Issue |
A&A
Volume 546, October 2012
|
|
---|---|---|
Article Number | A20 | |
Number of page(s) | 19 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/201118647 | |
Published online | 01 October 2012 |
Galaxy counterparts of intervening high-z sub-DLAs/DLAs and Mg ii absorbers towards gamma-ray bursts⋆
1
Centre for Astrophysics and Cosmology, Science Institute,
University of Iceland, Dunhagi
3, 107
Reykjavík,
Iceland
e-mail: sts30@hi.is
2
Dark Cosmology Centre, Juliane Maries Vej 30, 2100
København Ø,
Denmark
3
Thüringer Landessternwarte Tautenburg,
Sternwarte 5, 07778
Tautenburg,
Germany
4
European Southern Observatory, Alonso de CÃşrdova 3107, Vitacura,
Casilla 19001, Santiago 19, Chile
5
Department of Astronomy, University of Chicago,
5640 S. Ellis Ave.,
Chicago, IL
60637,
USA
6
Department of Astronomy, California Institute of
Technology, MC 249-17, 1200 East
California Blvd., Pasadena, CA
91125,
USA
7
Department of Physics, University of Warwick,
Coventry, CV4 7AL, UK
8
Department of Physics and Astronomy, University of
Leicester, Leicester
LE1 7RH,
UK
9
Department of Physics and Astronomy, University of
Victoria, Victoria,
British Columbia, V8P 1A1, Canada
10
European Southern Observatory, Karl-Schwarzschildstrasse 2, 85748, Garching, Germany
11
UCO/Lick Observatory, University of California,
1156 High Street, Santa Cruz, CA
95064,
USA
12
Centre for Astrophysics Research, University of
Hertfordshire, Hatfield, Herts
AL10 9AB,
UK
13
Astrophysikalisches Institut Potsdam, An der Sternwarte 16, 14482
Potsdam,
Germany
14
Institut d’Astrophysique et Géophysique, Université de
Liège, Allée du 6 Août, 17 Bâtiment
B5C, 4000
Liège,
Belgium
Received:
14
December
2011
Accepted:
24
July
2012
We present the first search for galaxy counterparts of intervening high-z (2 < z < 3.6) sub-damped Lyα absorbers (sub-DLAs) and DLAs towards gamma-ray bursts (GRBs). Our final sample comprises five intervening sub-DLAs and DLAs in four GRB fields. To identify candidate galaxy counterparts of the absorbers we used deep optical- and near-infrared imaging, and low-, mid- and high-resolution spectroscopy acquired with 6-m to 10-m class telescopes, the Hubble and the Spitzer Space Telescopes. Furthermore, we used the spectroscopic information and spectral-energy-distribution fitting techniques to study them in detail. Our main result is the detection and spectroscopic confirmation of the galaxy counterpart of the intervening DLA at z = 3.096 in the field of GRB 070721B (zGRB = 3.6298) as proposed by other authors. We also identify good candidates for the galaxy counterparts of the two strong Mg ii absorbers at z = 0.6915 and 1.4288 towards GRB 050820A (zGRB = 2.615). The properties of the detected DLA galaxy are typical for Lyman-break galaxies (LBGs) at similar redshifts; a young, highly star-forming galaxy that shows evidence for a galactic outflow. This supports thehypothesis that a DLA can be the gaseous halo of an LBG. In addition, we report a redshift coincidence of different objects associated with metal lines in the same field, separated by 130–161 kpc. The high detection rate of three correlated structures on a length scale as short as ~150 kpc in two pairs of lines of sight is intriguing. The absorbers in each of these are most likely not part of the same gravitationally bound structure. They more likely represent groups of galaxies.
Key words: Galaxy: evolution / galaxies: individual: DLA J0212-0211 / quasars: individual: QSO J1408-0346 / gamma-ray burst: general / quasars: absorption lines / Galaxy: formation
Based in part on observations collected at the European Organisation for Astronomical Research in the Southern Hemisphere, Chile, as part of the programs 075.A-0603, 075.A-0385, 077.A-0312, 084.A-0303, 177.A-0591 and 275.D-5022. Based in part on observations made with the NASA/ESA Hubble Space Telescope, obtained at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555. Based in part on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. Based in part on observations obtained at the Gemini Observatory, which is operated by the Association of Universities for Research in Astronomy, Inc., under a co-operative agreement with the NSF on behalf of the Gemini partnership.
© ESO, 2012
1. Introduction
Intervening absorption-line systems found in quasi-stellar object (quasar, QSO) spectra
play an important role in the observational study of galaxy formation and evolution. Unlike
emission-selected objects, QSO absorption-line systems probe structures over the full mass
range from underdense regions to massive virialised dark matter haloes (Rauch 1998; Wolfe
et al. 2005). The most neutral-hydrogen-rich absorption systems are called damped
Lyα absorbers (DLAs), if the neutral hydrogen column density,
,
exceeds 2 × 1020 cm-2 (
) and sub-DLAs (or sometimes
super-Lyman-limit systems), if the column density in neutral hydrogen is between
~1019 and 2 × 1020 cm-2 (Wolfe et al. 2005, and references therein). The DLAs represent the main
reservoir of neutral hydrogen in the high-z (z > 2)
Universe (Wolfe 1986; Péroux et al. 2005; Wolfe et al.
2005). Since the advent of QSO absorption-line spectroscopy, over 1000 intervening
sub-DLAs and DLAs have been detected (Prochaska et al.
2005; Noterdaeme et al. 2009; Prochaska & Wolfe 2009).
Although their frequency and chemical composition are well known, the nature of their galaxy counterparts (hereafter called DLA galaxies) has remained poorly constrained for many years. Various models for DLA galaxies exist: e.g. rapidly-rotating proto-galactic disks at high redshift (Prochaska & Wolfe 1997, 1998; Wolfe & Prochaska 1998), low surface brightness galaxies (Jimenez et al. 1999), faint and small gas-rich dwarf galaxies (Tyson 1988; Haehnelt et al. 1998; Okoshi & Nagashima 2005), compact galaxies (Nagamine et al. 2007), and gaseous haloes of high-z LBGs (Fynbo et al. 1999; Møller et al. 2002; Fynbo et al. 2008; Rafelski et al. 2011). Chen & Lanzetta (2003) showed that the majority of low-z sub-DLAs and DLAs are late-type galaxies and only a few are elliptical or dwarf galaxies. The conclusion that these low-z absorbers are indeed sub-DLAs or DLAs is drawn indirectly. Below z ≲ 1.5, the Lyα absorption line is below 3000 Å, a spectral range that is inaccessible with ground-based telescopes. Ellison (2006) showed that Mg ii absorbers with EWrest(Mg ii λ2796) ≥ 1 Å, so-called strong Mg ii absorbers, are likely sub-DLAs or DLAs (see also Rao & Turnshek 2000; Ellison et al. 2009).
The successfully identified DLA galaxies allow the study of objects at the very faint end of the galaxy luminosity function (LF), objects that are usually missed in galaxy surveys. During the past 25 years, several deep-imaging campaigns have been carried out, but only with limited success (e.g. Smith et al. 1989; Djorgovski et al. 1996; Le Brun et al. 1997; Fynbo et al. 1999; Warren et al. 2001; Møller et al. 2002; Fumagalli et al. 2010; see also Bouché et al. 2012). Up to now, only about 17 sub-DLA and DLA galaxies have been identified below the redshift of unity (e.g. Péroux et al. 2011, and reference therein) and more than 80 DLA galaxy candidates have been reported to date (e.g. Rao et al. 2011). For the majority of these DLA galaxy candidates there is no spectroscopic confirmation yet. At high redshift the situation is worse; only nine intervening sub-DLAs and DLAs with redshifts between 2 and 3.15 have a confirmed galaxy counterpart (high-z; Djorgovski et al. 1996; Møller et al. 2002; Christensen et al. 2004b; Møller et al. 2004; Weatherley et al. 2005; Fynbo et al. 2010, 2011; Péroux et al. 2012; Bouché et al. 2012; Krogager et al. 2012; Noterdaeme et al. 2012, and references therein). In addition to those, a few associated DLAs, i.e. zabs ≈ zem, have detected galaxy counterparts (e.g. Fynbo et al. 1999; Møller & Warren 1993; Ellison et al. 2002; Møller et al. 2004; Adelberger et al. 2006).
Apart from the faintness of the galaxy counterparts, another problem that hampers the search for DLA galaxies is the glare of the bright background QSOs. Counterparts with a small angular distance from the QSO (impact parameter) are difficult to recover. This may lead to a possible misidentification of the DLA galaxy and hence to an overestimation of its size, because DLAs at small impact parameters are easily missed. A different class of background light sources, gamma-ray bursts (GRBs), provide a complementary approach to the problem. A GRB is a transient phenomenon, outshining the known Universe in γ-rays for a fraction of a second up to hundreds of seconds (e.g. Kouveliotou et al. 1993; Zhang & Mészáros 2004). This short-lived emission is followed by an afterglow that can usually be detected from the X-rays over optical/near-infrared (NIR) wavelengths to the radio for several weeks (e.g. Racusin et al. 2009; Kann et al. 2010; Chandra & Frail 2012). An afterglow can outshine the brightest quasars by several orders of magnitudes, but only for a very short period of time (~1 h– ~1 day; e.g. Bloom et al. 2009; Kann et al. 2010). Similar to QSOs, GRBs can be found throughout most of the observable Universe, the most distant spectroscopically confirmed burst being GRB 090423 at z ~ 8.3 (Tanvir et al. 2009; Salvaterra et al. 2009). Indeed, since most GRBs are associated with the death of massive stars (Hjorth & Bloom 2011; Woosley 2011), this should allow us to detect them at higher redshifts than QSOs. In short, GRB afterglows can be brighter than QSOs but they are ephemeral, i.e. they vanish within a couple of months. This leaves the line-of-sight clear and without any interference from a bright object (e.g. Masetti et al. 2003; Vreeswijk et al. 2003; Jakobsson et al. 2004; Ellison et al. 2006; Prochter et al. 2006; Henriksen 2008; Pollack et al. 2009).
Gamma-ray bursts are important for DLA studies for another reason. Nearly all GRB host
galaxies have a DLA (GRB-DLA; Fynbo et al. 2009). The
distribution of their H i column density and their metal-line strength
distributions of Si ii λ1526 and
C iv λλ1548&1550 overlap with those of intervening
DLAs, but also extend to higher values (Prochaska et al.
2007b; Fynbo et al. 2009). On average
GRB-DLAs have higher metallicities than intervening DLAs (Fynbo et al. 2006; Prochaska et al. 2007b;
Fynbo et al. 2008). The difference between in situ
and intervening DLAs lies in the way they probe their host galaxies (Vreeswijk et al. 2004; Prochaska et al.
2007b; Fynbo et al. 2008, 2009). Because GRBs are thought to originate from the
collapse of a massive star, GRB-DLAs probe the line of sight to the location of a massive
star, irrespective of the DLA orientation relative to the host galaxy if the progenitor is
located in the DLA. Consequently, GRB-DLAs are selected by their star-formation rate (SFR).
In contrast, the properties of an intervening DLA depend on the geometry of the DLA galaxy
and its orientation relative to the line of sight. These are selected by their covering
fraction and hence their cross-section, .
A debated question in observational galaxy formation and evolution is the faint-end slope of
the z ~ 3 galaxy LF. The DLA galaxies probe the faint-end slope,
but the in-situ and intervening DLA LFs are only identical if
(Chen et al. 2000; Fynbo et al. 2008). The
studies of both DLA populations therefore complement each other well.
Currently, seven intervening sub-DLAs and DLAs have been found in six GRB afterglow spectra, with absorber redshifts ranging between 2.077 and 3.564 (GRBs 050730, 050820A, 050908, 050922C, 060607A, 070721B; Chen et al. 2005; Fox et al. 2008; Piranomonte et al. 2008; Chen et al. 2009; Fynbo et al. 2009; Vergani et al. 2009). Although the number of intervening (sub-)DLAs towards GRBs does not increase the number of known (sub-) DLAs significantly, the transient nature of the background afterglow simplifies the search for their galaxy counterparts. After the afterglow has faded, deep follow-up observations are usually carried out to find the GRB host galaxy, typically reaching a limiting magnitude of ~27 mag in the R-band (e.g. Hjorth et al. 2012; Malesani et al., in prep.). These observations are also suitable for the search for DLA galaxies.
In this paper we present the findings from our search for the photometric counterparts of intervening sub-DLAs and DLAs in six GRB lines of sight. In Sect. 2, we introduce our methodology, present the sample selection, and describe how the data were reduced. The results are then presented in Sect. 3, confronted with current models of sub-DLAs and DLAs, and compared to low-z and high-z DLA galaxies in Sect. 4. In Sect. 5 we draw our conclusions.
Throughout the paper we refer to the solar abundance compiled in Asplund et al. (2009) and adopt cm-2 as the linear unit of column densities, N. We assume a ΛCDM cosmology with H0 = 71 km s-1 Mpc-1, Ωm = 0.27, and ΩΛ = 0.73 (Larson et al. 2011).
2. Data gathering and reduction
2.1. Sample selection and data gathering
Summary of photometric and spectroscopic data.
All six GRBs with intervening sub-DLAs and DLAs were part of deep-imaging campaigns dedicated to detect their host galaxies. Among these, we selected those that had sufficient spectroscopic data, e.g. spectra obtained with different position angles (PAs), or multi-filter data to construct the spectral energy distribution (SED) of candidates and determine their nature. This reduced the set to GRBs 050730, 050820A, 050908 and 070721B.
In the following, we briefly describe the photometric and spectroscopic data analysed, as
summarised in Table 1. The observing conditions
during Keck and Magellan observations are described in Chen et al. (2009), while those of other ground-based
observations are summarised in Table 1. The
astrometric uncertainty is ; the uncertainty between
the optical and NIR astrometry is similar, allowing us to unambiguously identify objects
in the different bands
2.1.1. GRB 050730
Afterglow spectra of GRB 050730 were acquired with VLT/FORS2 with the 300V grating and
with VLT/UVES with the red and blue arm centred at 3460 Å and 5800 Å, respectively (see
Table 1). In addition, another spectrum was
acquired with VLT/FORS1 (grating 600V; PA = 22.5), as part of
the TOUGH (The Optically Unbiased GRB Host) survey (Hjorth et al. 2012) and three additional spectra with VLT/FORS2 (PI: Ellison;
Table 1). For these, the slits were centred on
the afterglow position, and spectra with different slit orientations were obtained with
the 600B grism. In doing so, most of the field of view close to the GRB position is
covered, including several of the brightest close-by objects. This strategy enables us
to localise emission line objects via triangulation, similar to Møller et al. (2004), Fynbo et al.
(2010), Fynbo et al. (2011), Krogager et al. (2012), Noterdaeme et al. (2012)1.
Fynbo et al. (2009) reported the serendipitous
discovery of a quasar at the same redshift as the intervening sub-DLA towards
GRB 050730, 17
5 south of the
afterglow position. The quasar is blended with a 18.2-mag bright foreground star. To
investigate the QSO-sub-DLA connection and to constrain the quasar radiation field, we
acquired a spectrum of the quasar with VLT/X-shooter (Table 1). The field was also the target of deep imaging campaigns with
VLT/FORS2 (R-band) and VLT/ISAAC (Ks-band)
as a part of the TOUGH survey (Hjorth et al.
2012), HST/ACS (F775W-band, PI: Levan) and
Spitzer/IRAC (3.6 and 5.8 μm; Table 1).
2.1.2. GRB 050820A
Similar to GRB 050730, GRB 050820A was a target of an extensive spectroscopic campaign. After the afterglow faded, several spectra were acquired with VLT/FORS2 by centring the slit on the afterglow position and using three different slit orientations, each one observed with two different gratings (300V and 1028z; PI: Ellison), see Table 1. Slits were oriented to cover most of the area around the afterglow position and several of the brightest objects close to the afterglow position. The total integration time of the data acquired with the 1028z grism is only half of the time spent on 300V, and the 1028z spectral range does not extend the range of the 300V data substantially, but its resolution is much higher than that of the 300V data. Hence, we did not use the 1028z data in our analysis. In addition, the field was observed in nine filters extending from 473.1 nm (g′ band) to 5.8 μm with VLT/FORS2 and VLT/ISAAC as a part of the TOUGH survey, HST/ACS, Keck/LRIS, Magellan/PANIC, and Spitzer/IRAC (Table 1).
2.1.3. GRB 050908
For this burst, only few data are available. An afterglow spectrum was obtained with
the 300V grating (slit width of 10 and
) using VLT/FORS1, and with
Gemini/GMOS-N using the B600 grating (slit width of
0
75 and
; Table 1). In addition to these data, we included a spectrum obtained with
VLT/FORS1 (600B) and deep R- and Ks-band
images acquired with VLT/FORS2 and VLT/ISAAC as a part of the TOUGH survey,
respectively, and deep Spitzer/IRAC images acquired at 3.6 and
5.8 μm (Table 1).
2.1.4. GRB 070721B
We used the afterglow spectrum (PA = –1183) acquired
with VLT/FORS2 (Table 1), and a spectrum obtained
with VLT/FORS1 (PA = –118
5) several
months after the GRB faded as a part of the TOUGH campaign. In addition, several
deep-imaging campaigns targeted this field. We used the VLT/FORS2
R-band and VLT/ISAAC Ks-band data acquired
as part of the TOUGH campaign, HST/ACS F775W-band data, and
Magellan/PANIC H-band data.
2.2. Data reduction
2.2.1. Imaging
Ground-based data
VLT/FORS and Keck/LRIS data were reduced in a standard way, VLT/FORS data with IRAF and Keck/LRIS data with IDL (Tody 1986; see Malesani et al., in prep. for more details on the VLT data reduction, and Perley et al., in prep., on the Keck data reduction). The NIR data acquired with VLT/ISAAC were reduced in a standard way with the jitter routine in eclipse (Devillard 1997). The reduction of the Magellan/PANIC data is presented in Chen et al. (2009).
![]() |
Fig. 1
Left panel: the field of view of GRB 050730
(z = 3.969) observed in
F775W with HST/ACS. Middle
panel: zoom-in on the inner 28 |
HST data
HST/ACS images of GRB 050730 and 070721B consist of six dithered exposures in the
F775W filter. Individual exposures, after standard
“on-the-fly” processing, were retrieved from the STScI archive2. These were subsequently cleaned for bias striping, introduced
due to the replacement electronics after Servicing Mission 4 (May 11–24, 2009), and
then drizzled using the multidrizzle software into final science images. At this stage
we adopted a pixel scale of 0033,
approximately two thirds of the native pixel scale. The data reduction of the
GRB 050820A HST data is presented in Chen et al.
(2009). The pixel scale of these drizzled images is
0
05 in
contrast to that of the images of GRBs 050730 and 070721B.
Spitzer data
GRBs 050730, 050820A, and 050908 were observed with the Infrared Array Camera
aboard Spitzer (IRAC; Fazio et al.
2004) in the bandpasses centred at 3.6 and 5.8 μm. We
downloaded the processed PBCD data from the Spitzer Heritage Archive
and followed the basic procedures for aperture photometry in the IRAC instrument
handbook3, using an extraction radius of two
native pixels (24, or four
pixels in the default archive resampling).
Photometry
To measure the total flux, we applied aperture photometry, using Source Extractor (Bertin & Arnouts 1996), and applied an aperture correction assuming a stellar point-spread function (PSF; for the aperture correction of the HST images see Sirianni et al. 2005).
The quasar in the field of GRB 050730 is strongly blended with a foreground star at a
projected distance of 12. To
perform reliable photometry, the contaminating star was subtracted from the VLT/FORS1
images. A model of the FORS1 PSF was constructed from ~60 field stars using
Daophot as implemented in IRAF. This PSF model was then fitted simultaneously to the
star and the QSO. To test the quality of the fit, we subsequently subtracted the
stellar contribution from the input image. Photometry was then performed in the final
star-subtracted image.
Instrumental magnitudes obtained from optical ground-based data were calibrated against 2–3 photometric standard stars (Landolt 1992; Stetson 2000). NIR magnitudes were calibrated with more than three 2MASS stars and HST magnitudes against zeropoints, computed from their FITS headers.
2.2.2. Spectroscopy
VLT/FORS1 and FORS2, Gemini/GMOS and VLT/UVES data
FORS and Gemini data were reduced in a standard way with IRAF (for more details see Fynbo et al. 2009). The data reduction of the UVES data is described in Ledoux et al. (2009).
VLT/X-shooter data
The QSO in the field of GRB 050730 was observed with X-shooter. These data were
reduced with the X-shooter pipeline v1.2.24. The
one-dimensional spectrum of the QSO (R = 20.76 mag; corrected for
Galactic extinction) in the field of GRB 050730 could not be extracted with the
X-shooter pipeline, because it is blended with the 18.2-mag-bright foreground star
12 SW
mentioned above (see Fig. 1).
Properties of the intervening sub-DLAs and DLAs.
Properties of selected Mg ii absorbers.
To estimate the flux of the quasar over the entire wavelength range of the X-shooter spectrograph, we proceeded in the following way. For each arm, we first extracted a profile of the superposed spectral PSFs at several wavelengths. Each profile was best described by two Gaussians, representing the QSO and the star. The centre of their peaks and the widths did not change with wavelength, allowing us to fix these parameters to their mean values for each arm of the X-shooter spectrograph. Then, we extracted the profile for every wavelength and fitted it with the aforementioned model, using the routine mpfit by Markwardt (2009), in IDL. To identify outliers, a nine-point median profile was fitted for every wavelength, i.e. four points redward and four points blueward of the considered wavelength. Data points were rejected if they deviated by more than 3σ from the median spectral PSF of the quasar and the star.
The QSO was barely visible in the NIR spectrum. We therefore determined the centre of
peak and the FWHM of the star and set the QSO centre of peak to its expected position.
Furthermore, we reduced the spectral resolution to increase the signal-to-noise ratio
(S/N) by rebinning the spectrum. The uncertainties in the FWHMs and the centre of
peaks varied between 0.06 and 0.39 px and 0.3 and 0.18 px for each arm (pixel scale:
UVB and VIS 016/px, NIR
0
21/px),
respectively, small enough to be neglected.
We compared the quality of our method with the MCS deconvolution technique developed by Magain, Courbin, & Sohy (Magain et al. 1998) used in Letawe et al. (2008; see also Courbin et al. 2000). This method requires an unblended star to be observed with the identical instrument setup. Because of the short slit length, no such object was covered by the slit. For a rough estimate, we used the observed standard star as reference, although it was observed with a slit width of 5′′. Within the errors both methods give the same results.
To flux-calibrate the spectrum, we reduced the data of the standard star GD50 with the X-shooter pipeline. The 1D spectrum was extracted using the routine apall in optimal extraction mode. The spectrum was then divided by the corresponding reference spectrum from the CALSPEC HST database (Bohlin & Gilliland 2004) to deduce the response function. In addition, we corrected the flux-calibrated standard star spectrum for undulations by smoothing the ratio between the observed flux-calibrated and expected spectra with a Hamming filter (window size: 40 Å in the UVB and VIS arm) in regions that were not affected by strong telluric lines or stellar absorption features. We then applied the corrected response function to the QSO and used the acquisition image to secure the absolute flux calibration. Finally, we followed Cardelli et al. (1989) to correct the QSO for Galactic dust attenuation (E(B − V) = 0.048 mag). No attempt was made to correct for telluric absorption lines due to the lack of a suitable telluric standard star observed the same night. This has no implications on our analysis.
2.3. SED fitting
The photometric SEDs of the galaxies were modelled within Le Phare (Arnouts et al. 1999; Ilbert et al. 2006)5. Here, we used a grid of galaxy templates based on the Bruzual & Charlot (2003) stellar population synthesis models with a Chabrier IMF (Chabrier et al. 2000) and a Calzetti (Calzetti et al. 2000) dust attenuation curve. If prior information about the redshift was available from spectroscopy, we fixed this parameter to the respective value. For a description of the galaxy templates, physical parameters of the galaxy fitting and their error estimation we refer to Krühler et al. (2011). To account for zeropoint offsets in the cross calibration and absolute flux scale, an systematic error contribution of 0.05 mag was added in quadrature to the uncertainty introduced by photon noise.
3. Results
Afterglow spectroscopy allowed us to identify seven intervening sub-DLAs and DLAs in six GRB fields. For four of these fields, we had sufficient data to elucidate the nature of several galaxy counterpart candidates. In the following, we describe how we selected the candidates, and present the properties of the intervening sub-DLAs and DLAs towards GRBs 050730, 050820A, 050908 and 070721B and our findings on the most likely galaxy counterpart for each field. A summary of the properties of the intervening sub-DLAs and DLAs is presented in Tables 2 and 3. Most of the values are taken from the literature.
To select candidates that are close enough to the GRB line of sight to produce an intervening absorption-line system in the afterglow spectrum, we had to set an upper limit on the extent of the possible DLA galaxies. Theoretically, it is very difficult to set a meaningful upper boundary, because different models exist for their galaxy counterparts. The observed impact parameter distribution of confirmed DLA galaxies, based on Péroux et al. (2011) and Krogager et al. (2012), extends from 0.4 to 182 kpc and has a mean value of ~25 kpc. The impact parameter distribution of DLA galaxy candidates by Rao et al. (2011) shows similar characteristics. The majority of DLA galaxies have a small impact parameter, but there are few cases with large impact parameters (~100 kpc). We therefore followed the statistical approach by Rao et al. (2011), who used the galaxy number density as a function of impact parameter as a criterion. They found that the galaxy number density is comparable to the number density of foreground and background galaxies, i.e. a chance association is more likely if the impact parameter exceeds 100 kpc. As a first assumption, we limited our study to those candidates within 100 kpc from the GRB line of sight, keeping in mind that this value was derived for intervening DLAs between z = 0.5 and 0.8.
3.1. GRB 050730
Galaxy counterpart candidates of the intervening absorption line systems.
continued.
GRB 050730 occurred at a redshift of z = 3.969. Its afterglow spectrum
contains an intervening sub-DLA (, [Si/H] = −1.5 ± 0.2)6, and an intervening DLA
(
, [Si/H] < − 1.3) at
z = 3.02209 and z = 3.56439, respectively
(Tables 2, 3). In addition, the afterglow light traversed an intermediate and a strong
Mg ii absorber at z = 2.25313 and 1.7731, respectively.
In Fig. 1, we show the field of GRB 050730 and
zoom-ins on the inner 288 and
6
0; the region at
which the impact parameter exceeds 100 kpc is highlighted. At the redshift of the
aforementioned absorption-line systems, the maximum impact parameter of 100 kpc translates
into a transverse distance between 12
1 and
13
9; the lower
value belongs to z = 1.7731 and the higher to
z = 3.56439, including the astrometric uncertainty of the afterglow
localisation of 0
3.
The GRB was the target of an extensive spectroscopic campaign; several low-resolution
spectra with a total of five different position angles (PA) were obtained with VLT/FORS1
and VLT/FORS2 (Fig. 1, Table 1). Within the 100-kpc radius, 19 objects were covered by a slit. In
Table 4 we summarise their magnitudes in
different filters and their angular distances from the afterglow position. Four of these
objects were bright enough to allow the extraction of a spectrum. The VLT/FORS1 spectra of
objects A1 and A4 are of very low S/N. We detect their continua down to 4500 Å, but we
detect no absorption or emission lines. If these objects were the galaxy counterparts to
the sub-DLA and DLA, we would expect to see the onset of the Lyα forest
at ~ 4890 Å and ~ 5549 Å, respectively, which we do not observe. The
Lyα non-detection and the extension of the continuum to even shorter
wavelengths, excludes them from being the galaxy counterparts. We detect the continuum of
object A7 at very low S/N in the VLT/FORS2 data, but no absorption or emission lines. The
objects A1, A4 and A7 are likely late-type stars based on their colours and the fact that
the morphology and size of their PSFs () do not differ from point
sources. Object A11 lies at the edge of the 100-kpc radius. We detect its continuum down
to 4630 Å in the VLT/FORS2 data and a drop in flux blueward of it. Assuming that this is
the Balmer break, the redshift of the galaxy is ~ 0.16, which disagrees with
that of the intervening absorbers.
In conclusion, we identified no galaxy counterpart candidate of the intervening sub-DLA and DLA down to a limiting magnitude of F775W = 25.7 (24.6) mag and of any of the intermediate Mg ii absorbers down to a limiting magnitude of F775W = 26.5 (25.1) mag, assuming a maximum impact parameter 50 (100) kpc. These limits were calculated by considering all objects within 50 (100) kpc but excluding those for which we elucidated the nature or those with a stellar PSF.
Fynbo et al. (2009) reported the serendipitous
discovery of a QSO at the redshift of z = 3.023, very similar to the
redshift of the sub-DLA in the afterglow spectrum. The QSO is
175 south of the
afterglow position (see Fig. 1, Table 4), corresponding to a projected distance of 136.7 kpc
at z = 3.02209, the redshift of the sub-DLA towards the GRB. It has a
brightness of 20.76 ± 0.05 mag in the R-band (corrected for
Galactic extinction, Table 4), but is blended with
a 18.2-mag bright K-type star. Strictly speaking, the impact parameter exceeds the assumed
maximum impact parameter of 100 kpc. Given the redshift coincidence with the sub-DLA in
the afterglow spectrum, we discuss this correlated structure in Sect. 4.4.
3.2. GRB 050820A
Ledoux et al. (2005) and Vergani et al. (2009) reported an intervening sub-DLA at
z = 2.3598 with and a metallicity of
[Si/H] = −1.5 ± 0.2 and two strong Mg ii absorbers between
z = 0.6915 and 1.6204 towards GRB 050820A
(zGRB = 2.615, Tables 2, 3).
In Fig. 2, we show the inner 29″ around the
afterglow position and highlight the region at which the impact parameter is 100 kpc. At
the redshift of the intervening absorbers, the maximum impact parameters correspond to
124 for
z = 2.3598 and 14
4 for
z = 0.6915, including the uncertainty of
0
4 in the
afterglow localisation.
![]() |
Fig. 2
Similar to Fig. 1, but for GRB 050820A (z = 2.615). In contrast to GRB 050730, the field of GRB 050820A was observed in nine filters ranging from 473 nm to 5800 nm, in addition to extensive spectroscopy campaigns. This allowed us to construct the SED of several objects in the field of view. The width of the displayed field is 29″, twice the maximum impact parameter of 100 kpc of the strong Mg ii absorber at z = 0.6915, while the circle displays the maximum impact parameter of 100 kpc at the redshift of the intervening sub-DLA at z = 2.3598. Every object within 100 kpc is labelled if it is either detected in at least five filters or covered by a slit. Objects B7 and B10 appear to be not in the slit, due to the smaller PSF of the HST in comparison to the VLT. |
After the afterglow faded, several spectra were acquired with VLT/FORS2. In addition, the field was also the target of an extensive photometric campaign covering nine filters from 473.1 nm (g′-band) to 5.8 μm; for full details we refer to Sect. 2.1 and Table 1. This allows us to elucidate the nature of several objects within 100 kpc, not only of those that were covered by a slit and bright enough for a spectrum to be extracted. In the following, we only consider those objects that are either detected in at least five filters to attempt SED modelling, or fall in one of the slit positions. In total, 11 objects within 100 kpc of the afterglow position fulfil these criteria (Fig. 2, Table 4). Among them, nine fell into one of the slits.
The two brightest objects (B4 and B10) within the 100 kpc radius are late-type stars. The spectrum of B9 exhibits two emission lines at 5322.1 and 7149.3 Å both detected at ~6σ confidence level (Fig. A.1). We identify these lines as [O ii] λ3727 and [O iii] λ5007 at a common redshift of z = 0.428.
The spectrum of object B2 (Fig. A.2) has a
continuum break at ~6750 Å and absorption lines at 6660.2 and 6719.5 Å. These
features are consistent with the Balmer break and Ca ii K&H absorption at
a redshift of z = 0.693. The S/N of the VLT/FORS2 spectra of B3 and B6
are too low for redshift determination7. Both
objects are detected in the nine filters, see Figs. A.3 and A.5. The best fits to their SEDs
suggest that B3 and B6 are galaxies at
and
,
respectively. Object B5 was detected in five filters from 473 to 766 nm (Fig. A.4). The SED is best described by a young and small
galaxy at
.
We caution that the solution is not unique because the galaxy is only detected in five
filters. The redshifts of B2, B3, B5 and B6 match the redshifts of the strong Mg ii
absorbers at z = 0.6915 and 1.4288 towards GRB 050820A, see
Table 3.
The continua of objects B7 and B8 are visible in the 2D spectrum. Because of the seeing, the spectrum of B8 is not resolved into the two objects B8N and B8S as seen in the HST image. The extracted 1D spectra of B7 and B8 have a low S/N and thus their redshifts cannot be determined. Recently, Chen (2012) observed the field with the IR echellette spectrograph FIRE mounted on the Magellan telescope. The slit was oriented to cover object B7 and the compound B8. Based on these observations, Chen (2012) found that the galaxy B7 and the host complex B8 are a group of galaxies at z ≃ 2.613, in contrast to Chen et al. (2009), who suggested that B7 and B8S are interacting galaxies forming the strong Mg ii absorber at z = 0.692.
![]() |
Fig. 3
GRB 050908 afterglow spectrum obtained with VLT/FORS1, centred on the intervening Lyα absorption line (zDLA = 2.6208; log N(H i) = 20.8 ± 0.1). A neutral hydrogen column density fit to the damped Lyα line is shown with a solid line, while the shaded region indicates the 1σ errors. |
![]() |
Fig. 4
Similar to Fig. 1, but for GRB 050908
(z = 3.3467). The different slit orientations from Table 1 are overplotted. The circle radius of
12 |
![]() |
Fig. 5
Fit of the intervening Lyα absorption features towards galaxy D7 (zabs = 3.085; log N(H i) = 20.7 ± 0.2) and towards GRB 070721B (zabs = 3.0939; log N(H i) = 20.1 ± 0.3), and the Lyα absorption feature in the DLA galaxy D3 (zabs = 3.096; log N(H i) = 21.3 ± 0.2). The fit of D3 nicely shows the Lyα emission in the red part of the trough. The afterglow spectrum (D4) was acquired with VLT/FORS2, while the displayed spectra of D3 and D7 were extracted from the VLT/FORS1 data. The fit is shown with a solid line, while 1σ errors are displayed with the shaded region. |
Although we elucidated the nature of all objects within
37 that are
visible in the HST images, we did not identify a possible galaxy counterpart of the
intervening sub-DLA. We also did not find any candidate brighter than
F625W = 26.7 (26.6) mag with an maximum impact
parameter of 50 (100) kpc.
3.3. GRB 050908
The afterglow spectrum of GRB 050908 (z = 3.3467), obtained with
VLT/FORS1, revealed an intervening DLA at z = 2.6208 with
, as derived from the Voigt
profile fit shown in Fig. 3. We thus revise the
conclusion by Fynbo et al. (2009) that this
intervening absorber is a sub-DLA. This DLA is peculiar for its strong metal lines
(EWrest(Si ii λ1526) = 2.24 ± 0.06 Å)
that are stronger than those of most intervening DLAs (Fynbo et al. 2009, their Fig. 11). In addition, the afterglow spectrum consists
of an intermediate Mg ii absorber at z = 1.5481. The properties
of both absorbers are summarised in Tables 2
and 3.
At the redshift of the intervening Mg ii absorber and the DLA, an impact
parameter of 100 kpc corresponds to an angular distance of
120 and
12
6, respectively,
including the uncertainty in the afterglow position of
0
3. The GRB field
and the galaxies within this impact parameter are shown in Fig. 4.
An afterglow spectrum was acquired with VLT/FORS1
() and with Gemini-N/GMOS
(
). In addition, another spectrum
was obtained with VLT/FORS1 (
) two years later (Table 1). Both FORS1 spectra cover several faint objects
(R ~ 26 mag) within the 100-kpc radius (Fig. 4, Table 4). Apart
from the afterglow, we only detect a very weak emission feature at ~ 4512 Å at
the position of C1. Assuming that this is a genuine emission line, the line is likely
Lyα redshifted to z ~ 2.71, and not
[O ii] because of the non-detection of Hβ and
[O iii] λ5007. The Gemini spectrum
(
) does not cover any of the
faint objects visible in the R-band image and we do not detect any
emission line in these data.
Since the field is quite crowded and the amount of spectroscopic and multi-filter data are limited, we can only place a shallow upper limit on the brightness of the galaxy counterpart of the two absorption-line systems. Assuming a maximum impact parameter of 50 or 100 kpc, the galaxy counterpart cannot be brighter than 25 mag and 24.7 mag in the R band.
3.4. GRB 070721B
The VLT/FORS2 afterglow spectrum of GRB 070721B (z = 3.6298) revealed an
intervening absorber at z = 3.0939, a sub-DLA with strong metal
absorption lines
(EWrest(Si ii λ1526) = 1.71 ± 0.54 Å;
Table 2). Figure 5 displays the Lyα absorption profile; the Voigt profile fit
gives . In Fig. 6 we show the field of view and highlight the maximum
impact parameter of 100 kpc, corresponding to 13
3 at
z = 3.09, including the uncertainty in the afterglow localisation of
0
4.
Four months after the GRB, an additional spectrum with
was acquired with VLT/FORS1.
The spectrum covers several objects within the 100 kpc radius (Table 4). The 2D spectrum shown in Fig. 7 reveals that this is a very complex and perplexing line-of-sight. The
galaxy D7, which was also detected in the 2D-spectrum of the afterglow, is a bright
Lyα emitter at z = 3.615 – very similar to the
redshift of the GRB. Object D4 is the host galaxy of GRB 070721B and is only detected by
its Lyα emission line in the 2D spectrum (Fig. 7). The emission line redshift (zem = 3.631)
differs slightly from the absorption-line redshift
(zabs = 3.6298), derived from metal lines in the afterglow
spectrum (see Milvang-Jensen et al. 2012, for a
detailed discussion). In the spectrum of galaxy D3 we detect several strong metal lines as
well as a strong Lyα absorption line at a common redshift of
z = 3.096. This galaxy has an impact parameter of only 1′′ relative to
the GRB position. Hence, D3 must be the galaxy counterpart of the DLA seen in the
GRB afterglow spectrum. This was also suggested by Fynbo
et al. (2009) and Chen et al. (2009).
Intriguingly, D7 also has an intervening strong Lyα absorption line at a
very similar redshift (z = 3.085); we derive a H i column
density of 20.7 ± 0.2 from the Voigt profile fitting, as shown in Fig. 58. However, we do
not detect metal lines associated with this intervening absorption line system9. At that redshift the angular separation between D3
and D7 of 20
7 translates
into a transverse distance of 161 kpc. The weak trace below D7 is from the galaxy D6. This
spectrum displays a single strong emission line. It is very likely Lyα at
zem = 2.642 and not
[O ii λ3727], because of the lack of Hβ and
[O iii] λ5007 in emission. The spectrum of D2 shows that
this is also a Lyα emitter at a very similar redshift to that of D6,
zem ≃ 2.644. In the spectrum of the afterglow we detect
absorption lines from Lyα, C ii λ1334 and
the C iv doublet (unresolved) at zabs = 2.655 albeit
a low S/N. The velocity distance between the absorption and emission line redshifts is
~900 km s-1.
![]() |
Fig. 6
Similar to Fig. 1, but for GRB 070721B
(z = 3.6298). Object D4 is the host galaxy. Object D3 is the
galaxy counterpart to the intervening DLA (z = 3.094) towards
GRB 070721B. The impact parameter of the DLA galaxy is 1′′ (7.9 kpc). The line of
sight of object D7 also traverses a DLA at z = 3.085. The distance
between objects D3 and D7 is 21 |
![]() |
Fig. 7
VLT/FORS1 2D spectrum obtained after the optical afterglow of GRB 070721B faded. The photometric counterparts of the different traces are labelled according to Fig. 6 and Table 4. The host (D4) is only visible via its Lyα emission. The afterglow spectrum of GRB 070721B would be located at the position of D4. Prominent absorption and emission lines of the galaxies and intervening absorption-line systems are highlighted and colour-coded. The intervening DLA present in the afterglow spectrum is the very bright galaxy D3. The spectrum of the Lyα emitter D7 displays an intervening DLA as well. |
The region around Lyα in the spectrum of D3 seems to be a superposition
of an emission line on top of a broad absorption line (see Figs. 5, 7). Such a feature has been
observed in several high-z galaxies (e.g. Pettini et al. 1998a,b, 2000). We estimate an H i column density of
.
4. Discussion
4.1. Detected galaxy counterparts
4.1.1. DLA galaxy towards GRB 070721B
In Sect. 3.4 we showed that the galaxy
counterpart of the intervening DLA (object D3,
zD3 = 3.096 ± 0.003) has an impact parameter of 7.9 kpc and
an extinction-corrected R-band magnitude of 24.41 ± 0.02 mag
(Fig. 6, Table 4). The co-ordinates are RA and
Dec
with an uncertainty of
0
4 in each
coordinate. We denote the object as DLA J0212-0211 in the following. Up to now, only one
other sub-DLA/DLA galaxy was identified beyond z > 3. Djorgovski et al. (1996) found the galaxy counterpart
(R = 24.8 ± 0.2 mag) to the z = 3.15 sub-DLA
(log N(H i) = 20.0; Lu
et al. 1993) towards QSO B2233+131. Compared to typical z ≃ 3
galaxies, both objects are comparable to the brightness of an
L∗ galaxy
(R∗ = 24.48 ± 0.15 mag; Steidel et al. 1999).
At low-z (z < 1), the overwhelming majority (75%) of sub-DLA/DLA galaxies summarised in Péroux et al. (2011) are fainter than the two z > 3 sub-DLA/DLA galaxies. The mean luminosity of that sample is 0.66 L∗ and the median is 0.32 L∗. The sample is not tightly distributed around the mean and the brightest galaxy in that ensemble reaches 2.8 L ∗ . A proper comparison with high-z (z > 2) DLA galaxies is not possible. To date, the luminosity of only four out of ten sub-DLA/DLA galaxies is known. The reason for this is that most of them were detected by their Lyα emission and have small impact parameters so that they are outshone by the glare of the quasar. This hampers the determination of their luminosity. Chen et al. (2009) concluded that the DLA galaxy in the field of GRB 070721B is the most luminous DLA galaxy at z > 2. The morphology of the galaxy is undisturbed, based on the shape in the HST image, inset in Fig. 6. We measure an ellipticity of 0.15 and a half-light radius of 1.2 kpc, obtained with SExtractor. The non-detection of a galaxy interaction or merger is not surprising. Overzier et al. (2010) argued that a detection is hampered at z ~ 3 because of the reduced physical resolution and sensitivity in addition to the general difficulties of observing interacting galaxies.
The Lyα absorption line shows an excess of flux in the red part of the absorption profile (Fig. 5; Sect. 3.4). The extracted emission line profile, shown in Fig. 8, is slightly asymmetric and peaks at ~1000 km s-1 with respect to the systemic redshift. We measure a line flux density of (2.34 ± 0.25) × 10-17 erg cm-2 s-1 Å-1, i.e. a line significance of 9.2σ. Pettini et al. (1998a,b, 2000) reported the detection of the same feature with peak recessional velocities between + 400 and 1100 km s-1 in several z ≈ 3 galaxies (see also Adelberger et al. 2003). They argued that this feature is similar to a P-Cygni profile, indicating the presence of a galactic outflow (also found in starburst galaxies; e.g. Kunth et al. 1998; Gonzalez Delgado et al. 1998; but see also Verhamme et al. 2006; Laursen et al. 2009).
To explore the properties of the galaxy counterpart in more detail, we fitted the SED with Le PHARE (Sect. 2.3), as displayed in Fig. 8. Leaving all model parameters free except for the redshift, which was fixed to z = 3.096, the SED is best described by a young (0.4 Gyr) and close-to-dust-free galaxy (AV = 0.3 mag, Calzetti reddening; see Table 5 for all best-fit values). The SFR of 37 M⊙ yr-1 is similar to the that of the z = 3.15 DLA galaxy (Djorgovski et al. 1996; Christensen et al. 2004b; Péroux et al. 2011) and similar to the SFR of typical U-band drop-out LBGs (Giavalisco 2002).
![]() |
Fig. 8
Spectrum (middle) and the SED (bottom) of the DLA galaxy D3 in the field of GRB 070721B. In the middle panel, the error spectrum is overplotted and several absorption lines are marked. Regions of strong telluric features (atmosphere transparency <20%) were not used in the spectral analysis and are marked by a small box at the top. The top panel shows zoom-ins on the individual absorption lines. In the bottom panel, the observed extinction-corrected data points are shown as circles with error bars. The curve represents the best fit to the observed SED. The model-predicted magnitudes (squares) are superposed. The grey area highlights the interval that is covered by the spectrum above. |
Properties of the galaxy counterpart candidates of the strong Mg ii absorber towards GRB 050820A (zMg ii = 0.692 and 1.430) and the DLA galaxy towards GRB 070721B (zDLA = 3.094).
Because of the small impact parameter of the DLA counterpart (1″), the GRB line-of-sight can be extinguished by the dust in the DLA galaxy if it contains dust (see Fynbo et al. 2011, for an example). Fynbo et al. (2009) derived the spectral slope between the optical and X-ray bands, βox, to be 0.72. According to Jakobsson et al. (2004), a dust-extinguished optical afterglow would result in βox < 0.5, which is not the case for GRB 070721B. Zafar et al. (2011) obtained a visual extinction of AV = 0.20 ± 0.02 mag, assuming that all extinction is attributed to an absorber in the host galaxy of GRB 070721B. This value is typical for GRB host galaxies (Kann et al. 2010; Schady et al. 2010; Zafar et al. 2011). Motivated by the fact that some GRBs show negligible host reddening, the presence of a foreground absorber cannot be excluded. Assuming the DLA to be responsible for the observed reddening, we expect that AV increases only slightly (Greiner et al. 2011, their Fig. 3). Hence, we can in this case exclude the presence of significant amounts of dust, i.e. AV < 0.20, in the outskirts of the DLA galaxy.
In addition, we measured the EWs of absorption lines in the DLA galaxy
spectrum D3 and of absorption lines imprinted by the DLA galaxy on the GRB afterglow
spectrum. The EWs and column density estimates are listed in Table 6. By comparing the two sets of data it is evident
that the DLA galaxy shows a higher
than in the afterglow spectrum (see Fig. 5). This
trend is also confirmed by all metal EWs, which are higher for the DLA galaxy, despite
the individual large errors. These results are easily explained if most of the DLA
galaxy light arises from the central, i.e. denser, region of the galaxy, while the
GRB afterglow radiation shone through a more peripheral region of the host.
Finally, the most constraining metallicity estimate for the D3 galaxy is [Fe/H] > −0.21 (measured from the GRB afterglow spectrum). Because iron is a very refractory element, a significant amount of Fe could be depleted onto dust grains and not observed in the gas-phase. If this is the case, the intrinsic metallicity would increase to solar or super-solar values, while GRB DLAs typically show solar or sub-solar metallicities (see Fynbo et al. 2009, and references therein). A more likely scenario is a limited amount of dust in the DLA galaxy, which is supported by the low reddening along the line-of-sight (AV < 0.20) estimated from the SED. Thus, the metallicity along the GRB line-of-sight, i.e. 7.9 kpc away from the galaxy centre, is close to ≈ 0.6 Z⊙. A higher metallicity could possibly be found in the central regions of the DLA galaxy, given the likely metallicity gradient, but cannot be constrained from our dataset due to absorption-line saturation.
In conclusion, the properties of the DLA galaxy D3 are very typical for LBGs, except that the halo of the galaxy harbours large amounts of neutral hydrogen. This is consistent with the model that DLAs are gaseous halos of faint high-z LBGs (Fynbo et al. 1999; Møller et al. 2002; Fynbo et al. 2008; Rafelski et al. 2011).
4.1.2. Mg ii absorbers towards GRB 050820A
In addition to the intervening sub-DLA towards GRB 050820A, the afterglow traverses two strong Mg ii absorbers at z = 0.6915 and 1.4288 (see Table 3). We find four galaxies within 100 kpc that are consistent with either z = 0.6915, namely B2, B3 and B5 (Figs. A.2–A.4, Table 4), or z = 1.4288, namely B6 (Fig. A.5, Table 4)10. The properties of the best-fit galaxy templates are summarised in Table 511.
The impact parameters vary between 26 and 88 kpc for the candidates of the Mg ii absorber at z = 0.6915. Galaxy counterparts with an absorption cross-section of more than 88 kpc are rare; for instance Chen et al. (2010) used a set of 94 galaxies (⟨z⟩ = 0.24) that are located up to 120 kpc around 70 background quasars (zQSO > 0.6) to study which kind of Mg ii absorber could be found in the quasar spectrum arising from these galaxies. They did not find any strong Mg ii absorber in a quasar spectrum that is related to a galaxy at a distance of more than ~40 kpc from the line of sight of the quasar. Hence, the early-type galaxy B2 is probably not the galaxy counterpart of the absorption-line system. The impact parameters of B3 and B5 are typical for strong Mg ii absorbers (Chen et al. 2010), though at the upper end of the impact parameter distribution. The properties of B3 and B5 are very different from each other (Table 5), B3 is a massive galaxy with a high SFR, while B5 is a young low-mass galaxy with low SFR. These differences are also reflected in their luminosities; adopting the Dahlen et al. (2005) LF, B3 is 0.2 L∗, and B5 is 6 times fainter (0.03 L∗). Both values are in the range of the observed luminosities of the Chen et al. (2010) sample, but in their fainter half.
DLA J0212-0211 absorption lines in the DLA galaxy and the GRB 070721B afterglow spectrum.
Galaxy B6 is the most likely galaxy counterpart of the strong Mg ii absorber
at z = 1.4288. The impact parameter of 42 kpc
(49;
Table 5) is similar to the impact parameter of
the galaxy counterpart candidates of the Mg ii absorber at
z = 0.6915. The properties of the best-fit galaxy template, displayed
in Table 5, show that it is a fairly bright
(0.9 L ∗ ) galaxy with
SFR = 1.5 M⊙ yr-1 (Fig. A.5).
Without additional spectroscopic data it is not possible to decide which of two
candidates is the galaxy counterpart of the strong Mg ii absorber
z = 0.6915 and if B6 is the galaxy counterpart to the Mg ii
absorber at z = 1.4288. Chen
(2012) placed an upper limit on the brightness of the galaxy counterpart of
F775W = 27.5 mag, i.e. fainter than a
0.03 L∗ galaxy, if the impact parameter is less than
35.
4.2. Limits on galaxy counterparts
In the previous sections we discussed the properties of the detected DLA galaxy towards
GRB 070721B and of the galaxy counterpart candidates of the two strong Mg ii
absorbers towards GRB 050820A. In this section we present the limits, such as
luminosity and SFR, on the non-detected galaxy counterparts. The limits on the
luminosities shown in Table 7 are related to the
knee of the Dahlen et al. (2005) and the Reddy et al. (2008) LFs. The galaxy counterparts are
fainter than a 0.5 L∗ and
1.5 L∗ galaxy in all fields, if the impact parameter is 50
and 100 kpc, respectively. The most stringent upper limit of
0.1 L∗ can be placed on the galaxy counterparts of the
intervening sub-DLA towards GRB 050820A. For this field, Chen (2012) reported that the galaxy counterpart is fainter than
F775W = 27.5 mag, corresponding to
0.06 L∗, if the impact parameter is smaller than
35.
Limiting magnitudes of the galaxy counterparts of the intervening absorption line systems.
Fynbo et al. (1999) suggested that DLAs are the gaseous halos of LBG (see also Møller et al. 2002; Fynbo et al. 2008; Rafelski et al. 2011). To compare our measurements with this model, we use the predictions on the brightness of galaxy counterparts by Fynbo et al. (2008). In their model, simple and constrained scaling relations of galaxies in the local Universe are used to predict the luminosity of intervening DLAs based on their metallicity and their impact parameter. These relations are strictly speaking only valid for z ~ 3 DLAs. We also adopted this model for DLAs at lower redshift and for sub-DLAs. The main difference between a sub-DLA and a DLA is a larger covering fraction, i.e. impact parameter, if DLAs and sub-DLA are drawn from the same population of galaxies. Based on the measured metallicities, we estimated the brightness and the impact parameter of the unidentified DLA galaxies towards GRBs 050730 and 050820A. For GRB 050908, we used EWrest(Si ii λ1526) as a metallicity proxy (Prochaska et al. 2008).
The estimated brightnesses, shown in Table 7, indicate that most galaxy counterparts evaded detection because of their intrinsic faintness. This result is not surprising. The majority of all z ~ 3 DLA galaxies are expected to be fainter than ~29.5 mag in the R-band, i.e. L ≲ 0.012 L∗, in the Fynbo et al. (2008) model. The model clearly rules out large impact parameters. Even the larger covering fraction of sub-DLAs does not imply impact parameters of more than 2–3″ (15.7–23.5 kpc at z ~ 3). The intervening DLA towards GRB 050908 possibly has a ~0.5 L∗ galaxy counterpart.
We find several objects in the field of GRBs 050730 and 050908 that fulfil both criteria,
being very faint and having a very small impact parameter (Table 4). There are several objects with a brightness of
F775W ~ 28.4 mag within
25 of the
afterglow position of GRB 050730. If one of these objects is the galaxy counterpart to the
sub-DLA, it is a 0.03 L ∗ galaxy. In the field of GRB
050908 we find four objects ranging in brightness from R = 25.3 to 27 mag
within 4″ of the afterglow position, corresponding to
L ≲ 0.4 L ∗ . To elucidate the nature of
these objects, more data are required.
4.3. Quasar radiation field
Absorption and emission lines of QSO J1408-0346 and the strong Mg ii absorber at z = 1.77425 towards it.
![]() |
Fig. 9
X-shooter spectrum of QSO J1408-0346 (bottom). The spectrum beyond 1.8 μm is not shown due to uncertainty in the flux calibration. The observed and rest-frame wavelengths are shown below and above each panel, respectively. The error spectrum is shown in grey. Regions of strong telluric features (atmosphere transparency <20%) were not used in the spectral analysis and are marked by small boxes at the top of each panel (NIR: Gemini observatory). The red line is the average z = 3 QSOs spectrum taken from Pâris et al. (2011). Prominent absorption and emission lines from the quasar are indicated by vertical solid lines, and the absorption lines from the strong Mg ii absorber at z = 1.77425 by vertical dashed lines (see Table 8). Zoom-ins on the absorption lines of the Mg ii absorber are shown in the top panel. They were normalised with the QSO composite spectrum. |
In Sect. 3.1, we alluded to the serendipitous
coincidence of the sub-DLA (z = 3.02) towards GRB 050730 and the QSO that
is 17 5 south of the
GRB position. Before we discuss their connection, we present general properties of the
quasar.
After subtracting the bright R = 18.2 mag foreground star (Sect. 2.2; Table 4), we
measure an R-band magnitude of 20.78 ± 0.05 mag (corrected for Galactic
extinction, Table 4). The coordinates of the quasar
are RA and
Dec
, with an uncertainty of
0
4. Hereafter the
QSO is denoted as QSO J1408-0346. Figure 9 shows the
quasar spectrum secured with X-shooter on 18 April, 2010. Table 8 summarises the detected quasar emission and absorption lines; the mean
emission line redshift is zem = 3.023 ± 0.007. The emission
lines are substantially narrower in comparison to the quasar composite spectrum by Pâris et al. (2011), which is overplotted in red. In
addition to the emission lines, we detect C iv and Lyα in
absorption at zqso (Table 8). The narrow C iv absorption lines consist of two blueshifted
velocity components at 1420 and 1497 km s-1 with respect to the maximum of the
C iv emission line.
The proximity of the GRB line-of-sight can constrain the quasar radiation field. Fox et al. (2007) reported that DLAs and sub-DLAs bearing N v are extremely rare, and that several of these have a nearby QSO coincident (>33%) at the (sub)-DLA redshift (see also Fox et al. 2007; Ellison et al. 2010). We did not find evidence for N v in absorption in the GRB afterglow spectrum. Addditionally, the ionising UV radiation field of a bright quasar can also lead to visible underdensity in the Lyα forest as the redshift approaches the quasar emission redshift. This is referred to as the proximity effect (Carswell et al. 1982; Tytler 1987; Bajtlik et al. 1988). In addition, if the quasar radiates isotropically, the line of sight of GRB 050730 might show an underdensity in the Lyα forest around the redshift of the foreground quasar (i.e. the transverse proximity effect; Bajtlik et al. 1988). At the projected distance of 137 kpc, the QSO with an inferred Lyman-limit flux density of 9 μJy exceeds the H i UV background at z ~ 3 by a factor of ~170 (Guimarães et al. 2007; Dall’Aglio et al. 2009). In this case, the Lyα forest at the redshift of the QSO is dominated by the sub-DLA so it impossible to infer if there is an effect of the QSO on the IGM along the GRB afterglow line-of-sight.
4.4. Correlated structures
The spectra of GRB 050730 and the QSO 175 south of it
(Fig. 1) share a common wavelength interval, as do
GRB 070721B and the bright galaxy D7 20
7 SW of it
(Fig. 6). These allow us to identify correlated
structures in both fields. We are particularly interested in absorbers with metal lines,
because they are related to galaxies. Their detections provide information on galaxy
impact parameters and their clustering.
Correlated structures have been found in several quasar pairs on a length scale of a few kpc up to ~100 kpc (e.g. Smette et al. 1995; Petry et al. 1998; Ellison et al. 2004, 2007), and on a length scale of several hundreds of kpc up to a few Mpc (Francis & Hewett 1993; Francis et al. 1996; Fynbo et al. 2003; D’Odorico et al. 2002; Coppolani et al. 2006). In the literature, two different scenarios are discussed to explain correlated structures on these different length scales: a) the lines of sight probe the halo of one galaxy, or of a galaxy and a satellite galaxy; and b) the different lines of sight probe different galaxies that belong to a group of galaxy and are part of a large-scale structure. Here we argue that the latter interpretation of correlations being due to large scale structure better explains our observations of the absorbers in both GRB fields.
4.4.1. The field of GRB 050730
The lines of sight of GRB 050730 and QSO J1408-0346 are separated by
175. We
identify a Mg ii at z ≈ 1.774 in both of them, as well as the
sub-DLA towards the GRB and QSO J1408-0346 that are at almost identical redshifts
(zsub − DLA = 3.02209,
zQSO, em = 3.023).
The coincidence of the sub-DLA and the QSO is in line with evidence for anisotropic
emission of QSOs, which seem to have cleared their surroundings preferentially towards
us rather than perpendicular to the line-of-sight (Hennawi & Prochaska 2007). At least it suggests that QSOs reside in
overdense regions (Rollinde et al. 2005; Faucher-Giguère et al. 2008). The angular distance of
175 between
the sub-DLA and the QSO translates into a transverse distance of 137 kpc at
z ≃ 3.022, which is several times larger than the typical sub-DLA
impact parameter of ~39 kpc in Péroux et al.
(2011) and Krogager et al. (2012). Ellison et al. (2010) argued that proximate DLAs,
i.e. DLAs within a comoving distance of 42 Mpc
(Δv = 3000 km s-1) around QSOs, are not associated
with the QSO host, but rather sample overdensities around it (see also Russell et al. 2006). Therefore, the intervening
sub-DLA towards GRB 050730 could be an overdensity in the vicinity of the QSO rather
than a part of the massive halo of the quasar host galaxy.
The common Mg ii absorbers towards GRB 050730 and the QSO are at
zGRB,Mg ii = 1.7731 and
zQSO,Mg ii = 1.77425. Vergani et al. (2009) reported a restframe Mg ii equivalent
width of 0.93 ± 0.03 Å and Prochaska et al.
(2007a) reported that the doublet is saturated so that the absorber can be
placed in the strong Mg ii absorber category. For the intervening Mg ii
absorber towards the QSO, we measure
EWrest(2796 Å) = 1.24 ± 0.34
(saturated; Table 8). In addition, we detect
Zn ii λ 2026 and several Fe ii absorption lines of
that absorber at the same redshift, summarised in Table 8. At the redshift of 1.774, the angular distance of
175 translates
into a projected distance of 150 kpc, while their redshift implies a velocity distance
of 124 km s-1. Chen et al. (2010)
reported a typical impact parameter of around ~30 kpc for Mg ii
absorbers (see also Smette et al. 1995),
arguing against the hypothesis that both strong Mg ii absorbers are associated
with the same galaxy12. Finally, we note that
there is a high-column density absorber at z ≈ 2.98 in the afterglow
spectrum, which has no counterpart in the spectrum of the quasar.
4.4.2. The field of GRB 070721B
In Sect. 3.4 we identified object D3 as the galaxy counterpart of the intervening DLA in the afterglow spectrum of GRB 070721B. In addition, we identified another intervening DLA towards the Lyα emitter D7 that is at a similar redshift and has a similar H i column density to the DLA galaxy, but is 160.7 kpc from the location of D3 (Figs. 5, 6). It is unlikely that the intervening DLA towards D7 is gravitationally bound to the DLA galaxy D3 because of this large impact parameter. The average impact parameter of DLAs is 13 kpc, although Francis et al. (1996) also reported a candidate counterpart with impact parameter of 182 kpc.
D3 and the intervening absorber towards D7 appear more similar to the pairs of intervening absorption-line systems discussed in Ellison et al. (2007)13. They found found a pair of sub-DLAs at z = 2.94 and a pair of DLAs at z = 2.66 towards a binary quasar, where the individual absorbers of each pair are separated by ~100 kpc. Based on simulations, they showed that the presence of a large-scale structure is more likely than the different lines of sight probing the halo of two massive galaxies at z = 2.66 and 2.94, respectively. In this case, the probability increases from p ≲ 10-3 to 0.01. We find several correlated structures on a length scale of ~160 kpc in the fields of GRBs 050730 and 070721B. These are most likely more examples for a group environment of intervening absorption-line systems.
5. Conclusions
The aim of our work was to detect galaxy counterparts of high-z intervening sub-DLAs and DLAs. In contrast to previous studies, we used GRBs to have a clear view on the region that is usually outshone by the glare of a quasar. Since the launch of the Swift satellite, seven intervening sub-DLAs and DLAs have been found towards six GRBs. Among them, four lines-of-sight have sufficient photometric and spectroscopic data to study very faint objects.
In our study we successfully detected the DLA galaxy that causes the intervening DLA
absorption towards GRB 0707021B, 1″ from the afterglow position, as suggested by Chen et al. (2009) and Fynbo et al. (2009). However, these authors did not present any spectroscopic
evidence for their inference. Indeed, the DLA galaxy would have been almost impossible to
detect by direct imaging if the background source had been a 19-mag quasar. This underlines
the argument of Jakobsson et al. (2004) that studies
of the galaxy counterparts of intervening absorption line systems towards QSOs can be
affected by misidentifications. Hence, proximity is not sufficient for an association. For
instance in the case of GRB 050820A, the extensive photometric and spectroscopic campaigns
allowed us to successfully rule out all objects brighter 26.2 mag in
F625W-band within
37, corresponding
to L ≲ 0.1 L ∗ at
z = 2.3598. Assuming that sub-DLAs and DLAs are LBGs weighted by their
H i cross-section, Fynbo et al. (2008)
showed that the overwhelming majority of intervening DLA galaxies are expected to be fainter
than this, naturally explaining the non-detections. Even with the largest telescopes, it is
difficult to detect and elucidate the nature of these faint objects. On the other hand,
there are cases where intervening absorption-line systems were successfully associated with
galaxies at larger distances (e.g. Francis & Hewett
1993), however they are just a minority.
The disadvantage of our approach is the vast amount of observing time required. Deep multi-filter observations exist for several GRBs. However, similar extensive spectroscopic campaigns do not exist for other GRB fields. In those cases, one relies on SED fitting techniques. Rao et al. (2011) showed that this can indeed be successful, in particular for very faint objects where only emission-line spectroscopy is feasible. Recently, Péroux et al. (2011) performed a survey for galaxy counterparts of intervening DLAs using the integral field unit VLT/SINFONI (see also Christensen et al. 2004a; Bouché et al. 2012). This approach could be complementary to the classical strategy of performing very deep imaging campaigns and spectroscopic follow-ups on candidates, or the use of narrow band and broad band strategy to search for emission line objects (e.g. Vreeswijk et al. 2003).
The DLA galaxy (z = 3.096 ± 0.003) in the field of GRB 070721B is the most luminous high-z DLA galaxy known (Chen et al. 2009), and is almost as distant as the highest-redshift DLA galaxy known so far at z = 3.15. The number of high-z sub-DLA and DLA galaxies increases thus from nine to ten. DLA J0212-0211 is very metal rich, [Fe/H] > −0.21. It does not differ from normal LBGs, with the exception of the large amount of H i in its halo. This supports a model in which DLAs can be gaseous halos of LBGs (Fynbo et al. 1999; Møller et al. 2002; Fynbo et al. 2008; Rafelski et al. 2011).
The extensive photometric and spectroscopic campaigns allowed us to identify galaxy counterpart candidates of two strong Mg ii absorbers at z = 0.6915 and 1.4288 towards GRB 050820A. The most likely candidates have impact parameters between 36.8 and 42.0 kpc, which is in the expected range of Mg ii absorbers (Chen et al. 2010). Their properties point to young star-forming galaxies, ranging in luminosity from 0.2 L ∗ to 0.9 L ∗ .
Finally, we studied the presence of correlated structures as a particular class of intervening absorption-line systems, a phenomenon observed in the field of GRBs 050730 and 070721B. We found evidence for three correlated structures in the field of GRB 050730 and one in the field of GRB 070721B. These absorbers range in redshift from z = 1.774 to 3.096 and were probed over transverse distances between 137 and 161 kpc. All of them have associated metal absorption-lines. It is unlikely that the objects in these correlated structures are gravitationally bound to each other, based on simulations (e.g. Ellison et al. 2007). The detection is nevertheless intriguing. The average distance between quasar pairs is several times larger. Up to now, intervening absorption-line systems with coincidences in redshift have been found with separations of several hundreds of kpc up to a few Mpc (e.g. Francis & Hewett 1993; D’Odorico et al. 2002), but only few with a separation of ~150 kpc (Ellison et al. 2007). These serendipitous discoveries are important for studying the absorption cross-section of intervening absorption-line systems, their correlation length, and their implications on galaxy groups in the early Universe.
The spectrum of B3 shows a prominent emission line at ~6310 Å. The bright [O i] sky emission line at 6300.3 Å partly overlaps with this feature, making the identification ambiguous. If this is indeed an emission line of galaxy B3, it is likely [O ii] λ3727 redshifted to z ~ 0.693, coinciding in redshift with a strong Mg ii absorber.
There are some uncertainties in the Lyα profile fits for D3, D4 and D7. Because of the resolution and the quality of the spectra, the damped wings are barely visible (see Fig. 5). We cannot rule out the possibility that a blend of narrow Lyα lines mimics the strong absorption feature. It is not very likely, because it would require that D3 and D7 have a comparable density of H i clumps at almost identical redshifts. Strictly speaking, the stated column densities are only upper limits. The fit does not rule out an extremely large Doppler parameter (b ≫ 100 km s-1), implying a reduction of the H i content by a factor of 100. This remark has in particular to be kept in mind for the strong Lyα absorption feature of the intervening absorber towards D7.
We obtain the following 3σ upper limits from the VLT/FORS1 spectrum, assuming an aperture of 1665 km s-1 (twice the FWHM of a Gaussian with a Doppler parameter of b = 500 km s-1): EWrest (Si ii λ1260) < 3.6 Å, EWrest(O i λ1302) < 2.8 Å, EWrest(C ii λ1334) < 2.8 Å, EWrest(Si iv λ1339) < 2.7 Å, EWrest(C iv λ1548) < 2.7 Å, EWrest(Fe ii λ1608) < 3.0 Å, and EWrest(Al ii λ1670) < 3.3 Å. These limits are on average less stringent than the measurements of the detected metal lines in the DLA galaxy D3 (see Table 6).
The photometric redshift of B6 also matches that of a weak Mg ii absorber at z = 1.6204 towards GRB 050820A. It is unlikely that the galaxy is the counterpart of the weak Mg ii absorber, because the correlation length of weak Mg ii absorbers is ~2 kpc (Ellison et al. 2004).
The galaxy counterpart of the Mg ii absorber towards the QSO is fainter than 26.5 (25.1) mag in F775W (corrected for Galactic extinction) for an impact parameter of 50 kpc (100 kpc), assuming that the galaxy counterpart is neither in the glare of the QSO, nor at the position of the foreground star. Adopting the Dahlen et al. (2005) LF, the limiting magnitudes correspond to L < 0.13 L ∗ and L < 0.48 L ∗ .
The galaxy counterpart of the intervening DLA towards D7 is fainter than 25.2 mag in F775W, assuming an impact parameter of 50 to 100 kpc, corresponding to L < 0.7 L ∗ , using the LF in Reddy et al. (2008).
Acknowledgments
We thank the referee for a careful reading of the manuscript and for helpful comments that improved this paper. S.S., A.D.C. and P.J. acknowledge support by a Grant of Excellence from the Icelandic Research Fund. J.P.U.F. acknowledges support form the ERC-StG grant EGGS-278202. A.R. acknowledges support by the Thüringer Landessternwarte Tautenburg and by the Graduierten-Akademie Jena, Germany. S.S. thanks D. Malesani (Dark Cosmology Centre, Copenhagen) for many productive and valuable discussions and D. A. Kann (Thüringer Landessternwarte Tautenburg, Germany) for corrections and comments on the manuscript.
References
- Adelberger, K. L., Steidel, C. C., Shapley, A. E., & Pettini, M. 2003, ApJ, 584, 45 [NASA ADS] [CrossRef] [Google Scholar]
- Adelberger, K. L., Steidel, C. C., Kollmeier, J. A., & Reddy, N. A. 2006, ApJ, 637, 74 [Google Scholar]
- Arnouts, S., Cristiani, S., Moscardini, L., et al. 1999, MNRAS, 310, 540 [NASA ADS] [CrossRef] [Google Scholar]
- Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARA&A, 47, 481 [NASA ADS] [CrossRef] [Google Scholar]
- Bajtlik, S., Duncan, R. C., & Ostriker, J. P. 1988, ApJ, 327, 570 [NASA ADS] [CrossRef] [Google Scholar]
- Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Blanton, M. R., & Roweis, S. 2007, AJ, 133, 734 [NASA ADS] [CrossRef] [Google Scholar]
- Bloom, J. S., Perley, D. A., Li, W., et al. 2009, ApJ, 691, 723 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Bohlin, R. C., & Gilliland, R. L. 2004, AJ, 127, 3508 [NASA ADS] [CrossRef] [Google Scholar]
- Bouché, N., Murphy, M. T., Péroux, C., et al. 2012, MNRAS, 419, 2 [NASA ADS] [CrossRef] [Google Scholar]
- Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000 [NASA ADS] [CrossRef] [Google Scholar]
- Calzetti, D., Armus, L., Bohlin, R. C., et al. 2000, ApJ, 533, 682 [NASA ADS] [CrossRef] [Google Scholar]
- Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [NASA ADS] [CrossRef] [Google Scholar]
- Carswell, R. F., Whelan, J. A. J., Smith, M. G., Boksenberg, A., & Tytler, D. 1982, MNRAS, 198, 91 [NASA ADS] [Google Scholar]
- Chabrier, G., Baraffe, I., Allard, F., & Hauschildt, P. 2000, ApJ, 542, 464 [NASA ADS] [CrossRef] [Google Scholar]
- Chandra, P., & Frail, D. A. 2012, ApJ, 746, 156 [NASA ADS] [CrossRef] [Google Scholar]
- Chen, H.-W. 2012, MNRAS, 419, 3039 [NASA ADS] [CrossRef] [Google Scholar]
- Chen, H., & Lanzetta, K. M. 2003, ApJ, 597, 706 [NASA ADS] [CrossRef] [Google Scholar]
- Chen, H.-W., Lanzetta, K. M., & Fernández-Soto, A. 2000, ApJ, 533, 120 [NASA ADS] [CrossRef] [Google Scholar]
- Chen, H., Prochaska, J. X., Bloom, J. S., & Thompson, I. B. 2005, ApJ, 634, L25 [NASA ADS] [CrossRef] [Google Scholar]
- Chen, H., Perley, D. A., Pollack, L. K., et al. 2009, ApJ, 691, 152 [NASA ADS] [CrossRef] [Google Scholar]
- Chen, H.-W., Helsby, J. E., Gauthier, J.-R., et al. 2010, ApJ, 714, 1521 [NASA ADS] [CrossRef] [Google Scholar]
- Christensen, L., Sánchez, S. F., Jahnke, K., et al. 2004a, Astron. Nachr., 325, 124 [NASA ADS] [CrossRef] [Google Scholar]
- Christensen, L., Sánchez, S. F., Jahnke, K., et al. 2004b, A&A, 417, 487 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Coppolani, F., Petitjean, P., Stoehr, F., et al. 2006, MNRAS, 370, 1804 [NASA ADS] [CrossRef] [Google Scholar]
- Courbin, F., Magain, P., Kirkove, M., & Sohy, S. 2000, ApJ, 529, 1136 [NASA ADS] [CrossRef] [Google Scholar]
- Dahlen, T., Mobasher, B., Somerville, R. S., et al. 2005, ApJ, 631, 126 [NASA ADS] [CrossRef] [Google Scholar]
- Dall’Aglio, A., Wisotzki, L., & Worseck, G. 2009, ApJ, submitted [arXiv:0906.1484] [Google Scholar]
- Devillard, N. 1997, The Messenger, 87, 19 [NASA ADS] [Google Scholar]
- Djorgovski, S. G., Pahre, M. A., Bechtold, J., & Elston, R. 1996, Nature, 382, 234 [NASA ADS] [CrossRef] [Google Scholar]
- D’Odorico, V., Petitjean, P., & Cristiani, S. 2002, A&A, 390, 13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ellison, S. L. 2006, MNRAS, 368, 335 [NASA ADS] [CrossRef] [Google Scholar]
- Ellison, S. L., Yan, L., Hook, I. M., et al. 2002, A&A, 383, 91 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ellison, S. L., Ibata, R., Pettini, M., et al. 2004, A&A, 414, 79 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ellison, S. L., Vreeswijk, P., Ledoux, C., et al. 2006, MNRAS, 372, L38 [NASA ADS] [CrossRef] [Google Scholar]
- Ellison, S. L., Hennawi, J. F., Martin, C. L., & Sommer-Larsen, J. 2007, MNRAS, 378, 801 [NASA ADS] [CrossRef] [Google Scholar]
- Ellison, S. L., Murphy, M. T., & Dessauges-Zavadsky, M. 2009, MNRAS, 392, 998 [NASA ADS] [CrossRef] [Google Scholar]
- Ellison, S. L., Prochaska, J. X., Hennawi, J., et al. 2010, MNRAS, 406, 1435 [NASA ADS] [Google Scholar]
- Faucher-Giguère, C., Lidz, A., Zaldarriaga, M., & Hernquist, L. 2008, ApJ, 673, 39 [NASA ADS] [CrossRef] [Google Scholar]
- Fazio, G. G., Hora, J. L., Allen, L. E., et al. 2004, ApJS, 154, 10 [NASA ADS] [CrossRef] [Google Scholar]
- Fox, A. J., Petitjean, P., Ledoux, C., & Srianand, R. 2007, A&A, 465, 171 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Fox, A. J., Ledoux, C., Vreeswijk, P. M., Smette, A., & Jaunsen, A. O. 2008, A&A, 491, 189 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Francis, P. J., & Hewett, P. C. 1993, AJ, 105, 1633 [NASA ADS] [CrossRef] [Google Scholar]
- Francis, P. J., Woodgate, B. E., Warren, S. J., et al. 1996, ApJ, 457, 490 [NASA ADS] [CrossRef] [Google Scholar]
- Fumagalli, M., O’Meara, J. M., Prochaska, J. X., & Kanekar, N. 2010, MNRAS, 408, 362 [NASA ADS] [CrossRef] [Google Scholar]
- Fynbo, J. U., Møller, P., & Warren, S. J. 1999, MNRAS, 305, 849 [NASA ADS] [CrossRef] [Google Scholar]
- Fynbo, J. P. U., Ledoux, C., Møller, P., Thomsen, B., & Burud, I. 2003, A&A, 407, 147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Fynbo, J. P. U., Starling, R. L. C., Ledoux, C., et al. 2006, A&A, 451, L47 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Fynbo, J. P. U., Prochaska, J. X., Sommer-Larsen, J., Dessauges-Zavadsky, M., & Møller, P. 2008, ApJ, 683, 321 [NASA ADS] [CrossRef] [Google Scholar]
- Fynbo, J. P. U., Jakobsson, P., Prochaska, J. X., et al. 2009, ApJS, 185, 526 [NASA ADS] [CrossRef] [Google Scholar]
- Fynbo, J. P. U., Laursen, P., Ledoux, C., et al. 2010, MNRAS, 408, 2128 [NASA ADS] [CrossRef] [Google Scholar]
- Fynbo, J. P. U., Ledoux, C., Noterdaeme, P., et al. 2011, MNRAS, 413, 2481 [NASA ADS] [CrossRef] [Google Scholar]
- Giavalisco, M. 2002, ARA&A, 40, 579 [NASA ADS] [CrossRef] [Google Scholar]
- Gonzalez Delgado, R. M., Leitherer, C., Heckman, T., et al. 1998, ApJ, 495, 698 [NASA ADS] [CrossRef] [Google Scholar]
- Greiner, J., Krühler, T., Klose, S., et al. 2011, A&A, 526, A30 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Guimarães, R., Petitjean, P., Rollinde, E., et al. 2007, MNRAS, 377, 657 [NASA ADS] [CrossRef] [Google Scholar]
- Haehnelt, M. G., Steinmetz, M., & Rauch, M. 1998, ApJ, 495, 647 [NASA ADS] [CrossRef] [Google Scholar]
- Hennawi, J. F., & Prochaska, J. X. 2007, ApJ, 655, 735 [NASA ADS] [CrossRef] [Google Scholar]
- Henriksen, C. 2008, Master’s Thesis, DARK Cosmology Center – Niels Bohr Institute, Copenhagen University, Juliane Maries Vej 30, 2100 Copenhagen, ø Denmark [Google Scholar]
- Hjorth, J., & Bloom, J. S. 2011 [arXiv:1104.2274] [Google Scholar]
- Hjorth, J., Malesani, D., Jakobsson, P., et al. 2012, ApJ, 756, 187 [NASA ADS] [CrossRef] [Google Scholar]
- Ilbert, O., Arnouts, S., McCracken, H. J., et al. 2006, A&A, 457, 841 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jakobsson, P., Hjorth, J., Fynbo, J. P. U., et al. 2004, A&A, 427, 785 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jimenez, R., Bowen, D. V., & Matteucci, F. 1999, ApJ, 514, L83 [NASA ADS] [CrossRef] [Google Scholar]
- Kann, D. A., Klose, S., Zhang, B., et al. 2010, ApJ, 720, 1513 [NASA ADS] [CrossRef] [Google Scholar]
- Kouveliotou, C., Meegan, C. A., Fishman, G. J., et al. 1993, ApJ, 413, L101 [NASA ADS] [CrossRef] [Google Scholar]
- Krist, J. 1993, in Astronomical Data Analysis Software and Systems II, eds. R. J. Hanisch, R. J. V. Brissenden, & J. Barnes, ASP Conf. Ser., 52, 536 [Google Scholar]
- Krogager, J.-K., Fynbo, J. P. U., Møller, P., et al. 2012, MNRAS, L461 [Google Scholar]
- Krühler, T., Greiner, J., Schady, P., et al. 2011, A&A, 534, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kunth, D., Mas-Hesse, J. M., Terlevich, E., et al. 1998, A&A, 334, 11 [NASA ADS] [Google Scholar]
- Landolt, A. U. 1992, AJ, 104, 340 [NASA ADS] [CrossRef] [Google Scholar]
- Larson, D., Dunkley, J., Hinshaw, G., et al. 2011, ApJS, 192, 16 [NASA ADS] [CrossRef] [Google Scholar]
- Laursen, P., Sommer-Larsen, J., & Andersen, A. C. 2009, ApJ, 704, 1640 [NASA ADS] [CrossRef] [Google Scholar]
- Le Brun, V., Bergeron, J., Boisse, P., & Deharveng, J. M. 1997, A&A, 321, 733 [NASA ADS] [Google Scholar]
- Ledoux, C., Vreeswijk, P., Ellison, S., et al. 2005, GCN Circ., 3860 [Google Scholar]
- Ledoux, C., Vreeswijk, P. M., Smette, A., et al. 2009, A&A, 506, 661 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Letawe, Y., Magain, P., Letawe, G., Courbin, F., & Hutsemékers, D. 2008, ApJ, 679, 967 [Google Scholar]
- Lu, L., Wolfe, A. M., Turnshek, D. A., & Lanzetta, K. M. 1993, ApJS, 84, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Magain, P., Courbin, F., & Sohy, S. 1998, ApJ, 494, 472 [NASA ADS] [CrossRef] [Google Scholar]
- Markwardt, C. B. 2009, in Astronomical Data Analysis Software and Systems XVIII, eds. D. A. Bohlender, D. Durand, & P. Dowler, ASP Conf. Ser., 411, 251 [Google Scholar]
- Masetti, N., Palazzi, E., Pian, E., et al. 2003, A&A, 404, 465 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Møller, P., & Warren, S. J. 1993, A&A, 270, 43 [NASA ADS] [CrossRef] [Google Scholar]
- Møller, P., Warren, S. J., Fall, S. M., Fynbo, J. U., & Jakobsen, P. 2002, ApJ, 574, 51 [NASA ADS] [CrossRef] [Google Scholar]
- Møller, P., Fynbo, J. P. U., & Fall, S. M. 2004, A&A, 422, L33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Milvang-Jensen, B., Fynbo, J. P. U., Malesani, D., et al. 2012, ApJ, 756, 25 [NASA ADS] [CrossRef] [Google Scholar]
- Nagamine, K., Wolfe, A. M., Hernquist, L., & Springel, V. 2007, ApJ, 660, 945 [NASA ADS] [CrossRef] [Google Scholar]
- Noterdaeme, P., Petitjean, P., Ledoux, C., & Srianand, R. 2009, A&A, 505, 1087 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Noterdaeme, P., Laursen, P., Petitjean, P., et al. 2012, A&A, 540, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Okoshi, K., & Nagashima, M. 2005, ApJ, 623, 99 [NASA ADS] [CrossRef] [Google Scholar]
- Overzier, R. A., Heckman, T. M., Schiminovich, D., et al. 2010, ApJ, 710, 979 [NASA ADS] [CrossRef] [Google Scholar]
- Pâris, I., Petitjean, P., Rollinde, E., et al. 2011, A&A, 530, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Péroux, C., Dessauges-Zavadsky, M., D’Odorico, S., Sun Kim, T., & McMahon, R. G. 2005, MNRAS, 363, 479 [NASA ADS] [CrossRef] [Google Scholar]
- Péroux, C., Bouché, N., Kulkarni, V. P., York, D. G., & Vladilo, G. 2011, MNRAS, 410, 2237 [NASA ADS] [CrossRef] [Google Scholar]
- Péroux, C., Bouché, N., Kulkarni, V. P., York, D. G., & Vladilo, G. 2012, MNRAS, 419, 3060 [NASA ADS] [CrossRef] [Google Scholar]
- Petry, C. E., Impey, C. D., & Foltz, C. B. 1998, ApJ, 494, 60 [NASA ADS] [CrossRef] [Google Scholar]
- Pettini, M., Kellogg, M., Steidel, C. C., et al. 1998a, ApJ, 508, 539 [NASA ADS] [CrossRef] [Google Scholar]
- Pettini, M., Steidel, C. C., Adelberger, K. L., et al. 1998b, in ASP Conf. Ser., 148, Origins, eds. C. E. Woodward, J. M. Shull, & H. A. Thronson Jr., 67 [Google Scholar]
- Pettini, M., Steidel, C. C., Adelberger, K. L., Dickinson, M., & Giavalisco, M. 2000, ApJ, 528, 96 [NASA ADS] [CrossRef] [Google Scholar]
- Piranomonte, S., Ward, P. A., Fiore, F., et al. 2008, A&A, 492, 775 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pollack, L. K., Chen, H., Prochaska, J. X., & Bloom, J. S. 2009, ApJ, 701, 1605 [NASA ADS] [CrossRef] [Google Scholar]
- Prochaska, J. X., & Wolfe, A. M. 1997, ApJ, 487, 73 [CrossRef] [Google Scholar]
- Prochaska, J. X., & Wolfe, A. M. 1998, ApJ, 507, 113 [NASA ADS] [CrossRef] [Google Scholar]
- Prochaska, J. X., & Wolfe, A. M. 2009, ApJ, 696, 1543 [NASA ADS] [CrossRef] [Google Scholar]
- Prochaska, J. X., Herbert-Fort, S., & Wolfe, A. M. 2005, ApJ, 635, 123 [NASA ADS] [CrossRef] [Google Scholar]
- Prochaska, J. X., Chen, H., Bloom, J. S., et al. 2007a, ApJS, 168, 231 [NASA ADS] [CrossRef] [Google Scholar]
- Prochaska, J. X., Chen, H., Dessauges-Zavadsky, M., & Bloom, J. S. 2007b, ApJ, 666, 267 [NASA ADS] [CrossRef] [Google Scholar]
- Prochaska, J. X., Chen, H.-W., Wolfe, A. M., Dessauges-Zavadsky, M., & Bloom, J. S. 2008, ApJ, 672, 59 [NASA ADS] [CrossRef] [Google Scholar]
- Prochter, G. E., Prochaska, J. X., & Burles, S. M. 2006, ApJ, 639, 766 [NASA ADS] [CrossRef] [Google Scholar]
- Racusin, J. L., Liang, E. W., Burrows, D. N., et al. 2009, ApJ, 698, 43 [NASA ADS] [CrossRef] [Google Scholar]
- Rafelski, M., Wolfe, A. M., & Chen, H.-W. 2011, ApJ, 736, 48 [NASA ADS] [CrossRef] [Google Scholar]
- Rao, S. M., & Turnshek, D. A. 2000, ApJS, 130, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Rao, S. M., Belfort-Mihalyi, M., Turnshek, D. A., et al. 2011, MNRAS, 416, 1215 [NASA ADS] [CrossRef] [Google Scholar]
- Rauch, M. 1998, ARA&A, 36, 267 [NASA ADS] [CrossRef] [Google Scholar]
- Reddy, N. A., Steidel, C. C., Pettini, M., et al. 2008, ApJS, 175, 48 [NASA ADS] [CrossRef] [Google Scholar]
- Rollinde, E., Srianand, R., Theuns, T., Petitjean, P., & Chand, H. 2005, MNRAS, 361, 1015 [NASA ADS] [CrossRef] [Google Scholar]
- Russell, D. M., Ellison, S. L., & Benn, C. R. 2006, MNRAS, 367, 412 [NASA ADS] [CrossRef] [Google Scholar]
- Salvaterra, R., Della Valle, M., Campana, S., et al. 2009, Nature, 461, 1258 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Schady, P., Page, M. J., Oates, S. R., et al. 2010, MNRAS, 401, 2773 [NASA ADS] [CrossRef] [Google Scholar]
- Sirianni, M., Jee, M. J., Benítez, N., et al. 2005, PASP, 117, 1049 [NASA ADS] [CrossRef] [Google Scholar]
- Smette, A., Robertson, J. G., Shaver, P. A., et al. 1995, A&AS, 113, 199 [Google Scholar]
- Smith, H. E., Cohen, R. D., Burns, J. E., Moore, D. J., & Uchida, B. A. 1989, ApJ, 347, 87 [NASA ADS] [CrossRef] [Google Scholar]
- Starling, R. L. C., Vreeswijk, P. M., Ellison, S. L., et al. 2005, A&A, 442, L21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Steidel, C. C., Adelberger, K. L., Giavalisco, M., Dickinson, M., & Pettini, M. 1999, ApJ, 519, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Stetson, P. B. 2000, PASP, 112, 925 [NASA ADS] [CrossRef] [Google Scholar]
- Tanvir, N. R., Fox, D. B., Levan, A. J., et al. 2009, Nature, 461, 1254 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Tody, D. 1986, in SPIE Conf. Ser. 627, ed. D. L. Crawford, 733 [Google Scholar]
- Tyson, N. D. 1988, ApJ, 329, L57 [NASA ADS] [CrossRef] [Google Scholar]
- Tytler, D. 1987, ApJ, 321, 69 [NASA ADS] [CrossRef] [Google Scholar]
- Vergani, S. D., Petitjean, P., Ledoux, C., et al. 2009, A&A, 503, 771 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Verhamme, A., Schaerer, D., & Maselli, A. 2006, A&A, 460, 397 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Vreeswijk, P. M., Møller, P., & Fynbo, J. P. U. 2003, A&A, 409, L5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Vreeswijk, P. M., Ellison, S. L., Ledoux, C., et al. 2004, A&A, 419, 927 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Warren, S. J., Møller, P., Fall, S. M., & Jakobsen, P. 2001, MNRAS, 326, 759 [Google Scholar]
- Weatherley, S. J., Warren, S. J., Møller, P., et al. 2005, MNRAS, 358, 985 [NASA ADS] [CrossRef] [Google Scholar]
- Wolfe, A. M. 1986, Roy. Soc. London Philos. Trans. Ser. A, 320, 503 [NASA ADS] [CrossRef] [Google Scholar]
- Wolfe, A. M., & Prochaska, J. X. 1998, ApJ, 494, L15 [NASA ADS] [CrossRef] [Google Scholar]
- Wolfe, A. M., Gawiser, E., & Prochaska, J. X. 2005, ARA&A, 43, 861 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
- Woosley, S. E. 2011 [arXiv:1105.4193] [Google Scholar]
- Zafar, T., Watson, D., Fynbo, J. P. U., et al. 2011, A&A, 532, A143 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Zhang, B., & Mészáros, P. 2004, Int. J. Mod. Phys. A, 19, 2385 [NASA ADS] [CrossRef] [Google Scholar]
Appendix A: Additional figures
![]() |
Fig. A.1
Smoothed spectrum of the galaxy B9 in the field of view of GRB 050820A. Based on the identification of [O ii] λ3727 and [O iii] λ5007 the redshift is z = 0.428. The galaxy is not related to any of the intervening absorbers seen in the afterglow spectrum. The error spectrum is overplotted. Regions of strong telluric features (atmosphere transparency <20%) were not used in the spectral analysis and are marked by small boxes at the top. |
![]() |
Fig. A.2
Galaxy B2 in the field of GRB 050820A. Top: spectrum acquired with VLT/FORS2. The identified Ca ii H&K absorption lines and the Balmer break are marked. The inset zooms-in on the position of the both absorption lines. Based on the identification of the three absorption features the redshift of the galaxy is z = 0.693. The error spectrum is overplotted. Regions of strong telluric features (atmosphere transparency <20%) are not used in the spectral analysis and are marked by small boxes at the top. Bottom: SED from g′-band to 5.8 μm. The observed data points (corrected Galactic extinction) are shown as circles with error bars. The solid line displays the best-fit model of the SED (χ2 = 16.3; number of filters =9). The model-predicted magnitudes are superposed (squares). The grey area highlights the interval that is covered by the spectrum above. |
![]() |
Fig. A.3
Similar to Fig. A.2, but for galaxy B3 from g′-band to 5.8 μm. The fit quality is χ2 = 7.3 for nine filters. |
![]() |
Fig. A.4
Similar to Fig. A.2, but for galaxy B5 from g′- to Ks-band. The fit quality is χ2 = 1.5 for five filters. |
![]() |
Fig. A.5
Similar to Fig. A.2, but for galaxy B6 from g′-band to 5.8 μm. The fit quality is χ2 = 1.6 for nine filters. |
All Tables
Properties of the galaxy counterpart candidates of the strong Mg ii absorber towards GRB 050820A (zMg ii = 0.692 and 1.430) and the DLA galaxy towards GRB 070721B (zDLA = 3.094).
DLA J0212-0211 absorption lines in the DLA galaxy and the GRB 070721B afterglow spectrum.
Limiting magnitudes of the galaxy counterparts of the intervening absorption line systems.
Absorption and emission lines of QSO J1408-0346 and the strong Mg ii absorber at z = 1.77425 towards it.
All Figures
![]() |
Fig. 1
Left panel: the field of view of GRB 050730
(z = 3.969) observed in
F775W with HST/ACS. Middle
panel: zoom-in on the inner 28 |
In the text |
![]() |
Fig. 2
Similar to Fig. 1, but for GRB 050820A (z = 2.615). In contrast to GRB 050730, the field of GRB 050820A was observed in nine filters ranging from 473 nm to 5800 nm, in addition to extensive spectroscopy campaigns. This allowed us to construct the SED of several objects in the field of view. The width of the displayed field is 29″, twice the maximum impact parameter of 100 kpc of the strong Mg ii absorber at z = 0.6915, while the circle displays the maximum impact parameter of 100 kpc at the redshift of the intervening sub-DLA at z = 2.3598. Every object within 100 kpc is labelled if it is either detected in at least five filters or covered by a slit. Objects B7 and B10 appear to be not in the slit, due to the smaller PSF of the HST in comparison to the VLT. |
In the text |
![]() |
Fig. 3
GRB 050908 afterglow spectrum obtained with VLT/FORS1, centred on the intervening Lyα absorption line (zDLA = 2.6208; log N(H i) = 20.8 ± 0.1). A neutral hydrogen column density fit to the damped Lyα line is shown with a solid line, while the shaded region indicates the 1σ errors. |
In the text |
![]() |
Fig. 4
Similar to Fig. 1, but for GRB 050908
(z = 3.3467). The different slit orientations from Table 1 are overplotted. The circle radius of
12 |
In the text |
![]() |
Fig. 5
Fit of the intervening Lyα absorption features towards galaxy D7 (zabs = 3.085; log N(H i) = 20.7 ± 0.2) and towards GRB 070721B (zabs = 3.0939; log N(H i) = 20.1 ± 0.3), and the Lyα absorption feature in the DLA galaxy D3 (zabs = 3.096; log N(H i) = 21.3 ± 0.2). The fit of D3 nicely shows the Lyα emission in the red part of the trough. The afterglow spectrum (D4) was acquired with VLT/FORS2, while the displayed spectra of D3 and D7 were extracted from the VLT/FORS1 data. The fit is shown with a solid line, while 1σ errors are displayed with the shaded region. |
In the text |
![]() |
Fig. 6
Similar to Fig. 1, but for GRB 070721B
(z = 3.6298). Object D4 is the host galaxy. Object D3 is the
galaxy counterpart to the intervening DLA (z = 3.094) towards
GRB 070721B. The impact parameter of the DLA galaxy is 1′′ (7.9 kpc). The line of
sight of object D7 also traverses a DLA at z = 3.085. The distance
between objects D3 and D7 is 21 |
In the text |
![]() |
Fig. 7
VLT/FORS1 2D spectrum obtained after the optical afterglow of GRB 070721B faded. The photometric counterparts of the different traces are labelled according to Fig. 6 and Table 4. The host (D4) is only visible via its Lyα emission. The afterglow spectrum of GRB 070721B would be located at the position of D4. Prominent absorption and emission lines of the galaxies and intervening absorption-line systems are highlighted and colour-coded. The intervening DLA present in the afterglow spectrum is the very bright galaxy D3. The spectrum of the Lyα emitter D7 displays an intervening DLA as well. |
In the text |
![]() |
Fig. 8
Spectrum (middle) and the SED (bottom) of the DLA galaxy D3 in the field of GRB 070721B. In the middle panel, the error spectrum is overplotted and several absorption lines are marked. Regions of strong telluric features (atmosphere transparency <20%) were not used in the spectral analysis and are marked by a small box at the top. The top panel shows zoom-ins on the individual absorption lines. In the bottom panel, the observed extinction-corrected data points are shown as circles with error bars. The curve represents the best fit to the observed SED. The model-predicted magnitudes (squares) are superposed. The grey area highlights the interval that is covered by the spectrum above. |
In the text |
![]() |
Fig. 9
X-shooter spectrum of QSO J1408-0346 (bottom). The spectrum beyond 1.8 μm is not shown due to uncertainty in the flux calibration. The observed and rest-frame wavelengths are shown below and above each panel, respectively. The error spectrum is shown in grey. Regions of strong telluric features (atmosphere transparency <20%) were not used in the spectral analysis and are marked by small boxes at the top of each panel (NIR: Gemini observatory). The red line is the average z = 3 QSOs spectrum taken from Pâris et al. (2011). Prominent absorption and emission lines from the quasar are indicated by vertical solid lines, and the absorption lines from the strong Mg ii absorber at z = 1.77425 by vertical dashed lines (see Table 8). Zoom-ins on the absorption lines of the Mg ii absorber are shown in the top panel. They were normalised with the QSO composite spectrum. |
In the text |
![]() |
Fig. A.1
Smoothed spectrum of the galaxy B9 in the field of view of GRB 050820A. Based on the identification of [O ii] λ3727 and [O iii] λ5007 the redshift is z = 0.428. The galaxy is not related to any of the intervening absorbers seen in the afterglow spectrum. The error spectrum is overplotted. Regions of strong telluric features (atmosphere transparency <20%) were not used in the spectral analysis and are marked by small boxes at the top. |
In the text |
![]() |
Fig. A.2
Galaxy B2 in the field of GRB 050820A. Top: spectrum acquired with VLT/FORS2. The identified Ca ii H&K absorption lines and the Balmer break are marked. The inset zooms-in on the position of the both absorption lines. Based on the identification of the three absorption features the redshift of the galaxy is z = 0.693. The error spectrum is overplotted. Regions of strong telluric features (atmosphere transparency <20%) are not used in the spectral analysis and are marked by small boxes at the top. Bottom: SED from g′-band to 5.8 μm. The observed data points (corrected Galactic extinction) are shown as circles with error bars. The solid line displays the best-fit model of the SED (χ2 = 16.3; number of filters =9). The model-predicted magnitudes are superposed (squares). The grey area highlights the interval that is covered by the spectrum above. |
In the text |
![]() |
Fig. A.3
Similar to Fig. A.2, but for galaxy B3 from g′-band to 5.8 μm. The fit quality is χ2 = 7.3 for nine filters. |
In the text |
![]() |
Fig. A.4
Similar to Fig. A.2, but for galaxy B5 from g′- to Ks-band. The fit quality is χ2 = 1.5 for five filters. |
In the text |
![]() |
Fig. A.5
Similar to Fig. A.2, but for galaxy B6 from g′-band to 5.8 μm. The fit quality is χ2 = 1.6 for nine filters. |
In the text |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
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.