imaging and deconvolution methodology, an inherent limitation of the image-plane analysis is that information from baselines longer than those corresponding to the native synthesized beam (i.e., the median synthesized beam from the entire array) is not fully utilized. Therefore, we opt to carry out quantitative structural analysis in the uv plane.

We carried out the uv-based morphological analysis using GILDAS (version jul18a, with a modification to fit an arbitrary number of model components). The calibrated visibilities (Section 2.2) were spectrally and temporally averaged, then exported from CASA and imported to GILDAS using the exportuvfits and fits_to_uvt tasks, respectively. The four spectral windows were then combined using the uv_average and uv_merge tasks. We fitted source models to the visibilities using the task uv_fit, fitting all components of all three galaxies simultaneously, and subtracted the models from the data. Combinations of models in a successive progression of complexity were considered, going from a point source, to circular Gaussian, to elliptical Gaussian, until the residual image no longer contained significant peaks or negative regions ≳3σ.

We allow all parameters to be free (i.e., no parameter fixing) in the modeling. For example, free parameters of elliptical Gaussian models were the centroid, flux, major/minor axes, and position angle. While this analysis is not susceptible to imaging parameters and has the potential to utilize information from the longest baselines, the lack of a priori knowledge of the source model remains. That the final residual image contains no perceivable subtraction artifacts and has rms noise of 10 μJy beam−1, consistent with that of the source-free region near the phase center of the tclean image from CASA, suggests that the models provide a good fit to the sources. Lastly, as CASA produces a more accurate primary beam attenuation model, we use the primary beam information from tclean to correct the flux estimates from the uv fit.

We note that no common software platform (e.g., CASA, GILDAS, AIPS, MIRIAD) currently supports fitting with the Sérsic profile (fitting with fixed exponential profile is supported by UVMULTIFIT and GILDAS; a thorough discussion of profiles supported by each software package in the uv-plane modeling is given by Martí-Vidal et al. 2014). This is primarily because there is no analytical Fourier transform of the Sérsic profile. Nevertheless, Hogg & Lang (2013) have shown that a linear superposition of Gaussians ("mixture-of-Gaussian" in the Hogg & Lang nomenclature) can accurately describe the commonly adopted brightness profile of galaxies, including the de Vaucouleurs and Sérsic profiles (Hogg & Lang 2013 and references therein). In effect, this allows a Sérsic-like profile to be represented analytically and modeled in the uv plane. We found that good fits were obtained with two nested Gaussians (in one case by one Gaussian and a point-spread function) and verified that these fits follow closely the behavior of Sérsic profiles over an order of magnitude of dynamic range.

2.4. ALMA Astrometric Accuracy and Source Morphology Fidelity

To study source morphologies at tens of milliarcseconds and compare them to multiwavelength images, it is vital to establish that ALMA's astrometry is accurate and that the morphology of the source is robust against interferometric artifacts. The astrometric accuracy depends primarily on (1) the S/N of the source in addition to (2) the quality of phase referencing and the positional uncertainty of the phase calibrator. According to the ALMA Technical Handbook, the theoretical astrometric accuracy at a given observing frequency, maximum baseline length, and S/N is Δp = 60 mas × (100 GHz/νobs× (10 km/Bmax)/S/N, which, for νobs of 343 GHz, Bmax of 8.5 km, and S/N ≥ 20, typical for our observations, is about 1.0 mas. This is already below the accuracy floor achievable with the standard calibration routine, which is 1.4 mas for 350 GHz observations with a baseline of 7.5 km (ALMA Technical Handbook and references therein). Because the phase calibrator, J0348−2749, is tied to the International Celestial Reference Frame (ICRF) to within 0.1 mas (ALMA Calibrator Source Catalog), the standard calibration noise floor dominates the absolute astrometric uncertainties. To confirm the quality of phase referencing and calibrations independently, we measured the positional offset of the "check source" that is observed as a part of each schedule block, J0336−2644, by fitting a circular Gaussian source model to the visibilities using the procedure described in Section 2.3. We found offsets from the phase center in R.A. and decl. of 1.07 ± 0.05 and 1.65 ± 0.04 mas, respectively, suggesting that the absolute astrometric accuracy is indeed approaching the 1.4 mas floor. This corresponds to 5% of the synthesized beam size or about 11 pc at z = 3.

Systematic uncertainties of interferometric calibrations (e.g., baseline calibration) can introduce fictitious morphology in a source. We, therefore, need to establish the source morphology fidelity, which, to first order, can be done by confirming that a point source remains pointlike through the entire observing setup and calibration. To this end, we inspected the morphology of the phase calibrator, J0348−2749, which has previously been constrained to be pointlike at a uvmax of at least 1137 (ALMA Calibrator Source Catalog). Our longest baselines are ≈9779 . Confirming the pointlike nature of the phase calibrator hence indicates the angular scale above which morphological measurement is robust. Again, a uv-plane model fitting (Section 2.3) shows that the phase calibrator, detected at ≃104σ, is well described by a circular Gaussian with FWHM of 2.30 ± 0.02 mas, i.e., there is no measurable artificial broadening beyond the 2.3 mas scale. We also conducted this experiment on the flux calibrator, J0522−3627, which is detected at ≃105σ and found the size to be ≲0.5 mas, although there is a jetlike extended component at the 0.1% flux level. Therefore, we adopt the result from the phase calibrator that the morphology is robust at angular resolutions ≥2.3 mas. These experiments quantified the fidelities of astrometric and morphological measurements to an angular scale that is a small fraction of the synthesized beam, i.e., to physical scales of 20 × 10 pc at z = 3. The position and morphology resolved by the beam of 320 × 230 pc can therefore be studied confidently.

2.5. Ancillary Data

The HUDF (Beckwith et al. 2006) has a uniquely sensitive set of multiwavelength imaging and spectroscopy. The following is the list of surveys and catalogs used in this work. The HST images at 0.4–1.6 μm that reach 29.8–30.3 mag (5σ, AB) are from the HUDF12 and XDF data releases (Ellis et al. 2013; Koekemoer et al. 2013; Illingworth et al. 2013). We have corrected all HST images for the astrometric offsets reported by Rujopakarn et al. (2016), derived by comparing the HST and VLA positions (ΔR.A. = −80 ± 110 mas, Δdecl. = 260 ± 130 mas bring HST astrometry to an agreement with the ICRF), which is now confirmed by comparing HST positions with those from Pan-STARRS (M. Franco et al. 2019, in preparation). Spitzer and Herschel catalogs at 3.6–500 μm are based on the methodology originally discussed in Elbaz et al. (2011); a new, deblended far-IR photometric catalog described by Elbaz et al. (2018) is used in this work. The field has been a subject of intense ALMA contiguous deep-field observations, including, e.g., at 1.3 mm (Dunlop et al. 2017) and the ALMA Spectroscopic Survey in the HUDF (APECS; PI: F. Walter) at Bands 3 (84–115 GHz) and 6 (212–272 GHz). Ultra-deep VLA observations at 6 GHz reach 0.32 μJy beam−1 rms (Rujopakarn et al. 2016), detecting all of the confirmed16 Dunlop et al. (2017) ALMA sources at z < 4. Spectroscopic redshifts are available for UDF1 and UDF2; an accurate photometric redshift utilizing all available optical and near-infrared imaging is adopted for UDF7. The Chandra 7 Ms X-ray survey (Luo et al. 2017) is used to identify X-ray AGNs.

We estimate the spatially integrated stellar mass (M*) using HYPERZ (Bolzonella et al. 2000) and the Pérez-González et al. (2008) SED-fitting codes, utilizing the most recent revision of the Barro et al. (2011) photometric compilation. All photometry out to 8.0 μm is utilized, adopting the Bruzual & Charlot (2003) stellar population synthesis model (hereafter BC03), experimenting with both the constant and exponentially declining star formation histories (SFHs), a Chabrier (2003) IMF, and the Calzetti et al. (2000) extinction law with AV up to 5 mag. The stellar mass estimates from the two codes agreed within 0.1–0.2 dex; we average them into the adopted values tabulated in Table 1. We further find good agreement between these values and those estimated with EAZY (Brammer et al. 2008) using the Conroy et al. (2009) Flexible Stellar Population Synthesis, indicating well-constrained stellar masses for these galaxies. We use GALFIT (Peng et al. 2010) to model and decompose the HST H160 images (Illingworth et al. 2013) to estimate the effective radius, re, and the Sérsic index, n. We fitted all components simultaneously to achieve a uniform residual noise, then subtracted the dominant Sérsic component from the fit to search for any stellar mass substructures. The procedure is illustrated in Appendix A.

Table 1.  Typical Star-forming Galaxies in the HUDF

ID R.A. Decl. z M* LIR SFR Mdust Mgas fgas SFRlimit
  (deg) (deg)   (log ${M}_{\odot }$) (log L) (log ${M}_{\odot }$) (log ${M}_{\odot }$) (log ${M}_{\odot }$)   (${M}_{\odot }$ yr−1)
UDF1 53.18347 −27.77666 2.698 10.7 ± 0.1 12.59 ± 0.01 444 ± 5 9.03 ± 0.02 11.0 ± 0.2 0.7 ± 0.1 1.9
UDF2 53.18137 −27.77758 2.696 10.9 ± 0.2 12.35 ± 0.01 257 ± 4 8.99 ± 0.03 11.0 ± 0.2 0.5 ± 0.1 0.9
UDF7 53.18053 −27.77971 2.59 10.6 ± 0.2 12.01 ± 0.01 116 ± 1 8.33 ± 0.08 10.3 ± 0.3 0.3 ± 0.2 2.8

Note. fgas = Mgas/(Mgas + M*); zspec is reported with three decimal points, two decimal point values indicates zphot. Uncertainties of parameters from far-IR SED-fitting, e.g., LIR and SFR, are statistical. The SFRlimit on substructures is 1σ per 200 pc beam; details are given in Section 3.2. We assume a main-sequence Mgas/Mdust of 90 here.

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We estimate total IR luminosities, LIR, and dust masses, Mdust, following Magdis et al. (2012) by fitting the Spitzer, Herschel (deblended), and ALMA photometry at 24–1300 μm with the Draine & Li (2007) models. The total gas mass, Mgas, for each galaxy, which incorporates both the molecular and atomic phases, is then inferred from its dust mass and the metallicity-dependent dust-to-gas ratio, GDR(Z), conversion factor presented in Magdis et al. (2012). For our sample, we adopt a solar metallicity that corresponds to GDR(Z) ≈ 90. The Mgas estimates assuming GDR(Z) agree within ≃0.1–0.2 dex with those inferred based on the recipe presented in Scoville et al. (2017) using the monochromatic flux densities at 1.3 mm from Dunlop et al. (2017) because 870 μm no longer firmly lies in the rest-frame Rayleigh–Jeans regime at z ≥ 2.5. The LIR is used to estimate the SFR via the Kennicutt (1998) relation, with a factor of 0.66 adjustment to the Chabrier (2003) IMF. We note that the LIR estimates from the Draine & Li (2007) models agree within ≲0.1 dex with those from the Rieke et al. (2009) templates. Physical parameters of HUDF galaxies are tabulated in Table 1, CANDELS IDs are from Guo et al. (2013), and object-specific notes on the ancillary data are as follows.

UDF1 (CANDELS ID: 15669) has zspec = 2.698 from the ASPECS Band 3 survey (Aravena et al. 2019; Boogaard et al. 2019; Decarli et al. 2019; González-López et al. 2019). It harbors an X-ray active galactic nucleus (AGN) with ${L}_{{\rm{X}},0.5\mbox{--}7\mathrm{kev}}\,=6.4\times {10}^{43}$ erg s−1 (intrinsic, absorption-corrected). Its radio luminosity of L6 GHz = 3.8 ± 0.2 × 1023 W Hz−1 is consistent with being of star-forming origin (Rieke et al. 2009). UDF1 is a borderline starburst, with SFR/SFRMS of 3.1–3.5 (SFRMS being the SFR centered on the main sequence given its stellar mass and redshift) depending on the choice of SFRMS parameterizations among Whitaker et al. (2012), Speagle et al. (2014), and Schreiber et al. (2015).

UDF2 (CANDELS ID: 15639) has ${z}_{\mathrm{spec}}=2.696$, also from the ASPECS. This galaxy is not detected in the 7 Ms Chandra X-ray observations; its radio luminosity of L6 GHz = 3.1 ± 0.3 × 1023 W Hz−1 is consistent with being of star-forming origin. UDF2 has SFR/SFRMS of 1.3–1.6, i.e., within the scatter of the main sequence regardless of the choice of main-sequence parameterization.

UDF7 (CANDELS ID: 15381) has zphot = 2.59. It is X-ray detected with an X-ray luminosity of LX, 0.5–7 kev = 3.7 × 1042 erg s−1. The radio luminosity of L6 GHz = 7.6 ± 0.2 × 1023 W Hz−1 is ∼5× the level predicted by the far-IR emission and the far-IR/radio correlation, indicating a radio AGN (Rujopakarn et al. 2018). Its SFR/SFRMS is 0.9–1.2, again, well within the main sequence regardless of the choice of main-sequence parameterization.

3. Results

Our ALMA 870 μm observations probe the rest-frame emission at ≃240 μm. No cold dust feature is found at the position of the UV-bright star-forming clumps, which are spatially distanced from the bulk of star formation near the centers (Figure 1). The central regions of intense, obscured star formation in these galaxies are resolved into up to 70 resolution elements (Figure 2). They are well modeled in the uv plane with two concentric elliptical Gaussians. We find the distributions of cold dust emission at this physical resolution to be remarkably smooth, showing no sign of clumpy star formation.

Figure 1.

Figure 1. The locations of the sites of intense star formation traced by ALMA (red contours) in relation to the distributions of existing stellar mass and unobscured star formation. From left to right are cutouts from (1) the HST color composites with the scale bar indicating a physical scale of 5 kpc, (2) the original HST H160 image, (3) the HST H160 image with the dominant Sérsic component removed to show stellar mass substructures. The removed Sérsic centroid and size are shown by the yellow dot and yellow ellipse, respectively (details of the GALFIT modeling to quantify this Sérsic component are given in Appendix A), and (4) the HST V606 image showing rest-frame UV star formation clumps. Each cutout is 3'' × 3''; north is up, east is on the left. The ALMA contours are [5, 10, 25, and 40] × σ; the ALMA beam, not shown, is 42 × 30 mas, approximately the size of each pixel of the HST V606 images in the rightmost column. The intensely star-forming regions are embedded near the centers of the stellar mass distribution, yet no stellar mass substructures are observed at their locations. The rest-frame UV morphologies of UDF2 and 7 are highly disrupted, with the unobscured star-forming clumps being spatially dislocated by ≃2–10 kpc from the obscured star-forming disk at the centers.

Standard image High-resolution image
Figure 2.

Figure 2. The uv-plane modeling of HUDF galaxies. From left to right: the dirty image, source model convolved with the dirty beam, model-subtracted dirty image, source model, and the ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ constructed from the model. Each image cutout is 1'' × 1''; north is up, east is on the left. The contours are [−1.5, 1.5, 1.51.5, 1.52, ...] × σ; negative contours are dashed. The ALMA beam, not shown, is 42 × 30 mas, i.e., ≃103 beam area in each cutout. All sources are well described by the models; the resulting residual noise maps are uniform, indicating the lack of substructures. These images are sensitive to SFRs of ≃1–3 ${M}_{\odot }$ yr−1 per 200 pc beam (1σ). Substructures at this scale can contain no more than ≃1%, 1%, and 7% of the total SFR in UDF1, UDF2, and UDF7 (3σ), respectively.

Standard image High-resolution image

3.1. Comparison of ALMA and Optical Morphology

Figure 1 shows ALMA and optical morphologies of the targets. The best-fit model of the cold dust morphology for each galaxy is shown in Figure 2 with parameters tabulated in Table 2; the Sérsic parameters of the dominating component of the H160 morphology are listed in Figure 1. Rest-frame UV clumps are clearly visible in UDF2 and 7 in their HST V606 and i775 images. The rest-frame optical features in the HST Y105, J125, and H160 images indicate considerable underlying stellar mass. Yet, in all three galaxies, the unobscured star formation traces less than 1% of the total SFR (Dunlop et al. 2017). We note that in comparing the optical and dust distributions, GILDAS measures the ALMA sizes as Gaussian FWHM, θ, whereas GALFIT measures the HST sizes as Sérsic effective radius, re. The two conventions are related by θ ∼ 2.430re (Murphy et al. 2017). Morphologies of the individual sources are discussed in detail below.

Table 2.  UDF Source Decomposition in the uv Plane

ID Component R.A. Decl. Flux Size
    ('') ('') (μJy) (mas)
UDF1 Total 03:32:44.033 −27:46:35.960 3407 ± 226  
  1 0.003 ± 0.001 0.000 ± 0.001 1844 ± 159 86 ± 4 × 82 ± 4
  2 −0.027 ± 0.009 0.005 ± 0.007 1562 ± 159 247 ± 26 × 228 ± 24
UDF2 Total 03:32:43.529 −27:46:39.275 2797 ± 94
  1 0.000 ± 0.004 0.000 ± 0.007 1999 ± 81 457 ± 21 × 190 ± 10
  2 0.007 ± 0.001 0.007 ± 0.002 798 ± 48 99 ± 5 × 44 ± 4
UDF7 Total 03:32:43.326 −27:46:46.963 704 ± 56
  1 0.004 ± 0.004 0.001 ± 0.004 576 ± 48 112 ± 13 × 36 ± 9
  2 −0.005 ± 0.003 −0.006 ± 0.002 128 ± 28 ...

Note. Source IDs are from Dunlop et al. (2017). R.A. and decl. of each component are tabulated as offsets in arcseconds relative to the position (ICRS) in the corresponding "Total" row. Size are FWHM; dots in the size column indicate an unresolved component. Fluxes are 870 μm integrated flux, corrected for the primary beam attenuation.

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3.1.1. UDF1

Figure 2 shows the rest-frame 240 μm emission of UDF1. The cold dust emission is spatially resolved into ≃60 resolution elements (the area enclosed within the FWHM extent). It is best modeled in the uv plane by two concentric elliptical Gaussians with integrated fluxes of 1.56 ± 0.16 mJy and 1.84 ± 0.16 mJy (corrected for the primary beam attenuation), and with FWHMs of 0.67 ± 0.04 × 0.63 ± 0.03 kpc and 1.90 ± 0.20 × 1.76 ± 0.18 kpc. A single elliptical Gaussian model can only recover 83% of the integrated flux, leaving an extended halolike residual and necessitating a second, larger component (we will touch on the possibility of the model being a single Sérsic component in Section 4.1). After removing these two components, the background noise is uniform; no residual ≳3σ remains (the local σ = 15.7 μJy beam−1).

The HST H160 emission is dominated by a point source (i.e., a point-spread function) and a fainter Sérsic component, likely representing the AGN and disklike emission, respectively. The Sérsic component has an effective radius re = 3.16 ± 0.17 kpc and a Sérsic index n = 2.13 ± 0.13. There appears to be an offset of 0farcs13 between the Sérsic component and the AGN (Figure 1 and Appendix A), which may be a sign of a recent interaction. The cold dust is cospatial with the AGN/point source, that is, the dust emission is cospatial with the AGN and offset from the stellar mass centroid. There are no off-center star-forming clumps in the HST rest-frame UV images.

3.1.2. UDF2

The rest-frame 240 μm emission of UDF2 is spatially resolved into ≃70 resolution elements. The source is well modeled with two concentric elliptical Gaussians: one bright, extended component, and a fainter compact one, nicknamed hereafter as the "disk" and "core," respectively. The disk is best modeled by an elliptical Gaussian with an FWHM of 3.63 ± 0.17 × 1.51 ± 0.09 kpc, with an integrated flux of 2.0 ± 0.1 mJy. The core is modeled by an elliptical Gaussian with an FWHM of 0.79 ± 0.05 × 0.36 ± 0.04 kpc and a flux of 0.80 ± 0.05 mJy. These two components were fitted simultaneously, yielding a combined flux of 2.80 ± 0.1 mJy. After subtracting the core and disk from the image, no residual peak ≳3σ remains (local σ = 9.6 μJy beam−1).

The H160 morphology is significantly disturbed. Full morphological modeling using GALFIT requires fitting simultaneously six components to yield a uniform residual image (model shown in Appendix A). There are two dominant ones: a Sérsic disk and a compact component indicating a substantial concentration of stellar mass. The dominant Sérsic component has an effective radius re = 3.71 ± 0.06 kpc, a Sérsic index n = 0.73 ± 0.04, and a position angle of 56° ± 1°. There is a broad similarity in the orientation of the optical Sérsic component and that of the dust disk, PA = 16° ± 3°. However, the misalignment is significant, undermining the interpretation that they originate from a common physical structure. Subtracting only the dominant Sérsic component reveals multiple stellar mass substructures (Figure 1); the dust emission is not cospatial with any of them. The offset from the dust emission peak to the largest stellar mass concentration is ∼0farcs25. The offset between the centroid of the best-fit Sérsic component and dust emission is ≲1/6th of the effective diameter of the Sérsic component. That is, the cold dust emission appears to originate within the geometric centroid of the stellar distribution that could be characterized as the core area of UDF2. However, the region of dust emission is devoid of stellar mass substructures, which could be an effect of strong extinction associated with the dust concentration.

None of the remaining four stellar mass substructures coincide with the dust emission; they have a range of offsets of 0farcs3–1farcs3 (2–10 kpc) from its center. These substructures have corresponding counterparts in the HST i775 and V606 images that probe the rest-frame emission at ≃1300–2200 Å, suggesting that they harbor unobscured star formation. The SFR of these substructures is <1 ${M}_{\odot }$ yr−1, less than 0.5% of the total SFR.

3.1.3. UDF7

The dust emission of UDF7 is well modeled with an elliptical Gaussian and a cospatial point source, with the point source a factor of 4 fainter than the Gaussian component. The Gaussian FWHM is 0.90 ± 0.10 × 0.29 ± 0.07 kpc in size, containing 0.58 ± 0.05 mJy of integrated flux, whereas the point source is 0.13 ± 0.03 mJy (both corrected for the primary beam attenuation). This is an example where the uv-based analysis is necessary to measure the size of the dust-emitting region, as the minor axis of the Gaussian is comparable in size to the native beam. After subtracting the two components, no residual peak ≳3σ remains (local σ = 17.6 μJy beam−1).

The H160 image shows complex morphology, requiring five components to model using GALFIT (Appendix A). The dominant Sérsic component has re = 3.95 ± 0.04 kpc and n = 1.17 ± 0.01, with a ≃0farcs1 offset from the centroid of the dust emission. Nevertheless, given that the dust emission is very compact, it originates entirely from the central area of the stellar mass concentration. There are five distinct rest-UV-bright clumps identifiable in the i775 and V606 images, with counterparts in every band out to H160, indicating considerable underlying stellar mass. No cold dust feature is observed at the positions of these star-forming clumps. The dominant Sérsic component is marginally detected in the V606 image, but it is fainter than the UV star-forming clumps. Again, the unobscured star formation in UDF7 contributes <1 ${M}_{\odot }$ yr−1 to the global star formation.

3.2. Smoothness of the Cold Dust Distributions

Our high-fidelity, extinction-independent observations reveal the central region of intense star formation in each galaxy to be morphologically smooth, in the sense that only the dominant disklike dust concentration is present with no additional substructure or clumpy appearance. Inspection of Figure 2 indicates that the residual maps of UDF2 and UDF7 only contain one residual peak above 2.75σ and no peak above 3.37σ (fourth and fifth solid contours, respectively); the residual map of UDF1 contains no peak above 2.75σ. Given that each cutout contains ≈103 beams, we expect up to ≃3 stochastic 3σ peaks from ideal Gaussian noise. The underprevalence of such peaks provides a conservative limit on the presence of star-forming substructures.

We quantify the upper SFR limit of substructures by scaling the local 870 μm residual noise per beam to the total 870 μm flux, which corresponds to the spatially integrated SFR estimated from fitting the SED with the Spitzer, Herschel, and ALMA photometry. While this approach assumes that the dust temperature and IMF do not vary within each source, it implicitly takes into account the dust temperature variations among the galaxies. The 1σ sensitivities to SFR within our 200 pc beam at the positions of UDF1, 2, and 7 are 1.9, 0.9, 2.8 ${M}_{\odot }$ yr−1, respectively. That is, the UV-bright clumps can contain no more than ≃1%, 1%, and 7% respectively (3σ upper limits, given the total SFRs in Table 1) of the total star formation in these systems.

Our SFR sensitivity to clumps that are intrinsically larger than the 200 pc beam (e.g., ≃1 kpc) has to be scaled correspondingly (see Zanella et al. 2018), as we are limited by the surface brightness sensitivity of our observations. We note that this is a potential issue of the surface brightness limitation and not due to the maximum recoverable scale of the interferometer, which has been shown to be larger than our galaxies in Section 2.1. However, we argue against missing star-forming clumps in this manner with the new findings on the intrinsic clump sizes via gravitational lensing in Section 4.2.2, comparison with the substructures typically found in SMGs in Section 4.2.3, and with the new model predictions on intrinsic clump sizes in Section 4.2.5.

3.3. Maps of the SFR Surface Density

Maps of the SFR surface density, ${{\rm{\Sigma }}}_{\mathrm{SFR}}$, are useful for, e.g., combining with ΣM* measurements to study the spatially resolved star formation efficiency, as well as predicting the IR SED of the galaxy (Rujopakarn et al. 2013). We convert the ALMA dust continuum map into one of ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ by scaling the 870 μm flux to the total in the same way as we placed limits on the clumpy star formation above. Specifically, we constructed a noise-free model for each source from the Gaussian components listed in Table 2. ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ in each model pixel is given by ${{\rm{\Sigma }}}_{\mathrm{SFR}}={\mathrm{SFR}}_{\mathrm{total}}({S}_{870,\mathrm{pixel}}/{S}_{870,\mathrm{total}})/{{\rm{\Omega }}}_{\mathrm{pixel}}$, where SFRtotal is from the 24 to 1300 μm SED fitting and Ωpixel is the pixel area in kpc2. As the sources are well described by the Gaussian models, this approach provides a measure of the ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ that is free of fictitious boosting, due to noise fluctuations that could interfere with the interpretation of the maps. The ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ maps of HUDF galaxies are shown in Figure 2.

These maps indicate that the most intense star formation originates from compact regions: areas with ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ ≥ 100 ${M}_{\odot }$ yr−1 kpc−2 are limited to the central 0.4–1.0 kpc2 in these galaxies. A majority of the surface area of the dust distribution (i.e., in the sense of an area larger than those enclosed by the FWHM) harbors ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ ≳ 1 ${M}_{\odot }$ yr−1 kpc−2 and possibly drives strong outflows (e.g., Newman et al. 2012; Bordoloi et al. 2014), to be confirmed with spatially resolved kinematics.

While this indirect method to produce ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ maps carries considerable uncertainties, it is the only tracer capable of 200 pc resolution unaffected by dust extinction. If AV can indeed be as extreme as the ∼100 mag reported in SMGs (Simpson et al. 2017), this precludes any optical or near-infrared avenues even with the James Webb Space Telescope (JWST): the corresponding APaα would be ∼15 mag and ABrα would still be ∼2 mag (Rieke & Lebofsky 1985). An example illustrating the limitations of optical/near-IR tracers is Nelson et al.'s (2019) report of Hα emission in a z ≃ 1.25 galaxy with a conspicuous void in the middle where, however, the dust continuum indicates intense star formation (see also, e.g., Förster Schreiber et al. 2018). We observe a similar effect in the central region of UDF2, where the H160 emission (rest-frame 0.43 μm) appears suppressed at the location of dust emission. ALMA remains the only high-resolution extinction-independent tracer until the era of next-generation radio facilities.

We note that the implicit assumptions that the dust temperature and IMF do not vary spatially within each galaxy are likely to be challenged with future observations. The variation of the dust temperature is straightforward to constrain with additional spatially resolved observations across the dust spectrum. The IMF variation is less so. Some recent results hint at a more top-heavy IMF at the sites of intense starbursts locally (Motte et al. 2018; Schneider et al. 2018) and at z ∼ 2–3 (Zhang et al. 2018). If confirmed to be a common occurrence in typical SFGs at z ∼ 3, it is possible that the intense starburst near the centers of these galaxies could have systematically top-heavy IMFs compared to the outskirts, thereby lowering the central ${{\rm{\Sigma }}}_{\mathrm{SFR}}$.

4. Discussion

4.1. Spatial Distribution of Cold Dust

While two components were needed to model the cold dust emission of our HUDF galaxies, we did not require them to be cospatial—their centroids were free parameters. However, the best-fit models, yielding uniform noise residual maps, indicate that they are cospatial within ≃10 mas (Table 2), comparable to the corresponding positional uncertainties. In the case of UDF2, where the source elongation is very pronounced, the position angles of the two Gaussians are in excellent agreement: 14fdg6 ± 1fdg7 and 15fdg7 ± 2fdg9. The cospatiality, in effect, creates a linear superposition of Gaussians, which is consistent with our expectation that such a superposition can accurately represent a single Sérsic profile (Hogg & Lang 2013, discussion in Section 2.3).

On the optical side, we highlight two challenges in interpreting the HST morphologies before further discussion of the ALMA/HST comparison. First, while disturbed H160 morphologies are observed in all three of our HUDF galaxies (including the visually innocuous UDF1), the origin of such disturbances is inconclusive, with the possibilities ranging from in situ disk instability or patchy dust extinction to major and minor mergers (or any combinations of these). Second, we cannot ascertain that the rest-frame UV and optical substructures in angular proximity to the galaxies are physically associated with the galaxies (or simply foreground or background sources). Definitive confirmation of associations will require spatially resolved spectroscopy at resolution comparable to our ALMA observations (tens of milliarcseconds) from next-generation optical facilities. The following discussion assumes that the rest-frame optical emission modeled with GALFIT (Figure 7 in Appendix A) and the rest-frame UV emission circled in Figure 1 are associated with our galaxies.

In the cases of UDF2 and UDF7, the presence of compact dust emission surrounded by multiple rest-frame UV components is notably similar to those reported by, e.g., Gómez-Guijarro et al. (2018), in six intensely star-forming galaxies at z ∼ 4.5. In these two galaxies, the rest-frame UV star-forming clumps are spatially distanced by ≃2–10 kpc from most of the star formation. The dislocation is a common occurrence in typical z ∼ 2–3 massive star-forming galaxies (Rujopakarn et al. 2016; Dunlop et al. 2017) as well as in submillimeter-bright galaxies at z ∼ 3–4 (Hodge et al. 2016; Gómez-Guijarro et al. 2018), which presents a fundamental limitation to the application of an energy-balancing argument (e.g., da Cunha et al. 2015) to estimate their total, mostly obscured, SFR. This effect is also seen in the large dispersion of the infrared excess (IRX) for ALMA-selected galaxies, ranging from the level consistent with the Calzetti et al. (2000) extinction law to one to two orders of magnitudes above it (McLure et al. 2018), similarly representing an obstacle to the application of the IRX–β method (β being the rest-frame UV continuum slope, Sλλβ; Meurer et al. 1999) to estimate the total SFR in luminous SFGs typical at this epoch (see also, e.g., Hodge et al. 2016; Simpson et al. 2017; Gómez-Guijarro et al. 2018).

In all three galaxies, we observe offsets of 0farcs1–0farcs2 between the bulk of star formation and the centroids of the stellar mass distributions. While these offsets are comparable to the 0farcs15 rms of the registration of HST astrometry to the ICRS in GOODS-S, the median offset between HST and ICRS is less than 10 mas (Rujopakarn et al. 2016; M. Franco et al. 2019, in preparation). Furthermore, the dust location either coincides with the optical AGN (UDF1) or a dark area that may represent strong extinction (UDF2 and 7). These results suggest that the offsets are real, but, e.g., JWST/NIRCam imaging will be required for a definitive confirmation. Nevertheless, given the Sérsic sizes and the general proximity of the dust emission to the Sérsic centroids, it can be established with the current imaging that the dust-emitting regions are embedded in the Sérsic disk.

While the dust-emitting regions are visually more compact than the H160 extent (also reported by, e.g., Chen et al. 2015; Barro et al. 2016; Fujimoto et al. 2018; Hodge et al. 2019), it is possible that the H160 images do not reflect the true stellar mass distribution of these galaxies, due to strong dust extinction, especially in the cases of UDF2 and 7. Again, JWST and next-generation facilities will be required for a definitive study of the relationship between ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ and ${{\rm{\Sigma }}}_{{M}_{* }}$.

Regardless of the fiducial stellar mass distribution at the location of intense star formation, the ongoing episode of star formation is capable of doubling the global stellar mass within 0.2–0.4 Gyr, and the newly formed stellar mass will likely lie within the innermost ≲0.5 kpc. Whether these episodes of star formation are capable of forming bulges will depend critically on the nature of any feedback, e.g., star-formation-driven outflows, which remain to be characterized in a spatially resolved manner in typical SFGs at z ∼ 3.

The intensely star-forming region of UDF7 has previously been reported by Rujopakarn et al. (2018) to be cospatial with the location of excess radio emission signifying the location of an AGN, which has been localized to ≲100 pc using high-fidelity VLA imaging at 6 GHz (Rujopakarn et al. 2016). We confirm with the improved ALMA imaging in this work that the AGN is cospatial with intense star formation at this scale, consistent with a picture of in situ bulge formation with cospatial and contemporaneous growth of supermassive black holes. Similarly, the bright point source required to model the H160 morphology of UDF1, which likely represents the AGN emission, is also cospatial with the dust emission.

Lastly, the smoothness of the cold dust emission is remarkable considering the complex and disturbed rest-frame UV emission, which indicates that a galaxywide disturbance has occurred recently. This highlights how quickly the cold gas is capable of resettling into the star-forming disk following such a disruptive event. While the emergence of a kinematically ordered disk is anticipated from simulations of, e.g., gas-rich mergers typical in the early universe after a ∼Gyr (Robertson et al. 2006; Hopkins et al. 2009) and rotationally supported disks are observed in local merger remnants (Ueda et al. 2014), the dust disk resettlement timescale of ≲0.1 Gyr implied by the disturbed UV-bright morphology (i.e., the lifetime of OB stars) is not expected from the aforementioned models and suggests that a disruptive event in a gas-rich environment may be far more dissipative than previously thought. Without drawing the conclusion that our HUDF galaxies are mergers, we nevertheless point out that recent merger simulations such as those of Fensch et al. (2017) that take into account the environment and dynamics typical of the high-z ISM have found the gas resettling time to be ∼0.1–0.2 Gyr. This highlights the importance of characterizing the origin of the disruptive events in these galaxies.

4.2. Clumplessness versus Previously Reported Clumps

We now put the observed clumplessness of the HUDF galaxies in context by comparing with previously reported star-forming clumps at various wavelengths, and with the clumps identified from high-resolution images obtained via gravitational lensing. The star formation substructures found in the high-fidelity ALMA observations of SMGs by Hodge et al. (2019) deserve special attention and will be discussed separately in Section 4.2.3.

4.2.1. Previously Reported Clumps at Various Wavelengths

We will first focus on the recent reports of star-forming substructures at z ≃ 1–3 from optical and near-IR observations. As clump properties depend strongly on the SFR of their host galaxy, we will discuss the results in the following descending order of SFR: Genzel et al. (2011), Wisnioski et al. (2012), Swinbank et al. (2012), Guo et al. (2018), and Soto et al. (2017).

The Genzel et al. (2011) sample of five typical SFGs is the most similar to our HUDF galaxies in terms of redshift, SFR, and stellar mass: z ∼ 2.3, SFR ≃ 70–180 ${M}_{\odot }$ yr−1, and log(M*/${M}_{\odot }$) ≃ 10.3–11.0. The galaxies are drawn from the spatially resolved spectroscopic sample of Hα emission using VLT/SINFONI (Förster Schreiber et al. 2009); additional AO-assisted SINFONI observations were conducted to achieve a typical resolution of 0farcs2. (Genzel et al. 2011). More than 20 kpc-sized star-forming clumps are found in five galaxies with individual clumps the sites of SFRs of 3–40 ${M}_{\odot }$ yr−1 (typically 10–20 ${M}_{\odot }$ yr−1), which are 6%–20% of the total SFR in each galaxy (we will refer to this percentage as the "fractional SFR" hereafter) based on their Hα emission. Such star-forming clumps, especially considering their fractional SFR, would have been very strongly detected if any existed in our HUDF galaxies.

Wisnioski et al. (2012) describe a sample at a slightly more recent cosmic epoch, z ≃ 1.3, and less strong SFRs, 20–50 ${M}_{\odot }$ yr−1, but similar stellar masses, log(M*/${M}_{\odot }$) ≃ 10.7–11.0, i.e., those assembling their stellar mass at relatively later time compared to the Genzel et al. (2011) sample. They find eight clumps in three galaxies from spatially resolved Hα observations using Keck/OSIRIS. Overall, their clumps contain a median SFR of 4 ${M}_{\odot }$ yr−1, which is 13% in terms of the median fractional SFR. The Swinbank et al. (2012) sample of AO-assisted SINFONI spatially resolved Hα spectroscopy of nine galaxies, drawn from a narrowband Hα imaging survey, is at similar redshifts of z ≈ 0.8 and 1.4 but with a much lower median stellar mass of log(M*/${M}_{\odot }$) ≈ 10.1. With the total host SFRs of 1–10 ${M}_{\odot }$ yr−1, the SFR of individual clumps is also smaller at 0.5–2.9 ${M}_{\odot }$ yr−1, implying an even larger fractional SFR of ∼25%. Our imaging sensitivity is not sufficient to detect the level of SFRs in the individual Wisnioski et al. (2012) and Swinbank et al. (2012) clumps if they are at z = 3 (possibly detecting two to three clumps from the former). However, if the fractional SFRs in our targets were as large as in these hosts, they would also have been well detected.

For completeness, we also consider the comprehensive selections of rest-frame UV clumps by Soto et al. (2017) and Guo et al. (2018) using the HST rest-frame far-UV and near-UV imaging, respectively. At z = 1.5–3.0, the Guo et al. (2018) catalog contains 1083 clumps in 501 galaxies; the selection bands are the CANDELS imaging at V606 for 1.0 ≤ z ≤ 2.0 and i775 for 2.0 ≤ z ≤ 3.0 galaxies. These clumps have a median log(M*/${M}_{\odot }$) of 8.4 (see the stellar mass of gravitationally lensed star-forming clumps in Section 4.2.2) and a median SFR of the clumps and hosts of 1.2 and 22.2 ${M}_{\odot }$ yr−1, respectively (7% fractional SFR). At lower redshifts (z = 0.5–1.5), the Soto et al. (2017) sample contains typical SFGs selected from HST F225W, F275W, and F336W imaging, with median stellar mass and SFR of ≃107 ${M}_{\odot }$ and 0.29 ${M}_{\odot }$ yr−1, respectively, again, with a fractional SFR of 5%. We would not be able to detect these unobscured UV clumps if they are at z = 3, as evident from the optical comparisons in Section 3.1. Two UV clumps in UDF7, the brightest in the optical among our three galaxies, are actually cataloged by Guo et al. (2018), but no dust emission is observed at their locations.

The sensitivity and resolution of sub/millimeter observations have only started to approach optical observations with the advent of ALMA, and still can only reach the more luminous SFR regimes. A majority of high-resolution (e.g., resolution ≲0farcs2) studies of unlensed galaxies with ALMA were carried out on SMGs selected from single-dish surveys (e.g., the JCMT and APEX surveys of COSMOS, ECDFS, and UDS at 850 μm and 1.1 mm by Scott et al. 2008; Weiß et al. 2009; Geach et al. 2017). These surveys pushed their sensitivities to the limit of the confusion noise, typically ∼1 mJy, yielding reliable detections above sub/millimeter fluxes of ∼4 mJy, and hence the parent samples for the following observations are populated by luminous SFGs.

Iono et al. (2016) carried out 350 GHz ALMA observations of three sources from the AzTEC survey in COSMOS (AzTEC-1, 4, and 8; z = 3.12–4.34) with SFR ∼ 1300–2800 ${M}_{\odot }$ yr−1 at angular resolutions of 15–50 mas. They reported spatially resolving the sources into multiple substructures; two of the brightest ones in AzTEC-1 (each with SFR ≃ 50 ${M}_{\odot }$ yr−1) were confirmed with CO (4−3) kinematics by Tadaki et al. (2018). Hodge et al. (2016) observed 16 sources from the ALESS survey (Hodge et al. 2013) at 354 GHz with 0farcs16 resolution, revealing them to be extended dust disks with typical diameters of 3.6 ± 0.4 kpc. While a majority of the Hodge et al. (2016) galaxies appear smooth at their resolution and sensitivity, some do show signs of substructures. Hodge et al. (2016) demonstrated with simulations that at moderate S/Ns of 5–10, smooth disks can be broken up into visually convincing spurious clumps. However, with improved ALMA data, Hodge et al. (2019) have shown many of the clumps in these galaxies to be real (Section 4.2.3 is dedicated to discussing this result). Similarly, dust continuum and [C ii] imaging at 30 mas resolution by Gullberg et al. (2018) of four z ≃ 4.4–4.8 SMGs visually show multitudes of substructures. As with Hodge et al., they caution that there is a significant probability that this result may be consistent with a smooth disk. These studies are reminders that high-fidelity observations are required in pushing the resolution and sensitivity of interferometric imaging to search for star-forming substructures.

As a result of the confusion limit, even the comparably faint single-dish-selected SMGs are brighter in the far-IR than typical SFGs: they have typical S870 μm of 5–15 mJy (Weiß et al. 2009; Hodge et al. 2013), whereas massive main-sequence SFGs have S870 μm of about 1–3 mJy at z ∼ 3 (Scoville et al. 2017 and those in this work). As discussed in the following section, observations of gravitationally lensed main-sequence SFGs at z ∼ 2–3 also provide no evidence of substructures. To date, there is no confirmed report of substructures in the bulk of star formation in main-sequence SFGs at z ∼ 2–3.

4.2.2. Clumps in Gravitationally Lensed Galaxies

Strong gravitational lensing by a galaxy or galaxy cluster preserves surface brightness while spatially magnifying background sources by a factor of as much as a few hundreds. With proper lens modeling, this technique allows current-generation observing facilities to capture high-resolution details in distant galaxies not otherwise feasible. Highly magnifying lenses are often selected from optical surveys of galaxy clusters by identifying bright, extended arcs (e.g., Gladders & Yee 2005; Bayliss 2012).

Gravitational lensing provides more tests for clumps at lower redshifts (z ≲ 2) and/or at lower SFRs. Recent observations of these lensed "giant arcs" often achieve physical resolution in the source plane of ≃50–100 pc. For example, Sharon et al. (2012) and Wuyts et al. (2014) observed a giant lensed arc RCSGA 0327 with HST and Keck/OSIRIS, a z = 1.70 galaxy forming stars at 29 ± 8 ${M}_{\odot }$ yr−1. Source reconstruction indicated at least seven star-forming clumps, each 300–600 pc in diameter. In SDSS J1110 + 6459, a z = 2.48 galaxy with a global SFR of 8.5 ${M}_{\odot }$ yr−1, Johnson et al. (2017a, 2017b) reported 27 clumps, each 60–100 pc in diameter and forming stars at a few 10−3 ${M}_{\odot }$ yr−1(see also Jones et al. 2010; Menéndez-Delmestre et al. 2013; Livermore et al. 2015; Girard et al. 2018).

Cava et al. (2018) reported 55 star-forming clumps in the "Cosmic Snake," a galaxy at z = 1.04 forming stars at 30 ${M}_{\odot }$ yr−1. The background galaxy is lensed into two images: a highly magnified one with magnifications of tens to more than 200 along the namesake arc and a much less magnified counterimage that has a magnification of 4.5. The physical resolution that can be reconstructed from the Snake is as small as 30 pc, whereas the resolution from the counterimage is limited to 300 pc (comparable to HST's). Notably, the clumps identified from the 30 pc image have an average mass of log(M*/${M}_{\odot }$) = 8.0, compared with log(M*/${M}_{\odot }$) = 8.7 from the 300 pc reconstruction; the sizes of the clumps identified in the 300 pc image are also twice as large (after correcting for the lensing effect). The differences highlight the fictitious increase in clump size and mass when measured at lower resolution, due to clusters of smaller clumps blending together into the appearance of larger clumps, even with other systematics mitigated by observing the same background source via a natural lens.

Similar results have been reported by others. Dessauges-Zavadsky et al. (2017) compared luminosities and stellar masses of star-forming clumps identified from unlensed and lensed galaxies from the literature and found a systematic difference. Clump stellar masses from lensed galaxies have median log(M*/${M}_{\odot }$) ≃ 7.0 while the median of those from field galaxies is log(M*/${M}_{\odot }$) ≃ 8.9. This is also reflected in their median luminosity, MV, with distributions peaking at MV ≃ −19 and ≃−17 for the field and lensed galaxies, respectively. The field identification of clumps primarily relies on HST imaging with spatial resolution of 0farcs1, corresponding to ≃1 kpc at z ∼ 1–3. Dessauges-Zavadsky et al. (2017) suggest that the limited spatial resolution and the propensity of the intrinsically ∼100pc star-forming clumps with log(M*/${M}_{\odot }$) ∼ 7–8 to cluster may be responsible for the appearance of giant kiloparsec clumps with log(M*/${M}_{\odot }$) ≃ 9. Similarly, Rigby et al. (2017) smoothed the model image of the aforementioned SDSS J1110+6459 to simulate the resolution of HST and found that the intrinsic 27 clumps were blended together into a single disk with Sérsic index n = 1.0 ± 0.4 and re = 2.7 ± 0.3 (see also a similar result from smoothing low-z galaxy images to simulate z ∼ 2 galaxies by Fisher et al. 2017). It remains an open question whether giant, massive kiloparsec-scale star-forming clumps really do exist and whether clump–clump mergers are capable of producing such massive clumps in the course of their evolution. We will revisit the topic of intrinsic clump sizes from the theoretical perspective in Section 4.2.5.

While the selection of optically bright giant arcs in galaxy clusters affords extraordinary magnification to characterize the intrinsic clumps, it also selects hosts with relatively low SFR that are, by necessity, unobscured. The clumps identified are therefore more similar to rest-frame UV clumps such as those described by Soto et al. (2017) and Guo et al. (2018). Again, highly magnified galaxies in the far-IR are needed to probe the substructures in the bulk of star formation in massive main-sequence SFGs such as those of our HUDF targets.

A notable far-IR search for clumps in main-sequence SFGs at z > 2 was conducted on the strongly lensed "Eyelash." Swinbank et al. (2010) reported four clumps of 100–300 pc diameter in this gravitationally lensed typical SFG with a total unlensed SFR of 210 ± 50 ${M}_{\odot }$ yr−1 at z = 2.33. The reported star-forming substructures are clearly visible at 4σ–7σ in their 870 μm image from the Submillimeter Array (SMA; Swinbank et al. 2010). However, recent ALMA observations at multiple bands with higher sensitivity than those from the SMA indicate that the Eyelash is morphologically smooth (Falgarone et al. 2017; R. J. Ivison et al. 2019, in preparation). While this is a gravitationally lensed system, the disagreement is unrelated to the lens, but rather to the challenges of interferometric imaging.

The most prolific approach to identify far-IR lenses is to conduct large-area shallow surveys for far-IR-bright sources. This is because the bright end of the far-IR number counts plummets rapidly above, e.g., an S500 μm of 100 mJy, such that the fraction of lensed galaxies above this range is near unity (Negrello et al. 2017). The largest samples of far-IR lenses were identified from surveys such as the South Pole Telescope (SPT) 87 deg2 surveys at 1.4 and 2.0 mm (Vieira et al. 2010) and the Herschel-ATLAS 570 deg2 survey at 100–500 μm (Eales et al. 2010). Far-IR lenses selected from this approach tend to be luminous SFGs at higher redshifts, due to the combination of the aforementioned efficient lens selection at bright far-IR flux and the larger effect of the negative K-correction at z ≳ 2. For example, the Spilker et al. (2016) sample of SPT lenses has a median redshift z = 4.3 and median SFR of 1100 ${M}_{\odot }$ yr−1.

The highest resolution and fidelity observations of a lensed system to date are those of SDP.81 at z = 3.0, identified from Herschel-ATLAS, as part of the ALMA long baseline campaign (ALMA Partnership et al. 2015), which revealed multiple substructures. Given a Toomre parameter Q of ≃0.3, SDP.81 is likely a merger system that drives an intense SFR of ≃500 ${M}_{\odot }$ yr−1 at high star formation efficiency (Dye et al. 2015; Swinbank et al. 2015). Swinbank et al. (2015) and Tamura et al. (2015) reported 5 and 35 star-forming clumps, respectively, from the same data; this apparent disagreement illustrates the challenge in clump identification even with high-fidelity data. As with interferometric imaging of star-forming substructures in field galaxies (Section 4.2.1), low S/N clumps in lensed sources are subject to the same pitfalls of a smooth disk being broken into clumps, because gravitational lensing preserves surface brightness. The ≥5σ clumps reported by Swinbank et al. (2015) are 200–300 pc in diameter after correcting for lensing effects. Such clumps should be well detected in our ALMA data, given their large fractional SFR (Figure 1 of Swinbank et al. 2015) and the comparable sensitivity between our observations and those of SDP.81 (10 versus 11 μJy beam−1 rms at Band 7, respectively) to the rest-frame 240–250 μm dust continuum. However, SDP.81 is ≃5 mJy at 880 μm after correcting for the lensing magnification (Dye et al. 2015; continuum magnification assumed), i.e., more similar in the far-IR flux to SMGs (Section 4.2.3) and two to three times brighter than our HUDF galaxies. While challenging, future high-fidelity observations similar to those of SDP.81, but on lensed sources identified to be representative of main-sequence SFGs, are needed to study intrinsic clumps in the typical SFG population.

4.2.3. Clumplessness in Typical SFGs versus Clumps in SMGs

Hodge et al. (2019), hereafter H19, found multiple clumplike star-forming substructures in six SMGs based on high-fidelity ALMA observations (we use the terms "clump" and "substructure" interchangeably in the following discussion). Observationally, the difference between their and our samples is primarily the far-IR flux densities, due to the selection from single-dish versus ALMA deep-field observations. As all six H19 SMGs are clumpy, whereas all three SFGs in our sample are clumpless, H19 provides a direct comparison sample to investigate the difference between the two.

The six SMGs are at z = 1.53–4.86 in the ECDFS. As with ours, their observations were at 870 μm. They were first identified from a single-dish survey (LESS, Weiß et al. 2009) and followed up with ALMA during Cycle 0 at 1''–3'' resolution (ALESS; Hodge et al. 2013), from which 16 SMGs were selected for 0farcs16 resolution observations by Hodge et al. (2016). From these 16 SMGs, six among the brightest (to minimize the observing time) were selected for 70 mas observations with rms sensitivities of 22–26 μJy beam−1, i.e., the same band, approximately a factor of 2 larger synthesized beam diameter, and a factor of 2 less sensitive than our work.

For a rigorous comparison, we took the pipeline product of the H19 archival data (ALMA#2016.1.00048.S) and analyzed the calibrated visibilities in the uv plane with GILDAS using an identical procedure to that for our data (Section 2.3). We fitted all components of the SMGs simultaneously with all parameters of every component being free. Components were added to the model one by one in increasing order of free parameters (e.g., point, circular Gaussian, elliptical Gaussian); the simultaneous fit was rerun each time as necessary to achieve a uniform residual after subtraction, shown in Figure 3. These components and their parameters are listed in Table 4 in Appendix B. The differences between the two data sets are evident: while the HUDF galaxies are well modeled by two cospatial Gaussians, the H19 SMGs require multiple additional small components, confirming the presence of dust substructures reported by H19.

Figure 3.

Figure 3. Applying the same analysis method as done with the HUDF galaxies (Figure 2), we confirm the Hodge et al. (2019) findings that submillimeter-selected galaxies (SMGs) in their samples harbor multiple substructures (Section 4.2.3). From left to right: dirty image; model convolved with the dirty beam for main components (those marked as "main" components in Table 4 in Appendix B); residual after subtracting the main components, i.e., dirty map of substructures; source model convolved with the dirty beam for all of the components; residual after subtracting all components; source model showing the main components in blue and substructures in red; and ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ map. Each image cutout is 1farcs× 1farcs5''; north is up, east is on the left. The contours are [−1.5, 1.5, 1.51.5, 1.52, ...] × σ. Many of the substructures (red components in the model column) in the Hodge et al. (2019) SMGs are as bright at S870 as our individual HUDF galaxies.

Standard image High-resolution image

After modeling all components of each source in the uv plane, we identify their far-IR substructures by subtracting the dominant components, defined by those positions coinciding with the peak emission. As shown in Table 4, there is little ambiguity as to which components are the dominant ones in all cases except that of ALESS 112.1, where there are two dominant components with integrated fluxes of 2.0 ± 0.1 and 2.3 ± 0.2 mJy; we subtract the former because it is at the location of the peak flux of the source. The substructure maps are shown in Figure 3 along with their source models and the ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ maps. Our images are similar to those in H19 from modeling in the image plane; the general agreement shows that the differences between the HUDF and H19 samples are not an artifact of the reductions.

Assuming a constant dust temperature and IMF, i.e., that the SFR varies linearly with the rest-frame 150–350 μm dust emission, the typical fractional SFRs in substructures in the H19 SMGs range from 4% to 10%, with two substructures being as large as 30%–36%. Clearly, this is higher than the 1%–7% (3σ) upper limits in our HUDF galaxies. The average integrated flux of the H19 galaxies from our measurement is 8.0 mJy, whereas the average for HUDF galaxies is 2.3 mJy (see Tables 2 and 4). The presence of dust substructures and the brighter far-IR fluxes are the two concrete observational differences between the HUDF and H19 samples.

While our analysis agreed with H19 in the presence of substructures in H19 SMGs, there are some differences in the identity, size, and flux of the substructures between our morphological decomposition and those of H19. The fraction of total flux contained in individual substructures reported by H19 is smaller (2%–8%) than we have found (2%–36%). These differences could be attributable to, e.g., the choice of model for the main component (single exponential versus nested Gaussians) or the differences in the residual noise characteristics between our substructure maps in Figure 3 and those of H19 (their Figure 3, rightmost column), which serves to highlight the range of possible answers that can arise from the methodological differences.

Figure 4.

Figure 4. As shown in Figures 2 and 3, HUDF galaxies only have smooth components of dust emission, whereas ALESS galaxies have multiple off-center substructures in addition to the main components. Some of the ALESS substructures have sizes and SFRs comparable to an entire HUDF galaxy.

Standard image High-resolution image
Figure 5.

Figure 5. Typical star-forming galaxies (SFGs) in the HUDF (blue squares) lie securely within the scatter of the main sequence of SFGs, and so do most of the submillimeter-selected galaxies (SMGs) from ALESS in the Hodge et al. (2019) sample (red squares), even considering a very conservative range of possible stellar masses. Both samples also form stars at comparable rates. The main reason that ALESS SMGs are detected in the single-dish survey (which also covers the HUDF) appears to be the larger dust mass. The dotted, dashed, and dotted–dashed lines are the main-sequence parameterizations at z = 3.0 by Whitaker et al. (2012), Speagle et al. (2014), and Schreiber et al. (2015), labeled W12, Sp14, and Sc15, respectively.

Standard image High-resolution image

The fact that the H19 substructures are found to be as bright (or in some cases brighter than) as the entire HUDF galaxy, illustrated in Figure 4, has an important observational implication. Specifically, some of the H19 substructures have S870 μm and physical sizes comparable to our faintest HUDF galaxy, UDF7, e.g., structure# 3 in ALESS 3.1 and structure# 3 in ALESS 17.1, among others (Table 4). Because UDF7 is significantly detected (≳17σ), even near the edge of our primary beam, substructures such as those in the H19 SMGs would also be well detected if they are present in the HUDF galaxies. This negates the concern that the twice higher resolution of our observations (i.e., four times smaller beam area) may lack the surface brightness sensitivity to detect substructures such as those of H19.

4.2.4. How are Typical SFGs and SMGs Different?

To take a closer look at the physical differences (and commonalities) between our HUDF galaxies and the H19 SMGs, we estimate the LIR, SFR, and stellar masses of the ALESS sample consistently using the same method as described in Section 2.5 using the most recent photometry and redshift. The most significant revisions in the available data from the previously published estimates are the HST H160 photometry from Chen et al. (2015) and the 2 mm photometry from ALMA program# 2015.1.00948.S (PI: da Cunha). The optical-to-8 μm and 24–870 μm photometry were taken from Simpson et al. (2014) and Swinbank et al. (2014), respectively, with the addition of the VIDEO and HSC observations (Jarvis et al. 2013; Ni et al. 2019); the zspec were from H19.

While the Mdust and LIR are relatively well constrained with the far-IR photometry, estimating the stellar mass is challenging for the H19 SMGs. They are undetected or not significantly detected at any optical/IR bands except at 3.6–8.0 μm. As a result, the SFH, age, metallicity, and extinction, on which stellar mass estimates strongly depend, cannot be firmly constrained. To quantify the extent of these systematics, we experimented with two independent methods, deriving the ALESS stellar masses using the HYPERZ (Bolzonella et al. 2000) and the Pérez-González et al. (2008) codes (i.e., the same as with the HUDF galaxies in Section 2.5), and compared them with the H19 estimates based on MAGPHYS. For the HYPERZ fit, we adopt a constant SFH, the BC03 models with stellar population age priors ranging from 0.05 to 0.4 Gyr, Chabrier IMF, and the Calzetti attenuation law. For the estimates with the Pérez-González et al. (2008) code, we adopt exponentially declining BC03 models with Chabrier IMF, the Calzetti attenuation law and no assumptions about metallicity. Additionally, we explore a range of τ from a single stellar population to constant star formation models; AV up to 5 mag is allowed. We find a broad agreement of stellar mass estimates from the two methods, but they are significantly lower (in two cases an order of magnitude lower) than the estimates from MAGPHYS. While some of these differences can be attributed to the assumptions of stellar population properties, both MAGPHYS' and our approaches could be affected by different pitfalls: ours from not having a firm constraint on dust extinction (whereby AV is underestimated), and MAGPHYS from assuming the energy-balancing argument despite the dislocations between the stellar mass buildup and intensely star-forming regions (illustrated by the optical/submillimeter comparisons in Figure 2 of H19). As a result, MAGPHYS could systematically overestimate the AV of any stellar mass buildup that is not cospatial with the dusty star-forming regions. It is possible that our stellar mass estimates are too low and H19's too high. The conundrums facing both the conventional and energy-balancing approaches will be required to be definitively resolved by JWST and next-generation extremely large telescopes (see also a comprehensive analysis of various stellar mass estimators of SMGs based on simulations by Michałowski et al. 2014). For the purpose of comparing the H19 and HUDF samples, we adopt the average of the estimates from our two methods as the H19 stellar masses, tabulated in Table 3, along with the H19 values for comparison.17 At the broadest level, this exercise cautions that care is needed in interpreting results pertaining to stellar masses for these extremely dust-obscured SMGs.

Table 3.  Submillimeter-selected Galaxies in the Hodge et al. (2019) ALESS Sample

ID R.A. Decl. z M* M*,H19 LIR SFR Mdust Mgas fgas
  (deg) (deg)   (log ${M}_{\odot }$) (log ${M}_{\odot }$) (log L) (log ${M}_{\odot }$) (log ${M}_{\odot }$) (log ${M}_{\odot }$)  
ALESS 3.1 53.33964 −27.9224 3.374 10.2 ± 0.2 ${11.30}_{-0.24}^{+0.19}$ 12.89 ± 0.03 880 ± 30 9.45 ± 0.04 10.9 ± 0.2 0.8 ± 0.1
ALESS 9.1 53.04722 −27.8700 4.867 10.8 ± 0.3 ... 13.33 ± 0.06 2430 ± 160 9.21 ± 0.02 10.7 ± 0.2 0.4 ± 0.2
ALESS 15.1 53.38905 −27.9916 2.67 10.6 ± 0.2 ${11.76}_{-0.26}^{+0.21}$ 12.62 ± 0.02 470 ± 10 9.65 ± 0.03 11.1 ± 0.2 0.8 ± 0.1
ALESS 17.1 53.03035 −27.8558 1.539 10.8 ± 0.2 ${11.01}_{-0.07}^{+0.08}$ 12.26 ± 0.05 210 ± 10 9.95 ± 0.03 11.4 ± 0.2 0.8 ± 0.1
ALESS 76.1 53.38479 −27.9988 3.389 10.5 ± 0.3 ${11.08}_{-0.34}^{+0.29}$ 12.23 ± 0.40 190 ± 90 9.63 ± 0.24 11.1 ± 0.4 0.8 ± 0.2
ALESS 112.1 53.20357 −27.5203 2.315 11.2 ± 0.2 ${11.36}_{-0.12}^{+0.09}$ 12.57 ± 0.04 420 ± 20 9.57 ± 0.04 11.0 ± 0.2 0.4 ± 0.1

Note. Source IDs are from Hodge et al. (2019). M* are from our estimate using conventional SED fittings and those from H19 are based on the energy-balancing MAGPHYS tabulated (except ALESS 9.1, which is affected by blending with a nearby object); details in Section 4.2.4. We assume a starburst Mgas/Mdust of 30 here. ${f}_{\mathrm{gas}}={M}_{\mathrm{gas}}/({M}_{\mathrm{gas}}+{M}_{* })$, adopting our M* estimates.

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Even with a rudimentary constraint on stellar masses, it emerges that four in six H19 SMGs have comparable stellar masses to our HUDF galaxies. These four SMGs are within the scatter of the main sequence (Figure 5), rendering them "typical SFGs" by our definition. They also have similar LIR, which could imply similar SFRs barring the probability of top-heavy IMFs at higher ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ (discussed in Section 3.3). The H19 SMGs appear to have larger dust masses, as evident in the 3×–5× brighter far-IR fluxes (Figure 6). However, this might not be representative of typical submillimeter-selected galaxies because H19 galaxies are among the brightest at the far-IR from the Hodge et al. (2016) sample, which in turn are among the brightest from the Hodge et al. (2013) sample. Also, their larger dust masses do not necessarily imply a larger gas mass, because a lower GDR might be more appropriate if they are merger-driven starbursts. This is because strong starbursting systems typically have a CO-to-Mgas αCO conversion factor of 0.8 M/(K km s−1 pc2), which corresponds to GDR ≈ 30 (e.g., Leroy et al. 2011; Genzel et al. 2012; Magdis et al. 2012; Silverman et al. 2018). It is, therefore, possible that both the ALESS and HUDF samples have comparable gas masses.

Figure 6.

Figure 6. Our HUDF galaxies are all clumpless, and the H19 ALESS SMGs are clumpy with some substructures as large and/or as bright as our HUDF galaxies. A natural explanation is that H19 SMGs are interacting systems involving multiple objects similar to our HUDF galaxies. Furthermore, the significantly larger dust masses of the H19 SMGs could suggest exceptionally intense and/or recent starbursts (Section 4.2.4). Models are shown to the same angular scale; same color coding as in Figures 2 and 3.

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Given the comparable LIR, M*, and perhaps even Mgas among the four out of six H19 SMGs and our HUDF galaxies, why are H19 SMGs much more dust rich and clumpy? In other words, four of the H19 SMGs and our HUDF galaxies are physically similar, so why do they appear differently? An explanation for the H19 substructures being comparably bright to our HUDF galaxies might be that these substructures originated from a class of disruptive events involving multiple systems with dust/gas reservoirs at the scale of our HUDF galaxies, e.g., major mergers of typical SFGs. The scale of the disruptive event found in our HUDF galaxies, characterized by the lack of star-forming substructures at our resolution and sensitivity, could be less violent, e.g., gas-rich disk instability or minor mergers. We note that at higher redshifts, minor mergers have been proposed as disruptive events triggering intense star formation in submillimeter-bright galaxies (e.g., Gómez-Guijarro et al. 2018, at z ∼ 4.5). Our interpretation of the H19 substructures diverges from that put forward by Hodge et al., that the SMG substructures are potentially signatures of the spiral, ring, and bar structures induced by interactions. Because such structures were not observed in the less violent interactions in our HUDF galaxies, we feel that it is unlikely that the more disruptive interactions characteristic of SMGs will lead to the formation of galactic structures akin to those found in the local universe. Rest-frame optical images could help resolve the question of the degree of disturbance of the galaxies and whether they are possible merger products. The HST H160 imaging of the HUDF galaxies reaches a sensitivity of 29.8 mag AB (Illingworth et al. 2013), but that of the ALESS galaxies has a median sensitivity of only 27.8 mag AB (Chen et al. 2015). More sensitive near-IR images are needed to systematically characterize the morphologies of H19 SMGs.

The picture of H19 SMGs representing a more extreme class of disruptive events that induces exceptionally intense starbursts (even though not all of them are presently starbursting) might also explain their larger dust mass. A merger-driven starburst in a gas-rich environment could proceed very rapidly compared to its gas reaccretion timescale (e.g., 0.05–0.1 Gyr). As such, dust and metal contents build up quickly in the observed star-forming regions with rapid consumption of gas, leading to a lower GDR even before an appreciable stellar mass increase occurs (see, e.g., the enhanced Mdust/M* in starburst galaxies reported by Béthermin et al. 2015). We stress that the proposed scenario is based on a very small number of galaxies. A larger sample of spatially resolved molecular gas distributions as well as ${{\rm{\Sigma }}}_{\mathrm{SFR}}$ maps from multiple bands to accurately constrain the Tdust for a large diversity of SFGs will be vital to testing these possible explanations and is already feasible with ALMA.

4.2.5. Clumplessness versus Models Predicting Clumps

Our observations of three typical SFGs at z ∼ 3, selected largely on the basis of stellar mass, shows their star formation to be smoothly distributed without significant clumps. This contrasts with the H19 SMGs, selected on the basis of brightness at 870 μm, which finds significant clumpiness in galaxies of similar stellar mass and far-IR luminosity. However, even in these cases, the clumps account for a minority of the far-IR luminosity and hence most of the star formation is not clumpy in both samples. Likewise, the Genzel et al. (2011) images of z ≃ 2.3 galaxies in Hα, whose stellar masses and SFRs are similar to our HUDF SFGs, indicate some clumps (Section 4.2.1) but, again, accounting for only a small fraction of the total SFR. Studies of lensed galaxies (Section 4.2.2) also show no convincing cases where the star formation is largely due to clumps.

When observers started to identify giant clumps at z ∼ 2 using HST images and found them to be ∼1 kpc in size and ∼109 ${M}_{\odot }$ in stellar mass, theorists invoked gas fragmentation driven by gravitational instability in gas-rich turbulent disks fed by intense inflows of gas fuel to reproduce such clumps in simulations of both isolated galaxies (Noguchi 1999; Immeli et al. 2004; Bournaud et al. 2007) and in cosmological simulations (Agertz et al. 2009; Ceverino et al. 2010; Genel et al. 2012). As observational evidence is mounting that the apparent giant clumps are likely caused by the limited angular resolution of observing facilities and the modest S/N of the observations, and any clumps are intrinsically an order of magnitude smaller (Section 4.2.2), the spatial and/or temporal resolution of models have also improved by an order of magnitude along with the more realistic subgrid physics, affording vast improvement in simulation of disk substructures. With the improved models, a new consensus emerged among modelers that typical clumps formed by disk fragmentation should be an order of magnitude smaller than previously thought, with clump mass in the range of 107–108 ${M}_{\odot }$ and clump radii of 100–200 pc (Mandelker et al. 2014, 2017; Moody et al. 2014; Mayer et al. 2016; Oklopčić et al. 2017), and that clumps more massive than 109 ${M}_{\odot }$ are rare, likely the result of clump–clump mergers or further gas accretion (Tamburello et al. 2015, 2017).

To reconcile this prediction of smaller clumps with the observations of kiloparsec-sized clumps, Behrendt et al. (2016) showed that clusters of ∼10 small clumps, each of ∼107 ${M}_{\odot }$ and ∼70 pc in diameter, can appear as a single giant clump when observed at the resolution of HST and AO-assisted ground-based facilities. Perhaps more importantly, these clump clusters can explain the large velocity dispersions observed in the giant clumps (50–100 km s−1; Genzel et al. 2011) as due to the internal motion within the clump cluster, i.e., without having to invoke stellar feedback. Tamburello et al. (2017) constructed mock Hα maps from the simulations of Tamburello et al. (2015) and "observed" them at 0.1 and 1 kpc resolutions. They found that the inferred physical properties of clumps depend sensitively on the observing resolution, e.g., the clump masses differ by a factor of 2 and the typical clump radii by an order of magnitude between the 0.1 and 1 kpc observations.

More recently, B. Faure et al. (2019, in preparation) used hydrodynamic simulations with a subparsec resolution to produce mock observations at "HST-like" and "ALMA-like" resolutions, 800 and 200 pc, respectively. At the HST-like resolution, the gas disk morphologies are dominated by giant clumps each containing a few percent (up to 5%–10%) of the galaxy's gas mass; simulations suggest that these giant gas clumps are the counterparts of optical giant clumps. When observed at the 200 pc resolution of our ALMA observations, these giant clumps break into several smaller clouds. These clouds, resolved in ALMA images, typically contain 0.2%–0.5% of the total gas mass of their host galaxy, with an upper limit of 1.5%. This picture can be tested with ALMA observations slightly more sensitive than those of our HUDF galaxies on a larger sample. These simulations agree with Dessauges-Zavadsky et al. (2017), Fisher et al. (2017), and Rigby et al. (2017) that the blending of multiple small star-forming clumps can explain the apparent clumpiness at the kiloparsec scale. B. Faure et al. (2019, in preparation) also show that these apparent giant kiloparsec-scale clumps, containing multiple smaller clouds, are not transient chance superpositions but gravitationally bound structures that can be gradually dispersed by stellar feedback and/or migrate toward the galactic bulge.

In addition to ruling out the presence of kiloparsec-scale giant star-forming clumps, our observations are in tension with some recent models. Because the intrinsic radii of clumps from simulations and observations of gravitational lens systems are now known to be 50–200 pc, our 200 pc observations are well suited for detecting them. For example, the typical in situ clumps predicted by Mandelker et al. (2017) are 107.5–108.5 ${M}_{\odot }$ in mass, 300–800 pc in diameter, and harbor SFR ∼ 0.1%–10% of that in the disk. The brighter populations of these predicted clumps should be well detected in our galaxies, contrary to our results. Models predicting lower mass clumps are still consistent with the smooth appearance of our HUDF galaxies. However, the finding that the Eyelash is clumpless (Section 4.2.2) will pose an even stronger tension on clumps, down to a physical scale of 50–100 pc. That is, while some of these simulations are in agreement with the rest-frame UV clumps revealed by gravitational lenses, the situation remains unconstrained in typical massive main-sequence SFGs at z ≃ 3.

We note that the clumps in the formative era of the Milky Way that Clarke et al. (2019) proposed to explain the present-day α-abundance bimodality measured by the SDSS/APOGEE survey (Nidever et al. 2014) are 107.5–109.5 ${M}_{\odot }$ in mass; the predicted distribution peaks at 108.1 ${M}_{\odot }$. The low-mass side of this range is still consistent with our HUDF galaxies being smooth.

5. Conclusion

We present 200 pc resolution ALMA continuum images at rest-frame ≃240 μm of three typical SFGs at z ∼ 3 and compare them with those of six SMGs from Hodge et al. (2019) observations with comparable image fidelity, the morphological properties of which have been derived using a self-consistent procedure. Our results can be summarized as follows.

  • 1.  
    Our images trace cold dust, which reveals the central obscured star-forming regions in typical SFGs to have smooth, disklike morphology ≃1–3 kpc across. Our images are sensitive to SFRs of 1–3 ${M}_{\odot }$ yr−1 (1σ) at a 200 pc scale. Any clumps or substructures can contain no more than 1%–7% (3σ upper limits) of the total star formation.
  • 2.  
    No other peripheral dust substructure is seen outside the intense star-forming region in these three typical SFGs. Two of our HUDF galaxies have in total ≈10 UV-selected star-forming clumps. These clumps are ≃2–10 kpc from the intense star-forming region. No enhancement of the dust emission is observed from these UV-selected clumps.
  • 3.  
    The absence of dust substructures at the 200 pc scale supports the picture that the apparent kiloparsec-sized star-forming clumps are results of clusters of ≲100 pc subclumps blending together due to the ≃0farcs1 resolution of optical observations. However, the brighter populations of the model-predicted subclumps should already be detectable in our ALMA observations, contrary to our findings.
  • 4.  
    In contrast with our HUDF galaxies, SMGs in the Hodge et al. (2019) sample have multiple dust substructures, with individual substructures containing typically 10%–30% of the total SFR (considerably larger than the 2%–8% found by Hodge et al.; see the discussion in Section 4.2.3), and being as large as our HUDF galaxies in some cases. A natural explanation is that these SMGs are interacting systems involving multiple objects at the scale of our HUDF SFGs. Nonetheless, clumps account for only a minority of the star formation even in these cases.

Additional spatially resolved ALMA observations of cold gas kinematics will be required to confirm that the disklike cold gas distributions in typical SFGs are indeed rotationally supported, as well as characterizing the potentially strong outflows, which will be critical to interpreting the roles of these compact, intense central star-forming regions in the formation of the bulge. Our findings that typical SFGs are smooth while SMGs are clumpy are still based on a very small number of galaxies. Significant ALMA time investment will be necessary to construct representative samples of typical SFGs and SMGs with high-fidelity morphological information.

The authors would like to thank Jacqueline Hodge, Erica Keller, Victor de Souza Magalhaes, Jérome Pety, Gergö Popping, Alvio Renzini, David Ruffolo, Kamolnate Trisupatsilp, and Fabian Walter for helpful discussions and suggestions. W.R. acknowledges support from the Thailand Research Fund/Office of the Higher Education Commission grant No. MRG6280259; Chulalongkorn University's CUniverse and the Ratchadapiseksompot Endowment Fund. P.G.P-G. acknowledges support from the Spanish Government grant AYA2015-63650-P. G.E.M. acknowledges support from the Villum Fonden research grant 13160 "Gas to stars, stars to dust: tracing star formation across cosmic time," the Cosmic Dawn Center of Excellence funded by the Danish National Research Foundation, and the ERC Consolidator Grant funding scheme (project ConTExt, grant number No. 648179). K.K. and T.W. acknowledge the support from JSPS KAKENHI grant No. JP17H06130 and the NAOJ ALMA Scientific Research grant No. 2017-06B. C.C.W. acknowledges support from the NSF Astronomy and Astrophysics Fellowship grant AST-1701546. Kavli IPMU is supported by World Premier International Research Center Initiative (WPI), MEXT, Japan. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2017.1.00001.S, #2016.1.00048.S, #2015.1.00948.S, #2012.1.00173.S. ALMA is a partnership of ESO (representing its member states), NSF (USA), and NINS (Japan), together with NRC (Canada), and NSC 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.

Appendix A: GALFIT Modeling of HST H160 Images

To search for stellar mass substructures, we model the HST/WFC3 H160 images with GALFIT (Peng et al. 2010) using the procedure illustrated in Figure 7. Starting with the original image in column (a), we model the emission with a combination of multiple Sérsic and/or point sources as necessary to achieve a uniform residual. The best-fit model and the resulting residual are shown in columns (b) and (c), respectively. From these best-fit models, we subtract only the dominant Sérsic components, shown in column (d), to produce the stellar mass substructure maps in column (e). These are the maps shown in the third column from the left of Figure 7, along with the Sérsic index n and effective radius re overlaid in the corresponding cutout.

Figure 7.

Figure 7. Steps taken to search for stellar mass substructures in the HST H160 observations, which probe the rest-frame optical emission. Briefly, we model all emission components (column (b)) to achieve a uniform residual (column (c)), then only subtract the dominant Sérsic model (column (d)) to produce substructure maps (column (e)). All images are shown with an identical linear scale.

Standard image High-resolution image

Appendix B: Properties of Substructures in the Hodge et al. (2019) SMGs

Results of uv-plane source decomposition for the Hodge et al. (2019) SMGs are tabulated in Table 4 (see Table 3 for our HUDF sample). These source components are visualized in Figure 3 (see Figure 2 for our HUDF sample). The uv-based analysis is described in Section 4.2.3.

Table 4.  H19 Source Decomposition in the uv Plane

ID Component Type R.A. Decl. Flux Size
      ('') ('') (μJy) (mas)
ALESS 3.1 Total   03:33:21.514 −27:55:20.466 9134 ± 308  
  1 Main 0.014 ± 0.010 0.009 ± 0.011 4646 ± 248 541 ± 29 × 379 ± 18
  2 Main −0.006 ± 0.001 −0.006 ± 0.002 2860 ± 131 150 ± 5 × 103 ± 4
  3 Clump 0.011 ± 0.005 0.199 ± 0.005 723 ± 93 109 ± 11
  4 Clump −0.329 ± 0.005 0.365 ± 0.004 481 ± 47 78 ± 8
  5 Clump −0.289 ± 0.007 0.164 ± 0.006 423 ± 69 95 ± 13
ALESS 9.1 Total   03:32:11.332 −27:52:12.005 9767 ± 590  
  1 Main −0.022 ± 0.005 −0.004 ± 0.001 1535 ± 139 194 ± 11 × 39 ± 5
  2 Main −0.009 ± 0.011 0.003 ± 0.006 2710 ± 350 226 ± 18
  3 Clump 0.177 ± 0.010 0.085 ± 0.007 1403 ± 235 178 ± 14
  4 Clump 0.017 ± 0.020 −0.101 ± 0.025 3409 ± 381 572 ± 39
  5 Clump −0.243 ± 0.008 −0.177 ± 0.006 171 ± 38 44 ± 17
  6 Clump 0.332 ± 0.007 −0.002 ± 0.006 343 ± 59 78 ± 13
  7 Clump −0.149 ± 0.004 −0.158 ± 0.003 194 ± 32 ...
ALESS 15.1 Total   03:33:33.371 −27:59:29.720 9471 ± 252  
  1 Main 0.001 ± 0.004 0.003 ± 0.005 6204 ± 187 440 ± 5 × 201 ± 17
  2 Main −0.002 ± 0.003 0.003 ± 0.002 900 ± 89 101 ± 6 × 40 ± 8
  3 Clump 0.162 ± 0.003 −0.205 ± 0.003 673 ± 72 95 ± 9 × 41 ± 10
  4 Clump −0.446 ± 0.011 0.372 ± 0.009 768 ± 81 202 ± 18
  5 Clump −0.072 ± 0.005 0.242 ± 0.004 369 ± 58 64 ± 10
  6 Clump 0.337 ± 0.009 −0.295 ± 0.007 553 ± 71 129 ± 14
ALESS 17.1 Total   03:32:07.285 −27:51:20.892 9133 ± 322  
  1 Main 0.024 ± 0.008 0.015 ± 0.005 4129 ± 235 455 ± 17 × 174 ± 9
  2 Main 0.007 ± 0.002 0.005 ± 0.001 3121 ± 178 191 ± 5 × 36 ± 2
  3 Clump 0.206 ± 0.002 0.118 ± 0.002 790 ± 67 62 ± 5
  4 Clump −0.166 ± 0.003 −0.102 ± 0.003 407 ± 53 44 ± 8
  5 Clump 0.772 ± 0.019 0.361 ± 0.018 683 ± 96 280 ± 33
ALESS 76.1 Total   03:33:32.350 −27:59:55.735 4428 ± 158  
  1 Main 0.002 ± 0.004 0.019 ± 0.003 3594 ± 117 271 ± 13 × 117 ± 4
  2 Main −0.008 ± 0.003 −0.008 ± 0.002 313 ± 48 ...
  3 Clump 0.185 ± 0.005 0.104 ± 0.004 521 ± 93 74 ± 9
ALESS 112.1 Total   03:32:48.856 −27:31:13.192 6436 ± 301  
  1 Main 0.007 ± 0.003 −0.014 ± 0.002 1976 ± 100 170 ± 8 × 101 ± 5
  2 Clump 0.242 ± 0.005 0.007 ± 0.007 1524 ± 131 290 ± 17 × 78 ± 8
  3 Clump −0.097 ± 0.007 −0.189 ± 0.009 297 ± 66 75 ± 17
  4 Clump 0.132 ± 0.020 −0.100 ± 0.022 2296 ± 238 627 ± 63 × 378 ± 41
  5 Clump −0.113 ± 0.003 −0.108 ± 0.002 340 ± 46 18 ± 12

Note. Source IDs are from Hodge et al. (2019). R.A. and decl. of each component are tabulated as offsets in arcseconds relative to the phase center position (ICRS) in the corresponding "Total" row. Sizes are FWHM; dots in the size column indicate an unresolved component. Fluxes are integrated, observed-frame 870 μm flux.

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Footnotes

  • 15 

    Typical star-forming galaxies are defined here as those with SFR within a factor of 4 of the main sequence (e.g., Rodighiero et al. 2011) at their corresponding redshift on all of the following main-sequence parameterizations: Whitaker et al. (2012), Speagle et al. (2014), and Schreiber et al. (2015), hereafter "typical SFGs."

  • 16 

    One of the Dunlop et al. (2017) ALMA sources, UDF14, at 3.7σ has no radio detection and has not been confirmed in more sensitive ALMA observations.

  • 17 

    For ALESS 9.1, the IRAC photometry is blended with a nearby bright object, e.g., Figure 10 of Chen et al. (2015). We estimated the stellar mass with deblended photometry out to 4.5 μm.

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10.3847/1538-4357/ab3791