Free Access
Issue
A&A
Volume 532, August 2011
Article Number A143
Number of page(s) 31
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/201116663
Published online 08 August 2011

© ESO, 2011

1. Introduction

Extinction of light is the scattering and absorption of photons along the travel path from an object to the observer. Dust grains are the major contributor to extinction in the optical and ultraviolet (UV) range. More than 30% of the UV and optical light from stars in the Universe may be absorbed and re-radiated thermally at infrared and millimeter wavelengths by the obscuring dust (Lagache et al. 2005; Franceschini et al. 2008). Extinction curves are the standard tool to study dust in the optical and UV energy bands, revealing information about the dust grain size and composition by considering the amount of light lost due to scattering and absorption. The extinction curves of the Milky Way (MW) and the Large and Small Magellanic Clouds (LMC and SMC) have been modeled in a variety of ways (Fitzpatrick & Massa 1986; Cardelli et al. 1989; Pei 1992). These extinction laws vary significantly, largely due to the presence and relative strength of the 2175 Å extinction feature which is believed to be mainly due to absorption by graphite grains (Stecher & Donn 1965b; Draine 2003). Extinction curves are typically obtained by comparing pairs of stars, however, outside the Local Group of galaxies, the method of estimating extinction curves from stellar atmosphere models is not applicable because individual stars are difficult or impossible to observe.

Long duration gamma-ray bursts (GRBs) are signposts of star formation due to their association with the deaths of short-lived, massive stars (e.g., Woosley 1993; Galama et al. 1998a; Hjorth et al. 2003; Stanek et al. 2003; Della Valle et al. 2003; Malesani et al. 2004; Campana et al. 2006; Starling et al. 2011). GRBs are excellent probes to study extinction curves in distant galaxies due to their intrinsic brightness, simple spectra and their occurrence in dense, star forming environments. GRB afterglows typically have intrinsically featureless piecewise power-law spectra from the X-ray to the optical/NIR and radio wavelengths. Theoretically, the most prominent explanation of GRB afterglows is the fireball model (e.g. Rees & Mészáros 1992; Mészáros & Rees 1997; Galama et al. 1998b; Sari et al. 1998; Piran 1999; Granot & Sari 2002; Zhang et al. 2006) which provides some notable successes in explaining the observations. According to the fireball model the GRB afterglow originates from synchrotron radiation produced by the interaction between the ultra-relativistic jet and the surrounding interstellar medium (ISM). Cooling of electrons produces a break in the synchrotron spectrum, which can sometimes be located between the X-ray and optical/NIR. The cooling frequency will lead to a well-defined change in spectral slope of Δβ = β2 − β1 = 0.5 resulting in a softer spectrum on the high energy side. Therefore, the X-ray-optical SED is expected to be a single or broken power-law. The simple spectral shape of GRBs and the lack of absorption above  ~ 3 keV allow us to place constraints not only on the reddening due to dust, but on the absolute extinction and thereby obtain absolute extinction curves for sources over a wide range of redshifts (z = 0.0086 − 8.2).

In the era of the Swift satellite (Gehrels et al. 2004) and fast responding ground-based telescopes, better-sampled GRB afterglow lightcurves and SEDs enable us to get more complete extinction curves and even samples of extinction curves. To date, SMC-type extinction (i.e. without a 2175 Å bump), has provided the best representation of GRB afterglow extinction (Bloom et al. 1998; Jensen et al. 2001; Fynbo et al. 2001; Price et al. 2001; Savaglio & Fall 2004; Jakobsson et al. 2004b; Kann et al. 2006; Starling et al. 2007; Kann et al. 2010; Schady et al. 2010). The 2175 Å feature has been firmly detected in only two GRB afterglows so far: GRB 070802 (Elíasdóttir et al. 2009; Krühler et al. 2008) and GRB 080607 (Prochaska et al. 2009; Perley et al. 2011b). Grey/wavelength-independent extinction laws have also been claimed for a few GRB afterglows (Galama et al. 2003; Nardini et al. 2008; Perley et al. 2008). Dust with an unusual extinction curve, claimed to be due to supernova-origin dust, has been suggested in two cases, GRB 071025 (Perley et al. 2010) and GRB 050904 (Stratta et al. 2007), but ruled out for the latter case with revised multi-epoch SED analysis (Zafar et al. 2010).

In this paper, we present the SED analysis of a sample of forty one GRB afterglows observed mainly with the Very Large Telescope (VLT). This is the largest study to date of extinction curves outside the Local Group of galaxies. It is also unique as the first spectroscopic sample of absolute extinction curves (cf. Kann et al. 2006; Starling et al. 2007; Schady et al. 2007b, 2010; Kann et al. 2010; Krühler et al. 2011; Gallerani et al. 2010). Our main objectives are: i) to examine the extinction curves of star-forming galaxies at all redshifts; ii) to understand the properties of the dust and their relationship to the gas and metals in these galaxies; iii) to infer information about the typical spectral shapes of GRB afterglows.

To the best of our knowledge, this paper presents the first set of absolute extinction curves based on spectroscopy. Using spectroscopy in addition to photometry has significant benefits in such an analysis: i) the actual shape of the continuum and of the extinction curve can be determined, including the width, strength and central wavelength of the 2175 Å bump where it is present; ii) the effects of gas absorption on the spectrum can be removed, including Lyα at z ≳ 2 and the Lyα forest at higher redshifts; iii) precise redshifts can be obtained from the spectrum; iv) the potential influence of intervening absorbers can be determined.

In Sect. 2 we describe the X-ray, UV/optical and NIR data reduction. In Sect. 3 we describe the different models used to fit the data. The results of our modeling are presented in Sect. 4. A discussion on the implications of our results is given in Sect. 5, and our conclusions are summarized in Sect. 6. A cosmology where H0 = 72 km s-1 Mpc-1, ΩΛ = 0.73 and Ωm = 0.27 (Spergel et al. 2003) is assumed. Throughout spectral indices are denoted by β where β1 is the low energy (typically the optical/NIR) slope and β2 is the high energy (typically X-ray) slope. The temporal indices are denoted by α: Fν(ν,t) ∝ t − αν − β. All errors are 1σ unless otherwise specified. For the cases where there is no detection, 2σ upper limits are reported.

2. Multi-wavelength observations and data reduction

2.1. Ensemble selection criteria

The sample consists of the flux-calibrated spectra from Fynbo et al. (2009, hereafter F09) taken with the Focal Reducer and low dispersion Spectrographs (FORS1 and FORS2) on the VLT with photometric observations in at least R or I-bands. Forty one GRB afterglows fulfilled our selection criteria (see Table 1). The spectra were obtained through target-of-opportunity (ToO) programs.

Table 1

Basic data on the flux calibrated spectroscopic sample.

2.2. Optical spectroscopy

With the aim of constructing composite SEDs, we collected flux calibrated spectroscopic data for each GRB afterglow listed in Table 1 (see also F09). The sample includes GRB afterglows from April 2005 to September 2008. The longslit spectra were obtained with either the FORS1 or FORS2 spectrographs (Appenzeller et al. 1998) using the 300V grism for all bursts except for GRB 080319B (600B) and GRB 080913 (600z). This yields a spectral resolution of R = λλ = 440, 780 and 1390 in the 300V, 600B and 600z grisms, respectively, with a slit of 1″. Further details of the optical spectroscopy are available in F09. The data were reduced using standard tasks in IRAF and corrected for cosmic rays using the method developed by van Dokkum (2001). All the spectra were flux calibrated using spectrophotometric standard stars observed on the same night of the afterglow spectra. All FORS1/2 spectra from F09 are used except GRB 060526, GRB 060719, GRB 060807, GRB 070411, GRB 070508, GRB 070306, GRB 080411, GRB 080413B and GRB 080523. There were no suitable standard star spectra obtained near the time of observations of GRB 060526, GRB 080411 and GRB 080413B. The spectra of GRB 060719, GRB 070411, GRB 070508 and GRB 080523 have extremely low S/N ratios. GRB 060807 has no redshift estimation. The spectrum of GRB 070306 was dominated by the host galaxy. The spectrum of GRB 080607 was obtained with Keck using the Low Resolution Imaging Spectrometer (LRIS; Oke et al. 1995) and is therefore formally outside our sample. We include it here as a comparison object, since it is one of only two known GRB afterglows with a confirmed 2175 Å bump in the host galaxy prior to this sample. We used photometry from acquisition camera imaging, mostly performed using the R filter, to set the absolute flux level of the spectra. The time of the acquisition camera image was then used as the mean time of the SED. The magnitudes of the afterglows are obtained using ESO zero-points from the night of the observation.

To avoid contamination from absorption caused by the Lyα forest, data (both spectroscopic and photometric) with restframe wavelength λ < 1216 Å were excluded from the SED fitting. Furthermore, emission and absorption lines arising from different metal species and atmospheric molecular absorption lines were removed from the optical spectra.

2.3. Photometry

The 30 cm Ultraviolet Optical Telescope (UVOT) onboard Swift, has six UV/optical filters: v, b, u, uvw1, uvm2 and uvw2 (Roming et al. 2005). The data are made available at the UK Swift Science Data Centre. The UVOT filter lightcurves were extracted using the UVOT imaging data tool UVOTMAGHIST. The fluxes in each band were obtained by using the standard UVOT photometric calibration techniques defined by Poole et al. (2008). For the ground-based optical and NIR data, lightcurves for each filter were constructed using data either from refereed publications or from GRB Coordinates Network (GCN) circulars. For ease of access to the data published in GCN circulars for each GRB, the information was obtained via the GRBlog1 database (Quimby et al. 2004). To generate SEDs at instantaneous epochs, the magnitudes in the relevant filters were obtained by interpolating or extrapolating the lightcurves to the time of interest. For this purpose, usually the R-band lightcurve decay index is used for extrapolation and interpolation in other bands since it is typically the most complete.

The optical spectra and optical/NIR photometry have been corrected for Galactic dust extinction using the Schlegel et al. (1998) dust extinction maps. The E(B − V) values along the line of sight for each burst are given in Table  1 and were retrieved from the NASA Extragalactic database (NED2) web-calculator. Several works have attempted to verify the Schlegel et al. (1998) results (e.g. Dutra et al. 2003; Schlafly et al. 2010), finding overall a good agreement at low values of AV. Some uncertainty is still present, e.g. recently Schlafly et al. (2010) suggested that these values might be systematically overestimated by  ~ 14% on the average. For our analysis we corrected the Galactic E(B − V) values of Schlegel et al. (1998) for the 14% overestimation (see Table 1). However, extinction at high redshift has a much greater effect for a given dust column on the observed spectrum since we are observing dust effects in the restframe UV of the GRB host. For example, for a GRB host at z = 2 with SMC extinction, the effective observer frame AR is  ~ 4 times larger than the equivalent Galactic AR. Discrepancies between the Schlafly et al. (2010) and Schlegel et al. (1998) values in the Galactic extinction are therefore small compared to the typical uncertainty on the measured restframe absorption and extinction values.

2.4. X-ray data

The GRB afterglows present in our sample have been all detected by Swift. The X-Ray Telescope (XRT; Burrows et al. 2005) onboard Swift performed the X-ray observations in each case and the X-ray data for each GRB have been obtained from the UK Swift science data center3. The X-ray spectrum for each GRB afterglow was reduced in the 0.3–10.0 keV energy range using the HEAsoft software (version 6.10). For each afterglow, the X-ray lightcurves were produced from the XRT data (Evans et al. 2007, 2009). To get a better estimate of the X-ray flux, we fitted a decay model (Beuermann et al. 1999) to the X-ray lightcurves. For X-ray spectral analysis we used photon counting (PC) mode data and source counts were extracted within a circular region centered on the source, and background counts from a circular region  ~ 10 times greater than the source region. We used XSELECT (v2.4) to extract spectral files from the event data in the 0.3–10 keV energy band. To avoid pile-up all X-ray spectra were taken from time intervals where the measured count rate is less than 0.6 counts s-1. The X-ray spectral files were grouped to 12–20 counts per energy channel. Effective area files for each spectrum were created using the FTOOLS XRTMKARF recipe and bad columns were corrected by using the exposure maps. Response matrices (v11) from the Swift XRT calibration files were used. The X-ray spectra were obtained over an interval as close as possible to the mid-time of the optical spectra. The flux of the final X-ray spectrum was corrected to the SED time by taking the ratio of the X-ray lightcurve model fits at the photon weighted mean time (PWMT) of the X-ray spectrum and the SED time. The spectra were fitted within XSPEC (v12.6.0; Arnaud 1996) with a Galactic-absorbed power-law, with absorption from the Galactic neutral hydrogen column density taken from Kalberla et al. (2005, using the nH FTOOL), and additional absorption from the GRB host galaxy. The Galactic column density value used for each GRB is given in Table 5. The equivalent neutral hydrogen column density from the host galaxy of each GRB was estimated from the soft X-ray absorption and is denoted here as NH,X. NH,X is modeled with XSPEC where solar abundances were assumed from Asplund et al. (2006). NH,X, presented in units of equivalent hydrogen column density for a solar abundance of the elements, is essentially a direct measure of the metal column density.

Table 2

Results of fits to the SEDs.

3. Data analysis

We describe the afterglow continuum emission with single or broken power-law models. For each burst, we tried both laws to fit the observed data, where the spectral break must be in the observing window (1014 Hz    ≲ νbreak ≲ 1018 Hz). On top of the power-law fits, we added empirical extinction laws corresponding to the SMC (Pei 1992), MW (Fitzpatrick & Massa 1986; Cardelli et al. 1989), or LMC (Pei 1992) (see Sect. 3.1 for details), in order to account for the effect to dust in the GRB local environment. The X-ray to optical/NIR GRB afterglow SEDs were generated at specific epochs (the time of the acquisition image of the spectrum), and modeled in IDL. To get errors on each parameter we used 1000 Monte Carlo (MC) realizations of the data, with the mean value of each datapoint set to the observed value and a Gaussian distribution with a width corresponding to the 1σ measured error on that datapoint. For each simulated set we fitted the function and estimated the best fit parameters. The error for each parameter was calculated using the standard deviation of this distribution. To determine whether the use of a broken power-law was required over a single power-law, we used an F-test probability  < 5% as the threshold. The results from the spectral analysis of our spectroscopic GRB sample are provided in Table 2. The number of degrees of freedom in Table 2 is calculated by taking the number of pixels in the optical spectra. Most of the spectra are taken with FORS1/2 grism 300V yielding four pixels per resolution element.

3.1. Dust models

The dust extinction was modeled with empirical extinction laws (Fitzpatrick & Massa 1986; Cardelli et al. 1989; Pei 1992) to determine the absolute extinction and the characteristics of the extinction. From the Pei (1992) extinction laws we used only the SMC extinction law. Hereafter, we will refer to these three extinction models as FM (Fitzpatrick & Massa 1986), CCM (Cardelli et al. 1989) and SMC (Pei 1992). The important characteristic of the SMC law used here is the lack of the graphite 2175 Å bump and the even steeper rise in the far UV, rising faster than 1/λ (Prevot et al. 1984; Gordon et al. 2003). Cardelli et al. (1989) showed that Galactic sightlines could typically be well-fit with a parameterization of the extinction curve that relied only on a single parameter, the ratio of absolute to selective extinction, RV = AV/E(B − V). Comparable to CCM, FM provides greater freedom in reproducing the extinction curves. To investigate restframe visual extinction, we fit all three extinction laws for each case and found that the best fitting results and null hypothesis probabilities for SMC and FM were similar in most cases. We therefore selected the SMC as by far the simpler model and used it to characterize the extinction in 37 cases (see Table 2) where the null hypothesis probability for the fit with FM was not significantly better. The FM parameterization was used for the cases where the SMC could not provide a good fit because of the presence of the 2175 Å bump (see Table 2). The CCM curve yielded a poorer fit to the observed data in every case (see below)

The continuum emission from an afterglow is believed to be dominated by synchrotron radiation (Sari et al. 1998) described by a power-law given as (1)where F0 is the flux normalization, ν is the frequency and β is the intrinsic spectral slope. The observed flux is extinguished due to dust in the Milky Way, and in objects between our Galaxy and the GRB, the latter typically dominated by the GRB host galaxy (though see GRB 060418; Ellison et al. 2006). As explained above (Sect. 2.3), we corrected the optical/NIR data for Galactic foreground extinction maps (Schlegel et al. 1998). With knowledge of the unextinguished flux from X-rays and the redshift, the extinction corrected spectral slope and restframe AV can be obtained. Therefore the extinguished flux will be given as (2)here Aλ is the extinction in the host galaxy of the GRB as a function of wavelength λ. The wavelength dependence on dust extinction observed in SMC, LMC and MW environments is well reproduced by the standard dust models (Fitzpatrick & Massa 1986; Cardelli et al. 1989; Pei 1992). For SMC, LMC and MW the extinction law introduced by Pei (1992) is given as (3)for SED modeling we used the SMC parameterization where RV = 2.93 for the SMC extinction law (Pei 1992). The parameters ai, bi and ni are different for each extinction model (see Pei 1992 for the parameter list). A parameterization for extinction in the Milky Way was advocated by Cardelli et al. (1989). It provides a better estimation of the far UV curvature with fixed bump strength and varying RV. It is defined as (4)a(x) and b(x) are wavelength dependent polynomials controlling the UV, optical and NIR regimes of the extinction curve. Finally, we fitted the data with an FM extinction model. The parameterization for the FM extinction curve in the UV range is given as (5)where

and the Lorentzian-like Drude profile, which represents the 2175 Å bump, is given as The underlying UV linear component is specified by the intercept, c1, and the slope, c2. The  ~2175 Å absorption bump is controlled by c3 (bump strength), x0 (central wave number), and γ (the width of the bump). The parameters c4 and c5 give the far-UV curvature. The extinction properties in the NIR and optical are determined using spline interpolation points (see Fitzpatrick & Massa 2007). The FM parameterization provides greater freedom for fitting the extinction curve; in particular, it allows characterization of the curve, for example in the strength, width and position of the 2175 Å bump.

4. Results

4.1. The SED of the afterglow

GRB afterglows are well described by a coherent synchrotron emission from accelerated electrons with a power-law distribution of energies promptly behind the shock. These electrons then cool both adiabatically and by emitting synchrotron and inverse Compton radiation. At late times, the electron population accelerated by shock mechanisms is expected to radiate in the slow cooling regime (see Sari et al. 1998). The GRB spectrum in that regime is defined by a broken power-law model. The transfer to the slow cooling regime causes a cooling break in the intrinsic spectrum, typically occurring between the X-ray and the optical/NIR wavelengths. The broken power-law model is given as (6)where β1 and β2 are the slopes of the optical and X-ray segments in our model respectively. The parameter νbreak is the cooling break frequency joining the two power-law segments. In accordance with the theory outlined by Sari et al. (1998), this additional break in the spectrum will give a spectral change of β1 = β2 − Δβ, where Δβ = 0.5. In our SED modeling we treat Δβ as a free parameter by allowing both slopes to vary independently in order to test the compatibility of the synchrotron model with our observed SED sample. From our sample, 21 SEDs have a spectral break between the X-ray and optical wavelengths. We find that 95% of the spectral breaks have a spectral change of Δβ ~ 0.5, in agreement with the synchrotron emission model. The mean Δβ of all 21 GRBs is 0.54 with a standard deviation of 0.13. This large standard deviation is dominated by a single outlier, GRB 080210, which has a Δβ = 1.1 ± 0.1. Of the 21 GRBs, GRB 080210 is the only case that deviates from Δβ = 0.5 (see De Cia et al. 2011, for a detailed analysis of the SED of GRB 080210). Considering only the remaining SEDs,  ⟨ Δβ ⟩  = 0.51 with a standard deviation of 0.02. This agreement with the prediction of Sari et al. (1998) is remarkable, and indicates that for the vast majority of SEDs taken at similar epochs, it is valid to assume that the amplitude of the spectral break is equal to exactly 0.5. In the future, for broad-band SED analysis, this should remove a degree of freedom in deriving extinction curves using GRBs, making the process more robust.

This result provides strong support that the afterglow emission is indeed synchrotron radiation, and that both the optical and X-ray emission are produced by the same mechanism in the vast majority of cases. While this is a key element of the fireball external shock model, our findings are not in complete agreement with it: we checked whether our data satisfy the closure relations between the spectral and temporal indices as defined by Sari et al. (1998). In most cases, we found that the observed temporal indices were not consistent with those expected from the fireball model, even though the specific prediction of Δβ = 0.5 does hold. This is not surprising. The synchrotron emission process is only one of the elements of the fireball model. The closure relations depend not only on the spectral shape, but also on the temporal evolution of the fireball properties (radius, Lorentz factor, magnetic field), on the assumption that the microphysics parameters εe and εB do not vary in time, and on several other details. The shape of the synchrotron spectrum, on the contrary, is not sensitive to these additional parameters, and therefore the prediction that Δβ = 0.5 is much more robust. Indeed, our analysis is not dependent on the fireball dynamics, but it just assumes (and confirms) that the optical and X-ray emission are due to synchrotron emission.

thumbnail Fig. 1

Δβ against the X-ray spectral slope. The dashed line corresponds to Δβ = 0.5. GRB 080210 is an outlier and has a softer X-ray slope compared to the rest of the sample.

4.2. Dust extinction

The restframe visual extinction, AV, is determined for the forty one afterglows in our sample, plus GRB 080607. Approximately two thirds (26/41), have low/moderate extinction values with AV ranging from 0.06 ± 0.02 to 0.65 ± 0.04, and are well-fit with SMC-type extinction. The mean visual extinction for these 26 GRB afterglows is  ⟨ AV ⟩  = 0.24 with a standard deviation of 0.14. Roughly one quarter of the sample (11/41) is consistent with no dust reddening, with a mean 2σ upper limit  ⟨ AV ⟩  < 0.10 assuming an SMC type dust extinction curve. More than 7% of the full sample (~9% of the extinguished afterglows) are found to have a well-defined bump consistent with the 2175 Å feature. Of these bursts, GRB 070802 was known before (Elíasdóttir et al. 2009; Krühler et al. 2008), while GRB 080605 and GRB 080805 are new (but see F09), doubling the number of such bumps unequivocally known in GRB host galaxies. We also include the other definite case of a bump in a GRB host extinction curve, GRB 080607, in our analysis as a comparison extinction curve. All of these cases have AV ≳ 1, and are by far the most extinguished bursts in our sample, with a mean extinction more than five times the average extinction of extinguished bursts in the sample. Finally, GRB 070318 was not well fit by the SMC curve and does not have a 2175 Å bump. Its extinction curve seems very unusual and is the subject of a separate investigation (Watson et al. in prep.). The Maiolino et al. (2004) extinction curve associated with dust from supernovae was not used, but we infer from the good fit obtained with the SMC extinction curve in all cases without a 2175 Å bump, that this extinction curve is not required to fit the data.

Table 3

Parameters of the best fit with the SMC extinction curve (RV = 2.93) of Pei (1992).

thumbnail Fig. 2

Distribution of the restframe visual extinction, AV, of our flux calibrated spectroscopic sample. The solid curve corresponds to detections; the dot-dashed curve to detections and 2σ upper limits.

Table 4

Best fit extinction curve parameters for the afterglow cases where FM is the best model (see Table. 2).

5. Discussion

5.1. The 2175 Å feature

The 2175 Å absorption feature, as mentioned above, has been robustly detected in the optical spectra of four GRB afterglows (see Table 4). The feature is a broad dip centered at 2175 Å due to excess extinction and was first discovered by Stecher (1965a). Notable characteristics are the width (~1   μm-1) and its variability (~20%), contrasted to the tight observed central wavelength of the bump (to within  ~10 Å, i.e.  < 1%). Several candidates have been considered to explain the 2175 Å bump, ranging from carbonaceous materials (Henrard et al. 1997) to iron poor silicate grains in the form of partially hydrogenated amorphous Mg2SiO4 particles (Steel & Duley 1987). The dominant hypothesis is some form of carbonaceous material in small grains ( ≲ 50 Å), with polycyclic aromatic hydrocarbons (Duley & Seahra 1998; Duley 2006; Cecchi-Pestellini et al. 2008; Duley 2009; Cecchi-Pestellini et al. 2010) and graphite being popular choices (Stecher & Donn 1965b; Mathis et al. 1977; Draine & Lee 1984; Draine 1989; Sorrell 1990; Mathis 1994; Rouleau et al. 1997; Will & Aannestad 1999; Andersen et al. 2002; Clayton et al. 2003; Fitzpatrick & Massa 2007). The absence or weakness of the bump in SMC and LMC sightlines can be explained by a difference in the relative abundances of graphite and silicate grains (Pei 1992; Prevot et al. 1984). The presence of the 2175 Å bump in GRB afterglow SEDs indicates that these GRBs occur in more evolved and massive galaxies and have dust properties similar to our local disk galaxies. Beyond our Local Group these distant GRBs can provide information on the graphite content of small grains in the surrounding circumburst environments.

It is notable that less than 9% of the GRB extinction curves show an unequivocal 2175 Å bump. This is a small fraction, consistent with the prevailing notion that strongly star-forming galaxies, and in particular GRB hosts, have featureless dust extinction curves like the SMC (e.g. Pei 1992; Calzetti et al. 1994; Schady et al. 2010; Kann et al. 2010; Krühler et al. 2011; Greiner et al. 2011). However, there are only five known extinction curves toward the SMC, and one in fact does have a 2175 Å bump (Pei 1992). Furthermore, the starburst sample of Calzetti et al. (1994) with SMC-like attenuation curves is very small, containing only six objects. Therefore we examined our sample to see in how many SEDs a bump could have been detected. We found that for 12 cases the bump region is not significantly covered by our spectra or photometry and in a few more the signal-to-noise ratio is very low. This is approximately 40–50% of the extinguished sample. It could be argued therefore, that in only about a quarter of the sample are we reasonably certain that no bump is present. Furthermore, there is very clear evidence in this sample that afterglows with a 2175 Å bump are preferentially heavily extinguished (AV ≳ 1).

It is apparent that our spectroscopic sample is heavily reliant on optically bright afterglows; the bulk of bursts in the sample have an average magnitude of 21.1 with a standard deviation of 1.7 mag. But a MW style extinction gives 2–3 mag of extinction in the BVRI bands for AV = 1 at z = 2. A restframe AV ≳ 1 would make spectroscopy unfeasible for the overwhelmingly majority of these bursts and a redshift would almost certainly not have been found for any except the brightest few (apart from emission lines from the host galaxy). It is obvious that we are heavily biased against these high extinction sightlines. F09 report a dark burst fraction of 25–42% for that sample. If most of those dark bursts are similar to the most heavily extinguished bursts in our sample, many, if not all, may have a 2175 Å bump in their extinction curves. Our conclusion is that the apparent prevalence of the SMC extinction curve in GRB hosts is very likely an artifact of the bias in favour of low extinction sightlines and the frequent lack of good coverage of the bump region. We can only say that the bump is not present in about a quarter of our sample, and that it is present in 7%, and that we know there is a clear preference for the bump to be detected in the most extinguished sightlines. Currently it is therefore not possible to say whether a featureless extinction curve or one with a bump is more common in GRB host galaxies. But it seems likely that the 2175 Å bump is far more prevalent than previously believed.

thumbnail Fig. 3

AV against spectroscopically measured H   i column density in log-log space. NH   i values are obtained from the literature and given in Table 5. The dashed line corresponds to the NH   i/AV ratio for the SMC environment given by Weingartner & Draine (2001).

5.2. Constraints on RV

We attempted to constrain RV specifically for the extinction curves that were well fit with SMC-type extinction. We fitted the data again with the FM model, this time fixing the FM parameters to the SMC average extinction curve values given in Gordon et al. (2003) and fixing Δβ to 0.5 for the 20 relevant spectral break cases (see Sect. 4.1), but allowing RV to vary freely. In most cases RV is degenerate with AV, so that we cannot constrain RV in any useful sense. For GRB 071020 and 080928 we can constrain RV to and respectively (1σ errors for two parameters of interest). From these cases, we can determine that it is the strong constraint on the absolute optical flux level that allows the constraint on RV. In the former case it is because the spectral break is very close to the optical, and in the latter because the X-ray and optical fluxes are so similar. In both cases the extinction is relatively high – AV = 0.43 ± 0.04 and 0.29 ± 0.03 respectively – and the X-ray spectrum fairly well-defined. To fix RV in future observations will require that the unextinguished power-law is well-constrained, either through infrared spectroscopy or better X-ray observations. The ideal way to do this is to use mid-infrared data in concert with good X-ray data. To date this has been published for only one GRB afterglow using observations with Spitzer (Heng et al. 2008), albeit with a low S/N result. While more mid-infrared observations are now unlikely, and better X-ray observations will not be routinely available in the foreseeable future, near-infrared spectra are now regularly obtained with the X-shooter spectrograph on the VLT and may allow us to obtain reasonably well-constrained RV values for GRB extinction sightlines in the next few years.

5.3. Gas-to-dust ratios

The H   i column densities for these lines of sight have been measured from the 1216 Å Lyα absorption line in F09. The ratio of NH   i to AV gives, in principle, an estimate of the gas-to-dust ratio in the host galaxy of the GRB (Fig. 3). However, the potential ionizing and destructive effect of the GRB and its afterglow may substantially complicate this picture. The vast majority of data points lie at values greater than the SMC gas-to-dust ratio – the dashed line in Fig. 3 corresponds to the gas-to-dust ratio of the SMC environment with a value of NH   i/AV = 1.6 × 1022 cm-2 mag-1 (Weingartner & Draine 2001). The only clear outlier is GRB 071021, with a very small neutral hydrogen column density quoted in F09. However, the burst is at z = 2.1, and the spectrum is cut off in the blue. On close re-inspection of the 2D spectrum, it seems unlikely that such a strong limit can indeed be placed on the Lyα line in the afterglow of this burst. Indeed, it seems possible that this burst could have a large enough neutral column density in hydrogen to make it perfectly consistent with the SMC value. Therefore, the only burst in our sample that securely yields a gas-to-dust ratio lower than the SMC is GRB 070802, with a gas-to-dust ratio consistent with Galactic sightline values. As pointed out by Elíasdóttir et al. (2009), this afterglow sightline is highly unusual among GRBs in this regard, a fact strengthened by our results. However, it is clearly not a property of all sightlines with the 2175 Å bump, since GRB 080607 has a gas-to-dust ratio a factor of ten higher. Due to the low redshift, we do not have H   i column density measurements for GRB 080605 and GRB 080805. The overall distribution suggests that gas-to-dust ratios in GRB environments are typically SMC-like or higher. An obvious idea is that metallicities that are SMC-like or lower are responsible for the high gas-to-dust ratios. However two arguments point against such a conclusion: first, the metals-to-dust ratio, where the metal column density is derived from soft X-ray absorption is typically an order of magnitude or more above the values from the Local Group (see below and Watson et al. 2007; Schady et al. 2010); second, when we correct the H   i column for the metallicity in Fig. 4, we show that, even corrected for metallicity, most GRB sightlines have a super-Local-Group gas-to-dust ratio.

Table 5

Spectroscopic GRB sample.

thumbnail Fig. 4

Visual extinction against UV metal abundances in solar units. The metallicities obtained from the literature based on Zn element are marked with red stars. The rest of the data points are based on Si element metallicities (see Table 6). GRB 080607 is indicated with a red square. The metallicity or AV upper limits are represented by small circles or stars. The dashed line indicates metals-to-dust relation for the Local Group (indicated as LG).

In Fig. 4 we check if metallicity effects alone could be responsible for the high gas-to-dust ratios without reference to the X-ray absorption. We derived a metal column density in solar units using log (NH   i/cm-2) +  [M/H] (equivalent to NH,X). These are metal column densities in the gas phase, derived from low ionization species, based on Zn and Si. The issue of depletion of the elements into dust grains is important. Zn and S are non-refractory elements and are the best tracers of the metallicity. We have used Zn metallicities wherever possible, however in many cases we have used Si to measure metallicity. Si is affected by depletion of the metal out of the gas phase, but less than strongly refractory elements like Fe and Cr (e.g., Ledoux et al. 2002; Draine 2003; Fynbo et al. 2011). The  [M/H] values are given in Table 6 and the NH   i values for the corresponding GRBs are taken from Table 5. In Fig. 4 we see that the low ionization metals-to-dust ratios are closer to the Local Group value than the gas-to-dust ratios, but are still typically higher. Conclusions on the gas-to-dust ratio of the host galaxies of GRBs are inevitably complicated by the fact that we know a majority of the gas along the line of sight to a GRB is ionized close to the burst (Watson et al. 2007; Schady et al. 2010; Prochaska et al. 2007; Vreeswijk et al. 2007; Ledoux et al. 2009), and it is suspected that any dust near the GRB will be either sublimated or cracked by the GRB (e.g. Fruchter et al. 2001; Perna & Lazzati 2002). The X-ray absorption, by contrast, is far less affected by photo-ionization, and so GRBs show much larger metals-to-dust ratios (Fig. 5). The most probable interpretation is that the column has been strongly affected by the GRB/afterglow, and the ionization distance and the dust sublimation distance are different. Therefore the metals-to-dust and gas-to-dust ratios derived from the optical/UV are not representative of the intrinsic ratios for the GRB host, but instead are due to the interaction of the distribution of the gas and dust along the column and the luminosity and spectrum of the GRB and its afterglow. Thus, the SMC-like and higher gas-to-dust ratios found in GRB afterglows, even after accounting for metallicity, seem to be due to the competing effects of gas ionization and dust destruction. The ratios found are closer to the values in the Local Group than are the metals-to-dust ratios derived from X-rays. An obvious explanation for this is that since we know that hydrogen ionization certainly occurs in the surroundings of the GRB, the H   i column densities are simply lower limits to the actual gas column. So far we have no unequivocal evidence for dust destruction in GRB surroundings, but it seems probable that it occurs; what we can at least say from these results is that hydrogen ionization in the GRB surroundings is a more efficient process than dust-destruction, drawing the gas values closer to the Local Group ratio.

thumbnail Fig. 5

AV measurements versus NH,X for the spectroscopic GRB sample determined from X-ray spectral analysis and SED fitting. The dotted curve represents the metals-to-dust ratio for the Local Group environments (indicated as LG) assuming solar abundances.

5.4. Metals-to-dust ratios

Metal column densities (NH,X) from soft X-ray absorption in excess of the Galactic absorption (e.g. Galama & Wijers 2001; Watson et al. 2002; Stratta et al. 2004; Starling et al. 2005, 2007; Gendre et al. 2006; Butler & Kocevski 2007b; Watson et al. 2007; Schady et al. 2010; Campana et al. 2010; Evans et al. 2007) have been detected in most GRB afterglows; a rather surprising fact, since the absorption becomes harder to detect with increasing redshift. The effective X-ray absorption is dominated by various species, mostly oxygen and silicon K-shell absorption and including helium and iron L-shell (Morrison & McCammon 1983). At higher redshifts (i.e. z > 2.5) the soft X-ray absorption becomes increasingly dominated by the heavier elements such as iron, silicon and sulphur (Kallman et al. 2003; Gou et al. 2005; Butler 2007a; Hurkett et al. 2008). It is important to note that the X-ray column densities are typically reported in units of equivalent hydrogen column density assuming solar abundances. The upper limits and measured NH,X values of our spectroscopic GRB sample are given in Table 5. Significant excess X-ray absorption was detected for 21 GRBs in our sample. The X-ray column densities are effectively metal column densities in both gas and dust, and would have to be corrected by the metallicity to obtain the gas column density. However, this is not enough. Due to a lack of information on the precise ionization state and structure of the gas, the absorption is invariably fit with a neutral gas model. We are well aware that the gas surrounding the GRB that causes the majority of the absorption is highly ionized (Watson et al. 2007; Schady et al. 2011; Prochaska et al. 2007). The metal column densities derived from the fits using neutral models are therefore strictly lower limits to the actual metal column densities. How close they are to the real value of the total column density depends strongly on the ionization state of the gas. It is reasonable to assume we are not underestimating the column densities by a factor of more than ten, since in the cases with the highest column densities, Compton scattering effects would become significant (Watson & Laursen 2011; Campana et al. 2011), and we would not detect some bursts in X-rays.

In Fig. 5 we plot the dust extinction and soft X-ray-derived metal column densities for the sample. It is immediately apparent that all of the dust extinctions lie far below the expectation for the Local Group metals-to-dust ratios. For the Galaxy, NH,X/AV has been measured for many sightlines and using different techniques (e.g. Güver & Özel 2009; Predehl & Schmitt 1995; Gorenstein 1975). For the LMC and SMC, the gas-to-dust ratio (NH   i/AV) can be converted to the same units (NH,X/AV) by correcting for the metallicity. The NH   i/AV relation for the MW varies in the range (1.7 − 2.2) × 1021 cm-2 mag-1. Correcting for metallicities, the LMC (Fitzpatrick 1985) and SMC (Weingartner & Draine 2001) values are consistent with this range (see for a review Draine 2003). Therefore, we use a canonical value of NH,X/AV ≈ 0.2 × 1022 cm-2 mag-1 for the metals-to-dust ratio of the Local Group of galaxies for comparison to our sample. Dai & Kochanek (2009) showed that in lensing galaxies, the metals-to-dust ratio is also consistent with values in the Local Group. Together, those results hint that there may be an almost universal metals-to-dust ratio, at least in galaxies that are somewhat evolved.

In apparent contrast to this, our sample shows a spread of metals-to-dust ratios that covers a range from approximately three to thirty times the Local Group value (Fig. 6). The fact that none of our objects have a metals-to-dust ratio below the Local Group value suggests that the Local Group ratio may at least be a minimum. Indeed, our result here, which confirm much previous work (e.g., Galama & Wijers 2001; Schady et al. 2010, 2011; Stratta et al. 2007), may be consistent with a universal metals-to-dust ratio if dust destruction by the GRB and afterglow is responsible for the lack of dust that leads to these large metals-to-dust ratios. Under this hypothesis, the GRB would have to destroy the equivalent of between 1 and 10 mag of extinction (AV) of dust within a few pc of the burst (Watson et al. 2007), which seems feasible (Fruchter et al. 2001; Waxman & Draine 2000; Perna et al. 2003). As pointed out by Fruchter et al. (2001), Waxman & Draine (2000), and Perna et al. (2003), observations within the first few seconds of a burst should, for most GRBs, show a colour change related to the destruction of the dust. Based on these data and the assumption of a universal metal-to-dust ratio, such a colour change would be very large; however, given that we rely on bright restframe UV emission for detection, and it is precisely the bright UV emission that is primarily responsible for the dust destruction, it seems unlikely that we will be able to detect such a colour change before it is complete.

thumbnail Fig. 6

Metals-to-dust ratio (NH,X/AV) distribution of our spectroscopic GRB sample in Galactic units. The solid line show the cases where both NH,X and AV are significantly measured. The upper and lower limits to the metals-to-dust ratios are shown by the dotted histogram and the limits in each bin are marked by left or right arrows.

It is worth noting here again that neither ionization nor metallicity can resolve the dust-poor nature of these absorptions. In the former case we know the gas must already be highly ionized; the dust would not survive in such an environment. As to the latter, we are directly observing the metal absorption, changes to the overall metallicity therefore have no effect on this ratio.

It is worth noting in this discussion that because our sample is almost certainly biased towards low extinction sightlines due to the requirement to have an optical spectrum, we may be preferentially selecting those sightlines with the highest gas-to-dust and metals-to-dust ratios without needing to invoke dust destruction. It is possible that we might simply be missing many extinguished GRB afterglows with low metals-to-dust and gas-to-dust ratios. However, in this scenario, one would have to accept that sightlines in a significant number of GRB hosts exist with metals-to-dust ratios tens of times higher than in the Local Group. Such higher metals-to-dust ratios are also found in AGN (e.g., Maiolino et al. 2001; Willott et al. 2004) using similar techniques to those used here. In those cases, however, most of the high X-ray absorbing column is attributed to the AGN and is assumed to be essentially dust-free. Sightlines throughout the Local Group from the SMC to the Milky Way, on the other hand, have metals-to-dust ratios that do not seem to vary by more than some tens of percent.

We examined the possibility of a relationship between the metals-to-dust ratio and the line-of-sight extinction (Fig. 7). While it might be anticipated that GRB hosts that possessed high extinction sightlines might be dust-enriched and have low metals-to-dust ratios, we see no clear correlation here either. Even the highly extinguished events with a 2175 Å bump have metals-to-dust ratios similar to the rest of the sample.

We briefly compared the metals-to-dust ratios of our spectroscopic sample with the burst redshift. We see no obvious trend of the ratio with redshift except what might be expected from the detectability limits of the X-ray absorption increasing with redshift and while the limit for AV essentially decreases with redshift.

thumbnail Fig. 7

Restframe AV and metals-to-dust ratio (NH,X/AV) for our GRB sample. The filled circles are for the cases where NH,X and AV are  ≥ 2σ significant. The open circles represent upper limits either obtained for NH,X or AV. The filled square corresponds to GRB 080607 observed with the Keck telescope.

5.5. The effect of metallicity

Metallicities measured in GRBs vary from less than 1/100 to nearly solar values, and are usually higher than the values found in QSO-DLA sightlines (see Fynbo et al. 2006c; Prochaska et al. 2007; Fynbo et al. 2008c; Ledoux et al. 2009). This trend supports the idea that GRBs occur in low mass or dwarf galaxies, representing the largest fraction of galaxies in the local Universe with large star formation rates. This favours the currently accepted scenario of long duration GRBs, the collapse of massive, rotating Wolf-Rayet star (Woosley 1993; MacFadyen & Woosley 1999). The metallicities are obtained from Voigt-profile fitting to mildly saturated lines arising from non-refractory elements using mid/high resolution spectroscopy. In our metallicity sub-sample we obtained metallicities for the GRBs from the literature (see Table 6). The metallicities based on Zn are given for GRB 050401, GRB 070802, GRB 071031 and GRB 080210. In addition, we derived Si column densities, and hence, metallicities, for GRB 060707, GRB 060714, GRB 070110, using the optically thin limit approximation (e.g. Petitjean 1998) with oscillator strengths from Morton (1991). For these three bursts we used the equivalent width of the weak and hence likely only mildly saturated Si ii (1808 Å) line to estimate the Si ii column density. For a few more GRBs there is no detection of Si ii (1808 Å) whereas Si ii (1526 Å) is well-detected (see F09). We inferred metallicities for eight GRB hosts using the restframe equivalent widths of Si ii (1526 Å). The equivalent widths for all these GRBs are obtained from F09. The metallicities are derived in these cases using the metallicity-EW1526 Å correlation for QSO-DLAs (Prochaska et al. 2008, Eq. (1)). Other independent QSO-DLA studies also confirm this tight trend between EW1526 Å and  [M/H] (Kaplan et al. 2010); GRB-DLAs also exhibit the same trend (Prochaska et al. 2008). For GRB 080607 the absorption line features are highly saturated, therefore only lower limits are obtained (Prochaska et al. 2009). The metallicity for this burst could be solar or even super solar. The reported metallicity here is a lower limit based on Zn. No metallicity measurements are available for 60% of our sample, mainly due to a lack of high- or medium-resolution spectroscopy or a redshift  ≲ 2, placing the Lyα line outside the observed wavelength range.

In Fig. 8 we plot metallicities for our GRB sub-sample versus the visual dust extinction, AV. Figure 8 shows that there may be a slight trend between the metallicity and dust extinction. We see somewhat higher dust with increasing metallicity, suggesting that more metal rich systems may be more dusty. However we do not claim this correlation here with any confidence.

Table 6

GRB sub-sample metallicity measurements taken either from the literature or based on the Si ii lines strength.

Schady et al. (2010) also found high X-ray-derived metals-to-dust ratios and proposed that these ratios could be related to the metallicity of the GRB environment. They suggested that there might be an anti-correlation between the cold, gas-phase metallicity and the metals-to-dust ratios; i.e. metal poor galaxies forming dust less efficiently from their metals than the metal rich ones. Figure 10 shows the relation using the data in our sample. We see no obvious trend between the metals-to-dust ratios and the gas-phase metallicities and cannot confirm the relation. For the Spitzer Infrared Nearby Galaxies Survey (SINGS) sample Draine et al. (2007) found that the gas-to-dust ratio was anti-correlated with metallicity. The anti-correlation was also found for dwarf galaxies (Lisenfeld & Ferrara 1998). Such a correlation would not be terribly surprising since the dust is composed of metals. In Fig. 9 we plot the gas-to-dust ratios of our GRB sub-sample versus metallicity. There is an anti-correlation between the two values; a Spearman rank test for a random origin for such an anti-correlation yields a  <1% probability. So, while there is some evidence of an anti-correlation between the gas-to-dust ratio and metallicity in GRB host galaxy sightlines, we find no evidence for a relationship between the metals-to-dust ratio and the metallicity. GRB environments have consistently higher metals-to-dust ratios than the Local Group but at the same time their metallicities cover the range as observed in the Local Group with a large scatter. Figure 10 in fact shows the large gap between the Local Group and GRB hosts in metals-to-dust ratios.

For most of the GRB afterglows we used Si based metallicity. In any case, the possible depletion of Si does not affect our conclusions above, since if the Si metallicities are affected by dust depletion, they will be underestimated. Specifically, high metals-to-dust ratios would therefore be higher if corrected for dust depletion (Fig. 4), depletion is likely to be higher in systems with lower gas-to-dust ratios, thus making the correlation in Fig. 9 potentially stronger, and correcting for possible depletion in Fig. 10 is only likely to make the lack of correlation between metals-to-dust ratio and metallicity even clearer.

thumbnail Fig. 8

Restframe AV measurements versus GRB metallicity. The metallicities obtained from the literature based on Zn are marked with red stars. The remaining data points are based on Si element metallicities (see Table 6). GRB 080607 is shown as an open square. The small circles or stars represent metallicity or AV upper limits.

thumbnail Fig. 9

Gas-to-dust ratio versus metallicity for GRB sub-sample. The metallicities obtained from the literature based on Zn are marked with red stars. The remaining data points are based on Si (see Table 6). GRB 080607 is indicated with a red square. The small circles and stars denote metallicity or gas-to-dust ratio upper limits. MW, LMC and SMC environments are denoted with blue diamonds from right to left.

thumbnail Fig. 10

Metals-to-dust ratio versus metallicity for the GRB sub-sample. The metallicities based on Zn are marked with red stars. The black circles represent Si-derived metallicity (see Table 6). GRB 080607 is marked by a red square. The small circles and stars illustrate metallicity or metals-to-dust ratio upper limits. MW, LMC and SMC environments are denoted with diamonds from right to left. The blue triangles correspond to four data points taken from Schady et al. (2010). The blue dashed line represents the best fit to the three Local Group environments and the four GRBs from Schady et al. (2010). The blue triangle with dotted error bars is GRB 050730 which is also included in both Schady et al. (2010) and our sample.

6. Conclusions

In this work we have presented the results of our analysis of 41 GRB afterglows from the X-ray to the NIR. This is not only the first spectroscopic study of absolute extinction curves in distant galaxies, but also the largest extinction sample outside the Local Group. The SEDs are almost universally well-described by a power-law or broken power-law with absorption in soft X-rays and extinction in the optical/UV. Our analysis shows that a break occurs between optical and X-ray in about half of all SEDs at times typically between a few hours and a day after the burst. The mean spectral change excluding one outlier, is Δβ = β2 − β1 = 0.51, with a very small scatter (0.02), suggesting that in future afterglow SED analyses, the spectral change can typically be fixed to 0.5.

63% (26/41) of the bursts in the sample are well-fit with an SMC extinction curve, with 27% (11/41) of the afterglows found to have no significant extinction. Of the remaining 4, 3 have a 2175 Å bump and one has a very unusual extinction curve. The bump cases comprise 7% of our spectroscopic sample. Most bursts of our sample have moderate or low extinction, with AV < 0.65. However cases with a 2175 Å bump all have AV > 1.0. The predominance of the bump in the extinction curves of high-extinction sightlines allows us to claim that since our sample is heavily biased against high extinction sightlines, missing between a quarter and a half of all bursts, the percentages of extinction curves listed above are not at all representative of GRB hosts as a whole. Previous conclusions suggesting that the bump is a rare feature in extragalactic sightlines are also likely to be incorrect. An important conclusion from this work is that the most extinguished systems seem to correlate with the systems with a 2175 Å bump and possibly with high metallicity. Both facts point to the most extinguished systems being the most evolved, and therefore likely more massive. This is consistent with reports on work by Perley et al. (2011a) based on Spitzer data suggesting that dark bursts are more likely to have red, dusty host galaxies. Since a very substantial fraction (~25−42%) of GRB afterglows are dark and likely extinguished (F09; Greiner et al. 2011), and all four known 2175 Å systems have restframe AV > 1, corresponding to  > 2–3 mag of extinction in the observed BVRI bands, it is premature to claim unequivocally that GRBs reside in small, sub-luminous, blue galaxies, or even that they follow star-formation.

The gas-to-dust ratios of GRBs are typically higher than the SMC. Correcting for gas-phase metallicity does not provide an explanation for these high ratios, and we find that gas-to-dust ratios from optical/UV measures are likely to be dominated by ionization and dust-destruction effects by the GRB, and not indicative of the intrinsic ratios of the GRB host galaxies. Soft X-ray-derived metals-to-dust ratios are 3–30 times the Local Group values. This is not due to ionization or metallicity effects. GRB hosts may however be consistent with a universal metals-to-dust ratio if dust destruction by the GRB is responsible for the apparent paucity of dust. We find no correlation between the metals-to-dust ratios in GRBs and the cold, gas-phase metallicity, the redshift or the extinction.


Acknowledgments

The Dark Cosmology Centre is funded by the Danish National Research Foundation. This work made use of data supplied by the UK Swift Science Data Centre at the University of Leicester. We are thankful to the GRB community for observing these remarkable events and providing well sampled data. We are thankful to Daniel A. Perley, Marco Nardini and Annalisa De Cia for their help and support. P.J. acknowledges support by a Marie Curie European Reintegration Grant within the 7th European Community Framework Program, and a Grant of Excellence from the Icelandic Research Fund.

References

  1. Andersen, A. C., Sotelo, J. A., Pustovit, V. N., & Niklasson, G. A. 2002, A&A, 386, 296 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Appenzeller, I., Fricke, K., Fürtig, W., et al. 1998, The Messenger, 94, 1 [NASA ADS] [Google Scholar]
  3. Arnaud, K. A. 1996, in Astronomical Data Analysis Software and Systems V, ed. G. H. Jacoby, & J. Barnes, ASP Conf. Ser., 101, 17 [Google Scholar]
  4. Asplund, M., Grevesse, N., & Jacques Sauval, A. 2006, Nucl. Phys. A, 777, 1 [NASA ADS] [CrossRef] [Google Scholar]
  5. Beuermann, K., Hessman, F. V., Reinsch, K., et al. 1999, A&A, 352, L26 [NASA ADS] [Google Scholar]
  6. Bloom, J. S., Frail, D. A., Kulkarni, S. R., et al. 1998, ApJ, 508, L21 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bloom, J. S., Perley, D. A., & Starr, D. L. 2007a, GRB Coordinates Network, 6953, 1 [NASA ADS] [Google Scholar]
  8. Bloom, J. S., Starr, D., & Blake, C. H. 2007b, GRB Coordinates Network, 6054, 1 [NASA ADS] [Google Scholar]
  9. Bloom, J. S., Perley, D. A., Li, W., et al. 2009, ApJ, 691, 723 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  10. Burrows, D. N., Hill, J. E., Nousek, J. A., et al. 2005, Space Sci. Rev., 120, 165 [NASA ADS] [CrossRef] [Google Scholar]
  11. Butler, N. R. 2007a, ApJ, 656, 1001 [NASA ADS] [CrossRef] [Google Scholar]
  12. Butler, N. R., & Kocevski, D. 2007b, ApJ, 663, 407 [NASA ADS] [CrossRef] [Google Scholar]
  13. Calzetti, D., Kinney, A. L., & Storchi-Bergmann, T. 1994, ApJ, 429, 582 [NASA ADS] [CrossRef] [Google Scholar]
  14. Campana, S., Mangano, V., Blustin, A. J., et al. 2006, Nature, 442, 1008 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  15. Campana, S., Thöne, C. C., de Ugarte Postigo, A., et al. 2010, MNRAS, 402, 2429 [NASA ADS] [CrossRef] [Google Scholar]
  16. Campana, S., Salvaterra, R., Tagliaferri, G., Kouveliotou, C., & Grindlay, J. 2011, MNRAS, 410, 1611 [NASA ADS] [Google Scholar]
  17. Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [NASA ADS] [CrossRef] [Google Scholar]
  18. Cecchi-Pestellini, C., Malloci, G., Mulas, G., Joblin, C., & Williams, D. A. 2008, A&A, 486, L25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Cecchi-Pestellini, C., Cacciola, A., Iatì, M. A., et al. 2010, MNRAS, 408, 535 [NASA ADS] [CrossRef] [Google Scholar]
  20. Cenko, S. B. 2006a, GRB Coordinates Network, 5125, 1 [Google Scholar]
  21. Cenko, S. B. 2006b, GRB Coordinates Network, 5531, 1 [NASA ADS] [Google Scholar]
  22. Cenko, S. B., & Baumgartner, W. H. 2006, GRB Coordinates Network, 5156, 1 [NASA ADS] [Google Scholar]
  23. Cenko, S. B., Ofek, E. O., & Fox, D. B. 2006, GRB Coordinates Network, 5529, 1 [NASA ADS] [Google Scholar]
  24. Cenko, S. B., Fox, D. B., Penprase, B. E., et al. 2008, ApJ, 677, 441 [NASA ADS] [CrossRef] [Google Scholar]
  25. Cenko, S. B., Kelemen, J., Harrison, F. A., et al. 2009, ApJ, 693, 1484 [NASA ADS] [CrossRef] [Google Scholar]
  26. Chen, H., Prochaska, J. X., Bloom, J. S., & Thompson, I. B. 2005, ApJ, 634, L25 [NASA ADS] [CrossRef] [Google Scholar]
  27. Chen, H., Prochaska, J. X., Herbert-Fort, S., Christlein, D., & Cortes, S. 2007, GRB Coordinates Network, 6217, 1 [NASA ADS] [Google Scholar]
  28. Chen, H., Perley, D. A., Wilson, C. D., et al. 2010, ApJ, 723, L218 [NASA ADS] [CrossRef] [Google Scholar]
  29. Clayton, G. C., Gordon, K. D., Salama, F., et al. 2003, ApJ, 592, 947 [NASA ADS] [CrossRef] [Google Scholar]
  30. Cobb, B. E. 2006, GRB Coordinates Network, 5323, 1 [NASA ADS] [Google Scholar]
  31. Dai, X., & Kochanek, C. S. 2009, ApJ, 692, 677 [NASA ADS] [CrossRef] [Google Scholar]
  32. De Cia, A., Jakobsson, P., Björnsson, G., et al. 2011, MNRAS, 412, 2229 [NASA ADS] [CrossRef] [Google Scholar]
  33. de Pasquale, M., & Cummings, J. 2006, GRB Coordinates Network, 5130, 1 [NASA ADS] [Google Scholar]
  34. D’Elia, V., Fiore, F., Meurs, E. J. A., et al. 2007, A&A, 467, 629 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Della Valle, M., Malesani, D., Benetti, S., et al. 2003, A&A, 406, L33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Della Valle, M., Chincarini, G., Panagia, N., et al. 2006, Nature, 444, 1050 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  37. Draine, B. T. 2003, ARA&A, 41, 241 [NASA ADS] [CrossRef] [Google Scholar]
  38. Draine, B. T., & Lee, H. M. 1984, ApJ, 285, 89 [Google Scholar]
  39. Draine, B. 1989, in Interstellar Dust, ed. L. J. Allamandola, & A. G. G. M. Tielens, IAU Symp., 135, 313 [Google Scholar]
  40. Draine, B. T., Dale, D. A., Bendo, G., et al. 2007, ApJ, 663, 866 [NASA ADS] [CrossRef] [Google Scholar]
  41. Duley, W. W. 2006, ApJ, 639, L59 [NASA ADS] [CrossRef] [Google Scholar]
  42. Duley, W. W. 2009, ApJ, 705, 446 [NASA ADS] [CrossRef] [Google Scholar]
  43. Duley, W. W., & Seahra, S. 1998, ApJ, 507, 874 [NASA ADS] [CrossRef] [Google Scholar]
  44. Dutra, C. M., Ahumada, A. V., Clariá, J. J., Bica, E., & Barbuy, B. 2003, A&A, 408, 287 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Elíasdóttir, Á., Fynbo, J. P. U., Hjorth, J., et al. 2009, ApJ, 697, 1725 [NASA ADS] [CrossRef] [Google Scholar]
  46. Ellison, S. L., Vreeswijk, P., Ledoux, C., et al. 2006, MNRAS, 372, L38 [NASA ADS] [CrossRef] [Google Scholar]
  47. Evans, P. A., Beardmore, A. P., Page, K. L., et al. 2007, A&A, 469, 379 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Evans, P. A., Beardmore, A. P., Page, K. L., et al. 2009, MNRAS, 397, 1177 [NASA ADS] [CrossRef] [Google Scholar]
  49. Fitzpatrick, E. L. 1985, ApJ, 299, 219 [NASA ADS] [CrossRef] [Google Scholar]
  50. Fitzpatrick, E. L., & Massa, D. 1986, ApJ, 307, 286 [Google Scholar]
  51. Fitzpatrick, E. L., & Massa, D. 2007, ApJ, 663, 320 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Fontana, A., & Ballester, P. 1995, The Messenger, 80, 37 [NASA ADS] [Google Scholar]
  53. Franceschini, A., Rodighiero, G., & Vaccari, M. 2008, A&A, 487, 837 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Fruchter, A., Krolik, J. H., & Rhoads, J. E. 2001, ApJ, 563, 597 [NASA ADS] [CrossRef] [Google Scholar]
  55. Fugazza, D., D’Avanzo, P., Malesani, D., et al. 2006, GRB Coordinates Network, 5513, 1 [Google Scholar]
  56. Fynbo, J. U., Gorosabel, J., Dall, T. H., et al. 2001, A&A, 373, 796 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Fynbo, J. P. U., Malesani, D., Thoene, C. C., et al. 2006a, GRB Coordinates Network, 5809, 1 [NASA ADS] [Google Scholar]
  58. Fynbo, J. P. U., Starling, R. L. C., Ledoux, C., et al. 2006b, A&A, 451, L47 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Fynbo, J. P. U., Watson, D., Thöne, C. C., et al. 2006c, Nature, 444, 1047 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  60. Fynbo, J. P. U., Thoene, C. C., Malesani, D., et al. 2007, GRB Coordinates Network, 6759, 1 [NASA ADS] [Google Scholar]
  61. Fynbo, J. P. U., Malesani, D., Hjorth, J., Sollerman, J., & Thoene, C. C. 2008a, GRB Coordinates Network, 8254, 1 [NASA ADS] [Google Scholar]
  62. Fynbo, J. P. U., Malesani, D., & Milvang-Jensen, B. 2008b, GRB Coordinates Network, 7949, 1 [NASA ADS] [Google Scholar]
  63. Fynbo, J. P. U., Prochaska, J. X., Sommer-Larsen, J., Dessauges-Zavadsky, M., & Møller, P. 2008c, ApJ, 683, 321 [NASA ADS] [CrossRef] [Google Scholar]
  64. Fynbo, J. P. U., Jakobsson, P., Prochaska, J. X., et al. 2009, ApJS, 185, 526 [NASA ADS] [CrossRef] [Google Scholar]
  65. Fynbo, J. P. U., Ledoux, C., Noterdaeme, P., et al. 2011, MNRAS, 413, 2481 [NASA ADS] [CrossRef] [Google Scholar]
  66. Gal-Yam, A., Fox, D. B., Price, P. A., et al. 2006, Nature, 444, 1053 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  67. Galama, T. J., & Wijers, R. A. M. J. 2001, ApJ, 549, L209 [NASA ADS] [CrossRef] [Google Scholar]
  68. Galama, T. J., Vreeswijk, P. M., van Paradijs, J., et al. 1998a, Nature, 395, 670 [NASA ADS] [CrossRef] [Google Scholar]
  69. Galama, T. J., Wijers, R. A. M. J., Bremer, M., et al. 1998b, ApJ, 500, L97 [NASA ADS] [CrossRef] [Google Scholar]
  70. Galama, T. J., Reichart, D., Brown, T. M., et al. 2003, ApJ, 587, 135 [NASA ADS] [CrossRef] [Google Scholar]
  71. Gallerani, S., Maiolino, R., Juarez, Y., et al. 2010, A&A, 523, A85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Gehrels, N., Chincarini, G., Giommi, P., et al. 2004, ApJ, 611, 1005 [NASA ADS] [CrossRef] [Google Scholar]
  73. Gehrels, N., Norris, J. P., Barthelmy, S. D., et al. 2006, Nature, 444, 1044 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  74. Gendre, B., Corsi, A., & Piro, L. 2006, A&A, 455, 803 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  75. Gordon, K. D., Clayton, G. C., Misselt, K. A., Landolt, A. U., & Wolff, M. J. 2003, ApJ, 594, 279 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  76. Gorenstein, P. 1975, ApJ, 198, 95 [NASA ADS] [CrossRef] [Google Scholar]
  77. Gou, L. J., Mészáros, P., & Kallman, T. R. 2005, ApJ, 624, 889 [NASA ADS] [CrossRef] [Google Scholar]
  78. Granot, J., & Sari, R. 2002, ApJ, 568, 820 [NASA ADS] [CrossRef] [Google Scholar]
  79. Greiner, J., Krühler, T., Fynbo, J. P. U., et al. 2009, ApJ, 693, 1610 [NASA ADS] [CrossRef] [Google Scholar]
  80. Greiner, J., Krühler, T., Klose, S., et al. 2011, A&A, 526, A30 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Grupe, D., Gronwall, C., Wang, X., et al. 2007, ApJ, 662, 443 [NASA ADS] [CrossRef] [Google Scholar]
  82. Güver, T., & Özel, F. 2009, MNRAS, 400, 2050 [NASA ADS] [CrossRef] [Google Scholar]
  83. Halpern, J. P., Mirabal, N., & Thorstensen, J. R. 2007, GRB Coordinates Network, 6097, 1 [NASA ADS] [Google Scholar]
  84. Hearty, F., Lamb, D. Q., McMillan, R., et al. 2006, GRB Coordinates Network, 5126, 1 [Google Scholar]
  85. Heng, K., Lazzati, D., Perna, R., et al. 2008, ApJ, 681, 1116 [NASA ADS] [CrossRef] [Google Scholar]
  86. Henrard, L., Lambin, P., & Lucas, A. A. 1997, ApJ, 487, 719 [NASA ADS] [CrossRef] [Google Scholar]
  87. Hjorth, J., Sollerman, J., Møller, P., et al. 2003, Nature, 423, 847 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  88. Hurkett, C. P., Vaughan, S., Osborne, J. P., et al. 2008, ApJ, 679, 587 [NASA ADS] [CrossRef] [Google Scholar]
  89. Jakobsson, P., Hjorth, J., Fynbo, J. P. U., et al. 2004a, ApJ, 617, L21 [NASA ADS] [CrossRef] [Google Scholar]
  90. Jakobsson, P., Hjorth, J., Fynbo, J. P. U., et al. 2004b, A&A, 427, 785 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  91. Jakobsson, P., Fynbo, J. P. U., Ledoux, C., et al. 2006a, A&A, 460, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Jakobsson, P., Fynbo, J. P. U., Tanvir, N., & Rol, E. 2006b, GRB Coordinates Network, 5716, 1 [Google Scholar]
  93. Jakobsson, P., Vreeswijk, P., Ellison, S., et al. 2006c, GRB Coordinates Network, 5319, 1 [NASA ADS] [Google Scholar]
  94. Jakobsson, P., Fynbo, J. P. U., Malesani, D., et al. 2007a, GRB Coordinates Network, 7117, 1 [NASA ADS] [Google Scholar]
  95. Jakobsson, P., Fynbo, J. P. U., Vreeswijk, P. M., Malesani, D., & Sollerman, J. 2007b, GRB Coordinates Network, 7076, 1 [Google Scholar]
  96. Jakobsson, P., Vreeswijk, P. M., Hjorth, J., et al. 2007c, GRB Coordinates Network, 6952, 1 [NASA ADS] [Google Scholar]
  97. Jakobsson, P., Fynbo, J. P. U., Vreeswijk, P. M., & de Ugarte Postigo, A. 2008a, GRB Coordinates Network, 8077, 1 [NASA ADS] [Google Scholar]
  98. Jakobsson, P., Vreeswijk, P. M., Malesani, D., et al. 2008b, GRB Coordinates Network, 7286, 1 [NASA ADS] [Google Scholar]
  99. Jakobsson, P., Vreeswijk, P. M., Xu, D., & Thoene, C. C. 2008c, GRB Coordinates Network, 7832, 1 [NASA ADS] [Google Scholar]
  100. Jaunsen, A. O., Fynbo, J. P. U., Andersen, M. I., & Vreeswijk, P. 2007a, GRB Coordinates Network, 6216, 1 [NASA ADS] [Google Scholar]
  101. Jaunsen, A. O., Malesani, D., Fynbo, J. P. U., Sollerman, J., & Vreeswijk, P. M. 2007b, GRB Coordinates Network, 6010, 1 [Google Scholar]
  102. Jensen, B. L., Fynbo, J. U., Gorosabel, J., et al. 2001, A&A, 370, 909 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  103. Kalberla, P. M. W., Burton, W. B., Hartmann, D., et al. 2005, A&A, 440, 775 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  104. Kallman, T. R., Mészáros, P., & Rees, M. J. 2003, ApJ, 593, 946 [NASA ADS] [CrossRef] [Google Scholar]
  105. Kann, D. A., Klose, S., & Zeh, A. 2006, ApJ, 641, 993 [NASA ADS] [CrossRef] [Google Scholar]
  106. Kann, D. A., Klose, S., Zhang, B., et al. 2010, ApJ, 720, 1513 [NASA ADS] [CrossRef] [Google Scholar]
  107. Kann, D. A., Klose, S., Zhang, B., et al. 2011, ApJ, 734, 96 [NASA ADS] [CrossRef] [Google Scholar]
  108. Kaplan, K. F., Prochaska, J. X., Herbert-Fort, S., Ellison, S. L., & Dessauges-Zavadsky, M. 2010, PASP, 122, 619 [NASA ADS] [CrossRef] [Google Scholar]
  109. Krühler, T., Küpcü Yoldaş, A., Greiner, J., et al. 2008, ApJ, 685, 376 [NASA ADS] [CrossRef] [Google Scholar]
  110. Krühler, T., Greiner, J., McBreen, S., et al. 2009, ApJ, 697, 758 [NASA ADS] [CrossRef] [Google Scholar]
  111. Krühler, T., Schady, P., Greiner, J., et al. 2011, A&A, 526, A153 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  112. Lagache, G., Puget, J., & Dole, H. 2005, ARA&A, 43, 727 [NASA ADS] [CrossRef] [Google Scholar]
  113. Ledoux, C., Bergeron, J., & Petitjean, P. 2002, A&A, 385, 802 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  114. Ledoux, C., Jakobsson, P., Jaunsen, A. O., et al. 2007, GRB Coordinates Network, 7023, 1 [NASA ADS] [Google Scholar]
  115. Ledoux, C., Vreeswijk, P. M., Smette, A., et al. 2009, A&A, 506, 661 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  116. Lisenfeld, U. & Ferrara, A. 1998, ApJ, 496, 145 [NASA ADS] [CrossRef] [Google Scholar]
  117. MacFadyen, A. I. & Woosley, S. E. 1999, ApJ, 524, 262 [NASA ADS] [CrossRef] [Google Scholar]
  118. Maiolino, R., Marconi, A., Salvati, M., et al. 2001, A&A, 365, 28 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  119. Maiolino, R., Schneider, R., Oliva, E., et al. 2004, Nature, 431, 533 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  120. Malesani, D., Tagliaferri, G., Chincarini, G., et al. 2004, ApJ, 609, L5 [NASA ADS] [CrossRef] [Google Scholar]
  121. Malesani, D., Jakobsson, P., Fynbo, J. P. U., Hjorth, J., & Vreeswijk, P. M. 2007, GRB Coordinates Network, 6651, 1 [NASA ADS] [Google Scholar]
  122. Mangano, V., Holland, S. T., Malesani, D., et al. 2007, A&A, 470, 105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  123. Mathis, J. S. 1994, ApJ, 422, 176 [Google Scholar]
  124. Mathis, J. S., Rumpl, W., & Nordsieck, K. H. 1977, ApJ, 217, 425 [NASA ADS] [CrossRef] [Google Scholar]
  125. Mészáros, P. & Rees, M. J. 1997, ApJ, 476, 232 [NASA ADS] [CrossRef] [Google Scholar]
  126. Milne, P. A. 2006, GRB Coordinates Network, 5127, 1 [Google Scholar]
  127. Minezaki, T., Price, P. A., Yoshii, Y., & Cowie, L. L. 2007, GRB Coordinates Network, 7135, 1 [Google Scholar]
  128. Morrison, R. & McCammon, D. 1983, ApJ, 270, 119 [NASA ADS] [CrossRef] [Google Scholar]
  129. Morton, D. C. 1991, ApJS, 77, 119 [NASA ADS] [CrossRef] [Google Scholar]
  130. Mundell, C. G., Steele, I. A., & Cummings, J. R. 2006, GRB Coordinates Network, 5118, 1 [NASA ADS] [Google Scholar]
  131. Mundell, C. G., Melandri, A., Guidorzi, C., et al. 2007, ApJ, 660, 489 [NASA ADS] [CrossRef] [Google Scholar]
  132. Nardini, M., Ghisellini, G., & Ghirlanda, G. 2008, MNRAS, 386, L87 [NASA ADS] [CrossRef] [Google Scholar]
  133. Oates, S. R., Page, M. J., Schady, P., et al. 2009, MNRAS, 395, 490 [NASA ADS] [CrossRef] [Google Scholar]
  134. Oke, J. B., Cohen, J. G., Carr, M., et al. 1995, PASP, 107, 375 [NASA ADS] [CrossRef] [Google Scholar]
  135. Pei, Y. C. 1992, ApJ, 395, 130 [NASA ADS] [CrossRef] [Google Scholar]
  136. Perley, D. A., Bloom, J. S., Butler, N. R., et al. 2008, ApJ, 672, 449 [NASA ADS] [CrossRef] [Google Scholar]
  137. Perley, D. A., Bloom, J. S., Klein, C. R., et al. 2010, MNRAS, 406, 2473 [NASA ADS] [CrossRef] [Google Scholar]
  138. Perley, D. A., Bloom, J. S., Cenko, S. B., et al. 2011a, in Am. Astron. Soc. Meeting Abstracts, 217, 108.02 [Google Scholar]
  139. Perley, D. A., Morgan, A. N., Updike, A., et al. 2011b, AJ, 141, 36 [NASA ADS] [CrossRef] [Google Scholar]
  140. Perna, R., & Lazzati, D. 2002, ApJ, 580, 261 [NASA ADS] [CrossRef] [Google Scholar]
  141. Perna, R., Lazzati, D., & Fiore, F. 2003, ApJ, 585, 775 [NASA ADS] [CrossRef] [Google Scholar]
  142. Petitjean, P. 1998 [arXiv:9810418] [Google Scholar]
  143. Piran, T. 1999, Phys. Rep., 314, 575 [Google Scholar]
  144. Piranomonte, S., Covino, S., Malesani, D., et al. 2006a, GRB Coordinates Network, 5626, 1 [NASA ADS] [Google Scholar]
  145. Piranomonte, S., D’Elia, V., Fiore, F., et al. 2006b, GRB Coordinates Network, 4520, 1 [NASA ADS] [Google Scholar]
  146. Poole, T. S., Breeveld, A. A., Page, M. J., et al. 2008, MNRAS, 383, 627 [NASA ADS] [CrossRef] [Google Scholar]
  147. Predehl, P., & Schmitt, J. H. M. M. 1995, A&A, 293, 889 [NASA ADS] [Google Scholar]
  148. Prevot, M. L., Lequeux, J., Prevot, L., Maurice, E., & Rocca-Volmerange, B. 1984, A&A, 132, 389 [NASA ADS] [Google Scholar]
  149. Price, P. A., Harrison, F. A., Galama, T. J., et al. 2001, ApJ, 549, L7 [NASA ADS] [CrossRef] [Google Scholar]
  150. Prochaska, J. X., Chen, H., Dessauges-Zavadsky, M., & Bloom, J. S. 2007, ApJ, 666, 267 [NASA ADS] [CrossRef] [Google Scholar]
  151. Prochaska, J. X., Chen, H., Wolfe, A. M., Dessauges-Zavadsky, M., & Bloom, J. S. 2008, ApJ, 672, 59 [NASA ADS] [CrossRef] [Google Scholar]
  152. Prochaska, J. X., Sheffer, Y., Perley, D. A., et al. 2009, ApJ, 691, L27 [NASA ADS] [CrossRef] [Google Scholar]
  153. Quimby, R., McMahon, E., & Murphy, J. 2004, in Gamma-Ray Bursts: 30 Years of Discovery, ed. E. Fenimore, & M. Galassi, AIP Conf. Ser., 727, 529 [Google Scholar]
  154. Racusin, J. L., Karpov, S. V., Sokolowski, M., et al. 2008, Nature, 455, 183 [Google Scholar]
  155. Rees, M. J. & Mészáros, P. 1992, MNRAS, 258, 41 [NASA ADS] [CrossRef] [Google Scholar]
  156. Roming, P. W. A., Kennedy, T. E., Mason, K. O., et al. 2005, Space Sci. Rev., 120, 95 [NASA ADS] [CrossRef] [Google Scholar]
  157. Rossi, A., Schulze, S., Klose, S., et al. 2011, A&A, 529, A142 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  158. Rouleau, F., Henning, T., & Stognienko, R. 1997, A&A, 322, 633 [NASA ADS] [Google Scholar]
  159. Ruiz-Velasco, A. E., Swan, H., Troja, E., et al. 2007, ApJ, 669, 1 [NASA ADS] [CrossRef] [Google Scholar]
  160. Sari, R., Piran, T., & Narayan, R. 1998, ApJ, 497, L17 [NASA ADS] [CrossRef] [Google Scholar]
  161. Savaglio, S., & Fall, S. M. 2004, ApJ, 614, 293 [NASA ADS] [CrossRef] [Google Scholar]
  162. Schady, P., & Moretti, A. 2006, GRB Coordinates Network, 5296, 1 [NASA ADS] [Google Scholar]
  163. Schady, P., de Pasquale, M., Page, M. J., et al. 2007a, MNRAS, 380, 1041 [NASA ADS] [CrossRef] [Google Scholar]
  164. Schady, P., Mason, K. O., Page, M. J., et al. 2007b, MNRAS, 377, 273 [NASA ADS] [CrossRef] [Google Scholar]
  165. Schady, P., Page, M. J., Oates, S. R., et al. 2010, MNRAS, 401, 2773 [NASA ADS] [CrossRef] [Google Scholar]
  166. Schady, P., Savaglio, S., Krühler, T., Greiner, J., & Rau, A. 2011, A&A, 525, A113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  167. Schlafly, E. F., Finkbeiner, D. P., Schlegel, D. J., et al. 2010, ApJ, 725, 1175 [NASA ADS] [CrossRef] [Google Scholar]
  168. Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525 [NASA ADS] [CrossRef] [Google Scholar]
  169. Sharapov, D., Djupvik, A., Pozanenko, A., & Cummings, J. 2006, GRB Coordinates Network, 5267, 1 [Google Scholar]
  170. Sheffer, Y., Prochaska, J. X., Draine, B. T., Perley, D. A., & Bloom, J. S. 2009, ApJ, 701, L63 [NASA ADS] [CrossRef] [Google Scholar]
  171. Sollerman, J., Fynbo, J. P. U., Gorosabel, J., et al. 2007, A&A, 466, 839 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  172. Sorrell, W. H. 1990, MNRAS, 243, 570 [NASA ADS] [Google Scholar]
  173. Spergel, D. N., Verde, L., Peiris, H. V., et al. 2003, ApJS, 148, 175 [NASA ADS] [CrossRef] [Google Scholar]
  174. Stanek, K. Z., Matheson, T., Garnavich, P. M., et al. 2003, ApJ, 591, L17 [NASA ADS] [CrossRef] [Google Scholar]
  175. Starling, R. L. C., Vreeswijk, P. M., Ellison, S. L., et al. 2005, A&A, 442, L21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  176. Starling, R., Thoene, C. C., Fynbo, J. P. U., Vreeswijk, P., & Hjorth, J. 2006a, GRB Coordinates Network, 5131, 1 [Google Scholar]
  177. Starling, R. L. C. L. C., D’Elia, V., Piranomonte, S., et al. 2006b, GRB Coordinates Network, 5149 [Google Scholar]
  178. Starling, R. L. C., Wijers, R. A. M. J., Wiersema, K., et al. 2007, ApJ, 661, 787 [NASA ADS] [CrossRef] [Google Scholar]
  179. Starling, R. L. C., Rol, E., van der Horst, A. J., et al. 2009, MNRAS, 400, 90 [NASA ADS] [CrossRef] [Google Scholar]
  180. Starling, R. L. C., Wiersema, K., Levan, A. J., et al. 2011, MNRAS, 411, 2792 [NASA ADS] [CrossRef] [Google Scholar]
  181. Stecher, T. P. 1965a, ApJ, 142, 1683 [NASA ADS] [CrossRef] [Google Scholar]
  182. Stecher, T. P., & Donn, B. 1965b, ApJ, 142, 1681 [Google Scholar]
  183. Steel, T. M., & Duley, W. W. 1987, ApJ, 315, 337 [NASA ADS] [CrossRef] [Google Scholar]
  184. Stratta, G., Fiore, F., Antonelli, L. A., Piro, L., & De Pasquale, M. 2004, ApJ, 608, 846 [NASA ADS] [CrossRef] [Google Scholar]
  185. Stratta, G., Maiolino, R., Fiore, F., & D’Elia, V. 2007, ApJ, 661, L9 [NASA ADS] [CrossRef] [Google Scholar]
  186. Tanaka, I., Kawai, N., Tokoku, C., et al. 2006, GRB Coordinates Network, 5129, 1 [NASA ADS] [Google Scholar]
  187. Tanvir, N. R., Rol, E., Levan, A. J., et al. 2010, ApJ, 725, 625 [NASA ADS] [CrossRef] [Google Scholar]
  188. Thöne, C. C., Fynbo, J. P. U., & Jakobsson, P. 2006a, GRB Coordinates Network, 5747, 1 [NASA ADS] [Google Scholar]
  189. Thöne, C. C., Levan, A., Jakobsson, P., et al. 2006b, GRB Coordinates Network, 5373, 1 [Google Scholar]
  190. Thöne, C. C., Jakobsson, P., Fynbo, J. P. U., et al. 2007a, GRB Coordinates Network, 6499, 1 [NASA ADS] [Google Scholar]
  191. Thöne, C. C., Jaunsen, A. O., Fynbo, J. P. U., Jakobsson, P., & Vreeswijk, P. M. 2007b, GRB Coordinates Network, 6379, 1 [NASA ADS] [Google Scholar]
  192. Torii, K. 2006, GRB Coordinates Network, 5540, 1 [NASA ADS] [Google Scholar]
  193. Tumlinson, J., Prochaska, J. X., Chen, H., Dessauges-Zavadsky, M., & Bloom, J. S. 2007, ApJ, 668, 667 [NASA ADS] [CrossRef] [Google Scholar]
  194. Uehara, T., Uemura, M., Kawabata, K. S., et al. 2010, A&A, 519, A56 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  195. van Dokkum, P. G. 2001, PASP, 113, 1420 [NASA ADS] [CrossRef] [Google Scholar]
  196. Vreeswijk, P. M., Ellison, S. L., Ledoux, C., et al. 2004, A&A, 419, 927 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  197. Vreeswijk, P. M., Ledoux, C., Smette, A., et al. 2007, A&A, 468, 83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  198. Vreeswijk, P., Malesani, D., Fynbo, J., et al. 2008a, GRB Coordinates Network, 8301, 1 [Google Scholar]
  199. Vreeswijk, P., Fynbo, J., Malesani, D., Hjorth, J., & de Ugarte Postigo, A. 2008b, GRB Coordinates Network, 8191, 1 [NASA ADS] [Google Scholar]
  200. Watson, D., & Laursen, P. 2011, A&A, 527, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  201. Watson, D., Reeves, J. N., Osborne, J. P., et al. 2002, A&A, 395, L41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  202. Watson, D., Fynbo, J. P. U., Ledoux, C., et al. 2006, ApJ, 652, 1011 [NASA ADS] [CrossRef] [Google Scholar]
  203. Watson, D., Hjorth, J., Fynbo, J. P. U., et al. 2007, ApJ, 660, L101 [NASA ADS] [CrossRef] [Google Scholar]
  204. Waxman, E., & Draine, B. T. 2000, ApJ, 537, 796 [NASA ADS] [CrossRef] [Google Scholar]
  205. Weingartner, J. C., & Draine, B. T. 2001, ApJ, 548, 296 [NASA ADS] [CrossRef] [Google Scholar]
  206. Will, L. M., & Aannestad, P. A. 1999, ApJ, 526, 242 [NASA ADS] [CrossRef] [Google Scholar]
  207. Willott, C. J., Simpson, C., Almaini, O., et al. 2004, ApJ, 610, 140 [NASA ADS] [CrossRef] [Google Scholar]
  208. Woosley, S. E. 1993, ApJ, 405, 273 [NASA ADS] [CrossRef] [Google Scholar]
  209. Woźniak, P. R., Vestrand, W. T., Panaitescu, A. D., et al. 2009, ApJ, 691, 495 [NASA ADS] [CrossRef] [Google Scholar]
  210. Xu, D., Starling, R. L. C., Fynbo, J. P. U., et al. 2009, ApJ, 696, 971 [NASA ADS] [CrossRef] [Google Scholar]
  211. Yoshida, M., Yanagisawa, K., & Kawai, N. 2007, GRB Coordinates Network, 6050, 1 [NASA ADS] [Google Scholar]
  212. Zafar, T., Watson, D. J., Malesani, D., et al. 2010, A&A, 515, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  213. Zafar, T., Watson, D. J., Tanvir, N. R., et al. 2011, ApJ, 735, 2 [NASA ADS] [CrossRef] [Google Scholar]
  214. Zhang, B., Fan, Y. Z., Dyks, J., et al. 2006, ApJ, 642, 354 [NASA ADS] [CrossRef] [Google Scholar]

Online material

Appendix A: Details on the spectroscopic GRB afterglow sample

A.1. GRB 050401

The optical spectrum of the afterglow of GRB 050401 was secured with the VLT/FORS2 instrument (Watson et al. 2006; F09). The NIR photometry in the J, H and K bands from Watson et al. (2006) is interpolated to the time of the SED using the R-band decay rate (α = 0.86 ± 0.1). We find that the SED of the afterglow can be well reproduced by a broken power-law with substantial amount of SMC-type dust extinction with a value of AV = 0.65 ± 0.04 mag. The best-fit parameters are given in Table 3.

GRB 050401 at z = 2.8983 is categorized as a “dark burst” as defined by Jakobsson et al. (2004a). Previously Watson et al. (2006) found the afterglow SED is compatible with a broken power-law model and SMC type dust reddening with AV = 0.62 ± 0.06, in agreement with our results. This burst has remarkably one of the highest H   i column densities with log NH   i/cm-2 = 22.60 ± 0.3 (Watson et al. 2006).

A.2. GRB 050730

The optical spectrum of the afterglow of GRB 050730 (z = 3.9693) presented in this paper was carried out with the VLT/FORS2 (F09). The afterglow SED is constructed at 4.1 h after the burst. The SED can be explained by a broken power-law, consistent with a Δβ ~ 0.5, plus a small amount of SMC type extinction with AV = 0.12 ± 0.02 mag.

Optical spectra of GRB 050730 were also acquired by the Magellan Inamori Kyocera Echelle (MIKE) echelle spectrograph on the Magellan Telescopes (Chen et al. 2005), the Intermediate-dispersion Spectroscopic and Imaging System (ISIS) on the William Herschel Telescope (WHT; Starling et al. 2005) and VLT UV-visual Echelle Spectrograph (UVES; D’Elia et al. 2007; Ledoux et al. 2009). The derived H i column density is log NH   i/cm-2 = 22.1 ± 0.1 (Starling et al. 2005; D’Elia et al. 2007; Ledoux et al. 2009). A foreground QSO is also detected in the 2D spectrum at an impact parameter of 20 arcsec (F09). Previously (Oates et al. 2009) derived AV = 0.15 from a fit of UVOT and X-ray data. Kann et al. (2010) find AV = 0.10 ± 0.02 from their optical/NIR SED fitting. Both results are consistent with our findings. Starling et al. (2005) find AV = 0.01 from spectral fitting. Schady et al. (2010) find that no extinction model is capable to fit of the NIR through X-ray SED, and derive AV ≈ 0.16 − 0.23 for the SMC model using single and broken power-laws.

A.3. GRB 050824

The optical spectrum of the afterglow of GRB 050824 (z = 0.8278) was taken with the VLT/FORS2 instrument (Sollerman et al. 2007; F09). GRB 050824 is an X-ray flash (XRF) (Sollerman et al. 2007). The optical and X-ray spectrum are normalized to the level of acquisition image photometry taken at 9.5 h after the burst trigger. The SED of the afterglow of GRB 050824 is well explained by a broken power-law and SMC extinction with AV = 0.14 ± 0.04 mag.

Schady et al. (2007b) find SMC dust fits the data best, but they are not able to discriminate among the single and broken power-law models. For both power-law models Schady et al. (2010) find AV ≈ 0.12 − 0.16, in excellent agreement with our values. Kann et al. (2010) also find that SMC model well fits the optical/NIR SED with an insignificant amount of dust (AV = 0.14 ± 0.13).

A.4. GRB 060115

The optical spectrum and the R-band photometry of the afterglow of GRB 060115 (z = 3.5328) were carried out with the VLT/FORS1 (Piranomonte et al. 2006b; F09). The SED is generated at t0 + 8.9 h after the burst. The afterglow SED of GRB 060115 is described by a single power-law and SMC type extinction with a very small amount of dust (AV = 0.10 ± 0.02 mag). The optical spectrum has very low S/N and this can be seen clearly in the extinction curve (see Fig. A.2). F09 derived an H i column density of log NH   i/cm-2 = 21.5 ± 0.1.

A.5. GRB 060512

The spectrum of the afterglow of GRB 060512 was carried out with the VLT/FORS2 (Starling et al. 2006a; F09). For this afterglow there is uncertainty about the redshift in the GCN circulars. The redshift of z = 2.1 comes from a single absorption line detected in the Telescopio Nazionale Galileo (TNG; Starling et al. 2006b) and the FORS1 spectra (F09). This redshift is also consistent with the spectral break detected by UVOT (de Pasquale & Cummings 2006; Oates et al. 2009). The R-band afterglow light curve is constructed by using magnitudes given by Mundell et al. (2006); Cenko (2006a); Milne (2006); Cenko & Baumgartner (2006). The Ks-band photometry is interpolated at the time of the SED by using observations given in Hearty et al. (2006); Tanaka et al. (2006). The J-band observations of the afterglow are taken from Sharapov et al. (2006). We reduced the UVOT data and the afterglow is clearly detected in the v, b and u bands. The interpolated lightcurve for each band is obtained by using the R-band lightcurve decay rate of α = 1.05 ± 0.1. The SED of the afterglow of GRB 060512 fits well with a broken power-law and no dust reddening (see Table 3). We estimated the 2σ upper limit for extinction in the rest-frame V-band ( < 0.08 mag).

Previously Schady et al. (2010) find that no dust model is capable of fitting the NIR through X-ray data and derive high extinction using SMC model (AV ≈ 0.47−0.66). The extinction corrected data presented in Schady et al. (2010) do not match with their given intrinsic slope of the afterglow SED.

A.6. GRB 060614

The optical spectrum of the afterglow of GRB 060614 was obtained with the VLT/FORS2 (Della Valle et al. 2006; F09). GRB 060614 has a redshift of z = 0.1257, the lowest redshift in our flux calibrated GRB sample. The redshift is estimated from the emission lines from the GRB host galaxy (Della Valle et al. 2006). GRB 060614 is a nearby, long duration GRB but not accompanied by a bright supernova (Fynbo et al. 2006c; Della Valle et al. 2006; Gal-Yam et al. 2006; Gehrels et al. 2006). The UVOT data were previously published in Xu et al. (2009) and Mangano et al. (2007). We re-reduced the UVOT data for v, b, u, uvw1, uvm2 and calibrated the afterglow fluxes in these bands using the photometric technique given in Poole et al. (2008). The optical to the X-ray SED of the afterglow of GRB 060614 is well modeled with a broken power-law and low SMC type extinction with AV = 0.1 ± 0.03 mag.

Mangano et al. (2007) find that SMC dust well fits the optical through X-ray SED, with AV = 0.05 ± 0.02, values comparable to ours. Kann et al. (2011) find SMC dust model fits the optical data, and even higher extinction is obtained (AV = 0.28 ± 0.07). The SED is not provided in Kann et al. (2011), therefore a detailed comparison could not be made.

A.7. GRB 060707

The optical spectrum of the afterglow of GRB 060707 (z = 3.4240) together with R-band photometry are taken with the VLT/FORS1 (Jakobsson et al. 2006a; F09). The afterglow SED is constructed at 34.4 h after the burst trigger. The optical to X-ray SED of the afterglow of GRB 060707 can be nicely reproduced with a single power-law and SMC type dust extinction (AV = 0.08 ± 0.02 mag). The derived H i column density is log NH   i/cm-2 = 21.0 ± 0.2 (Jakobsson et al. 2006a).

A.8. GRB 060708

The optical spectrum and R-band photometry of the afterglow of GRB 060708 are obtained with the VLT/FORS2 (Jakobsson et al. 2006c; F09). A precise redshift of the burst is not obtained due to the low S/N of the optical spectrum (F09). The reported redshift of z = 1.92 was based on spectral break seen in UVOT data due to Lyα break (Schady & Moretti 2006). Together with the X-ray and optical spectrum we reduced the UVOT data in all bands obtained from the Swift science archive facility. The data were reduced using the standard UVOT photometric calibration technique described in Poole et al. (2008). The afterglow is clearly detected in the UVOT v, b and u photometric bands. The optical to X-ray SED of the afterglow is well fit with a broken power-law together with SMC type dust extinction, AV = 0.13 ± 0.02 mag.

A.9. GRB 060714

The optical spectrum of the afterglow of GRB 060714 (z = 2.7108) was carried out with the VLT/FORS1. The R-band lightcurve is obtained from the circulars spanning from 0.04 to 4 days after the burst. The I and J-band photometric magnitudes were obtained from the CTIO A Novel Dual Imaging CAMera (ANDICAM) instrument (Cobb 2006). The UVOT data of the afterglow is reduced and the source is well detected in the v and b bands. We modeled the intrinsic SED of the afterglow and found that the afterglow can be well explained by a broken power-law together with SMC type extinction with restframe extinction of AV = 0.22 ± 0.02 mag.

Previously Jakobsson et al. (2006a) obtained the redshift and the H   i column density of log NH   i/cm-2 = 21.8 ± 0.1 from the optical afterglow spectrum. Moreover extended Lyα emission in the center of the DLA trough is clearly detected (F09). Schady et al. (2010) find that no dust model is able to fit the optical/X-ray data. The least bad is the SMC-type dust and power-law with dust extinction AV = 0.46 ± 0.17, comparable to our results. The afterglow SED in Schady et al. (2010) is constructed from the Rvb band and X-ray data. While b band is clearly affected by the Lyα absorption at z = 2.7108 and might causes high amount of extinction.

A.10. GRB 060729

The optical spectrum of the afterglow of GRB 060729 at z = 0.5428 is obtained with the VLT/FORS2 (Thöne et al. 2006b; F09). The acquisition image photometry was carried out using the I-band filter as reported in Table 1. The UVOT data of the afterglow of GRB 060729 is previously published in Grupe et al. (2007). The Swift UVOT data of the afterglow of GRB 060729 have been re-reduced and the source is clearly detected in the v, b, u, uvw1 and uvm2 filters. The optical spectrum is not of good quality and has broad undulations, therefore, the true shape of the underlying continuum cannot be seen from the spectrum. The optical spectrum has very low S/N and is affected by the high airmass at the time of the observation (F09). The afterglow SED can be fitted by a single power-law and SMC type dust extinction, and resulted in a very small amount of dust (AV = 0.07 ± 0.02 mag).

Schady et al. (2010) find that SMC/power-law is the best model, resulting in low amount of extinction with AV = 0.03 ± 0.01 and consistent with our value.

A.11. GRB 060904B

The optical spectrum of the afterglow of GRB 060904B (z = 0.7029) was obtained with the VLT/FORS1 instrument (Fugazza et al. 2006; F09). In our sample GRB 060904B has the highest amount of foreground extinction and absorption (see Table 1). The SED of the afterglow is constructed at 5.1 h after the burst. The SED fits well with a single power-law and SMC type extinction with extinction of AV = 0.31 ± 0.02 mag. The SED seems like a broken power-law case with softer X-ray slope. However, due to large uncertainties on the X-ray spectrum the fitting routine cannot minimize both models accurately and prefers a single power-law.

Previously Schady et al. (2010) find no good fit for any dust model but find that single power-law is less likely, suggesting low extinction with . Kann et al. (2010) find that their optical-NIR SED is consistent with no dust reddening using any dust model. The SED is not provided in Kann et al. (2010), therefore a detailed comparison could not be made.

A.12. GRB 060906

The optical spectrum of the afterglow of GRB 060906 (z = 3.6856) was obtained with the VLT/FORS1 spectrograph (Jakobsson et al. 2006a; F09). The I-band observation was taken at the New Mexico Skies Observatory (Torii 2006) and corrected for the time using the R-band lightcurve power-law with shallow decay index α = 0.56 ± 0.07 (Cenko et al. 2006; Cenko 2006b). The z′ band observation is taken from the lightcurve presented in Cenko et al. (2009). The optical to X-ray SED can be fitted with a broken power-law with no dust extinction. The derived 2σ extinction upper limit is  < 0.09 mag. The X-ray to optical slope differ by Δβ ~ 0.5 which corresponds to the change in slope caused by the cooling frequency (Sari et al. 1998) lying within the observed frequency range.

The derived H i column density is log NH   i/cm-2 = 21.85 ± 0.1 (Jakobsson et al. 2006a). Previously Cenko et al. (2009) fitted the SED and found dust extinction with . Kann et al. (2010) fit the optical afterglow SED and find insignificant dust extinction AV = 0.05 ± 0.05, in agreement with our results.

A.13. GRB 060926

The optical afterglow of GRB 060926 (z = 3.2086) was observed with the VLT/FORS1 (Piranomonte et al. 2006a; F09). The Lyα emission from the host galaxy of the GRB is detected in the trough of the DLA (F09). The estimated H i column density is log NH   i/cm-2 = 22.7 ± 0.1 (Jakobsson et al. 2006a). The optical to X-ray SED is normalized to the acquisition image photometry at 7.7 h after the burst. The optical to X-ray SED is well described by a single power-law and SMC type dust with a moderate extinction of AV = 0.31 ± 0.02 mag.

A.14. GRB 060927

The optical spectrum of the afterglow of GRB is carried out with the VLT/FORS1 spectrograph (Ruiz-Velasco et al. 2007; F09). GRB 060927 with a redshift of z = 5.4636 is the second highest redshift GRB in our spectroscopic GRB sample. The redshift is based on a single Si   ii absorption line (Ruiz-Velasco et al. 2007). The K, J and I band observations of the afterglow were carried out with VLT filters (Ruiz-Velasco et al. 2007). We took NIR photometry and spectroscopy to construct the composite SED at 12.5 h after the burst trigger. The SED of the afterglow can be fitted with a single power-law without any dust extinction. The estimated 2σ upper limit for the AV is  < 0.12 mag.

The optical spectrum of the afterglow is previously published in Ruiz-Velasco et al. (2007) reporting the H i column density of log NH   i/cm-2 = 22.50 ± 0.15. Kann et al. (2010) fit the NIR SED of the afterglow and found  ≤ 2.5σ significant dust with AV = 0.21 ± 0.08 for SMC dust. Due to the large uncertainties on the NIR data, no model could be able to fit the NIR segment alone.

A.15. GRB 061007

GRB 061007 is an extremely bright burst detected by Swift accompanied by a very luminous afterglow and similar decay rate in the X-ray and optical bands (Schady et al. 2007a). The spectrum of the optical afterglow of GRB 061007 at z = 1.2622 was obtained with the VLT/FORS1 (Jakobsson et al. 2006b; Paper). The I-band photometry is obtained from the lightcurve presented by Mundell et al. (2007). We reduced the UVOT data of the GRB afterglow and detected source in the v, b and u photometric bands. The SED of the afterglow is nicely fitted with a single power-law together with SMC extinction with a value of AV = 0.35 ± 0.03 mag.

Oates et al. (2009) and Schady et al. (2010) find high values of extinction varying from AV ≈ 0.66 − 0.75, while Schady et al. (2010) prefer LMC dust model. The results of Mundell et al. (2007) with AV = 0.48 ± 0.19 and Kann et al. (2010) with AV = 0.48 ± 0.10 are comparable with our values. There is an indication of a 2175 Å bump in the blue end of the optical spectrum. The central wavelength of the bump (i.e. λobs ~ 4520 Å) does not match with the redshift of the GRB. An intervening absorber at redshift z = 1.066 is also seen in the spectrum with strong Mg   ii and Ca   ii lines. This absorption feature could be associated with the intervening absorber. Apart from the optical spectrum, no other sign of the intervening absorber is seen at this redshift.

A.16. GRB 061021

The spectrum of the GRB 061021 was secured with the VLT/FORS1 spectrograph (Thöne et al. 2006a; F09). The redshift of the burst (i.e. z = 0.3463) is obtained from Mg   ii absorption lines (Hjorth et al, in prep). This is the second lowest redshift of our flux calibrated GRB afterglow sample. The UVOT photometric data have been reduced and the afterglow is well detected in the v, b, u, uvw1 and uvm2 filters (see Fig. A.1). The intrinsic SED of the afterglow can be explained by a broken power-law consistent with a cooling break as explained by Sari et al. (1998) and with no dust extinction. The estimated 2σ extinction upper limit is  < 0.1 mag.

A.17. GRB 061110A

The optical spectrum of the afterglow of GRB 061110A at z = 0.7578 was obtained with the VLT/FORS1 (Fynbo et al. 2007; F09). The intrinsic SED of the afterglow is scaled to the acquisition image photometry. The afterglow spectrum of this burst has low S/N. The optical to X-ray SED can be modeled with a single power-law with no dust reddening. We derived the 2σ extinction upper limit of AV < 0.1 mag.

A.18. GRB 061110B

The VLT/FORS1 carried out the optical observation of the afterglow of GRB 061110B at z = 3.4344 (Fynbo et al. 2006a; F09). The afterglow SED is constructed at t0 + 2.5 h epoch scaling with the R-band flux. The estimated H i column density is log NH   i/cm-2 = 22.35 ± 0.1 (F09). The intrinsic SED of the afterglow can be explained by a broken power-law all the way from optical to the X-ray with SMC type extinction with AV = 0.22 ± 0.03 mag.

A.19. GRB 070110

The optical spectrum of GRB 070110 (z = 2.3521) was obtained with the VLT/FORS2 spectrograph (Jaunsen et al. 2007b; F09). The UVOT data of this burst have been reduced by using UVOT calibration technique given by Poole et al. (2008). The afterglow is detected only in the v and b bands. The optical to X-ray SED of the afterglow is fitted with a broken power-law indicating a cooling break as suggested by Sari et al. (1998). We find no dust extinction in this burst. The derived 2σ extinction upper limit is AV < 0.11 mag.

The estimated H i column density is log NH   i/cm-2 = 21.7 ± 0.1 (F09). Previously Schady et al. (2010) find that broken power-law well fits the data, but they could not distinguish between the MW, LMC and SMC dust models, finding dust extinction of with SMC model.

A.20. GRB 070125

The optical spectrum of the afterglow of GRB 070125 (z = 1.5471) was carried out with the VLT/FORS2 and previously published in F09. The broad undulations in the optical spectrum are due to systematics in the flux calibration. The redshift of the GRB is determined from the data obtained with Gemini North Telescope equipped with GMOS (Cenko et al. 2008). The Rc and I band observations have been collected by the MITSuME Telescope (Yoshida et al. 2007). The J, H and Ks band observations of the afterglow have been obtained with the robotic Peters Automatic Infrared Imaging Telescope (PAIRITEL; Bloom et al. 2007b) and scaled to Rc-band flux level using the decay rate from a decent R-band lightcurve obtained from the circulars. The R-band lightcurve exhibits a plateau phase and a break to a steeper decay with decay indices α1 = 1.4 ± 0.1 and α2 = 2.55 ± 0.07 and break time at  ~4 days after the burst. The optical spectrum is normalized to Rc-band flux level. The X-ray to optical/NIR SED can be fitted with a broken power-law and SMC-type linear extinction with AV = 0.27 ± 0.03 mag.

Previously Kann et al. (2010) carried out a fit to the optical/NIR data and found that SMC dust best fits the data with little amount of dust (AV = 0.11 ± 0.04). We find that the errors on the photometry are large and the NIR/optical X-ray joint fit suggests a cooling break in the SED and moderate extinction.

A.21. GRB 070129

The optical spectrum of the afterglow of GRB 070129 was obtained with the VLT/FORS2 spectrograph together with the R-band imaging (F09). We collected the I-band detection of the afterglow from Michigan-Dartmouth-MIT (MDM) Hiltner telescope (Halpern et al. 2007), which is close to the time of the SED. The redshift (z = 2.338) reported here was estimated from the host galaxy [O   iii] emission line (Bo Milvang-Jensen private comm.). The intrinsic SED of the afterglow is scaled to the level of the R-band observation. The X-ray to optical SED of the afterglow is reproduced well with a broken power-law with SMC type extinction with a typical value of AV = 0.30 ± 0.02 mag.

A.22. GRB 070318

The optical spectrum of the afterglow of GRB 070318 (z = 0.8397) was carried out with the VLT/FORS1 spectrograph (Jaunsen et al. 2007a; F09). The spectrum shows an unusual sharp break in the optical spectrum around λobs ~ 5000 Å. A spectrum simultaneously obtained at the Magellan telescope, showed the same optical break (Chen et al. 2007). The Swift UVOT data have been reduced together with the NIR data from ANDICAM. The UVOT slope is consistent with the downturn in the optical spectrum. The SED of the afterglow is generated at t0 + 16.7 h after the burst. There is clear evidence for dust attenuation in the NIR to X-ray afterglow SED. Due to the sharp break in the optical spectrum and peculiar dust reddening the data are not consistent with SMC-origin extinction curve. We fit the SED with FM-dust induced model and found that the SED fits with a sharp break in the optical spectrum. The extinction curve is very unusual due to the sharp optical break. The GRB is not included in our extinction sample due to non-consistency with the synchrotron model. This sharp break could be due to destruction of dust grains by the GRB. A more detailed and comprehensive analysis of the SED will be given in Watson et al. (in prep).

Previously Schady et al. (2010) implemented UVOT-XRT joint fit and found that a broken power-law is a slightly better fit to the data with dust extinction of .

A.23. GRB 070506

The optical spectrum of the afterglow of GRB 070506 (z = 2.3090) was taken with the VLT/FORS2 instrument (Thöne et al. 2007b; F09). The estimated H   i column density is log NH   i/cm-2 = 22.0 ± 0.3 (F09). The optical spectrum redwards of λobs ≈ 7000 Å  is affected by strong fringing, therefore, this part is not included in our SED analysis. The intrinsic SED of the afterglow is modeled and we find a broken power-law to be a reasonable fit to the data. In addition to the broken power-law the data require dust using SMC type dust grains with AV = 0.44 ± 0.05 mag.

A.24. GRB 070611

The optical spectrum of the afterglow of GRB 070611 (z = 2.0394) was obtained with the VLT/FORS2 (Thöne et al. 2007a; F09). The derived neutral hydrogen column density of the DLA is log NH   i/cm-2 = 21.3 ± 0.2 (F09). The SED is scaled to the time of the R-band photometry at 7.7 h. The X-ray to optical SED of the afterglow is defined by a single power-law and SMC type dust extinction (AV = 0.06 ± 0.02 mag).

A.25. GRB 070721B

The optical spectrum of the afterglow of GRB 070721B (z = 3.6298) is carried out with the VLT/FORS2 spectrograph (Malesani et al. 2007; F09). The estimated H i column density is log NH   i/cm-2 = 21.5 ± 0.2 (F09). The SED is scaled to the flux level of the R-band photometry. The intrinsic SED of the afterglow is nicely reproduced by using a broken power-law and SMC-type extinction with AV = 0.2 ± 0.02 mag (see Fig. A.1).

A.26. GRB 070802

The optical observations of GRB 070802 (z = 2.4541) were obtained with the VLT/FORS2 spectrograph. The 2175 Å dust extinction feature is clearly seen in the optical spectrum of the afterglow (F09; Elíasdóttir et al. 2009). The burst is categorized as dark burst as defined by Jakobsson et al. (2004a). The J, H and K band observations are taken at t0 + 2.0 h from the lightcurves presented in Krühler et al. (2008) for each band. We reduced UVOT data using the calibration techniques defined by Poole et al. (2008). The afterglow is well detected in the v and b bands (see Fig. A.1). Due to the presence of a strong 2175 Å bump feature, the SMC extinction curve gives the worst fit to the data. The observed bump is shallower than the MW, therefore, CCM is also not a good fit to the data. We fitted the SED using a FM extinction model with both single and broken power-laws. The intrinsic SED is well described with a single power-law and a large amount of dust observed in rest-frame V-band (AV = 1.19 ± 0.15 mag) with total-to-selective extinction of RV = 2.81 ± 0.68. The complete log of the best fit FM parameters is given in Table 4.

The neutral hydrogen column density of log NH   i/cm-2 = 21.5 ± 0.2 is determined from the optical spectrum (Elíasdóttir et al. 2009). The rest-frame extinction curve of the afterglow is shown in Fig. A.2. The NIR to X-ray SED has been previously fitted by Elíasdóttir et al. (2009); Krühler et al. (2008); Cenko et al. (2009); Greiner et al. (2011), finding high dust extinction (AV ≳ 1.0) with a single power-law, similar to our results.

A.27. GRB 071020

There was no PC mode data available near the time of the optical spectrum of GRB 071020 (z = 2.1462), therefore, we reduced early and late time PC mode X-ray data for this burst using the procedure described in Sect. 2.4. We further checked that the X-ray spectral slope for early and late time are similar. The optical spectrum of the afterglow was obtained with the VLT/FORS2 instrument (Jakobsson et al. 2007c; F09). The derived H i column density is log NH   i/cm-2 < 20.30 (Nardini et al. in prep.; F09). In our spectroscopic sample, this is the lowest column density obtained from the optical spectrum. The Lyα is in the very blue end of the spectrum and is not seen clearly (see F09). The R, J and K band observations are taken from Nardini et al. (in prep.). The H-band photometry is carried out with PAIRITEL (Bloom et al. 2007a) and scaled to the time of the SED. A comprehensive analysis of the optical spectrum of GRB 071020 will be discussed in Nardini et al. (in prep.). The SED of the afterglow of GRB 071020 can be modeled using a broken power-law with SMC type extinction with AV = 0.40 ± 0.04 mag. The change in slope is consistent with Δβ = 0.5 (see Table 3).

The best fit of Kann et al. (2010) implies SMC-type dust with AV = 0.28 ± 0.09, comparable to our results within uncertainties.

A.28. GRB 071031

The acquisition image photometry and the spectroscopy of the afterglow of GRB 071031 (z = 2.6918) were carried out with the VLT/FORS2 instrument (Ledoux et al. 2007; F09). The i′, z′, J, H and Ks band photometry have been obtained from GROND (Krühler et al. 2009). We also compared acquisition camera photometry to the r′ band photometry presented in Krühler et al. (2009) and taken at similar time, finding consistent values. The obtained column density of the GRB-DLA is log NH   i/cm-2 = 22.15 ± 0.05 (Ledoux et al. 2009). The SED of the afterglow of GRB 071031 fits well with a broken power-law and no dust reddening. The estimated 2σ reddening upper limit in the V-band is  < 0.07 mag.

Previously Kann et al. (2010) modeled the optical-NIR data and found that SMC model well fits the data with insignificant amount of dust AV = 0.14 ± 0.13. The SED presented in this paper clearly indicate no dust. Greiner et al. (2011) find no dust extinction from the GROND-XRT joint fit, consistent with our results.

A.29. GRB 071112C

The optical spectrum of the afterglow of GRB 071112C at z = 0.8227 was carried out with the VLT/FORS2 instrument together with the acquisition image photometry (Jakobsson et al. 2007b; F09). The only available H band photometry has been taken with the MAGNUM (Minezaki et al. 2007). The R-band lightcurve is retrieved from the GRBlog and fitted with a decay index of α = 0.92 ± 0.06. We used the R-band lightcurve decay rate to obtain the NIR photometry at 10 h after the burst. The SED and optical/NIR observations of the afterglow have been previously discussed in Uehara et al. (2010). The intrinsic SED of the afterglow is modeled well with a broken power-law and presents no dust extinction. The derived upper limit for dust reddening is  <0.08 mag.

Previously Kann et al. (2010) studied the optical-NIR afterglow SED and found that SMC dust best fit the data with an insignificant amount of dust (AV = 0.23 ± 0.21). On the contrary, NIR to X-ray afterglow SED studied in this paper suggests no dust extinction (see Fig. A.1).

A.30. GRB 071117

The optical spectrum of the afterglow of GRB 071117 (z = 1.3308) was obtained with the VLT/FORS1 (Jakobsson et al. 2007a; F09). The estimated redshift of the afterglow comes from [O   ii] emission line. The optical and X-ray spectrum are normalized to the R-band acquisition camera photometry at 9 h after the burst trigger. The NIR to X-ray data fit well with a single power-law and SMC type with dust reddening of AV = 0.26 ± 0.02 mag.

A.31. GRB 080210

The optical spectrum of the afterglow of GRB 080210 at z = 2.6419 was carried out using the VLT/FORS2 instrument (Jakobsson et al. 2008b; De Cia et al. 2011; F09). The early and late time R-band photometry has been acquired with FORS2 (see De Cia et al. 2011). We selected the R-band photometry at 1.69 h which is near the mid time of the optical spectrum and scaled the afterglow SED to that level. The optical spectrum is corrected for slit losses and kindly provided by Annalisa De Cia (see also De Cia et al. 2011). In addition to the optical spectrum the optical/NIR data have been obtained by using the GROND telescope (Greiner et al. 2011). We obtained the g′, r′, i′, z′, J, H and Ks band photometry at the time of the SED (Krühler, private comm.). The i′ and z′ data show a spectral plateau and are clearly down compared to the rest of the photometry (see Fig. A.1), therefore, the GROND photometry is not included in our SED fitting. The optical-XRT SED is modeled nicely with a broken power-law and SMC-type dust reddening. The dust extinction is found to be AV = 0.33 ± 0.03. The change in the spectral slope for this afterglow is Δβ = 1.14 ± 0.13 (see Fig. 1).

The estimated H i column density for the DLA is of log NH   i/cm-2 = 21.90 ± 0.10 (De Cia et al. 2011). Kann et al. (2010) fitted the GROND SED and assumed the i′ and z′ data as an indication of 2175 Å bump, resulting in some deviation from the dust model and give quite large extinction (AV = 0.7). An independent analysis of De Cia et al. (2011) also confirms that the spectral change is around 1.0 and is inconsistent with the fireball model. This is the only outlier with twice the spectral slope change as compared to the other break frequency cases. The X-ray slope for this case is much softer than the other cases (see Fig. 1). We checked that the X-ray spectrum becomes gradually softer (Γ = β + 1 > 2.0) in the time interval ranging from 1000 to 10 000 s, suggesting that energy injection from the central engine is likely to be decreasing at these times. For SMC type extinction De Cia et al. (2011) found AV = 0.18 ± 0.03. Greiner et al. (2011) employed a joint GROND-XRT fit to the data with fixed Δβ = 0.5 and find AV = 0.24 ± 0.03.

A.32. GRB 080319B

The optical spectrum of the afterglow of GRB 080319B (z = 0.9382) was obtained with the VLT/FORS2 spectrograph almost one day after the burst trigger (F09). The GRB is commonly referred to as the “naked eye burst” due to its peak visual magnitude of 5.3 mag (Racusin et al. 2008; Woźniak et al. 2009; Bloom et al. 2009). The g′, r′, i′ and z′ band photometry has been obtained from the lightcurves for these filters presented in Tanvir et al. (2010). The UVOT data have been reduced and the magnitudes obtained for the v, b, u and uvw1 filters, where the afterglow is clearly detected. We generated the SED at 26 h after the burst and modeled it using power-laws and dust extinction. We found the observed data fit very well with a single power-law all the way from optical to the X-ray and no dust reddening. The upper limit on the amount of dust is estimated to be  < 0.11 mag.

Kann et al. (2010) find no dust extinction from optical-NIR SED fitting, in excellent agreement with our result.

A.33. GRB 080520

The optical spectrum of the afterglow of GRB 080520 (z = 1.5457) was obtained with the VLT/FORS2 spectrograph at the time when the afterglow was very faint. The UVOT data have been reduced and the afterglow is only detected in the v band. The SED of the afterglow is constructed and the data are well fitted with a single power-law and SMC-type dust extinction with AV = 0.23 ± 0.02 mag.

Greiner et al. (2011) fit the XRT through optical/NIR data and find weakly constrained high amount of extinction (). Our results are consistent to Greiner et al. (2011) within 1σ.

A.34. GRB 080605

The optical spectrum of the afterglow of GRB 080605 (z = 1.6403) was carried out with the VLT/FORS2 in different grisms (Jakobsson et al. 2008c; F09). The 2175 Å absorption dip is clearly seen in two FORS2 grism spectra. Being at redshift z < 2 the Lyα is not detected for this burst due to the sensitivity range of the spectrograph. Therefore metal abundances cannot be obtained for this interesting case. We reduced the UVOT data of the afterglow and found that the source is contaminated by a nearby object. After subtraction the afterglow is not visible in any UVOT bands. The 2175 Å absorption dip is very weak and narrow. The SED is modeled with the FM extinction law. The SED is well described by a single power-law and large amount of dust extinction in restframe V band of  mag. The extinction curve of the afterglow suggests RV consistent with its value in the MW (see Fig. A.2). The metallicity obtained from the equivalent width of Si   ii (1526 Å) suggests a fairly high metallicity for this burst (see Table 6).

Greiner et al. (2011) find that the MW dust model best-fit the data with moderate amount of extinction (AV = 0.47 ± 0.03). The SED presented in this paper is not complete and lacking the NIR data, which could be in the restframe V-band. This particular case with other 2175 Å bump cases will be discussed in Zafar et al. (in prep.).

A.35. GRB 080607

The optical spectrum of the afterglow of GRB 080607 (z = 3.0368) was obtained with the Keck telescope and previously published in Prochaska et al. (2009); Perley et al. (2011b) and F09. Because of being not observed with the VLT, this burst is not a part of our spectroscopic GRB sample. The derived neutral hydrogen column density of GRB-DLA is log NH   i/cm-2 = 22.70 ± 0.15 (Prochaska et al. 2009; F09). Due to the occurrence of GRBs in star-forming molecular clouds, molecular hydrogen has been searched for many GRBs and resulted in non-detections (Vreeswijk et al. 2004; Tumlinson et al. 2007; Sheffer et al. 2009). Fynbo et al. (2006b) tentatively interpreted an absorption feature as H2 in their spectrum of GRB 060206. For the first time, strong unambiguous H2 and CO molecular absorption lines were detected in the optical afterglow spectrum of GRB 080607 (Prochaska et al. 2009; Perley et al. 2011b). Most of the 2175 Å extinction bump is clearly detected in the optical spectrum. The remaining part of the bump is covered by using the z and i filters. The afterglow is detected in the NIR J, H and Ks bands with PAIRITEL. The I and V band observations have been performed with the Katzman Automatic Imaging Telescope (KAIT) and the R, i and z band detection are from the robotic Palomar 60 inch telescope (see Table:1 Perley et al. 2011b). This burst classifies as dark by the definition of Jakobsson et al. (2004a). The GRB afterglow is remarkably luminous in optical and NIR wavelengths. Since the optical data have strong H2 molecular absorption lines which makes it hard to see the underlying continuum, therefore, we fit with the binned spectrum where lines are already taken out (see Table 4; Perley et al. 2011b). We fit the data with the FM parameterization and the best fit parameters are given in Table 4. The intrinsic SED of the afterglow is nicely reproduced with  mag and a very high RV = 3.75 ± 1.04. The 2175 Å is the widest compared to all other bump cases (see Table 4). The host galaxy of the GRB afterglow is also extremely red in the optical and NIR bands (Chen et al. 2010).

Previously Prochaska et al. (2009) found AV ≈ 3.2 and Perley et al. (2011b) estimated AV = 3.3 ± 0.4 the optical/NIR data fit. Both authors found RV ~ 4 which is consistent with our result of a shallower extinction curve.

A.36. GRB 080707

The optical spectrum of the afterglow of GRB 080707 (z = 1.2322) is obtained with the VLT/FORS1 under bad conditions (Fynbo et al. 2008b; F09). The SED is normalized to the R-band observation taken at 1.1 h after the burst. The intrinsic SED of the afterglow is fitted with a broken power-law and no dust reddening. The upper limit on the dust content is AV < 0.13 mag.

Greiner et al. (2011) implemented the GROND-XRT joint fit to the data and find that the data are consistent with no dust with an insignificant value of  mag.

A.37. GRB 080721

The optical spectrum of the afterglow of GRB 080721 at z = 2.5914 was obtained with the VLT/FORS1 spectrograph (Starling et al. 2009; F09). We extracted the UVOT data and the afterglow is detected in the v and b band. The I-band photometry is obtained at 10.2 h using the I-band observations given by Starling et al. (2009). The neutral hydrogen column density of the DLA is log NH   i/cm-2 = 21.6 ± 0.1 (F09). The intrinsic SED is scaled to the R-band acquisition camera photometry. The data is well described by using a single power-law and no dust reddening. The estimated upper limit for dust reddening is  < 0.12 mag.

Previously Starling et al. (2009) found no cooling break between the X-ray and optical wavelengths. Despite the large errors on the photometry, Kann et al. (2010) fit the optical SED and find AV = 0.35 ± 0.07.

A.38. GRB 080805

The optical spectrum of the afterglow of GRB 080805 (z = 1.5042) was obtained with the VLT/FORS2 (Jakobsson et al. 2008a; F09). The spectrum clearly show a 2175 Å absorption feature at the redshift of the GRB. Due to the relative faintness in the optical, the afterglow is not detected in any of the UVOT filters. The spectrum shows a pretty clear absorption dip and the extinction curve resembles that of the MW. The intrinsic SED of the afterglow is generated 1.0 h after the burst trigger. The X-ray to optical SED is reproduced nicely with a single power-law plus FM extinction curve with a large amount of dust reddening of AV = 1.53 ± 0.13 mag and total-to-selective extinction of RV = 2.48 ± 0.39.

Previously Greiner et al. (2011) modeled the GROND-XRT data and found that MW dust model, with a 2175 Å bump, provides the best explanation to the data with . The value is consistent with the results we find from our analysis.

A.39. GRB 080905B

The optical spectroscopy of the afterglow of GRB 080905B at z = 2.3739 was taken with the VLT/FORS2 together with the R band acquisition image photometry (Vreeswijk et al. 2008b; F09). We implemented MIDAS package FITLYMAN (Fontana & Ballester 1995) to determine the neutral hydrogen column density. The derived H   i column density of the afterglow of GRB 080905B is log NH   i/cm-2 < 22.15. Since the afterglow flux is contaminated by the light from another object on the slit, we suggest the column density to be an upper limit. We modeled the intrinsic afterglow SED and the data are well fitted with a single power-law and dust extinction with AV = 0.41 ± 0.03 mag

A.40. GRB 080913

The spectrum of the afterglow of GRB 080913 was taken with the VLT/FORS2 (Greiner et al. 2009; F09; Zafar et al. 2011). GRB 080913 is the highest redshift GRB in our spectroscopic sample. The acquisition image was taken with z-Gunn filter. The magnitude reported in Table 1 is strongly affected by Lyα absorption. We corrected the magnitude for Lyα absorption using spectro-photometric analysis (see Zafar et al. 2011 for detail). A comprehensive description of the SED analysis is given in Zafar et al. (2011). The neutral H   i column density of the DLA is NH   i/cm-2 < 21.14 (Greiner et al. 2009).

A.41. GRB 080916A

The optical spectrum of the optical afterglow of GRB 080916A (z = 0.6887) was carried out with the VLT/FORS2 (Fynbo et al. 2008a; F09). The SED is constructed at 17.1 h i.e. the time of R-band acquisition image photometry. The intrinsic SED is nicely reproduced with a broken power-law and SMC type dust extinction with AV = 0.15 ± 0.04 mag.

A.42. GRB 080928

The optical spectrum of the afterglow of GRB 080928 at z = 1.6919 was obtained with the VLT/FORS2 (Vreeswijk et al. 2008a; F09). We collected the optical/NIR photometry at the time of the SED taken with GROND from Rossi et al. (2011). We scaled the spectrum to the level of the r′ band photometry taken at 15.5 h. In addition we reduced the UVOT data for this burst and fluxes are obtained for the v, b and u bands at the common SED epoch. The intrinsic SED is well fitted with a single power-law and SMC extinction. The best fit AV value is 0.3 ± 0.03 mag.

Kann et al. (2010) find that a MW dust model best fits the optical-NIR data with a small amount of extinction (AV = 0.14 ± 0.08). We do not find any evidence for the 2175 Å bump in the optical spectrum.

thumbnail Fig. A.1

Afterglow SEDs of the spectroscopic GRB sample in νFν and ν space. In each figure, we plot the best fit extinguished (solid lines) and extinction corrected spectral model (dashed lines). The grey curve represents the optical spectrum. The X-ray spectra are indicated by blue points. The black triangle corresponds to acquisition camera photometry used for scaling the SED. Black open circles are not included in the spectral fitting because of the optical spectrum wavelength coverage in that region while solid circles represent the data points included in the SED modeling. The red curve shows the best fit single power-law model and the green curve illustrates the broken power-law model.

thumbnail Fig. A.1

continued.

thumbnail Fig. A.1

continued.

thumbnail Fig. A.1

continued.

thumbnail Fig. A.1

continued.

thumbnail Fig. A.1

continued.

thumbnail Fig. A.2

Absolute extinction curves of the spectroscopic GRB sample. The extinction curves are based on the best fit models given in Table 2. The grey curve represents the optical spectrum. The black triangles correspond to acquisition camera photometry used for scaling the afterglow SED. Black open circles are not included in the spectral fitting because of the optical spectrum wavelength coverage in that region while solid circles represents the photometric data points included in the SED modeling. The red solid curve corresponds to the best dust model for each GRB. Also shown are the Milky Way (green dashed line) and SMC (blue dotted line) extinction models taken from Pei (1992).

thumbnail Fig. A.2

continued.

thumbnail Fig. A.2

continued.

thumbnail Fig. A.2

continued.

All Tables

Table 1

Basic data on the flux calibrated spectroscopic sample.

Table 2

Results of fits to the SEDs.

Table 3

Parameters of the best fit with the SMC extinction curve (RV = 2.93) of Pei (1992).

Table 4

Best fit extinction curve parameters for the afterglow cases where FM is the best model (see Table. 2).

Table 5

Spectroscopic GRB sample.

Table 6

GRB sub-sample metallicity measurements taken either from the literature or based on the Si ii lines strength.

All Figures

thumbnail Fig. 1

Δβ against the X-ray spectral slope. The dashed line corresponds to Δβ = 0.5. GRB 080210 is an outlier and has a softer X-ray slope compared to the rest of the sample.

In the text
thumbnail Fig. 2

Distribution of the restframe visual extinction, AV, of our flux calibrated spectroscopic sample. The solid curve corresponds to detections; the dot-dashed curve to detections and 2σ upper limits.

In the text
thumbnail Fig. 3

AV against spectroscopically measured H   i column density in log-log space. NH   i values are obtained from the literature and given in Table 5. The dashed line corresponds to the NH   i/AV ratio for the SMC environment given by Weingartner & Draine (2001).

In the text
thumbnail Fig. 4

Visual extinction against UV metal abundances in solar units. The metallicities obtained from the literature based on Zn element are marked with red stars. The rest of the data points are based on Si element metallicities (see Table 6). GRB 080607 is indicated with a red square. The metallicity or AV upper limits are represented by small circles or stars. The dashed line indicates metals-to-dust relation for the Local Group (indicated as LG).

In the text
thumbnail Fig. 5

AV measurements versus NH,X for the spectroscopic GRB sample determined from X-ray spectral analysis and SED fitting. The dotted curve represents the metals-to-dust ratio for the Local Group environments (indicated as LG) assuming solar abundances.

In the text
thumbnail Fig. 6

Metals-to-dust ratio (NH,X/AV) distribution of our spectroscopic GRB sample in Galactic units. The solid line show the cases where both NH,X and AV are significantly measured. The upper and lower limits to the metals-to-dust ratios are shown by the dotted histogram and the limits in each bin are marked by left or right arrows.

In the text
thumbnail Fig. 7

Restframe AV and metals-to-dust ratio (NH,X/AV) for our GRB sample. The filled circles are for the cases where NH,X and AV are  ≥ 2σ significant. The open circles represent upper limits either obtained for NH,X or AV. The filled square corresponds to GRB 080607 observed with the Keck telescope.

In the text
thumbnail Fig. 8

Restframe AV measurements versus GRB metallicity. The metallicities obtained from the literature based on Zn are marked with red stars. The remaining data points are based on Si element metallicities (see Table 6). GRB 080607 is shown as an open square. The small circles or stars represent metallicity or AV upper limits.

In the text
thumbnail Fig. 9

Gas-to-dust ratio versus metallicity for GRB sub-sample. The metallicities obtained from the literature based on Zn are marked with red stars. The remaining data points are based on Si (see Table 6). GRB 080607 is indicated with a red square. The small circles and stars denote metallicity or gas-to-dust ratio upper limits. MW, LMC and SMC environments are denoted with blue diamonds from right to left.

In the text
thumbnail Fig. 10

Metals-to-dust ratio versus metallicity for the GRB sub-sample. The metallicities based on Zn are marked with red stars. The black circles represent Si-derived metallicity (see Table 6). GRB 080607 is marked by a red square. The small circles and stars illustrate metallicity or metals-to-dust ratio upper limits. MW, LMC and SMC environments are denoted with diamonds from right to left. The blue triangles correspond to four data points taken from Schady et al. (2010). The blue dashed line represents the best fit to the three Local Group environments and the four GRBs from Schady et al. (2010). The blue triangle with dotted error bars is GRB 050730 which is also included in both Schady et al. (2010) and our sample.

In the text
thumbnail Fig. A.1

Afterglow SEDs of the spectroscopic GRB sample in νFν and ν space. In each figure, we plot the best fit extinguished (solid lines) and extinction corrected spectral model (dashed lines). The grey curve represents the optical spectrum. The X-ray spectra are indicated by blue points. The black triangle corresponds to acquisition camera photometry used for scaling the SED. Black open circles are not included in the spectral fitting because of the optical spectrum wavelength coverage in that region while solid circles represent the data points included in the SED modeling. The red curve shows the best fit single power-law model and the green curve illustrates the broken power-law model.

In the text
thumbnail Fig. A.2

Absolute extinction curves of the spectroscopic GRB sample. The extinction curves are based on the best fit models given in Table 2. The grey curve represents the optical spectrum. The black triangles correspond to acquisition camera photometry used for scaling the afterglow SED. Black open circles are not included in the spectral fitting because of the optical spectrum wavelength coverage in that region while solid circles represents the photometric data points included in the SED modeling. The red solid curve corresponds to the best dust model for each GRB. Also shown are the Milky Way (green dashed line) and SMC (blue dotted line) extinction models taken from Pei (1992).

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.