SlideShare a Scribd company logo
1 of 11
Download to read offline
arXiv:1306.3949v2[astro-ph.CO]16Jul2013
Draft version July 17, 2013
Preprint typeset using LATEX style emulateapj v. 11/10/09
GRB 130606A as a Probe of the Intergalactic Medium and the Interstellar Medium in a
Star-forming Galaxy in the First Gyr After the Big Bang
Ryan Chornock1
, Edo Berger1
, Derek B. Fox2
, Ragnhild Lunnan1
, Maria R. Drout1
, Wen-fai Fong1
, Tanmoy
Laskar1
, and Katherine C. Roth3
Draft version July 17, 2013
ABSTRACT
We present high signal-to-noise ratio Gemini and MMT spectroscopy of the optical afterglow of
the gamma-ray burst (GRB) 130606A at redshift z=5.913, discovered by Swift. This is the first
high-redshift GRB afterglow to have spectra of comparable quality to those of z ≈ 6 quasars. The
data exhibit a smooth continuum at near-infrared wavelengths that is sharply cut off blueward of
8410 ˚A due to absorption from Lyα at redshift z ≈ 5.91, with some flux transmitted through the
Lyα forest between 7000−7800 ˚A. We use column densities inferred from metal absorption lines to
constrain the metallicity of the host galaxy between a lower limit of [Si/H] −1.7 and an upper limit
of [S/H] −0.5 set by the non-detection of S II absorption. We demonstrate consistency between the
dramatic evolution in the transmission fraction of Lyα seen in this spectrum over the redshift range
z = 4.9 to 5.85 with that previously measured from observations of high-redshift quasars. There is
an extended redshift interval of ∆z=0.12 in the Lyα forest at z=5.77 with no detected transmission,
leading to a 3σ upper limit on the mean Lyα transmission fraction of 0.2% (or τeff
GP(Lyα)>6.4). This
is comparable to the lowest-redshift Gunn-Peterson troughs found in quasar spectra. Some Lyβ and
Lyγ transmission is detected in this redshift window, indicating that it is not completely opaque, and
hence that the IGM is nonetheless mostly ionized at these redshifts. We set a 2σ upper limit of 0.11
on the neutral fraction of the IGM at the redshift of the GRB from the lack of a Lyα red damping
wing, assuming a model with a constant neutral density. GRB 130606A thus for the first time realizes
the promise of GRBs as probes of the first galaxies and cosmic reionization.
Subject headings: gamma-ray bursts: individual (GRB 130606A) — intergalactic medium — dark
ages, reionization, first stars — galaxies: abundances
1. INTRODUCTION
Observations of Gunn-Peterson absorption troughs
(Gunn & Peterson 1965) detected in the spectra of
quasars at redshifts z ≈ 6 (Becker et al. 2001) have been
interpreted as representing the end stages of the reion-
ization of the intergalactic medium (IGM; e.g., Fan et al.
2006b). However, the polarization of the cosmic mi-
crowave background radiation implies a higher typical
redshift for reionization (Hinshaw et al. 2012). These ob-
servations indicate that reionization was likely a complex
process that occurred over a range in cosmic times with
strong local variations. Long-duration gamma-ray bursts
(GRBs) are produced by the deaths of massive stars
(e.g., Woosley & Bloom 2006) and offer the promise of
being important probes of this process with their highly
luminous afterglows being detectable to large redshifts
(Lamb & Reichart 2000).
The most useful probe of the IGM opacity at high red-
shifts has been Lyα seen in absorption of quasars, but
quasars have some disadvantages as probes. At low red-
shift, quasar measurements can interpolate across ab-
sorptions in the Lyα forest, but at higher redshift the
continuum is so highly absorbed that the proper level has
1 Harvard-Smithsonian Center for Astrophysics,
60 Garden Street, Cambridge, MA 02138, USA;
rchornock@cfa.harvard.edu
2 Department of Astronomy and Astrophysics, Pennsylvania
State University, 525 Davey Laboratory, University Park, PA
16802, USA
3 Gemini Observatory, 670 North Aohoku Place, Hilo, HI
96720, USA
to be inferred. The smooth power-law spectra of GRB
afterglows are intrinsically much simpler than the com-
plicated spectra of quasars, which have emission lines
and sometimes broad absorption. Aside from practi-
cal matters, quasars may not be unbiased probes of the
high-redshift universe. The ultraviolet (UV) emission
from quasars ionizes the region around them through
the proximity effect. In addition, Mesinger (2010) has
argued that the highest-redshift quasars are hosted by
massive dark matter halos that are highly biased trac-
ers of the underlying matter distribution. Even ignor-
ing the ionizing radiation from the quasar, he finds that
typical high-redshift quasars are located in regions that
are overionized relative to the average due to the asso-
ciated large-scale structure. GRBs are associated with
sites of massive-star formation and will be more widely
distributed at high redshift in galaxies of lower masses
(Tanvir et al. 2012) than the rare massive black holes
needed to power the most luminous quasars.
There are now only three spectroscopically-confirmed
GRBs at z > 6 despite active follow-up efforts of
suspected high-z bursts: GRB 050904 at z=6.295
(Kawai et al. 2006; Haislip et al. 2006; Totani et al.
2006), GRB 080913 at z=6.733 (Greiner et al. 2009;
Patel et al. 2010), and GRB 090423 at z ≈ 8.2
(Tanvir et al. 2009; Salvaterra et al. 2009). In addi-
tion, GRB 090429B has a photometric redshift of ∼9.4
(Cucchiara et al. 2011). These objects have proven the
existence of GRBs at these early epochs, and are begin-
ning to demonstrate the application of GRBs to stud-
2 Chornock et al.
ies of star formation in the early universe (Tanvir et al.
2012). However, despite their promise as bright probes
(Lamb & Reichart 2000), high-z GRB afterglow studies
of the IGM to date (Totani et al. 2006; Gallerani et al.
2008; Patel et al. 2010) have been hindered by the lim-
ited signal-to-noise ratio (S/N) of the available spec-
tra. This has now changed with the discovery of
GRB 130606A and our follow-up observations.
The Swift Burst Alert Telescope (BAT) triggered on
GRB 130606A on 2013 June 6 at 21:04:39 (all dates
and times are UT; Ukwatta et al. 2013). The high-
energy emission was extended, with a duration of T90 =
277±19 s as seen by BAT (Barthelmy et al. 2013), firmly
establishing GRB 130606A as a member of the long-
duration population of GRBs. Subsequent ground-based
followup observations located an optical transient (e.g.,
Jelinek et al. 2013; Xu et al. 2013a) that was brighter
in the near-infrared (NIR; Nagayama 2013; Virgili et al.
2013). Initial spectroscopy from the Gran Telesco-
pio Canarias (Castro-Tirado et al. 2013a) revealed that
the afterglow redshift was z ≈ 6.1, which was subse-
quently refined to z = 5.913 by several groups, includ-
ing ours (Castro-Tirado et al. 2013b; Lunnan et al. 2013;
Xu et al. 2013b).
We present an analysis of the optical spectra of the
afterglow of GRB 130606A, the first high-redshift GRB
spectra to be comparable in quality to those of typical
z ≈ 6 quasars. In section 2, we describe the data acqui-
sition and reduction. We analyze the metal absorption
lines from the host galaxy and intervening IGM systems
in section 3, and set constraints on the abundances in the
ISM of the z = 5.913 host galaxy. In section 4, we mea-
sure the properties of the Lyα, Lyβ, and Lyγ absorption
of the IGM and compare to previous observations of high-
redshift quasars. We discuss the implications in section
5.
2. OBSERVATIONS
We observed the afterglow of GRB 130606A starting
at 04:04 on 2013 June 7 using the Blue Channel spec-
trograph (Schmidt et al. 1989) on the 6.5-m MMT. We
obtained a set of four 1200 s spectra as GRB 130606A
rose from airmass 1.22 to 1.08 with a midpoint time of
04:45 (∆t = 7.68 hr after the BAT trigger). The 832
lines/mm grating and LP530 order-blocking filter were
used to cover the range 7460−9360 ˚A. Our 1′′
-wide slit
gave a spectral resolution of 2.0 ˚A full width at half-
maximum (FWHM) and was oriented at the parallactic
angle (Filippenko 1982) to reduce effects of differential
atmospheric dispersion. We acquired the source by tak-
ing advantage of the excellent pointing of the MMT to
offset from a nearby bright star to the coordinates for
the afterglow rapidly distributed by Xu et al. (2013a).
These coordinates are somewhat offset from the precise
radio position given by Laskar et al. (2013), possibly in-
dicating that the object was not fully in the slit.
We subsequently obtained four 1800 s observations of
GRB 130606A using the Gemini Multi-Object Spectro-
graph (GMOS; Hook et al. 2004) on the 8-m Gemini-
North telescope, with a midpoint of 10:17 on 2013 June
7 (∆t = 13.1 hr). The spectra were obtained in nod-and-
shuffle mode (Glazebrook & Bland-Hawthorn 2001) with
the R400 grating and RG610 order-blocking filter. We
took advantage of the new red-sensitive deep depletion
detectors to use a grating setup with coverage longward
of 1µm. The excellent seeing (0.5−0.7′′
) over the course
of observations allowed us to have a spectral resolution of
∼5 ˚A over the observed spectral range of 6200−10500 ˚A.
The grating angle was adjusted by 50 ˚A between the sec-
ond and third observations to fill in CCD chip gaps. The
1′′
-wide slit was oriented at a position angle of 90◦
, but
the airmass was low (< 1.1).
We use IRAF4
to perform basic two-dimensional image
processing and extract the spectra after removal of cos-
mic rays (van Dokkum 2001). We apply flux calibrations
and correct for telluric absorption using our own IDL pro-
cedures. Two aspects of the GMOS data reduction re-
quire special attention. The first is that because Gemini
does not generally obtain standard stars at the time of
observations, the variable atmospheric H2O absorption
strength can lead to errors in the correction for telluric
absorption in the strong band near 9400 ˚A. We obtain
archival observations of the standard star BD+28 4211
and are careful to scale the H2O portion of the telluric
correction separately from the correction at the O2 ab-
sorption bands.
The second effect is that the Gemini data were taken
in nod-and-shuffle mode. We reduce the Gemini data
with two methods, once after applying the expected pair-
wise subtraction of the data from the two nod positions
and once ignoring the nod pairs and treating each spec-
trum as a normal long-slit observation. The first method
leads to better control of systematic sky subtraction er-
rors produced by flat fielding errors and bright night sky
emission lines, but comes at a cost of a factor of
√
2 in-
crease in the Poisson errors in night sky dominated por-
tions of the spectrum. In both cases, we align and stack
the two-dimensional frames taken with the same grating
tilt angle prior to spectral extraction. The two reduc-
tions are highly consistent, so we splice them together at
8780 ˚A, using the second method at shorter wavelengths
to obtain the best S/N, while the nod-and-shuffle reduc-
tion was used at longer wavelengths where the systematic
residuals from sky subtraction are otherwise problematic.
We rebinned the calibrated one-dimensional spectra for
each GMOS grating setup to a common vacuum helio-
centric wavelength scale and combined them on a pixel-
by-pixel basis, weighted by the inverse variance5
. The
final MMT and GMOS spectra are plotted in Figure 1.
The absolute flux scale is uncertain, both due to our use
of an archival standard star at Gemini and the fading of
the afterglow that is clearly evident during the observa-
tions. Both spectra have been corrected for E(B − V ) =
0.02 mag of Galactic extinction (Schlafly & Finkbeiner
2011). In the continuum between 8500 and 8600 ˚A, the
MMT spectrum has a median S/N per 0.71 ˚A pixel of
∼10, while for the Gemini data the median S/N per
1.38 ˚A pixel is ∼80 and decreasing to longer wavelengths.
Before proceeding further, we normalize the spectra by
fitting a power-law continuum to wavelength intervals in
4 IRAF is distributed by the National Optical Astronomy Ob-
servatories, which are operated by the Association of Universities
for Research in Astronomy, Inc., under cooperative agreement with
the National Science Foundation.
5 We note that the sky is sufficiently bright that we are not in the
regime pointed out by White et al. (2003) where Poisson weighting
biases the resulting flux level near zero counts.
GRB 130606A at z = 5.913 3
7000 8000 9000 10000
Observed Wavelength (Å)
0
1
2
3
4
5
6
Flux(fλ,10−17
ergcm−2
s−1
Å−1
)
GRB 130606A
Gemini
MMT
Figure 1. Spectra of the optical afterglow of GRB 130606A
from MMT/Blue Channel (green) and Gemini-N/GMOS (black),
demonstrating impressive consistency after application of an ar-
bitrary multiplicative scale factor. The noisier MMT spectrum
has been binned up by a factor of 6 for display purposes. The
solid red line shows a best-fit power law to line-free regions of the
continuum. The two dashed red lines show hypothetical extreme
systematic variations around the best-fit value. See Section 4.1 for
details.
the Gemini spectrum redward of the Lyα break devoid of
strong absorption lines. The best-fit continuum is shown
as the thick red line and has a slope of fλ∝λ−0.01±0.04
,
although some curvature relative to a pure power law is
evident. We divide both spectra by this continuum in all
subsequent analysis.
3. ISM PROPERTIES OF A STAR-FORMING GALAXY AT
z=5.913
The two spectra from different instruments presented
in Figure 1 are highly consistent with each other. Both
show a flat continuum (in fλ) at long wavelengths that
drops sharply down to zero between 8435 and 8405 ˚A;
flux detected blueward of 8405 ˚A is largely limited to
wavelength intervals between 6500 and 7850 ˚A. This is
indicative of absorption induced by the host galaxy at
redshift z ≈ 5.91 and the Lyα forest at lower redshift.
The normalized GMOS spectrum, displayed in Fig-
ure 2, exhibits numerous absorption lines redward of Lyα
that arise in the host galaxy and intervening systems. We
fit a local continuum and single Gaussian profile to each
absorption line in both the Gemini and MMT spectra
and list the results in Table 1. The quoted uncertainties
in line centroids and equivalent widths (EW) do not in-
clude continuum placement uncertainties. We are able
to confidently detect N V, Si II, Si II*, O I, O I*, C II,
C II*, and Si IV from the host galaxy, as well as the red
wing of Lyα absorption at a similar redshift. A weighted
average of the narrow, unblended, low-ionization lines
gives a redshift for GRB 130606A of z = 5.9134, a value
which we adopt throughout this paper. The presence of
fine-structure lines at this redshift identifies it as that of
the GRB because the lower levels for these transitions
are not normally populated unless pumped by the UV
emission from the GRB afterglow (Prochaska et al. 2006;
Vreeswijk et al. 2007).
In addition to absorption from the interstellar medium
(ISM) of the host galaxy, we detect absorption from at
least four intervening lower-redshift systems. Xu et al.
(2013b) previously reported two absorption systems at
z = 2.310 and 3.451 in X-Shooter spectra. We con-
firm the existence of the first one through absorption
from Mg II and Fe II at an average redshift of z =
2.3105 ± 0.0001. We do not see the system at z = 3.451,
although no strong absorption lines from it are expected
in our observed wavelength range. In addition, we de-
tect at least three more intervening systems, at weighted
average redshifts of z = 2.5207 ± 0.0005, 4.647±0.001,
and 5.806±0.001. The z=5.806 O I/C II/Si II system
is particularly interesting in light of recent observational
work to find similar systems at these redshifts to probe
metal enrichment of the IGM associated with reioniza-
tion (Becker et al. 2011). We note that C IV λ1548 from
the z=4.647 system completely overlaps the Si II* λ1265
absorption from the host and that weak Fe II λ2586 at
z=2.3105 is also likely blended with N V λ1239.
One important advantage of the MMT data is that
the host absorption lines are generally resolved, while
the IGM metal lines are not. We show some unblended
line profiles in Figure 3. The Fe II and Si II lines
from lower-redshift absorbers have FWHMs consistent
with the spectral resolution of ∼2 ˚A. However, the host
Si II λ1260 absorption has a FWHM equivalent to ∼120
km s−1
after subtraction of the instrumental width in
quadrature. Most of the host absorption lines appear to
be consistent with a single absorption component, but
the N V lines are both blueshifted relative to the low-
ionization lines and have flat-bottomed profiles. They
exhibit absorption spread across ∼200 km s−1
, which is
unusually broad for N V absorption in GRB afterglows
(Prochaska et al. 2008). The Gemini data cannot clearly
resolve these features although some variation in FWHM
is apparent. In particular, the Si IV doublet shows some
structure, with the stronger λ1394 line exhibiting a blue
wing extending out to a blueshift of ∼300 km s−1
. The
N V and Si IV profiles probably reflect absorption in a
wind or outflow from the host galaxy.
The sharp cutoff of flux between 1215 and 1220 ˚A
due to the wing of Lyα absorption in the host is indica-
tive of a low hydrogen column density (log(NHI)< 20.3;
all reported columns are in units of cm−2
) in the host
galaxy. A fit to the hydrogen column in the GMOS
spectrum gives a best fit redshift of z=5.913±0.001, in
excellent agreement with the results from the narrow
metal lines, and log(NHI)=19.93±0.07, which we adopt
in the subsequent analysis. A fit to the MMT spec-
trum with the redshift fixed gives a consistent value of
log(NHI)=19.99. This value is rather low for a GRB host
galaxy (Jakobsson et al. 2006), as it falls below the cut-
off of log(NHI)=20.3 for a damped Lyα system (DLA).
In the compilation of hydrogen column measurements
of z > 4 GRB host galaxies presented by Th¨one et al.
(2013), only 1 out of 12 objects (GRB 080913) has a
lower log(NHI) of 19.84 (Greiner et al. 2009; Patel et al.
2010).
We set a lower limit to the metallicity by converting
our absorption line measurements into column densities
of the metal ions. In the optically-thin limit, the column
NX of a given ion is given by
log(NX) = 1.23 × 1020
cm−2 EWr(˚A)
λr(˚A)2fij
, (1)
where λr and EWr are the wavelength and equivalent
width of the transition in the rest frame, respectively,
while fij is the oscillator strength. We use the atomic
data collected by Prochaska et al. (2007), and report the
results in the rightmost column of Table 1.
4 Chornock et al.
1200 1250 1300 1350 1400 1450
Rest Wavelength (Å)
0.0
0.5
1.0
1.5
NormalizedFlux(fλ)
8500 9000 9500 10000
Observed Wavelength (Å)
⊕
log(NHI)
= 19.93
N V
Si II/Si II*
O I/Si II/O I*
C II/C II*
Si IV
GRB 130606A at z=5.9134
C IIO ISi II (z=5.806)
Si II C IV Al II(z=4.647)
Fe II Mg II(z=2.5207)
Fe II Mg II(z=2.3105)
Figure 2. GMOS spectrum of GRB 130606A with prominent absorption lines labeled. Red lines and text identify absorption from the
host galaxy at z = 5.913. The green dashed line marks a fit to the Lyα line at this redshift, with log(NHI) =19.93. The dramatic cutoff in
flux at λ<1200 ˚A caused by Lyα at lower redshift is also apparent. At least four intervening absorption systems are present at lower redshift
and are labeled in different colors with their redshifts identified. The gray box with the ⊕ symbol marks the region possibly containing
residuals from the correction for telluric H2O absorption. The gray line at the bottom is the error spectrum.
−200−100 0 100 200
Velocity (km s−1
)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
NormalizedFlux
IGM
z=4.647
Si II λ1527
−200−100 0 100 200
Velocity (km s−1
)
Host
z=5.9134
Si II λ1260
−200−100 0 100 200
Velocity (km s−1
)
z=5.9134
NV λλ1239,1243
Figure 3. Absorption line profiles in our MMT spectrum. The left
panel shows unresolved Si II λ1527 absorption from a foreground
absorber (FWHM≈67 km s−1). The middle panel shows the
Si II λ1260 absorption from the host, with intrinsic FWHM≈120
km s−1. The right panel shows the blueshifted and broader N V
doublet absorption from the host, with the λ1243 profile shifted
downward by 0.4 units. N V λ1239 is possibly blended with Fe II
λ2586 from the z=2.3105 foreground absorber, but the profile is
fairly consistent with the unblended λ1243.
The numbers we present are lower limits to the column
density because we make the assumption that all lines are
optically thin. This is clearly wrong for the deep Si IV
doublet and may be in error for other transitions as well
(e.g., the Si II λ1260 profile in Figure 3). High-resolution
spectroscopy of GRB afterglows has revealed that the
line profiles can have deep saturated cores on top of ab-
sorption from lower columns. These saturation effects
lead to systematic biases in metallicity measurements for
GRB hosts (Prochaska 2006), but the errors incurred are
in the direction of making the observed columns too low.
We can also take some confidence from the fact that our
inferred columns are completely consistent between the
GMOS data and the MMT data, which have a factor ∼3
higher spectral resolution. In fact, our MMT resolution
is R = λ/∆λ ≈ 4500, approaching the moderate resolu-
tion of spectrographs such as ESI at Keck or X-Shooter
at VLT. In addition, ionization and dust depletion ef-
fects can cause us to underestimate the column densities
of some elements.
With those caveats in mind, we use the derived
columns in Table 1, our value for log(NHI) from the
fit to the wing of Lyα absorption, and the solar photo-
spheric abundances of Asplund et al. (2009) to constrain
the metallicity of the host galaxy of GRB 130606A. High-
ionization species such as Si IV and N V are not useful
for a metallicity analysis as they trace more heavily ion-
ized gas that may not contribute to log(NHI), as well as
in this case having clearly different velocity distributions
from the narrow lines (as described above). This leaves
O I, C II, and Si II as possible tracers, in addition to their
excited fine-structure transitions. In the MMT data, we
measure [O/H]≈−2.0 for O I λ1302 only. The Gemini
spectrum has a similar O I column, but also exhibits ab-
sorption6
from O I*. The combined oxygen abundance
6 This line is blended with Si II λ1304, but we ascribe it com-
GRB 130606A at z = 5.913 5
Table 1
Absorption Lines in GRB 130606A Spectra
λobs (˚A) Line ID λrest (˚A) Redshift EWr (˚A)a log(NX, cm−2)b
MMT spectrum
8562.44±0.32 N V 1238.82 5.9118±0.0003 0.37±0.06 14.24±0.07
8590.87±0.41 N V 1242.80 5.9125±0.0003 0.26±0.07 14.39±0.11
8607.94±0.16 Fe II 2600.17 2.3105±0.0001 0.21±0.07 13.16±0.14
8620.67±0.19 Si II 1526.71 4.6466±0.0001 0.23±0.07 13.94±0.13
8703.00±0.42 Unknownc · · · · · · 0.76±0.36 · · ·
8713.65±0.15 Si II 1260.42 5.9133±0.0001 0.50±0.06 13.55±0.05
8744.28±0.32 Si II*d 1264.74 5.9139±0.0003 0.59±0.08 13.67±0.06
· · · +C IVd 1548.20 (4.647)
8759.56±1.05 C IV 1550.77 4.6485±0.0007 0.36±0.13 14.25±0.16
9002.73±0.34 O I 1302.17 5.9136±0.0003 0.32±0.12 14.64±0.16
Gemini spectrum
8563.33±0.05 N V 1238.82 5.9125±0.0001 0.38±0.01 14.25±0.01
8580.07±0.40 Si II 1260.42 5.8073±0.0003 0.05±0.01 12.53±0.10
8590.94±0.12 N V 1242.80 5.9125±0.0001 0.21±0.01 14.30±0.02
8608.02±0.13 Fe II 2600.17 2.3106±0.0001 0.23±0.02 13.21±0.04
8621.13±0.10 Si II 1526.71 4.6469±0.0001 0.24±0.02 13.97±0.03
· · · S II 1250.58 (5.9134) 0.04e 14.7
· · · S II 1253.81 (5.9134) 0.05 14.6
8703.51±0.40 Unknownc · · · · · · 0.44±0.09 · · ·
8714.09±0.04 Si II 1260.42 5.9136±0.0001 0.43±0.01 13.48±0.01
8744.31±0.05 Si II*d 1264.74 5.9139±0.0001 0.60±0.01 13.67±0.01
· · · +C IVd 1548.20 (4.647)
8759.78±0.28 C IV 1550.77 4.6487±0.0002 0.29±0.03 14.15±0.04
8862.76±0.47 O I 1302.17 5.8062±0.0004 0.10±0.02 14.12±0.09
9003.10±0.19 O I 1302.17 5.9139±0.0001 0.22±0.03 14.47±0.05
9020.18±0.31 O I*d 1304.86 5.9127±0.0002 0.12±0.02 14.25±0.08
· · · +Si IId 1304.37 (5.9134)
9082.33±0.29 C II 1334.53 5.8056±0.0002 0.08±0.02 13.62±0.10
9103.74±0.64 Fe II 2586.65 2.5195±0.0002 0.10±0.04 13.40±0.17
9153.45±0.33 Fe II 2600.17 2.5203±0.0001 0.24±0.04 13.23±0.07
9225.28±0.11 C II 1334.53 5.9127±0.0001 0.35±0.02 14.24±0.03
9234.04±0.42 C II* 1335.71 5.9132±0.0003 0.18±0.03 14.01±0.07
9257.06±0.11 Mg II 2796.35 2.3104±0.0001 0.66±0.04 13.19±0.03
9281.16±0.16 Mg II 2803.53 2.3105±0.0001 0.41±0.04 13.28±0.04
9433.75±0.17 Al II 1670.79 4.6463±0.0001 0.27±0.03 12.76±0.05
9635.33±0.07 Si IV 1393.76 5.9132±0.0001 1.05±0.03 14.06±0.01
9698.09±0.10 Si IV 1402.77 5.9135±0.0001 0.86±0.04 14.27±0.02
9845.29±0.15 Mg II 2796.35 2.5208±0.0001 0.65±0.06 13.18±0.04
9870.25±0.62 Mg II 2803.53 2.5206±0.0002 0.44±0.11 13.31±0.11
a Rest frame
b Lower limit due to optically-thin assumption
c EW for unidentified lines are in observer frame
d Redshifts and column densities are estimated assuming that the stronger component of blend
dominates
e Upper limits are 3σ
in those data is [O/H]≈−1.95. The formal uncertain-
ties for these abundance measurements are ∼0.1 dex, but
the systematic errors clearly dominate. Adding the C II
and C II* columns from GMOS gives a similar value of
[C/H]≈−1.9. Determining the silicon column is a little
more challenging. The foreground C IV λ1548 absorp-
tion coincides with the strongest Si II* absorption line.
We correct the Si II* λ1265 observed-frame EW value
for C IV by subtracting an observed-frame EW of λ1548
equal to that measured for λ1551 and recalculate the col-
umn. The exact correction factor has only a small effect
on the final result. Combining the Si II and corrected
Si II* columns gives a consistent estimate of [Si/H]≈−1.7
in both the MMT and Gemini spectra.
pletely to O I*, which is more consistent with the central wave-
length of the absorption line.
As described before, our measurements are all lower
limits because of dust depletion and the lack of con-
straints on other ionization stages of the same elements.
However, we can also set an upper limit on the metal-
licity from the non-detection of S II lines. Sulfur has
proven useful in previous studies of GRB host galaxies at
high redshift (e.g., Kawai et al. 2006; Berger et al. 2006;
Price et al. 2007) because the weak S II lines near 1250 ˚A
are not likely to be saturated and sulfur does not deplete
onto dust grains (Savage & Sembach 1996). An uniden-
tified absorption line near 8703 ˚A in the blue wing of Si II
λ1260 is near the expected position of S II λ1259.52 at
the redshift of GRB 130606A, but formally the centroid
is more than 10σ away from the correct wavelength, so
we regard it as a non-detection. In addition, an implied
S II column that large should also produce λ1254 absorp-
tion that is not observed. We estimate observed-frame
6 Chornock et al.
0 1 2 3 4 5 6 7
−2.5
−2
−1.5
−1
−0.5
0
SII
OI+OI*
CII+CII*
SiII+SiII*
QSO−DLAs
GRB−DLAs
Field galaxies
130606A
Redshift
[M/H]
Figure 4. Abundance estimates for the host of GRB 130606A
compared to DLA systems in both GRB host galaxies and quasars
(Rafelski et al. 2012; Th¨one et al. 2013). The brown boxes repre-
sent the range in metallicity for star-forming 109−1011 M⊙ galaxies
at z ≈ 2.3 (Erb et al. 2006) and z ≈ 3.1 (Mannucci et al. 2009).
These results unavoidably conflate measurements using a number
of different tracers (e.g., oxygen emission lines in the the field galax-
ies and metal absorption lines in the DLA samples).
EW 3σ upper limits of ∼0.3 ˚A for any absorption line
near S II λλ1250, 1254. These translate into an upper
limit on the metallicity of [S/H] −0.5.
We compare these metallicity contraints for
GRB 130606A to abundance measurements for DLA
systems in both GRB host galaxies (Th¨one et al. 2013)
and quasar absorption systems (Rafelski et al. 2012)
in Figure 4. We also show the ranges reported in
star-forming field galaxy samples in the mass range of
109
−1011
M⊙ at two different redshifts of z ≈ 2.3 and
z ≈ 3.1 (Erb et al. 2006; Mannucci et al. 2009). The
metallicity range for GRB 130606A is at the low end of
the dispersion in field galaxy samples at lower redshift,
but comparable to the GRB DLA sample.
The point in Figure 4 at z = 6.295 from GRB 050904
(Kawai et al. 2006) is of special interest because it repre-
sents the most complete abundance analysis of a galaxy
at a redshift comparable to GRB 130606A. Kawai et al.
(2006) measured the abundance pattern using the ex-
act same lines we use here, except that they detect the
S II lines, so systematic issues due to different tracers
are minimized. They found [C/H]≈−2.4, [O/H]≈−2.3,
[Si/H]≈−2.6, and [S/H]≈−1.0. In comparison with
our results from above, the individual numbers are all
∼0.5 dex higher in the host of GRB 130606A than in
that of GRB 050904, likely indicating a metallicity dif-
ference of about that magnitude with a similar depletion
pattern. It is interesting to note that even at these high
redshifts, the ISMs of these star-forming galaxies show
clear evidence of chemical enrichment.
4. OPACITY OF THE IGM AT z ≈ 5 − 6
The spectra we present in Figures 1 and 2 exhibit a
well-detected NIR continuum that drops to near zero at
8400 ˚A, but then slowly rises to a peak near 7100 ˚A before
turning over and dropping off blueward of that. This
continuum slope in the absorbed part of the spectrum
represents real evolution in the optical depth of the Lyα
forest over the redshift range 5 < z < 6. The very high
S/N of our data allow us to place constraints on the
opacity of the IGM to Lyα that are comparable to those
from individual high-redshift quasars.
We divide our GMOS spectrum by the best-fit contin-
uum marked on Figure 1 and then display the spectrum
in Figure 5 with the wavelength scale converted to red-
shift relative to Lyα, Lyβ, and Lyγ. The transmitted flux
is clearly broken up into a “picket fence” of individual
windows of transmission through the Lyα forest. These
windows are rare at z ≈ 5.8, but become increasingly
common at lower redshift until at z < 5 they start to
overlap. Figure 1 demonstrates the consistency of these
windows of transmission in two spectra of different reso-
lutions.
Comparison of the three Lyman-series transitions
shows that the pattern of transmission windows is gen-
erally the same over the limited overlap region, with
the weaker higher-order lines having greater transmis-
sion than Lyα, as expected. There are two interesting
exceptions. The first is that there is a weak window of
transmission present near z ≈ 5.803 in both Lyβ and
Lyγ, but not Lyα, in a redshift interval that is otherwise
fairly dark. This is intriguingly close to the redshift of the
z=5.806 system that we detect in metal lines, indicating
a moderate local increase in ionization (but not enough
for Lyα to become transparent) correlated with the same
large scale structure hosting the absorber. Spatial cor-
relations between metal enrichment and ionization are
predicted to be sensitive probes of the reionization pro-
cess and the pollution of the IGM by the earliest galaxies
(Oh 2002; Furlanetto & Loeb 2003; Becker et al. 2011).
Second, there is a clear transmission window present in
both Lyα and Lyγ between z=5.69−5.70 that is missing
from Lyβ. Although this region falls squarely in the at-
mospheric B band, the spectrum has been corrected for
telluric absorption and some flux might be expected to
be detected in data of this quality. Instead, we note that
the Lyα absorption associated with the z = 4.647 system
we detect in metal lines would lie at exactly this redshift
relative to Lyβ. This serves as a cautionary reminder
that some absorption we attribute to the Lyman series
can be due to either metal lines or Lyα at lower redshift.
We now compare the transmission along the line of
sight to this high-redshift GRB with previous studies
using high-redshift quasars as background light sources.
Songaila (2004) used high-quality moderate and high-
resolution Keck spectra of a sample of quasars to measure
the mean transmission of Lyα. She computed the average
transmission in 15 ˚A bins in the rest frame of each quasar
between 1080 and 1185 ˚A (limits chosen to avoid Lyβ and
Lyα proximity effects from each quasar) and measured
the mean and its variation along different lines of sight.
The thick solid line in Figure 6 marks the mean transmis-
sion measured from the quasars and the thick gray band
marks the observed minimum and maximum values in
her sample. We measure the transmission in wavelength
bins of the same size over the interval 1035−1200 ˚A. The
low log(NHI) of the host of GRB 130606A allows us to
measure the IGM opacity as close to the host redshift as
1200 ˚A without interference from the blue wing of Lyα
(cf. Figure 2). The red boxes in Figure 6 mark our mea-
surements. The formal error bars are far smaller than the
GRB 130606A at z = 5.913 7
5.0 5.2 5.4 5.6 5.8 6.0
Absorption Redshift
0.0
0.1
0.2
0.3
0.4
0.5
0.6
TransmissionFraction
⊕
Lyα
Lyβ⊕
Lyγ
Figure 5. Transmission fraction of Lyman-series transitions versus redshift. The spectrum corresponding to Lyβ has been shifted upward
by 0.2 and that of Lyγ by 0.4, with the horizontal dashed lines marking the new zero levels. The red, green, and blue lines represent the
1σ uncertainties about zero. The gray bars with ⊕ symbols on the Lyα and Lyβ spectra represent regions possibly affected by imperfect
correction for telluric absorption from the A and B bands, respectively. The black bar from z = 5.725 − 5.79 marks the longest dark trough
present in Lyα. The vertical dashed line at z = 5.9134 marks the inferred redshift of the host galaxy from metal lines.
4.5 5.0 5.5 6.0
Redshift
0.001
0.010
0.100
1.000
LyαTransmittedFraction
Songaila 2004
GRB 130606A
Figure 6. Transmission fraction of Lyα in 15 ˚A bins from
1035−1200 ˚A (in the rest frame of GRB 130606A). The thick black
line marks the mean values determined by Songaila (2004) with the
gray region marking the range of observed values. The plotted up-
per limit is 3σ.
plotted symbols. The strong fluctuations in our measure-
ments above and below the mean of the quasars are due
to real cosmic variance caused by large-scale structure in
the Lyα forest.
We convert our transmission measurements into an ef-
fective optical depth following the definition of Fan et al.
(2006b) that
τeff
GP = − ln(T ), (2)
where T is the average transmission relative to the con-
tinuum. This is only an effective rather than true opti-
cal depth because transmission in a clumpy IGM with
variable density and ionization is dominated by low-
density regions (Songaila & Cowie 2002; Fan et al. 2002;
Oh & Furlanetto 2005). We compute this τeff
GP(Lyα) in
bins of size ∆z=0.15 relative to Lyα to facilitate direct
comparison with the compilation of results from high-
redshift quasars of Fan et al. (2006b). In addition, we
compute the same statistic for Lyγ and Lyβ in one and
two bins, respectively. We use the same statistical correc-
tion as Fan et al. (2006b) for foreground Lyα absorption
and the same conversion factors to determine τeff
GP(Lyα)
from τeff
GP(Lyβ) and τeff
GP(Lyγ), so our results are calcu-
lated as consistently as possible with the quasar data.
We show the points from GRB 130606A in Figure 7 and
report the numbers in Table 2.
The data points from the GRB 130606A line of sight
are generally consistent with the evolution of τeff
GP(Lyα)
seen along the quasar sight lines and fall within the ob-
served range of variation, although our highest redshift
bin has an optical depth on the high side relative to
the quasar measurements. Our single Lyγ point, cov-
ering z=5.70−5.85, is the first using that tracer at z < 6
and implies a substantially higher τeff
GP(Lyα)=12.5 than
that measured from Lyα or Lyβ. This was also seen
by Fan et al. (2006b) at z > 6 in a very limited num-
ber of sightlines. Lyγ measurements in the quasars are
made difficult by the necessity of avoiding Lyδ at the blue
end of the spectral window and the quasar’s proximity
zone at the red end. The interpretation of differences
in τeff
GP determined from multiple proxies is complicated
because the differing strengths of the transitions makes
them differently sensitive to inhomogeneity in the IGM
and requires comparison to numerical simulations. Re-
cent work has focused on the statistics of dark pixels
in the Lyα forest as a probe of the neutral fraction in
the high-redshift universe to avoid dependence on mod-
els (McGreer et al. 2011). Fan et al. (2006b) emphasized
that the quasar data at z > 5.5 show an acceleration in
the evolution of the effective optical depth with redshift
8 Chornock et al.
4.0 4.5 5.0 5.5 6.0
Redshift
0
1
2
3
4
5
6
7
τGP
eff
(Lyα)
Becker et al (2013)
Fan et al. (2006)
GRB 130606A (Lyα)
GRB 130606A (Lyβ)
Figure 7. The effective optical depth to Lyα, τeff
GP(Lyα), com-
puted in bins of width ∆z = 0.15 in both Lyα and Lyβ. Our
estimate of τeff
GP from the Lyγ absorption in the highest-redshift
bin (z=5.775) is 12.5 and thus off the scale of the rest of the
points on the plot. The error bars were computed from the ex-
treme “Low” and “High” continuum models discussed in section
4.1 and represent bounds on the systematic uncertainties. The
statistical errors are smaller than the plotted data points. The
comparison points were measured in Lyα absorption of individual
high-redshift quasars from Fan et al. (2006b) and a large sample
of lower-redshift quasars from Becker et al. (2013).
relative to a power law extrapolation from data at lower
redshifts (Songaila 2004; Becker et al. 2013), and that
the scatter increases with redshift, possibly indicating
that the tail end of reionization was a patchy process.
The interpretation that there is an observed change in
slope of τeff
GP associated with late reionization has been
challenged by other studies (e.g., Becker et al. 2007).
4.1. Uncertainties
We now consider the sources of uncertainty in these
optical depth measurements. We do not list formal error
bars in Table 2 because the statistical errors are com-
pletely negligible and dominated by systematics. To
demonstrate this point, we note that the median error
bar per 1.38 ˚A spectral pixel in the GMOS data between
zLyα of 5 and 6 is 0.8% of the unabsorbed continuum.
The large redshift bins we use to compare to the results of
Songaila (2004) and Fan et al. (2006b) then average over
many such pixels (∆z=0.15 is ∼132 pixels). Another
check on our errors is to compare our two independent
spectra from different instruments. Results from both
MMT and GMOS are given in Table 2 and are mostly
similar, except for the darkest part of the Lyα absorp-
tion between redshifts 5.7 and 5.8, where the MMT data
show more transmission. This is caused by the extra
bit of flux visible near 8150 ˚A in Figure 1. This effect
was caused by inadequate flat fielding and removal of the
slit function in the MMT data leading to uneven back-
ground levels along the slit. It results in a slight excess of
flux per pixel after background subtraction that is only
visible near zero flux levels when the data are binned
up. The exact amount of this positive flux was found to
vary depending the exact background apertures chosen.
We trust the GMOS data much more due to their sig-
nificantly higher S/N and our ability to check with the
nod-and-shuffle reduction, which has much better control
over the flat-fielding and sky subtraction uncertainties at
flux levels near zero.
Our results are presented as transmission fractions,
so we also need to examine our assumptions about the
proper level of the unabsorbed continuum. We have been
using our best-fit power law so far in this analysis. In
section 2, we noted that the continuum did appear to be
curved relative to a single power law. Multiband photom-
etry extending to the NIR reported by the RATIR and
GROND collaborations (Butler et al. 2013; Afonso et al.
2013) implies a bluer power law than the flatter contin-
uum we have fit to our data over a more limited wave-
length range. These observations can easily be recon-
ciled by a small amount of dust producing curvature in
the spectral energy distribution given that our observa-
tions are at rest-frame wavelengths <1450 ˚A. However,
we will demonstrate that our results are robust for any
reasonable value for the true shape of the continuum.
We show two extreme hypothetical alternative contin-
uum shapes in Figure 1 as dashed lines. All assumed
continuum shapes have to be constrained to pass near
the actual observed continuum near 8650 ˚A. In addition,
there is a peak in the IGM transmission near 7150 ˚A that
the true unabsorbed continuum must pass above, which
sets a limit on how red the continuum can be. This
power-law slope is shown by the lower dashed line on the
figure. As a maximally blue model, we take a power law
with a slope as different from the best fit model as the
maximally red one, but in the opposite direction from
the best fit, and also constrain it to match the data near
8650 ˚A. We normalize the GMOS data by both of these
extreme models and computed the transmission fraction
in the same redshift bins as above. We list the results
with these alternative continuum normalizations (called
“Low” and “High”) for two redshift bins in Table 2. Even
in our bluest bins, at z ≈ 5, the difference in τeff
GP(Lyα)
is only ∼0.1. At higher redshift, closer in wavelength
to where the continua are normalized, the effect is even
smaller. In part, this is because τeff
GP depends only loga-
rithmically on the continuum normalization. We empha-
size that these alternative normalizations are far larger
than anything motivated by the data and yet they do not
materially affect the results. The maximal effects on the
GRB 130606A data points in Figures 6 and 7 induced
by these choices of continuum slope are smaller than the
points on the plots.
We conclude that the uncertainties in our optical depth
measurements are negligible compared to the dominant
systematics in interpretation caused by theoretical un-
certainties and cosmic variance along different lines of
sight. In particular, these measurements would benefit
from an improved theoretical understanding of the dif-
ferences between τeff
GP(Lyα) measured from the different
Lyman series lines.
4.2. Dark GP Trough
We examine our spectra for continuous regions of
extremely high opacity and find that there is no de-
tectable Lyα transmission in the redshift range of
z=5.71−5.83, with a 3σ upper limit of TLyα 0.2%,
or τeff
GP(Lyα)>6.4. This is comparable in width and
optical depth to the lowest-redshift Gunn-Peterson
(Gunn & Peterson 1965) troughs previously claimed,
GRB 130606A at z = 5.913 9
Table 2
GRB 130606A Lyα Transmission
Redshift Range Line Spectruma Continuumb Transmission τeff
GP(Lyα)
4.86−4.95c Lyα G BF 0.406 0.90
4.95−5.10 Lyα G BF 0.089 2.41
4.95−5.10 Lyα G L 0.099 2.31
4.95−5.10 Lyα G H 0.084 2.48
5.10−5.25 Lyα G BF 0.100 2.30
5.13−5.25d Lyα M BF 0.109 2.22
5.25−5.40 Lyα G BF 0.168 1.78
5.25−5.40 Lyα M BF 0.164 1.81
5.40−5.55 Lyα G BF 0.079 2.54
5.40−5.55 Lyα M BF 0.081 2.52
5.55−5.70 Lyα G BF 0.022 3.80
5.55−5.70 Lyα M BF 0.021 3.88
5.55−5.70 Lyβ G BF 0.228 3.33
5.70−5.85 Lyα G BF 0.005 5.29
5.70−5.85 Lyα G L 0.005 5.24
5.70−5.85 Lyα G H 0.005 5.29
5.70−5.85 Lyα M BF 0.016 4.13
5.70−5.85 Lyβ G BF 0.074 5.85
5.70−5.85 Lyγ G BF 0.059 12.5
Darkest trough
5.71−5.83 Lyα G BF 0.0017 6.36
5.71−5.83 Lyβ G BF 0.062 6.22
5.71−5.83 Lyγ G BF 0.026 13.0
5.725−5.79 Lyα G BF 0.0022 6.13
5.725−5.79 Lyβ G BF 0.019 8.86
5.725−5.79 Lyγ G BF 0.023 16.6
a G=Gemini, M=MMT
b Continuum normalization: BF= Best fit, L = Low, H=High
c Lower redshift limit truncated to avoid Lyβ absorption from host
d Lower redshift limit set by spectral range
which were identified by Fan et al. (2006b) in the quasars
SDSS J104845.05+463718.3 (Fan et al. 2003) and SDSS
J125051.93+313021.9 (Fan et al. 2006a). However, there
are clear spikes of Lyβ transmission at the ends of this
redshift interval, including the interesting peak near
z=5.803 noted previously to be almost coincident in red-
shift with a foreground absorber, so we also define a nar-
rower redshift range of z=5.725−5.79 to isolate the dark-
est part of the trough. This more restricted interval is
the one marked with a black bar on Figure 5. The T and
τeff
GP(Lyα) measurements for these two interval definitions
are tabulated in Table 2.
Despite the lack of detectable Lyα, some flux is present
in the Lyβ and Lyγ windows, indicating that the redshift
interval is far from opaque and still highly ionized. The
transmission of Lyγ over the core redshift range implies
that τeff
GP(Lyα) is ∼17.
4.3. Neutral fraction in the IGM
The afterglow spectra of GRBs can also be used to
probe the neutral fraction of the IGM (Miralda-Escude
1998; Barkana & Loeb 2004). If a high-redshift GRB oc-
curs when the universe still contains a substantial frac-
tion of neutral hydrogen, the red damping wing of this
material will affect the shape of the cutoff in flux at Lyα.
Totani et al. (2006) have searched for such an effect in
the spectrum of the z=6.295 GRB 050904 and found a
best fit consistent with zero neutral hydrogen, although
their analysis was hampered by the strong DLA of the
host galaxy. Patel et al. (2010) have also performed an
analysis on the z=6.733 GRB 080913 and again found a
null result. The much lower log(NHI) we determine here
than for GRB 050904 and the higher S/N of our data rel-
ative to the spectrum of GRB 080913 allow us a cleaner
test, although the neutral fraction is not expected to be
sufficiently high to be detectable at this lower redshift
given the limits on Lyα opacity discussed above.
We use the approximations of Miralda-Escude (1998)
to model the IGM neutral density as a constant over the
redshift range of interest. A pure IGM fit to the Lyα
cutoff in the GMOS spectrum is a significantly worse fit
than the single absorber model from Section 3. In addi-
tion, minima in the Lyβ and Lyγ absorption spectra at
the host redshift (Figure 5) demonstrate the need for at
least some absorption from the host galaxy. A combined
fit with a host galaxy absorber (fixed to the redshift of
the metal lines) along with the IGM model can fit the
data as long as the IGM neutral fraction (xHI) is be-
low 0.05, but is not required by the data. We conclude
that our spectra are consistent with zero neutral frac-
tion and xHI < 0.11 at the 2σ level (Figure 8). However,
allowing more realistic models than a simple constant
neutral density in the IGM makes the interpretation of
Lyα damping wings more problematic and significantly
relaxes these constraints (Mesinger & Furlanetto 2008;
McQuinn et al. 2008).
We note that although most GRB host galaxies are
DLAs (Jakobsson et al. 2006), two out of the three high-
est redshift events with good measurements of the host
hydrogen columns have log(NHI)< 20 (GRBs 130606A
and 080913), which may bode well for the detectability
of the red damping wing effect in the future at higher
redshift. An evolution in the log(NHI) values observed
in GRB afterglow spectra would also have important im-
10 Chornock et al.
19.3 19.4 19.5 19.6 19.7 19.8 19.9 20
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
log(NH / cm
−2
)
x
H
Figure 8. Contours (1, 2, and 3σ) of fits to the red wing of
Lyα absorption when a simple model with constant xHI in the
IGM (Miralda-Escude 1998) is allowed in addition to an absorber
at the host redshift with a column density of log(NHI). Models
treating IGM inhomogeneity more realistically will significantly re-
lax these constraints (Mesinger & Furlanetto 2008; McQuinn et al.
2008), but the best fit will still be consistent with zero neutral frac-
tion.
plications for reionization. Chen et al. (2007) have used
the distribution of log(NHI) values observed in GRB af-
terglow spectra as a proxy to measure the escape frac-
tion of UV ionizing photons from star-forming galaxies.
If the GRB host galaxy log(NHI) distribution really is
lower at higher redshift, then the higher escape frac-
tions would imply that star-forming galaxies can more
efficiently reionize the universe. Data from more lines
of sight at these high redshifts are necessary to test this
hypothesis.
5. CONCLUSIONS
We have presented high S/N spectra of the optical af-
terglow of GRB 130606A at z=5.9134, the first high-
redshift afterglow to have a dataset of similar quality
for IGM studies to those published for individual high-
z quasars, although our spectral resolution was not as
high as in the best quasar datasets (e.g., White et al.
2003). For comparison, we estimate that the continuum
magnitude at the time of the GMOS observations was
∼19.6 mag (Perley & Cenko 2013; Afonso et al. 2013), or
M
1250˚A
≈ −27 mag (AB). This is comparable to the most
luminous quasars known at similar redshifts (Fan et al.
2006b) and we were able to obtain 1.3 hr of spectroscopy
with the 6.5-m MMT and 2 hr with the 8-m Gemini-N
telescope.
These observations represent the first dataset on the
evolution of the IGM opacity at these redshifts using a
tracer other than quasars, which Mesinger (2010) has
argued are sufficiently biased tracers of large-scale struc-
ture that they will overestimate the degree of ionization
of the IGM. It is therefore reassuring that the general
trend of the quasar observations is reproduced in our
dataset, although an individual sightline is of limited util-
ity for making firm conclusions because of cosmic vari-
ance. Once we have obtained a sample of GRB afterglow
spectra at high redshift, it will be interesting to compare
the statistics of Lyα absorption using both tracers.
We also find an extended region of Lyα absorption
from z=5.71 to 5.83, similar to the lowest-redshift Gunn-
Peterson troughs found in quasar absorption spectra,
over which we place a 3σ upper limit of 0.2% on the
Lyα transmitted fraction, although Lyβ and Lyγ are
not completely absorbed. The pixel-scale statistics (e.g.,
McGreer et al. 2011) of dark regions in Lyα absorption
windows such as this in a larger sample of GRB after-
glows will offer a complementary view of reionization to
the studies of quasars.
In addition, we have identified numerous metal absorp-
tions on the bright GRB afterglow continuum at wave-
lengths redward of Lyα at the host redshift, due to both
the IGM and the ISM of the host galaxy. A metal ab-
sorption system at z=5.806 appears to be correlated with
a region of slightly enhanced transmission in the Lyβ
and Lyγ forests. We have used the host ISM absorption
lines to bracket the gas phase abundances for this star-
forming galaxy at z=5.913 between [Si/H] −1.7 and
[S/H] −0.5. The low hydrogen column density in this
host galaxy (log(NHI)= 19.93±0.07) as well as that of the
z=6.7 GRB 080913 may be evidence for an evolving es-
cape fraction for UV photons from star-forming galaxies
at high redshift.
We thank the Gemini and MMT staffs for their as-
sistance in obtaining these observations. The Berger
GRB group at Harvard is supported by the National
Science Foundation under Grant AST-1107973 and by
NASA/Swift AO8 grant NNX13AJ64G. Based in part
on observations obtained under Program ID GN-2013A-
Q-39 (PI: Cucchiara) at the Gemini Observatory, which
is operated by the Association of Universities for Re-
search in Astronomy, Inc., under a cooperative agree-
ment with the NSF on behalf of the Gemini partnership:
the National Science Foundation (United States), the
Science and Technology Facilities Council (United King-
dom), the National Research Council (Canada), CON-
ICYT (Chile), the Australian Research Council (Aus-
tralia), Minist´erio da Ciˆencia, Tecnologia e Inova¸c˜ao
(Brazil) and Ministerio de Ciencia, Tecnolog´ıa e Inno-
vaci´on Productiva (Argentina). Some observations re-
ported here were obtained at the MMT Observatory, a
joint facility of the Smithsonian Institution and the Uni-
versity of Arizona.
Facilities: Gemini:Gillett (GMOS-N), MMT (Blue
Channel Spectrograph)
REFERENCES
Afonso, P., Kann, D. A., Nicuesa Guelbenzu, A., et al., GRB
Coordinates Network, 14807, 1
Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009,
ARA&A, 47, 481
Barkana, R., & Loeb, A. 2004, ApJ, 601, 64
Barthelmy, S., et al., GRB Coordinates Network, 14819, 1
Becker, G. D., Rauch, M., & Sargent, W. L. W. 2007, ApJ, 662,
72
Becker, G. D., Sargent, W. L. W., Rauch, M., & Calverley, A. P.
2011, ApJ, 735, 93
Becker, G. D., Hewett, P. C., Worseck, G., & Prochaska, J. X.
2013, MNRAS, 430, 2067
Becker, R. H., Fan, X., White, R. L., et al. 2001, AJ, 122, 2850
Berger, E., Penprase, B. E., Cenko, S. B., et al. 2006, ApJ, 642,
979
GRB 130606A at z = 5.913 11
Butler, N., Watson, A. M., Kutyrev, A., et al., GRB Coordinates
Network, 14799, 1
Castro-Tirado, A. J., S´anchez-Ram´ırez, R., Jelinek, M., et al.
2013a, GRB Coordinates Network, 14790, 1
Castro-Tirado, A. J., S´anchez-Ram´ırez, R., Gorosabel, J., et al.
2013b, GRB Coordinates Network, 14796, 1
Chen, H.-W., Prochaska, J. X., & Gnedin, N. Y. 2007, ApJ, 667,
L125
Cucchiara, A., Levan, A. J., Fox, D. B., et al. 2011, ApJ, 736, 7
Erb, D. K., Shapley, A. E., Pettini, M., et al. 2006, ApJ, 644, 813
Fan, X., Narayanan, V. K., Strauss, M. A., et al. 2002, AJ, 123,
1247
Fan, X., Strauss, M. A., Schneider, D. P., et al. 2003, AJ, 125,
1649
Fan, X., Strauss, M. A., Richards, G. T., et al. 2006a, AJ, 131,
1203
Fan, X., Strauss, M. A., Becker, R. H., et al. 2006b, AJ, 132, 117
Filippenko, A. V. 1982, PASP, 94, 715
Furlanetto, S. R., & Loeb, A. 2003, ApJ, 588, 18
Gallerani, S., Salvaterra, R., Ferrara, A., & Choudhury, T. R.
2008, MNRAS, 388, L84
Glazebrook, K., & Bland-Hawthorn, J. 2001, PASP, 113, 197
Greiner, J., Kr¨uhler, T., Fynbo, J. P. U., et al. 2009, ApJ, 693,
1610
Gunn, J. E., & Peterson, B. A. 1965, ApJ, 142, 1633
Haislip, J. B., Nysewander, M. C., Reichart, D. E., et al. 2006,
Nature, 440, 181
Hinshaw, G., Larson, D., Komatsu, E., et al. 2012,
arXiv:1212.5226
Hook, I. M., Jørgensen, I., Allington-Smith, J. R., et al. 2004,
PASP, 116, 425
Jakobsson, P., Fynbo, J. P. U., Ledoux, C., et al. 2006, A&A,
460, L13
Jelinek, M., Gorosabel, J., Castro-Tirado, A. J., et al. 2013, GRB
Coordinates Network, 14782, 1
Kawai, N., Kosugi, G., Aoki, K., et al. 2006, Nature, 440, 184
Lamb, D. Q., & Reichart, D. E. 2000, ApJ, 536, 1
Laskar, T., Zauderer, A., & Berger, E. 2013, GRB Coordinates
Network, 14817, 1
Lunnan, R., Drout, M., Chornock, R., & Berger, E. 2013, GRB
Coordinates Network, 14798, 1
Mannucci, F., Cresci, G., Maiolino, R., et al. 2009, MNRAS, 398,
1915
McGreer, I. D., Mesinger, A., & Fan, X. 2011, MNRAS, 415, 3237
McQuinn, M., Lidz, A., Zaldarriaga, M., Hernquist, L., & Dutta,
S. 2008, MNRAS, 388, 1101
Mesinger, A. 2010, MNRAS, 407, 1328
Mesinger, A., & Furlanetto, S. R. 2008, MNRAS, 385, 1348
Miralda-Escude, J. 1998, ApJ, 501, 15
Nagayama, T. 2013, GRB Coordinates Network, 14784, 1
Oh, S. P. 2002, MNRAS, 336, 1021
Oh, S. P., & Furlanetto, S. R. 2005, ApJ, 620, L9
Patel, M., Warren, S. J., Mortlock, D. J., & Fynbo, J. P. U. 2010,
A&A, 512, L3
Perley, D. A., & Cenko, S. B. 2013, GRB Coordinates Network,
14804, 1
Price, P. A., Songaila, A., Cowie, L. L., et al. 2007, ApJ, 663, L57
Prochaska, J. X. 2006, ApJ, 650, 272
Prochaska, J. X., Chen, H.-W., & Bloom, J. S. 2006, ApJ, 648, 95
Prochaska, J. X., Chen, H.-W., Bloom, J. S., et al. 2007, ApJS,
168, 231
Prochaska, J. X., Dessauges-Zavadsky, M., Ramirez-Ruiz, E., &
Chen, H.-W. 2008, ApJ, 685, 344
Rafelski, M., Wolfe, A. M., Prochaska, J. X., Neeleman, M.,&
Mendez, A. J. 2012, ApJ, 755, 89
Salvaterra, R., Della Valle, M., Campana, S., et al. 2009, Nature,
461, 1258
Savage, B. D., & Sembach, K. R. 1996, ARA&A, 34, 279
Schlafly, E. F., & Finkbeiner, D. P. 2011, ApJ, 737, 103
Schmidt, G. D., Weymann, R. J., & Foltz, C. B. 1989, PASP,
101, 713
Songaila, A. 2004, AJ, 127, 2598
Songaila, A., & Cowie, L. L. 2002, AJ, 123, 2183
Tanvir, N. R., Fox, D. B., Levan, A. J., et al. 2009, Nature, 461,
1254
Tanvir, N. R., Levan, A. J., Fruchter, A. S., et al. 2012, ApJ, 754,
46
Th¨one, C. C., Fynbo, J. P. U., Goldoni, P., et al. 2013, MNRAS,
428, 3590
Totani, T., Kawai, N., Kosugi, G., et al. 2006, PASJ, 58, 485
Ukwatta, T .N., Barthelmy, S. D., Gehrels, N., et al. 2013, GRB
Coordinates Network, 14781, 1
van Dokkum, P. G. 2001, PASP, 113, 1420
Virgili, F. J., Mundell, C. G., & Melandri, A. 2013, GRB
Coordinates Network, 14785, 1
Vreeswijk, P. M., Ledoux, C., Smette, A., et al. 2007, A&A, 468,
83
White, R. L., Becker, R. H., Fan, X., & Strauss, M. A. 2003, AJ,
126, 1
Woosley, S. E., & Bloom, J. S. 2006, ARA&A, 44, 507
Xu, D., Malesani, D., Schulze, S., et al. 2013, GRB Coordinates
Network, 14783, 1
Xu, D., Malesani, D., Schulze, S., et al. 2013, GRB Coordinates
Network, 14816, 1

More Related Content

What's hot

The ASTRODEEP Frontier Fields catalogues II. Photometric redshifts and rest f...
The ASTRODEEP Frontier Fields catalogues II. Photometric redshifts and rest f...The ASTRODEEP Frontier Fields catalogues II. Photometric redshifts and rest f...
The ASTRODEEP Frontier Fields catalogues II. Photometric redshifts and rest f...Sérgio Sacani
 
LOW FREQUENCY GW SOURCES: Chapter II: Massive black hole binary cosmic evolut...
LOW FREQUENCY GW SOURCES: Chapter II: Massive black hole binary cosmic evolut...LOW FREQUENCY GW SOURCES: Chapter II: Massive black hole binary cosmic evolut...
LOW FREQUENCY GW SOURCES: Chapter II: Massive black hole binary cosmic evolut...Lake Como School of Advanced Studies
 
A close pair_binary_in_a_distant_triple_supermassive_black_hole_system
A close pair_binary_in_a_distant_triple_supermassive_black_hole_systemA close pair_binary_in_a_distant_triple_supermassive_black_hole_system
A close pair_binary_in_a_distant_triple_supermassive_black_hole_systemSérgio Sacani
 
Major contributor to_agn_feedback
Major contributor to_agn_feedbackMajor contributor to_agn_feedback
Major contributor to_agn_feedbackSérgio Sacani
 
The open cluster_ngc6520_and_the_nearby_dark_molecular_cloud_barnard_86
The open cluster_ngc6520_and_the_nearby_dark_molecular_cloud_barnard_86The open cluster_ngc6520_and_the_nearby_dark_molecular_cloud_barnard_86
The open cluster_ngc6520_and_the_nearby_dark_molecular_cloud_barnard_86Sérgio Sacani
 
Красное пятно на полюсе Харона
Красное пятно на полюсе ХаронаКрасное пятно на полюсе Харона
Красное пятно на полюсе ХаронаAnatol Alizar
 
Propagation of highly_efficient_star_formation_in_ngc7000
Propagation of highly_efficient_star_formation_in_ngc7000Propagation of highly_efficient_star_formation_in_ngc7000
Propagation of highly_efficient_star_formation_in_ngc7000Sérgio Sacani
 
Pawan Kumar Relativistic jets in tidal disruption events
Pawan Kumar	Relativistic jets in tidal disruption eventsPawan Kumar	Relativistic jets in tidal disruption events
Pawan Kumar Relativistic jets in tidal disruption eventsBaurzhan Alzhanov
 
A very luminous_magnetar_powered_supernova_associated_with_an_ultra_long_gamm...
A very luminous_magnetar_powered_supernova_associated_with_an_ultra_long_gamm...A very luminous_magnetar_powered_supernova_associated_with_an_ultra_long_gamm...
A very luminous_magnetar_powered_supernova_associated_with_an_ultra_long_gamm...Sérgio Sacani
 
Thermal structure of_an_exoplanet_atmosphere_from_phase_resolved_emssion_spec...
Thermal structure of_an_exoplanet_atmosphere_from_phase_resolved_emssion_spec...Thermal structure of_an_exoplanet_atmosphere_from_phase_resolved_emssion_spec...
Thermal structure of_an_exoplanet_atmosphere_from_phase_resolved_emssion_spec...Sérgio Sacani
 
The bright optical_flash_and_afterglow_from_the_gamma_ray_burst_grb_130427a
The bright optical_flash_and_afterglow_from_the_gamma_ray_burst_grb_130427aThe bright optical_flash_and_afterglow_from_the_gamma_ray_burst_grb_130427a
The bright optical_flash_and_afterglow_from_the_gamma_ray_burst_grb_130427aSérgio Sacani
 
Radial velocity trail_from_the_giant_planet_orbiting_t_bootis
Radial velocity trail_from_the_giant_planet_orbiting_t_bootisRadial velocity trail_from_the_giant_planet_orbiting_t_bootis
Radial velocity trail_from_the_giant_planet_orbiting_t_bootisSérgio Sacani
 
LOW FREQUENCY GW SOURCES: Chapter I: Overview of LISA sources - Alberto Sesana
LOW FREQUENCY GW SOURCES: Chapter I: Overview of LISA sources - Alberto SesanaLOW FREQUENCY GW SOURCES: Chapter I: Overview of LISA sources - Alberto Sesana
LOW FREQUENCY GW SOURCES: Chapter I: Overview of LISA sources - Alberto SesanaLake Como School of Advanced Studies
 
Spectroscopy of Ru109-112
Spectroscopy of Ru109-112Spectroscopy of Ru109-112
Spectroscopy of Ru109-112Daniel Riley
 

What's hot (20)

The ASTRODEEP Frontier Fields catalogues II. Photometric redshifts and rest f...
The ASTRODEEP Frontier Fields catalogues II. Photometric redshifts and rest f...The ASTRODEEP Frontier Fields catalogues II. Photometric redshifts and rest f...
The ASTRODEEP Frontier Fields catalogues II. Photometric redshifts and rest f...
 
Nature12888
Nature12888Nature12888
Nature12888
 
LOW FREQUENCY GW SOURCES: Chapter II: Massive black hole binary cosmic evolut...
LOW FREQUENCY GW SOURCES: Chapter II: Massive black hole binary cosmic evolut...LOW FREQUENCY GW SOURCES: Chapter II: Massive black hole binary cosmic evolut...
LOW FREQUENCY GW SOURCES: Chapter II: Massive black hole binary cosmic evolut...
 
A close pair_binary_in_a_distant_triple_supermassive_black_hole_system
A close pair_binary_in_a_distant_triple_supermassive_black_hole_systemA close pair_binary_in_a_distant_triple_supermassive_black_hole_system
A close pair_binary_in_a_distant_triple_supermassive_black_hole_system
 
Major contributor to_agn_feedback
Major contributor to_agn_feedbackMajor contributor to_agn_feedback
Major contributor to_agn_feedback
 
The open cluster_ngc6520_and_the_nearby_dark_molecular_cloud_barnard_86
The open cluster_ngc6520_and_the_nearby_dark_molecular_cloud_barnard_86The open cluster_ngc6520_and_the_nearby_dark_molecular_cloud_barnard_86
The open cluster_ngc6520_and_the_nearby_dark_molecular_cloud_barnard_86
 
Красное пятно на полюсе Харона
Красное пятно на полюсе ХаронаКрасное пятно на полюсе Харона
Красное пятно на полюсе Харона
 
Propagation of highly_efficient_star_formation_in_ngc7000
Propagation of highly_efficient_star_formation_in_ngc7000Propagation of highly_efficient_star_formation_in_ngc7000
Propagation of highly_efficient_star_formation_in_ngc7000
 
Aa16869 11
Aa16869 11Aa16869 11
Aa16869 11
 
Pawan Kumar Relativistic jets in tidal disruption events
Pawan Kumar	Relativistic jets in tidal disruption eventsPawan Kumar	Relativistic jets in tidal disruption events
Pawan Kumar Relativistic jets in tidal disruption events
 
A very luminous_magnetar_powered_supernova_associated_with_an_ultra_long_gamm...
A very luminous_magnetar_powered_supernova_associated_with_an_ultra_long_gamm...A very luminous_magnetar_powered_supernova_associated_with_an_ultra_long_gamm...
A very luminous_magnetar_powered_supernova_associated_with_an_ultra_long_gamm...
 
Thermal structure of_an_exoplanet_atmosphere_from_phase_resolved_emssion_spec...
Thermal structure of_an_exoplanet_atmosphere_from_phase_resolved_emssion_spec...Thermal structure of_an_exoplanet_atmosphere_from_phase_resolved_emssion_spec...
Thermal structure of_an_exoplanet_atmosphere_from_phase_resolved_emssion_spec...
 
Brazil1
Brazil1Brazil1
Brazil1
 
The bright optical_flash_and_afterglow_from_the_gamma_ray_burst_grb_130427a
The bright optical_flash_and_afterglow_from_the_gamma_ray_burst_grb_130427aThe bright optical_flash_and_afterglow_from_the_gamma_ray_burst_grb_130427a
The bright optical_flash_and_afterglow_from_the_gamma_ray_burst_grb_130427a
 
Nature12887
Nature12887Nature12887
Nature12887
 
Aimuratov ecl 17
Aimuratov ecl 17Aimuratov ecl 17
Aimuratov ecl 17
 
Radial velocity trail_from_the_giant_planet_orbiting_t_bootis
Radial velocity trail_from_the_giant_planet_orbiting_t_bootisRadial velocity trail_from_the_giant_planet_orbiting_t_bootis
Radial velocity trail_from_the_giant_planet_orbiting_t_bootis
 
LOW FREQUENCY GW SOURCES: Chapter I: Overview of LISA sources - Alberto Sesana
LOW FREQUENCY GW SOURCES: Chapter I: Overview of LISA sources - Alberto SesanaLOW FREQUENCY GW SOURCES: Chapter I: Overview of LISA sources - Alberto Sesana
LOW FREQUENCY GW SOURCES: Chapter I: Overview of LISA sources - Alberto Sesana
 
Spectroscopy of Ru109-112
Spectroscopy of Ru109-112Spectroscopy of Ru109-112
Spectroscopy of Ru109-112
 
Aa18195 11
Aa18195 11Aa18195 11
Aa18195 11
 

Viewers also liked

One tenth solar_abundances_along_the_body_of-the_stream
One tenth solar_abundances_along_the_body_of-the_streamOne tenth solar_abundances_along_the_body_of-the_stream
One tenth solar_abundances_along_the_body_of-the_streamSérgio Sacani
 
Imaging of the_co_snow_line_in_a_solar_nebula_analog
Imaging of the_co_snow_line_in_a_solar_nebula_analogImaging of the_co_snow_line_in_a_solar_nebula_analog
Imaging of the_co_snow_line_in_a_solar_nebula_analogSérgio Sacani
 
The stelar mass_growth_of_brightest_cluster_galaxies_in_the_irac_shallow_clus...
The stelar mass_growth_of_brightest_cluster_galaxies_in_the_irac_shallow_clus...The stelar mass_growth_of_brightest_cluster_galaxies_in_the_irac_shallow_clus...
The stelar mass_growth_of_brightest_cluster_galaxies_in_the_irac_shallow_clus...Sérgio Sacani
 
The colision between_the_milky_way_and_andromeda
The colision between_the_milky_way_and_andromedaThe colision between_the_milky_way_and_andromeda
The colision between_the_milky_way_and_andromedaSérgio Sacani
 
Optical proper motion_measurements_of_the_m87_jet_new_results_from_the_hubble...
Optical proper motion_measurements_of_the_m87_jet_new_results_from_the_hubble...Optical proper motion_measurements_of_the_m87_jet_new_results_from_the_hubble...
Optical proper motion_measurements_of_the_m87_jet_new_results_from_the_hubble...Sérgio Sacani
 
Evidence for a_complex_enrichment_history_of_the_stream_from_fairall_9_sightline
Evidence for a_complex_enrichment_history_of_the_stream_from_fairall_9_sightlineEvidence for a_complex_enrichment_history_of_the_stream_from_fairall_9_sightline
Evidence for a_complex_enrichment_history_of_the_stream_from_fairall_9_sightlineSérgio Sacani
 
A dynamical signature_of_multiple_stellar_populations_in_47_tucanae
A dynamical signature_of_multiple_stellar_populations_in_47_tucanaeA dynamical signature_of_multiple_stellar_populations_in_47_tucanae
A dynamical signature_of_multiple_stellar_populations_in_47_tucanaeSérgio Sacani
 
Mass and motion_of_globulettes_in_the_rosette_nebula
Mass and motion_of_globulettes_in_the_rosette_nebulaMass and motion_of_globulettes_in_the_rosette_nebula
Mass and motion_of_globulettes_in_the_rosette_nebulaSérgio Sacani
 
Abundance and isotopic_composition_of_gases_in_the_martian_atmosphere_from_th...
Abundance and isotopic_composition_of_gases_in_the_martian_atmosphere_from_th...Abundance and isotopic_composition_of_gases_in_the_martian_atmosphere_from_th...
Abundance and isotopic_composition_of_gases_in_the_martian_atmosphere_from_th...Sérgio Sacani
 
The identification of_93_day_periodic_photometric_variability_for_yso_ylw_16a
The identification of_93_day_periodic_photometric_variability_for_yso_ylw_16aThe identification of_93_day_periodic_photometric_variability_for_yso_ylw_16a
The identification of_93_day_periodic_photometric_variability_for_yso_ylw_16aSérgio Sacani
 
Xray discovery of_a_dwarf_galaxy_galaxy_collision
Xray discovery of_a_dwarf_galaxy_galaxy_collisionXray discovery of_a_dwarf_galaxy_galaxy_collision
Xray discovery of_a_dwarf_galaxy_galaxy_collisionSérgio Sacani
 
Alan sandage and-the_distance_scale
Alan sandage and-the_distance_scaleAlan sandage and-the_distance_scale
Alan sandage and-the_distance_scaleSérgio Sacani
 
Alma observations of_the_hh46_47_molecular_outflow
Alma observations of_the_hh46_47_molecular_outflowAlma observations of_the_hh46_47_molecular_outflow
Alma observations of_the_hh46_47_molecular_outflowSérgio Sacani
 
Candels the correlation_between_galaxy_morphology_and_star_formation_activity...
Candels the correlation_between_galaxy_morphology_and_star_formation_activity...Candels the correlation_between_galaxy_morphology_and_star_formation_activity...
Candels the correlation_between_galaxy_morphology_and_star_formation_activity...Sérgio Sacani
 
Effect of a_high_opacity_on_the_light_curves_of_radioactively_powered_transie...
Effect of a_high_opacity_on_the_light_curves_of_radioactively_powered_transie...Effect of a_high_opacity_on_the_light_curves_of_radioactively_powered_transie...
Effect of a_high_opacity_on_the_light_curves_of_radioactively_powered_transie...Sérgio Sacani
 
Pericenter passage of_the_gas_cloud_g2_in_the_galactic_center
Pericenter passage of_the_gas_cloud_g2_in_the_galactic_centerPericenter passage of_the_gas_cloud_g2_in_the_galactic_center
Pericenter passage of_the_gas_cloud_g2_in_the_galactic_centerSérgio Sacani
 
Isotope ratios of_h_c_and_o_in_co2_and_h2o_of_the_martian_atmosphere
Isotope ratios of_h_c_and_o_in_co2_and_h2o_of_the_martian_atmosphereIsotope ratios of_h_c_and_o_in_co2_and_h2o_of_the_martian_atmosphere
Isotope ratios of_h_c_and_o_in_co2_and_h2o_of_the_martian_atmosphereSérgio Sacani
 
Hi ho hoags_object_revised
Hi ho hoags_object_revisedHi ho hoags_object_revised
Hi ho hoags_object_revisedSérgio Sacani
 

Viewers also liked (19)

One tenth solar_abundances_along_the_body_of-the_stream
One tenth solar_abundances_along_the_body_of-the_streamOne tenth solar_abundances_along_the_body_of-the_stream
One tenth solar_abundances_along_the_body_of-the_stream
 
Imaging of the_co_snow_line_in_a_solar_nebula_analog
Imaging of the_co_snow_line_in_a_solar_nebula_analogImaging of the_co_snow_line_in_a_solar_nebula_analog
Imaging of the_co_snow_line_in_a_solar_nebula_analog
 
The stelar mass_growth_of_brightest_cluster_galaxies_in_the_irac_shallow_clus...
The stelar mass_growth_of_brightest_cluster_galaxies_in_the_irac_shallow_clus...The stelar mass_growth_of_brightest_cluster_galaxies_in_the_irac_shallow_clus...
The stelar mass_growth_of_brightest_cluster_galaxies_in_the_irac_shallow_clus...
 
The colision between_the_milky_way_and_andromeda
The colision between_the_milky_way_and_andromedaThe colision between_the_milky_way_and_andromeda
The colision between_the_milky_way_and_andromeda
 
Optical proper motion_measurements_of_the_m87_jet_new_results_from_the_hubble...
Optical proper motion_measurements_of_the_m87_jet_new_results_from_the_hubble...Optical proper motion_measurements_of_the_m87_jet_new_results_from_the_hubble...
Optical proper motion_measurements_of_the_m87_jet_new_results_from_the_hubble...
 
Evidence for a_complex_enrichment_history_of_the_stream_from_fairall_9_sightline
Evidence for a_complex_enrichment_history_of_the_stream_from_fairall_9_sightlineEvidence for a_complex_enrichment_history_of_the_stream_from_fairall_9_sightline
Evidence for a_complex_enrichment_history_of_the_stream_from_fairall_9_sightline
 
A dynamical signature_of_multiple_stellar_populations_in_47_tucanae
A dynamical signature_of_multiple_stellar_populations_in_47_tucanaeA dynamical signature_of_multiple_stellar_populations_in_47_tucanae
A dynamical signature_of_multiple_stellar_populations_in_47_tucanae
 
Mass and motion_of_globulettes_in_the_rosette_nebula
Mass and motion_of_globulettes_in_the_rosette_nebulaMass and motion_of_globulettes_in_the_rosette_nebula
Mass and motion_of_globulettes_in_the_rosette_nebula
 
Abundance and isotopic_composition_of_gases_in_the_martian_atmosphere_from_th...
Abundance and isotopic_composition_of_gases_in_the_martian_atmosphere_from_th...Abundance and isotopic_composition_of_gases_in_the_martian_atmosphere_from_th...
Abundance and isotopic_composition_of_gases_in_the_martian_atmosphere_from_th...
 
The identification of_93_day_periodic_photometric_variability_for_yso_ylw_16a
The identification of_93_day_periodic_photometric_variability_for_yso_ylw_16aThe identification of_93_day_periodic_photometric_variability_for_yso_ylw_16a
The identification of_93_day_periodic_photometric_variability_for_yso_ylw_16a
 
Bright quasar 3c273
Bright quasar 3c273Bright quasar 3c273
Bright quasar 3c273
 
Xray discovery of_a_dwarf_galaxy_galaxy_collision
Xray discovery of_a_dwarf_galaxy_galaxy_collisionXray discovery of_a_dwarf_galaxy_galaxy_collision
Xray discovery of_a_dwarf_galaxy_galaxy_collision
 
Alan sandage and-the_distance_scale
Alan sandage and-the_distance_scaleAlan sandage and-the_distance_scale
Alan sandage and-the_distance_scale
 
Alma observations of_the_hh46_47_molecular_outflow
Alma observations of_the_hh46_47_molecular_outflowAlma observations of_the_hh46_47_molecular_outflow
Alma observations of_the_hh46_47_molecular_outflow
 
Candels the correlation_between_galaxy_morphology_and_star_formation_activity...
Candels the correlation_between_galaxy_morphology_and_star_formation_activity...Candels the correlation_between_galaxy_morphology_and_star_formation_activity...
Candels the correlation_between_galaxy_morphology_and_star_formation_activity...
 
Effect of a_high_opacity_on_the_light_curves_of_radioactively_powered_transie...
Effect of a_high_opacity_on_the_light_curves_of_radioactively_powered_transie...Effect of a_high_opacity_on_the_light_curves_of_radioactively_powered_transie...
Effect of a_high_opacity_on_the_light_curves_of_radioactively_powered_transie...
 
Pericenter passage of_the_gas_cloud_g2_in_the_galactic_center
Pericenter passage of_the_gas_cloud_g2_in_the_galactic_centerPericenter passage of_the_gas_cloud_g2_in_the_galactic_center
Pericenter passage of_the_gas_cloud_g2_in_the_galactic_center
 
Isotope ratios of_h_c_and_o_in_co2_and_h2o_of_the_martian_atmosphere
Isotope ratios of_h_c_and_o_in_co2_and_h2o_of_the_martian_atmosphereIsotope ratios of_h_c_and_o_in_co2_and_h2o_of_the_martian_atmosphere
Isotope ratios of_h_c_and_o_in_co2_and_h2o_of_the_martian_atmosphere
 
Hi ho hoags_object_revised
Hi ho hoags_object_revisedHi ho hoags_object_revised
Hi ho hoags_object_revised
 

Similar to Grb 130606a as_a_probe_of_the_intergalactic_medium_and_the_interstelar_medium_in_a_star_forming_galaxy

Probing the innermost_regions_of_agn_jets_and_their_magnetic_fields_with_radi...
Probing the innermost_regions_of_agn_jets_and_their_magnetic_fields_with_radi...Probing the innermost_regions_of_agn_jets_and_their_magnetic_fields_with_radi...
Probing the innermost_regions_of_agn_jets_and_their_magnetic_fields_with_radi...Sérgio Sacani
 
Grb 130427a a_neraby_ordinary_monster
Grb 130427a a_neraby_ordinary_monsterGrb 130427a a_neraby_ordinary_monster
Grb 130427a a_neraby_ordinary_monsterSérgio Sacani
 
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...Sérgio Sacani
 
AT2023fhn (the Finch): a Luminous Fast Blue Optical Transient at a large offs...
AT2023fhn (the Finch): a Luminous Fast Blue Optical Transient at a large offs...AT2023fhn (the Finch): a Luminous Fast Blue Optical Transient at a large offs...
AT2023fhn (the Finch): a Luminous Fast Blue Optical Transient at a large offs...Sérgio Sacani
 
Obscuration beyond the nucleus: infrared quasars can be buried in extreme com...
Obscuration beyond the nucleus: infrared quasars can be buried in extreme com...Obscuration beyond the nucleus: infrared quasars can be buried in extreme com...
Obscuration beyond the nucleus: infrared quasars can be buried in extreme com...Sérgio Sacani
 
The exceptional soft_x_ray_halo_of_the_galaxy_merger_ngc6240
The exceptional soft_x_ray_halo_of_the_galaxy_merger_ngc6240The exceptional soft_x_ray_halo_of_the_galaxy_merger_ngc6240
The exceptional soft_x_ray_halo_of_the_galaxy_merger_ngc6240Sérgio Sacani
 
Discovery of carbon_radio_recombination_lines_in_m82
Discovery of carbon_radio_recombination_lines_in_m82Discovery of carbon_radio_recombination_lines_in_m82
Discovery of carbon_radio_recombination_lines_in_m82Sérgio Sacani
 
The broad lined_type_ic_sn_2012_ap_and_the_nature_of_relatvistic_supernovae_l...
The broad lined_type_ic_sn_2012_ap_and_the_nature_of_relatvistic_supernovae_l...The broad lined_type_ic_sn_2012_ap_and_the_nature_of_relatvistic_supernovae_l...
The broad lined_type_ic_sn_2012_ap_and_the_nature_of_relatvistic_supernovae_l...Sérgio Sacani
 
The characterization of_the_gamma_ray_signal_from_the_central_milk_way_a_comp...
The characterization of_the_gamma_ray_signal_from_the_central_milk_way_a_comp...The characterization of_the_gamma_ray_signal_from_the_central_milk_way_a_comp...
The characterization of_the_gamma_ray_signal_from_the_central_milk_way_a_comp...Sérgio Sacani
 
The JWST Discovery of the Triply-imaged Type Ia “Supernova H0pe” and Observat...
The JWST Discovery of the Triply-imaged Type Ia “Supernova H0pe” and Observat...The JWST Discovery of the Triply-imaged Type Ia “Supernova H0pe” and Observat...
The JWST Discovery of the Triply-imaged Type Ia “Supernova H0pe” and Observat...Sérgio Sacani
 
An almost dark galaxy with the mass of the Small Magellanic Cloud
An almost dark galaxy with the mass of the Small Magellanic CloudAn almost dark galaxy with the mass of the Small Magellanic Cloud
An almost dark galaxy with the mass of the Small Magellanic CloudSérgio Sacani
 
Two gamma ray bursts from dusty regions with little molecular gas
Two gamma ray bursts from dusty regions with little molecular gasTwo gamma ray bursts from dusty regions with little molecular gas
Two gamma ray bursts from dusty regions with little molecular gasGOASA
 
The atacama cosmology_telescope_measuring_radio_galaxy_bias_through_cross_cor...
The atacama cosmology_telescope_measuring_radio_galaxy_bias_through_cross_cor...The atacama cosmology_telescope_measuring_radio_galaxy_bias_through_cross_cor...
The atacama cosmology_telescope_measuring_radio_galaxy_bias_through_cross_cor...Sérgio Sacani
 
Evidence for an intermediate-mass black hole in the globular cluster NGC 6624
Evidence for an intermediate-mass black hole in the globular cluster NGC 6624Evidence for an intermediate-mass black hole in the globular cluster NGC 6624
Evidence for an intermediate-mass black hole in the globular cluster NGC 6624Sérgio Sacani
 
A giant ring_like_structure_at_078_z_086_displayed_by_gr_bs
A giant ring_like_structure_at_078_z_086_displayed_by_gr_bsA giant ring_like_structure_at_078_z_086_displayed_by_gr_bs
A giant ring_like_structure_at_078_z_086_displayed_by_gr_bsSérgio Sacani
 
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...Sérgio Sacani
 
The discovery of_lensed_radio_and_x-ray_sources_behind_the_frontier_fields_cl...
The discovery of_lensed_radio_and_x-ray_sources_behind_the_frontier_fields_cl...The discovery of_lensed_radio_and_x-ray_sources_behind_the_frontier_fields_cl...
The discovery of_lensed_radio_and_x-ray_sources_behind_the_frontier_fields_cl...Sérgio Sacani
 
An evolucionary missing_link_a_modest_mass_early_type_galaxy_hosting_an_over_...
An evolucionary missing_link_a_modest_mass_early_type_galaxy_hosting_an_over_...An evolucionary missing_link_a_modest_mass_early_type_galaxy_hosting_an_over_...
An evolucionary missing_link_a_modest_mass_early_type_galaxy_hosting_an_over_...Sérgio Sacani
 
Transit observations of_the_hot_jupiter_hd189733b_at_xray_wavelenghts
Transit observations of_the_hot_jupiter_hd189733b_at_xray_wavelenghtsTransit observations of_the_hot_jupiter_hd189733b_at_xray_wavelenghts
Transit observations of_the_hot_jupiter_hd189733b_at_xray_wavelenghtsSérgio Sacani
 
Infrared transmission spectroscopy_of_the_exoplanets
Infrared transmission spectroscopy_of_the_exoplanetsInfrared transmission spectroscopy_of_the_exoplanets
Infrared transmission spectroscopy_of_the_exoplanetsSérgio Sacani
 

Similar to Grb 130606a as_a_probe_of_the_intergalactic_medium_and_the_interstelar_medium_in_a_star_forming_galaxy (20)

Probing the innermost_regions_of_agn_jets_and_their_magnetic_fields_with_radi...
Probing the innermost_regions_of_agn_jets_and_their_magnetic_fields_with_radi...Probing the innermost_regions_of_agn_jets_and_their_magnetic_fields_with_radi...
Probing the innermost_regions_of_agn_jets_and_their_magnetic_fields_with_radi...
 
Grb 130427a a_neraby_ordinary_monster
Grb 130427a a_neraby_ordinary_monsterGrb 130427a a_neraby_ordinary_monster
Grb 130427a a_neraby_ordinary_monster
 
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
 
AT2023fhn (the Finch): a Luminous Fast Blue Optical Transient at a large offs...
AT2023fhn (the Finch): a Luminous Fast Blue Optical Transient at a large offs...AT2023fhn (the Finch): a Luminous Fast Blue Optical Transient at a large offs...
AT2023fhn (the Finch): a Luminous Fast Blue Optical Transient at a large offs...
 
Obscuration beyond the nucleus: infrared quasars can be buried in extreme com...
Obscuration beyond the nucleus: infrared quasars can be buried in extreme com...Obscuration beyond the nucleus: infrared quasars can be buried in extreme com...
Obscuration beyond the nucleus: infrared quasars can be buried in extreme com...
 
The exceptional soft_x_ray_halo_of_the_galaxy_merger_ngc6240
The exceptional soft_x_ray_halo_of_the_galaxy_merger_ngc6240The exceptional soft_x_ray_halo_of_the_galaxy_merger_ngc6240
The exceptional soft_x_ray_halo_of_the_galaxy_merger_ngc6240
 
Discovery of carbon_radio_recombination_lines_in_m82
Discovery of carbon_radio_recombination_lines_in_m82Discovery of carbon_radio_recombination_lines_in_m82
Discovery of carbon_radio_recombination_lines_in_m82
 
The broad lined_type_ic_sn_2012_ap_and_the_nature_of_relatvistic_supernovae_l...
The broad lined_type_ic_sn_2012_ap_and_the_nature_of_relatvistic_supernovae_l...The broad lined_type_ic_sn_2012_ap_and_the_nature_of_relatvistic_supernovae_l...
The broad lined_type_ic_sn_2012_ap_and_the_nature_of_relatvistic_supernovae_l...
 
The characterization of_the_gamma_ray_signal_from_the_central_milk_way_a_comp...
The characterization of_the_gamma_ray_signal_from_the_central_milk_way_a_comp...The characterization of_the_gamma_ray_signal_from_the_central_milk_way_a_comp...
The characterization of_the_gamma_ray_signal_from_the_central_milk_way_a_comp...
 
The JWST Discovery of the Triply-imaged Type Ia “Supernova H0pe” and Observat...
The JWST Discovery of the Triply-imaged Type Ia “Supernova H0pe” and Observat...The JWST Discovery of the Triply-imaged Type Ia “Supernova H0pe” and Observat...
The JWST Discovery of the Triply-imaged Type Ia “Supernova H0pe” and Observat...
 
An almost dark galaxy with the mass of the Small Magellanic Cloud
An almost dark galaxy with the mass of the Small Magellanic CloudAn almost dark galaxy with the mass of the Small Magellanic Cloud
An almost dark galaxy with the mass of the Small Magellanic Cloud
 
Two gamma ray bursts from dusty regions with little molecular gas
Two gamma ray bursts from dusty regions with little molecular gasTwo gamma ray bursts from dusty regions with little molecular gas
Two gamma ray bursts from dusty regions with little molecular gas
 
The atacama cosmology_telescope_measuring_radio_galaxy_bias_through_cross_cor...
The atacama cosmology_telescope_measuring_radio_galaxy_bias_through_cross_cor...The atacama cosmology_telescope_measuring_radio_galaxy_bias_through_cross_cor...
The atacama cosmology_telescope_measuring_radio_galaxy_bias_through_cross_cor...
 
Evidence for an intermediate-mass black hole in the globular cluster NGC 6624
Evidence for an intermediate-mass black hole in the globular cluster NGC 6624Evidence for an intermediate-mass black hole in the globular cluster NGC 6624
Evidence for an intermediate-mass black hole in the globular cluster NGC 6624
 
A giant ring_like_structure_at_078_z_086_displayed_by_gr_bs
A giant ring_like_structure_at_078_z_086_displayed_by_gr_bsA giant ring_like_structure_at_078_z_086_displayed_by_gr_bs
A giant ring_like_structure_at_078_z_086_displayed_by_gr_bs
 
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
 
The discovery of_lensed_radio_and_x-ray_sources_behind_the_frontier_fields_cl...
The discovery of_lensed_radio_and_x-ray_sources_behind_the_frontier_fields_cl...The discovery of_lensed_radio_and_x-ray_sources_behind_the_frontier_fields_cl...
The discovery of_lensed_radio_and_x-ray_sources_behind_the_frontier_fields_cl...
 
An evolucionary missing_link_a_modest_mass_early_type_galaxy_hosting_an_over_...
An evolucionary missing_link_a_modest_mass_early_type_galaxy_hosting_an_over_...An evolucionary missing_link_a_modest_mass_early_type_galaxy_hosting_an_over_...
An evolucionary missing_link_a_modest_mass_early_type_galaxy_hosting_an_over_...
 
Transit observations of_the_hot_jupiter_hd189733b_at_xray_wavelenghts
Transit observations of_the_hot_jupiter_hd189733b_at_xray_wavelenghtsTransit observations of_the_hot_jupiter_hd189733b_at_xray_wavelenghts
Transit observations of_the_hot_jupiter_hd189733b_at_xray_wavelenghts
 
Infrared transmission spectroscopy_of_the_exoplanets
Infrared transmission spectroscopy_of_the_exoplanetsInfrared transmission spectroscopy_of_the_exoplanets
Infrared transmission spectroscopy_of_the_exoplanets
 

More from Sérgio Sacani

Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bSérgio Sacani
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksSérgio Sacani
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bSérgio Sacani
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Sérgio Sacani
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTSérgio Sacani
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...Sérgio Sacani
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...Sérgio Sacani
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoSérgio Sacani
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsSérgio Sacani
 
Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsSérgio Sacani
 
The SAMI Galaxy Sur v ey: galaxy spin is more strongly correlated with stella...
The SAMI Galaxy Sur v ey: galaxy spin is more strongly correlated with stella...The SAMI Galaxy Sur v ey: galaxy spin is more strongly correlated with stella...
The SAMI Galaxy Sur v ey: galaxy spin is more strongly correlated with stella...Sérgio Sacani
 
Is Betelgeuse Really Rotating? Synthetic ALMA Observations of Large-scale Con...
Is Betelgeuse Really Rotating? Synthetic ALMA Observations of Large-scale Con...Is Betelgeuse Really Rotating? Synthetic ALMA Observations of Large-scale Con...
Is Betelgeuse Really Rotating? Synthetic ALMA Observations of Large-scale Con...Sérgio Sacani
 
First Direct Imaging of a Kelvin–Helmholtz Instability by PSP/WISPR
First Direct Imaging of a Kelvin–Helmholtz Instability by PSP/WISPRFirst Direct Imaging of a Kelvin–Helmholtz Instability by PSP/WISPR
First Direct Imaging of a Kelvin–Helmholtz Instability by PSP/WISPRSérgio Sacani
 
The Sun’s differential rotation is controlled by high- latitude baroclinicall...
The Sun’s differential rotation is controlled by high- latitude baroclinicall...The Sun’s differential rotation is controlled by high- latitude baroclinicall...
The Sun’s differential rotation is controlled by high- latitude baroclinicall...Sérgio Sacani
 
Hydrogen Column Density Variability in a Sample of Local Compton-Thin AGN
Hydrogen Column Density Variability in a Sample of Local Compton-Thin AGNHydrogen Column Density Variability in a Sample of Local Compton-Thin AGN
Hydrogen Column Density Variability in a Sample of Local Compton-Thin AGNSérgio Sacani
 
Huygens - Exploring Titan A Mysterious World
Huygens - Exploring Titan A Mysterious WorldHuygens - Exploring Titan A Mysterious World
Huygens - Exploring Titan A Mysterious WorldSérgio Sacani
 
The Radcliffe Wave Of Milk Way is oscillating
The Radcliffe Wave Of Milk Way  is oscillatingThe Radcliffe Wave Of Milk Way  is oscillating
The Radcliffe Wave Of Milk Way is oscillatingSérgio Sacani
 
Thermonuclear explosions on neutron stars reveal the speed of their jets
Thermonuclear explosions on neutron stars reveal the speed of their jetsThermonuclear explosions on neutron stars reveal the speed of their jets
Thermonuclear explosions on neutron stars reveal the speed of their jetsSérgio Sacani
 
Identification of Superclusters and Their Properties in the Sloan Digital Sky...
Identification of Superclusters and Their Properties in the Sloan Digital Sky...Identification of Superclusters and Their Properties in the Sloan Digital Sky...
Identification of Superclusters and Their Properties in the Sloan Digital Sky...Sérgio Sacani
 
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...Sérgio Sacani
 

More from Sérgio Sacani (20)

Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disks
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOST
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on Io
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
 
Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive stars
 
The SAMI Galaxy Sur v ey: galaxy spin is more strongly correlated with stella...
The SAMI Galaxy Sur v ey: galaxy spin is more strongly correlated with stella...The SAMI Galaxy Sur v ey: galaxy spin is more strongly correlated with stella...
The SAMI Galaxy Sur v ey: galaxy spin is more strongly correlated with stella...
 
Is Betelgeuse Really Rotating? Synthetic ALMA Observations of Large-scale Con...
Is Betelgeuse Really Rotating? Synthetic ALMA Observations of Large-scale Con...Is Betelgeuse Really Rotating? Synthetic ALMA Observations of Large-scale Con...
Is Betelgeuse Really Rotating? Synthetic ALMA Observations of Large-scale Con...
 
First Direct Imaging of a Kelvin–Helmholtz Instability by PSP/WISPR
First Direct Imaging of a Kelvin–Helmholtz Instability by PSP/WISPRFirst Direct Imaging of a Kelvin–Helmholtz Instability by PSP/WISPR
First Direct Imaging of a Kelvin–Helmholtz Instability by PSP/WISPR
 
The Sun’s differential rotation is controlled by high- latitude baroclinicall...
The Sun’s differential rotation is controlled by high- latitude baroclinicall...The Sun’s differential rotation is controlled by high- latitude baroclinicall...
The Sun’s differential rotation is controlled by high- latitude baroclinicall...
 
Hydrogen Column Density Variability in a Sample of Local Compton-Thin AGN
Hydrogen Column Density Variability in a Sample of Local Compton-Thin AGNHydrogen Column Density Variability in a Sample of Local Compton-Thin AGN
Hydrogen Column Density Variability in a Sample of Local Compton-Thin AGN
 
Huygens - Exploring Titan A Mysterious World
Huygens - Exploring Titan A Mysterious WorldHuygens - Exploring Titan A Mysterious World
Huygens - Exploring Titan A Mysterious World
 
The Radcliffe Wave Of Milk Way is oscillating
The Radcliffe Wave Of Milk Way  is oscillatingThe Radcliffe Wave Of Milk Way  is oscillating
The Radcliffe Wave Of Milk Way is oscillating
 
Thermonuclear explosions on neutron stars reveal the speed of their jets
Thermonuclear explosions on neutron stars reveal the speed of their jetsThermonuclear explosions on neutron stars reveal the speed of their jets
Thermonuclear explosions on neutron stars reveal the speed of their jets
 
Identification of Superclusters and Their Properties in the Sloan Digital Sky...
Identification of Superclusters and Their Properties in the Sloan Digital Sky...Identification of Superclusters and Their Properties in the Sloan Digital Sky...
Identification of Superclusters and Their Properties in the Sloan Digital Sky...
 
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
 

Recently uploaded

Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 

Recently uploaded (20)

Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 

Grb 130606a as_a_probe_of_the_intergalactic_medium_and_the_interstelar_medium_in_a_star_forming_galaxy

  • 1. arXiv:1306.3949v2[astro-ph.CO]16Jul2013 Draft version July 17, 2013 Preprint typeset using LATEX style emulateapj v. 11/10/09 GRB 130606A as a Probe of the Intergalactic Medium and the Interstellar Medium in a Star-forming Galaxy in the First Gyr After the Big Bang Ryan Chornock1 , Edo Berger1 , Derek B. Fox2 , Ragnhild Lunnan1 , Maria R. Drout1 , Wen-fai Fong1 , Tanmoy Laskar1 , and Katherine C. Roth3 Draft version July 17, 2013 ABSTRACT We present high signal-to-noise ratio Gemini and MMT spectroscopy of the optical afterglow of the gamma-ray burst (GRB) 130606A at redshift z=5.913, discovered by Swift. This is the first high-redshift GRB afterglow to have spectra of comparable quality to those of z ≈ 6 quasars. The data exhibit a smooth continuum at near-infrared wavelengths that is sharply cut off blueward of 8410 ˚A due to absorption from Lyα at redshift z ≈ 5.91, with some flux transmitted through the Lyα forest between 7000−7800 ˚A. We use column densities inferred from metal absorption lines to constrain the metallicity of the host galaxy between a lower limit of [Si/H] −1.7 and an upper limit of [S/H] −0.5 set by the non-detection of S II absorption. We demonstrate consistency between the dramatic evolution in the transmission fraction of Lyα seen in this spectrum over the redshift range z = 4.9 to 5.85 with that previously measured from observations of high-redshift quasars. There is an extended redshift interval of ∆z=0.12 in the Lyα forest at z=5.77 with no detected transmission, leading to a 3σ upper limit on the mean Lyα transmission fraction of 0.2% (or τeff GP(Lyα)>6.4). This is comparable to the lowest-redshift Gunn-Peterson troughs found in quasar spectra. Some Lyβ and Lyγ transmission is detected in this redshift window, indicating that it is not completely opaque, and hence that the IGM is nonetheless mostly ionized at these redshifts. We set a 2σ upper limit of 0.11 on the neutral fraction of the IGM at the redshift of the GRB from the lack of a Lyα red damping wing, assuming a model with a constant neutral density. GRB 130606A thus for the first time realizes the promise of GRBs as probes of the first galaxies and cosmic reionization. Subject headings: gamma-ray bursts: individual (GRB 130606A) — intergalactic medium — dark ages, reionization, first stars — galaxies: abundances 1. INTRODUCTION Observations of Gunn-Peterson absorption troughs (Gunn & Peterson 1965) detected in the spectra of quasars at redshifts z ≈ 6 (Becker et al. 2001) have been interpreted as representing the end stages of the reion- ization of the intergalactic medium (IGM; e.g., Fan et al. 2006b). However, the polarization of the cosmic mi- crowave background radiation implies a higher typical redshift for reionization (Hinshaw et al. 2012). These ob- servations indicate that reionization was likely a complex process that occurred over a range in cosmic times with strong local variations. Long-duration gamma-ray bursts (GRBs) are produced by the deaths of massive stars (e.g., Woosley & Bloom 2006) and offer the promise of being important probes of this process with their highly luminous afterglows being detectable to large redshifts (Lamb & Reichart 2000). The most useful probe of the IGM opacity at high red- shifts has been Lyα seen in absorption of quasars, but quasars have some disadvantages as probes. At low red- shift, quasar measurements can interpolate across ab- sorptions in the Lyα forest, but at higher redshift the continuum is so highly absorbed that the proper level has 1 Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA; rchornock@cfa.harvard.edu 2 Department of Astronomy and Astrophysics, Pennsylvania State University, 525 Davey Laboratory, University Park, PA 16802, USA 3 Gemini Observatory, 670 North Aohoku Place, Hilo, HI 96720, USA to be inferred. The smooth power-law spectra of GRB afterglows are intrinsically much simpler than the com- plicated spectra of quasars, which have emission lines and sometimes broad absorption. Aside from practi- cal matters, quasars may not be unbiased probes of the high-redshift universe. The ultraviolet (UV) emission from quasars ionizes the region around them through the proximity effect. In addition, Mesinger (2010) has argued that the highest-redshift quasars are hosted by massive dark matter halos that are highly biased trac- ers of the underlying matter distribution. Even ignor- ing the ionizing radiation from the quasar, he finds that typical high-redshift quasars are located in regions that are overionized relative to the average due to the asso- ciated large-scale structure. GRBs are associated with sites of massive-star formation and will be more widely distributed at high redshift in galaxies of lower masses (Tanvir et al. 2012) than the rare massive black holes needed to power the most luminous quasars. There are now only three spectroscopically-confirmed GRBs at z > 6 despite active follow-up efforts of suspected high-z bursts: GRB 050904 at z=6.295 (Kawai et al. 2006; Haislip et al. 2006; Totani et al. 2006), GRB 080913 at z=6.733 (Greiner et al. 2009; Patel et al. 2010), and GRB 090423 at z ≈ 8.2 (Tanvir et al. 2009; Salvaterra et al. 2009). In addi- tion, GRB 090429B has a photometric redshift of ∼9.4 (Cucchiara et al. 2011). These objects have proven the existence of GRBs at these early epochs, and are begin- ning to demonstrate the application of GRBs to stud-
  • 2. 2 Chornock et al. ies of star formation in the early universe (Tanvir et al. 2012). However, despite their promise as bright probes (Lamb & Reichart 2000), high-z GRB afterglow studies of the IGM to date (Totani et al. 2006; Gallerani et al. 2008; Patel et al. 2010) have been hindered by the lim- ited signal-to-noise ratio (S/N) of the available spec- tra. This has now changed with the discovery of GRB 130606A and our follow-up observations. The Swift Burst Alert Telescope (BAT) triggered on GRB 130606A on 2013 June 6 at 21:04:39 (all dates and times are UT; Ukwatta et al. 2013). The high- energy emission was extended, with a duration of T90 = 277±19 s as seen by BAT (Barthelmy et al. 2013), firmly establishing GRB 130606A as a member of the long- duration population of GRBs. Subsequent ground-based followup observations located an optical transient (e.g., Jelinek et al. 2013; Xu et al. 2013a) that was brighter in the near-infrared (NIR; Nagayama 2013; Virgili et al. 2013). Initial spectroscopy from the Gran Telesco- pio Canarias (Castro-Tirado et al. 2013a) revealed that the afterglow redshift was z ≈ 6.1, which was subse- quently refined to z = 5.913 by several groups, includ- ing ours (Castro-Tirado et al. 2013b; Lunnan et al. 2013; Xu et al. 2013b). We present an analysis of the optical spectra of the afterglow of GRB 130606A, the first high-redshift GRB spectra to be comparable in quality to those of typical z ≈ 6 quasars. In section 2, we describe the data acqui- sition and reduction. We analyze the metal absorption lines from the host galaxy and intervening IGM systems in section 3, and set constraints on the abundances in the ISM of the z = 5.913 host galaxy. In section 4, we mea- sure the properties of the Lyα, Lyβ, and Lyγ absorption of the IGM and compare to previous observations of high- redshift quasars. We discuss the implications in section 5. 2. OBSERVATIONS We observed the afterglow of GRB 130606A starting at 04:04 on 2013 June 7 using the Blue Channel spec- trograph (Schmidt et al. 1989) on the 6.5-m MMT. We obtained a set of four 1200 s spectra as GRB 130606A rose from airmass 1.22 to 1.08 with a midpoint time of 04:45 (∆t = 7.68 hr after the BAT trigger). The 832 lines/mm grating and LP530 order-blocking filter were used to cover the range 7460−9360 ˚A. Our 1′′ -wide slit gave a spectral resolution of 2.0 ˚A full width at half- maximum (FWHM) and was oriented at the parallactic angle (Filippenko 1982) to reduce effects of differential atmospheric dispersion. We acquired the source by tak- ing advantage of the excellent pointing of the MMT to offset from a nearby bright star to the coordinates for the afterglow rapidly distributed by Xu et al. (2013a). These coordinates are somewhat offset from the precise radio position given by Laskar et al. (2013), possibly in- dicating that the object was not fully in the slit. We subsequently obtained four 1800 s observations of GRB 130606A using the Gemini Multi-Object Spectro- graph (GMOS; Hook et al. 2004) on the 8-m Gemini- North telescope, with a midpoint of 10:17 on 2013 June 7 (∆t = 13.1 hr). The spectra were obtained in nod-and- shuffle mode (Glazebrook & Bland-Hawthorn 2001) with the R400 grating and RG610 order-blocking filter. We took advantage of the new red-sensitive deep depletion detectors to use a grating setup with coverage longward of 1µm. The excellent seeing (0.5−0.7′′ ) over the course of observations allowed us to have a spectral resolution of ∼5 ˚A over the observed spectral range of 6200−10500 ˚A. The grating angle was adjusted by 50 ˚A between the sec- ond and third observations to fill in CCD chip gaps. The 1′′ -wide slit was oriented at a position angle of 90◦ , but the airmass was low (< 1.1). We use IRAF4 to perform basic two-dimensional image processing and extract the spectra after removal of cos- mic rays (van Dokkum 2001). We apply flux calibrations and correct for telluric absorption using our own IDL pro- cedures. Two aspects of the GMOS data reduction re- quire special attention. The first is that because Gemini does not generally obtain standard stars at the time of observations, the variable atmospheric H2O absorption strength can lead to errors in the correction for telluric absorption in the strong band near 9400 ˚A. We obtain archival observations of the standard star BD+28 4211 and are careful to scale the H2O portion of the telluric correction separately from the correction at the O2 ab- sorption bands. The second effect is that the Gemini data were taken in nod-and-shuffle mode. We reduce the Gemini data with two methods, once after applying the expected pair- wise subtraction of the data from the two nod positions and once ignoring the nod pairs and treating each spec- trum as a normal long-slit observation. The first method leads to better control of systematic sky subtraction er- rors produced by flat fielding errors and bright night sky emission lines, but comes at a cost of a factor of √ 2 in- crease in the Poisson errors in night sky dominated por- tions of the spectrum. In both cases, we align and stack the two-dimensional frames taken with the same grating tilt angle prior to spectral extraction. The two reduc- tions are highly consistent, so we splice them together at 8780 ˚A, using the second method at shorter wavelengths to obtain the best S/N, while the nod-and-shuffle reduc- tion was used at longer wavelengths where the systematic residuals from sky subtraction are otherwise problematic. We rebinned the calibrated one-dimensional spectra for each GMOS grating setup to a common vacuum helio- centric wavelength scale and combined them on a pixel- by-pixel basis, weighted by the inverse variance5 . The final MMT and GMOS spectra are plotted in Figure 1. The absolute flux scale is uncertain, both due to our use of an archival standard star at Gemini and the fading of the afterglow that is clearly evident during the observa- tions. Both spectra have been corrected for E(B − V ) = 0.02 mag of Galactic extinction (Schlafly & Finkbeiner 2011). In the continuum between 8500 and 8600 ˚A, the MMT spectrum has a median S/N per 0.71 ˚A pixel of ∼10, while for the Gemini data the median S/N per 1.38 ˚A pixel is ∼80 and decreasing to longer wavelengths. Before proceeding further, we normalize the spectra by fitting a power-law continuum to wavelength intervals in 4 IRAF is distributed by the National Optical Astronomy Ob- servatories, which are operated by the Association of Universities for Research in Astronomy, Inc., under cooperative agreement with the National Science Foundation. 5 We note that the sky is sufficiently bright that we are not in the regime pointed out by White et al. (2003) where Poisson weighting biases the resulting flux level near zero counts.
  • 3. GRB 130606A at z = 5.913 3 7000 8000 9000 10000 Observed Wavelength (Å) 0 1 2 3 4 5 6 Flux(fλ,10−17 ergcm−2 s−1 Å−1 ) GRB 130606A Gemini MMT Figure 1. Spectra of the optical afterglow of GRB 130606A from MMT/Blue Channel (green) and Gemini-N/GMOS (black), demonstrating impressive consistency after application of an ar- bitrary multiplicative scale factor. The noisier MMT spectrum has been binned up by a factor of 6 for display purposes. The solid red line shows a best-fit power law to line-free regions of the continuum. The two dashed red lines show hypothetical extreme systematic variations around the best-fit value. See Section 4.1 for details. the Gemini spectrum redward of the Lyα break devoid of strong absorption lines. The best-fit continuum is shown as the thick red line and has a slope of fλ∝λ−0.01±0.04 , although some curvature relative to a pure power law is evident. We divide both spectra by this continuum in all subsequent analysis. 3. ISM PROPERTIES OF A STAR-FORMING GALAXY AT z=5.913 The two spectra from different instruments presented in Figure 1 are highly consistent with each other. Both show a flat continuum (in fλ) at long wavelengths that drops sharply down to zero between 8435 and 8405 ˚A; flux detected blueward of 8405 ˚A is largely limited to wavelength intervals between 6500 and 7850 ˚A. This is indicative of absorption induced by the host galaxy at redshift z ≈ 5.91 and the Lyα forest at lower redshift. The normalized GMOS spectrum, displayed in Fig- ure 2, exhibits numerous absorption lines redward of Lyα that arise in the host galaxy and intervening systems. We fit a local continuum and single Gaussian profile to each absorption line in both the Gemini and MMT spectra and list the results in Table 1. The quoted uncertainties in line centroids and equivalent widths (EW) do not in- clude continuum placement uncertainties. We are able to confidently detect N V, Si II, Si II*, O I, O I*, C II, C II*, and Si IV from the host galaxy, as well as the red wing of Lyα absorption at a similar redshift. A weighted average of the narrow, unblended, low-ionization lines gives a redshift for GRB 130606A of z = 5.9134, a value which we adopt throughout this paper. The presence of fine-structure lines at this redshift identifies it as that of the GRB because the lower levels for these transitions are not normally populated unless pumped by the UV emission from the GRB afterglow (Prochaska et al. 2006; Vreeswijk et al. 2007). In addition to absorption from the interstellar medium (ISM) of the host galaxy, we detect absorption from at least four intervening lower-redshift systems. Xu et al. (2013b) previously reported two absorption systems at z = 2.310 and 3.451 in X-Shooter spectra. We con- firm the existence of the first one through absorption from Mg II and Fe II at an average redshift of z = 2.3105 ± 0.0001. We do not see the system at z = 3.451, although no strong absorption lines from it are expected in our observed wavelength range. In addition, we de- tect at least three more intervening systems, at weighted average redshifts of z = 2.5207 ± 0.0005, 4.647±0.001, and 5.806±0.001. The z=5.806 O I/C II/Si II system is particularly interesting in light of recent observational work to find similar systems at these redshifts to probe metal enrichment of the IGM associated with reioniza- tion (Becker et al. 2011). We note that C IV λ1548 from the z=4.647 system completely overlaps the Si II* λ1265 absorption from the host and that weak Fe II λ2586 at z=2.3105 is also likely blended with N V λ1239. One important advantage of the MMT data is that the host absorption lines are generally resolved, while the IGM metal lines are not. We show some unblended line profiles in Figure 3. The Fe II and Si II lines from lower-redshift absorbers have FWHMs consistent with the spectral resolution of ∼2 ˚A. However, the host Si II λ1260 absorption has a FWHM equivalent to ∼120 km s−1 after subtraction of the instrumental width in quadrature. Most of the host absorption lines appear to be consistent with a single absorption component, but the N V lines are both blueshifted relative to the low- ionization lines and have flat-bottomed profiles. They exhibit absorption spread across ∼200 km s−1 , which is unusually broad for N V absorption in GRB afterglows (Prochaska et al. 2008). The Gemini data cannot clearly resolve these features although some variation in FWHM is apparent. In particular, the Si IV doublet shows some structure, with the stronger λ1394 line exhibiting a blue wing extending out to a blueshift of ∼300 km s−1 . The N V and Si IV profiles probably reflect absorption in a wind or outflow from the host galaxy. The sharp cutoff of flux between 1215 and 1220 ˚A due to the wing of Lyα absorption in the host is indica- tive of a low hydrogen column density (log(NHI)< 20.3; all reported columns are in units of cm−2 ) in the host galaxy. A fit to the hydrogen column in the GMOS spectrum gives a best fit redshift of z=5.913±0.001, in excellent agreement with the results from the narrow metal lines, and log(NHI)=19.93±0.07, which we adopt in the subsequent analysis. A fit to the MMT spec- trum with the redshift fixed gives a consistent value of log(NHI)=19.99. This value is rather low for a GRB host galaxy (Jakobsson et al. 2006), as it falls below the cut- off of log(NHI)=20.3 for a damped Lyα system (DLA). In the compilation of hydrogen column measurements of z > 4 GRB host galaxies presented by Th¨one et al. (2013), only 1 out of 12 objects (GRB 080913) has a lower log(NHI) of 19.84 (Greiner et al. 2009; Patel et al. 2010). We set a lower limit to the metallicity by converting our absorption line measurements into column densities of the metal ions. In the optically-thin limit, the column NX of a given ion is given by log(NX) = 1.23 × 1020 cm−2 EWr(˚A) λr(˚A)2fij , (1) where λr and EWr are the wavelength and equivalent width of the transition in the rest frame, respectively, while fij is the oscillator strength. We use the atomic data collected by Prochaska et al. (2007), and report the results in the rightmost column of Table 1.
  • 4. 4 Chornock et al. 1200 1250 1300 1350 1400 1450 Rest Wavelength (Å) 0.0 0.5 1.0 1.5 NormalizedFlux(fλ) 8500 9000 9500 10000 Observed Wavelength (Å) ⊕ log(NHI) = 19.93 N V Si II/Si II* O I/Si II/O I* C II/C II* Si IV GRB 130606A at z=5.9134 C IIO ISi II (z=5.806) Si II C IV Al II(z=4.647) Fe II Mg II(z=2.5207) Fe II Mg II(z=2.3105) Figure 2. GMOS spectrum of GRB 130606A with prominent absorption lines labeled. Red lines and text identify absorption from the host galaxy at z = 5.913. The green dashed line marks a fit to the Lyα line at this redshift, with log(NHI) =19.93. The dramatic cutoff in flux at λ<1200 ˚A caused by Lyα at lower redshift is also apparent. At least four intervening absorption systems are present at lower redshift and are labeled in different colors with their redshifts identified. The gray box with the ⊕ symbol marks the region possibly containing residuals from the correction for telluric H2O absorption. The gray line at the bottom is the error spectrum. −200−100 0 100 200 Velocity (km s−1 ) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NormalizedFlux IGM z=4.647 Si II λ1527 −200−100 0 100 200 Velocity (km s−1 ) Host z=5.9134 Si II λ1260 −200−100 0 100 200 Velocity (km s−1 ) z=5.9134 NV λλ1239,1243 Figure 3. Absorption line profiles in our MMT spectrum. The left panel shows unresolved Si II λ1527 absorption from a foreground absorber (FWHM≈67 km s−1). The middle panel shows the Si II λ1260 absorption from the host, with intrinsic FWHM≈120 km s−1. The right panel shows the blueshifted and broader N V doublet absorption from the host, with the λ1243 profile shifted downward by 0.4 units. N V λ1239 is possibly blended with Fe II λ2586 from the z=2.3105 foreground absorber, but the profile is fairly consistent with the unblended λ1243. The numbers we present are lower limits to the column density because we make the assumption that all lines are optically thin. This is clearly wrong for the deep Si IV doublet and may be in error for other transitions as well (e.g., the Si II λ1260 profile in Figure 3). High-resolution spectroscopy of GRB afterglows has revealed that the line profiles can have deep saturated cores on top of ab- sorption from lower columns. These saturation effects lead to systematic biases in metallicity measurements for GRB hosts (Prochaska 2006), but the errors incurred are in the direction of making the observed columns too low. We can also take some confidence from the fact that our inferred columns are completely consistent between the GMOS data and the MMT data, which have a factor ∼3 higher spectral resolution. In fact, our MMT resolution is R = λ/∆λ ≈ 4500, approaching the moderate resolu- tion of spectrographs such as ESI at Keck or X-Shooter at VLT. In addition, ionization and dust depletion ef- fects can cause us to underestimate the column densities of some elements. With those caveats in mind, we use the derived columns in Table 1, our value for log(NHI) from the fit to the wing of Lyα absorption, and the solar photo- spheric abundances of Asplund et al. (2009) to constrain the metallicity of the host galaxy of GRB 130606A. High- ionization species such as Si IV and N V are not useful for a metallicity analysis as they trace more heavily ion- ized gas that may not contribute to log(NHI), as well as in this case having clearly different velocity distributions from the narrow lines (as described above). This leaves O I, C II, and Si II as possible tracers, in addition to their excited fine-structure transitions. In the MMT data, we measure [O/H]≈−2.0 for O I λ1302 only. The Gemini spectrum has a similar O I column, but also exhibits ab- sorption6 from O I*. The combined oxygen abundance 6 This line is blended with Si II λ1304, but we ascribe it com-
  • 5. GRB 130606A at z = 5.913 5 Table 1 Absorption Lines in GRB 130606A Spectra λobs (˚A) Line ID λrest (˚A) Redshift EWr (˚A)a log(NX, cm−2)b MMT spectrum 8562.44±0.32 N V 1238.82 5.9118±0.0003 0.37±0.06 14.24±0.07 8590.87±0.41 N V 1242.80 5.9125±0.0003 0.26±0.07 14.39±0.11 8607.94±0.16 Fe II 2600.17 2.3105±0.0001 0.21±0.07 13.16±0.14 8620.67±0.19 Si II 1526.71 4.6466±0.0001 0.23±0.07 13.94±0.13 8703.00±0.42 Unknownc · · · · · · 0.76±0.36 · · · 8713.65±0.15 Si II 1260.42 5.9133±0.0001 0.50±0.06 13.55±0.05 8744.28±0.32 Si II*d 1264.74 5.9139±0.0003 0.59±0.08 13.67±0.06 · · · +C IVd 1548.20 (4.647) 8759.56±1.05 C IV 1550.77 4.6485±0.0007 0.36±0.13 14.25±0.16 9002.73±0.34 O I 1302.17 5.9136±0.0003 0.32±0.12 14.64±0.16 Gemini spectrum 8563.33±0.05 N V 1238.82 5.9125±0.0001 0.38±0.01 14.25±0.01 8580.07±0.40 Si II 1260.42 5.8073±0.0003 0.05±0.01 12.53±0.10 8590.94±0.12 N V 1242.80 5.9125±0.0001 0.21±0.01 14.30±0.02 8608.02±0.13 Fe II 2600.17 2.3106±0.0001 0.23±0.02 13.21±0.04 8621.13±0.10 Si II 1526.71 4.6469±0.0001 0.24±0.02 13.97±0.03 · · · S II 1250.58 (5.9134) 0.04e 14.7 · · · S II 1253.81 (5.9134) 0.05 14.6 8703.51±0.40 Unknownc · · · · · · 0.44±0.09 · · · 8714.09±0.04 Si II 1260.42 5.9136±0.0001 0.43±0.01 13.48±0.01 8744.31±0.05 Si II*d 1264.74 5.9139±0.0001 0.60±0.01 13.67±0.01 · · · +C IVd 1548.20 (4.647) 8759.78±0.28 C IV 1550.77 4.6487±0.0002 0.29±0.03 14.15±0.04 8862.76±0.47 O I 1302.17 5.8062±0.0004 0.10±0.02 14.12±0.09 9003.10±0.19 O I 1302.17 5.9139±0.0001 0.22±0.03 14.47±0.05 9020.18±0.31 O I*d 1304.86 5.9127±0.0002 0.12±0.02 14.25±0.08 · · · +Si IId 1304.37 (5.9134) 9082.33±0.29 C II 1334.53 5.8056±0.0002 0.08±0.02 13.62±0.10 9103.74±0.64 Fe II 2586.65 2.5195±0.0002 0.10±0.04 13.40±0.17 9153.45±0.33 Fe II 2600.17 2.5203±0.0001 0.24±0.04 13.23±0.07 9225.28±0.11 C II 1334.53 5.9127±0.0001 0.35±0.02 14.24±0.03 9234.04±0.42 C II* 1335.71 5.9132±0.0003 0.18±0.03 14.01±0.07 9257.06±0.11 Mg II 2796.35 2.3104±0.0001 0.66±0.04 13.19±0.03 9281.16±0.16 Mg II 2803.53 2.3105±0.0001 0.41±0.04 13.28±0.04 9433.75±0.17 Al II 1670.79 4.6463±0.0001 0.27±0.03 12.76±0.05 9635.33±0.07 Si IV 1393.76 5.9132±0.0001 1.05±0.03 14.06±0.01 9698.09±0.10 Si IV 1402.77 5.9135±0.0001 0.86±0.04 14.27±0.02 9845.29±0.15 Mg II 2796.35 2.5208±0.0001 0.65±0.06 13.18±0.04 9870.25±0.62 Mg II 2803.53 2.5206±0.0002 0.44±0.11 13.31±0.11 a Rest frame b Lower limit due to optically-thin assumption c EW for unidentified lines are in observer frame d Redshifts and column densities are estimated assuming that the stronger component of blend dominates e Upper limits are 3σ in those data is [O/H]≈−1.95. The formal uncertain- ties for these abundance measurements are ∼0.1 dex, but the systematic errors clearly dominate. Adding the C II and C II* columns from GMOS gives a similar value of [C/H]≈−1.9. Determining the silicon column is a little more challenging. The foreground C IV λ1548 absorp- tion coincides with the strongest Si II* absorption line. We correct the Si II* λ1265 observed-frame EW value for C IV by subtracting an observed-frame EW of λ1548 equal to that measured for λ1551 and recalculate the col- umn. The exact correction factor has only a small effect on the final result. Combining the Si II and corrected Si II* columns gives a consistent estimate of [Si/H]≈−1.7 in both the MMT and Gemini spectra. pletely to O I*, which is more consistent with the central wave- length of the absorption line. As described before, our measurements are all lower limits because of dust depletion and the lack of con- straints on other ionization stages of the same elements. However, we can also set an upper limit on the metal- licity from the non-detection of S II lines. Sulfur has proven useful in previous studies of GRB host galaxies at high redshift (e.g., Kawai et al. 2006; Berger et al. 2006; Price et al. 2007) because the weak S II lines near 1250 ˚A are not likely to be saturated and sulfur does not deplete onto dust grains (Savage & Sembach 1996). An uniden- tified absorption line near 8703 ˚A in the blue wing of Si II λ1260 is near the expected position of S II λ1259.52 at the redshift of GRB 130606A, but formally the centroid is more than 10σ away from the correct wavelength, so we regard it as a non-detection. In addition, an implied S II column that large should also produce λ1254 absorp- tion that is not observed. We estimate observed-frame
  • 6. 6 Chornock et al. 0 1 2 3 4 5 6 7 −2.5 −2 −1.5 −1 −0.5 0 SII OI+OI* CII+CII* SiII+SiII* QSO−DLAs GRB−DLAs Field galaxies 130606A Redshift [M/H] Figure 4. Abundance estimates for the host of GRB 130606A compared to DLA systems in both GRB host galaxies and quasars (Rafelski et al. 2012; Th¨one et al. 2013). The brown boxes repre- sent the range in metallicity for star-forming 109−1011 M⊙ galaxies at z ≈ 2.3 (Erb et al. 2006) and z ≈ 3.1 (Mannucci et al. 2009). These results unavoidably conflate measurements using a number of different tracers (e.g., oxygen emission lines in the the field galax- ies and metal absorption lines in the DLA samples). EW 3σ upper limits of ∼0.3 ˚A for any absorption line near S II λλ1250, 1254. These translate into an upper limit on the metallicity of [S/H] −0.5. We compare these metallicity contraints for GRB 130606A to abundance measurements for DLA systems in both GRB host galaxies (Th¨one et al. 2013) and quasar absorption systems (Rafelski et al. 2012) in Figure 4. We also show the ranges reported in star-forming field galaxy samples in the mass range of 109 −1011 M⊙ at two different redshifts of z ≈ 2.3 and z ≈ 3.1 (Erb et al. 2006; Mannucci et al. 2009). The metallicity range for GRB 130606A is at the low end of the dispersion in field galaxy samples at lower redshift, but comparable to the GRB DLA sample. The point in Figure 4 at z = 6.295 from GRB 050904 (Kawai et al. 2006) is of special interest because it repre- sents the most complete abundance analysis of a galaxy at a redshift comparable to GRB 130606A. Kawai et al. (2006) measured the abundance pattern using the ex- act same lines we use here, except that they detect the S II lines, so systematic issues due to different tracers are minimized. They found [C/H]≈−2.4, [O/H]≈−2.3, [Si/H]≈−2.6, and [S/H]≈−1.0. In comparison with our results from above, the individual numbers are all ∼0.5 dex higher in the host of GRB 130606A than in that of GRB 050904, likely indicating a metallicity dif- ference of about that magnitude with a similar depletion pattern. It is interesting to note that even at these high redshifts, the ISMs of these star-forming galaxies show clear evidence of chemical enrichment. 4. OPACITY OF THE IGM AT z ≈ 5 − 6 The spectra we present in Figures 1 and 2 exhibit a well-detected NIR continuum that drops to near zero at 8400 ˚A, but then slowly rises to a peak near 7100 ˚A before turning over and dropping off blueward of that. This continuum slope in the absorbed part of the spectrum represents real evolution in the optical depth of the Lyα forest over the redshift range 5 < z < 6. The very high S/N of our data allow us to place constraints on the opacity of the IGM to Lyα that are comparable to those from individual high-redshift quasars. We divide our GMOS spectrum by the best-fit contin- uum marked on Figure 1 and then display the spectrum in Figure 5 with the wavelength scale converted to red- shift relative to Lyα, Lyβ, and Lyγ. The transmitted flux is clearly broken up into a “picket fence” of individual windows of transmission through the Lyα forest. These windows are rare at z ≈ 5.8, but become increasingly common at lower redshift until at z < 5 they start to overlap. Figure 1 demonstrates the consistency of these windows of transmission in two spectra of different reso- lutions. Comparison of the three Lyman-series transitions shows that the pattern of transmission windows is gen- erally the same over the limited overlap region, with the weaker higher-order lines having greater transmis- sion than Lyα, as expected. There are two interesting exceptions. The first is that there is a weak window of transmission present near z ≈ 5.803 in both Lyβ and Lyγ, but not Lyα, in a redshift interval that is otherwise fairly dark. This is intriguingly close to the redshift of the z=5.806 system that we detect in metal lines, indicating a moderate local increase in ionization (but not enough for Lyα to become transparent) correlated with the same large scale structure hosting the absorber. Spatial cor- relations between metal enrichment and ionization are predicted to be sensitive probes of the reionization pro- cess and the pollution of the IGM by the earliest galaxies (Oh 2002; Furlanetto & Loeb 2003; Becker et al. 2011). Second, there is a clear transmission window present in both Lyα and Lyγ between z=5.69−5.70 that is missing from Lyβ. Although this region falls squarely in the at- mospheric B band, the spectrum has been corrected for telluric absorption and some flux might be expected to be detected in data of this quality. Instead, we note that the Lyα absorption associated with the z = 4.647 system we detect in metal lines would lie at exactly this redshift relative to Lyβ. This serves as a cautionary reminder that some absorption we attribute to the Lyman series can be due to either metal lines or Lyα at lower redshift. We now compare the transmission along the line of sight to this high-redshift GRB with previous studies using high-redshift quasars as background light sources. Songaila (2004) used high-quality moderate and high- resolution Keck spectra of a sample of quasars to measure the mean transmission of Lyα. She computed the average transmission in 15 ˚A bins in the rest frame of each quasar between 1080 and 1185 ˚A (limits chosen to avoid Lyβ and Lyα proximity effects from each quasar) and measured the mean and its variation along different lines of sight. The thick solid line in Figure 6 marks the mean transmis- sion measured from the quasars and the thick gray band marks the observed minimum and maximum values in her sample. We measure the transmission in wavelength bins of the same size over the interval 1035−1200 ˚A. The low log(NHI) of the host of GRB 130606A allows us to measure the IGM opacity as close to the host redshift as 1200 ˚A without interference from the blue wing of Lyα (cf. Figure 2). The red boxes in Figure 6 mark our mea- surements. The formal error bars are far smaller than the
  • 7. GRB 130606A at z = 5.913 7 5.0 5.2 5.4 5.6 5.8 6.0 Absorption Redshift 0.0 0.1 0.2 0.3 0.4 0.5 0.6 TransmissionFraction ⊕ Lyα Lyβ⊕ Lyγ Figure 5. Transmission fraction of Lyman-series transitions versus redshift. The spectrum corresponding to Lyβ has been shifted upward by 0.2 and that of Lyγ by 0.4, with the horizontal dashed lines marking the new zero levels. The red, green, and blue lines represent the 1σ uncertainties about zero. The gray bars with ⊕ symbols on the Lyα and Lyβ spectra represent regions possibly affected by imperfect correction for telluric absorption from the A and B bands, respectively. The black bar from z = 5.725 − 5.79 marks the longest dark trough present in Lyα. The vertical dashed line at z = 5.9134 marks the inferred redshift of the host galaxy from metal lines. 4.5 5.0 5.5 6.0 Redshift 0.001 0.010 0.100 1.000 LyαTransmittedFraction Songaila 2004 GRB 130606A Figure 6. Transmission fraction of Lyα in 15 ˚A bins from 1035−1200 ˚A (in the rest frame of GRB 130606A). The thick black line marks the mean values determined by Songaila (2004) with the gray region marking the range of observed values. The plotted up- per limit is 3σ. plotted symbols. The strong fluctuations in our measure- ments above and below the mean of the quasars are due to real cosmic variance caused by large-scale structure in the Lyα forest. We convert our transmission measurements into an ef- fective optical depth following the definition of Fan et al. (2006b) that τeff GP = − ln(T ), (2) where T is the average transmission relative to the con- tinuum. This is only an effective rather than true opti- cal depth because transmission in a clumpy IGM with variable density and ionization is dominated by low- density regions (Songaila & Cowie 2002; Fan et al. 2002; Oh & Furlanetto 2005). We compute this τeff GP(Lyα) in bins of size ∆z=0.15 relative to Lyα to facilitate direct comparison with the compilation of results from high- redshift quasars of Fan et al. (2006b). In addition, we compute the same statistic for Lyγ and Lyβ in one and two bins, respectively. We use the same statistical correc- tion as Fan et al. (2006b) for foreground Lyα absorption and the same conversion factors to determine τeff GP(Lyα) from τeff GP(Lyβ) and τeff GP(Lyγ), so our results are calcu- lated as consistently as possible with the quasar data. We show the points from GRB 130606A in Figure 7 and report the numbers in Table 2. The data points from the GRB 130606A line of sight are generally consistent with the evolution of τeff GP(Lyα) seen along the quasar sight lines and fall within the ob- served range of variation, although our highest redshift bin has an optical depth on the high side relative to the quasar measurements. Our single Lyγ point, cov- ering z=5.70−5.85, is the first using that tracer at z < 6 and implies a substantially higher τeff GP(Lyα)=12.5 than that measured from Lyα or Lyβ. This was also seen by Fan et al. (2006b) at z > 6 in a very limited num- ber of sightlines. Lyγ measurements in the quasars are made difficult by the necessity of avoiding Lyδ at the blue end of the spectral window and the quasar’s proximity zone at the red end. The interpretation of differences in τeff GP determined from multiple proxies is complicated because the differing strengths of the transitions makes them differently sensitive to inhomogeneity in the IGM and requires comparison to numerical simulations. Re- cent work has focused on the statistics of dark pixels in the Lyα forest as a probe of the neutral fraction in the high-redshift universe to avoid dependence on mod- els (McGreer et al. 2011). Fan et al. (2006b) emphasized that the quasar data at z > 5.5 show an acceleration in the evolution of the effective optical depth with redshift
  • 8. 8 Chornock et al. 4.0 4.5 5.0 5.5 6.0 Redshift 0 1 2 3 4 5 6 7 τGP eff (Lyα) Becker et al (2013) Fan et al. (2006) GRB 130606A (Lyα) GRB 130606A (Lyβ) Figure 7. The effective optical depth to Lyα, τeff GP(Lyα), com- puted in bins of width ∆z = 0.15 in both Lyα and Lyβ. Our estimate of τeff GP from the Lyγ absorption in the highest-redshift bin (z=5.775) is 12.5 and thus off the scale of the rest of the points on the plot. The error bars were computed from the ex- treme “Low” and “High” continuum models discussed in section 4.1 and represent bounds on the systematic uncertainties. The statistical errors are smaller than the plotted data points. The comparison points were measured in Lyα absorption of individual high-redshift quasars from Fan et al. (2006b) and a large sample of lower-redshift quasars from Becker et al. (2013). relative to a power law extrapolation from data at lower redshifts (Songaila 2004; Becker et al. 2013), and that the scatter increases with redshift, possibly indicating that the tail end of reionization was a patchy process. The interpretation that there is an observed change in slope of τeff GP associated with late reionization has been challenged by other studies (e.g., Becker et al. 2007). 4.1. Uncertainties We now consider the sources of uncertainty in these optical depth measurements. We do not list formal error bars in Table 2 because the statistical errors are com- pletely negligible and dominated by systematics. To demonstrate this point, we note that the median error bar per 1.38 ˚A spectral pixel in the GMOS data between zLyα of 5 and 6 is 0.8% of the unabsorbed continuum. The large redshift bins we use to compare to the results of Songaila (2004) and Fan et al. (2006b) then average over many such pixels (∆z=0.15 is ∼132 pixels). Another check on our errors is to compare our two independent spectra from different instruments. Results from both MMT and GMOS are given in Table 2 and are mostly similar, except for the darkest part of the Lyα absorp- tion between redshifts 5.7 and 5.8, where the MMT data show more transmission. This is caused by the extra bit of flux visible near 8150 ˚A in Figure 1. This effect was caused by inadequate flat fielding and removal of the slit function in the MMT data leading to uneven back- ground levels along the slit. It results in a slight excess of flux per pixel after background subtraction that is only visible near zero flux levels when the data are binned up. The exact amount of this positive flux was found to vary depending the exact background apertures chosen. We trust the GMOS data much more due to their sig- nificantly higher S/N and our ability to check with the nod-and-shuffle reduction, which has much better control over the flat-fielding and sky subtraction uncertainties at flux levels near zero. Our results are presented as transmission fractions, so we also need to examine our assumptions about the proper level of the unabsorbed continuum. We have been using our best-fit power law so far in this analysis. In section 2, we noted that the continuum did appear to be curved relative to a single power law. Multiband photom- etry extending to the NIR reported by the RATIR and GROND collaborations (Butler et al. 2013; Afonso et al. 2013) implies a bluer power law than the flatter contin- uum we have fit to our data over a more limited wave- length range. These observations can easily be recon- ciled by a small amount of dust producing curvature in the spectral energy distribution given that our observa- tions are at rest-frame wavelengths <1450 ˚A. However, we will demonstrate that our results are robust for any reasonable value for the true shape of the continuum. We show two extreme hypothetical alternative contin- uum shapes in Figure 1 as dashed lines. All assumed continuum shapes have to be constrained to pass near the actual observed continuum near 8650 ˚A. In addition, there is a peak in the IGM transmission near 7150 ˚A that the true unabsorbed continuum must pass above, which sets a limit on how red the continuum can be. This power-law slope is shown by the lower dashed line on the figure. As a maximally blue model, we take a power law with a slope as different from the best fit model as the maximally red one, but in the opposite direction from the best fit, and also constrain it to match the data near 8650 ˚A. We normalize the GMOS data by both of these extreme models and computed the transmission fraction in the same redshift bins as above. We list the results with these alternative continuum normalizations (called “Low” and “High”) for two redshift bins in Table 2. Even in our bluest bins, at z ≈ 5, the difference in τeff GP(Lyα) is only ∼0.1. At higher redshift, closer in wavelength to where the continua are normalized, the effect is even smaller. In part, this is because τeff GP depends only loga- rithmically on the continuum normalization. We empha- size that these alternative normalizations are far larger than anything motivated by the data and yet they do not materially affect the results. The maximal effects on the GRB 130606A data points in Figures 6 and 7 induced by these choices of continuum slope are smaller than the points on the plots. We conclude that the uncertainties in our optical depth measurements are negligible compared to the dominant systematics in interpretation caused by theoretical un- certainties and cosmic variance along different lines of sight. In particular, these measurements would benefit from an improved theoretical understanding of the dif- ferences between τeff GP(Lyα) measured from the different Lyman series lines. 4.2. Dark GP Trough We examine our spectra for continuous regions of extremely high opacity and find that there is no de- tectable Lyα transmission in the redshift range of z=5.71−5.83, with a 3σ upper limit of TLyα 0.2%, or τeff GP(Lyα)>6.4. This is comparable in width and optical depth to the lowest-redshift Gunn-Peterson (Gunn & Peterson 1965) troughs previously claimed,
  • 9. GRB 130606A at z = 5.913 9 Table 2 GRB 130606A Lyα Transmission Redshift Range Line Spectruma Continuumb Transmission τeff GP(Lyα) 4.86−4.95c Lyα G BF 0.406 0.90 4.95−5.10 Lyα G BF 0.089 2.41 4.95−5.10 Lyα G L 0.099 2.31 4.95−5.10 Lyα G H 0.084 2.48 5.10−5.25 Lyα G BF 0.100 2.30 5.13−5.25d Lyα M BF 0.109 2.22 5.25−5.40 Lyα G BF 0.168 1.78 5.25−5.40 Lyα M BF 0.164 1.81 5.40−5.55 Lyα G BF 0.079 2.54 5.40−5.55 Lyα M BF 0.081 2.52 5.55−5.70 Lyα G BF 0.022 3.80 5.55−5.70 Lyα M BF 0.021 3.88 5.55−5.70 Lyβ G BF 0.228 3.33 5.70−5.85 Lyα G BF 0.005 5.29 5.70−5.85 Lyα G L 0.005 5.24 5.70−5.85 Lyα G H 0.005 5.29 5.70−5.85 Lyα M BF 0.016 4.13 5.70−5.85 Lyβ G BF 0.074 5.85 5.70−5.85 Lyγ G BF 0.059 12.5 Darkest trough 5.71−5.83 Lyα G BF 0.0017 6.36 5.71−5.83 Lyβ G BF 0.062 6.22 5.71−5.83 Lyγ G BF 0.026 13.0 5.725−5.79 Lyα G BF 0.0022 6.13 5.725−5.79 Lyβ G BF 0.019 8.86 5.725−5.79 Lyγ G BF 0.023 16.6 a G=Gemini, M=MMT b Continuum normalization: BF= Best fit, L = Low, H=High c Lower redshift limit truncated to avoid Lyβ absorption from host d Lower redshift limit set by spectral range which were identified by Fan et al. (2006b) in the quasars SDSS J104845.05+463718.3 (Fan et al. 2003) and SDSS J125051.93+313021.9 (Fan et al. 2006a). However, there are clear spikes of Lyβ transmission at the ends of this redshift interval, including the interesting peak near z=5.803 noted previously to be almost coincident in red- shift with a foreground absorber, so we also define a nar- rower redshift range of z=5.725−5.79 to isolate the dark- est part of the trough. This more restricted interval is the one marked with a black bar on Figure 5. The T and τeff GP(Lyα) measurements for these two interval definitions are tabulated in Table 2. Despite the lack of detectable Lyα, some flux is present in the Lyβ and Lyγ windows, indicating that the redshift interval is far from opaque and still highly ionized. The transmission of Lyγ over the core redshift range implies that τeff GP(Lyα) is ∼17. 4.3. Neutral fraction in the IGM The afterglow spectra of GRBs can also be used to probe the neutral fraction of the IGM (Miralda-Escude 1998; Barkana & Loeb 2004). If a high-redshift GRB oc- curs when the universe still contains a substantial frac- tion of neutral hydrogen, the red damping wing of this material will affect the shape of the cutoff in flux at Lyα. Totani et al. (2006) have searched for such an effect in the spectrum of the z=6.295 GRB 050904 and found a best fit consistent with zero neutral hydrogen, although their analysis was hampered by the strong DLA of the host galaxy. Patel et al. (2010) have also performed an analysis on the z=6.733 GRB 080913 and again found a null result. The much lower log(NHI) we determine here than for GRB 050904 and the higher S/N of our data rel- ative to the spectrum of GRB 080913 allow us a cleaner test, although the neutral fraction is not expected to be sufficiently high to be detectable at this lower redshift given the limits on Lyα opacity discussed above. We use the approximations of Miralda-Escude (1998) to model the IGM neutral density as a constant over the redshift range of interest. A pure IGM fit to the Lyα cutoff in the GMOS spectrum is a significantly worse fit than the single absorber model from Section 3. In addi- tion, minima in the Lyβ and Lyγ absorption spectra at the host redshift (Figure 5) demonstrate the need for at least some absorption from the host galaxy. A combined fit with a host galaxy absorber (fixed to the redshift of the metal lines) along with the IGM model can fit the data as long as the IGM neutral fraction (xHI) is be- low 0.05, but is not required by the data. We conclude that our spectra are consistent with zero neutral frac- tion and xHI < 0.11 at the 2σ level (Figure 8). However, allowing more realistic models than a simple constant neutral density in the IGM makes the interpretation of Lyα damping wings more problematic and significantly relaxes these constraints (Mesinger & Furlanetto 2008; McQuinn et al. 2008). We note that although most GRB host galaxies are DLAs (Jakobsson et al. 2006), two out of the three high- est redshift events with good measurements of the host hydrogen columns have log(NHI)< 20 (GRBs 130606A and 080913), which may bode well for the detectability of the red damping wing effect in the future at higher redshift. An evolution in the log(NHI) values observed in GRB afterglow spectra would also have important im-
  • 10. 10 Chornock et al. 19.3 19.4 19.5 19.6 19.7 19.8 19.9 20 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 log(NH / cm −2 ) x H Figure 8. Contours (1, 2, and 3σ) of fits to the red wing of Lyα absorption when a simple model with constant xHI in the IGM (Miralda-Escude 1998) is allowed in addition to an absorber at the host redshift with a column density of log(NHI). Models treating IGM inhomogeneity more realistically will significantly re- lax these constraints (Mesinger & Furlanetto 2008; McQuinn et al. 2008), but the best fit will still be consistent with zero neutral frac- tion. plications for reionization. Chen et al. (2007) have used the distribution of log(NHI) values observed in GRB af- terglow spectra as a proxy to measure the escape frac- tion of UV ionizing photons from star-forming galaxies. If the GRB host galaxy log(NHI) distribution really is lower at higher redshift, then the higher escape frac- tions would imply that star-forming galaxies can more efficiently reionize the universe. Data from more lines of sight at these high redshifts are necessary to test this hypothesis. 5. CONCLUSIONS We have presented high S/N spectra of the optical af- terglow of GRB 130606A at z=5.9134, the first high- redshift afterglow to have a dataset of similar quality for IGM studies to those published for individual high- z quasars, although our spectral resolution was not as high as in the best quasar datasets (e.g., White et al. 2003). For comparison, we estimate that the continuum magnitude at the time of the GMOS observations was ∼19.6 mag (Perley & Cenko 2013; Afonso et al. 2013), or M 1250˚A ≈ −27 mag (AB). This is comparable to the most luminous quasars known at similar redshifts (Fan et al. 2006b) and we were able to obtain 1.3 hr of spectroscopy with the 6.5-m MMT and 2 hr with the 8-m Gemini-N telescope. These observations represent the first dataset on the evolution of the IGM opacity at these redshifts using a tracer other than quasars, which Mesinger (2010) has argued are sufficiently biased tracers of large-scale struc- ture that they will overestimate the degree of ionization of the IGM. It is therefore reassuring that the general trend of the quasar observations is reproduced in our dataset, although an individual sightline is of limited util- ity for making firm conclusions because of cosmic vari- ance. Once we have obtained a sample of GRB afterglow spectra at high redshift, it will be interesting to compare the statistics of Lyα absorption using both tracers. We also find an extended region of Lyα absorption from z=5.71 to 5.83, similar to the lowest-redshift Gunn- Peterson troughs found in quasar absorption spectra, over which we place a 3σ upper limit of 0.2% on the Lyα transmitted fraction, although Lyβ and Lyγ are not completely absorbed. The pixel-scale statistics (e.g., McGreer et al. 2011) of dark regions in Lyα absorption windows such as this in a larger sample of GRB after- glows will offer a complementary view of reionization to the studies of quasars. In addition, we have identified numerous metal absorp- tions on the bright GRB afterglow continuum at wave- lengths redward of Lyα at the host redshift, due to both the IGM and the ISM of the host galaxy. A metal ab- sorption system at z=5.806 appears to be correlated with a region of slightly enhanced transmission in the Lyβ and Lyγ forests. We have used the host ISM absorption lines to bracket the gas phase abundances for this star- forming galaxy at z=5.913 between [Si/H] −1.7 and [S/H] −0.5. The low hydrogen column density in this host galaxy (log(NHI)= 19.93±0.07) as well as that of the z=6.7 GRB 080913 may be evidence for an evolving es- cape fraction for UV photons from star-forming galaxies at high redshift. We thank the Gemini and MMT staffs for their as- sistance in obtaining these observations. The Berger GRB group at Harvard is supported by the National Science Foundation under Grant AST-1107973 and by NASA/Swift AO8 grant NNX13AJ64G. Based in part on observations obtained under Program ID GN-2013A- Q-39 (PI: Cucchiara) at the Gemini Observatory, which is operated by the Association of Universities for Re- search in Astronomy, Inc., under a cooperative agree- ment with the NSF on behalf of the Gemini partnership: the National Science Foundation (United States), the Science and Technology Facilities Council (United King- dom), the National Research Council (Canada), CON- ICYT (Chile), the Australian Research Council (Aus- tralia), Minist´erio da Ciˆencia, Tecnologia e Inova¸c˜ao (Brazil) and Ministerio de Ciencia, Tecnolog´ıa e Inno- vaci´on Productiva (Argentina). Some observations re- ported here were obtained at the MMT Observatory, a joint facility of the Smithsonian Institution and the Uni- versity of Arizona. Facilities: Gemini:Gillett (GMOS-N), MMT (Blue Channel Spectrograph) REFERENCES Afonso, P., Kann, D. A., Nicuesa Guelbenzu, A., et al., GRB Coordinates Network, 14807, 1 Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARA&A, 47, 481 Barkana, R., & Loeb, A. 2004, ApJ, 601, 64 Barthelmy, S., et al., GRB Coordinates Network, 14819, 1 Becker, G. D., Rauch, M., & Sargent, W. L. W. 2007, ApJ, 662, 72 Becker, G. D., Sargent, W. L. W., Rauch, M., & Calverley, A. P. 2011, ApJ, 735, 93 Becker, G. D., Hewett, P. C., Worseck, G., & Prochaska, J. X. 2013, MNRAS, 430, 2067 Becker, R. H., Fan, X., White, R. L., et al. 2001, AJ, 122, 2850 Berger, E., Penprase, B. E., Cenko, S. B., et al. 2006, ApJ, 642, 979
  • 11. GRB 130606A at z = 5.913 11 Butler, N., Watson, A. M., Kutyrev, A., et al., GRB Coordinates Network, 14799, 1 Castro-Tirado, A. J., S´anchez-Ram´ırez, R., Jelinek, M., et al. 2013a, GRB Coordinates Network, 14790, 1 Castro-Tirado, A. J., S´anchez-Ram´ırez, R., Gorosabel, J., et al. 2013b, GRB Coordinates Network, 14796, 1 Chen, H.-W., Prochaska, J. X., & Gnedin, N. Y. 2007, ApJ, 667, L125 Cucchiara, A., Levan, A. J., Fox, D. B., et al. 2011, ApJ, 736, 7 Erb, D. K., Shapley, A. E., Pettini, M., et al. 2006, ApJ, 644, 813 Fan, X., Narayanan, V. K., Strauss, M. A., et al. 2002, AJ, 123, 1247 Fan, X., Strauss, M. A., Schneider, D. P., et al. 2003, AJ, 125, 1649 Fan, X., Strauss, M. A., Richards, G. T., et al. 2006a, AJ, 131, 1203 Fan, X., Strauss, M. A., Becker, R. H., et al. 2006b, AJ, 132, 117 Filippenko, A. V. 1982, PASP, 94, 715 Furlanetto, S. R., & Loeb, A. 2003, ApJ, 588, 18 Gallerani, S., Salvaterra, R., Ferrara, A., & Choudhury, T. R. 2008, MNRAS, 388, L84 Glazebrook, K., & Bland-Hawthorn, J. 2001, PASP, 113, 197 Greiner, J., Kr¨uhler, T., Fynbo, J. P. U., et al. 2009, ApJ, 693, 1610 Gunn, J. E., & Peterson, B. A. 1965, ApJ, 142, 1633 Haislip, J. B., Nysewander, M. C., Reichart, D. E., et al. 2006, Nature, 440, 181 Hinshaw, G., Larson, D., Komatsu, E., et al. 2012, arXiv:1212.5226 Hook, I. M., Jørgensen, I., Allington-Smith, J. R., et al. 2004, PASP, 116, 425 Jakobsson, P., Fynbo, J. P. U., Ledoux, C., et al. 2006, A&A, 460, L13 Jelinek, M., Gorosabel, J., Castro-Tirado, A. J., et al. 2013, GRB Coordinates Network, 14782, 1 Kawai, N., Kosugi, G., Aoki, K., et al. 2006, Nature, 440, 184 Lamb, D. Q., & Reichart, D. E. 2000, ApJ, 536, 1 Laskar, T., Zauderer, A., & Berger, E. 2013, GRB Coordinates Network, 14817, 1 Lunnan, R., Drout, M., Chornock, R., & Berger, E. 2013, GRB Coordinates Network, 14798, 1 Mannucci, F., Cresci, G., Maiolino, R., et al. 2009, MNRAS, 398, 1915 McGreer, I. D., Mesinger, A., & Fan, X. 2011, MNRAS, 415, 3237 McQuinn, M., Lidz, A., Zaldarriaga, M., Hernquist, L., & Dutta, S. 2008, MNRAS, 388, 1101 Mesinger, A. 2010, MNRAS, 407, 1328 Mesinger, A., & Furlanetto, S. R. 2008, MNRAS, 385, 1348 Miralda-Escude, J. 1998, ApJ, 501, 15 Nagayama, T. 2013, GRB Coordinates Network, 14784, 1 Oh, S. P. 2002, MNRAS, 336, 1021 Oh, S. P., & Furlanetto, S. R. 2005, ApJ, 620, L9 Patel, M., Warren, S. J., Mortlock, D. J., & Fynbo, J. P. U. 2010, A&A, 512, L3 Perley, D. A., & Cenko, S. B. 2013, GRB Coordinates Network, 14804, 1 Price, P. A., Songaila, A., Cowie, L. L., et al. 2007, ApJ, 663, L57 Prochaska, J. X. 2006, ApJ, 650, 272 Prochaska, J. X., Chen, H.-W., & Bloom, J. S. 2006, ApJ, 648, 95 Prochaska, J. X., Chen, H.-W., Bloom, J. S., et al. 2007, ApJS, 168, 231 Prochaska, J. X., Dessauges-Zavadsky, M., Ramirez-Ruiz, E., & Chen, H.-W. 2008, ApJ, 685, 344 Rafelski, M., Wolfe, A. M., Prochaska, J. X., Neeleman, M.,& Mendez, A. J. 2012, ApJ, 755, 89 Salvaterra, R., Della Valle, M., Campana, S., et al. 2009, Nature, 461, 1258 Savage, B. D., & Sembach, K. R. 1996, ARA&A, 34, 279 Schlafly, E. F., & Finkbeiner, D. P. 2011, ApJ, 737, 103 Schmidt, G. D., Weymann, R. J., & Foltz, C. B. 1989, PASP, 101, 713 Songaila, A. 2004, AJ, 127, 2598 Songaila, A., & Cowie, L. L. 2002, AJ, 123, 2183 Tanvir, N. R., Fox, D. B., Levan, A. J., et al. 2009, Nature, 461, 1254 Tanvir, N. R., Levan, A. J., Fruchter, A. S., et al. 2012, ApJ, 754, 46 Th¨one, C. C., Fynbo, J. P. U., Goldoni, P., et al. 2013, MNRAS, 428, 3590 Totani, T., Kawai, N., Kosugi, G., et al. 2006, PASJ, 58, 485 Ukwatta, T .N., Barthelmy, S. D., Gehrels, N., et al. 2013, GRB Coordinates Network, 14781, 1 van Dokkum, P. G. 2001, PASP, 113, 1420 Virgili, F. J., Mundell, C. G., & Melandri, A. 2013, GRB Coordinates Network, 14785, 1 Vreeswijk, P. M., Ledoux, C., Smette, A., et al. 2007, A&A, 468, 83 White, R. L., Becker, R. H., Fan, X., & Strauss, M. A. 2003, AJ, 126, 1 Woosley, S. E., & Bloom, J. S. 2006, ARA&A, 44, 507 Xu, D., Malesani, D., Schulze, S., et al. 2013, GRB Coordinates Network, 14783, 1 Xu, D., Malesani, D., Schulze, S., et al. 2013, GRB Coordinates Network, 14816, 1