Free Access
Issue
A&A
Volume 559, November 2013
Article Number L1
Number of page(s) 5
Section Letters
DOI https://doi.org/10.1051/0004-6361/201322552
Published online 30 October 2013

© ESO, 2013

1. Introduction

Estimating the contribution of dust-obscured star formation in the early Universe is essential to constrain the models of galaxy evolution and has been a growing field of research since the late 1990s (e.g., Blain et al. 2002). Owing to the negative K-correction, distant dusty galaxies (also known as submillimeter galaxies, SMGs) were efficiently detected in submillimeter (submm) surveys and their redshift distribution was found to peak at z ~ 2−3 (Chapman et al. 2005).

With the advent of the new generation of submm instruments the hunt for the highest-redshift SMGs progressed at a rapid pace in recent years. The first SMG beyond z = 5 was discovered by Capak et al. (2011) with JCMT/AzTEC. Based on a Herschel detection and a 30 m/EMIR follow-up, Combes et al. (2012) discovered an interacting system of bright SMGs at z = 5.243. At the same time, Walter et al. (2012) used IRAM instruments and found that an SMG known for years in the Hubble deep field is actually a system of galaxies lying at z = 5.2. Following-up on SPT bolometer observations, Vieira et al. (2013), and Weiß et al. (2013) measured the spectroscopic redshifts of 23 new SMGs with ALMA. Of these, two are at z > 5. In parallel, Riechers et al. (2013) observed red SMGs based on Herschel colors with CARMA and discovered the highest-redshift SMG at z = 6.34.

In terms of luminosity, however, all SMGs detected so far beyond z > 4 are ultraluminous infrared galaxies1 (ULIRGs) with LFIR > 1012L or even hyperluminous infrared galaxies (HyLIRGs) with LFIR > 1013L, implying star formation rates SFRs ≳103M yr-1. As confirmed by recent ALMA number counts (Karim et al. 2013; Hatsukade et al. 2013), these extreme starbursts are not representative of the average population of dusty star-forming galaxies at z > 4, and the luminous infrared galaxies (LIRGs) with LFIR ~ 1011L that should represent the majority are yet to be discovered. The lensing power provided by massive galaxy clusters is widely used to detect distant galaxies (e.g., Smail et al. 1997). However, the recent discovery of substructures in the Sunyaev-Zel’dovich (SZ) increment of interacting clusters (Korngut et al. 2011; Mroczkowski et al. 2012) may complicate the interpretation of submm observations. We report here the discovery of a good candidate for a normal star forming-galaxy at z = 6.1 lensed by the cluster AS1063 (RXCJ2248.7-4431) and discuss the possibility that this source may instead correspond to substructures in the SZ effect. We adopt the ΛCDM concordance cosmology: H0 = 71 km s-1 Mpc-1, ΩM = 0.27 and ΩΛ = 0.73.

thumbnail Fig. 1

105′′ × 78′′ thumbnails showing the central region of the cluster AS1063 at 3.6, 24, 70, 100, 160, 250, 350, 500, and 870 μm (from left to right and from top to bottom). The contours correspond to the 870 μm emission detected with LABOCA at 3, 4, 5 and 6-σ (σ = 1.1 mJy). The Herschel drop-out source can be seen around the BCG (marked by the green cross) at the center of the 870 μm map. The arrows in the 100 μm map point at two low-z sources (z = 0.3 and 0.6), whose 870 μm emission is blended with the southwestern part of the high-z source.

thumbnail Fig. 2

Left: residuals of the 870 μm emission after subtracting the two low-z sources. The cyan contours represent the z = 6 source model lensed by the cluster and observed at the resolution of LABOCA. The four images formed are labeled L1, L2, L3, and L4. The contour levels are at 0.25, 0.5 and 0.75 × SL1, where SL1 is the peak flux of the L1 image. The critical lines for z = 6 are overlaid in red. Right: HST color image of the cluster center of AS1063 assembled from images in the filters F606W (blue), F775W (green) and F125W (red). The white squares show the positions of the 4 images of a z = 6.1 background source. The thumbnails at the right are 3′′ × 3′′ zooms into these 4 images. The green contours show the 870 μm emission at 2.6, 3.9, 5.2, and 6.5 mJy (RMS = 1.1 mJy). The dotted green circle represents the LABOCA beam (FWHM = 24.3′′).

thumbnail Fig. 3

Left panel: χ2 map in the z-Td plane, where z and Td are the redshift and the dust temperature assumed for the 870 μm source detected with LABOCA. The two 870 μm peaks shown in Fig. 2 and the two low-z sources (at z = 0.6 and 0.3) shown in Fig. 1 are fitted simultaneously at all wavelengths from 100 to 870 μm assuming a modified black-body SED for each source (7 free parameters). The white contours show the 1σ, 2σ, 3σ, and 4σ confidence levels. Middle and right panels: best-fit FIR luminosity in log without any lensing correction in the z-Td plane for the two 870 μm peaks. The white contours are spaced by 0.5 dex. The χ2 3σ confidence level is overplotted in red.

thumbnail Fig. 4

Left: SED fits to the HST/ACS-WFC3 photometry of the images B and D (A is contaminated by a nearby source, C is in a noisy strip of the detector). The best fits give z = 6.3 ± 0.3. The inset shows the VLT/FORS spectrum of the B image with the Ly-α line clearly detected at z = 6.107 (Richard et al., in prep.). The x-axis of the inset corresponds to the observed wavelength in Å. Right: SED fits to the 870 μm northern peak taking into account the upper limits listed in the Table 1 and assuming z = 6.1 and μ = 10 (all the fluxes are corrected for magnification). The modified black-body SED with Td = 30 K is shown in blue, it gives a FIR luminosity LFIR = 5 × 1011L. The other templates come from the the Chary & Elbaz (2001) library (red), the Vega et al. (2008) library (green), the Michałowski et al. (2010a,b) library (cyan), and the Polletta et al. (2007) library (orange). The template in magenta corresponds to the SMM J2135-0102 model (Swinbank et al. 2010; Ivison et al. 2010).

Table 1

Photometry of the 870 μm northern peak with the wavelengths (λ) given in μm and the flux densities (Sν) in mJy.

2. Observations and data reduction

Herschel observations of AS1063 at 70, 100, 160, 250, 350, and 500 μm were obtained as part of the Herschel Lensing Survey (program IDs: KPOT_eegami_1, OT2_trawle_3) as described by Egami et al. (2010) and Rawle et al. (2010). The full widths at half maximum (FWHM) of the beams are 5.2′′, 7.7′′, 11.3′′,18.1′′, 24.9, and 36.6′′, respectively.

Observations of AS1063 at 870 μm with the Large APEX Bolometer Camera (LABOCA, Siringo et al. 2009) were obtained in the frame of the LABOCA Lensing Survey, a large program coordinated by ESO and the MPI (E187A0437A, M-087.F-0005-2011). The observations were carried out in April and May 2012 in excellent weather conditions with an average precipitable water vapor (PWV) of 0.5 mm. The spiral mapping pattern was chosen to cover a circular area of ~8′ in diameter centered on the clusters. Absolute flux calibration was achieved through observations of Mars, Uranus, and Neptune as well as secondary calibrators and was found to be accurate to within ~10% (rms). The atmospheric attenuation was determined via skydips about every 2 h and also from independent data from the APEX radiometer which measures the line-of-sight water vapor column every minute (see Siringo et al. 2009, for a more detailed description). Pointing was checked on the nearby quasars and was found to be stable within 3′′ (rms). The data were reduced using the bolometer array data analysis software (BoA Schuller 2012). The effective resolution of the maps is 24.3′′. The pixel noise rms at the center of the map is 1.1 mJy beam-1.

3. Results

The LABOCA map shows a source at the center of cluster AS1063 (Fig. 1) that is extended at the resolution of LABOCA (beam FWHM = 24.3′′) and centered on the brightest cluster galaxy (BCG). Its northeastern part has no counterparts in any of the Herschel bands or in the 24 μm MIPS band; it is a very red Herschel drop-out. It peaks at 7.6 ± 1.1 mJy and its 3-σ upper limit at 500 μm is 13 mJy, implying a flux ratio S870/S500 ≥ 0.5.

Although the BCG is not detected with Herschel (Rawle et al. 2012), the southwestern part of the 870 μm source is partly blended with the emission from two lower-redshift sources with spectroscopic redshifts z = 0.6 and 0.3 (Walth et al., in prep.). To extract the source properties in this crowded field we applied a multiwavelength simultaneous fit of the maps assuming a modified black-body spectral energy distribution (SED) shape (following Blain et al. 2003,with α = 2.9 and β = 1.5) for all the sources. There are two free parameters per source, corresponding to the FIR luminosity and the wavelength of the SED peak (determined by the dust temperature, Td and the redshift z). In a first iteration we ran the procedure with the two low-z sources only. The residuals are shown with green contours in Fig. 2; they represent the 870 μm foreground-deblended emission. The morphology and the distribution of this emission with respect to the critical lines, with two peaks on each side of the BCG – one to the northeast at 7.6 mJy and the other to the southwest at 5.3 mJy – suggest either a multiply imaged background source or substructures in the SZ increment. We discuss the two interpretations in turn in the following section.

4. Discussion

4.1. Photometry of a putative lensed source

In a second iteration we ran the photometry procedure again to simultaneously fit two sources at the positions of the 870 μm peaks in addition to the two low-z sources. We assumed that the two 870 μm sources are the images of a single lensed source, which implies a unique peak wavelength (same redshift and dust temperature) and a total of seven free parameters. The χ2 value gives us an indication of the quality of the fit, it is plotted against the redshift and the dust temperature of the lensed source in Fig. 3 with contours indicating the confidence levels. At a given dust temperature, the 870 μm flux and the Herschel upper limits impose a lower limit to the redshift. Thus, if we assume Td > 20 K, as observed in most SMGs including those with the lowest luminosities (see, e.g. Symeonidis et al. 2013; Magnelli et al. 2012; or Swinbank et al. 2010) the source must be at z ≥ 2. If Td = 30 K (mean value for LFIR ~ 1011.5L according to the same references), the redshift must be ≥4. In addition, if we assumed z < 7, the observed (i.e., uncorrected for lensing) FIR luminosities of the two peaks must be <1013  L (Fig. 3).

4.2. Lens and source models

Based on the identification of 13 multiple-image systems, five of which have a spectroscopic redshift and the others have a reliable photometric redshift, we built a lens model of the cluster (Richard et al., in prep.). The critical lines computed with this model for z = 6 are shown in Fig. 2 as red lines.

As shown in the left panel of Fig. 2, we can reproduce the two 870 μm peaks by assuming a single source modeled by a circular Gaussian of FWHM = 2 kpc at z = 6. Four images of the source, labeled L1, L2, L3, and L4, are actually formed in a classical quad configuration; their magnifications are 10.8, 3.7, 7.1, and 3.1, respectively, for a total magnification μ = 24.7. The images L3 and L4 are ~3× fainter than L1 and are therefore at ~2σ, which is consistent with no detection. To obtain an L1-image brighter than the others it needs to be aligned with a galaxy of the cluster such that it undergoes an additional magnification. In this model the L1-image is formed close to two galaxies of the cluster. The differences between the model and the data are ≤3σ. Because the angular distance between the two peaks (L1 and L2) decreases with decreasing redshift, our lens model puts a strong constraint on the redshift, which must be ≥4 if we assume a single source. We note that it is possible that the southern source arises from lensing of a second background galaxy, but this would imply multiple sources with similar very red SEDs.

Hence, according to our lens+source model and to the photometry, the luminosity of the putative lensed source corrected for lensing is most likely <1012  L, which is an order of magnitude lower than that of SMGs detected at z > 4 so far. For example, if we assume Td = 30 K and z = 6, the observed luminosity of the northern peak is LFIR ~ 5 × 1012  L (middle panel of Fig. 3), with μL1 = 10 this implies an intrinsic luminosity LFIR ~ 5 × 1011  L.

4.3. A plausible HST counterpart at z = 6.107

In the HST images and catalogs provided by the CLASH project we identified four objects (named 6.1, 6.2, 6.3 and 6.4, in Fig. 2 as in Richard et al., in prep.), which might be the four images of a high-z source. Indeed, fitting various SED templates to the HST photometry, we derived a redshift z = 6.3 ± 0.3 (Fig. 4) and the image positions were accurately reproduced by our lens model for a source at z ~ 6. To confirm the redshift we recently obtained VLT/FORS spectroscopy of the 6.2, 6.3, and 6.4 images. The Ly-α line is clearly detected at z = 6.107 (Fig. 4)2. The magnifications are μ6.1 = 17.1, μ6.2 = 6.7, μ6.3 = 5.9, and μ6.4 = 2.5.

The image 6.1 of this HST source benefits from a boost by the same two galaxies of the cluster as in the model discussed above for the 870 μm emission. However, if they are both at the same redshift the LABOCA source needs to be offset from the HST source to reproduce the southern peak (L2); it is at ~30 kpc in the above model. The distance between the two sources is mainly constrained by the flux ratio of the two 870 μm peaks, it may be in the range 10−30 kpc, suggesting interacting galaxies.

The SFR of the HST source estimated from the UV continuum and from the Ly-α line and corrected for lensing are SFRUV ~ 5 M yr-1 and SFRLyα ~ 15 M yr-1. The Spitzer detection of 6.3 at 3.6 μm implies (H-3.6) ≈ 2, redder than for typical z ~ 6−8 LBGs (McLure et al. 2011). SED fits with young populations predict up to Av ~ 1.5, implying a reprocessed IR luminosity of ~4 × 1011L, that is an SFRIR ~ 70 M yr-1.

At z = 6.1 the upper limit on the FIR luminosity of the 870 μm source depends on the SED template assumed, as illustrated in the right panel of Fig. 4. The intrinsic luminosities obtained are in the range [5−15]  × 1011L, which corresponds to an SFR in the range [80−260] M yr-1. The star-forming properties of the HST and the LABOCA sources may therefore be similar.

4.4. SZ substructure in the merging cluster?

thumbnail Fig. 5

Chandra X-ray map of AS1063 overlaid with the LABOCA residuals in green contours starting at 2σ and spaced by 1σ. The blue circles mark the positions of the two components of the β-model fitted by Gómez et al. (2012) to the Chandra data.

AS1063 is known to produce a strong SZ effect (Plagge et al. 2010), which was detected at S/N ~ 17 with Planck (Planck Collaboration 2013b). Furthermore, Gómez et al. (2012) showed that this cluster is undergoing a major merging event close to the plane of the sky, and there has been growing evidence in recent years, both from observations and simulations, that such a merging configuration can produce small-scale substructures in the SZ (Korngut et al. 2011; Mroczkowski et al. 2012; Ruan et al. 2013). These substructures may be caused by shocks and inhomogeneities in the hot gas and their increment could peak at 300−400 GHz (i.e., 750−1000 μm, Ruan et al. 2013). The SED of these SZ substructures may therefore be consistent with the Herschel and LABOCA photometry. We also note that the northern LABOCA peak is close to the secondary mass component identified by Gómez et al. (2012) (Fig. 5), and its elongated morphology would be consistent with shocked gas. The large-scale SZ would be filtered out by the LABOCA observations and the data reduction, and we would be seeing the substructures related to the merging event. More quantitatively, the measurement from the Planck nominal survey (Planck Collaboration 2013a) at 353 GHz is 0.12 MJy/sr. It can be used to scale the SZ profile modeled by Plagge et al. (2010) for this cluster and thus estimate the peak flux expected at the center of the LABOCA map, ignoring spatial filtering. We obtain ~7 mJy/beam. The fraction of this flux filtered by the observations is difficult to estimate from the data because it depends on the morphology of the SZ increment. This will be studied in a forthcoming paper by Zemcov et al. (in prep.).

5. Conclusion

With APEX/LABOCA we have detected an extended 870 μm source aligned with the center of the cluster AS1063. The source is not detected at shorter FIR/submm wavelengths. We found two possible interpretations of this peculiar source: it may be the dusty component of an HST-detected strongly lensed galaxy at z = 6.1 or substructures in the SZ effect. The current observations do not allow us to conclude in favor of one of the two interpretations.

There are two routes to decide between the different origins of the features we discovered: submm observations with ALMA are expected to allow us to resolve the four images of the high-z source, while lower-frequency observations (150 GHz) are required to measure the decrement of the SZ substructures.


1

The lowest-luminosity SMG detected so far at z > 4 has LFIR = 1.3 × 1012L and is located at z = 4.04 (Knudsen et al. 2010).

2

Recently Bradley et al. (2013) mentioned a quintuple system in this cluster, but they listed only three of our identified images (6.1, 6.3, and 6.4). After the submission of our letter two other articles appeared online (Monna et al. 2013; Balestra et al. 2013) that describe this system in more detail and provide a similar spectroscopic redshift. We confirm the fifth image identified by these authors and show it in Fig. 2 as 6.5.

Acknowledgments

We thank the referee for insightful and constructive comments. We are very grateful to the APEX staff for their great help with the observations and their warm welcome at the Sequitor base. We gratefully aknowledge the ESO director for the VLT/FORS program DDT 291.A-5027. We kindly acknowledge Étienne Pointecouteau for providing us with the Planck data and for useful discussions. This work received support from the Agence Nationale de la Recherche bearing the reference ANR-09-BLAN-0234. JPK thanks for support from the European Research Council (ERC) advanced grant Light on the Dark (LIDA) and CNRS. IRS acknowledges support from STFC (ST/I001573/1), a Leverhulme Fellowship, the ERC Advanced Investigator programme DUSTYGAL 321334, and a Royal Society/Wolfson Merit Award. AMS acknowledges an STFC Advanced Fellowship through grant ST/H005234/1. K.K. thanks the Swedish Research Council for support (grant 621-2011-5372).

References

  1. Balestra, I., Vanzella, E., Rosati, P., et al. 2013, A&A, accepted [arXiv:1309.1593] [Google Scholar]
  2. Blain, A. W., Smail, I., Ivison, R. J., Kneib, J.-P., & Frayer, D. T. 2002, Phys. Rep., 369, 111 [NASA ADS] [CrossRef] [Google Scholar]
  3. Blain, A. W., Barnard, V. E., & Chapman, S. C. 2003, MNRAS, 338, 733 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bradley, L. D., Zitrin, A., Coe, D., et al. 2013, ApJ, submitted [arXiv:1308.1692] [Google Scholar]
  5. Capak, P. L., Riechers, D., Scoville, N. Z., et al. 2011, Nature, 470, 233 [Google Scholar]
  6. Chapman, S. C., Blain, A. W., Smail, I., & Ivison, R. J. 2005, ApJ, 622, 772 [NASA ADS] [CrossRef] [Google Scholar]
  7. Chary, R., & Elbaz, D. 2001, ApJ, 556, 562 [NASA ADS] [CrossRef] [Google Scholar]
  8. Combes, F., Rex, M., Rawle, T. D., et al. 2012, A&A, 538, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Egami, E., Rex, M., Rawle, T. D., et al. 2010, A&A, 518, L12 [CrossRef] [EDP Sciences] [Google Scholar]
  10. Gómez, P. L., Valkonen, L. E., Romer, A. K., et al. 2012, AJ, 144, 79 [NASA ADS] [CrossRef] [Google Scholar]
  11. Hatsukade, B., Ohta, K., Seko, A., Yabe, K., & Akiyama, M. 2013, ApJ, 769, L27 [NASA ADS] [CrossRef] [Google Scholar]
  12. Ivison, R. J., Swinbank, A. M., Swinyard, B., et al. 2010, A&A, 518, L35 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Karim, A., Swinbank, A. M., Hodge, J. A., et al. 2013, MNRAS, 432, 2 [NASA ADS] [CrossRef] [Google Scholar]
  14. Knudsen, K. K., Kneib, J.-P., Richard, J., Petitpas, G., & Egami, E. 2010, ApJ, 709, 210 [Google Scholar]
  15. Korngut, P. M., Dicker, S. R., Reese, E. D., et al. 2011, ApJ, 734, 10 [NASA ADS] [CrossRef] [Google Scholar]
  16. Magnelli, B., Lutz, D., Santini, P., et al. 2012, A&A, 539, A155 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. McLure, R. J., Dunlop, J. S., de Ravel, L., et al. 2011, MNRAS, 418, 2074 [NASA ADS] [CrossRef] [Google Scholar]
  18. Michałowski, M., Hjorth, J., & Watson, D. 2010a, A&A, 514, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Michałowski, M. J., Watson, D., & Hjorth, J. 2010b, ApJ, 712, 942 [NASA ADS] [CrossRef] [Google Scholar]
  20. Monna, A., Seitz, S., Greisel, N., et al. 2013, MNRAS, submitted [arXiv:1308.6280] [Google Scholar]
  21. Mroczkowski, T., Dicker, S., Sayers, J., et al. 2012, ApJ, 761, 47 [NASA ADS] [CrossRef] [Google Scholar]
  22. Plagge, T., Benson, B. A., Ade, P. A. R., et al. 2010, ApJ, 716, 1118 [NASA ADS] [CrossRef] [Google Scholar]
  23. Planck Collaboration 2013a, A&A, submitted [arXiv:1303.5062] [Google Scholar]
  24. Planck Collaboration 2013b, A&A, submitted [arXiv:1303.5089] [Google Scholar]
  25. Polletta, M., Tajer, M., Maraschi, L., et al. 2007, ApJ, 81 [NASA ADS] [CrossRef] [Google Scholar]
  26. Rawle, T. D., Chung, S. M., Fadda, D., et al. 2010, A&A, 518, L14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Rawle, T. D., Edge, A. C., Egami, E., et al. 2012, ApJ, 747, 29 [NASA ADS] [CrossRef] [Google Scholar]
  28. Riechers, D. A., Bradford, C. M., Clements, D. L., et al. 2013, Nature, 496, 329 [Google Scholar]
  29. Ruan, J. J., Quinn, T. R., & Babul, A. 2013, MNRAS, 432, 3508 [NASA ADS] [CrossRef] [Google Scholar]
  30. Schuller, F. 2012, in SPIE Conf. Ser., 8452 [Google Scholar]
  31. Siringo, G., Kreysa, E., Kovács, A., et al. 2009, A&A, 497, 945 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Smail, I., Ivison, R. J., & Blain, A. W. 1997, ApJ, 490, L5 [NASA ADS] [CrossRef] [Google Scholar]
  33. Swinbank, A. M., Smail, I., Longmore, S., et al. 2010, Nature, 464, 733 [Google Scholar]
  34. Symeonidis, M., Vaccari, M., Berta, S., et al. 2013, MNRAS, 431, 2317 [NASA ADS] [CrossRef] [Google Scholar]
  35. Vega, O., Clemens, M. S., Bressan, A., et al. 2008, A&A, 484, 631 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Vieira, J. D., Marrone, D. P., Chapman, S. C., et al. 2013, Nature, 495, 344 [NASA ADS] [CrossRef] [Google Scholar]
  37. Walter, F., Decarli, R., Carilli, C., et al. 2012, Nature, 486, 233 [NASA ADS] [CrossRef] [Google Scholar]
  38. Weiß, A., De Breuck, C., Marrone, D. P., et al. 2013, ApJ, 767, 88 [NASA ADS] [CrossRef] [Google Scholar]

All Tables

Table 1

Photometry of the 870 μm northern peak with the wavelengths (λ) given in μm and the flux densities (Sν) in mJy.

All Figures

thumbnail Fig. 1

105′′ × 78′′ thumbnails showing the central region of the cluster AS1063 at 3.6, 24, 70, 100, 160, 250, 350, 500, and 870 μm (from left to right and from top to bottom). The contours correspond to the 870 μm emission detected with LABOCA at 3, 4, 5 and 6-σ (σ = 1.1 mJy). The Herschel drop-out source can be seen around the BCG (marked by the green cross) at the center of the 870 μm map. The arrows in the 100 μm map point at two low-z sources (z = 0.3 and 0.6), whose 870 μm emission is blended with the southwestern part of the high-z source.

In the text
thumbnail Fig. 2

Left: residuals of the 870 μm emission after subtracting the two low-z sources. The cyan contours represent the z = 6 source model lensed by the cluster and observed at the resolution of LABOCA. The four images formed are labeled L1, L2, L3, and L4. The contour levels are at 0.25, 0.5 and 0.75 × SL1, where SL1 is the peak flux of the L1 image. The critical lines for z = 6 are overlaid in red. Right: HST color image of the cluster center of AS1063 assembled from images in the filters F606W (blue), F775W (green) and F125W (red). The white squares show the positions of the 4 images of a z = 6.1 background source. The thumbnails at the right are 3′′ × 3′′ zooms into these 4 images. The green contours show the 870 μm emission at 2.6, 3.9, 5.2, and 6.5 mJy (RMS = 1.1 mJy). The dotted green circle represents the LABOCA beam (FWHM = 24.3′′).

In the text
thumbnail Fig. 3

Left panel: χ2 map in the z-Td plane, where z and Td are the redshift and the dust temperature assumed for the 870 μm source detected with LABOCA. The two 870 μm peaks shown in Fig. 2 and the two low-z sources (at z = 0.6 and 0.3) shown in Fig. 1 are fitted simultaneously at all wavelengths from 100 to 870 μm assuming a modified black-body SED for each source (7 free parameters). The white contours show the 1σ, 2σ, 3σ, and 4σ confidence levels. Middle and right panels: best-fit FIR luminosity in log without any lensing correction in the z-Td plane for the two 870 μm peaks. The white contours are spaced by 0.5 dex. The χ2 3σ confidence level is overplotted in red.

In the text
thumbnail Fig. 4

Left: SED fits to the HST/ACS-WFC3 photometry of the images B and D (A is contaminated by a nearby source, C is in a noisy strip of the detector). The best fits give z = 6.3 ± 0.3. The inset shows the VLT/FORS spectrum of the B image with the Ly-α line clearly detected at z = 6.107 (Richard et al., in prep.). The x-axis of the inset corresponds to the observed wavelength in Å. Right: SED fits to the 870 μm northern peak taking into account the upper limits listed in the Table 1 and assuming z = 6.1 and μ = 10 (all the fluxes are corrected for magnification). The modified black-body SED with Td = 30 K is shown in blue, it gives a FIR luminosity LFIR = 5 × 1011L. The other templates come from the the Chary & Elbaz (2001) library (red), the Vega et al. (2008) library (green), the Michałowski et al. (2010a,b) library (cyan), and the Polletta et al. (2007) library (orange). The template in magenta corresponds to the SMM J2135-0102 model (Swinbank et al. 2010; Ivison et al. 2010).

In the text
thumbnail Fig. 5

Chandra X-ray map of AS1063 overlaid with the LABOCA residuals in green contours starting at 2σ and spaced by 1σ. The blue circles mark the positions of the two components of the β-model fitted by Gómez et al. (2012) to the Chandra data.

In the text

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Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.