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A complete versionPreprint typeset using LATEX style emulateapj v. 08/22/09
MULTI-SIGHTLINE OBSERVATION OF NARROW ABSORPTION LINES IN LENSED QUASARSDSS J1029+26231,2
Toru Misawa3, Cristian Saez4,5, Jane C. Charlton6, Michael Eracleous6,7, George Chartas8, Franz E.Bauer9,10,11, Naohisa Inada12, and Hisakazu Uchiyama13
A complete version
ABSTRACTWe exploit the widely-separated images of the lensed quasar SDSS J1029+2623 (zem=2.197, θ =
22′′.5) to observe its outflowing wind through two different sightlines. We present an analysis of threeobservations, including two with the Subaru telescope in 2010 February (Misawa et al. 2013) and2014 April (Misawa et al. 2014b), separated by 4 years, and one with the Very Large Telescope,separated from the second Subaru observation by ∼2 months. We detect 66 narrow absorption lines(NALs), of which 24 are classified as intrinsic NALs that are physically associated with the quasarbased on partial coverage analysis. The velocities of intrinsic NALs appear to cluster around valuesof vej ∼ 59,000, 43,000, and 29,000 km s−1, which is reminiscent of filamentary structures obtainedby numerical simulations. There are no common intrinsic NALs at the same redshift along the twosightlines, implying that the transverse size of the NAL absorbers should be smaller than the sightlinedistance between two lensed images. In addition to the NALs with large ejection velocities of vej >1,000 km s−1, we also detect broader proximity absorption lines (PALs) at zabs ∼ zem. The PALs arelikely to arise in outflowing gas at a distance of r ≤ 620 pc from the central black hole with an electrondensity of ne ≥ 8.7×103 cm−3. These limits are based on the assumption that the variability of thelines is due to recombination. We discuss the implications of these results on the three-dimensionalstructure of the outflow.Subject headings: quasars: absorption lines – quasars: individual (SDSS J1029+2623)
1. INTRODUCTIONAGN outflows, potentially powered by one or more of
a variety of mechanisms (e.g., radiation force, magneticpressure, and magnetocentrifugal force), are importantingredients of quasar central engines and likely play a rolein quasar and galaxy formation/evolution because: 1)they extract angular momentum from accretion disks al-lowing gas accretion to proceed (e.g., Blandford & Payne1982; Emmering, Blandford, and Shlosman 1992; Konigl& Kartje 1994; Everett 2005), leading to the growth of
Electronic address: [email protected] Based on data collected at Subaru Telescope, which is operated
by the National Astronomical Observatory of Japan.2 Based on observations obtained at the European Southern
Observatory at La Silla, Chile in programs 092.B-0512(A)3 School of General Education, Shinshu University, 3-1-1 Asahi,
Matsumoto, Nagano 390-8621, Japan4 Korea Astronomy and Space Science Institute (KASI), 61-1,
Hwaam-dong, Yuseong-gu, Deajeon 305-348, Republic of Korea5 Department of Astronomy, University of Maryland, College
Park, MD 20742-24216 Department of Astronomy and Astrophysics, Pennsylvania
State University, University Park, PA 168027 Department of Astronomy & Astrophysics and Center for
Gravitational Wave Physics, The Pennsylvania State University,525 Davey Lab, University Park, PA 16802
8 Department of Physics and Astronomy, College of Charleston,SC 29424
9 Instituto de Astrof́ısica, Facultad de F́ısica, Pontificia Univer-sidad Católica de Chile, Casilla 306, Santiago 22, Chile
10 Millennium Institute of Astrophysics (MAS), NuncioMonseñor Sótero Sanz 100, Providencia, Santiago, Chile
11 Space Science Institute, 4750 Walnut Street, Suite 205,Boulder, Colorado 80301
12 Department of Physics, National Institute of Technology,Nara College, Yamatokohriyama, Nara 639-1080, Japan
13 Department of Astronomy, School of Science, GraduateUniversity for Advanced Studies, Mitaka, Tokyo 181-8588, Japan
black holes, 2) they also provide energy and momentumfeedback to the interstellar medium of host galaxies andto the intergalactic medium (IGM), and inhibit star for-mation (e.g., Springel, Di Matteo, & Hernquist 2005),and 3) they may promote metal enrichment of the in-tergalactic medium (IGM) (e.g., Hamann et al. 1997b;Gabel, Arav, & Kim 2006). These outflowing gases,which are difficult to observe directly, have been detectedas absorption lines in the spectra of about 50% of allquasars (e.g., Vestergaard 2003; Wise et al. 2004; Mis-awa et al. 2007a; Nestor et al. 2008; Muzahid et al. 2013).However, a limitation of these past studies is that theyobserve the outflowing gas only along a single sightline(i.e., one dimension) toward the nucleus of each quasar,although the absorber’s physical conditions probably de-pend on the location/orientation at which we observe it(e.g., Ganguly et al. 2001; Elvis 2000). Thus, the internalstructure of outflowing winds is still largely unknown.
Multiple quasar images, produced by gravitationallensing, provide a unique way to study the outflowing gasalong more than one sightline. Lensed quasars with largeimage separation angles have a higher chance of revealingstructural differences in the outflowing winds, especiallyin the vicinity of the continuum source. In this sense,the quasar images that are lensed by a cluster of galaxies(rather than a single massive galaxy) are very promis-ing targets. Among three such lensed quasars, SDSSJ1029+2623 at zem ∼2.197 (Inada et al. 2006; Oguri etal. 2008) is the best target because i) it has the largestlensed quasar image separation (θ ∼ 22′′.5) ever observed(see Figure 1 of Inada et al. 2006), and ii) it exhibitsabsorption features in the blue wings of the C IV, N V,and Lyα emission lines with ejection velocity of vej ≤
2 Misawa et al.
1,000 km s−1, which could be the result of outflowing gasmoving toward us from the central region. We call themProximity Absorption Lines (PALs) throughout this pa-per. We define PALs as a subcategory of Narrow Ab-sorption Lines (NALs) with ejection velocity of vej ≤1,000 km s−1. We use this terminology throughout thepaper to separate PALs from NALs with larger ejectionvelocities.
Misawa et al. (2013) obtained high-resolution spectraof the brighter two of the lensed images (images A andB) with the Subaru telescope in 2010 February and foundseveral clear signs that the origin of the PALs is indeedin the outflowing gas. First, they show the signature ofpartial coverage, which means the absorbers do not coverthe background flux source completely. There also existsa clear difference in the absorption profiles between thespectra of images A and B, which can be explained by ei-ther of the following two scenarios: (a) time variability ofthe absorption features over a time scale correspondingto the time delay between the two images (time varia-tion scenario; Chartas et al. 2007)14, or (b) a difference inthe absorption between the different sightlines of the out-flowing wind (multi-sightline scenario; Chelouche 2003;Green 2006). However, with a single-epoch observationwe cannot distinguish between these scenarios. Misawaet al. (2014b) performed a second observation about fouryears (1514 days in the observed frame) after the first ob-servation (which is longer than the time delay betweenimages A and B, ∆tAB ∼ 744 days), and found that thePALs were nearly stable and that most of the differencesbetween images A and B still remained. This evidencesuggests a multi-sightline scenario where the absorber’ssize should be smaller than the physical distance betweenthe sightlines of the lensed images, thus not covering bothsightlines. A possible explanation is that there are anumber of small clumpy clouds in the outflowing stream.Indeed, some of the outflowing gas is expected to consistof small gas clouds (dcloud ≤ 10−3 pc) with very largegas densities (ne ≥ 106 cm−3; Hamann et al. 2013; Joshiet al. 2014). Furthermore, recent radiation-MHD simula-tions by Takeuchi et al. (2013) reproduce variable clumpystructures with typical sizes of 20 times the gravita-tional radius (Rg), corresponding to dcloud ∼ 5×10−4 pc,assuming a black-hole mass for SDSS J1029+2623 ofMBH ∼ 108.72 M� (Misawa et al. 2013).
Such clumpy clouds can be examined more easilythrough narrow absorption lines (NALs, hereafter) withlarge offset velocities from the quasar because the cor-responding absorbers are (i) probably smaller than thePAL absorbers and (ii) not so crowded in velocity spaceas the PAL absorbers. Indeed, there are many NALsdetected in the spectra of both images A and B ofSDSS J1029+2623. Their origin is not only the out-flowing wind (intrinsic NALs, hereafter) but also cos-mologically intervening gas such as foreground galaxiesand the IGM (intervening NALs, hereafter). Althoughit has been traditionally believed that many NALs thatfall within 5,000 km s−1 of the quasar emission redshift(termed associated absorption lines or AALs) are physi-cally associated with the quasar (e.g., Weymann et al.
14 The time delay between images A and B is ∆tAB ∼ 774 daysin the sense of A leading B, while the time delay between images Band C ∆tBC is only a few days (Fohlmeister et al. 2013).
1979), we can separate intrinsic NALs from interven-ing ones more effectively by performing partial coverageanalysis. In order to form a global picture of the outflow-ing wind, we need to understand the physical conditionsof NAL absorbers (i.e., highly accelerated gas) as well asPAL absorbers (i.e., weakly accelerated gas).
In this paper, we present the results from our new spec-troscopic observation of SDSS J1029+2623 taken withthe Very Large Telescope (VLT), which enables us forthe first time to identify intrinsic NALs in a high qualityspectrum of this object. In §2, we describe the obser-vations and data reduction. The methods used for ab-sorption line detection and covering factor analysis areoutlined in §3. The results and discussion are presentedin §4 and §5. Finally, we summarize our results in §6. Weuse a cosmology with H0=70 km s−1 Mpc−1, Ωm=0.3,and ΩΛ=0.7 throughout the paper.
2. OBSERVATIONSWe acquired high resolution spectra of the brightest
two of the three lensed images of SDSS J1029+2623, Aand B with V = 18.72 and 18.67 mags, with the VLTusing the Ultraviolet and Visual Echelle Spectrograph(UVES) in queue mode (ESO program 092.B-0512(A)).The observations were performed from 2014 January 28to February 26 (epoch E2, hereafter), which is ∼4 yearsafter the first observation on 2010 February 10 (epochE1, hereafter; Misawa et al. 2013), and ∼2 months beforethe third observation on 2014 April 4 (epoch E3, here-after; Misawa et al. 2014b) with Subaru using the HighDispersion Spectrograph (HDS). We used a slit width of1.′′2, corresponding to R ∼ 33,000, while Misawa et al.(2013, 2014b) took R ∼ 30,000 and 36,000 spectra usingSubaru/HDS. The wavelength coverage is 3300–6600 Åin the 390/564 nm setting, which covers the O VI, N V,Si IV, and C IV doublets as well as the Lyα absorptionline at zabs ∼ zem. We also adopted 2×2 pixel binningin both the spatial and dispersion directions to increasethe S/N ratio. The total integration time is 26,670s andthe final S/N ratio is about 23 pix−1 around 4700Å forboth images.
We reduced the data to extract the one-dimensionalspectra in a standard manner using the UVES CommonPipeline Library (CPL release 6.6). We could not sepa-rate the third image (image C, V = 20.63) from image Bcompletely because the typical seeing of our observation(∼ 1.′′0–1.′′8) was comparable to the separation angle be-tween images B and C (θ ∼ 1.′′85)15.
Table 1 gives a log of the current observation withVLT/UVES as well as our past observations with Sub-aru/HDS, in which we list the target name, date of obser-vation, telescope/instrument used, spectral resolution,total exposure time, and signal-to-noise ratio (S/N). TheS/N is evaluated around 4700 Å, close to the C IV mini-BAL. In Figure 1, we show normalized spectra over thefull wavelength range of our observations for images Aand B. These spectra were binned every 0.5Å for displaypurposes, and the 1σ errors are also shown.
3. DATA ANALYSIS
15 On the other hand, a flux contamination from the image Cis almost negligible in the image B spectrum because the former ismuch fainter than the latter.
Multi-Sightline Observation of NALs 3
First, using the line detection code search, writ-ten by Chris Churchill, we detect all absorption fea-tures whose confidence level is greater than 5σ in thenormalized spectrum of each lensed image. We thenidentify N V, C IV, and Si IV doublets in the regionsfrom −1,000 km s−1 to 5,000 km s−1 (N V), from−1,000 km s−1 to 70,000 km s−1 (C IV), and from−1,000 km s−1 to 40,000 km s−1 (Si IV) around the corre-sponding emission lines, with the maximum velocity setin order to avoid the Lyα forest16. We also search for theMg II doublet in the whole range of the spectra. Absorp-tion troughs that are separated by nonabsorbed regionsare considered to be separate lines. In total, 4 Mg II, 19C IV, 2 N V, and 7 Si IV doublets are identified in the im-age A spectrum, while 3 Mg II, 22 C IV, 2 N V, and 7 Si IVdoublets are identified in the image B spectrum. Theequivalent widths of both blue and red members of dou-blets are measured for each line by integrating across theabsorption profile and these are listed in Table 2. We alsosearched for 10 single metal lines (O I λ1302, Si II λ1190,Si II λ1193, Si II λ1260, Si II λ1527, Al II λ1671,C II λ1036, C II λ1335, Si III λ1207, and C III λ1548)as well as Lyα and Lyβ and detected about 200 lines atthe same redshift as the doublet lines. These are sum-marized in Table ??. Other single lines or unidentifiedlines are not shown in Figure 1 and Tables 1–?? even ifthey are detected at a confidence greater than 5σ.
3.1. dN/dz AnalysisOne of the important properties of intrinsic NALs is
a number density excess of high-ionization doublets perunit redshift (i.e., dN/dz; Hamann et al. 1997a, and ref-erences therein). In order to compare the dN/dz fromour spectra with those from our previous study based on37 quasar spectra (Misawa et al. 2007a), we construct acomplete sample including only NALs whose blue dou-blet members would be detected even in the lowest S/Nspectrum in Misawa et al. (2007a). The correspondinglower limits of rest-frame equivalent widths (EWs) areEWrestmin = 0.056 Å, 0.038 Å, and 0.054 Å for C IV, N V,and Si IV, respectively. Here, the values of EWrestmin de-pend on the S/N ratio of the observed spectrum as
EW restmin =−U2 + U
√U2 + 4(S/N)2(M2LM
−1c + ML)
2(S/N)2(1 + zabs)×∆λ(Å),
(1)where U is the confidence level of the EW defined asEW/σ(EW), and ML and MC are the numbers of pixelsover which the equivalent width and the continuum levelare determined (Young et al. 1979; Tytler et al. 1987).Using equation (1), we confirm that the S/N of our VLTspectra is always larger than the required values exceptfor the region between λobs ∼ 4500 – 4525 Å (Figure 2).After removing weak NALs with EWrest < EWrestmin, wehave 12 C IV, 2 N V, and 3 Si IV doublets in image Aspectrum and 11 C IV, 2 N V, and 3 Si IV doublets in theimage B spectrum. We will call this the “homogeneous”NAL sample, hereafter. Following Misawa et al. (2007a),we also combined multiple NALs lying within 200 km s−1
16 Here, we define the velocity offset as positive for blueshiftedNALs from the quasar emission redshift that is determined fromMg II emission line (Inada et al. 2006).
of each other into a single NAL “system” because clus-tered lines are probably not independent even if theyhave a cosmologically intervening origin (e.g., Sargent,Steidel, & Boksenberg 1988).
All identified doublets (including both the homoge-neous and inhomogeneous NAL samples) are listed inTable 2, in which multiple NALs within 200 km s−1 ofeach other are separated by horizontal lines. The tablegives the ion name (ion), flux-weighted absorption red-shift (zabs), ejection velocity (vej) supposing they orig-inate in the outflow, rest frame EWs of blue and redmembers of the doublet (EWrestb , EW
restr ), identification
number in Figure 1 (ID), reliability class of intrinsic lines(described later), ionization class (described later), andvelocity difference from the first doublet at the lowestredshift in each absorption system (∆v). Table ?? sum-marizes other information including the flux-weightedline width of each system on a velocity scale, σ(v), asdefined in Misawa et al. (2007a), and other transitionsthat are detected at the same redshift, as well as the col-umn density (log N), Doppler parameter, b, and coveringfactor, Cf , for each absorption component in the system.
3.2. Partial Coverage AnalysisAmong several criteria, i) time variability, ii) par-
tial coverage, and iii) line locking are the most reliableproperties to distinguish intrinsic NALs from interveningNALs (Barlow & Sargent 1997; Hamann et al. 1997a, andreferences therein). When compared with broad intrin-sic absorption lines, intrinsic NALs are less likely to vary(Misawa et al. 2014a; Chen et al. 2015) and when theydo vary, their variation amplitude is small (Wise et al.2004; Misawa et al. 2014a). Therefore, the variabilitycriterion does not offer an efficient way of identifying in-trinsic NALs.
Partial coverage analysis is quite useful for our spectrabecause the resolving power is high enough to deblendNALs into multiple components. Using the Voigt pro-file fitting code minfit (Churchill 1997; Churchill et al.2003), we deblended NALs into 86 and 91 components inimages A and B, respectively. We do not include the Si IVNAL at zabs = 1.8909 because the blue and red membersof the doublet are both blended with other lines. Withminfit, we fit each NAL profile using the redshift (z),column density (log N in cm−2), Doppler parameter (bin km s−1), and covering factor (Cf) as free parameters.The covering factor (Cf) is the fraction of photons fromthe background source that pass through the absorber. Ifthe background source is uniformly bright, then Cf alsorepresents the fraction of the background source (i.e.,the continuum source and/or broad emission line regions,BELRs) that is occulted by foreground absorbers alongour sightline. If Cf is less than unity, it is likely thatthe absorbers are part of a quasar outflow because cos-mologically intervening absorbers like substructures inforeground galaxies and the IGM are less likely to haveinternal structures as small as a size of the backgroundflux sources (e.g., Wampler et al. 1995; Barlow & Sargent1997). The covering factor is evaluated in an unbiasedmanner as
Cf =(Rr − 1)2
1 + Rb − 2Rr, (2)
where Rb and Rr are the residual (i.e., unabsorbed) fluxes
4 Misawa et al.
of the blue and red members of a doublet in the nor-malized spectrum (c.f., Hamann et al. 1997b; Barlow &Sargent 1997; Crenshaw et al. 1999). If minfit givesunphysical covering factors for some components, e.g.,negative or greater than 1, we rerun the code assumingCf = 1 only for those components because the Cf valuesare very sensitive to continuum level errors, especiallyfor full coverage doublets (Misawa et al. 2005). In addi-tion to the fitting method above, we evaluate Cf valuesfor each pixel as Ganguly et al. (1999) did (pixel-by-pixelmethod). The fitting results by both methods are shownin Figure 3 and the fit parameters by the fitting methodare summarized in Table ??. We have confirmed thatthe Cf values provided by the two methods are in goodagreement with each other.
4. RESULTS4.1. Narrow Absorption Lines (NALs)
Using our NAL sample toward the lensed images ofSDSS J1029+2623, we perform several statistical anal-yses. In these analyses, in order to avoid any possiblebiases we do not include the two C IV NALs at zabs ∼1.9322 and 1.9788 that are covered in the Subaru spec-trum (Misawa et al. 2013) but not covered by our VLTdata.
4.1.1. dN/dz analysisIn Table 4, we summarize the number density of homo-
geneous NAL systems per unit redshift (dN/dz) or perunit velocity offset from the quasar (dN/dβ) for C IV,N IV, and Si IV, along with the Poisson noise in thesequantities (Gehrels 1986). All systems are also classifiedinto one of two categories according to the offset veloc-ity from the quasar; associated absorption lines (AALs)with vej ≤ 5,000 km s−1, and non-AALs with vej >5,000 km s−1, following Misawa et al. (2007a). We foundthat the dN/dz values for C IV, N V, and Si IV toward thisone quasar, SDSS J1029+2623, are larger than the aver-age values in the larger sample of Misawa et al. (2007a)by factors of ∼3, ∼6, and ∼2, respectively, although thisenhancement is not statistically significant because of thesmall number of NALs in our spectra. Because Misawa etal. (2007a) discovered that at least ∼20% of C IV NALsoriginate from winds based on partial coverage analysis,statistically we expect to detect two or more intrinsicC IV NALs among ∼10 homogeneous C IV NALs in thespectra of images A and B.
4.1.2. Intrinsic or Intervening NALsHigh-velocity NALs blueshifted with vej > 1000 km s−1
are expected to be outside of the range of velocities whereBELs are found, and thus, they absorb mostly continuumlight. The existence of partial coverage in high-velocityNALs suggests that the size of absorbers is comparableto or smaller than the continuum source (i.e., dcloud ≤Rcont). Following Misawa et al. (2007a), we separateall NALs (including those in the inhomogeneous sample)into three classes (classes-A, B, and C) based on partialcoverage analysis, where class-A includes NALs most re-liably classified as intrinsic while class-C includes NALsthat are consistent with full coverage or that cannot beclassified. Class-B contains NALs that show line-locking,which is a signature of a radiatively driven outflowing
wind and is only detectable if our sightline is approxi-mately parallel to the gas motion, as often seen in NALs(e.g., Benn et al. 2005; Bowler et al. 2014). Class-Balso contains systems that have tentative evidence forpartial coverage. As a result, 4 C IV NALs (includingPALs) are classified as intrinsic (two class-A and twoclass-B) among the 12 C IV NALs in the homogeneoussample from the spectrum of image A, while 3 C IV NALsare classified as intrinsic (two class-A and one class-B)among 11 NALs in the spectrum of image B. The frac-tion of intrinsic NALs (27 – 33%) is somewhat largerthan the average value of ∼20% (Misawa et al. 2007a),although our sample size is small. If we include the in-homogeneous sample, 5 C IV NALs are classified as 3class-A and 2 class-B among 19 NALs toward image A,while 9 out of 22 C IV NALs are classified into 4 class-Aand 5 class-B NALs toward image B. In addition to in-trinsic C IV NALs, we detected two class-B Si IV NALsonly toward image A in homogeneous sample, and threeclass-B Si IV NALs in each of the image A and B spectraafter including systems from the inhomogeneous sample.It is also noteworthy that we detect a large number ofline-locked NALs: 2 C IV and 3 Si IV NALs in image Aand 5 C IV and 3 Si IV NALs in image B, while only fivesystems are line-locked among 138 homogeneous NALstoward 37 quasars (Misawa et al. 2007a). This resultstrongly suggests that our sightline toward the centralsource is almost parallel to the outflowing streamline.
4.1.3. Ionization Conditions
The outflowing winds in the vicinity of the flux sourceare probably more highly ionized than most interveningabsorbers due to strong UV radiation from the contin-uum source, although it depends on the gas density ofthe absorbers. Indeed, a high ionization state has beenused as one indicator of the intrinsic properties of ab-sorbers (Hamann et al. 1997a, and references therein).Broad absorption lines (BALs) are often classified intothree categories according to their ionization level: high-ionization BALs (HiBALs), low-ionization BALs (LoB-ALs), and extremely low-ionization BALs showing Fe IIlines (FeLoBALs) (Weymann et al. 1991). A similar clas-sification has also been performed for NALs (Bergeron etal. 1994; Misawa et al. 2007a). Motivated by the liter-ature, we classify our NALs into three categories, basedon the detection of absorption lines in low (ionization po-tential; IP < 25 eV), intermediate (IP = 35 – 50 eV), andhigh (IP > 60 eV) ionization levels17. Interestingly, someclass-A NAL systems include low ionization lines (see Ta-ble 2), which suggests that intrinsic NAL absorbers havemultiple phases with different ionization states, as notedin Misawa et al. (2007a).
4.1.4. Similarities in NALs between Sightlines
Here, we present a new method of identifying intrin-sic NALs by exploiting our multi-sightline observation.If NALs with similar line profiles are detected at thesame redshift toward two sightlines, the corresponding
17 An important caveat here is that we do not necessarily de-tect all absorption lines because of the detection limits due to linestrength, observed wavelength coverage, and line blending (e.g., inLyα forest).
Multi-Sightline Observation of NALs 5
absorber must have a size larger than the physical dis-tance between the two sightlines. The absorber also can-not have any internal structures on the scale of the sight-line separation. Although foreground galaxies and IGMstructures also can cover both sight lines (whose physi-cal separation is ∼kpc or ∼Mpc scale), they usually havesignificant internal velocity structures on those scales, asoften seen in the spectra of lensed quasars (e.g., Ellisonet al. 2004). Only intrinsic absorbers can satisfy the re-quirement of having very similar profiles because theirsizes can be larger than the sightline separation (e.g.,sub-parsec scale) if they are at a small distance from theflux source (e.g., r < 1 kpc). Based on the ejection ve-locity distribution of class-A, B, and C NALs (Figure 4),in Figure 5 we summarize the distribution of velocity dif-ferences between NALs and PALs in the two sightlines(∆v) for systems within ∆v ≤ 200 km s−1 between thetwo sightlines. The distribution is almost uniform up to∆v ∼ 200 km s−1 with a clear peak near ∆v ∼ 0 km s−1.Among eight NAL pairs with ∆v ≤ 10 km s−1, four areC IV and N V PALs at zabs ∼ zem, which we will discusslater. The other four NAL pairs are C IV NALs at zabs∼ 1.8909, 2.1349, and 2.1819, and a Si IV pair at zabs∼ 1.8909. Although the velocity shift is very small forthese NAL pairs, their line profiles are clearly different ascompared in Figure 6. This means our two sightlines gothrough different absorbers or different regions of a sin-gle absorber. In either event, we cannot conclude thatthese are intrinsic NALs based only on this analysis. Onthe other hand, it is intriguing that no NAL pairs thatare classified into class-A/B have a common ejection ve-locity or line profile. For example, the C IV NALs atzabs = 1.7652 toward image A and at zabs = 1.7650 to-ward image B are both classified as class-A NALs. Al-though their ejection velocities are very close each other,their line centers and profiles are obviously different, asshown in Figure 7. We also note that the difference is re-markable in all three epochs (see Figure 8). This meansthe multi-sightline scenario (i.e., that two sightlines passthrough different regions of the outflow) is also applica-ble for intrinsic NALs with large ejection velocity as wellas for PALs as already confirmed in Misawa et al. (2013,2014b).
4.1.5. Time Variability of NALs
Because of the lower data quality (S/N ∼ 10 pixel−1)and narrower effective wavelength coverage of the Sub-aru/HDS spectra taken in epochs E1 and E3, we cannotmonitor NALs for time variability analysis with only afew exceptions. As an example, we compare spectra ob-tained at three epochs around the strong C IV NALs atzabs = 1.8909–1.9138 (ID = 35–44) in image A and C IVNALs at zabs = 1.8909–1.9119 (ID = 41–48) in image Bas shown in Figure 9. These NALs are obviously not vari-able, which is consistent with the past result that NALswith large ejection velocities are rarely variable (Chen etal. 2015).
4.2. Proximity Absorption Lines (PALs)The absorption line group at zabs ∼ zem with an ejec-
tion velocity of vej < 1000 km s−1 has already been ob-served twice in 2010 February (epoch E1) and 2014 April(epoch E3) with Subaru/HDS. Its origin is probably in
the outflowing gas because: i) there is evidence for par-tial coverage (e.g., there exists a clear residual flux at thebottom of the Lyα and N V absorption lines even thoughthey appear to be saturated.), ii) the profiles are vari-able, and iii) the profiles show signatures of line-locking(Misawa et al. 2013, 2014b). The most important resultfrom these past observations is that the absorption pro-files of the Lyα, N V, and C IV PALs in the spectra ofimages A and B are clearly different, especially for linesat vej < 0 km s−1 (see Figure 10). There are at least threepossible origins for the difference: a) a micro-lensing ef-fect, b) time delay between the images, and c) differentabsorber structure along the different sightlines. Amongthese, the first idea is immediately rejected because thelensed images show a common ratios between the radio,optical, and X-ray fluxes (Ota et al. 2012; Oguri et al.2012), which is not expected for micro-lensing. We canalso reject the time delay effect because the variability isalmost negligible between epochs E1 and E3 (Misawa etal. 2014b). A difference in column density between thetwo sightlines is the only acceptable explanation. To ourknowledge, this is the first time that an outflowing windhas been observed along multiple sightlines. Hereafter,we call the PALs at vej < 0 km s−1 (showing sightlinedifference) narrow PALs and those at vej > 0 km s−1(showing similar line profiles between sightlines) broadPALs (see Figure 10).
Our observation with VLT/UVES not only gives anadditional epoch for monitoring the PALs but enables usto study the detailed velocity structure of PALs usinghigher quality spectra with a S/N ratio double that ofthe past observations with Subaru. We first confirm theline-locking pattern in velocity plots of the C IV PAL asshown in Figure 11, which was already noted in Misawaet al. (2013). Like the other NAL absorbers, the PALabsorbers also appear to be outflowing almost parallelto our sightline. We also reconfirm that the C IV PALsbecame shallower (i.e., decreasing in equivalent width)over a large velocity range of the profile between epochsE1 and E2/E3 (see Figure 11) at ∆trest ∼1.3 years inthe quasar rest-frame. However, these lines are almoststable on the shorter time scales of ∆trest ∼0.05 yearsbetween epochs E2 and E3. The broad spectral coverageof the VLT/UVES spectra allows us to detect for thefirst time the O VI doublet corresponding to the PALabsorber (see Figure 10). There is also a hint of the Si IVdoublet detected, but it appears blended with other linesat lower redshift.
4.2.1. Comparison of Covering Factors
In addition to line profiles and strengths, we also com-pare covering factors for the clean part of the C IV andN V PALs in the three epochs. The fitting parameters tothe PALs in epoch E2 with minfit are summarized in Ta-ble ??. The total column densities of C IV and N V PALsafter summing all Voigt components are log(NNV/cm−2)= 15.62 and log(NCIV/cm−2) = 15.90 in image A and16.04 and 15.89 in image B spectrum. These values areall consistent with the corresponding values that we mea-sured in epoch E1 (Misawa et al. 2013) with differencesof a factor of ≤ 2. Because all PALs have small offsetvelocities and are located on the BELs in the spectra,we should consider the BELRs as well as the contin-
6 Misawa et al.
uum source as the background flux source. Because theC IV PAL is partially self-blended (i.e., blending of theblue members of one doublet with the red member ofanother doublet), we can compare covering factors effec-tively only for the narrow PALs at vej ∼ −100–0 km s−1(corresponding to ∆v ∼ 400–500 km s−1 in Figure 12),for which self-blending is negligible18.
We show the fitting results for the PALs in epoch E2in Figure 12 and Table ??. The average covering fac-tors of C IV and N V at vej ∼ −100–0 km s−1 (i.e., ∆v∼ 400–500 km s−1 in Figure 12) are Cf = 0.47±0.03and 0.58±0.05 toward image A, and Cf = 0.23±0.02 and0.39±0.08 toward image B. These values are all consis-tent with the corresponding values in epoch E1 towardimage A (Cf = 0.47±0.05 and 0.61±0.07) and image B(Cf ∼ 0.2 and 0.35±0.05)19 and in epoch E3 toward im-age A (Cf = 0.45±0.09 and 0.54±0.09) and image B (Cf= 0.20±0.05 and 0.34±0.19). Thus, covering factors arenot variable at least on a timescale of ∆trest ∼ 1.3 years.
The N V PALs all have larger Cf values than that forC IV, which is consistent with past results that higherionization transitions tend to have larger coverage frac-tions (e.g., Petitjean & Srianand 1999; Srianand & Pe-titjean 2000; Misawa et al. 2007a; Muzahid et al. 2015).This result suggests that i) the size (i.e., distance fromthe central black hole) of the N V BELR is smaller thanthat of the C IV BELR, and/or ii) the size of the N Vabsorbers is larger than that of the C IV absorbers. It isalso interesting that the PALs in the image A spectrumalways have larger Cf values than those in the image Bspectrum, which is additional evidence for variations inthe structure along multiple sightlines.
5. DISCUSSION5.1. Velocity anisotropies in NAL absorbers
Line-locking is seen in both NALs and PALs, thus weare likely to be observing the quasar almost along thedirection of the outflow. Nonetheless, we discovered avelocity difference between the two sightlines (see Ta-ble 2). Given the redshifts of the lens (zl = 0.58; Oguriet al. 2008) and the source (zs = 2.197) the separationangle of the light rays that form images A and B, as seenfrom the source20, is θ′ ∼14.′′6. This velocity gradientsuggests that the outflowing wind has internal velocityanisotropies on a scale of ∼1 km s−1 arcsec−1 on aver-age. Indeed, the hydrodynamic simulations of Proga &Kallman (2004) show this type of internal velocity vari-ations. A recent radiation-MHD simulation by Takeuchiet al. (2013) also reproduced such velocity variations over
18 Negative ejection velocity for these components could be dueto our underestimation of these values because the emission redshiftis determined from broad UV emission lines, as done for this quasarby Inada et al. (2006), which are systematically blueshifted fromthe systemic redshift that is measured by narrow, forbidden lines(see, e.g., Corbin 1990; Tytler & Fan 1992; Brotherton et al. 1994;Marziani et al. 1996) by about 260 km s−1.
19 Because no absorption component was used for C IV PAL atvej ≤ 0 km s−1 in the epoch E1 spectrum (Misawa et al. 2013), weadopt an average line depth for this region as a covering factor.
20 The separation angle as seen by the source is given by θ′
= (Dol/Dsl) × θ, where θ is the observed separation angle of theimages (22.′′5) and Dol and Dsl = ((1 + zs)/(1 + zl)) × Dls areangular diameter distances from the observer to the lens and fromthe source to the lens, respectively.
a typical spatial scale of ∼ 5×10−4 pc. This is consistentwith the size of NAL absorbers, which is also compara-ble to the size of the continuum source (∼ 2.5×10−4 pc;Misawa et al. 2013). However, we should note that thevelocity variations in the simulations are found in theinner part of the wind at distances of ∼50Rg from thecenter.
The velocity distribution of intrinsic NALs that areclassified into Class-A or B appears to cluster aroundvalues of vej ∼ 59,000, 43,000, and 29,000 km s−1, exceptfor two intrinsic NALs at vej ∼ 49,500 km s−1 (class-A)and ∼ 8,500 km s−1 (class-B) in the image B spectrum(Figure 4). These clustering patterns are reminiscent ofthe filamentary structures obtained by numerical simu-lations (e.g., Proga, Stone, & Kallman 2000). If thesepatterns are indeed due to filamentary structures, thereshould exist some velocity anisotropies within them. Ve-locity dispersions in the three intrinsic NAL clusters areδv ∼ 900, 260, and 1200 km s−1 respectively, which cor-respond to about 1.6%, 0.6%, and 4.0% of their averageejection velocity.
5.2. Ionization condition in PAL absorbersThe Lyα, C IV, and N V PALs have been monitored
at three epochs (E1, E2, and E3) between 2010 Febru-ary and 2014 April. Between epochs E1 and E2/E3,C IV PALs show a clear variation in their strength (i.e.,depth). There are several possible reasons for this timevariability: (a) gas motion across our line of sight (e.g.,Hamann et al. 2008; Gibson et al. 2008; Muzahid et al.2015), (b) changes in the ionization state of the absorber(e.g., Hamann et al. 2011; Misawa et al. 2007b), and (c)redirection of photons around the absorber by scatter-ing material (e.g., Lamy & Hutsemékers 2004; Misawaet al. 2010). Among these, the first scenario can be re-jected because all absorption components in the C IVPAL vary in concert, which requires the implausible sit-uation in which all clouds cross our sightline simulta-neously (c.f. Misawa et al. 2007b). The third scenariois also less likely because it requires a variation in thecovering factor while the Cf values remain almost sta-ble both in C IV and N V PALs between epochs E1 andE2/E3. Thus, only the scenario involving a change inionization state deserves further investigation. This sce-nario is further separated into two variants: i.e., C3+ions are ionized to C4+ or they recombine to C2+. Bothvariants of this scenario can explain the decreasing EWof the C IV PALs. Without knowing an absorber’s ion-ization parameter21, we cannot tell which one is morelikely. If the latter variant applies, we can place con-straints on the electron density and the distance fromthe ionizing photon source by the same prescription asused in Narayanan et al. (2004), taking the variabilitytime scale as an upper limit to the recombination time.Based on the observation that the C IV PALs vary be-tween epochs E1 and E3 over ∆tobs = 1514 days (i.e.,∆trest = 474 days)22 we can place a lower limit on the
21 The ionization parameter U is defined as the ratio of hydrogenionizing photon density (nγ) to the electron density (ne).
22 We compare spectra in epochs E1 and E3 instead of epochsE1 and E2 because the E2 observation spans the time range 2014January 28 to February 26, which gives an additional uncertaintyfor measuring the variation time scale.
Multi-Sightline Observation of NALs 7
electron density of the absorber as ne > 8.7× 103 cm−3,and an upper limit on the distance from the flux sourceas r < 620 pc, assuming U ∼ 0.02, the value at whichthe C IV and N V ions are close to the optimal ionizationstates for those elements (e.g., Hamann et al. 1995).
5.3. Global Picture of the Outflow fromSDSS J1029+2623
In Table 5, we summarize the physical properties ofbroad PALs, narrow PALs, and intrinsic NALs. We alsopresent a possible geometry of the outflow along our twosightlines in Figure 13 based on our previous constraints.
First, we see almost the same absorption profiles ofLyα, N V, and C IV PALs in the two lensed images ex-cept for a clear difference in the narrow PALs at vej ∼−100–0 km s−1. We also confirm that none of the in-trinsic NALs have common absorption profiles betweenthe images. These results suggest that the size of thebroad PAL absorbers are larger than the projected sepa-ration between sightlines at the distance of the absorbers,rθ, while the narrow PAL absorbers and NAL absorbershave sizes smaller than rθ. Such common absorption pro-files are, however, observable regardless of the absorber’ssize, if their distance from the flux source is smaller thanthe boundary radius rb at which the two sightlines oflensed images become fully separated with no overlap(Misawa et al. 2013). The boundary distance is ∼3.5 pcfor SDSS J1029+2623 if only the continuum source iscounted. If we also consider the BELR (whose size isestimated to be ∼0.09 pc)23 as the background source,rb would be ∼1200 pc (see Figure 13).
We can also place constraints on the absorber sizebased on partial covering analysis. Intrinsic NALs withlarge ejection velocities have partial coverage, althoughthey absorb only the continuum photons. This meanstheir physical scale is comparable to or smaller than thesize of the continuum source, dcloud ≤ 2.5×10−4 pc. Onthe other hand, broad PAL absorbers cover almost en-tirely both the BELR and the continuum source, whichmeans the size of the absorbers as a whole is compara-ble to or larger than the BELR size, ≥ 0.09 pc. NarrowPAL absorbers may consist of a number of small clumpyclouds because they show partial coverage.
In our VLT/UVES spectra, we detected high-ionization transitions like O VI and N V in the PALsystems, while the intrinsic NAL systems are in variousionization states, with or without high-ionization tran-sitions, as already noted in the literature (e.g., Misawaet al. 2007a; Ganguly et al. 2013). Some C IV NAL ab-sorbers also show N V transitions, while others do not.Because Lyα and N V in the PAL system are less vari-able than C IV and because N V has larger covering factorthan C IV, the cross-section of Lyα and N V should belarger than that of C IV. PAL absorbers with strong O VIlines are probably located much closer to the ionizing fluxsource than NAL absorbers, although this conclusion de-pends on the density of the absorber.
It is well known that both broad and narrow absorptionlines at zabs ∼ zem tend to vary (Wise et al. 2004; Misawaet al. 2014a), while NALs with large ejection velocitiesare rarely variable (e.g., Chen et al. 2015). Indeed, the
23 This is calculated by Misawa et al. (2013) based on the em-pirical equation in McLure & Dunlop (2004).
PALs in our spectra are variable, while most of the C IVNALs are probably stable between the three epochs, aswe observed for a few strong C IV NALs. Misawa etal. (2014a) suggest that broader absorption lines like thebroad PALs can vary mainly due to a change in theirionization state while narrow absorption lines like narrowPALs and NALs vary primarily due to the gas motiontransverse to our sightlines. The gas motion scenariocould explain why narrow PALs are variable but high-velocity NALs are not. Based on the dynamical model ofMurray et al. (1995) and more recent investigations (e.g.,Misawa et al. 2005; Hall et al. 2011), the absorbers atlarger distance from the center have small transverse (i.e.,orbital) velocities compared to their radial velocities. Ifintrinsic NALs lie at larger distances than narrow PALs,their small transverse velocities would rarely lead to timevariability, while the large transverse velocities of narrowPALs can lead to time variability more frequently.
6. SUMMARYIn this study, we performed a spectroscopic observa-
tion for images A and B of the gravitationally lensedquasar SDSS J1029+2623, and monitored the absorp-tion profiles in these spectra as well as in the previ-ous two observations. Using high quality spectra takenwith VLT/UVES, we detected intrinsic narrow absorp-tion lines (NALs) as well as broader, proximity absorp-tion lines (PALs), and fit models to the line profiles.Based on the results of our multi-sightline spectroscopy,we discuss a possible geometry and internal structure ofthe outflowing wind along our sightlines. Our main re-sults are as follows.
We detected 66 NALs, of which 24 are classifiedas intrinsic NALs (physically associated with thequasar) based on partial coverage analysis.
Class-A and B NALs cluster at vej ∼ 59,000,43,000, and 29,000 km s−1, which is reminiscent ofthe filamentary structures that are often obtainedin numerical simulations.
Our multiple sightline observation suggests thatthe size of the broad PAL absorbers are larger thanthe projected distance between sightlines (rθ) whilethe narrow PAL absorbers and intrinsic NAL ab-sorbers have sizes smaller than rθ if their radialdistances are greater than the boundary distance.
While PAL systems show only high ionization tran-sitions, including O VI, intrinsic NAL systems showa wide range of ionization conditions with andwithout low ionization transitions like O I, Al II,and Si II, as noted in the literature.
No class-A/B NALs (i.e., candidates for intrinsicNALs) have common absorption profiles in the twolensed images, which means that the outflow hasan internal velocity structure whose typical spatialscale is smaller than the physical distance betweenthe sightlines (i.e., ≤ rθ).
Short-time variation in the PALs is probably dueto a change in the ionization state of the gas. If thisis the case, we can place a lower limit on the gas
8 Misawa et al.
density as ne ≥ 8.7× 103 cm−3 and an upper limiton the absorber’s distance from the flux source asr ≤ 620 pc.
Based on our best knowledge, we present a possiblegeometry of the outflow along our two sightlines,in which we identify different structures in the out-flowing wind that can produce, respectively, broadPALs, narrow PALs, and NALs with large ejectionvelocities.
For further investigations of the outflow’s internalstructure, especially in the transverse direction, weshould perform the same observations for image C ofSDSS J1029+2623. We also aim to observe several lensedquasars with smaller separation angles (θ ∼ 2′′) by a sin-gle massive galaxy to examine ∼10 times finer internalstructure in an outflow, as already mentioned in Misawaet al. (2014b).
We thank the anonymous referee for comments thathelped us improve the paper. We would like to thank
Masamune Oguri, Poshak Gandhi, and Chris Cullitonfor their valuable comments. We also would like tothank Christopher Churchill for providing us with theminfit and search software packages. The researchwas supported by the Japan Society for the Promotionof Science through Grant-in-Aid for Scientific Research15K05020, JGC-S Scholarship Foundation, and partiallysupported by MEXT Grant-in-Aid for Scientific Researchon Innovative Areas (No. 15H05894). CS acknowledgessupport from CONICYT-Chile through Becas Chile74140006. FEB acknowledges support from CONICYT-Chile (Basal-CATA PFB-06/2007, FONDECYT Regular1141218, ”EMBIGGEN” Anillo ACT1101) and the Min-istry of Economy, Development, and Tourism’s Millen-nium Science Initiative through grant IC120009, awardedto The Millennium Institute of Astrophysics, MAS. JCCand ME acknowledge support from the National ScienceFoundation through award AST-1312686.
REFERENCES
Arav, N., Borguet, B., Chamberlain, C., Edmonds, D., &Danforth, C. 2013, MNRAS, 436, 3286
Benn, C. R., Carballo, R., Holt, J., et al. 2005, MNRAS, 360, 1455Barlow, T. A., & Sargent, W. L. W. 1997, AJ, 113, 136Bergeron, J., et al. 1994, ApJ, 436, 33Blandford, R.D. & Parne, D.G., 1982, MNRAS, 199, 883Bowler, R. A. A., Hewett, P. C., Allen, J. T., & Ferland, G. J.
2014, MNRAS, 445, 359Brotherton, M. S., Wills, B. J., Steidel, C. C., & Sargent,
W. L. W. 1994, ApJ, 423, 131Chartas, G., Eracleous, M., Dai, X., Agol, E., & Gallagher, S.
2007, ApJ, 661, 678Chen, Z.-F., Gu, Q.-S., Chen, Y.-M., & Cao, Y. 2015, MNRAS,
450, 3904Chelouche, D. 2003, ApJ, 596, L43Churchill, C. W., Vogt, S. S., & Charlton, J. C. 2003, AJ, 125, 98Churchill, C. W. 1997, Ph.D. Thesis, Univ. California, Santa CruzCorbin, M. R. 1990, ApJ, 357, 346Crenshaw, D. M., Kraemer, S. B., Boggess, A., Maran, S. P.,
Mushotzky, R. F., & Wu, C.-C. 1999, ApJ, 516, 750Gehrels, N. 1986, ApJ, 303, 336Dorodnitsyn, A. V. 2009, MNRAS, 393, 1433Dunn, J. P., Bautista, M., Arav, N., et al. 2010, ApJ, 709, 611Ellison, S. L., Ibata, R., Pettini, M., et al. 2004, A&A, 414, 79Elvis, M. 2000, ApJ, 545, 63Emmering, R.T., Bladford, R.D., & Shlosman, I., 1992, ApJ, 385,
460Everett, J. E., 2005, ApJ, 631, 689Fohlmeister, J., Kochanek, C. S., Falco, E. E., et al. 2013, ApJ,
764, 186Foltz, C., Wilkes, B., Weymann, R., & Turnshek, D. 1983, PASP,
95, 341Gabel, J.R., Arav, N., & Kim, T.-S. 2006, ApJ, 646, 742Ganguly, R., Lynch, R. S., Charlton, J. C., et al. 2013, MNRAS,
435, 1233Ganguly, R., Bond, N. A., Charlton, J. C., et al. 2001, ApJ, 549,
133Ganguly, R., Eracleous, M., Charlton, J. C., & Churchill, C. W.
1999, AJ, 117, 2594Gibson, R. R., Brandt, W. N., Schneider, D. P., & Gallagher,
S. C. 2008, ApJ, 675, 985Green, P. J. 2006, ApJ, 644, 733Hall, P. B., Brandt, W. N., Petitjean, P., et al. 2013, MNRAS,
434, 222Hall, P. B., Anosov, K., White, R. L., et al. 2011, MNRAS, 411,
2653Hamann, F., Chartas, G., McGraw, S., et al. 2013, MNRAS, 435,
133Hamann, F., Kanekar, N., Prochaska, J. X., et al. 2011, MNRAS,
410, 1957Hamann, F., Kaplan, K. F., Rodŕıguez Hidalgo, P., Prochaska,
J. X., & Herbert-Fort, S. 2008, MNRAS, 391, L39Hamann, F., & Sabra, B. 2004, AGN Physics with the Sloan
Digital Sky Survey, 311, 203
Hamann, F., Barlow, T. A., Junkkarinen, V., & Burbidge, E. M.1997a, ApJ, 478, 80
Hamann, F., Barlow, T. A., & Junkkarinen, V. 1997b, ApJ, 478,87
Hamann, F., Barlow, T. A., Beaver, E. A., et al. 1995, ApJ, 443,606
Inada, N., Oguri, M., Morokuma, T., et al. 2006, ApJ, 653, L97Jannuzi, B. T., Hartig, G. F., Kirhakos, S., et al. 1996, ApJ, 470,
L11Joshi, R., Chand, H., Srianand, R., & Majumdar, J. 2014,
MNRAS, 442, 862Konigl, A., & Kartje, J. F. 1994, ApJ, 434, 446Kurosawa, R. & Proga, D. 2009, ApJ, 693, 1929Lamy, H., & Hutsemékers, D. 2004, A&A, 427, 107Marziani, P., Sulentic, J. W., Dultzin-Hacyan, D., Calvani, M., &
Moles, M. 1996, ApJS, 104, 37McLure, R. J., & Dunlop, J. S. 2004, MNRAS, 352, 1390Misawa, T., Charlton, J. C., & Eracleous, M. 2014a, ApJ, 792, 77Misawa, T., Inada, N., Oguri, M., et al. 2014b, ApJ, 794, L20Misawa, T., Inada, N., Ohsuga, K., et al. 2013, AJ, 145, 48Misawa, T., Kawabata, K. S., Eracleous, M., Charlton, J. C., &
Kashikawa, N. 2010, ApJ, 719, 1890Misawa, T., Charlton, J. C., Eracleous, M., Ganguly, R., Tytler,
D., Kirkman, D., Suzuki, N., & Lubin, D. 2007a, ApJS, 171, 1Misawa, T., Eracleous, M., Charlton, J. C., & Kashikawa, N.
2007b, ApJ, 660, 152Misawa, T., Eracleous, M., Charlton, J.C., & Tajitsu, A., 2005,
ApJ, 629, 115Murray, N., Chiang, J., Grossman, S. A., & Voit, G. M., 1995,
ApJ, 451, 498Muzahid, S., Srianand, R., Charlton, J., & Eracleous, M. 2015,
arXiv:1509.07850Muzahid, S., Srianand, R., Arav, N., Savage, B. D., & Narayanan,
A. 2013, MNRAS, 431, 2885Narayanan, D., Hamann, F., Barlow, T., Burbidge, E.M., Cohen,
R.D., Junkkaribeb, V., & Lyons, R., 2004, ApJ, 601, 715Nestor, D., Hamann, F., & Rodriguez Hidalgo, P. 2008, MNRAS,
386, 2055Nomura, M., Ohsuga, K., Wada, K., Susa, H., & Misawa, T.
2013, PASJ, 65,Oguri, M., Schrabback, T., Jullo, E., et al. 2012, arXiv:1209.0458Oguri, M., Ofek, E. O., Inada, N., et al. 2008, ApJ, 676, L1Ota, N., Oguri, M., Dai, X., et al. 2012, arXiv:1202.1645Petitjean, P. & Srianand, R., 1999, A&A, 345, 73Proga, D., & Kallman, T. R. 2004, ApJ, 616, 688Proga, D., Stone, J. M., & Kallman, T. R., 2000, ApJ, 543, 686Sargent, W.L.W., Boksenberg, A., & Steidel, C.C., 1988, ApJS,
68, 539Springel, V., Di Matteo, T., & Hernquist, L. 2005, ApJ, 620, L79Srianand, R. & Petitjean, P., 2000, A&A, 357, 414Takeuchi, S., Ohsuga, K., & Mineshige, S. 2013, PASJ, 65, 88Tytler, D., & Fan, X.-M. 1992, ApJS, 79, 1Tytler, D., Boksenberg, A., Sargent, W. L. W., Young, P., &
Kunth, D., 1987, ApJS, 64, 667
Multi-Sightline Observation of NALs 9
Vestergaard, M., 2003, ApJ, 599, 116Wampler, E. J., Chugai, N. N., & Petitjean, P. 1995, ApJ, 443,
586Weymann, R. J., Morris, S. L., Foltz, C. B., & Hewett, P. C.
1991, ApJ, 373, 23Weymann, R. J., Williams, R. E., Peterson, B. M., & Turnshek,
D. A. 1979, ApJ, 234, 33
Wise, J. H., Eracleous, M., Charlton, J. C., & Ganguly, R. 2004,ApJ, 613, 129
Young, P. J., Sargent, W. L. W., Boksenberg, A., Carswell, R. F.,& Whelan, J. A. J., 1979, ApJ, 229, 891
10 Misawa et al.
TABLE 1Log of Observations
Target Obs Date Instrument R Texp S/Na Referenceb
(sec) (pix−1)
SDSS J1029+2623 A 2010 Feb 10 Subaru/HDS 30000 14400 13 12014 Jan 28 – Feb 3 VLT/UVES 33000 26670 23 2
2014 Apr 4 Subaru/HDS 36000 11400 14 3SDSS J1029+2623 B 2010 Feb 10 Subaru/HDS 30000 14200 13 1
2014 Feb 4 – 26 VLT/UVES 33000 26670 23 22014 Apr 4 Subaru/HDS 36000 11400 14 3
a Signal to noise ratio at λobs ∼ 4700Å.b References. (1) Misawa et al. 2013, (2) This paper, (3) Misawa et al. 2014b.
Multi-Sightline Observation of NALs 11TA
BLE
2A
bso
rptio
nSyst
ems
wit
hD
oublet
Lin
es
Image
AIm
age
BIo
nz a
bs
vej
EW
rest
ba
EW
rest
rb
IDC
lass
-1c
Cla
ss-2
dIo
nz a
bs
vej
EW
rest
ba
EW
rest
rb
IDC
lass
-1c
Cla
ss-2
d∆
ve
(km
s−1)
(Å)
(Å)
(km
s−1)
(Å)
(Å)
(km
s−1)
Mg
II0.5
111
190431
0.6
04±
0.0
08
0.4
95±
0.0
08
27,2
9C
1L
Mg
II0.5
124
190276
0.0
95±
0.0
04
0.0
52±
0.0
04
31,3
2C
3L
0.0
Mg
II0.5
125
190265
0.2
21±
0.0
05
0.1
45±
0.0
04
28,3
0C
1L
+19.8
Mg
II0.6
731
171003
1.6
89±
0.0
08
1.4
44±
0.0
08
49,5
0C
1L
Mg
II0.9
176
141245
0.1
93±
0.0
02
0.1
20±
0.0
02
61,6
3C
3L
0.0
Mg
II0.9
184
141157
0.1
86±
0.0
05
0.0
92±
0.0
05
67,6
8C
1L
+125.1
Mg
II0.9
187
141116
1.4
72±
0.0
06
1.3
66±
0.0
06
62,6
4C
1+
172.0
CIV
1.6
085
60206
0.0
35±
0.0
02
0.0
26±
0.0
02
7,1
0B
2H
CIV
1.6
149
59493
0.1
05±
0.0
04
≤0.1
32
12,1
3B
2IH
0.0
CIV
1.6
151
59472
0.3
08±
0.0
03
0.2
97±
0.0
03
8,1
1B
2,H
IH+
22.9
CIV
1.6
160
59378
0.0
47±
0.0
03
≤0.0
33
9,1
2C
2+
126.2
CIV
1.6
221
58699
≤0.2
84
0.1
44±
0.0
02
16,2
0C
2,H
H0.0
CIV
1.6
230
58601
≤0.5
12
0.1
90±
0.0
07
16,1
8B
2,H
H+
103.0
CIV
1.6
253
58350
0.0
21±
0.0
02
0.0
14±
0.0
02
18,2
2B
2H
CIV
1.6
556
55033
0.1
33±
0.0
04
0.0
81±
0.0
03
25,2
6C
1H
CIV
1.6
924
51029
0.0
84±
0.0
02
0.0
46±
0.0
02
27,2
8C
2H
0.0
CIV
1.6
930
50965
0.4
98±
0.0
05
0.1
85±
0.0
07
23,2
4C
2,H
LIH
+66.8
CIV
1.7
065
49509
0.0
42±
0.0
02
0.0
32±
0.0
02
29,3
0A
2H
CIV
1.7
212
47932
0.4
93±
0.0
05
0.0
53±
0.0
04
25,2
6C
2,H
HC
IV1.7
617
43596
0.0
10±
0.0
02
0.0
11±
0.0
02
33,3
6C
3LIH
0.0
CIV
1.7
627
43496
0.0
94±
0.0
02
0.0
66±
0.0
02
34,3
7B
1+
108.6
CIV
1.7
650
43250
0.0
41±
0.0
02
0.0
22±
0.0
02
35,3
8A
2H
0.0
CIV
1.7
652
43224
0.0
47±
0.0
02
0.0
35±
0.0
02
31,3
2A
2LIH
+21.7
CIV
1.8
909
30091
0.3
55±
0.0
04
0.3
09±
0.0
03
35,3
7C
1,H
LIH
0.0
CIV
1.8
909
30088
0.4
56±
0.0
06
≤0.5
01
41,4
3C
2,H
IH0.0
SiIV
1.8
909
30088
0.1
81±
0.0
03
≤0.2
68
5,1
0B
2,H
0.0
SiIV
1.8
909
30087
0.1
21±
0.0
04
0.1
19±
0.0
04
5,1
4B
20.0
SiIV
1.8
944
29737
0.3
80±
0.0
05
≤0.3
83
6,1
7C
2,H
LIH
0.0
CIV
1.8
945
29723
≤0.6
69
≤0.5
92
42,4
4C
2,H
+10.4
CIV
1.8
949
29686
0.4
13±
0.0
04
0.3
18±
0.0
04
36,3
9C
2,H
LIH
+51.8
SiIV
1.8
949
29685
0.1
37±
0.0
03
≤0.4
64
6,1
4B
2+
51.8
SiIV
1.8
975
29413
0.0
32±
0.0
02
0.0
19±
0.0
02
8,1
9B
2LIH
0.0
CIV
1.8
982
29343
0.1
93±
0.0
04
0.1
46±
0.0
05
38,4
0C
1,H
IH+
72.5
SiIV
1.8
982
29342
0.0
29±
0.0
03
0.0
13±
0.0
02
7,1
7C
2+
72.5
SiIV
1.9
016
28991
0.1
62±
0.0
03
0.1
42±
0.0
02
9,2
1C
1,H
LIH
0.0
CIV
1.9
019
28964
0.4
57±
0.0
05
0.3
63±
0.0
06
45,4
6C
1,H
+31.0
SiIV
1.9
024
28917
0.0
23±
0.0
02
0.0
13±
0.0
02
11,2
3B
2+
82.7
CIV
1.9
115
27981
0.5
72±
0.0
08
0.4
48±
0.0
07
41,4
3C
1,H
LIH
0.0
SiIV
1.9
115
27987
0.4
39±
0.0
04
0.3
18±
0.0
04
13,1
9C
1,H
0.0
SiIV
1.9
118
27949
≤0.2
48
≤0.1
97
15,2
4C
2,H
+30.9
CIV
1.9
119
27946
0.8
37±
0.0
09
0.6
79±
0.0
09
47,4
8C
1,H
LIH
+41.2
CIV
1.9
138
27745
0.4
84±
0.0
09
0.3
59±
0.0
09
42,4
4C
3,H
+236.9
SiIV
1.9
141
27718
≤0.4
61
0.2
05±
0.0
05
15,2
0B
2,H
LIH
+267.8
SiIV
1.9
420
24880
0.0
41±
0.0
02
0.0
19±
0.0
03
21,2
2C
2LI
CIV
2.1
081
8460
0.2
09±
0.0
04
0.1
10±
0.0
04
51,5
2B
1,H
IH0.0
CIV
2.1
084
8426
0.1
30±
0.0
02
0.0
74±
0.0
02
45,4
6C
2IH
+29.0
CIV
2.1
196
7348
≤0.0
65
0.0
24±
0.0
01
47,4
8C
2LH
0.0
CIV
2.1
209
7223
0.5
52±
0.0
03
0.4
70±
0.0
03
53,5
4C
1,H
LIH
+125.0
CIV
2.1
270
6643
0.1
45±
0.0
01
0.1
14±
0.0
01
49,5
0C
1H
0.0
CIV
2.1
276
6585
0.0
29±
0.0
02
0.0
14±
0.0
02
55,5
7C
2IH
+57.5
CIV
2.1
285
6500
0.1
83±
0.0
02
0.1
55±
0.0
02
56,5
8C
1,H
+143.9
CIV
2.1
349
5884
0.0
93±
0.0
03
0.0
46±
0.0
02
51,5
2C
1H
0.0
CIV
2.1
349
5886
0.0
73±
0.0
02
0.0
32±
0.0
02
59,6
0C
2H
0.0
12 Misawa et al.TA
BLE
2A
bso
rptio
nSyst
ems
wit
hD
oublet
Lin
es
CIV
2.1
800
1604
0.0
11±
0.0
01
0.0
08±
0.0
01
53,5
5C
2IH
0.0
SiIV
2.1
815
1458
0.1
15±
0.0
06
0.0
41±
0.0
05
33,3
4C
1+
141.5
CIV
2.1
818
1428
0.2
98±
0.0
02
0.2
09±
0.0
02
61,6
2C
1,H
LIH
+169.7
CIV
2.1
819
1416
0.4
25±
0.0
04
≤0.2
97
54,5
6C
1,H
+179.2
SiIV
2.1
821
1403
0.0
88±
0.0
02
0.0
62±
0.0
03
39,4
0C
1+
198.0
CIV
2.1
897
686
0.8
48±
0.0
03
≤1.4
05
63,6
4A
1,H
H0.0
CIV
2.1
898
676
0.9
02±
0.0
03
≤1.2
53
57,5
8A
1,H
H+
9.4
NV
2.1
900
657
0.9
45±
0.0
04
≤0.8
82
1,3
A1,H
+28.2
NV
2.1
900
658
0.8
88±
0.0
04
≤0.7
17
1,3
A1,H
+28.2
NV
2.1
955
141
≤1.4
94
1.3
41±
0.0
04
2,4
A1,H
H0.0
NV
2.1
955
141
≤1.2
31
1.2
01±
0.0
03
2,4
A1,H
H0.0
CIV
2.1
957
122
1.5
69±
0.0
03
1.2
24±
0.0
03
65,6
6A
1,H
+18.8
CIV
2.1
958
113
≤1.5
90
1.3
03±
0.0
03
59,6
0A
1,H
+28.2
aR
est-
fram
eeq
uiv
ale
nt
wid
thofblu
eco
mponen
tofdouble
tline.
bR
est-
fram
eeq
uiv
ale
nt
wid
thofre
dco
mponen
tofdouble
tline.
cR
elia
bility
class
ofin
trin
sic
lines
base
don
part
ialco
ver
age
analy
sis,
defi
ned
inM
isaw
aet
al.
(2007a).
Ifan
equiv
ale
nt
wid
this
larg
een
ough,w
ecl
ass
ify
the
double
tashom
ogen
eous
sam
ple
with
am
ark
of“H
”.
dIo
niz
ation
class
ofabso
rption
syst
emw
ith
hig
h(H
;IP
>60
eV),
inte
rmed
iate
(I;IP
=35
–50
eV),
and/or
low
(L;IP
<25
eV)
ioniz
ation
transi
tions.
eVel
oci
tydiff
eren
cefr
om
the
firs
tdouble
tin
each
abso
rption
syst
em.
Multi-Sightline Observation of NALs 13TA
BLE
3Lin
eParameters
of
Narrow
Abso
rptio
nC
omponents
λobsa
z absb
vejc
log
Nσ(v
)/bd
Oth
erIo
n(Å
)(k
ms−
1)
(cm
−2)
(km
s−1)
Cfe
Ionsf
Image
A
Mg
II4225.6
0.5
111
190431
47.3
Mg
Iλ2853,Fe
IIλ2600
(Fe
IIλ2383)
0.5
108
190464
12.9
6±
0.0
65.1±
0.2
0.9
3+
0.0
7−
0.0
6
0.5
112
190426
13.5
1±
0.0
510.5±
0.5
1.0
0+
0.0
6−
0.0
6
0.5
112
190423
13.6
9±
0.3
337.1±
7.2
0.1
9+
0.1
0−
0.0
90.5
113
190408
12.6
0±
0.0
27.6±
0.3
1.0
0
Mg
II4229.5
0.5
125
190265
17.9
Mg
Iλ2853,Fe
IIλ2600
(Fe
IIλ2344,Fe
IIλ2383)
0.5
125
190269
12.6
9±
0.0
26.0±
0.4
1.0
00.5
126
190261
12.7
0±
0.2
713.3±
4.2
0.8
3+
0.4
6−
0.2
8
Mg
II5376.1
0.9
176
141245
14.1
Mg
Iλ2853,Fe
IIλ2600
(AlII
Iλ1863)
0.9
176
141246
12.9
5±
0.0
24.7±
0.2
1.0
0
Mg
II5365.3
0.9
187
141116
68.1
Mg
Iλ2853,Fe
IIλ2344,2
600
(AlII
Iλ1863)
0.9
181
141190
12.5
0±
0.0
24.1±
0.3
1.0
00.9
185
141146
14.0
3±
0.0
216.9±
0.2
1.0
00.9
189
141094
14.9
4±
0.0
722.0±
0.5
0.9
9+
0.0
3−
0.0
3
CIV
4048.7
1.6
151
59472
26.0
SiIV
λ1394,1
403
1.6
151
59473
17.3
3±
0.0
68.7±
0.1
1.0
0+
0.0
4−
0.0
4
CIV
4050.1
1.6
160
59378
13.1
1.6
160
59379
13.6
6±
0.1
510.3±
1.1
0.4
2+
0.0
8−
0.0
8
CIV
4067.7
1.6
230
58601
38.3
1.6
229
58617
13.8
4±
0.0
213.0±
0.8
1.0
01.6
231
58590
13.9
3±
0.0
65.4±
0.6
1.0
01.6
236
58538
12.8
8±
0.0
99.7±
3.0
1.0
0
CIV
4169.3
1.6
930
50965
58.4
SiII
λ1527,A
lII
λ1671
(OI
λ1302,SiII
λ1260,C
IIλ1335,SiIV
λ1394)
1.6
928
50991
13.6
9±
0.0
239.0±
1.8
1.0
01.6
934
50925
13.5
2±
0.0
217.9±
0.7
1.0
0
CIV
4212.9
1.7
212
47932
41.9
Lyα
1.7
209
47955
13.2
5±
0.0
211.1±
0.7
1.0
01.7
214
47908
13.1
6±
0.0
29.2±
0.7
1.0
0
CIV
4281.1
1.7
652
43224
10.0
Lyα(O
Iλ1302,SiII
λ1207,SiIV
λ1394)
1.7
652
43223
13.7
1±
0.1
16.1±
0.5
0.5
8+
0.0
6−
0.0
6
CIV
4475.7
1.8
909
30091
30.8
Lyα,SiII
λ1527,A
lII
λ1671,(S
iII
λ1190,1
192,1
260,C
IIλ1335,SiII
Iλ1207)
1.8
909
30090
14.8
3±
0.0
520.9±
0.5
0.9
6+
0.0
5−
0.0
5
SiIV
4029.3
1.8
909
30088
27.1
Lyα,SiII
λ1527,A
lII
λ1671,(S
iII
λ1190,1
192,1
260,C
IIλ1335,SiII
Iλ1207)
1.8
906
30121
12.4
8±
0.1
12.8±
0.9
1.0
01.8
907
30111
12.4
9±
0.1
48.8±
3.1
1.0
01.8
910
30081
13.5
6±
0.0
211.2±
0.4
1.0
0
CIV
4481.8
1.8
949
29686
36.5
Lyα(C
IIλ1335,SiII
Iλ1207,N
Vλ1239,1
243)
1.8
945
29728
12.8
5±
0.2
67.7±
3.0
1.0
0
14 Misawa et al.TA
BLE
3Lin
eParameters
of
Narrow
Abso
rptio
nC
omponents
1.8
947
29703
14.1
4±
0.2
212.5±
4.2
1.0
01.8
949
29684
14.5
7±
0.2
39.0±
1.3
1.0
01.8
952
29654
13.7
4±
0.0
28.7±
0.4
1.0
0
SiIV
4034.7
1.8
949
29685
38.2
Lyα(C
IIλ1335,SiII
Iλ1207,N
Vλ1239,1
243)
1.8
949
29684
16.1
7±
0.0
52.2±
0.4
1.0
0
CIV
4487.0
1.8
982
29343
22.5
Lyα
1.8
981
29353
13.8
7±
0.0
711.9±
1.0
0.8
8+
0.0
7−
0.0
71.8
983
29332
13.4
5±
0.0
212.8±
0.6
1.0
0
SiIV
4039.4
1.8
982
29342
19.9
Lyα
1.8
980
29360
11.9
5±
0.0
94.8±
1.6
1.0
01.8
983
29337
12.4
0±
0.0
49.3±
1.2
1.0
0
CIV
4507.6
1.9
115
27981
48.8
Lyα,SiII
λ1527,A
lII
λ1671
(OI
λ1302,SiII
λ1190,1
193,1
260,SiII
Iλ1207)
1.9
115
27984
14.7
9±
0.0
436.0±
0.9
0.9
8+
0.0
8−
0.0
8
SiIV
4057.9
1.9
115
27987
44.5
Lyα,SiII
λ1527,A
lII
λ1671
(OI
λ1302,SiII
λ1190,1
193,1
260,SiII
Iλ1207)
1.9
112
28017
13.4
3±
0.0
413.7±
1.2
1.0
01.9
114
27995
13.3
5±
0.0
47.5±
0.7
1.0
01.9
115
27979
13.4
6±
0.0
346.9±
2.4
1.0
01.9
116
27973
13.8
4±
0.0
712.3±
1.4
0.9
6+
0.0
6−
0.0
6
CIV
4511.2
1.9
138
27745
64.0
Lyα,SiII
λ1527,A
lII
λ1671,C
IIλ1335
(SiII
λ1190,1
193,1
260,SiII
Iλ1207,N
Vλ1239,1
243)
1.9
133
27797
14.1
0±
0.0
823.1±
1.4
0.6
9+
0.0
9−
0.0
81.9
141
27716
14.3
4±
0.0
221.2±
0.6
1.0
0
SiIV
4087.8
1.9
141
27718
17.2
Lyα,SiII
λ1527,A
lII
λ1671,C
IIλ1335
(SiII
λ1190,1
193,1
260,SiII
Iλ1207,N
Vλ1239,1
243)
1.9
141
27720
13.6
1±
0.0
210.9±
0.4
1.0
01.9
143
27694
12.3
8±
0.0
94.9±
1.7
1.0
0
SiIV
4100.4
1.9
420
24880
13.2
Lyα,SiII
λ1527,A
lII
λ1671,C
IIλ1335
(OI
λ1302,SiII
λ1190,1
193,1
260,SiII
Iλ1207)
1.9
420
24879
12.7
0±
0.0
210.2±
0.7
1.0
0
CIV
4812.5
2.1
084
8426
21.2
Lyα,SiIV
λ1394
(SiII
Iλ1207)
2.1
083
8435
13.4
6±
0.0
311.8±
0.7
1.0
02.1
086
8415
13.1
9±
0.0
610.8±
1.0
1.0
0
CIV
4829.8
2.1
196
7348
17.1
Lyα,C
IIλ1335
2.1
196
7349
13.6
3±
0.1
413.9±
1.0
0.4
3+
0.1
2−
0.0
9
CIV
4841.2
2.1
270
6643
16.4
Lyα(N
Vλ1239,1
243)
2.1
270
6644
13.6
8±
0.1
014.5±
0.6
0.9
0+
0.1
2−
0.1
22.1
270
6638
13.8
6±
0.0
25.2±
0.1
1.0
0
CIV
4853.4
2.1
349
5884
35.3
Lyα
2.1
347
5903
13.0
3±
0.0
220.9±
1.5
1.0
02.1
351
5866
13.3
4±
0.1
811.3±
0.8
0.7
0+
0.4
5−
0.2
4
CIV
4923.2
2.1
800
1604
14.3
Lyα
2.1
799
1606
13.4
8±
0.3
510.2±
2.3
0.1
5+∞
−0.0
8
SiIV
4434.2
2.1
815
1458
73.3
Lyα(S
iII
Iλ1207)
2.1
810
1502
12.7
2±
0.0
35.8±
0.8
1.0
0
Multi-Sightline Observation of NALs 15TA
BLE
3Lin
eParameters
of
Narrow
Abso
rptio
nC
omponents
2.1
818
1427
12.5
4±
0.0
719.5±
4.4
1.0
02.1
822
1395
12.9
4±
0.2
53.0±
1.1
0.7
2+
0.2
3−
0.2
3
CIV
4926.3
2.1
819
1416
34.0
Lyα(S
iII
Iλ1207)
2.1
817
1436
13.6
9±
0.0
916.5±
1.7
0.8
8+
0.1
0−
0.1
02.1
820
1409
13.8
9±
0.0
129.1±
0.3
1.0
02.1
822
1394
13.6
1±
0.0
16.0±
0.3
1.0
0
CIV
g4944.5
2.1
937
347
400.1
Lyα,SiIV
λ1394,O
VI
λ1032,1
038
2.1
881
878
13.2
4±
0.0
125.6±
0.8
1.0
02.1
886
831
14.4
9±
0.0
711.6±
0.6
0.4
3+
0.0
2−
0.0
2
2.1
889
795
14.2
7±
0.2
38.6±
1.3
0.3
8+
0.0
2−
0.0
2
2.1
892
773
13.7
7±
0.2
011.1±
1.4
0.5
2+
0.0
8−
0.0
8
2.1
894
748
14.3
0±
0.1
77.8±
1.0
0.4
4+
0.0
2−
0.0
2
2.1
900
693
14.4
9±
0.0
225.3±
0.6
0.8
4+
0.0
2−
0.0
2
2.1
909
613
14.0
4±
0.0
320.3±
0.5
0.9
8+
0.0
3−
0.0
32.1
914
567
13.3
1±
0.0
116.6±
0.3
1.0
02.1
943
287
14.5
3±
0.0
217.8±
0.2
0.9
1+
0.0
2−
0.0
2
2.1
947
254
14.8
4±
0.1
810.0±
1.0
0.5
2+
0.0
2−
0.0
2
2.1
953
201
14.6
3±
0.0
222.5±
0.7
0.8
9+
0.0
2−
0.0
2
2.1
961
124
14.8
8±
0.0
329.4±
0.9
0.8
1+
0.0
2−
0.0
2
2.1
968
61
14.4
8±
0.0
225.9±
0.6
0.8
4+
0.0
2−
0.0
2
2.1
975
−11
14.2
8±
0.0
219.6±
0.5
0.4
6+
0.0
2−
0.0
2
2.1
981
−63
13.9
1±
0.0
314.9±
0.6
0.4
7+
0.0
3−
0.0
3
2.1
985
−100
14.0
9±
0.0
911.5±
1.0
0.1
8+
0.0
2−
0.0
2
NV
h3956.5
2.1
937
343
428.4
Lyα,SiIV
λ1394,O
VI
λ1032,1
038
2.1
879
889
13.3
8±
0.0
223.8±
1.2
1.0
02.1
885
834
13.8
1±
0.1
317.4±
1.0
0.8
5+
0.1
8−
0.1
7
2.1
893
762
14.2
6±
0.0
442.5±
1.7
0.9
7+
0.0
6−
0.0
6
2.1
900
691
14.8
8±
0.0
320.6±
0.5
0.8
8+
0.0
3−
0.0
3
2.1
909
614
14.5
5±
0.0
223.5±
0.5
0.9
7+
0.0
3−
0.0
32.1
914
567
13.9
0±
0.0
115.0±
0.2
1.0
02.1
944
285
14.8
3±
0.0
222.1±
0.4
0.9
7+
0.0
3−
0.0
3
2.1
953
201
14.9
2±
0.0
141.1±
1.6
0.9
7+
0.0
3−
0.0
3
2.1
961
125
15.4
5±
0.3
314.9±
1.8
0.8
4+
0.0
4−
0.0
4
2.1
966
75
15.2
1±
0.0
526.7±
0.8
0.9
2+
0.0
3−
0.0
3
2.1
976
−14
14.3
8±
0.0
425.6±
1.4
0.6
2+
0.0
3−
0.0
3
2.1
981
−61
14.2
1±
0.0
910.9±
1.2
0.5
3+
0.0
6−
0.0
62.1
984
−91
13.6
6±
0.0
126.3±
0.7
1.0
0
Image
B
Mg
II4229.3
0.5
124
190276
11.7
Fe
IIλ2600
0.5
124
190275
12.6
8±
0.1
811.3±
0.9
0.6
9+
0.2
9−
0.2
0
Mg
II4678.6
0.6
731
171003
78.2
Mg
Iλ2853,Fe
IIλ2344,2
383,2
600
0.6
725
171070
13.0
2±
1.0
32.4±
1.9
0.3
1+
0.1
0−
0.0
9
0.6
726
171059
13.4
9±
0.1
47.5±
1.7
0.9
2+
0.0
8−
0.0
8
16 Misawa et al.TA
BLE
3Lin
eParameters
of
Narrow
Abso
rptio
nC
omponents
0.6
727
171047
12.8
3±
0.5
216.5±
18.7
1.0
0+
0.2
1−
0.1
8
0.6
729
171032
13.0
3±
0.2
48.1±
2.4
1.0
0+
0.0
6−
0.0
60.6
730
171018
13.2
7±
0.0
112.0±
0.3
1.0
00.6
731
171008
14.2
9±
9.7
93.2±
9.0
0.9
8+
0.0
6−
0.0
60.6
732
170994
13.2
9±
0.0
116.5±
0.4
1.0
00.6
733
170980
13.6
7±
0.1
620.7±
5.0
1.0
0+
0.0
5−
0.0
50.6
735
170955
13.2
9±
0.0
117.6±
0.3
1.0
00.6
736
170947
13.3
8±
0.4
46.0±
2.0
0.5
5+
0.1
4−
0.1
4
Mg
II5364.4
0.9
184
141157
33.1
0.9
181
141186
12.4
5±
0.5
99.1±
2.0
0.2
9+∞
−0.3
2
0.9
184
141158
12.6
5±
0.1
29.6±
1.0
0.6
8+
0.1
8−
0.1
30.9
185
141142
12.2
2±
0.0
211.8±
0.7
1.0
0
CIV
4038.4
1.6
085
60206
11.2
1.6
085
60206
13.5
7±
0.1
88.0±
0.9
0.4
4+
0.1
0−
0.1
0
CIV
4048.4
1.6
149
59493
20.6
(SiIV
λ1394,1
403)
1.6
150
59491
12.3
8±
0.0
82.5±
4.5
1.0
01.6
150
59487
14.0
4±
0.0
69.2±
0.4
0.7
1+
0.0
6−
0.0
6
CIV
4066.3
1.6
221
58699
19.0
1.6
222
58699
14.1
2±
0.0
213.4±
0.4
1.0
0
CIV
4064.5
1.6
253
58350
13.7
1.6
253
58348
13.5
7±
0.2
46.0±
0.9
0.2
8+
0.0
8−
0.0
8
CIV
4111.4
1.6
556
55033
22.1
1.6
556
55033
13.8
2±
0.0
614.7±
0.5
0.8
5+
0.0
7−
0.0
6
CIV
4168.4
1.6
924
51029
14.7
1.6
925
51027
13.4
2±
0.0
111.4±
0.5
1.0
0
CIV
4190.2
1.7
065
49509
11.7
1.7
065
49508
13.6
8±
0.1
47.8±
0.8
0.4
6+
0.0
7−
0.0
6
CIV
4275.7
1.7
617
43596
11.1
Lyα
1.7
617
43596
14.1
7±
9.9
94.5±
25.6
0.1
5+
0.1
1−
0.1
1
CIV
4277.1
1.7
627
43496
20.9
Lyα,SiII
λ1527
(SiII
λ1260,C
IIλ1335,SiII
Iλ1207,SiIV
λ1394,1
403)
1.7
626
43503
13.7
8±
0.0
77.6±
0.7
0.8
3+
0.0
7−
0.0
6
1.7
628
43479
13.9
2±
0.3
722.0±
16.2
0.1
7+∞
−0.0
7
CIV
4280.7
1.7
650
43250
15.8
Lyα
1.7
650
43249
13.6
4±
0.2
011.7±
1.4
0.3
6+
0.1
2−
0.1
0
CIV
4475.7
1.8
909
30088
48.6
Lyα(S
iII
Iλ1207)
1.8
904
30140
13.4
2±
0.0
311.4±
0.8
1.0
01.8
910
30084
14.3
1±
0.0
625.0±
2.3
1.0
01.8
913
30055
13.1
5±
0.5
910.4±
6.0
1.0
01.8
915
30027
13.0
0±
0.0
811.3±
2.2
1.0
0
SiIV
i4029.3
1.8
909
30087
38.2
Lyα(S
iII
Iλ1207)
Multi-Sightline Observation of NALs 17TA
BLE
3Lin
eParameters
of
Narrow
Abso
rptio
nC
omponents
SiIV
4034.0
1.8
944
29737
76.4
Lyα,SiII
λ1527,A
lII
λ1671
(SiII
λ1190,1
193,1
260,C
IIλ1335,SiII
Iλ1207)
1.8
940
29771
13.8
7±
0.0
222.5±
0.4
1.0
01.8
947
29700
12.3
3±
0.0
810.1±
2.1
1.0
01.8
950
29675
12.9
2±
0.0
211.3±
0.7
1.0
01.8
954
29629
12.7
0±
0.0
312.6±
0.9
1.0
0
CIV
4488.7
1.8
945
29723
75.2
Lyα,SiII
λ1527,A
lII
λ1671
(SiII
λ1190,1
193,1
260,C
IIλ1335,SiII
Iλ1207)
1.8
939
29785
14.1
4±
0.0
916.9±
1.9
1.0
01.8
942
29753
14.5
1±
0.0
518.7±
1.4
1.0
01.8
946
29708
13.2
3±
0.1
47.7±
1.7
1.0
01.8
949
29682
14.2
5±
0.0
316.6±
1.2
1.0
01.8
953
29638
13.7
6±
0.0
731.2±
5.3
1.0
0
SiIV
4038.4
1.8
975
29413
11.2
Lyα,C
IVλ1548,1
551
(SiII
λ1260,SiII
Iλ1207)
1.8
975
29414
13.0
7±
0.2
07.4±
0.9
0.5
0+
0.1
6−
0.1
3
SiIV
4044.2
1.9
016
28991
18.5
Lyα,SiII
λ1527,A
lII
λ1671
(SiII
λ1190,1
193,1
260,C
IIλ1335,SiII
Iλ1207)
1.9
016
28992
13.8
7±
0.0
412.8±
0.3
0.9
2+
0.0
5−
0.0
5
CIV
4492.7
1.9
019
28964
52.4
Lyα,SiII
λ1527,A
lII
λ1671
(SiII
λ1190,1
193,1
260,C
IIλ1335,SiII
Iλ1207)
1.9
017
28988
14.5
1±
0.0
321.6±
0.5
0.9
6+
0.0
7−
0.0
7
1.9
024
28918
13.8
7±
0.0
512.5±
0.4
0.9
7+
0.0
8−
0.0
7
SiIV
4045.2
1.9
024
28917
11.1
Lyα,C
IVλ1548,1
551
1.9
023
28918
13.1
9±
0.2
56.8±
1.2
0.3
1+
0.1
0−
0.0
9
SiIV
4058.4
1.9
118
27949
26.7
Lyα