- 1School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, China
- 2Purple Mountain Observatory, Chinese Academy of Sciences (CAS), Nanjing, China
- 3Department of Astronomy, Xiamen University, Xiamen, Fujian, China
- 4College of Physics and Electronic Information, Dezhou University, Dezhou, China
We present a statistical study on dense molecular gas tracers of HCN (4–3), HCO+ (4–3) lines and molecular tracers of [C i], and CO observations for a sample of 26 infrared bright star-forming (SF) galaxies. We investigate the dependence of dense gas star formation efficiency traced by HCN (4–3), HCO+ (4–3) (that is
1 Introduction
In the past two decades, observational and theoretical studies have shown that molecular gas (Kennicutt, 1998; Bigiel et al., 2008; Daddi et al., 2010; Kennicutt and Evans, 2012), especially the dense molecular gas (Solomon et al., 1992; Gao and Solomon, 2004b; Gao and Solomon, 2004a; Wu et al., 2005; Gao et al., 2007; Baan et al., 2008; Chen et al., 2015; Bigiel et al., 2016; Zhang et al., 2014; Tan et al., 2018; Jiménez-Donaire et al., 2019; Jiang et al., 2020; Li et al., 2021) with a volume density of n > 104 cm−3 which can be traced by molecular emission lines with high critical densities as HCN and HCO+, plays a significant role in star formation.
Using a large survey of HCN (1–0) emission from nearby normal spiral galaxies to ultraluminous infrared galaxies (ULIRGs), Gao and Solomon (2004b) found a tight linear correlation between the infrared (IR) and HCN luminosities. Observations on smaller scales, such as resolved galaxy structures (Chen et al., 2015; Chen et al., 2017; Usero et al., 2015; Bigiel et al., 2016; Shimajiri et al., 2017; Jiménez-Donaire et al., 2019), Galactic giant molecular clouds (GMCs) in the Milky Way (Wu et al., 2005; Wu et al., 2010; Lada et al., 2010; Lada et al., 2012; Evans et al., 2014), have shown that this linearity continues to large GMC associations and even individual dense cores in the Milky Way, spanning over eight orders of magnitude. Moreover, the
In addition to HCN (1–0), linear correlations of
Using HCN (4–3), HCO+ (4–3), and CS (7–6) observations in 20 nearby star-forming (SF) galaxies, Zhang et al. (2014) found tight and linear correlations between the luminosity of IR and that of molecular lines for all three dense gas tracers which probe molecular gas with density higher than 106 cm−3. And this linear
Recent observations, especially those involving large-scale mapping with high resolution, show that there is a linear relationship between
Comparing to the dense molecular gas tracers, CO and [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)] lines are widely used as total molecular gas tracers in galaxies near and far (e.g., Weiß et al., 2003; Weiß et al., 2005; Papadopoulos et al., 2004; Papadopoulos and Greve, 2004; Bolatto et al., 2013; Dunne et al., 2022; Papadopoulos et al., 2022). Observations show that both [C i] emissions correlate well with CO emission in giant molecular cloud (Ikeda et al., 1999; Ikeda et al., 2002; Shimajiri et al., 2013), and even perform well in tracing molecular gas in local IR luminous objects (Israel et al., 2015; Krips et al., 2016; Jiao et al., 2017; Jiao et al., 2019), as well as star-forming galaxies at z > 1 (Popping et al., 2017; Valentino et al., 2018; Valentino et al., 2020; Boogaard et al., 2020), high-redshift sub-millimeter galaxies (SMGs, Alaghband-Zadeh et al. 2013; Yang et al. 2017) and protocluster galaxies (Lee et al., 2021). Theoretical models including turbulent (Offner et al., 2014; Glover et al., 2015), metallicity (Glover and Clark, 2016), and cosmic ray (Bisbas et al., 2015; Bisbas et al., 2017; Papadopoulos et al., 2018; Gaches et al., 2019) also predict widespread [C i] emission maps which are similar to CO maps.
Jiao et al. (2017) found that both [C i] luminosities of
At present, the relationship between SFEdense and local physical conditions, such as the stellar surface density and gas pressure is still under debate. [C i]-CO and R[CI] ratios are sensitive to the excitation temperature, star-formation and AGN activities. In this work, we have selected a sample that includes J = 4–3 emissions of HCN and/or HCO+, as well as [C i] and CO (1–0) observations. Our aim is to investigate the possible correlation between the SFEdense with dense gas traced by HCN (4–3) and/or HCO+ (4–3) and the [C i]-CO ratios. We also aim to investigate the reliability of using
2 Sample and data reduction method
Systematic survey of HCN (4–3), HCO+ (4–3), and both [C i] emissions are rare. The sample discussed here consists of sources with available observations of HCN (4–3) and/or HCO+ (4–3), and [C i] (1–0) and/or [C i] (2–1), which are currently as comprehensive as possible based on literature. We finally obtained three subsamples named: Tan18, Zhang14, and Imanishi18, respectively. The subsample of Tan18 consists of five spatially resolved nearby star-forming galaxies that were selected by cross-matching the MALATANG sample in Tan et al. (2018) and [C i] mapping from Jiao et al. (2019). Zhang et al. (2014) reported HCN (4–3) and HCO+ (4–3) observations in 20 nearby star-forming galaxies with the Atacama Pathfinder EXperiment (APEX) 12 m telescope. By cross matching the galaxies in Zhang et al. (2014) with [C i] data observed with Herschel in Lu et al. (2017) and Fernández-Ontiveros et al. (2016), we finally obtain fifteen galaxies defined as subsample of Zhang14. We check the galaxies in Imanishi et al. (2018), and find five of them have [C i] observations in literature (e.g., Fernández-Ontiveros et al., 2016; Kamenetzky et al., 2016; Jiao et al., 2017). We further add galaxy NGC 7469 which has ALMA observations of HCN (4–3), HCO+ (4–3), and [C i] from Izumi et al. (2015), Izumi et al. (2020), and define these six galaxies as subsample of Imanishi18. The Tan18 and Zhang14 samples consist of IR bright galaxies with Sν(100 μm) > 100 Jy, which was selected from Infrared Astronomical Satellite (IRAS) Revised Bright Galaxy Sample (Sanders et al., 2003). Meanwhile, the Imanishi18 galaxies are classified as ULIRGs with LIR > 1012 L⊙, except for IRAS 04315-0840 which is categorized as a LIRG with LIR ∼ 5 × 1011 L⊙. In brief, the three subsamples encompasses galaxies with LIR ranging from 1010 L⊙ to 1012.5 L⊙, including nearby normal star-forming galaxies, starbursts, and AGN galaxies. The basic information of each galaxy in our sample is shown in Table 1.
2.1 Data reduction for Tan18 subsample
The HCN (4–3) and HCO+ (4–3) data in subsample Tan18 are from Tan et al. (2018) which were observed by JCMT with FWHM
The luminosities of
In MALATANG-I observations, M 83 was detected in HCN (4–3) and HCO+ (4–3) emissions at only the central position (Tan et al., 2018). However, more detections are found for M 83 by combining the MALATANG-I and MALATANG-II data. In this work, we use the combined data for M 83. The HCN (4–3) and HCO+ (4–3) detections of M 83 are also shown in Supplementary Figure S1.
2.2 Data reduction for Zhang14 subsample
The HCN (4–3) and HCO+ (4–3) emissions in the subsample of Zhang14 from Zhang et al. (2014) are mostly observed by the APEX in the central region with FWHM
The majority of [C i] lines used in this study are taken from Lu et al. (2017), and the corresponding galaxy is point-like with respect to the Herschel beam at [C i] (2–1) rest frequency, except for NGC 4945 and IC 342 which are obtained from Fernández-Ontiveros et al. (2016). The CO (1–0) are adopted from Jiao et al. (2017) with beam size greater than that of [C i] (2–1). Specifically, the [C i] (1–0) of Galaxy NGC 4418 was flagged as quality Q = 4 (3 ≤ SNR
2.3 Data reduction for Imanishi18 subsample
The HCN (4–3) and HCO+ (4–3) emissions of subsample Imanishi18 are taken from Table 15 in Imanishi et al. (2018) that were observed with ALMA, and the corresponding LIR values are also adopted from Imanishi et al. (2018). In this sample of galaxies, the ALMA measurements mostly cover the emissions of HCN (4–3) and HCO+ (4–3). This is because ULIRGs are typically dominated by nuclear compact energy sources with ≲500 pc (Soifer et al., 2000), and the dense gas tracers mostly come from compact nuclear regions. The luminosities of HCN (4–3) and HCO+ (4–3) were measured using Gaussian fits of the spectra within the beam size. However, for the spatially extended galaxy IRAS 04315–1808, the luminosity was estimated from Gaussian fits (3″× 3″) of the spatially integrated spectra. The CO (1–0) and [C i] intensities are collected from literature as shown in Table 3.
Particularly, with unprecedented high resolution ALMA observation, NGC 7469 is regarded as an AGN position of A, and three bright knots in the starburst ring as B, C, and D (see the details in Izumi et al., 2015). In Table 4, we present the
The three subsample datasets are obtained from diverse telescope observations with distinct beam sizes, particularly for HCN (4–3) and HCO+ (4–3) observations. In Table 1, we list the FWHM of HCN (4–3) for each galaxy (the FWHMs of HCN (4–3) and HCO+ (4–3) are similar). The [C i] observations for all galaxies were obtained with Herschel, except for NGC 7469 which was observed with ALMA. Notablely, the line ratios of IR-HCN/HCO+ and
Columns 2 to 7 are adopted from Zhang et al. (2014). RSD is the ratio of flux densities within the beam size of HCN (4–3) to that measured in the whole galaxy, and Caper is the aperture correction factor for the beam size (see the details in Zhang et al., 2014). [C i] fluxes in columns 8 and 9 are adopted from Lu et al. (2017), except for NGC 4945 and IC 342 which obtained from Fernández-Ontiveros et al. (2016). Column 10 is the CO (1–0) fluxes adopted from Jiao et al. (2017). Columns 2 and 3 are the redshift and infrared luminosities adopted from Imanishi et al. (2018), column 4 and 5 are the HCN (4–3) and HCO+ (4–3) luminosities which are adopted from Table 15 in Imanishi et al. (2018). Columns 6 and 7 are CO (1–0) intensities and references: So97—Solomon et al. (1997), Mi90—Mirabel et al. (1990), Sa91—Sanders et al. (1991), Ji17—Jiao et al. (2017), DC11—Dasyra and Combes (2011). Columns 8, 9, and 10 are [C i] intensities and references: Ka16—Kamenetzky et al. (2016), Lu17—Lu et al. (2017), Fa16—Fernández-Ontiveros et al. (2016). a The CO (1–0) data is observed with SEST, and is converted from K km s−1 to Jy km s−1 with conversion factor Sv/T (Jy/K) = 27.b The CO (1–0) data is observed with 12m NRAO, and is converted from K km s−1 to Jy km s−1 with conversion factor Sv/T (Jy/K) = 35.The A, B, C, and D of NGC 7469 stand for the AGN position and three bright knots in the starburst ring (see details in Izumi et al., 2015). The
2.4 WISE data
We also use the Wide-field Infrared Survey Explorer (WISE) 3.4 μm (W1) and 4.6 μm (W2) emissions and uncertainties for each galaxy from the NASA/IPAC Infrared Science Archive. For the samples of Tan18 and Zhang14, we firstly estimate the background for each galaxy using SExtractor (Source-Extractor; Bertin and Arnouts, 1996) program with the corresponding uncertainty maps as inputs, and then subtract its estimated background. The background-subtracted image of each galaxy is smoothed to its corresponding HCN (4–3) resolution (JCMT or APEX) with convolution kernels generated by comparing the WISE profiles with JCMT/APEX Gaussian profile of FWHM 14″/18″(Aniano et al., 2011). For galaxies in sample of Imanish18 with high resolutions (observed with ALMA with FWHM mostly smaller than 1″at HCN (4–3) and HCO+ (4–3)), we directly use its profile-fit photometry magnitude from “WISE All-Sky Source Catalog” at IPAC.
The WISE images are originally in units of digital numbers (DN), and we convert them to luminosity units of L⊙ with method shown in Supplementary Material. Similar to Tan et al. (2018), in order to convert the units from L⊙ into L⊙ beam−1, we scale the image by a factor of 1.133 × (FWHM/pixel size)2, where FWHM = 14″for JCMT and 18″for APEX, pixel size is the length of a pixel in arcseconds. As shown in Supplementary Material, the WISE uncertainties include the zero-point magnitude uncertainty, and the instrumental uncertainty measured with WISE uncertainty maps.
3 Results and discussion
3.1 Correlations between SFEdense with [C i]-CO luminosity ratios
The MALATANG HCN (4–3) and HCO+ (4–3) mappings do not satisfy Nyquist sampling theorem with grid spacing of 10″for the JCMT FWHM of
Figure 1 shows the correlations between
FIGURE 1. Comparison of the luminosity ratios of
We further use Monte Carlo method to estimate the Spearman’s rank correlation with those limits. For the upper limits (as Uupper), we generate 10,000 uniformly distributed random numbers ranging from 0 to Uupper. And for the lower limits (as Ulower), the 10,000 random numbers are uniformly distributed over Ulower to 103 Ulower. We then calculate the correlation coefficient 10,000 times using the detection points and the generated random numbers for the limits, and define the average r and p as the final results. As shown in Table 5, the results obtained with and without limits are similar. Moreover,
We further plot the
FIGURE 2. Comparison of the luminosity ratios of
3.2 The
In Figure 3, we present the correlation between
FIGURE 3. Comparison of the line luminosity ratios of
The
FIGURE 4. (A) boxes show the medians (colored lines in the boxes), the interquartile ranges (colored boxes), and the full range up to 1.5× the interquartile range (IQR; colored horizontal lines) of
Using the WISE surveys in COSMOS field, Stern et al. (2012) present a simple mid-infrared color criterion of W1 − W2 ≥ 0.8 for W2
3.3 Discussion
3.3.1 The relationship between SFEdense and [C i]-CO ratios
The line ratio R[CI] can be used to determine directly the excitation temperature by adopting the equation Tex = 38.8 K/ln[2.11/R[CI]] in optically thin limit (Stutzki et al., 1997). The excitation temperatures are typically in the range of 20–30 K for our sample, which is close to the excitation energy of [C i] (1–0) (24 K) but significantly lower than that of [C i] (2–1) (63 K). Tan et al. (2018) present the ratios of
According to Jiao et al. (2019), the
However, we note that the scatters of
The higher correlations observed in resolved samples indicate that
3.3.2 The variation of ratio
Izumi et al. (2013), Izumi et al. (2015) observed the central kiloparsec region of AGN galaxies of NGC 1097 and NGC 7469 with ALMA at ∼ 100 and 150 pc resolutions. Both studies found higher
The
The ratio of
Using the IRAM 30 m observations of a sample of 58 local luminous and ultraluminous infrared galaxies from the Great Observatories All-sky LIRG Survey, Privon et al. (2015) found that the ratio of
4 Summary
In this paper, we select a sample of 26 galaxies which both have dense gas observations of HCN (4–3) and HCO+ (4–3) from Tan et al. (2018); Zhang et al. (2014); Imanishi et al. (2018), and molecular tracers of [C i] and CO observations from Lu et al. (2017); Fernández-Ontiveros et al. (2016); Jiao et al. (2017). We explore the correlations between
We plot
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Author contributions
QJ and YuG designed the study, and QJ was the main author of the article. QT and YaG made significant contributions and edits to the text. All authors contributed to the article and approved the submitted version.
Funding
This work is supported by National Natural Science Foundation of China (NSFC, Nos. 12003070 and 12033004). Research Funding of Wuhan Polytechnic University NO. 2022RZ035. Scientific Research Fund of Dezhou University, 3012304024.
Acknowledgments
This research has made use of the NASA/IPAC Infrared Science Archive, which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, and NEOWISE, which is a project of the Jet Propulsion Laboratory/California Institute of Technology. WISE and NEOWISE are funded by the National Aeronautics and Space Administration.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fspas.2023.1246978/full#supplementary-material
Footnotes
1https://irsa.ipac.caltech.edu/data/SPITZER/docs/mips/mipsinstrumenthandbook/
2https://www.cosmos.esa.int/web/herschel/pacs-overview
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Keywords: dense molecular gas, star formation-galaxies, sample, HCN (4−3), HCO + (4−3), AGN -active galactic nucleus
Citation: Jiao Q, Gao Y, Tan Q and Gao Y (2023) Dense gas star formation efficiency and the
Received: 25 June 2023; Accepted: 13 September 2023;
Published: 03 October 2023.
Edited by:
Milan S. Dimitrijevic, Astronomical Observatory, SerbiaReviewed by:
Toshiki Saito, National Astronomical Observatory of Japan (NAOJ), JapanXindi Tang, Chinese Academy of Sciences (CAS), China
Copyright © 2023 Jiao, Gao, Tan and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Qian Jiao, amlhb3FpYW5Ad2hwdS5lZHUuY24=