ABSTRACT

We present predictions of the number and properties of strongly lensed submillimetre galaxies, based on an adaption of the physically motivated LensPop model covering galaxy–galaxy strong lensing by elliptical galaxies, which successfully predicted optical and near-infrared lenses. For submillimetre-luminous lensed galaxies, the most efficient observational selection identifies sources with high fluxes (⁠|$S_{500\, \mu \textrm {m}}>80$| mJy), where lensed sources outnumber bright unlensed sources; several hundred candidates from Herschel surveys have been identified, and confirmed by follow-up observations. We have tested our model against these observations. The model predicts an all-sky number density of 0.09 |$\pm$| 0.05 deg|$^{-2}$| (in absolute numbers, 3600 |$\pm$| 1800) of bright lensed galaxies detectable by this method. Observations show considerable variation in sky density between fields, 0.08–0.31 deg|$^{-2}$|⁠. Predictions of redshift and magnification distributions are comparable to observations, although the model appears to underpredict lenses at the highest magnifications (⁠|$\mu >20$|⁠). We predict that the apparent AB magnitudes at visible wavelengths of the foreground lenses will be as faint as 28, whereas observations typically reach |$\sim 23$|⁠, implying that some apparently unlensed bright submillimetre galaxies may have lensing galaxies below this detection limit. For fainter lensed galaxies, the model predicts over 130 000 systems with flux |$S_{500\, \mu \textrm {m}}>10$| mJy across the sky, of which |$\sim 3400$| remain be discovered in the Herschel catalogues. We also predict that Euclid should be able to detect some 25 000 lensed submillimetre galaxies that are VIS-band ‘dropouts’ – detectable in the near-infrared but not at optical wavelengths.

1 INTRODUCTION

Dusty star-forming galaxies in the early universe are detectable in the submillimetre, since their optical/UV emission is reprocessed by dust into the far-infrared and then redshifted into the submillimetre region. These galaxies were first discovered with the Sub-millimetre Common User Bolometer Array (SCUBA) instrument at the James Clerk Maxwell Telescope (JCMT) at |$850\, \mu$|m (Smail et al. 1997; Barger et al. 1998; Hughes et al. 1998). The number of submillimetre sources discovered in ground-based blank-field and cluster lens JCMT surveys has been increasing with advances in bolometer array instrumentation (e.g. the SCUBA-2 Cosmology Legacy Survey Geach et al. 2017, covering |$\sim 5$| deg|$^2$| and detecting |$\sim$|3 000 sources).

Strong gravitational lensing enables the detection of fainter and more distant submillimetre galaxies due to its angular and flux magnification of the background galaxy, enabling the study of star formation at high redshifts in more detail than would otherwise be possible. In addition, it enables the study of the substructure of dark matter haloes in the foreground lens, helping to constrain the properties of dark matter, particularly in large samples. Although these lensed systems are rare objects, a technique for identifying them by their excess flux in wide-field catalogues was demonstrated by Negrello et al. (2010) and has led to the discovery of several hundred candidate lensed galaxies so far.

The Herschel Space Telescope (Pilbratt et al. 2010) provided several wide-field surveys at |$500\, \mu$|m, e.g.: the Herschel Astrophysical Terahertz Large Area Survey (H-ATLAS; Eales et al. 2010) covered 600 deg|$^2$|⁠, the Herschel Multi-tiered Extragalactic Survey (HerMES; Oliver et al. 2012) covered 380 deg|$^2$|⁠, and the Herschel Stripe 82 Survey (HerS; Viero et al. 2014) covered 79 deg|$^2$|⁠.

The technique is a simple one: using early data from the H-ATLAS survey, Negrello et al. (2010) showed that due to the steep drop in number counts of unlensed galaxies at |$500\, \mu$|m, virtually all sources with flux |$S_{500\, \mu \textrm {m}}>100$| mJy were strongly lensed, after other clearly-recognizable sources such as blazars and low-redshift spiral galaxies were removed. Later work identified further lensed submillimetre galaxies with Herschel data using this technique, such as Wardlow et al. (2013), Bussmann et al. (2013), Nayyeri et al. (2016), and Negrello et al. (2017). Recent work in the Bright Extragalactic ALMA Redshift Survey (BEARS; Urquhart et al. 2022) has used radio observations to confirm 71 submillimetre lenses in the H-ATLAS SGP field which had been identified as lens candidates using the criterion |$S_{500\, \mu \textrm {m}}>80$| mJy. The proportion of sources which are strongly lensed drops sharply below 100 mJy, but is still significant at 80 mJy particularly if an additional criterion such as a redshift cut-off is used (Bakx et al. 2018). This is the criterion we shall be using for most of our model predictions of lenses in this paper.

Ground-based wide-field surveys have also been made at millimetre wavelengths, such as a 2 500 square degree survey (Reuter et al. 2020) with the South Pole Telescope (SPT; Carlstrom et al. 2011), and surveys of 455 and 840 square degrees (Marsden et al. 2014; Gralla et al. 2020) with the Atacama Cosmology Telescope (ACT; Swetz et al. 2011). The two ground-based surveys used a variation of the Negrello technique adapted for longer wavelengths. The SPT survey identified lens candidates based on flux measurements initially at 1.4 mm using the criterion of |$S_{\rm 1.4\, \textrm {mm}}>20$| mJy (Vieira et al. 2013). This work was refined with observations by the Large Apex BOlometer CAmera (LABOCA; Siringo et al. 2009) using |$S_{870\, \mu \textrm {m}}>25$| mJy (Reuter et al. 2020), who estimated that lensed sources accounted for |$\sim$|74 per cent of all sources identified with this criterion. The ACT survey used the criterion of |$S_{\rm 1.4\, \textrm {mm}}>14$| mJy (Marsden et al. 2014).

Data from the Planck cosmic microwave background experiment were also used to identify candidates (Planck Collaboration XXXIX 2016), a subset of which were followed up with dedicated Herschel imaging (Cañameras et al. 2015; Planck Collaboration XXVII 2015) and a machine-learning approach to identify lens candidates (Lammers et al. 2022). Although submillimetre surveys by Planck are much shallower than those of Herschel, they are all-sky surveys and at least the very brightest lensed submillimetre galaxies should be detected, particularly those with the highest magnification (Trombetti et al. 2021; Kamieneski et al. 2024).

Confirmation of the candidates found by the Negrello technique requires follow-up observations, such as redshift measurement of the source and where possible of the lens, and/or morphological confirmation of lensing from high-resolution imaging. To examine the other properties of the source often requires sub-mm/mm-wave/radio observations since high-redshift submillimetre galaxies are usually difficult to detect at optical and near-infrared wavelengths. Where this has been done, the method of identifying candidate lenses with the Negrello criterion or the variants mentioned above has been shown to yield a very high success rate of confirmed lenses (Negrello et al. 2010; Bussmann et al. 2013; Vieira et al. 2013; Wardlow et al. 2013; Negrello et al. 2014; Nayyeri et al. 2016; Negrello et al. 2017; Reuter et al. 2020; Urquhart et al. 2022; Borsato et al. 2024).

In this paper, we present predictions of the number and properties of strongly lensed submillimetre galaxies using the LensPop model. This model was originally developed to predict strong lensing of optical or near-infrared galaxies (Collett 2015). We have adapted the model for use with submillimetre galaxies.

The original LensPop model is described in Section 2, and its adaption to submillimetre galaxies is described in Section 3. Observations made of submillimetre lenses are described briefly in Section 4 and these are compared to our model predictions in Section 5. These first sections deal with lensed sources with fluxes |$>80$| mJy; sources with lower flux, down to 10 mJy, are considered in Section 6. A discussion of the results and the potential for future observations is given in Section 7.

This paper assumes cosmological parameter values of |$H_0=70$| km s|$^{-1}$| Mpc|$^{-1}$|⁠, |$\Omega _\textrm {M}=0.3$| and |$\Omega _\Lambda =0.7$|⁠.

2 THE LensPop MODEL

The LensPop model used as the basis for the work presented in this paper was developed by Collett (2015) to predict strong gravitational lensing of optical galaxies, and is available as open source software.1 As described in that paper, the code was verified against observations of lenses by the galaxy-scale search of the Canada–France–Hawaii Telescope Legacy Survey (CFHTLS; More et al. 2012; Gavazzi et al. 2014; More et al. 2016). The paper predicted lenses discoverable by the Wide Field Survey of the Euclid Space Telescope (Laureijs et al. 2011), the Dark Energy Survey (DES; Dark Energy Survey Collaboration 2016), and the Legacy Survey of Space and Time on the Vera C. Rubin Observatory (LSST; Ivezic et al. 2008; Abell et al. 2009).

The model was later used to predict results for the Cosmic Evolution Survey (COSMOS; Scoville et al. 2007) and the Euclid Deep Field in Weiner (2019). A further prediction of 17 000 lensed near-infrared galaxies discoverable by the Nancy Grace Roman Space Telescope (formerly known as WFIRST; Green et al. 2012) was presented in Weiner, Serjeant & Sedgwick (2020).

The LensPop model assumes strong lensing by elliptical galaxies, which are modelled as singular isothermal ellipsoids (SIEs). A population of a billion foreground galaxies is generated using redshift, stellar velocity dispersion, flattening, effective radius, and absolute magnitude in each of three bands (r, i, z) as parameters. A simulated population of 34 331 sources prepared for the LSST collaboration (Connolly et al. 2010) is used as the background (potentially lensed) source population. The lensing cross-section of the foreground lens population is then projected on to the background population to generate an idealized set of lens systems (lens and source pairs). The model then uses the observing parameters of the particular survey being considered to identify a set of detectable strongly lensed sources.

Four criteria are used in the original model (Collett 2015) for accepting the lens as detectable: that the source is within the Einstein radius; that the image is resolved; that the tangential shearing of arcs is detectable, and that the signal-to-noise ratio is over 20 in at least one wavelength band.

3 ADAPTION OF MODEL TO SUBMILLIMETRE GALAXIES

To adapt the model for use in predicting lensing of submillimetre galaxies, we have made two major changes: firstly, a background source catalogue of submillimetre galaxies was needed to replace the source catalogue of optical galaxies originally used; secondly, the criteria used to detect the lenses were altered.

A mock submillimetre catalogue of 75 million sources was created, based on the study by Cai et al. (2013)2 which allows for an estimate of number counts as a function of the (unlensed) flux at |$500\, \mu$|m and redshift. For simplicity, we have used only submillimetre galaxies at |$z>1$|⁠. The unlensed number density based on the data from Cai et al. (2013) is consistent with that published for submillimetre galaxies (e.g. Negrello et al. 2010). The source density parameter needed in the model was calculated from the data in Cai et al. (2013) to be 0.011 arcsec|$^{-2}$|⁠. The model also requires the source galaxy angular size, which we have estimated using |$z\sim 1\!-\!3$| and |$z>3$| measurements from fig. 6 of Ikarashi et al. (2015).

The second change to the model was to the acceptability criteria. Of the four criteria used in the original model, only the requirement for the source centre to be within the Einstein radius (equation 1) is retained:

(1)

where |$\theta _{\rm E}$| is the Einstein radius and (⁠|$x_\textrm {S}$|⁠, |$y_\textrm {S}$|⁠) are the coordinates of the centre of the source with respect to the lens; and a new criterion is added:

(2)

where |$S_{\rm 500\, \mu \textrm {m}}$| is the observed flux at |$500\, \mu$|m. Model predictions for lower-flux sources will be considered in Section 6. The source and lens redshift distributions predicted by the model are shown in Fig. 1.

LensPop model predictions for lens and source redshifts of lensed submillimetre galaxies with S$_{500}>80$ mJy. Median redshifts are shown as points on the X-axis. Redshift predictions will be compared with observations in Section 5.
Figure 1.

LensPop model predictions for lens and source redshifts of lensed submillimetre galaxies with S|$_{500}>80$| mJy. Median redshifts are shown as points on the X-axis. Redshift predictions will be compared with observations in Section 5.

The adaption of the LensPop model to submillimetre galaxies is discussed in more detail in Weiner (2019), which also shows that the predictions of the adapted model are not sensitive to variations in cosmological parameters, for fixed observed source counts. The adapted LensPop code is available as open source software.3

4 OBSERVATIONS OF SUBMILLIMETRE LENSES

The main studies of observations of submillimetre lenses using the Negrello criterion are listed in this section, and will be compared to our model predictions in the next section. These studies have used data from Herschel except for the SPT observations which we have included for comparison.

Bussmann et al. (2013) chose 30 candidates from the H-ATLAS and HerMES catalogues for follow-up imaging of the sources with the Submillimeter Array (SMA) and optical and radio spectroscopy to identify the lens; redshifts of the sources were mostly already known. Confirmation was obtained that 25 of the sources were lensed.

Wardlow et al. (2013) selected 13 candidates in the HerMES fields to follow up with various facilities, including submillimetre/radio interferometry with the SMA and the Jansky Very Large Array (JVLA), and near-infrared imaging with Keck-II and HST/WFC3. Confirmation of lensing was obtained for nine sources.

Calanog et al. (2014) presented 87 candidates from H-ATLAS and HerMES fields that were imaged in the near-infrared with Keck-Adaptive Optics and the Hubble Space Telescope (HST); clear lensing morphologies were observed for 15 candidates. Some of the other candidates were followed up in Borsato et al. (2024) (see below).

The study of Nayyeri et al. (2016) had 77 candidates that were chosen in the HerMES and HerS fields using the Negrello criterion, and presented follow-up observations which confirmed a lens for 13 of these candidates. The follow-ups were made with interferometric spectroscopy with the Green Bank Telescope (GBT), the Combined Array for Research in Millimeter-wave Astronomy (CARMA), and the Plateau de Bure Interferometer (PdBI) and in some cases with near-infrared imaging with Keck and the William Herschel Telescope (WHT).

Negrello et al. (2017) listed 50 candidates in the H-ATLAS NGP and equatorial fields that were cross-matched to available imaging and spectroscopic data for confirmation, and 28 sources were confirmed, comprising 14 in each field. The earlier papers, Negrello et al. (2010, 2014), dealt with the original five submillimetre lenses discovered.

Urquhart et al. (2022) continued this work in the Southern hemisphere, presenting 85 candidates in the H-ATLAS SGP field that were followed up with radio observations with the Atacama Large Millimeter Array (ALMA) 12-meter and ACA arrays. These observations found that many of the candidates were multiple sources, giving 142 individual sources. Spectroscopic confirmation was obtained for 71 of these sources.

It is usually difficult to identify the foreground lensing galaxy in studies of submillimetre lenses; Borsato et al. (2024) used snapshot observations taken over a period of several years with the HST on lens candidates (with |$S_{500\, \mu \textrm {m}} \ge 80$| mJy) from the Herschel surveys, finding candidates for the foreground lenses in 130 cases. From these, 65 systems were confirmed to be lenses, 30 being new discoveries.

Finally, although selection criteria are at different wavelengths, we also include comparison with results from the ground-based SPT, which completed their ALMA follow-up campaign of lensed submillimetre galaxies with Reuter et al. (2020). A total of 81 lensed sources were confirmed.

5 COMPARISON WITH OBSERVATIONS

The predictions of the model for various properties of the submillimetre lensing systems observable with Herschel are discussed in this section, and compared with the results of the observations with |$S_{\rm 500\, \mu \rm m}>80$| or |$>100$| mJy.

5.1 Galaxy group and cluster lenses

In comparing the predictions to observations, it should be borne in mind that the model predicts only galaxy–galaxy lenses, whereas observations will include galaxy group lenses and cluster lenses. Papers of observations have identified a number of these, but are not always able to distinguish them, so their number is unclear, but may be of the order of 10–20 per cent. For example, Negrello et al. (2017) identified two group lenses and two cluster lenses out of 28 confirmed lenses; Bussmann et al. (2013) identified two clusters lenses out of 25 identified lenses; in the SPT observations, Spilker et al. (2016) found four lenses out of 47 to be galaxy group or cluster lenses.

5.2 Surface number density

The model predicts that 3640 galaxy–galaxy lenses (all-sky) with flux |$S_{\rm 500\, \mu \rm m}>80$| mJy will be detectable, giving a sky density of |$0.09\pm 0.05$| deg|$^{-2}$|⁠.

The observed surface number density of submillimetre lensed systems for each field covered by studies reported to date is shown in Table 1. The surface density in the different fields ranges from |$0.08\pm 0.02$| deg|$^{-2}$| for the H-ATLAS Northern Galactic Pole (NGP) field, to |$0.27\pm 0.03$| deg|$^{-2}$| for the Southern Galactic Pole (SGP) field and |$0.31\pm 0.14$| deg|$^{-2}$| for the earlier studies of the H-ATLAS equatorial fields. The recent, larger study across all Herschel fields by Borsato et al. (2024) found a surface density of |$0.07\pm 0.01$| deg|$^{-2}$|⁠, but this only included sources whose foreground lenses were detected with HST. The observations suggest variability across the sky, although some of the fields cover a fairly small fraction of the whole sky. The observed variability is perhaps caused by cosmic variance, driven partly by lensing galaxies being preferentially biased towards richer environments.

Table 1.

The surface density of confirmed strongly lensed submillimetre galaxies from observations which use submillimetre flux criteria. Our model predicts a surface density of |$0.09\pm 0.05$| deg|$^{-2}$| (for galaxy–galaxy lenses only) using the |$S_{500\, \mu \rm m}>80$| mJy criterion.

Survey/fieldPaperCriterionAreaConfirmedSurface density
  (mJy)(deg|$^{2}$|⁠)sources(deg|$^{-2}$|⁠)
H-ATLAS SGP fieldUrquhart + 2022|$S_{500\, \mu \rm {m}}\ge 80$|26271|$0.27\pm 0.03$|
H-ATLAS NGP fieldNegrello + 2017|$S_{500\, \mu \rm {m}}>100$|17014|$0.08\pm 0.02$|
H-ATLAS equatorial fieldsNegrello + 2010, 2014|$S_{500\, \mu \rm {m}}>100$|165|$0.31\pm 0.14$|
 Negrello + 2017|$S_{500\, \mu \rm {m}}>100$|16214|$0.09\pm 0.02$|
HerMES fieldsWardlow + 2013|$S_{500\, \mu \rm {m}}>100$|959|$0.09\pm 0.03$|
H-ATLAS + HerMES fieldsBussmann + 2013|$S_{500\, \mu \rm {m}}>100$|39525|$0.22\pm 0.02$|
H-ATLAS + HerMES fieldsCalanog + 2014|$S_{500\, \mu \rm {m}}>100$|⁠,80 15 
HerMES  + HerS fieldsNayyeri + 2016|$S_{500\, \mu \rm {m}}>100$|37213 
All Herschel fieldsBorsato + 2023|$S_{500\, \mu \rm {m}}\ge 80$|1 00065|$>0.07$|
SPTVieira + 2013|$S_{1.4 \rm {mm}}>20$|1 30038|$>0.03$|
 Reuter + 2020|$S_{870\, \mu \rm {m}}>25$|2 50081|$>0.03$|
Survey/fieldPaperCriterionAreaConfirmedSurface density
  (mJy)(deg|$^{2}$|⁠)sources(deg|$^{-2}$|⁠)
H-ATLAS SGP fieldUrquhart + 2022|$S_{500\, \mu \rm {m}}\ge 80$|26271|$0.27\pm 0.03$|
H-ATLAS NGP fieldNegrello + 2017|$S_{500\, \mu \rm {m}}>100$|17014|$0.08\pm 0.02$|
H-ATLAS equatorial fieldsNegrello + 2010, 2014|$S_{500\, \mu \rm {m}}>100$|165|$0.31\pm 0.14$|
 Negrello + 2017|$S_{500\, \mu \rm {m}}>100$|16214|$0.09\pm 0.02$|
HerMES fieldsWardlow + 2013|$S_{500\, \mu \rm {m}}>100$|959|$0.09\pm 0.03$|
H-ATLAS + HerMES fieldsBussmann + 2013|$S_{500\, \mu \rm {m}}>100$|39525|$0.22\pm 0.02$|
H-ATLAS + HerMES fieldsCalanog + 2014|$S_{500\, \mu \rm {m}}>100$|⁠,80 15 
HerMES  + HerS fieldsNayyeri + 2016|$S_{500\, \mu \rm {m}}>100$|37213 
All Herschel fieldsBorsato + 2023|$S_{500\, \mu \rm {m}}\ge 80$|1 00065|$>0.07$|
SPTVieira + 2013|$S_{1.4 \rm {mm}}>20$|1 30038|$>0.03$|
 Reuter + 2020|$S_{870\, \mu \rm {m}}>25$|2 50081|$>0.03$|
Table 1.

The surface density of confirmed strongly lensed submillimetre galaxies from observations which use submillimetre flux criteria. Our model predicts a surface density of |$0.09\pm 0.05$| deg|$^{-2}$| (for galaxy–galaxy lenses only) using the |$S_{500\, \mu \rm m}>80$| mJy criterion.

Survey/fieldPaperCriterionAreaConfirmedSurface density
  (mJy)(deg|$^{2}$|⁠)sources(deg|$^{-2}$|⁠)
H-ATLAS SGP fieldUrquhart + 2022|$S_{500\, \mu \rm {m}}\ge 80$|26271|$0.27\pm 0.03$|
H-ATLAS NGP fieldNegrello + 2017|$S_{500\, \mu \rm {m}}>100$|17014|$0.08\pm 0.02$|
H-ATLAS equatorial fieldsNegrello + 2010, 2014|$S_{500\, \mu \rm {m}}>100$|165|$0.31\pm 0.14$|
 Negrello + 2017|$S_{500\, \mu \rm {m}}>100$|16214|$0.09\pm 0.02$|
HerMES fieldsWardlow + 2013|$S_{500\, \mu \rm {m}}>100$|959|$0.09\pm 0.03$|
H-ATLAS + HerMES fieldsBussmann + 2013|$S_{500\, \mu \rm {m}}>100$|39525|$0.22\pm 0.02$|
H-ATLAS + HerMES fieldsCalanog + 2014|$S_{500\, \mu \rm {m}}>100$|⁠,80 15 
HerMES  + HerS fieldsNayyeri + 2016|$S_{500\, \mu \rm {m}}>100$|37213 
All Herschel fieldsBorsato + 2023|$S_{500\, \mu \rm {m}}\ge 80$|1 00065|$>0.07$|
SPTVieira + 2013|$S_{1.4 \rm {mm}}>20$|1 30038|$>0.03$|
 Reuter + 2020|$S_{870\, \mu \rm {m}}>25$|2 50081|$>0.03$|
Survey/fieldPaperCriterionAreaConfirmedSurface density
  (mJy)(deg|$^{2}$|⁠)sources(deg|$^{-2}$|⁠)
H-ATLAS SGP fieldUrquhart + 2022|$S_{500\, \mu \rm {m}}\ge 80$|26271|$0.27\pm 0.03$|
H-ATLAS NGP fieldNegrello + 2017|$S_{500\, \mu \rm {m}}>100$|17014|$0.08\pm 0.02$|
H-ATLAS equatorial fieldsNegrello + 2010, 2014|$S_{500\, \mu \rm {m}}>100$|165|$0.31\pm 0.14$|
 Negrello + 2017|$S_{500\, \mu \rm {m}}>100$|16214|$0.09\pm 0.02$|
HerMES fieldsWardlow + 2013|$S_{500\, \mu \rm {m}}>100$|959|$0.09\pm 0.03$|
H-ATLAS + HerMES fieldsBussmann + 2013|$S_{500\, \mu \rm {m}}>100$|39525|$0.22\pm 0.02$|
H-ATLAS + HerMES fieldsCalanog + 2014|$S_{500\, \mu \rm {m}}>100$|⁠,80 15 
HerMES  + HerS fieldsNayyeri + 2016|$S_{500\, \mu \rm {m}}>100$|37213 
All Herschel fieldsBorsato + 2023|$S_{500\, \mu \rm {m}}\ge 80$|1 00065|$>0.07$|
SPTVieira + 2013|$S_{1.4 \rm {mm}}>20$|1 30038|$>0.03$|
 Reuter + 2020|$S_{870\, \mu \rm {m}}>25$|2 50081|$>0.03$|

The number density predicted by the model of |$0.09\pm 0.05$| deg|$^{-2}$| is within the observed range, although nearer the lower point. This may be because, in part, group lenses and cluster lenses are not predicted by the model; also, as discussed below, it seems the model may underpredict the number of the highest-magnification sources.

The ground-based surveys, which used |$870\, \mu$|m and 1.4 mm criteria, are less sensitive than the Herschel surveys, and show a lower-limit surface density of 0.03 deg|$^{-2}$|⁠. All-sky ground-based surveys with equipment similar to the SPT should yield perhaps 1300 submillimetre lenses.

The number count density of lenses by source flux is shown in Fig. 2, which covers a range from 10 mJy upwards, and shows the density counts observed in the studies to date at fluxes of 100 and 80 mJy. It also shows the count density for observations with the SPT (Reuter et al. 2020) above 40 mJy, and with the FLASH project (Bakx et al. 2024, see Section 6) above 15 mJy.

The cumulative number density predicted by the model for the lensed source flux, with a $1\sigma$ error band, compared to observations of confirmed lenses to date with standard deviation bars assuming Poisson statistics. The vertical bars at 80 and 100 mJy are displaced slightly for clarity. We omit compilations of unconfirmed lens candidates. Studies with additional selection criteria are shown as lower limits. Note that the model does not account for lensing by clusters or groups of galaxies, and systematic errors in the model assumptions may bias the lens number by tens of per cent, as discussed in Collett (2015). Also shown (in red) is the number density of the (unlensed) submillimetre sources in the model based on data in Cai et al. (2013). The figure suggests that unlensed sources may exceed lensed sources by an order of magnitude by $\sim$60 mJy.
Figure 2.

The cumulative number density predicted by the model for the lensed source flux, with a |$1\sigma$| error band, compared to observations of confirmed lenses to date with standard deviation bars assuming Poisson statistics. The vertical bars at 80 and 100 mJy are displaced slightly for clarity. We omit compilations of unconfirmed lens candidates. Studies with additional selection criteria are shown as lower limits. Note that the model does not account for lensing by clusters or groups of galaxies, and systematic errors in the model assumptions may bias the lens number by tens of per cent, as discussed in Collett (2015). Also shown (in red) is the number density of the (unlensed) submillimetre sources in the model based on data in Cai et al. (2013). The figure suggests that unlensed sources may exceed lensed sources by an order of magnitude by |$\sim$|60 mJy.

5.3 Redshifts

For source redshifts, the model predicts a median of 2.65 and a mean of |$z_\textrm {S}=2.72\pm 0.01$| (standard deviation 0.74); for lens redshifts, the model predicts a median of 0.72 and a mean of |$z_{\rm L}=0.77\pm 0.01$| (standard deviation 0.40), using the |$S_{500\, \mu \textrm {m}}>80$| mJy criterion. A histogram of the source and lens redshift distributions predicted by the model is shown in Fig. 1. Redshifts from observations are compared to model predictions in Table 2.

Table 2.

LensPop submillimetre galaxy predictions of redshifts, magnification, and source flux compared to observations from recent surveys.

 Lens redshift (⁠|$z_\textrm {L}$|⁠)Source redshift (⁠|$z_\textrm {S}$|⁠)Magnification (⁠|$\mu$|⁠)Lensed source flux S|$_{500}/$|mJy
 medianrangemedianrangemedianrangemedianrange
LensPop model        
|$S_{500\, \mu \textrm {m}}>100$| mJy0.690.1–2.02.61.3–4.86.242.2–32125100–492
|$S_{500\, \mu \textrm {m}}>80$| mJy0.720.1–2.02.71.3–5.05.651.9–3310480–492
Observed data        
Herschel        
 Bussmann + 2013 (25)0.60.2–1.42.51.3–4.26.91.2–15203101–344
 Wardlow + 2013 (9)0.60.4–1.42.81.3–3.4|$\sim 9$|1.5–23140110–249
 Nayyeri + 2016 (13)0.40.1–1.02.51.2–5.2164121–718
 Negrello + 2017 (28)0.60.2–1.22.51.0–4.28.21.8–16176104–343
 Urquhart + 2022 (71)0.70.5–1.32.71.4–4.54.81–508880–204
 Borsato + 2023 (65)0.60.1–1.42.61.0–5.26.11.9–2813055–718
Ground based        
 Reuter + 2020 (81)3.91.9–6.95.51.18–3312841–555
 Lens redshift (⁠|$z_\textrm {L}$|⁠)Source redshift (⁠|$z_\textrm {S}$|⁠)Magnification (⁠|$\mu$|⁠)Lensed source flux S|$_{500}/$|mJy
 medianrangemedianrangemedianrangemedianrange
LensPop model        
|$S_{500\, \mu \textrm {m}}>100$| mJy0.690.1–2.02.61.3–4.86.242.2–32125100–492
|$S_{500\, \mu \textrm {m}}>80$| mJy0.720.1–2.02.71.3–5.05.651.9–3310480–492
Observed data        
Herschel        
 Bussmann + 2013 (25)0.60.2–1.42.51.3–4.26.91.2–15203101–344
 Wardlow + 2013 (9)0.60.4–1.42.81.3–3.4|$\sim 9$|1.5–23140110–249
 Nayyeri + 2016 (13)0.40.1–1.02.51.2–5.2164121–718
 Negrello + 2017 (28)0.60.2–1.22.51.0–4.28.21.8–16176104–343
 Urquhart + 2022 (71)0.70.5–1.32.71.4–4.54.81–508880–204
 Borsato + 2023 (65)0.60.1–1.42.61.0–5.26.11.9–2813055–718
Ground based        
 Reuter + 2020 (81)3.91.9–6.95.51.18–3312841–555
Table 2.

LensPop submillimetre galaxy predictions of redshifts, magnification, and source flux compared to observations from recent surveys.

 Lens redshift (⁠|$z_\textrm {L}$|⁠)Source redshift (⁠|$z_\textrm {S}$|⁠)Magnification (⁠|$\mu$|⁠)Lensed source flux S|$_{500}/$|mJy
 medianrangemedianrangemedianrangemedianrange
LensPop model        
|$S_{500\, \mu \textrm {m}}>100$| mJy0.690.1–2.02.61.3–4.86.242.2–32125100–492
|$S_{500\, \mu \textrm {m}}>80$| mJy0.720.1–2.02.71.3–5.05.651.9–3310480–492
Observed data        
Herschel        
 Bussmann + 2013 (25)0.60.2–1.42.51.3–4.26.91.2–15203101–344
 Wardlow + 2013 (9)0.60.4–1.42.81.3–3.4|$\sim 9$|1.5–23140110–249
 Nayyeri + 2016 (13)0.40.1–1.02.51.2–5.2164121–718
 Negrello + 2017 (28)0.60.2–1.22.51.0–4.28.21.8–16176104–343
 Urquhart + 2022 (71)0.70.5–1.32.71.4–4.54.81–508880–204
 Borsato + 2023 (65)0.60.1–1.42.61.0–5.26.11.9–2813055–718
Ground based        
 Reuter + 2020 (81)3.91.9–6.95.51.18–3312841–555
 Lens redshift (⁠|$z_\textrm {L}$|⁠)Source redshift (⁠|$z_\textrm {S}$|⁠)Magnification (⁠|$\mu$|⁠)Lensed source flux S|$_{500}/$|mJy
 medianrangemedianrangemedianrangemedianrange
LensPop model        
|$S_{500\, \mu \textrm {m}}>100$| mJy0.690.1–2.02.61.3–4.86.242.2–32125100–492
|$S_{500\, \mu \textrm {m}}>80$| mJy0.720.1–2.02.71.3–5.05.651.9–3310480–492
Observed data        
Herschel        
 Bussmann + 2013 (25)0.60.2–1.42.51.3–4.26.91.2–15203101–344
 Wardlow + 2013 (9)0.60.4–1.42.81.3–3.4|$\sim 9$|1.5–23140110–249
 Nayyeri + 2016 (13)0.40.1–1.02.51.2–5.2164121–718
 Negrello + 2017 (28)0.60.2–1.22.51.0–4.28.21.8–16176104–343
 Urquhart + 2022 (71)0.70.5–1.32.71.4–4.54.81–508880–204
 Borsato + 2023 (65)0.60.1–1.42.61.0–5.26.11.9–2813055–718
Ground based        
 Reuter + 2020 (81)3.91.9–6.95.51.18–3312841–555

For background source redshifts |$z_\textrm {S}$|⁠, both the median and the range from the model match observations closely. Fig. 3(c) shows the number density by redshift: the results from Urquhart et al. (2022) are higher than the model predictions, but the other Herschel studies are reasonably close to the model.

Comparison of model predictions with observations. From top: (a) the magnification distribution for $\mu \ge 2$; (b) lensed source flux; and (c) source redshifts. The vertical bars are displaced slightly for clarity. The model predictions are shown with a $\pm 1\sigma$ band. The flux data for Urquhart observations is from Bakx et al. (2018). Poisson errors are assumed for the bin counts of the observations.
Figure 3.

Comparison of model predictions with observations. From top: (a) the magnification distribution for |$\mu \ge 2$|⁠; (b) lensed source flux; and (c) source redshifts. The vertical bars are displaced slightly for clarity. The model predictions are shown with a |$\pm 1\sigma$| band. The flux data for Urquhart observations is from Bakx et al. (2018). Poisson errors are assumed for the bin counts of the observations.

The situation is different for the foreground lens redshifts: the model shows a range of |$z_\textrm {L}$| from 0.06 to 2.0, whereas none of the observations reaches beyond |$z_\textrm {L}$| = 1.4 (see Fig. 6). A similar result also shows up clearly in the range of lens apparent magnitudes, discussed below.

Comparison between the 17 lenses in Borsato et al. (2024) for which the Einstein radius and both redshifts are available and model predictions for $S_{500}>80$ mJy.
Figure 4.

Comparison between the 17 lenses in Borsato et al. (2024) for which the Einstein radius and both redshifts are available and model predictions for |$S_{500}>80$| mJy.

The model predicts that the apparent magnitude of many foreground lenses in submillimetre lens systems is well below that of observations to date. Note that the wavelength bands are different in each case: an average ‘visible’ bands for the model, SDSS r band for Negrello et al. (2017), SDSS i band for Bussmann et al. (2013), the HST F110W band for Borsato et al. (2024) (all AB magnitudes).
Figure 5.

The model predicts that the apparent magnitude of many foreground lenses in submillimetre lens systems is well below that of observations to date. Note that the wavelength bands are different in each case: an average ‘visible’ bands for the model, SDSS r band for Negrello et al. (2017), SDSS i band for Bussmann et al. (2013), the HST F110W band for Borsato et al. (2024) (all AB magnitudes).

The left-hand panel demonstrates observations to date underestimate high-z, low-magnitude lenses. The simulated lens apparent magnitude in the VIS filter is plotted against lens redshift, and an approximate apparent magnitude limit corresponding to the observations in Fig. 5 is plotted as a vertical line. This corresponds to an effective lens redshift limit below 1.5, shown by the horizontal line. The right-hand panel shows the predicted Faber–Jackson relation, i.e. the relation between velocity dispersion (as a proxy for galaxy mass) and absolute magnitude. The predicted low-apparent-magnitude lenses show a similar mass–luminosity relation to that observed for faint elliptical galaxies (Bolton et al. 2008; Shu et al. 2016), although the simulation does not reproduce the small number of low-mass lenses. The luminosity for the BOSS sources is taken as an average of SDSS r, i, z wavelengths, like the model, in order to approximate the VIS filter; the wavelength for the luminosity for the SLACS data is 814 nm.
Figure 6.

The left-hand panel demonstrates observations to date underestimate high-z, low-magnitude lenses. The simulated lens apparent magnitude in the VIS filter is plotted against lens redshift, and an approximate apparent magnitude limit corresponding to the observations in Fig. 5 is plotted as a vertical line. This corresponds to an effective lens redshift limit below 1.5, shown by the horizontal line. The right-hand panel shows the predicted Faber–Jackson relation, i.e. the relation between velocity dispersion (as a proxy for galaxy mass) and absolute magnitude. The predicted low-apparent-magnitude lenses show a similar mass–luminosity relation to that observed for faint elliptical galaxies (Bolton et al. 2008; Shu et al. 2016), although the simulation does not reproduce the small number of low-mass lenses. The luminosity for the BOSS sources is taken as an average of SDSS r, i, z wavelengths, like the model, in order to approximate the VIS filter; the wavelength for the luminosity for the SLACS data is 814 nm.

5.4 Magnification

For magnification, the model predicts a median of 5.65 and a mean of |$\mu =7.10 \pm 0.08$| (standard deviation 4.96), using the |$S_{500\, \mu \textrm {m}}>80$| mJy criterion.

The observed magnifications are shown in Table 2; medians vary from |$\mu =4.8$| in Urquhart et al. (2022) up to |$\mu >8$| in Bussmann et al. (2013) and Wardlow et al. (2013). The range of magnification also varies between observations, particularly at the high end, with Urquhart et al. (2022) reporting a maximum of |$\mu =50$| (though with a large error bar). The LensPop model predicts a maximum of |$\mu =33$|⁠. The plots of magnification in Fig. 3(a) suggest that the model underpredicts magnification from around |$\mu \sim 20$| upwards. This may be due to increased optical depth obtained by galaxy cluster or group lenses, which are not covered in the model.

5.5 Lensed source flux

The (magnified) source flux comparisons are shown in Fig. 3(b). Urquhart et al. (2022) shows a lensed source flux distribution similar that predicted by the model, whereas the observations by Negrello et al. (2017) and Bussmann et al. (2013) show a density of high-flux sources a bit higher than the model, probably for the same reasons discussed above in relation to the results for number density and magnification.

5.6 Einstein radius

For the Einstein radius of the lens systems, the model predicts a mean of |${\rm \theta _{\rm E}}=0.86\pm 0.49$| arcsec (median 0.75 arcsec), using the |$S_{500\, \mu \rm m}>80$| mJy criterion.

Borsato et al. (2024) give the Einstein radius for 23 of its sources (including data from previous studies of its sources), with values ranging from |$0.215^{+0.006}_{-0.003}$|  to |$2.631^{+0.007}_{-0.012}$| arcsec. The observed values are compared to the model in relation to the difference |$z_\textrm {S}-z_\textrm {L}$| in Fig. 4 and are broadly consistent.

5.7 Lens apparent magnitude

Three papers have reported AB apparent magnitudes of the foreground lenses at optical or near-infrared wavelengths: Bussmann et al. (2013) at the SDSS r band, Negrello et al. (2017) at the SDSS i band, and Borsato et al. (2024) at the HST F110W band. Fig. 5 compares these observations with the model prediction for an average of SDSS r, i, and z bands, referred to as VIS.4

Whereas none of the observations show lenses at magnitudes below 23, the model predicts magnitudes down to |$\sim 28$|⁠, several orders of magnitude lower, which is perhaps unexpected. These low-magnitude lenses often relate to sources at higher redshift and systems with lower Einstein radii (see Fig. 9), making their detection difficult.

A selection of other observable properties predicted by the LensPop model for $S_{500}>$80 mJy. The flattening parameter q is the ratio of semimajor to semiminor axes; the population has been truncated at q = 0.2. (Note that more massive galaxies are more likely to be closer to spherical.) The lens velocity dispersion function used in the model was derived from SDSS elliptical galaxies (Choi, Park & Vogeley 2007), and it is assumed that it does not evolve with redshift.
Figure 7.

A selection of other observable properties predicted by the LensPop model for |$S_{500}>$|80 mJy. The flattening parameter q is the ratio of semimajor to semiminor axes; the population has been truncated at q = 0.2. (Note that more massive galaxies are more likely to be closer to spherical.) The lens velocity dispersion function used in the model was derived from SDSS elliptical galaxies (Choi, Park & Vogeley 2007), and it is assumed that it does not evolve with redshift.

The model (with $S_{500\, \mu \rm m}>80$ mJy) suggests that applying a cut-off at source redshift $z_\textrm {S}$ = 2 (as in Bakx et al. 2018) does not significantly affect the properties of the selection: examples showing effect for lens redshift and for magnification shown in this figure.
Figure 8.

The model (with |$S_{500\, \mu \rm m}>80$| mJy) suggests that applying a cut-off at source redshift |$z_\textrm {S}$| = 2 (as in Bakx et al. 2018) does not significantly affect the properties of the selection: examples showing effect for lens redshift and for magnification shown in this figure.

Observations to date have not covered low-flux sources; according to the model, they have also missed low-flux lenses. The model suggests this means they have also missed (left) high-redshift sources and (right) high Einstein-radii sources. (Note lens apparent magnitude shown is average of SDSS r, i, and z magnitudes.)
Figure 9.

Observations to date have not covered low-flux sources; according to the model, they have also missed low-flux lenses. The model suggests this means they have also missed (left) high-redshift sources and (right) high Einstein-radii sources. (Note lens apparent magnitude shown is average of SDSS r, i, and z magnitudes.)

The Faber–Jackson mass-to-light ratios (Faber & Jackson 1976) of the fainter lenses predicted by the model are similar to those observed for faint elliptical galaxies (Bolton et al. 2008; Shu et al. 2016; see the right-hand panel of Fig. 6), although some low-mass lenses that have been detected in these studies are not predicted by the model.

5.8 Other properties

The model also predicts other properties not yet reported in observations, which are shown in Fig. 7.

Velocity dispersion (for the lenses) ranges from about  100 to 350 km s|$^{-1}$| with a mean of |$\sigma =225\pm 50$| km s|$^{-1}$| (median 220 km s|$^{-1}$|⁠).

The radius and shape of both lenses and sources are also predicted: the source half-light radius has mean |$0.19\pm 0.11$| arcsec (median 0.17 arcsec); the lens radius is typically under 1 arcsec, only reaching out to just under 2 arcsec. Most lenses are predicted to be close to circular, but sources are predicted to have a wider range of shapes, with source flattening (circular = 1) of mean |$0.65\pm 0.18$|⁠.

6 LENSES AT LOWER SOURCE FLUX DENSITY

Number counts generated by the LensPop model show that only 2.6 per cent of submillimetre lenses have flux |$S_{500\, \mu \rm m} \ge 80$| mJy (see Table 3). Finding lenses at lower flux, however, is much more difficult since the number of bright unlensed sources rapidly overtakes the number of lenses, exceeding them by about three orders of magnitude at 10 mJy (see Fig. 2), where the model predicts that most lenses will be found.

Table 3.

Predicted counts of strongly lensed submillimetre galaxies by observed flux band.

Lensed fluxPredicted count
|$S_{500\, \mu \textrm {m}}$|Whole skyHerschel dataPer cent
(mJy) 1000 deg|$^2$|(%)
Over 1002 096521.5
90–100696170.5
80–90884210.6
70–801 420351.0
67–702 220561.6
50–603 468872.5
40–505 7681444.2
30–4010 7642697.9
20–3024 95262418.2
10–2084 8442 12161.9
Total137 1123 428100
Lensed fluxPredicted count
|$S_{500\, \mu \textrm {m}}$|Whole skyHerschel dataPer cent
(mJy) 1000 deg|$^2$|(%)
Over 1002 096521.5
90–100696170.5
80–90884210.6
70–801 420351.0
67–702 220561.6
50–603 468872.5
40–505 7681444.2
30–4010 7642697.9
20–3024 95262418.2
10–2084 8442 12161.9
Total137 1123 428100
Table 3.

Predicted counts of strongly lensed submillimetre galaxies by observed flux band.

Lensed fluxPredicted count
|$S_{500\, \mu \textrm {m}}$|Whole skyHerschel dataPer cent
(mJy) 1000 deg|$^2$|(%)
Over 1002 096521.5
90–100696170.5
80–90884210.6
70–801 420351.0
67–702 220561.6
50–603 468872.5
40–505 7681444.2
30–4010 7642697.9
20–3024 95262418.2
10–2084 8442 12161.9
Total137 1123 428100
Lensed fluxPredicted count
|$S_{500\, \mu \textrm {m}}$|Whole skyHerschel dataPer cent
(mJy) 1000 deg|$^2$|(%)
Over 1002 096521.5
90–100696170.5
80–90884210.6
70–801 420351.0
67–702 220561.6
50–603 468872.5
40–505 7681444.2
30–4010 7642697.9
20–3024 95262418.2
10–2084 8442 12161.9
Total137 1123 428100

Attempts are now being made to define selection criteria to reduce the number of false positives in the search for lenses at lower flux.

The Herschel Bright Sources (HerBS) study (Bakx et al. 2018) sought to reduce false positives, still using the Negrello criterion at |$S_{500\, \mu \rm m} \ge 80$| mJy but also setting a minimum to the source redshift (⁠|$z_\textrm {S}>$|2) to select candidates in the H-ATLAS fields. The candidates in the SGP field from this study were used in the Urquhart et al. (2022) study discussed above. To see whether this additional selection criterion might bias the results, we have compared the model properties of lenses with |$z_\textrm {S}>$|2 with lenses at all redshifts, and there does not seem a significant bias in the results. Two of these comparisons (for magnification and lens redshift) are shown in Fig. 8.

The model also predicts that many lower-flux lenses with be at Einstein radii over 2 arcsec (see Fig. 9, right), making identification with the foreground lens difficult. A recent study called Faint Lenses from Associated Selection with Herschel (FLASH; Bakx et al. 2024) has identified lenses at lower fluxes (15–85 mJy) with ALMA observations, after matching submillimetre sources in the H-ATLAS equatorial 12 h field (area 53.56 deg|$^2$|⁠) to nearby sources observed at near-infrared wavelengths in the VISTA Kilo-degree Infrared Galaxy survey (VIKING; Sutherand 2012), which reached a depth of |$M_{\ast }>10^8$| M|$_{\odot }$|⁠, again with |$z_\textrm {S}>2$|⁠. The observations with ALMA for 86 sources confirmed that about half (and potentially all) of these candidates are lenses. Our model is consistent their estimate that |$\sim$|3000 further lenses could be discovered by this method in the Herschel H-ATLAS catalogues (see Table 3 and Fig. 2). Matching to the optical SDSS catalogue proved less successful in identifying candidates (Bakx, Eales & Amvrosiadis 2020). The number density of confirmed lenses (not candidates) is shown also in Fig. 2: if the remaining candidates are confirmed as lenses, the density of the FLASH sources would be very close to the model prediction for |$S_{500\, \mu \rm m}>15$| mJy. The angular separation of the confirmed lenses is compared to the model predictions of the Einstein radius for lenses |$S_{500}>10$| mJy in Fig. 10; there are several very high values in the observed data.

Comparison between the 40 confirmed lenses in FLASH (Bakx et al. 2024) and model predictions for $S_{500}>10$ mJy.
Figure 10.

Comparison between the 40 confirmed lenses in FLASH (Bakx et al. 2024) and model predictions for |$S_{500}>10$| mJy.

Data Release III for H-ATLAS (Ward et al. 2022) also sought to identify near-infrared counterparts in the VIKING survey, in this case for the SGP field, using a matching radius of 15 arcsec to H-ATLAS sources, with the authors estimating a total of 41 lens candidates above 100 mJy and 5923 below 100 mJy.

A study by Lammers et al. (2022) has used machine learning to identify lens candidates in the Planck high-redshift catalogue using the flux of all three Herschel-SPIRE bands, finding new lens candidates embedded in high-density regions and with lower flux.

7 DISCUSSION

Our model predicts that the high-flux sources that can be identified by the Negrello criterion account for only about 2.6 per cent of all submillimetre lenses detected by Herschel with |$500\, \mu$|m fluxes brighter than 10 mJy. The most promising avenue to find more lenses in the near term, therefore, would seem to be to look for the lower-flux lenses among the |$\sim$|million sources in the Herschel catalogues [see Fig. 9(a) which shows that most high-redshift sources remain to be discovered]. The recent FLASH study (Bakx et al. 2024) shows a strong promise of identifying many of the lower-flux lenses: their estimate of |$\sim$|3000 lenses in the Herschel H-ATLAS catalogue is consistent with the number predicted by the model.

Comparison with observations to date broadly confirms the accuracy of predictions by the model – if anything, the model underpredicts the number of sources, particularly the highest-magnification sources. One unexpected result from the model was the extent to which very faint lenses generate observable lens systems – lenses with apparent magnitudes at visible wavelengths (the model uses an average of the SDSS r, i, z bands) down to about 28 (see Fig. 5). The possibility that these ultrafaint lenses might form a subpopulation with different properties to the brighter lenses was explored, but there was no indication that these lenses have different properties than the brighter-lens sources in the sample. It does suggest that some apparently unlensed submillimetre sources may be lensed by faint, undetected lensing galaxies.

The Wide Survey (Euclid Collaboration 2022) of the Euclid Space Telescope (Euclid Collaboration 2024c) will cover 15 000 deg|$^2$| and most of the submillimetre lensed sources discovered to date in its field should be detectable (about 1360 sources will be detectable for |$S_{500\, \mu \textrm {m}}>80$| mJy). The model estimates the VIS instrument (Euclid Collaboration 2024a) will be able to detect about 3000 of these sources in total, but the NISP instrument (Euclid Collaboration 2024b) may detect 28 000: the slope of the assumed SED for these sources means a higher flux at NISP wavelengths (see Table 4 and Fig. 11). This results in many sources being detectable in NISP but not in VIS: the model predicts 25 000 such ‘dropouts’, most of which will be between redshifts 1 and 4 (see Table 4). In many cases, of course, the foreground lens will be detected by VIS, so identifying these dropouts will require a colour or morphological comparison between the sources detected by each instrument. The Einstein radii of these dropouts are shown in Fig. 12. Most of the foreground lenses are potentially detectable by both instruments. The Euclid Deep Survey has greater sensitivity, but the much smaller size of its field (53 deg|$^2$|⁠) will limit its ability to detect more than a handful of lensed submillimetre sources. Holloway et al. (2023) predicted strong lensing frequency in various surveys by using a single empirical catalogue for both source and lens galaxies to identify close galaxy pairs, then applying redshift distributions and similar constraints to those used in LensPop to identify which pairs are lens systems. For the Euclid Wide Area Survey, they predicted 95 000 lenses detectable by VIS, and 61 000 by NISP-H (these figures cover all lenses, not just the lensed submillimetre galaxies discussed in this paper).

Potential detections of submillimetre lensed sources by the Euclid Wide Survey with the VIS and NISP instruments. We have taken waveband centres of $0.72\, \mu$m for VIS and $1.77\, \mu$m for NISP (H band). Horizontal lines indicate detection limits for each instrument. The observed flux at $1.77\, \mu$m is higher than at $0.72\, \mu$m due to the K-correction, assuming the SED of SMMJ2135-0102 (the Cosmic Eyelash) (Swinbank et al. 2010) to convert from the $500\, \mu$m flux.
Figure 11.

Potential detections of submillimetre lensed sources by the Euclid Wide Survey with the VIS and NISP instruments. We have taken waveband centres of |$0.72\, \mu$|m for VIS and |$1.77\, \mu$|m for NISP (H band). Horizontal lines indicate detection limits for each instrument. The observed flux at |$1.77\, \mu$|m is higher than at |$0.72\, \mu$|m due to the K-correction, assuming the SED of SMMJ2135-0102 (the Cosmic Eyelash) (Swinbank et al. 2010) to convert from the |$500\, \mu$|m flux.

The model predictions of the Einstein radii of Euclid dropouts–sources detectable by NISP (H filter) but not by VIS (average of SDSS r, i, z filters). The horizontal line shows the limit of the NISP instrument’s point spread function to separate the source and the lens.
Figure 12.

The model predictions of the Einstein radii of Euclid dropouts–sources detectable by NISP (H filter) but not by VIS (average of SDSS r, i, z filters). The horizontal line shows the limit of the NISP instrument’s point spread function to separate the source and the lens.

Table 4.

Potential number of detections of lensed submillimetre sources, and number of sources detectible by NISP but not by VIS (‘dropouts’), in the 15 000 deg|$^2$| of the Euclid Wide Survey (Euclid Collaboration 2022).

 WavelengthLimitsNo.
Total submm sources 
 Whole sky|$500\, \mu$|m10 mJy137 112
 Euclid Wide Field  51 417
Potential detections by Euclid 
 Detections VIS|$0.72\, \mu$|m25.0 AB3102
 Detections NISP (H)|$1.77\, \mu$|m24.4 AB28 464
Dropouts: in NISP, not in VIS 
 Redshift |$z_\textrm {S}= 1 \!-\! 2$|  4056
|$2{\!-\!}3$|  16 677
|$3{\!-\!}4$|  4438
|$4{\!-\!}5$|  186
|$5{\!-\!}6$|  5
Total dropouts  25 362
 WavelengthLimitsNo.
Total submm sources 
 Whole sky|$500\, \mu$|m10 mJy137 112
 Euclid Wide Field  51 417
Potential detections by Euclid 
 Detections VIS|$0.72\, \mu$|m25.0 AB3102
 Detections NISP (H)|$1.77\, \mu$|m24.4 AB28 464
Dropouts: in NISP, not in VIS 
 Redshift |$z_\textrm {S}= 1 \!-\! 2$|  4056
|$2{\!-\!}3$|  16 677
|$3{\!-\!}4$|  4438
|$4{\!-\!}5$|  186
|$5{\!-\!}6$|  5
Total dropouts  25 362
Table 4.

Potential number of detections of lensed submillimetre sources, and number of sources detectible by NISP but not by VIS (‘dropouts’), in the 15 000 deg|$^2$| of the Euclid Wide Survey (Euclid Collaboration 2022).

 WavelengthLimitsNo.
Total submm sources 
 Whole sky|$500\, \mu$|m10 mJy137 112
 Euclid Wide Field  51 417
Potential detections by Euclid 
 Detections VIS|$0.72\, \mu$|m25.0 AB3102
 Detections NISP (H)|$1.77\, \mu$|m24.4 AB28 464
Dropouts: in NISP, not in VIS 
 Redshift |$z_\textrm {S}= 1 \!-\! 2$|  4056
|$2{\!-\!}3$|  16 677
|$3{\!-\!}4$|  4438
|$4{\!-\!}5$|  186
|$5{\!-\!}6$|  5
Total dropouts  25 362
 WavelengthLimitsNo.
Total submm sources 
 Whole sky|$500\, \mu$|m10 mJy137 112
 Euclid Wide Field  51 417
Potential detections by Euclid 
 Detections VIS|$0.72\, \mu$|m25.0 AB3102
 Detections NISP (H)|$1.77\, \mu$|m24.4 AB28 464
Dropouts: in NISP, not in VIS 
 Redshift |$z_\textrm {S}= 1 \!-\! 2$|  4056
|$2{\!-\!}3$|  16 677
|$3{\!-\!}4$|  4438
|$4{\!-\!}5$|  186
|$5{\!-\!}6$|  5
Total dropouts  25 362

The ground-based surveys by the SPT have proved successful, and they appear to find about one-third the number density of lensed submillimetre galaxies on the sky. The next-generation SPT-3G has a sensitivity |$\sim 5$| times greater than the existing telescope instrumentation, and is planned to survey 1500 deg|$^2$|⁠. Following that, the CMB-S4 project (Gallardo et al. 2022) is planned to be an array of new microwave telescopes at the South Pole and in Chile, and it is projected to find |$\sim 10$| times more DSFGs (Reuter et al. 2020). Further, candidate lenses may also be identified with the ACT (Marsden et al. 2014; Gralla et al. 2020).

Ground-based instrumentation mapping speeds in the |$450\, \mu$|m atmospheric window are not yet fast enough to duplicate the application of the Negrello criterion to Herschel surveys, though the SPT and ACT surveys have successfully achieved equivalent selections at longer wavelengths (Marsden et al. 2014; Reuter et al. 2020). Recent SCUBA-2 surveys found an upturn in number counts of sources |$>10$| mJy at |$850\, \mu$|m (Geach et al. 2017; Garratt et al. 2023), indicating strongly lensed galaxies, so a wider-area search could be used to detect lenses. Matching SCUBA-2 data from surveys at |$450\, \mu$|m to recent near-infrared data from the JWST is starting to yield results (Pearson et al. 2024).

Meanwhile, further developments in millimetre-wave ground-based facilities and detectors offer increasing capabilities for the detection of strongly lensed dusty star-forming galaxies. For example, the TolTEC camera (Bryan et al. 2018) has started operations, and uses a new technology to image large areas of the sky at high sensitivity. It is now installed at the Large Millimeter Telescope (LMT). There is also the Atacama Large Aperture Submillimeter Telescope (AtLAST; Klaassen et al. 2020), a 50-m class single dish observatory, which is currently under design and planned to start observing in the mid-2030s.

NASA has selected the PRIMA far-infrared mission as one of two missions for further study in its Probe-class programme, one of which is planned for launch in the 2032. In the L2 orbit, this should provide synergies with the AtLAST and upgraded ALMA telescopes, the far-infrared region being essential to fully explore questions such as the connections between the growth of galaxies and black holes, and the evolution of metallicity. Greater depth and sensitivity of observations, particularly of bright lensed submillimetre sources, will enable the study of the ISM properties of the sources, and high-redshift lenses will enable the investigation of dark matter halo substructure, to provide an important test of current cosmological assumptions. Understanding the wide variation in number density being found in different fields could also contribute to the justification for a wide-field survey to study a larger area of the sky in such a mission.

ACKNOWLEDGEMENTS

Thanks to Tom Collett for making the LensPop model available and for helpful comments. SS thanks STFC for support under grants ST/P000584/1 and ST/S006087/1. We also thank the anonymous referee for helpful comments.

DATA AVAILABILITY

All the catalogue data used and referenced in this paper are publicly available in the papers cited. The adapted LensPop code presented in this paper is available at https://github.com/chrissedgwick/LensPop_submm.

Footnotes

2

Based also on private correspondence between CW and Z-Y Cai.

4

This follows the original LensPop model, and roughly corresponds to the centre of the waveband observed by the Euclid VIS instrument.

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