Abstract
We present a statistical study of the [C i] (3P1 3P0), [C i] (3P2 3P1) lines (hereafter [C i] (1–0) and [C i] (2–1), respectively) and the CO(1–0) line for a sample of (ultra-)luminous infrared galaxies ((U)LIRGs). We explore the correlations between the luminosities of CO(1–0) and [C i] lines, and find that correlates almost linearly with both and , suggesting that [C i] lines can trace total molecular gas mass, at least for (U)LIRGs. We also investigate the dependence of /, /, and / on the far-infrared color of 60-to-100 μm, and find non-correlation, a weak correlation, and a modest correlation, respectively. Under the assumption that these two carbon transitions are optically thin, we further calculate the [C i] line excitation temperatures, atomic carbon masses, and mean [C i] line flux-to-H2 mass conversion factors for our sample. The resulting masses using these [C i]-based conversion factors roughly agree with those derived from and CO-to-H2 conversion factor.
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1. Introduction
Carbon monoxide (CO) is the most commonly used molecular gas mass tracer in galaxies (e.g., Solomon & Vanden Bout 2005; Bolatto et al. 2013). The low-J CO transitions trace the total molecular gas mass with the CO-to-H2 conversion factor (). However, could vary by a factor of ∼10 under different physical environments (e.g., Papadopoulos et al. 2012; Bolatto et al. 2013). Furthermore, low-J CO transitions in high-z galaxies become difficult to observe with currently available ground facilities due to their limited sensitivities and the increasing cosmic microwave background (e.g., Zhang et al. 2016). The high-J CO transitions, on the other hand, cannot trace the total molecular gas mass due to their high critical densities and excitation energies. Therefore, it becomes important and urgent to have some alternative H2 tracers, as more and more high-z targets are routinely observed in high-J CO transitions (e.g., Carilli & Walter 2013).
The emission of the two fine-structure transitions of the atomic carbon (C i) in its ground state may be a particularly powerful molecular gas tracer in addition to canonical CO-based methods (e.g., Papadopoulos et al. 2004; Walter et al. 2011) due to the following reasons. The critical densities (ncrit) of [C i](3P1 3P0) (rest frequency: 492.161 GHz, hereafter [C i] (1–0)), and [C i] (3P2 3P1) (rest frequency: 809.344 GHz, hereafter [C i] (2–1)) are and (Papadopoulos et al. 2004), respectively, which are similar to that of CO() (hereafter CO(1–0); at kinetic temperature ; Yang et al. 2010). In classical photodissociation region models, [C i] only exists in a narrow [C ii]/[C i]/CO transition zone (Tielens & Hollenbach 1985). Recent observations and studies show that [C i] can coexist with CO deep inside molecular clouds, with a remarkably constant column density ratio between [C i] and CO (Ikeda et al. 2002). For the nuclear regions or innermost disk centers of nearby galaxies, Israel et al. (2015) found that the abundance of [C i] is close to, or even exceeds, the CO abundance. Moreover, [C i] (1–0) and [C i] (2–1) emit 2–10 times higher energy than CO(1–0), even in the coldest H2 gas, so the [C i] lines are better tracers of cold molecular gas for high-z galaxies as compared to the observed mid/high-J CO transitions, which only pick up the dense and warm H2 gas. In addition, recent studies show that cosmic rays can destroy CO (but not H2) very effectively, leaving behind a C-rich phase (e.g., Bisbas et al. 2015; Krips et al. 2016), which further indicates that the optically thin [C i] lines may represent a promising alternative to determining the total molecular gas.
Observations of [C i] emission in nearby galaxies have been difficult due to the fact that the atmospheric transmissions at these frequencies are poor, which severely limits large surveys of the [C i] emission in the local Universe. However, the limited observations of the [C i] emission using ground-based facilities in nearby (e.g., White et al. 1994; Ojha et al. 2001; Israel et al. 2015) and high-z (Weiß et al. 2005; Walter et al. 2011) systems indeed suggest that [C i] may trace H2 in galaxies near and far, similarly to the low-J CO lines (e.g., Zhang et al. 2014). Therefore, it is important to have a large sample of local galaxies upon which to carry out statistical studies and to compare to those of CO studies.
Thanks to the advent of the Herschel Space Observatory (Herschel; Pilbratt et al. 2010), a large number of local galaxies have been observed spectroscopically in the submillimeter window, using the Herschel Spectral and Photometric Imaging Receiver Fourier Transform Spectrometer (SPIRE/FTS; Griffin et al. 2010). Abundant ionized, atomic, and molecular lines, including [C i] (1–0) and [C i] (2–1), are detected (e.g., Lu et al. 2017), which allows us to carry out robust statistical analysis.
In this Letter, we present a statistical study of the [C i] (1–0) and [C i] (2–1) lines for a large sample of local luminous infrared galaxies (LIRGs; , Sanders et al. 2003) observed with the SPIRE/FTS. The remainder of the paper is organized as follows. We briefly introduce the sample, observations, and data reduction in Section 2. The results and discussion are presented in Section 3, where we investigate the correlation between the [C i] and CO(1–0) lines, and also calculate the conversion factors, (). In the last section we summarize the main conclusions. Throughout the Letter, we use a Hubble constant of , and .
2. Sample and Data Reduction
The sample discussed in this Letter is selected from the program A Herschel Spectroscopic Survey of Warm Molecular Gas in Local LIRGs (PI: N. Lu), which focuses on studying the dense and warm molecular gas properties of 125 LIRGs (e.g., Lu et al. 2014, 2015). These LIRGs comprise a flux-limited subset of the Great Observatories All-Sky LIRGs Survey sample (Armus et al. 2009). The complete data set of the spectral lines and their fluxes for individual galaxies is given in Lu et al. (2017), and the measured [C i] fluxes used here were based on the point-source flux calibration, as also described in Zhao et al. (2016) and Lu et al. (2014). Here we present a subsample of 71 galaxies (including 62 LIRGs and nine ULIRGs with ), which are selected based on the following two criteria:
1. A galaxy is point-like with respect to the Herschel SPIRE beam, which is ∼35'' at 809 GHz (. We used the Photodetector Array Camera and Spectrometer (Poglitsch et al. 2010) continuum images of Chu et al. (2017) to select galaxies which are not too extended with respect to the SPIRE beam (Zhao et al. 2016; Lu et al. 2017). A galaxy is considered as a point source if its fractional flux within a Gaussian beam of 35'' is , and we obtained 111 sources.
2. A galaxy that has CO(1–0) data (mostly from Sander et al. 1991; Young et al. 1995; Albrecht et al. 2007; Baan et al. 2008), with a beam size greater than 35'', results in 71 sources. For the sources that have multiple measurements, we adopted their average CO(1–0) fluxes, and used those having good signal-to-noise ratios for our calculations. The CO fluxes are shown in Table 1 and the [C i] fluxes can be found in Lu et al. (2017). All of these 71 sources have [C i] (2–1) detections, whereas only 23 have [C i] (1–0) detections due to the reduced sensitivity near the low-frequency end of the SPIRE Long Wavelength Spectrometer Array. Typical uncertainties of the CO(1–0), [C i] (1–0), and [C i] (2–1) line fluxes are 23% (calculated from different measurements in the literature), 13%, and 8%, respectively, which already include the absolute calibration uncertainty of 6% for SPIRE FTS observations (Swinyard et al. 2014).
Table 1. The CO(1–0) Flux
Galaxya | Referencesb | Galaxy | Referencesb | ||
---|---|---|---|---|---|
(Jy km ) | (Jy km | ||||
Arp 193 * | 182.6 ± 38.8 | B08, P12 | ESO 069-IG006 | 197.1 ± 39.4 | M90 |
Arp 220 * | 445.3 ± 85.3 | Y95, B08, P12 | ESO 148-IG002 | 59.4 ± 11.9 | M90 |
CGCG 049-057 * | 119.1 ± 25.3 | B08, P12 | ESO 244-G012 | 170.1 ± 51.0 | A07 |
ESO 320-G030 * | 225.3 ± 67.6 | B08 | ESO 255-IG007 | 89.1 ± 17.8 | M90 |
IRASF 18293-3413 * | 686.1 ± 205.8 | B08 | ESO 286-IG019 | 71.5 ± 21.5 | G99 |
Mrk 331 * | 371.2 ± 86.2 | Y95, S91 | ESO 467-G027 | 191.7 ± 57.5 | A07 |
NGC 3256 * | 1222.8 ± 366.8 | B08 | ESO 507-G070 | 152.0 ± 45.6 | P12 |
NGC 5135 * | 380.4 ± 61.4 | S91, B08, P12 | IC 4280 | 310.5 ± 93.2 | A07 |
NGC 6240 * | 290.9 ± 44.3 | Y95, S91, B08, P12 | IC 4734 | 367.2 ± 110.2 | G93 |
NGC 7469 * | 298.0 ± 89.4 | P12 | IC 5298 | 72.0 ± 14.4 | S91 |
NGC 7552 * | 652.0 ± 195.6 | B08 | IRASF 01417+1651 | 75.0 ± 22.5 | G99 |
NGC 7771 * | 370.3 ± 84.2 | Y95, S91 | IRASF 10565+2448 | 73.5 ± 11.8 | S91, B08, P12 |
NGC 6286 * | 213.3 ± 49.0 | Y95, S91 | IRASF 16399-0937 | 118.1 ± 35.4 | B08 |
CGCG 052-037 * | 63.0 ± 18.9 | P12 | MCG-03-04-014 | 178.0 ± 53.4 | P12 |
NGC 0828 * | 389.3 ± 60.8 | Y95, S91, B08, P12 | NGC 0023 | 203.0 ± 37.1 | S91, Y95, A07 |
NGC 2369 * | 553.8 ± 166.4 | B08 | NGC 0317 | 180.6 ± 72.4 | Z99 |
NGC 6701 * | 227.2 ± 42.5 | Y95, P12, S91 | NGC 0695 | 190.0 ± 43.8 | Y95,S91 |
UGC 02238 * | 180.0 ± 36.0 | S91 | NGC 1275 | 180.0 ± 72.0 | L89 |
VV 340 * | 426.6 ± 128.0 | G99 | NGC 3110 | 390.0 ± 78.0 | S91 |
NGC 2623 * | 155.8 ± 28.6 | S91, Y95, P12 | NGC 4194 | 129.9 ± 24.5 | S91, A07, Y95 |
MCG+12-02-001 * | 230.0 ± 46.0 | G12 | NGC 5104 | 158.7 ± 33.7 | A07, P12 |
IC 1623 * | 557.0 ± 111.9 | S91, P12 | NGC 5653 | 173.0 ± 32.2 | S91, P12 |
NGC 0232 * | 310.5 ± 93.2 | A95 | NGC 5936 | 180.4 ± 41.6 | Y95,S91 |
IRASF 05189-2524 | 72.8 ± 24.8 | S91, B08, P12 | NGC 5990 | 299.8 ± 78.2 | A07, P12 |
IRASF 17207-0014 | 160.0 ± 48.0 | P12 | NGC 6621 | 159.5 ± 41.1 | S91, Z99 |
Mrk 231 | 103.6 ± 37.4 | Y95, B08, A07, P12 | NGC 7591 | 171.7 ± 68.7 | L98 |
Mrk 273 | 82.8 ± 14.5 | S91, B08, P12 | NGC 7592 | 177.0 ± 35.4 | S91 |
NGC 1614 | 247.7 ± 37.8 | Y95, B08, A07, S91 | NGC 7674 | 120.0 ± 24.0 | S91 |
NGC 7130 | 326.7 ± 70.9 | B08, A07 | NGC 7679 | 252.3 ± 100.9 | W89 |
UGC 05101 | 71.7 ± 15.2 | B08, P12 | UGC 02608 | 413.1 ± 123.9 | A07 |
CGCG 448-020 | 100.7 ± 27.8 | B08, P12 | UGC 02982 | 277.5 ± 70.1 | Y95, A07 |
UGC 03094 | 207.9 ± 62.4 | A07 | IRAS 05442+1732 | 148.5 ± 44.6 | A07 |
UGC 03351 | 411.1 ± 123.3 | B08 | NGC 4418 | 137.85 ± 24.5 | Y95, B08, S91, P12 |
UGC 08739 | 118.0 ± 24.0 | P12 | NGC 6052 | 132.8 ± 39.9 | A07 |
UGC 11041 | 232.2 ± 69.7 | A07 | UGC 02369 | 194.0 ± 58.2 | G99 |
VV 705 | 90.6 ± 23.4 | A07, P12 |
Notes.
aThe symbol "*" represents the 23 galaxies that have [C i] (1–0) detections. bReference to CO(1–0) data: B08—Baan et al. (2008), P12—Papadopoulos et al. (2012), Y95—Young et al. (1995), S91—Sanders et al. (1991), G99—Gao & Solomon (1999), G12—García-Burillo et al. (2012), A95—Andreani et al. (1995), A07—Albrecht et al. (2007), M90—Mirabel et al. (1990), G93—Garay et al. (1993), Z99—Zhu et al. (1999), L98—Lavezzi & Dickey (1998), W89—Wiklind & Henkel (1989).Download table as: ASCIITypeset image
3. Results and Discussion
3.1. Relations between [C i] and CO Emission
Figure 1 shows the correlations between and (panel (a)), and (panel (b)), which are the luminosities of CO(1–0), [C i] (1–0), and [C i] (2–1), respectively. The filled black circles are the 23 galaxies with both [C i] (1–0) and [C i] (2–1) detected. The red open circles represent the other galaxies that have [C i] (2–1) detections (panel (b)) and [C i] (1–0) upper limits (panel (a)). These plots show that CO(1–0) is well correlated with both of the [C i] lines, with the corresponding correlation coefficients of 0.81 and 0.85 in panels (a) and (b), respectively. Unweighted least-squares linear fits, using a geometrical mean functional relationship (Isobe et al. 1990), to these 23 sources with both [C i] detections, give:
and
with vertical scatters of 0.18 and 0.21 dex, respectively. The fitted trends are shown in Figure 1 as dashed black lines. Furthermore, we obtain the following − relation for all of the 71 galaxies from a geometrical mean fitting:
with a scatter of 0.19 dex. The fitted relation is over-plotted in Figure 1(b) with a solid black line. We also obtain the following − correlation (the solid black line in Figure 1(a)) using a Bayesian regression method (Kelly 2007) that also takes into consideration all the upper limits of [C i] (1–0):
Equations (1)–(4) suggest that the CO(1–0) emission likely has a linear correlation with the [C i] emission. For the [C i] (1–0) and [C i] (2–1) lines, the fitted slopes only have marginal differences, and are consistent with each other within 1σ. The nearly linear relations between and indicate that the CO(1–0) and [C i] emissions might arise from similar regions within galaxies.
Considering that the low-J CO emission is a commonly used tracer of the total molecular gas, the [C i] (1–0) and [C i] (2–1) lines can thus be a new avenue by which to determine the total molecular gas, at least in (U)LIRGs. This might be particularly useful for measuring the total molecular gas mass in high-z galaxies, since their CO(1–0) lines are difficult to observe using ground-based facilities, whereas the [C i] lines from distant sources become accessible for ground mm/submm telescopes.
Given such a strong (and almost linear) correlation, we also fitted the − relations with a fixed slope of 1 in order to reduce any systemic uncertainties caused by the sample itself (e.g., sample size, dynamic range, etc.), resulting in:
with a scatter of 0.17 dex, and
with a scatter of 0.19 dex. The fitted relations are also plotted in Figure 1 with dashed–dotted blue lines. If we adopt the CO conversion factor αCO ≡ M(H2)CO/ = (Downes & Solomon 1998), we can obtain the [C i] conversion factors , i.e., and , respectively. Here we only considered the fitted errors of the intercepts. A more practical choice is to take the scatters in the fitted relations as the final uncertainties, e.g., a factor of ∼1.5.
The galaxy with the largest deviation in Figure 1(b) is NGC 6240, in which the gas heating is likely dominated by shocks (Meijerink et al. 2012). As shown in Figure 2(a), NGC 6240 has the highest excitation temperature in the sample. Therefore, the temperature influence on the level populations of C i in NGC 6240 is likely the highest in this sample.
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Standard image High-resolution imageIn Figure 2, we show the luminosity ratios of / and /, as well as the [C i] line ratio (hereafter ) as a function of the IRAS color () for our sample. We check possible correlations in these plots using the cenreg function in the NADA package within the R12 statistical software environment. As labeled in panels (a) and (b) of Figures 2, the likelihood-r coefficients are 0.11 and 0.33, respectively, with the possibilities of having no correlation at 0.36 and , respectively. Therefore, we conclude that there is no correlation between / and (Figure 2(a)), whereas / shows a weak correlation with (Figure 2(b)), with a monotone increasing trend. Figure 2(c) shows that is modestly correlated with .
The observed weak correlations involving the [C i] (2–1) line might be due to the relatively higher energy required for exciting [C i] (2–1), compared to that of [C i] (1–0) and CO(1–0). [C i] (2–1) is sensitive to high gas temperatures, which also correlates to as an indicator of the intensity of the ambient UV field (thus the gas temperature, e.g., Abel et al. 2009). As shown in next subsection, the excitation temperatures of our sample galaxies are typically in the range of 20–30 K, which is very close to the excitation energy of [C i] (1–0) (24 K) but significantly lower than the excitation energy of [C i] (2–1) (63 K). Therefore, the [C i] (2–1) is more sensitive to temperature.
3.2. Total Molecular Gas Mass
The nearly linear luminosity correlations between the [C i] lines and CO(1–0) suggest that either [C i] line can substitute CO(1–0) as a tracer of the total molecular gas mass. In this subsection, we further calculate the total molecular gas mass directly from the observed [C i] line fluxes to derive a carbon conversion factor , and check whether agrees with . Here we also include those seven galaxies that are detected in both [C i] lines but lack CO(1–0) data.
To derive the total molecular gas mass, we adopt the equation given by Papadopoulos et al. (2004) assuming optically thin [C i] emission:
where is the excitation factor that depends on the gas temperature (), density (n) (Papadopoulos et al. 2004), and the radiation field, Aul the Einstein coefficient, with and , the abundance ratio of C i to , and here we adopt (Weiß et al. 2003), z the redshift, and the luminosity distance.
The line ratio can be used to estimate the excitation temperature by adopting the equation (Stutzki et al. 1997). For those 30 galaxies having both [C i] lines detected, their Tex are given in Table 2. The table shows that the excitation temperatures of most sources in our sample are in the range of 20–30 K. To calculate , we used Equations (A21) and (A22) in Papadopoulos et al. (2004) to avoid assuming local thermodynamic equilibrium (LTE). These equations are derived assuming an optically thin case and using the weak radiation field approximation, i.e., K, where is the temperature of the cosmic microwave background. We also simply set Tex as , since it is difficult to have an accurate and might not deviate much from for our sample galaxies. Then, at each , we computed for the four gas densities of 103, 3 × 103, 5 × 103, and according to Papadopoulos & Greve (2004), and adopted the averaged value as the final . However, we find that and , where was calculated in LTE using the same assumed , indicating that our adopted physical parameters are very close to an LTE condition. The derived masses of carbon and are also listed in Table 2.
Table 2. Physical Parameters of the Sample
Galaxy | Tex | a | ||||
---|---|---|---|---|---|---|
(K) | ||||||
Arp 193 | 0.54 ± 0.07 | 28.4 ± 2.9 | 1.5 ± 0.2 | 4.3 ± 0.9 | 8.3 ± 1.1 | 10.5 ± 2.2 |
Arp 220 | 0.35 ± 0.07 | 21.7 ± 2.3 | 2.5 ± 0.5 | 6.6 ± 1.3 | 14.2 ± 2.6 | 17.8 ± 4.0 |
CGCG 049-057 | 0.25 ± 0.05 | 18.2 ± 1.6 | 0.5 ± 0.1 | 1.0 ± 0.2 | 2.9 ± 0.6 | 3.6 ± 0.9 |
ESO 320-G030 | 0.34 ± 0.05 | 21.4 ± 1.8 | 0.3 ± 0.05 | 0.8 ± 0.2 | 1.7 ± 0.3 | 2.1 ± 0.5 |
IRASF 18293-3413 | 0.34 ± 0.03 | 21.3 ± 1.2 | 3.5 ± 0.4 | 9.8 ± 3.0 | 19.5 ± 2.0 | 24.4 ± 5.5 |
Mrk 331 | 0.38 ± 0.04 | 22.6 ± 1.5 | 1.0 ± 0.1 | 4.5 ± 1.1 | 5.4 ± 0.6 | 6.8 ± 1.5 |
NGC 3256 | 0.45 ± 0.04 | 25.3 ± 1.6 | 1.1 ± 0.1 | 3.6 ± 1.1 | 5.9 ± 0.5 | 7.5 ± 1.6 |
NGC 5135 | 0.43 ± 0.04 | 24.4 ± 1.5 | 1.2 ± 0.1 | 2.8 ± 0.4 | 6.8 ± 0.6 | 8.5 ± 1.9 |
NGC 6240 | 0.81 ± 0.09 | 40.7 ± 4.8 | 3.5 ± 0.3 | 7.5 ± 1.2 | 19.6 ± 1.8 | 25.2 ± 4.6 |
NGC 7469 | 0.44 ± 0.05 | 24.9 ± 1.7 | 1.1 ± 0.1 | 2.9 ± 0.9 | 5.9 ± 0.6 | 7.5 ± 1.6 |
NGC 7552 | 0.46 ± 0.05 | 25.5 ± 1.7 | 0.3 ± 0.03 | 0.7 ± 0.2 | 1.7 ± 0.2 | 2.2 ± 0.5 |
NGC 7771 | 0.31 ± 0.03 | 20.1 ± 1.2 | 1.1 ± 0.1 | 2.7 ± 0.6 | 5.9 ± 0.7 | 7.4 ± 1.7 |
NGC 6286 | 0.20 ± 0.03 | 16.5 ± 1.1 | 2.5 ± 0.4 | 3.0 ± 0.7 | 14.0 ± 2.2 | 17.4 ± 4.3 |
CGCG 052-037 | 0.23 ± 0.05 | 17.7 ± 1.5 | 1.8 ± 0.3 | 1.6 ± 0.5 | 9.8 ± 2.0 | 12.3 ± 3.0 |
NGC 0828 | 0.23 ± 0.05 | 17.2 ± 1.7 | 1.7 ± 0.4 | 4.4 ± 0.7 | 9.3 ± 2.1 | 11.6 ± 2.9 |
NGC 2369 | 0.33 ± 0.05 | 20.9 ± 1.7 | 0.8 ± 0.1 | 2.5 ± 0.7 | 4.2 ± 0.7 | 5.3 ± 1.2 |
NGC 6701 | 0.18 ± 0.03 | 15.6 ± 1.1 | 1.6 ± 0.3 | 1.8 ± 0.3 | 9.1 ± 1.6 | 11.3 ± 2.8 |
UGC 02238 | 0.25 ± 0.06 | 18.4 ± 1.9 | 1.4 ± 0.3 | 3.0 ± 0.6 | 8.0 ± 1.8 | 10.0 ± 2.4 |
VV 340 | 0.20 ± 0.03 | 16.5 ± 1.0 | 5.0 ± 0.8 | 19.9 ± 6.0 | 27.9 ± 4.3 | 34.7 ± 8.5 |
NGC 2623 | 0.51 ± 0.09 | 27.5 ± 3.3 | 0.6 ± 0.1 | 2.1 ± 0.4 | 3.4 ± 0.6 | 4.3 ± 0.9 |
MCG+12-02-001 | 0.54 ± 0.09 | 28.4 ± 3.6 | 0.5 ± 0.08 | 2.2 ± 0.4 | 2.8 ± 0.5 | 3.5 ± 0.7 |
IC 1623 | 0.35 ± 0.04 | 21.6 ± 1.4 | 1.6 ± 0.2 | 7.8 ± 1.6 | 9.0 ± 1.0 | 11.3 ± 2.5 |
NGC 0232 | 0.26 ± 0.04 | 18.5 ± 1.5 | 2.1 ± 0.4 | 5.4 ± 1.6 | 11.7 ± 2.0 | 14.6 ± 3.4 |
ESO 264-G036 | 0.23 ± 0.05 | 17.5 ± 1.6 | 2.0 ± 0.4 | 11.1 ± 2.2 | 13.8 ± 3.3 | |
IRAS 12116-5615 | 0.38 ± 0.09 | 22.6 ± 3.1 | 1.5 ± 0.3 | 8.4 ± 2.0 | 10.6 ± 2.3 | |
UGC 12150 | 0.21 ± 0.05 | 16.8 ± 1.7 | 1.6 ± 0.4 | 8.6 ± 2.0 | 10.8 ± 2.6 | |
IRAS 13120-5453 | 0.42 ± 0.06 | 24.1 ± 2.1 | 4.8 ± 0.7 | 26.9 ± 3.7 | 33.9 ± 7.2 | |
ESO 173-G015 | 0.55 ± 0.07 | 28.9 ± 2.6 | 0.5 ± 0.06 | 3.0 ± 0.3 | 3.9 ± 0.8 | |
IC 4687 | 0.34 ± 0.05 | 21.4 ± 1.7 | 0.7 ± 0.1 | 4.0 ± 0.6 | 5.1 ± 1.1 | |
NGC 0034 | 0.25 ± 0.04 | 18.1 ± 1.5 | 0.8 ± 0.1 | 4.2 ± 0.8 | 5.2 ± 1.3 |
Notes. Column 2 is the line ratio of [C i] (2–1) to [C i] (1–0); Column 3 is the excitation temperature derived with the [C i] lines; Column 4 is the carbon mass calculated from [C i] (1–0); Column 5 is the gas mass calculated from the CO(1–0) line; Columns 6 and 7 are the gas mass calculated from the [C i] (1–0) and [C i] (2–1) lines.
aThe carbon mass , is calculated using the [C i] (1–0) line.Download table as: ASCIITypeset image
In the top panels of Figure 3, we plot the resulting as a function of . The red and olive lines in each plot show the two cases with , ) and (, ), respectively. The dashed black lines are unweighted least-squares fits to these data points, which give:
and
with scatters of 0.04 dex and 0.24 dex, respectively. We also fit these models using a fixed slope of 1, and obtained:
and
with scatters of 0.05 and 0.24 dex. The fitted results are plotted in Figure 3 as dashed–dotted blue lines.
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Standard image High-resolution imageAs shown in Figures 3(a) and (b), the derived model of from shows a smaller dispersion than that of from . This is because is much more sensitive to temperature and density than , which is illustrated clearly in Figures 3(c) and (d). Hence, the [C i] (1–0) emission is a better total molecular gas mass tracer compared to the [C i] (2–1) line in the theoretical aspect, if we do not have constrains on the gas temperature and density. However, in practice the variation of the C i abundance (see below) and/or violation of the assumption of optically thin [C i] emission may wash out this effect and result in similar scatter for both lines, as indicated in Figure 1.
We calculated the conversion factors using Equations (10) and (11) and obtained and . These values are about 2 times larger than those (see Section 3.1) derived from the [C i]−CO relations with . Several reasons could cause these discrepancies: (1) the adopted is smaller than its real value; (2) our adopted is too high; and/or (3) the density we adopted to calculate is too low. Indeed, Papadopoulos et al. (2012) and Scoville et al. (2016) found that even in (U)LIRGs can be as high as the Galactic value. Regarding , several studies on local and high-redshift star-forming environments have shown that it is in the range of (Pety et al. 2004; Weiß et al. 2005; Walter et al. 2011). Furthermore, varies by a factor of 1–2 when the density changes from 103 to 104 cm−3 within our temperature range. Therefore, all of these uncertainties give our estimators accuracies of a factor of 2–3.
4. Summary
In this Letter, we present the relations of the [C i] (1–0), [C i] (2–1) lines with the CO(1–0) line for a sample of 71 (U)LIRGs which were observed with the Herschel SPIRE/FTS. We investigate the dependence of /, /, and the [C i] intensity ratio on far-infrared color (). We also calculate the conversion factors of and , based on the assumption that the carbon is optically thin, and on the [C i]−CO relation. Our main results are as follows:
1. There is an obvious correlation between and in (U)LIRGs, i.e., = . also correlates well with , namely, . These results imply that the [C i] (1–0) and [C i] (2–1) lines can be used as total molecular tracers at least for (U)LIRGs.
2. We find that / depends weakly on , while / has no correlation with .
3. Based on the [C i]−CO relations, we derive the conversion factors of and , whereas the conversion factors derived from a more direct method are and by assuming a constant [C i] abundance. The accuracy is about a factor of 2–3.
The authors thank the referee for useful suggestions. This work is partially supported by the Natural Science Foundation of China under grant Nos. 11673057, U1531246, 11420101002, 11673028, and 11311130491. Y.G. acknowledges partial support from the CAS Key Research Program of Frontier Sciences. Z.-Y.Z. acknowledges support from ERC in the form of the Advanced Investigator Programme, 321302, COSMICISM.
Footnotes
- ∗
Based on Herschel observations. Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA.
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