CO Multi-line Imaging of Nearby Galaxies (COMING). VII. Fourier decomposition of molecular gas velocity fields and bar pattern speed
Dragan Salak, Yuto Noma, Kazuo Sorai, Yusuke Miyamoto, Nario Kuno,, Alex R. Pettitt, Hiroyuki Kaneko, Takahiro Tanaka, Atsushi Yasuda, Shoichiro, Kita, Yoshiyuki Yajima, Shugo Shibata, Naomasa Nakai, Masumichi Seta,, Kazuyuki Muraoka, Mayu Kuroda, Hiroyuki Nakanishi

TL;DR
This study uses Fourier decomposition of CO velocity fields in 20 nearby spiral galaxies to analyze molecular gas kinematics, estimate bar pattern speeds, and explore the relationship between bar dynamics and galaxy properties.
Contribution
It introduces a new method based on radial velocity reversal to estimate bar pattern speeds and corotation radii in barred galaxies.
Findings
Barred galaxies show higher noncircular velocities than non-barred galaxies.
The ratio of corotation to bar radius varies, indicating both fast and slow bars.
Bars in massive disks tend to be larger and rotate more slowly.
Abstract
The CO velocity fields of a sample of 20 nearby spiral galaxies, selected from the CO Multi-line Imaging of Nearby Galaxies (COMING) legacy project of Nobeyama Radio Observatory, have been analyzed by Fourier decomposition to determine their basic kinematic properties, such as circular and noncircular velocities. On average, the investigated barred (SAB and SB) galaxies exhibit a ratio of noncircular to circular velocities of molecular gas larger by a factor of 1.5-2 than non-barred (SA) spiral galaxies at radii within the bar semimajor axis at 1 kpc resolution, with a maximum at a radius of . Residual velocity field images, created by subtracting model velocity fields from the data, reveal that this trend is caused by kpc-scale streaming motions of molecular gas in the bar region. Applying a new method based on radialβ¦
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\KeyWords
galaxies: evolution β galaxies: ISM β galaxies: kinematics and dynamics β galaxies: spiral β galaxies: structure
CO Multi-line Imaging of Nearby Galaxies (COMING). VII. Fourier decomposition of molecular gas velocity fields and bar pattern speed
Dragan Salak11affiliation: Department of Physics, School of Science and Technology, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyogo 669-1337, Japan
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Yuto Noma11affiliationmark:
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Kazuo Sorai22affiliation: Department of Physics, Faculty of Science, Hokkaido University, Kita 10 Nishi 8, Kita-ku, Sapporo, Hokkaido 060-0810, Japan 33affiliation: Graduate School of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8571, Japan 44affiliation: Tomonaga Center for the History of the Universe, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8571, Japan 55affiliation: Department of Cosmosciences, Graduate School of Science, Hokkaido University, Kita 10 Nishi 8, Kita-ku, Sapporo, Hokkaido 060-0810, Japan
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Yusuke Miyamoto66affiliation: National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
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Nario Kuno33affiliationmark: 44affiliationmark:
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Alex R. Pettitt22affiliationmark:
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Hiroyuki Kaneko77affiliation: Nobeyama Radio Observatory, Minamimaki, Minamisaku, Nagano 384-1305, Japan
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Takahiro Tanaka33affiliationmark:
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Atsushi Yasuda33affiliationmark:
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Shoichiro Kita33affiliationmark:
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Yoshiyuki Yajima55affiliationmark:
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Shugo Shibata55affiliationmark:
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Naomasa Nakai11affiliationmark: 33affiliationmark: 44affiliationmark:
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Masumichi Seta11affiliationmark:
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Kazuyuki Muraoka88affiliation: Department of Physical Science, Osaka Prefecture University, Gakuen 1-1, Sakai, Osaka 599-8531, Japan
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Mayu Kuroda88affiliationmark:
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Hiroyuki Nakanishi99affiliation: Graduate School of Science and Engineering, Kagoshima University, 1-21-35 Korimoto, Kagoshima, Kagoshima 890-0065, Japan
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Tsutomu T. Takeuchi1010affiliation: Division of Particle and Astrophysical Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
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Moe Yoda1010affiliationmark:
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Kana Morokuma-Matsui1111affiliation: Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, 3-1-1 Yoshinodai, Chuo-ku, Sagamihara, Kanagawa 252-5210, Japan
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Yoshimasa Watanabe33affiliationmark:
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Naoko Matsumoto1212affiliation: The Research Institute for Time Studies, Yamaguchi University, Yoshida 1677-1, Yamaguchi, Yamaguchi 753-8511, Japan
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Nagisa Oi1313affiliation: Faculty of Science Division II, Liberal Arts, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku-ku, Tokyo 162-8601, Japan
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Hsi-An Pan1414affiliation: Academia Sinica, Institute of Astronomy and Astrophysics, No. 1, Sec. 4, Roosevelt Rd, Taipei 10617, Taiwan
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Ayumi Kajikawa1515affiliation: Department of Physics, School of Science, Hokkaido University, Kita 10 Nishi 8, Kita-ku, Sapporo, Hokkaido 060-0810, Japan
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Yu Yashima1515affiliationmark:
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Ryusei Komatsuzaki33affiliationmark:
Abstract
The 12CO () velocity fields of a sample of 20 nearby spiral galaxies, selected from the CO Multi-line Imaging of Nearby Galaxies (COMING) legacy project of Nobeyama Radio Observatory, have been analyzed by Fourier decomposition to determine their basic kinematic properties, such as circular and noncircular velocities. On average, the investigated barred (SAB and SB) galaxies exhibit a ratio of noncircular to circular velocities of molecular gas larger by a factor of 1.5-2 than non-barred (SA) spiral galaxies at radii within the bar semimajor axis at 1 kpc resolution, with a maximum at a radius of . Residual velocity field images, created by subtracting model velocity fields from the data, reveal that this trend is caused by kpc-scale streaming motions of molecular gas in the bar region. Applying a new method based on radial velocity reversal, we estimated the corotation radius and bar pattern speed in seven SAB and SB systems. The ratio of the corotation to bar radius is found to be in a range of , suggesting that intermediate (SBb-SBc), luminous barred spiral galaxies host fast and slow rotator bars. Tentative negative correlations are found for vs. and vs. total stellar mass , indicating that bars in massive disks are larger and rotate slower, possibly a consequence of angular momentum transfer. The kinematic properties of SAB and SB galaxies, derived from Fourier decomposition, are compared with recent numerical simulations that incorporate various rotation curve models and galaxy interactions.
1 Introduction
The distribution of cold interstellar gas (mainly molecular gas) is closely related to galaxy evolution via its role in star formation (e.g., [Schruba et al. (2011)]). In a typical disk-shaped galaxy, molecular gas orbits the dynamical center within a thin disk where most of star formation activity takes place. If the distribution of mass in the disk is non-axisymmetric, in systems such as barred and non-barred spiral galaxies, there are gravitational torques that induce noncircular motions, observable through tracers such as CO and HI.
Molecular gas is an excellent probe of galactic dynamics owing to its low velocity dispersion and highly dissipative nature (Simkin et al., 1980; Schwarz, 1981, 1984; Athanassoula, 1992). For instance, many barred galaxies exhibit large noncircular motions of molecular gas indicative of gas inflows (e.g., Sakamoto et al. (2000); Sorai et al. (2000); Salak et al. (2016)). The phenomenon is understood to be a consequence of shocks in the bar (which propagates as a density wave through the disk), typically offset from the potential minimum, where the frequency of cloud-cloud interactions may be higher than in the rest of the disk (e.g., Fujimoto et al. (2014)). In the bar region, gas clouds lose angular momentum and gradually (on Gyr timescale) inflow toward the galactic center (Athanassoula, 1992). Consequently, the accumulation of gas in the central region can fuel bursts of star formation and the growth of a pseudobulge linked to secular evolution (e.g., Combes & Elmegreen (1993); Kormendy & Kennicutt (2004); Sellwood (2014); Salak et al. (2017)). To understand the secular evolution of galaxies, it is essential to examine the large-scale kinematics of molecular gas in spiral galaxies and systematically quantify the differences in gas motions between barred and non-barred spiral systems.
On the other hand, in order to investigate the evolution of bars, as prominent non-axisymmetric structures, and their interaction with other components of the host galaxies, such as the dark matter halo, stellar disk, and cold gas, it is important to measure their basic characteristics. Two perhaps most interesting properties of bars from the aspect of galaxy evolution are (1) the bar length and (2) the pattern speed , defined as the angular speed of the bar figure as an elongated βrigid bodyβ rotating within the galactic disk.111The non-axisymmetric potential of a bar has the ability to trap stellar orbits of different radii into a common precession rate (pattern speed), that otherwise tend to precess at different rates if the potential were axisymmetric (Lynden-Bell & Kalnajs, 1972; Lynden-Bell, 1979). From a theoretical point of view, bars are expected to grow and slow down their rotation over time (Kormendy, 2013; Sellwood, 2014).
The bar length has been studied observationally, e.g., by isophotal analysis (elliptical fitting and mode analysis) of surface brightness structures of near-infrared images that trace the distribution of old stars - the main constituents of bars (e.g., Elmegreen & Elmegreen (1985); Herrera-Endoqui et al. (2015); Salo et al. (2015); DΓaz-GarcΓa et al. (2016)). On the other hand, the bar pattern speed, as well as the pattern speed of spiral arms (both often regarded as density waves), have been estimated usually from the velocity fields of stars and interstellar gas. Some examples of the often applied methods include the Tremaine-Weinberg method (Tremaine & Weinberg, 1984a; Merrifield & Kuijken, 1995; Aguerri et al., 2015; Guo et al., 2019), which utilizes a tracer that obeys the continuity equation (e.g., old stars), potential-density phase-shift method (Zhang & Buta, 2007), various measurements using molecular gas data (e.g., Kuno et al. (2000); Koda et al. (2002); Hirota et al. (2014)), the Font-Beckman method (Font et al., 2011, 2017), and others. While recent studies have yielded measurements of in an increasing number of nearby galaxies, the importance of measuring this quantity and investigating its relation with fundamental galactic parameters, such as the total stellar mass, have motivated us to make new estimates of using 12CO () data as a well-established tracer of molecular gas. In this paper, we report two major results of an analysis of molecular gas velocity fields of 20 nearby spiral galaxies, including a subsample of 7 barred galaxies: (1) new measurements of basic galactic parameters, such as the position angle, inclination, and systemic velocity, and (2) kinematic parameters in terms of circular and noncircular velocity components and bar pattern speed.
The structure of the paper is as follows. In section 2, we describe the analysis and the sample data. The results, including the derived basic galactic parameters, circular and noncircular velocities, are presented in section 3, followed by a discussion on the bar pattern speed from the aspect of observations and numerical simulations (section 4) and summary (section 5).
2 Data analysis
We begin by describing the basic principles behind the mode analysis (Fourier decomposition) of the CO (1-0) velocity fields, that was applied in this work, and the tools that were used to perform the computation.
2.1 Velocity field as Fourier series
The velocity field of a rotating disk galaxy (barred or non-barred) can be represented as a set of elliptical rings centered at the position of the dynamical center.222A ring is assumed to be circular but inclined with respect to the observer so that it appears as an ellipse. If is the semimajor axis of an ellipse and is the azimuthal angle in polar coordinates measured from the semimajor axis, then the velocity field sampled on any such elliptical ring is a periodic function of and can be expressed as a Fourier series
[TABLE]
and the coordinates of the ellipse are given by and , where is the ratio of the minor to major axis, also called flattening (see figure 1). Note that, in the case that is the only mode, equation 1 becomes . If we define , , and , the above equation can be written as , where is the systemic velocity, is the inclination angle of the plane of the galactic disk, is the radial component, and is the circular component of the velocity vector in the disk, as defined in figure 1(b). This equation describes the planar motion of gas in a thin disk, and the coefficients and , respectively, correspond to the axisymmetric radial and circular velocity components in the disk observed at an inclination angle . The sign of can be used as an indicator of axisymmetric inward or outward motions if the orientation of the disk (near/far side) is known. In a galaxy with purely circular rotation, the velocity field is given by and is equivalent to the rotation curve. If noncircular motions are present, their axisymmetric component is described by , while nonaxisymmetric components are included in higher order coefficients (Schoenmakers et al., 1997). The higher coefficients, in general, provide indications of local irregular motions in the disk, gravitational perturbations of order higher than 2 (Meidt et al., 2008), and may arise from errors in the galactic center position and geometric parameters (KrajnoviΔ et al., 2006). For rotating disk galaxies, it is reasonable to expect that and are the dominant terms at most radii (section 3). Note that all coefficients are functions of semimajor axis only.
In the present analysis, by βFourier decompositionβ we refer to a method of calculating the coefficients of equation 1 up to from a given velocity field data set.
2.2 The data
The data used in the analysis consist of 12CO (1-0) images acquired from the CO Multi-line Imaging of Nearby Galaxies (COMING), which is a legacy project of Nobeyama Radio Observatory (Sorai et al., 2019). On-the-fly mapping observations of 147 nearby galaxies in the 12CO, 13CO, and C18O (1-0) lines were carried out using the FOur beam REceiver System on the 45-m Telescope [FOREST; Minamidani et al. (2016)]. The acquired 12CO (1-0) data have an effective spatial resolution of , image grid spacing of , and a velocity resolution of . Although the distances to the galaxies in the sample range from to kpc (table 2.3), the average distance yields a physical resolution of ; thus, the results of the present study hold on a kiloparsec scale. A detailed description of the observations and data reduction, as well as a gallery of CO (1-0) images and star formation properties of all sample galaxies, are given in the forthcoming papers by Sorai et al. (2019) (COMING overview), Muraoka et al. (2019), and Yajima et al. (2019). Throughout this paper, CO refers to the 12CO isotopologue.
In the data analysis, we used moment 1 images (two-dimensional data), defined as intensity-weighted velocity , where is the main beam brightness temperature and is the velocity with respect to the local standard of rest (LSR) in radio definition. The data cubes were clipped at in prior to creating moment 1 images, where the sensitivity was typically better than .
The criteria for selecting galaxies for the present analysis were the following: (1) 12CO (1-0) emission detected at in within a field of radius of at least ( effective beam size), (2) within a radius larger than the projected bar radius (in barred galaxies), and (3) not edge-on (inclination ). These conditions allowed us to perform Fourier decomposition of velocity field images, as described in the next section, and derive basic galactic properties, such as position angle, inclination, systemic velocity, and circular/noncircular velocities. The sample of 20 galaxies, listed in table 2.3, includes all major types of spiral galaxies classified by the presence or absence of a bar according to de Vaucouleurs et al. (1991): SA (non-barred), SAB (weakly barred), and SB (strongly barred) systems.
2.3 Fourier decomposition of CO (1-0) velocity fields
To calculate the coefficients in equation 1 from CO (1-0) moment 1 images, we used Kinemetry (KrajnoviΔ et al., 2006), a program that fits elliptical rings on an observed velocity field by minimizing the noncircular velocity component expressed as (up to ). This is done by searching for a minimum value of (residuals from circular rotation models) on a grid of flattenings and kinematic position angles . The flattening is related to the galactic inclination (assuming a thin disk) as . For each ring, a pair () with the minimum yields the parameters of the best-fit ellipse, whose coordinates are . The data points in incomplete rings are retrieved by interpolation and the calculation is performed until a ring which is filled with less than 75% of the data points.
The program was first set to calculate the initial values of and for each ring. The galactic center coordinates (table 2.3) were fixed, and the semimajor axes of the rings were determined by the programβs default sampling function , where is the ring number, and is the grid spacing on images. The initial values of and were derived for each radius (figure 2). The mean values of the two parameters across the disk of each galaxy were calculated as and , where is a weighting function equal to the number of ellipses used to determine the best fit within each ring , and is the total number of rings for which fitting was successful. Applying this function ensures that rings with a larger number of data points, which are found in the outer parts of images, are given more weight in calculating the average values. Here, we assume that the CO gas disks are not significantly warped within the investigated regions. The innermost ring and the outermost ring were excluded from calculations because the number of pixels and the signal-to-noise ratio were minimal, respectively. In addition, we found that the initial values of were notably different in the inner region compared to the rest of the disk in NGC 628 (figure 2), and within in NGC 3893. For these two galaxies, only rings beyond these radii were used in calculating and . For barred galaxies, the weighted averages were calculated using only the values of the rings outside the bar region, defined by the bar length in table 3.3. This is justified by the expectation that noncircular motions are dominant in the bar region, and may induce an βSβ-shaped disturbance of the velocity field that resembles a warp of the disk. Therefore, taking the average over all rings in the disk would yield an average kinematic position angle of that of the inner and outer regions of the disk. We assume that the outer region is less affected by the tangential forces induced by the bar, so that the kinematics of molecular gas there is well represented by circular rotation. As shown in section 3.1, this assumption is reasonable given the excellent agreement between the position angles derived by Kinemetry and those by photometric methods for both barred and non-barred spirals. The calculated weighted average values (table 2.3) were fixed for all radii in the next round of calculations that yielded the final results. The output parameters are the Fourier coefficients and (), kinematic position angle , flattening , and systemic velocity . The systemic velocity was calculated as the mean of the values determined in rings that were used to calculate and .
3 Results
In this section, we describe the main results of the analysis using Kinemetry, presented for each galaxy in terms of geometric and kinematic parameters, circular and radial velocity components, and the fraction of noncircular motions as a function of galactocentric radius.
3.1 Basic geometric and kinematic parameters
As described in the previous section, the program fitted elliptical rings on sampled moment 1 images. The solutions yielded several basic kinematic parameters, such as (1) the weighted-average of the kinematic position angle of the galactic disk (ellipse), measured within anti-clockwise from west, (2) the flattening , and (3) the systemic velocity , which is the zeroth-term Fourier coefficient . The obtained parameters are listed in table 2.3; a comparison with the values of position angle (PA) and , compiled from the literature in Sorai et al. (2019) and derived mainly from photometry, is shown in figure 3. In the case of NGC 2967, the photometric value of (Salo et al., 2015) was largely offset from our value of determined from kinematics and so was excluded from the plots in figure 3. The photometric PA was obtained from the analysis of the Survey of Stellar Structure in Galaxies () Spitzer images. A comparison of the photometric PA as a function of radius in Salo et al. (2015) with in table 2.3 suggests that the two values are consistent in the inner of this galaxy, whereas the photometric PA exhibits a wide scatter at larger radii. The linear relation between photometric and kinematic PAs for the galaxies in figure 3(a) is very tight, which is important given that the sample includes both barred and non-barred spirals; the consistency for the barred systems supports our assumption made in section 2.3 that the kinematic PA in such systems is more reliably determined if only rings outside the bar region are considered.
Note that the relation between the kinematic and photometric estimates exhibits a much larger scatter in the case of , as evident from figure 3(b). The cause of this is not clear, but could be an effect of disk warps at large radii that affect photometric measurements. Many galactic disks are warped in the outermost regions; determined in the outer disk is thus not necessarily the same as the one in the inner disk, where we determined the kinematic from CO velocity fields. For example, our estimate of for NGC 628 gives , compared to some previous works that suggest an inclination as small as in the inner disk (Kamphuis & Briggs, 1992). On the other hand, our measurement for this galaxy is in good agreement with derived from optical data in HyperLeda333http://leda.univ-lyon1.fr/ (Paturel et al., 2003). Compared to the mean inclinations derived from The HI Nearby Galaxy Survey (THINGS) data in de Blok et al. (2008) and Trachternach et al. (2008), the differences between HI and our CO measurements for four galaxies that were analyzed in both projects are: in NGC 5055, in NGC 3627, in NGC 628 (within uncertainties), and in NGC 2903. The inclination of NGC 2903, derived from HI as a function of radius in these works, is closer to our weighted average () in the inner , but decreases at large radii, yielding an average of . Given the differences in the angular resolution and properties of HI and CO gases, the results in the two studies are in reasonably good agreement.
3.2 Circular and radial velocities
The deprojected azimuthal velocity, defined as , where is the amplitude of the first-order cosine term and is the inclination of the galactic disk, was calculated for a number of radii determined by the size of the region in the moment 1 map where CO (1-0) emission was detected at . The derived was used to obtain the angular velocity, , and these two quantities describe the circular motion of molecular gas in a galactic disk.
The program also calculated the deprojected radial velocity component, , where is the amplitude of the first-order sine term. This velocity corresponds to axisymmetric inward or outward motion corrected for galactic inclination. The term is expected to be non-zero, for example, in a system where noncircular motions of gas arise from the potential of a bar. The ratio of overall noncircular to circular motions in a galactic disk is quantified by
[TABLE]
where is a measure of noncircular motions as a function of radius (section 2.3).
Examples of the results of calculations of , , , and for two representative galaxies of SA (NGC 5055) and SB (NGC 2903) types are shown in figure 4, while the rest of the sample is plotted in Appendix. Figure 4 shows several important features of these systems:
(1) The kinematics is clearly dominated by circular rotation at all radii (), especially outside the bar region, and the derived of both galaxies are consistent with the shapes and amplitudes of the rotation curves derived from HI data (de Blok et al., 2008).
(2) The fraction of noncircular motions is somewhat larger in the inner region of the barred galaxy; within , we find in NGC 5055 and in NGC 2903. A comparison with suggests that is dominated by the term, i.e., axisymmetric radial flow. As shown below, this behavior is a general property of molecular gas motion in all investigated barred galaxies. While noncircular motions are not entirely absent in NGC 5055, they are a factor of 1.5-2 smaller than in NGC 2903; noncircular motions in this SA galaxy are possibly caused by gravitational torques due to the spiral arms.
(3) Panel (c) shows a nearly linear rise of in NGC 2903 up to the radius , resembling the rotation of a rigid body. This is a consequence of the fact that the bar position angle of this galaxy is nearly the same as the position angle of the host galaxy (the difference is ; see table 3.3). As discussed in section 4.1.3, the observed circular velocity in this case traces the rotation of the bar itself and reveals its angular velocity, which appears to be nearly constant within .
Having calculated the circular velocity, position angle, and inclination of the disk, it is possible to generate rotation models from the term. After subtracting the models from the moment 1 images, we can obtain residuals that reveal the location of noncircular motions in the disk on kpc scale. Some examples of such investigation are shown in figure 5. The residual velocity images of two SB galaxies NGC 2903 and NGC 7479 in panels (c) and (f), respectively exhibit amplitudes of the order in the bar region NW and SE of the galactic center (indicated by arrows). Assuming that the spiral arms are trailing in both galaxies, as appears to be the case in the majority of barred spiral galaxies (e.g., Athanassoula et al. (2009)), it is possible from the velocity field to determine which side of the disk is closer to the observer, and distinguish inward from outward velocities in the disk. Since the near and far side of the disk are opposite in NGC 2903 and NGC 7479, the radial velocity corrected for the orientation of the disk is in the central of both galaxies (see figure 8). In section 3.4, we will see that not all galaxies exhibit negative .
3.3 Analysis of barred galaxies
In order to analyze the molecular gas kinematics in SAB and SB galaxies, it is important to estimate the bar radius (= semimajor axis) and its position angle with respect to the position angle of the host galaxy. The orientation of bars with respect to galactic disks is random, so the apparent length of a bar can vary depending on this angle difference and inclination. In this work, the projected bar radius , defined as the distance from the galactic center to the bar end (as in figure 1) and its position angle were adopted from Herrera-Endoqui et al. (2015), who analyzed the Spitzer data by visual inspection and searching for the radius of ellipticity maximum. The differences between the two values are usually of the order of a few percents, and we adopt a conservative uncertainty of in . The projected radius was converted to a deprojected bar radius by correcting for inclination and position angle using the equation , where is the ellipse flattening (see section 2.2), and is the difference between the position angle of the bar and that of the galactic disk.444The formula is obtained from the equation of an ellipse, , expressed in polar form, where , , and ; see figure 1. The position angles and deprojected bar radii are listed in table 3.3. Note that some recent works (Buta et al., 2007, 2015; Herrera-Endoqui et al., 2015) classify some galaxies listed in table 2.3 as SA, in contrast to SAB designation in de Vaucouleurs et al. (1991). Since there was no reliable data for the bars in these systems, they were excluded from the sample of barred galaxies, and the final list consists of 3 SAB (NGC 3627, NGC 4303, NGC 5248) and 4 SB (NGC 613, NGC 2903, NGC 4579, NGC 7479) objects. For comparison, we include more recent classifications of galaxies in table 3.3.
Figure 6 shows the relations between the deprojected bar radius , total molecular gas mass , and total stellar mass . Here, the molecular gas mass was calculated as , where is the mass of a single hydrogen molecule, is the area of a map pixel, is the integrated intensity, is a standard conversion factor (Bolatto et al., 2013), and summation is performed over all pixels. The factor is the correction for the abundance of helium. The uncertainty of was evaluated for each pixel as , where is the r.m.s. of the emission-free channels, is the velocity range of the signal, and is the channel width. Since , the uncertainty was translated into the uncertainty of (Sorai et al., 2019).
The total stellar mass was calculated from the Wide-field Infrared Survey Explorer (WISE) data products by Sorai et al. (2019), who applied the light-to-mass conversion method described in Wen et al. (2013). The masses of the barred galaxies are listed in table 3.3; the ratio is typically of the order of in the studied objects. The plots indicate that the galaxies with massive stellar disks in our sample generally tend to have longer bars and larger total molecular gas reservoirs. The relation between and also holds when a larger sample is studied, as shown in DΓaz-GarcΓa et al. (2016). Note that the plot in figure 6(b) includes all 44 SAB and 36 SB galaxies (without SA) in the COMING sample. The relation in panel (b) can be fitted with a power law
[TABLE]
Figure 6(b) shows that the 7 barred galaxies analyzed in this work are among the luminous ones () compared to the entire sample.
3.4 Gas streaming motions
One of the main results of the mode analysis of the velocity fields is presented in figure 7, where the noncircular velocity parameter and the deprojected radial velocity of 12 SA galaxies (on the left) and 7 SAB+SB galaxies (on the right) are plotted against galactocentric radius. The radial velocity is corrected for inclination and for the near/far side of the disk of the barred galaxies, assuming that these galaxies all have trailing spiral arms. The sign of depends on disk orientation, such that when the near side is at , and when the near side is at (figure 8). Radial velocities uncorrected for disk orientation, i.e., as derived by the program, are shown in figures 11-15 in Appendix. For SA galaxies, we plot the results in their uncorrected form in figure 7 to avoid uncertainty in the choice of orientation of their disks.
Figure 7 shows a clear difference in the parameter between the barred and non-barred systems at 1 kpc resolution: inspecting the regions within the bar radius in SAB and SB galaxies, we find a maximum of at , which is a factor of 1.5-2 larger than in SA systems, where no significant variation with radius is observed. On the other hand, the values appear to be similar () in both barred and non-barred objects at large radii.
The radial velocities , plotted in figure 7(f), indicate that the rise in can be attributed to some extent to the coefficient in . Molecular gas is affected by the presence of the bar and exhibits noncircular (streaming) motions with radial velocity amplitudes typically at 1 kpc resolution. Note that both and velocities are observed. The reason for this is that there can be both inward and outward motions of gas in the bar region as there are negative and positive gravitational torques (tangential forces) in the vicinity of the bar that give rise to tangential acceleration and ; gas is accelerated as it approaches the bar on the upstream side and decelerated on the downstream side. The streaming motions are clearly visible in figure 8, where isovelocity contours tilt with respect to kinematic minor axis in the same sense as the bar. If the gas orbits were ellipses, the isovelocities in the bar would remain without tilt only if or (Kalnajs, 1978). However, we find substantially tilted isovelocity contours even in NGC 2903, where . This behavior can be explained in terms of gas inflow in the bar region.
Among the barred galaxies, NGC 4579 exhibits notably peculiar CO (1-0) velocities with a large value of in the innermost ring. The high fraction of noncircular motions appears to be related to a blueshifted velocity component in the galactic center, as evident in the moment 1 image in figure 8. Similar peculiar motions of gas can also be seen in the velocity field of ionized gas traced by [O III] in the central (Dumas et al., 2007), as well as within of the interferometric CO (1-0) data in Sofue et al. (2003).
NGC 3147 is not included in the plots because it is very weakly barred (classified as or SA). The bar length in the catalogue of Herrera-Endoqui et al. (2015) suggests a nuclear bar (); similarly, Casasola et al. (2008) reported a radius of , which is too small to be resolved in our images. Nevertheless, the result of Fourier decomposition of this galaxy (Appendix) exhibits noncircular motions that peak at the innermost radii, in agreement with other barred systems.
Similarly, NGC 5678 is classified as SAB in de Vaucouleurs et al. (1991) and as SA in Herrera-Endoqui et al. (2015). There is no clear indication of a bar in this galaxy, so we place it in the SA plot in figure 7(e). However, we note that the behavior of exhibits a change in sign at a radius of , indicating that the velocity field is perturbed. The optical/near-infrared morphology suggests asymmetric morphology with an outer pseudoring.
On the other hand, although NGC 2967 is classified as SA in de Vaucouleurs et al. (1991), ellipticity measurements reported in Herrera-Endoqui et al. (2015) and Salo et al. (2015) indicate an SAB type; the bar radius, however, is only , which is smaller than the resolution of our images and the influence of this nuclear bar can be neglected. This is supported by the fact that behaves as expected from an SA (figure 12).
4 Discussion
4.1 Corotation resonance and bar pattern speed
Based on analytical models of weak bar potentials,555A commonly used definition of a weak bar is the condition , where is the axisymmetric component and is the non-axisymmetric component of the potential. a bar is expected to extend between the radius of an inner Lindblad resonance (if there is any) and the corotation radius , where the disk material and bar rotate with the same angular velocity () (Contopoulos, 1980; Elmegreen, 1996; Binney & Tremaine, 2008). It is therefore expected that the corotation radius in the majority of weakly barred galaxies is at least as large as the bar radius. Numerical simulations also suggest that the ratio of the corotation radius to the bar radius, defined as the parameter , is typically in the range (Athanassoula, 1992); these are referred to as the fast bars, in contrast to the slow bars, which are loosely defined as having . On the other hand, since the gravitational torques generated by the bar are generally smaller at radii compared to the bar region (DΓaz-GarcΓa et al., 2016), the velocity dispersion of gas is expected to decrease at the corotation radius. In accordance with the density wave theory, the velocity field may even reverse phase at , in the sense that radial streaming motions of gas associated with spiral arms change sign at resonance radii, such as corotation and outer Lindblad resonance (OLR), in systems where the spiral pattern is forced by a bar (Kalnajs, 1978). Therefore, identifying the radii where the velocity reversals occur can yield the locations of resonances.
4.1.1 Radial velocity reversal
The argument of Kalnajs (1978) was recently applied by Font et al. (2011) on high-resolution H data to develop a new technique of estimating the pattern speed (resonance radii) in spiral galaxies. In Font et al. (2017), is found indirectly by first measuring , and since the angular velocity of the disk is equal to that of the bar at , the value of at that radius becomes the bar pattern speed. Here, is determined at the radial range where the velocity residuals, obtained by subtracting a model velocity field image from the H velocity field image, are minimal and reversals are identified. In principle, the method can also be applied to estimate the pattern speed of spiral arms if they are regarded as density waves (Font et al., 2014).
The possibility that the gas velocity field images (e.g., CO, HI, H) can be used to determine the corotation radius of spiral arms, based on the assumption that they are density waves, was also discussed in Canzian (1993), GarcΓa-Burillo et al. (1994), Canzian & Allen (1997), Colombo et al. (2014), and others. For example, high-resolution () images of the grand-design spiral galaxy M51, analyzed by Colombo et al. (2014) and Querejeta et al. (2016), reveal streaming motions in the spiral arms that can be associated with different wave modes and corotation, although possibly amplified by tidal interaction with M51b.
Compared to spiral arms, the bar instability is believed to be a genuine, long-lasting density wave in the disk and the response of gas in terms of streaming motions is more obvious, so that the location of its corotation can be estimated by applying the following simplified method. Since gas streaming motions are present in the bar region, we will observe inside and near it, and the spatial extent of the mode is determined by the reversal radius in the axisymmetric radial velocity (table 3.3). The existence of regions near the corotation can be understood from the simulations of Athanassoula (1992). For example, figure 2(b) of her paper shows that velocity vectors have magnitudes close to zero in the corotation region in the reference frame where the bar is at rest. Since the material here then must rotate about the galactic center at the same rate as the bar, the rotation is nearly circular and both radial velocity projected along the minor galactic axis and radial velocity dispersion are expected to be minimal. Note, however, that these models consider isolated (non-interacting) barred galaxies.
In order to examine the velocity reversal method for barred galaxies, we first discuss on the behavior of determined by mode analysis. Although OLR also is an important resonance, often related to the formation of outer rings in galaxies (Buta & Combes, 1996; Buta et al., 2007), it may lie outside the region where CO (1-0) is firmly detected in our images, so in this section we discuss corotation only. The location of OLR and its relation with the observables is briefly addressed in section 4.3.
As evident in figures 4 and 7, the calculated exhibits a reversal at a specific radius in the case of barred galaxies, in contrast to the majority of non-barred spiral galaxies, where at most radii. In all but one galaxy, the reversal radius is somewhat larger than the bar radius (table 3.3), which is comparable to the expected value of based on analytical analyses and simulations of weakly barred galaxies. Assuming that , we get ( of the mean), with a wide range , in general agreement with previous measurements that apply different methods (e.g., Aguerri et al. (2003); Rautiainen et al. (2008); Corsini (2011); Aguerri et al. (2015); Font et al. (2017)). For example, the simulations in Rautiainen et al. (2008) yield a similar value of for intermediate (SBb) barred galaxies, comparable to the ones in our sample. Although the uncertainty is large, arising mainly from the uncertainty of , the values suggest the presence of both fast and slow rotator bars in intermediate barred spirals. We also note that the minimum of the smoothed in SAB and SB systems in figure 7(d) lies at .
The corotation of a trailing spiral pattern is expected to be marked by a reversal from negative (inward) to positive (outward) (Kalnajs, 1978). Figure 7(f) indicates that NGC 4303 and NGC 4579 may have two reversals, one just beyond the bar end and the other farther out in the spiral arms. Since both galaxies exhibit between the first and second reversal radii, this region may be inside the corotation of the spiral pattern. For instance, similar gas dynamics with streaming motions and reversals in the spiral arms is observed in the SB galaxy NGC 1365 (Lindblad et al., 1996; Elmegreen et al., 2009).
In the discussion that follows, we associate the -reversal radius (where ; radial velocity decreases to zero or changes sign) with as an approximate location of the corotation resonance, adopting an uncertainty given by the resolution of the image grid (). The error of , discussed in section 3.1 (figure 3), is the dominant contributor to the uncertainty of the deprojected radius, and this is reflected on . In galaxies with large , the projection effects nearly cancel out for , since both and , but can be large in objects with small . In the extreme case of , the estimated bar radius is , but we still have and the largest errors arise for small- (close to edge-on) systems. If we take NGC 2903 as an example, figure 3 (see also table 3.3) shows that the photometric is larger than the kinematic one. If we Fourier decomposed this velocity field by using the photometric , we would get somewhat smaller . From table 3.3, the uncertainty of corresponds to of the bar radius in all objects. The total uncertainty of the bar pattern speed is estimated to be of the order of .
4.1.2 Comparison with other studies
Although our measurements of are not the first for most of the selected galaxies, the applied -reversal method is new, relatively simple to perform, and applicable to 1-kpc resolution data. In this section, we demonstrate that there are no significant discrepancies compared to previous works.
The derived value of the pattern speed in NGC 3627 is compatible with found by Helfer et al. (2003) who applied the Tremaine-Weinberg method. Similarly, the parameter , which is distance-independent, is comparable to in Hirota et al. (2009). We also find a marginal agreement for the value of for NGC 613 in Elmegreen et al. (1992), who estimated the location of from an analysis of optical morphology. The values of for both NGC 4303 and NGC 4579 are consistent with the values of and , respectively, in Rautiainen et al. (2008), who simulated model galaxies. We also find agreement with and (Font et al., 2017), as well as for NGC 4303 (Koda & Sofue, 2006), who adopted a similar distance to the galaxy.
The low derived bar pattern speed of NGC 7479 (its upper limit) is comparable to the value of found by Fathi et al. (2009), who applied the Tremaine-Weinberg method on H data and adopted a similar distance to the galaxy. Font et al. (2017) obtained the same value of and , as did Sempere et al. (1995), both consistent with our lower limit.
The case of NGC 5248 is less clear because there are opposite views on the bar length in this system. From inspection of an -band image, Jogee et al. (2002) claimed the presence of a much larger bar () with , that resembles an oval disk in which a spiral pattern is embedded. However, Herrera-Endoqui et al. (2015) and Salo et al. (2015) find an ellipticity maximum at a much smaller radius, compatible with a small bar. The derived from the CO (1-0) velocity field exhibits a reversal at , and figures 7(f) and 8 suggest that the velocity field in this galaxy seems to be only mildly disturbed over most radii.
4.1.3 Bar pattern speed of NGC 2903
Among the examined barred galaxies, NGC 2903 is an SB with the position angle of the bar () found to be nearly equal to that of the disk () of the host galaxy as determined in our analysis (table 3.3). This condition allows us to investigate the bar pattern speed by using an alternative approach, as demonstrated in Salak et al. (2016) for NGC 1808 [see also Hirota et al. (2009)].
As mentioned in section 2.2, the measured mean velocity can be expressed as . Assuming that molecular clouds in the bar region propagate in nearly radial direction (in the non-inertial reference frame of the bar) in the βoffset ridgesβ where prominent dust lanes are often observed, and that the dust lanes are the density maxima in gas flow, the projected azimuthal velocity (in the inertial frame of the observer) in the bar region is much larger than the radial velocity component along the line of sight, hence the equation simplifies to . Under this condition, the observed azimuthal velocity is related to the rotation of the bar via .
The expected linear relation can be seen clearly in the plot of and in figure 4(c), where the angular velocity of the disk appears nearly constant within a wide range of that marks the extent of the bar. The flat portion of the angular velocity curve here can be interpreted as the pattern speed of the bar in NGC 2903, and is consistent with the value of determined from the reversal method in section 4.1.1, where we have assumed that (table 3.3). In fact, figure 4(c) shows that the angular velocity is lower than the derived value of at some radii inside corotation. Since the bar is rotating slower than the disk at , the bar pattern speed is possibly somewhat lower, in better agreement with Hirota et al. (2009).
4.2 Bar radius, total stellar mass, and bar pattern speed
Using the estimated bar pattern speed , we now examine its relation with two fundamental parameters of the host galaxies: bar radius and total stellar mass (figure 9). Although the sample is small, is found to be relatively low in systems with large bars and massive stellar disks. The first result, shown in panel (a), is not entirely surprising: if the rotational velocities of the galaxies are similar and approximately flat or decreasing at large radii, then the angular velocities are decreasing with ; if is large, as is found in systems with long bars, is expected to be relatively low. This trend is generally expected from simulations (Debattista & Sellwood, 2000) and analytical analyses (Lynden-Bell, 1979).
Figure 9(b) tentatively suggests a negative correlation between the bar pattern speed and the total stellar mass in these systems. If large- galaxies have massive dark matter halos, the observed trend may indicate that dynamical friction on bars by the dark matter halos effectively slows them down (Chandrasekhar, 1943; Tremaine & Weinberg, 1984b). From the point of view of numerical simulations, the following scenario is expected: as galaxies evolve, their masses increase and the rotational speeds of bars decay due to frictional torques exerted by dark matter halos and angular momentum transfer to the outer disk and bulge (Sellwood, 1980; Weinberg, 1985; Debattista & Sellwood, 2000; Athanassoula, 2003; Minchev et al., 2012; Saha et al., 2012). In the sample, we have two SB galaxies with massive stellar disks and slowly rotating bars: NGC 613 and NGC 7479. Curiously, we find in NGC 613, which classifies it as a fast bar. This would be expected if the galaxy hosts a βmaximum diskβ with a minimal fractional contribution of the dark matter halo in the bar region () (Debattista & Sellwood, 2000). Some studies suggest that maximum disks are indeed more common in luminous spiral galaxies, such as these in our sample, compared to low-luminosity ones (Kranz et al., 2003).
If the baryonic mass in the studied galaxies is proportional to the dark matter mass, the negative relation in figure 9(b) would be observed for both and the total galactic mass (baryonic + dark matter) . The rotation curves of the 7 barred galaxies, which can be used as proxies of the total (dynamical) mass within a certain radius (assuming symmetrical distribution of mass) via , attain maximal measured values in a range between , with no clear correlation with . This is possibly because was derived within a larger spatial extent than . On the other hand, we find a negative correlation between and the dynamical mass within the bar radius, , as shown in figure 9(c). To further investigate the extent of coupling between and with , it is important to study the shapes of rotation curves of these galaxies at larger radii.
4.3 The effects of galactic mass distribution and tidal interactions on resonance radii
In the simplistic discussion above, the barred galaxies are regarded as isolated and similar in terms of mass distribution and underlying rotation curves. However, recent numerical simulations give insight into possible complications in systems undergoing tidal interactions during fly-bys, as well as subtleties of gas kinematics and the location of corotation that arise from differences in rotation curves (mass models) of the host galaxies (Pettitt & Wadsley, 2018).
4.3.1 Gas kinematics in simulated barred galaxies
In figure 10, we show an example of gas kinematics calculated for simulated galaxies in Pettitt & Wadsley (2018) for different rotation curve models (referred to as the Fall, Rise, and Mid models in figure 1 of their paper; the distribution of gas is shown in figure 26) and interaction strength: S00 for isolated systems and S05 for weakly interacting ones. In panel (a), we show the azimuthally averaged radial velocity dispersion as a function of galactocentric radius, the bar semimajor axis , and the corotation radius at time .666The azimuthally averaged radial velocity in simulated galaxies is written as to distinguish it from the axisymmetric radial velocity derived from Fourier decomposition, which we write as . The velocity dispersion is , where means averaging in azimuth . Note that the bar length is determined by tracing the linearity of the bar figure such that a deviation of a Gaussian fit by from the one in the inner 2 kpc is regarded as the beginning of a spiral arm/bar end at that radius (Pettitt & Wadsley, 2018). This definition is different from the one adopted here for the observed bars (Herrera-Endoqui et al., 2015).
The results show that, in general, the corotation radius is often found to be in the vicinity of a local minimum in (and just outside the region of high ), as discussed in section 4.1.1, but may be as much as offset, especially in galaxies with rising rotation curves. Note that the region of high is comparable to in section 3.4 and figure 7, where it was found that an increase in the ratio of noncircular to circular motions in SAB and SB systems, quantified by , is located within . Figure 10(a) suggest that the global maximum of is generally found in the vicinity of the inner Lindblad resonance, at a radius of , which is notably similar to the behavior of in figure 7(d). In some models (FallS00 and MidS00), another small jump is observed in the vicinity of the outer Lindblad resonance.
In figure 10(b), we show azimuthally averaged radial velocity for the same galaxy models as in panel (a). The gas flow is generally negative (inward) with within and beyond in all isolated galaxy types, in agreement with the assumptions made in section 4.1.1. In fact, is found to be at least at the reversal radius and in some cases farther out (). Although the offsets seem to be rather small () especially in FallS00 and RiseS00 models, corotation does not always mark a clear reversal in . Moreover, note that the situation may dramatically change in systems undergoing weak interactions. In all S05 plots in figure 10, the radius seems to be uncorrelated with , though we still find that in all cases. The plots also show that appears to attain its minimum in the vicinity of the inner Lindblad resonance in all models.
4.3.2 Comparison with observed molecular gas kinematics
The parameters of individual galaxies presented in section 3 and Appendix can be compared with the simulations. The input information is the shape of the rotation curve and the presence or absence of a tidally interacting neighbor. In addition to relatively isolated galaxies (NGC 613, NGC 2903, NGC 5248, and NGC 7479), the sample presented here includes one member of a compact group (NGC 3627; Leo Triplet), as well as cluster members (NGC 4303 and NGC 4579; Virgo cluster); we also find a variety of rotation curve shapes, which are mainly Fall or Mid types, as judged from published HI data, such as THINGS (de Blok et al., 2008), that trace the dynamics to larger radial extent. These two models correspond to disk-dominated systems with , unlike Rise which is dark matter dominated and generates slow rotators () in the simulations.
Comparing , derived from Fourier decomposition of CO velocity fields, with in figure 10, we find that the models for isolated bars resemble the behavior of radial velocity in the galaxy sample, i.e., generally at . As an example, we compare the results of simulations with the above discussed SB system NGC 2903, which has (bar is aligned with the galactic major axis) so that we can compare directly with . The panel in figure 4(c) suggests a rising rotation curve; however, HI measurements beyond clearly indicate a Fall type (de Blok et al., 2008). A comparison of the measured values with the simulation results for FallS00 reveals the following similar features: (1) the corotation radius is close to the bar radius, (2) this radius is in the vicinity of a steep rise in and , and (3) the radial velocity is within . Similar behavior is observed in other isolated galaxies too, such as NGC 613 and NGC 7479.
Another example is NGC 3627 (M66), a member of the Leo Triplet galaxy group that includes NGC 3623 (M65) and NGC 3628. The rotation curve of NGC 3627 can be regarded as a Mid type based on HI kinematics (de Blok et al., 2008), and due to its interaction past (Zhang et al., 1993), we may consider both MidS00 and MidS05 panels of figure 10. Compared to figure 12, we recognize that lies at a radius larger than and that and are at minimal values. Note that NGC 3627 exhibits at some radii, as evident from figure 7(f), even though it also has a relatively small . This behavior is comparable to in the MidS05 model.
Similarly, figure 7(f) shows that NGC 4303 and NGC 4579 also exhibit some outward motion of molecular gas at . This can be understood if the clouds are accelerated inside corotation due to positive torques exerted by the bar on the upstream side. Curiously, these two objects are members of the Virgo cluster, which makes them good candidates for subtle tidal interactions, as in all S05 models in simulations. For instance, NGC 4303 (M61) may be a MidS05 type, judging from the large-scale rotation curve in Sofue et al. (1999), and its optical morphology (dust lanes in high resolution images) resembles the distribution of gas in figure 26 (MidS05) of Pettitt & Wadsley (2018). Figure 10(b) shows that weak interactions may notably elevate the azimuthally averaged radial velocity at some radii inside corotation.
4.4 Concluding remarks
The above comparisons lead us to two main conclusions of the discussion on bar pattern speed. (1) The observed properties of relatively isolated SAB and SB galaxies are generally consistent with the simulations of non-interacting galaxies, thereby providing a justification for the -reversal method described in section 4.1.1 that was motivated by the density wave theory and early numerical works. From its simplicity and good agreement with previous studies, we suggest that the method can be applied to modest-resolution (1 kpc) wide-field velocity field data that are often more easily acquired in large galaxy surveys (such as COMING) compared to high-resolution images. In order to apply the -reversal method, it is essential to detect CO or another tracer of cold gas (e.g., HI) to radii outside the bar at resolution high enough to resolve the basic galactic structure. (2) The effects of rotation curve (mass distribution) differences and tidal interactions on the location of corotation radius, as shown by simulations, should be taken into account when methods based on velocity (phase) reversals are applied in such systems. Our work encourages new studies, that can be conducted using facilities such as Atacama Large Millimeter/submillimter Array, to further investigate molecular gas kinematics (e.g., radial velocity ) in a variety of morphological and tidal interaction stages and its relation with the bar pattern speed. Establishing a reliable method of determining at 1 kpc resolution for a variety of galactic morphologies is especially important when such measurements are attempted for high-redshift objects to understand the evolution of barred galaxies in the early Universe.
5 Summary
We have presented a mode analysis of the 1-kpc resolution 12CO (1-0) velocity fields of 20 nearby galaxies selected from the COMING legacy project of Nobeyama Radio Observatory. The main results are summarized below.
The velocity fields (moment 1 images) of 13 non-barred (SA) and 7 barred (SAB and SB) spiral galaxies were Fourier decomposed into circular () and radial () velocity components by ellipse fitting using the program Kinemetry. The fitting results yielded new measurements of the kinematic position angle, disk inclination, and systemic velocity. 2. 2.
In barred galaxies, the ratio of noncircular to circular velocity components is of the order of at inner radii in the bar region, in contrast to an approximately radius-independent value of in non-barred (SA) spirals. On average, the ratio attains a maximum at . The enhanced noncircular motions are found to be caused by substantial radial velocities, i.e., streaming motion in the bar region with amplitudes up to at 1 kpc resolution. 3. 3.
The radial velocity in SAB and SB galaxies generally decreases to at a reversal radius , which is found to be the size of the bar in a sample of 7 galaxies. Associating with the corotation radius of the bar, we estimated the bar pattern speed of the sample galaxies. The results are consistent with previous studies and suggest that intermediate (SBb-SBc), luminous barred spiral galaxies host fast and slow rotator bars. 4. 4.
The bar pattern speed is found to decrease with and total galactic stellar mass . Although more data are needed to improve the significance of the analysis, the result is in agreement with theoretical predictions that bars evolve by growing and slowing down their rotation as a consequence of angular momentum transfer. 5. 5.
Recent numerical simulations of barred galaxies, that include the effects of different galactic mass distributions and tidal interactions, suggest that corotation radius is often located in the vicinity of the -reversal radius (where ) in relatively isolated galaxies, as assumed in the method to derive . However, we also find that can be largely offset from in galaxies undergoing tidal interactions, suggesting that the velocity reversal method of determining the bar pattern speed in such systems may suffer from large uncertainties.
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The authors thank the referee for sending valuable comments and suggestions. We are grateful to the staff of Nobeyama Radio Observatory for providing generous help in our observations with the 45-m telescope. The Nobeyama 45-m radio telescope is operated by Nobeyama Radio Observatory, a branch of National Astronomical Observatory of Japan. This research has made use of the NASA/IPAC Extragalactic Database, which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.
Circular and noncircular velocity components of individual galaxies
The velocities , , , and , derived by mode analysis for all galaxies in the sample (table 2.3) are plotted in figures 11-15, except for NGC 2903 and NGC 5055, which are shown in figure 4. For the definitions of the parameters, see section 3.
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