Abstract
We present measurements of the size of the quasar proximity zone (Rp) for 11 low-luminosity () quasars at z ∼ 6, discovered by the Subaru High-z Exploration of Low-Luminosity Quasars project. Our faint quasar sample expands the Rp measurement down to mag, where more common quasar populations dominate at the epoch. We restrict the sample to quasars whose systemic redshifts have been precisely measured by [C ii] 158 μm or Mg ii λ2798 emission lines. We also update the Rp measurements for 26 luminous quasars presented in Eilers et al. by using the latest systemic redshift results. The luminosity dependence on Rp is found to be consistent with the theoretical prediction assuming a highly ionized intergalactic medium. We find a shallow redshift evolution of the luminosity-corrected Rp, () over . This trend is steeper than that of Eilers et al., but significantly shallower than those of the earlier studies. Our results suggest that Rp,corr is insensitive to the neutral fraction of the universe at z ∼ 6. Four quasars show exceptionally small ( proper Mpc), which could be the result of their young age (<104 yr) in the reionization epoch, though statistics on this are still scarce.
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1. Introduction
Cosmic reionization was a key event in the early universe. After recombination at , the neutral intergalactic medium (IGM) was ionized by ultraviolet radiation from the first generations of stars and galaxies. Recent observations of the polarization of the cosmic microwave background imply a reionization redshift (Planck Collaboration et al. 2020) assuming instantaneous reionization, but when and how reionization proceeded is still under debate.
In recent years, the number of known quasars in the early universe at z > 6 has increased dramatically (Reed et al. 2017; Bañados et al. 2018; Matsuoka et al. 2019a; Wang et al. 2019). High-z () quasar spectra are used as a powerful probe of the state of the IGM in the reionization era. Absorption by neutral hydrogen in the Lyα forest in the IGM yields some characteristic features in quasar spectra. The observation of Lyα optical depth has revealed a steep increase in the IGM neutral fraction, , and its scatter at z > 5.5 (Fan et al. 2006; Becker et al. 2015; Eilers et al. 2018a). However, the Lyα forest cannot be used to measure at because it saturates when the IGM neutral fraction is high () (Gunn & Peterson 1965).
There is another approach to measure : the size of the proximity zone around quasars. The proximity zone is an ionized region around a quasar generated by intense quasar radiation (e.g., Cen & Haiman 2000). It has been argued that proximity zone radius, Rp, evolves with redshift as a good proxy of neutral fraction. If the IGM is uniform and the quasar lifetime is much less than both the hydrogen recombination time and the age of the universe at that redshift, Rp is given by
where is the rate of ionizing photons emitted by the quasar and tQ is the quasar age (Haiman 2002). Early observational studies found a steep evolution with redshift of proximity zone sizes. For example, Fan et al. (2006) measured proximity zone sizes of 19 quasars at and found that Rp decreases rapidly toward higher redshifts. Carilli et al. (2010) analyzed the proximity zone sizes of 27 quasars with more accurate redshifts and came to the same conclusion. Mortlock et al. (2011), Venemans et al. (2015), and Bañados et al. (2018) extended the measurements to z ∼ 7 quasars and confirmed this trend.
On the other hand, Bolton & Haehnelt (2007) used hydrodynamical simulations showing that the observed Rp differs from the true radii of the ionized region. In a highly ionized IGM, the observed Rp approximates the classical proximity zone, which is determined solely by the quasar luminosity, and does not correspond to the extent of an H ii region expanding into a neutral IGM. This leads to a substantial underestimate of the distance to the ionizing front around quasars in the highly ionized regime.
Eilers et al. (2017) systematically measured Rp for 34 luminous quasars, and found a shallower redshift evolution of luminosity-corrected Rp () than those of previous studies. The result is consistent with the prediction from hydrodynamical simulations by Bolton & Haehnelt (2007), suggesting that Rp is insensitive to the neutral fraction of the IGM. Mazzucchelli et al. (2017) also found the same shallow evolution for quasars. They also discovered quasars having Rp as small as < 1 proper Mpc (pMpc) after correcting by luminosity. This result implies that such quasars are young (< 105 yr; Eilers et al. 2017, 2018b, 2020). Davies et al. (2019) used their radiative transfer simulation to predict the time evolution of the quasar proximity zone size and showed that these small proximity zone sizes could be reproduced when the IGM gas has not yet reached photoionization equilibrium around young quasars.
However, all these studies are based only on luminous quasars, which might reside in unusually overdense regions at the epoch. Fainter quasars are more common in the universe and test the luminosity dependence in Equation (1) (e.g., Kulkarni et al. 2019; Matsuoka et al. 2019b). Therefore, it is important to expand the dynamic range of luminosity to the faint end. Moreover, since Equation (1) assumes a radiative equilibrium between the IGM and the quasar luminosity at all redshifts including z ∼ 6, observational measurements over a wide luminosity range will give insights into the physics of the proximity zone. This study, for the first time, measures proximity zone sizes for faint () quasars at z ∼ 6 to explore the luminosity dependence and robustness of Equation (1).
In Section 2, we describe the quasar sample we use in this work. We describe our method to predict intrinsic quasar spectra and to measure Rp in Section 3. We present the dependence of Rp on quasar luminosity and redshift and discuss the results in Section 4. We summarize our results in Section 5.
Throughout this paper, we adopt a flat Lambda cold dark matter cosmology with and H0 = 67.8 km s−1 pMpc−1 (Planck Collaboration et al. 2014).
2. Quasar Sample
2.1. Faint Quasars
Our faint sample consists of 11 quasars at (Table 1). All these quasars were discovered by the Subaru High-z Exploration of Low-Luminosity Quasars project (SHELLQs) using Hyper Suprime-Cam (HSC; Furusawa et al. 2018; Kawanomoto et al. 2018; Komiyama et al. 2018; Miyazaki et al. 2018) on the Subaru Telescope (e.g., Matsuoka et al. 2016, 2018a, 2018b). The spectroscopic identification was carried out with the Faint Object Camera and Spectrograph (FOCAS; Kashikawa et al. 2002) mounted on the Subaru Telescope for J0859+0022, J1153+0055, J1202−0057, J1208−0200, J2216−0116, and J2304+0045, and the Optical System for Imaging and low-intermediate-Resolution Integrated Spectroscopy (OSIRIS; Cepa et al. 2000) mounted on the Gran Telescopio Canarias for J0921+0007, J1406−0116, J1545+4232, J2216−0116, J2228+0152, and J2239+0207. FOCAS provides spectral coverage from to with a resolution , and OSIRIS provides spectral coverage from to 1.0 μm with a resolution . The exposure times are 170 minutes for J1202−0057, and 15 or 30 minutes for the other quasars.
Table 1. Overview of Our Faint Sample and Proximity Zone Sizes
Name | R.A. | Decl. | z | Redshift Line | References | M1450 (mag) | Rp (pMpc) | (pMpc) |
---|---|---|---|---|---|---|---|---|
J0859+0022 | 08h59m0719 | +00°22'559 | [C ii] | 1 | −23.10 ± 0.27 | 1.14 ± 0.03 | 3.14 ± 0.09 | |
J0921+0007 | 09h21m2056 | +00°07'229 | Mg ii | 3 | −26.16 ± 0.29 | 3.05 ± 0.45 | 1.64 ± 0.24 | |
J1152+0055 | 11h52m2127 | +00°55'366 | [C ii] | 1 | −25.08 ± 0.07 | 2.67 ± 0.03 | 2.56 ± 0.03 | |
J1202−0057 | 12h02m4637 | −00°57'017 | [C ii] | 1 | −22.83 ± 0.08 | 0.74 ± 0.01 | 2.34 ± 0.04 | |
J1208−0200 | 12h08m5923 | −02°00'348 | [C ii] | 2 | −24.36 ± 0.09 | 0.62 ± 0.01 | 0.87 ± 0.02 | |
J1406−0116 | 14h06m2912 | −01°16'112 | Mg ii | 3 | −24.76 ± 0.18 | 0.14 ± 0.05 | 0.16 ± 0.05 | |
J1545+4232 | 15h45m0562 | +42°32'116 | Mg ii | 3 | −24.76 ± 0.17 | 2.14 ± 0.18 | 2.43 ± 0.20 | |
J2216−0016 | 22h16m4447 | −00°16'501 | [C ii] | 1 | −23.65 ± 0.20 | 0.66 ± 0.02 | 1.36 ± 0.04 | |
J2228+0152 | 22h28m2783 | +01°28'095 | [C ii] | 2 | −24.00 ± 0.04 | 2.11 ± 0.02 | 3.60 ± 0.04 | |
J2239+0207 | 22h39m4747 | +02°07'475 | [C ii] | 2 | −24.60 ± 0.15 | 1.65 ± 0.02 | 2.04 ± 0.03 | |
J2304+0045 | 23h04m2297 | +00°45'054 | [C ii] | 4 | −24.28 ± 0.03 | 1.15 ± 0.01 | 1.68 ± 0.02 |
Note. The columns show the object name, coordinates, the redshift and its error, the lines used to measure redshift, absolute magnitude M1450, proximity zone sizes Rp, and luminosity-corrected proximity zone sizes . References for redshifts: (1) Izumi et al. (2018), (2) Izumi et al. (2019), (3) M. Onoue et al. (2020, in preparation), (4) T. Izumi et al. (2020, in preparation).
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Accurate redshift measurements are needed for an accurate prediction of the intrinsic spectra and are important in measuring Rp. The redshifts of eight of these quasars are from Izumi et al. (2018, 2019) and T. Izumi et al. (2020, in preparation) and have been accurately measured by the [C ii] 158 μm emission line. The three quasars, J0921+0007, J1406−0116, and J1545+4232, have Mg ii λ2798 redshifts, as well as a black hole mass () and Eddington ratio () measured from K-band spectra taken by Subaru/MOIRCS (ID: S19A-015, PI: M. Onoue). The Mg ii redshifts were derived from the peaks of the best-fit single Gaussian profiles of the emission lines, for which the power-law continuum and the rest-frame UV iron pseudocontinuum were subtracted beforehand with the empirical iron template of Vestergaard & Wilkes (2001). More details of the observations and the spectral analysis will be described in a forthcoming paper (M. Onoue et al. 2020, in preparation). One broad absorption line (BAL) quasar, J1205−0000, is excluded from our sample because it is difficult to determine its intrinsic spectrum. The absolute magnitude M1450 of each quasar is taken from Matsuoka et al. (2018a, 2018b) and Onoue et al. (2019). They were obtained by converting UV magnitudes, assuming the power-law continuum slope of () for J1202−0057, J2228+0152, and J2304+0045 (Matsuoka et al. 2018a, 2018b), and by fitting for the other quasars (Onoue et al. 2019).
2.2. Bright Quasars
In addition to our new quasar spectra, we use the sample of luminous quasars analyzed in Eilers et al. (2017). These spectra are taken from the igmspec16 database. We exclude those quasars whose redshifts were measured based on the Lyα emission line alone, as this line usually gives a redshift uncertainty as large as ∼1000 km s−1, in order to unify the redshift accuracy with our faint quasar sample. We also update some redshifts which have newly measured [C ii] or Mg ii lines (Willott et al. 2017; Decarli et al. 2018; Shen et al. 2019). We also exclude J0100+2802, because Fujimoto et al. (2020) suggested this extremely bright quasar could be amplified by gravitational lensing, while there is still debate for the interpretation.17 In the end, we use 26 quasar spectra from Eilers et al. (2017), the systemic redshifts of which are determined with [C ii], Mg ii, or CO emission lines, as summarized in Table 2.
Table 2. Overview of Our Bright Sample and Proximity Zone Sizes
Name | R.A. | Decl. | z | Redshift Line | References | M1450 (mag) | Rp (pMpc) | (pMpc) |
---|---|---|---|---|---|---|---|---|
J0002+2550 | 00h02m3939 | +25°50'3496 | 5.818 ± 0.007a | Mg ii | 15 | −27.31 | 8.83 ± 0.46 | 2.58 ± 0.13 |
J0005−0006 | 00h05m5234 | −00°06'5580 | 5.844 ± 0.001 | Mg ii | 6 | −25.73 | 2.91 ± 0.06 | 1.97 ± 0.04 |
J0050+3445 | 00h55m0291 | +34°45'2165 | 6.253 ± 0.003 | Mg ii | 5 | −26.70 | 3.96 ± 0.17 | 1.60 ± 0.07 |
J0148+0600 | 01h48m3764 | +06°00'2006 | 5.98 ± 0.01 | Mg ii | 10 | −27.39 | 6.11 ± 0.64 | 1.71 ± 0.18 |
J0210−0456 | 02h10m1319 | −04°56'2090 | 6.4323 ± 0.0005 | [C ii] | 8 | −24.53 | 1.38 ± 0.03 | 1.77 ± 0.04 |
J0226+0302 | 02h26m0187 | +03°02'5942 | 6.5412 ± 0.0018 | [C ii] | 9 | −27.33 | 3.66 ± 0.09 | 1.06 ± 0.03 |
J0227−0605 | 02h27m4329 | −06°05'3020 | 6.212 ± 0.007a | Mg ii | 15 | −25.28 | 2.27 ± 0.40 | 1.95 ± 0.35 |
J0303−0019 | 03h03m3140 | −00°19'1290 | 6.078 ± 0.007 | Mg ii | 3 | −25.56 | 2.28 ± 0.44 | 1.69 ± 0.33 |
J0836+0054 | 08h36m4386 | +00°54'5326 | 5.810 ± 0.003 | Mg ii | 2 | −27.75 | 5.16 ± 0.20 | 1.19 ± 0.05 |
J0842+1218 | 08h42m2943 | +12°18'5058 | 6.0763 ± 0.0005a | [C ii] | 14 | −26.91 | 6.95 ± 0.04 | 2.52 ± 0.01 |
J0927+2001 | 09h27m2182 | +20°01'2364 | 5.7722 ± 0.0006 | CO | 4 | −26.76 | 4.69 ± 0.05 | 1.84 ± 0.02 |
J1030+0524 | 10h30m2711 | +05°24'5506 | 6.309 ± 0.009 | Mg ii | 1 | −26.99 | 6.00 ± 0.51 | 2.08 ± 0.18 |
J1137+3549 | 11h37m1773 | +35°49'5685 | 6.009 ± 0.010a | Mg ii | 15 | −27.36 | 5.81 ± 0.62 | 1.66 ± 0.18 |
J1148+5251 | 11h48m1665 | +52°51'5039 | 6.4189 ± 0.0006 | [C ii] | 11 | −27.62 | 4.70 ± 0.03 | 1.16 ± 0.01 |
J1250+3130 | 12h50m5193 | +31°30'2190 | 6.138 ± 0.005a | Mg ii | 15 | −26.53 | 4.91 ± 0.29 | 2.17 ± 0.13 |
J1306+0356 | 13h06m0827 | +03°56'2636 | 6.0337 ± 0.0004a | [C ii] | 14 | −26.81 | 6.51 ± 0.02 | 2.48 ± 0.01 |
J1319+0950 | 13h19m1130 | +09°50'5152 | 6.1330 ± 0.0007 | [C ii] | 7 | −27.05 | 4.99 ± 0.04 | 1.68 ± 0.01 |
J1335+3533 | 13h35m5081 | +35°33'1582 | 5.9012 ± 0.0019 | CO | 4 | −26.67 | 0.70 ± 0.10 | 0.29 ± 0.04 |
J1411+1217 | 14h11m1129 | +12°17'3728 | 5.904 ± 0.002 | Mg ii | 2 | −26.69 | 4.61 ± 0.13 | 1.88 ± 0.05 |
J1602+4228 | 16h02m5398 | +42°28'2494 | 6.083 ± 0.005a | Mg ii | 15 | −26.94 | 6.82 ± 0.29 | 2.43 ± 0.10 |
J1623+3112 | 16h23m3181 | +31°12'0053 | 6.2572 ± 0.0024 | [C ii] | 12 | −26.55 | 5.05 ± 0.14 | 2.21 ± 0.06 |
J1630+4012 | 16h30m3390 | +40°12'0969 | 6.065 ± 0.007 | Mg ii | 3 | −26.19 | 5.25 ± 1.03 | 2.79 ± 0.55 |
J1641+3755 | 16h41m2173 | +37°55'2015 | 6.047 ± 0.003 | Mg ii | 5 | −25.67 | 4.00 ± 0.18 | 2.80 ± 0.13 |
J2054−0005 | 20h54m0649 | −00°05'1480 | 6.0391 ± 0.0001 | [C ii] | 7 | −26.21 | 3.12 ± 0.01 | 1.64 ± 0.01 |
J2229+1457 | 22h29m0165 | +14°57'0900 | 6.1517 ± 0.0005 | [C ii] | 11 | −24.78 | 0.48 ± 0.04 | 0.54 ± 0.04 |
J2329−0301 | 23h29m0828 | −03°01'5880 | 6.4164 ± 0.0008a | [C ii] | 13 | −25.25 | 2.73 ± 0.04 | 2.39 ± 0.04 |
Notes. Same as Table 1, but for the bright sample from Eilers et al. (2017). Absolute magnitudes M1450 are taken from Bañados et al. (2016). References for redshifts: (1) Jiang et al. (2007), (2) Kurk et al. (2007), (3) Carilli et al. (2010), (4) Wang et al. (2010), (5) Willott et al. (2010), (6) De Rosa et al. (2011), (7) Wang et al. (2013), (8) Willott et al. (2013), (9) Bañados et al. (2015), (10) Becker et al. (2015), (11) Willott et al. (2015), (12) Eilers et al. (2017), (13) Willott et al. (2017), (14) Decarli et al. (2018), (15) Shen et al. (2019).
aThe redshifts updated from Eilers et al. (2017), Willott et al. (2017); Decarli et al. (2018); Shen et al. (2019).Download table as: ASCIITypeset image
Figure 1 compares magnitudes and redshifts between our new sample and that of Eilers et al. (2017). Our new sample is 2–3 mag fainter than that of Eilers et al. (2017). The combined sample gives us a dynamic range of 5 mag in luminosity.
3. The Proximity Zone Size Measurements
3.1. Quasar Continuum Normalization
We estimate the quasar intrinsic spectra after normalizing at rest 1280 Å with principal component spectra (PCS) from a principal component analysis (PCA) of low-redshift quasar spectra. This approach is justified by lack of spectral evolution of quasars (e.g., Jiang et al. 2009). In PCA, the quasar spectrum, , is modeled as a mean quasar spectrum, , and a linear combination of PCS:
where i refers to a ith quasar, is the jth PCS, and cij is the weight. We use the PCS from Suzuki et al. (2005). First, , the weights for the spectrum redward of 1216 Å, are derived by
where is the upper limit of available wavelength in each observed quasar spectrum. Suzuki et al. (2005) produced PCS for 1216–1600 Å, while our faint sample usually has coverages up to ∼1350 Å.
Then we use the projection matrix to calculate cij, the weights for the whole intrinsic spectrum, covering the entire spectral region between 1020 and 1600 Å, using
The projection matrix is also taken from Suzuki et al. (2005). It is the matrix which satisfies the relation , where and are the weights of principal components of the whole and the redward of the quasar spectrum derived in Suzuki et al. (2005), respectively.
Eilers et al. (2017) mainly used PCS from Pâris et al. (2011), but we use PCS and the projection matrix from Suzuki et al. (2005), who constructed the PCS using fainter quasars at than those of Pâris et al. (2011). However, we found no significant difference in the results between the two.We use five PCS for all quasar spectra.
The spectra of our faint sample and the PCA fits are shown in Figure 2.
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Standard image High-resolution image3.2. Measuring Proximity Zone Sizes
We adopt the same definition of proximity zone size as was used in Fan et al. (2006). It is the physical distance between the quasar host galaxy () and the point where the transmitted flux ratio first drops below 0.1, using the observed quasar spectrum after smoothing to a resolution of 20 Å in the observed frame (). We regard the first of three consecutive pixels blueward of Lyα as the end of the proximity zone (Eilers et al. 2017), and calculate proximity zone sizes using
where and are the comoving distances implied by and , respectively. Figure 3 shows the continuum-normalized spectra around the proximity zone of each quasar in our faint quasar sample, and the measured Rp are listed in Tables 1 and 2.
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Standard image High-resolution imageIn general, the observed wavelength range of the rest-UV spectrum of quasars is limited, which could cause a poor prediction of the intrinsic spectrum using PCA. The near-IR (NIR) spectra are available for five quasars, J0859+0022, J1152+0055, J1208−0200, J2216−0016, and J2239+0207 (Onoue et al. 2019), which extend spectral coverage much further to . The NIR spectra of the first two, J0859+0022 and J1152+0055, were taken by the Very Large Telescope/X-SHOOTER, and the NIR spectra of the latter three were taken by the Gemini Near-InfraRed Spectrograph. In addition, for the first two, the optical spectra taken by X-SHOOTER are available, which have higher resolutions and deeper integrations than the FOCAS/OSIRIS one (Onoue et al. 2019). We use their optical and NIR spectra to measure Rp of these five quasars. When we use only the optical spectra, the resultant Rp are 1.22 ± 0.06 pMpc, 2.60 ± 0.03 pMpc, 0.62 ± 0.01 pMpc, 0.66 ± 0.02 pMpc, and 1.31 ± 0.02 pMpc. Three of them, J0859+0022, J1208−0200, and J2216−0016, are consistent within the errors with those in Table 1, suggesting that our Rp measurements are not significantly affected by the limited wavelength coverage.
Several quasars show a weak or no Lyα emission line, i.e., J1208−0200 and J1406−0116, as is often seen in quasars (e.g., Bañados et al. 2014). This could give rise to a poor PCA fit around the wavelength of Lyα showing apparent negative Lyα emission. As a test, we remeasured Rp for these two quasars using a simple power-law fit to the continuum (Fan et al. 2006; Carilli et al. 2010) over wavelength intervals devoid of emission lines at 1275–1295 and 1325–1335 Å in the rest frame. The resultant Rp are 0.55 ± 0.01 pMpc and 1.03 ± 0.41 pMpc for J1208−0200 and J1406−0116, respectively. The Rp of J1406−0116 is larger than the PCA measurement, which gives an extremely small Rp, probably due to its relatively noisy spectrum. Although it is hard to determine which measurement is likely to be more accurate for J1406−0116 due to their relatively poor quality spectra, we decide to adopt the PCA measurement to keep consistency with the other sample. The Rp of J1406−0116 might have large uncertainty, but we find this discrepancy does not affect the final result of the luminosity (Section 4.2) and redshift (Section 4.3) dependences.
Figure 4 shows a comparison in Rp for the bright sample between our measurement and Eilers et al. (2017). They are in good agreement with each other except for those quasars whose redshifts have been updated using data from Willott et al. (2017), Decarli et al. (2018), and Shen et al. (2019). Consequently, this moderately changes the PCA fit, supporting our previous statement that accurate redshift measurements are needed for the accurate Rp measurements.
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Standard image High-resolution imageIt should be noted that the spectrum signal-to-noise ratios (S/N) of the faint sample are generally lower than those of the bright sample. We check the Rp uncertainties due to the spectral noise by the following Monte Carlo simulation using the noise spectra. In this process, the flux of each spectral pixel was associated with a random error perturbed within the measured 1σ error. We generated 100 mock spectra and repeated the PCA. The Rp uncertainty of the trials is found to be 0.33 ± 0.32 pMpc, which is comparable to the errors due to the redshift uncertainty, except for the two quasars J0921+0007 (0.71 pMpc) and J1202−0057 (1.06 pMpc). We also found the error is almost negligible for the two quasar spectra, J0859+0022 and J1152+0055, taken by X-SHOOTER. The 16th and 84th percentiles of these uncertainties are 0.07 pMpc and 0.64 pMpc, respectively. We confirm this additional error does not significantly change the result. It is not clear how large the error for the bright sample from Eilers et al. (2017) is. To make a fair comparison with the bright sample, this error is not taken into account.
4. Results and Discussion
4.1. Proximity Zone Sizes Using Stacked Spectra
To illustrate the luminosity dependence, we create mean-stacked spectra of the faint and the bright samples, and measure Rp for both. These spectra were generated by normalizing each spectrum by the flux density at 1280 Å of PCA fit, converting to the rest frame, and then mean stacking. When we measure Rp of these spectra, we assume the mean redshifts of each sample as the stacked quasar redshift. Figure 5 shows the two stacked spectra. The Rp of our faint and bright quasar samples are pMpc and 5.45 ± 0.06 pMpc, respectively. Our faint sample shows significantly smaller Rp than that of the bright sample, as predicted by Equation (1).
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Standard image High-resolution imageMatsuoka et al. (2019a) suggested the faint sample shows systematically narrower Lyα emission. The composite spectra shown in Figure 5 based on more accurate systemic redshift definitely shows that the faint quasar sample has narrower Lyα emission than the brighter sample. The reason for this is unclear, it may be partly due to contamination from narrow line quasars with exceptionally narrow Lyα emission lines (Kashikawa et al. 2015; Matsuoka et al. 2019a).
4.2. Luminosity Dependence
Figure 6 shows the relation between quasar proximity zone sizes Rp and quasar absolute magnitude M1450. We define α as a power-law index of luminosity dependence of Rp (). A power-law fit to our measurements weighted by errors gives
In the fit, we weight the measurement by the errors. The 1σ uncertainty of this fit is calculated by bootstrapping the fit 1000 times. The best fit described in Eilers et al. (2017) is
We normalize the relation at , which is the midpoint of our data, while Eilers et al. (2017) normalized at . We obtain a steeper relation than the best fit in Eilers et al. (2017). The luminosity dependence of proximity zone sizes could, in principle, depend on the IGM ionization state. Equation (1) indicates that Rp is proportional to in the case of a neutral IGM, while Bolton & Haehnelt (2007) showed analytically that the proximity zone size scales as , in the case of a highly ionized IGM. Our result on the luminosity dependence is close to the prediction for the ionized IGM, suggesting that most of the surrounding IGM is ionized at . As described in the Introduction, the observed proximity zone sizes Rp are not strictly identical to the distances to the ionization front, and the actual luminosity dependence could be affected by the detailed ionizing process; therefore, radiative transfer simulations would be required to make a further comparison with our result. The simulation of Eilers et al. (2017), whose fit is over the luminosity range of their sample, predicts a scaling of in a highly ionized IGM.
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Standard image High-resolution image4.3. Redshift Evolution
In order to examine the redshift evolution of Rp, we use the luminosity scaling of our data from Equation (6);18
to rescale the measured Rp, and the derived are listed in Tables 1 and 2. Figure 7 shows the redshift evolution of proximity zone sizes corrected by absolute magnitude. We define β as a power-law index of a dependence on redshifts of ( A power-law fit using both the faint and the bright quasar sample gives
The 1σ uncertainty is calculated by bootstrapping. The redshift dependency is steeper than the best fit by Eilers et al. (2017), . When we do not weight the measurement by the errors as Eilers et al. (2017) did not, a power-law fit gives , consistent with Eilers et al. (2017). It is substantially shallower than that found in earlier studies, which presented a linear fit to their corrected measurements for quasars (Carilli et al. 2010; Venemans et al. 2015). When we correct Rp using Equation (8) for the measurements by Carilli et al. (2010) and Venemans et al. (2015), the power-law fit gives , respectively. Thus we conclude that our Rp shows a mild evolution at .
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Standard image High-resolution imageWhen using only the bright quasar sample, we obtain
as the best fit, which is consistent with Equation (9) for the full sample. We note that Eilers et al. (2017) corrected the luminosity dependence of Rp with a factor rather than their best-fit result, . On the other hand, the best fit using the faint sample only is
No redshift dependence is detected, and the is slightly smaller than that of the bright sample only. All these three fits show a shallow to no redshift evolution. A Kolmogorov–Smirnov test to access the statistical significance of the difference between the faint sample and the bright sample yielded p = 0.93, suggesting that the difference between the two is statistically insignificant; the two samples have almost the same distribution of corrected proximity zone sizes, albeit the faint sample has large errors. The size of our faint sample is still small, and we will be able to make firmer conclusions as the sample of faint quasars with accurate redshifts grows.
4.4. Young Quasar Candidates with Exceptionally Small Proximity Zones
Davies et al. (2019) presented a radiative transfer simulation to investigate the behavior of Rp. They found that the only quasars with pMpc are young ( yr), where Rp is normalized to an absolute magnitude of . This corresponds to pMpc with our normalization at using Equation (8). There are two quasars that meet this criterion in the faint sample, J1208−0200 and J1406−0116, and two in the bright sample, J1335+3533 and J2229+1457, which Eilers et al. (2017) also suggested have an exceptionally small proximity zone size. We should note that the Rp measurement of J1406−0116 might be inaccurate due to a poor PCA fit (see Section 3.2). These four quasars may be young, but it is also possible that neutral gas lying along the quasar sightline truncates the proximity zones. One piece of evidence for such a clump of high column density neutral gas, such as damped Lyα systems (DLAs) and Lyman limit systems, would be the presence of associated metal-line absorbers (Eilers et al. 2017). Eilers et al. (2018b) conducted spectroscopic observations of J1335+3533 and ruled out the possibility that its small Rp is due to an associated absorption system. J1208−0200 shows significant absorption redward of the Lyα emission line, implying the presence of a strong foreground absorption feature such as a proximate DLA, which could exhibit low-ionization metal absorption lines. We search corresponding low-ionization metal absorption lines in the spectrum of J1208−0200, Si ii (1260.42 Å and 1304.37 Å), O i (1302.16 Å), and [C ii] (1334.53 Å), and find no clear absorption features. However, the spectra of our faint quasar sample, in general, have insufficient S/N to identify very weak metal absorption features.
Eight objects in our faint sample have Mg ii-based measurements of black hole mass and Eddington ratio (Onoue et al. 2019) and M. Onoue (2020, in preparation), as do 21 objects in the bright sample (Shen et al. 2019). We examine the correlation between black hole mass, Eddington ratio, and proximity zone size in Figure 8. Young quasar candidates suggested by extremely small Rp tend to have smaller and lower Eddington ratio, though there is no clear correlation.
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Standard image High-resolution imageMeyer et al. (2019) found that the average blueshift of the C iv emission line with respect to low-ionization lines in quasar spectra increases significantly at . The authors interpreted this trend as due to strong outflows, likely related to the relative youth of high-z quasars. Five objects in our faint sample, J0859+0022, J1152+0055, J1208−0200, J2216−0016, and J2239+0207, were found to have significant C iv blueshift with respect to Mg ii lines (Onoue et al. 2019, Table 3). Interestingly, the quasar with the most extreme blueshifted C iv is J1208−0200 (1830 km s−1), and J2216−0016 (1170 km s−1) is the second most extreme among these five quasars. J1208−0200 is suggested as young quasar candidate because of its extreme small proximity zone, and J2216−0016 also exhibits a relatively small proximity zone, pMpc. Both observational quantities consistently indicate the young age of quasars. Farina et al. (2019) recently conducted a sensitive search for extended Lyα halos around quasars with the Multi Unit Spectroscopic Explorer. While they detected significant extended Lyα emissions around 12 quasars, one of the young quasar candidates, J2229+1457, does not show an extended Lyα halo. Another young quasar candidate from our faint sample, J2216−0016, is also observed by Farina et al. (2019) and it also does not have an extended Lyα halo. As discussed in Farina et al. (2019), a young quasar with does not have enough time to light up an extended Lyα halo with more than a 10 pkpc radius, large enough to be observed by their survey. Along with the proximity zone size and the C iv blueshift, the Lyα halo extension could be another promising observational diagnostic of young quasars; however, a larger sample is obviously required to make a clear conclusion.
Eilers et al. (2020) additionally found four young quasar candidates with extremely small proximity zone sizes. They constrained the fraction of young quasars within the luminous () quasars as , while it is interesting to note that our faint sample exhibits a high fraction as . Future observations of such first quasars will reveal the nature of quasar activity, such as their lifetime and duty cycle.
5. Summary
In this paper, we measure the proximity zone sizes for a sample which consists of 11 faint quasars discovered by the SHELLQs project, and 26 luminous quasars which were analyzed in Eilers et al. (2017). Our faint sample significantly expands the dynamic range of quasar luminosity to examine more common and numerous quasar environments in the reionization era. It is essential to use precise redshifts for accurate Rp measurement. All the redshifts of our quasar sample have been accurately measured from the [C ii], Mg ii, or CO emission lines.
We estimate the intrinsic quasar spectra by PCA, using PCS from Suzuki et al. (2005), and measure the size of the proximity zones. The major results in this study are summarized below.
- 1.We compare the mean-stacked spectra based on the accurate systemic redshifts of our faint and bright samples. The Rp of the faint sample is significantly smaller than that of the bright sample. The faint sample shows a narrower Lyα emission line than that of the bright sample.
- 2.The best fit of dependence of the proximity zone size on quasar luminosity is found to be . This shallow relation is consistent with a theoretical model which assumes an ionized IGM (Bolton & Haehnelt 2007). We use the best fit to rescale Rp by quasar luminosity.
- 3.Our results find a shallow redshift evolution, . This relation is steeper than that of Eilers et al. (2017), and significantly shallower than those of Carilli et al. (2010) and Venemans et al. (2015), both of which are based on the luminous quasar sample. The Rp of the faint sample tends to be smaller than that of the bright sample, though with small significance.
- 4.Two quasars in the faint sample and two in the bright sample show exceptionally small proximity zones ( pMpc), implying that such quasars are young ( yr). Some of these quasars have significantly blueshifted C iv emission lines and show no Lyα extended halos, although statistical uncertainties still remain. Further observation is required to uncover the local environment of high-z quasars and the IGM state at the reionization epoch.
We appreciate the anonymous referee for helpful comments and suggestions that improved the manuscript.
The Hyper Suprime-Cam (HSC) collaboration includes the astronomical communities of Japan and Taiwan, and Princeton University. The HSC instrumentation and software were developed by NAOJ, the Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU), the University of Tokyo, the High Energy Accelerator Research Organization (KEK), the Academia Sinica Institute for Astronomy and Astrophysics in Taiwan (ASIAA), and Princeton University. Funding was contributed by the FIRST program from Japanese Cabinet Office, the Ministry of Education, Culture, Sports, Science and Technology (MEXT), the Japan Society for the Promotion of Science (JSPS), Japan Scienceprovide us and Technology Agency (JST), the Toray Science Foundation, NAOJ, Kavli IPMU, KEK, ASIAA, and Princeton University.
This paper makes use of software developed for the Large Synoptic Survey Telescope (LSST). We thank the LSST Project for making their code available as free software at http://dm.lsst.org.
The Pan-STARRS1 Surveys (PS1) have been made possible through contributions of the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, the Johns Hopkins University, Durham University, the University of Edinburgh, Queen's University Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, the National Aeronautics and Space Administration under grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation under grant No. AST-1238877, the University of Maryland, and Eötvös Lorand University (ELTE).
Facilities: Subaru - Subaru Telescope, GTC - , VLT:Kueyen - , Gemini:Gillett. - Software: astropy (Astropy Collaboration et al. 2013, 2018), igmspec (http://specdb.readthedocs.io/en/latest/igmspec.html).
Footnotes
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Actually, if the lensing hypothesis is correct, the measured proximity zone size for J0100+2802 (Rp = 7.12 pMpc; Eilers et al. 2017) is too large for the after correcting by the inferred magnification factor (see Figure 6). On the other hand, it is also argued that the Rp measurement is exceptionally smaller than the prediction from its uniquely bright observed luminosity of (Eilers et al. 2017).
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We denote our luminosity-corrected Rp measurement as , normalized at , while Eilers et al. (2017) normalized at .