Paper

Physical Properties of H ii Regions in M51 from Spectroscopic Observations

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Published 2020 August 10 © 2020. The Astronomical Society of the Pacific. All rights reserved.
, , Citation Peng Wei et al 2020 PASP 132 094101 DOI 10.1088/1538-3873/ab9d92

1538-3873/132/1015/094101

Abstract

M51 and NGC 5195 is an interacting system that can be explored in great details with ground-based telescopes. The H ii regions in M51 were observed using the 2.16 m telescope of the National Astronomical Observatories of the Chinese Academy of Sciences and the 6.5 m Multiple Mirror Telescope with spatial resolution of less than ∼100 pc. We obtain a total of 113 spectra across the galaxy and combine the literature data of Croxall et al. to derive a series of physical properties, including the gas-phase extinction, stellar population age, star formation rate (SFR) surface density, and oxygen abundance. The spatial distributions and radial profiles of these properties are investigated in order to study the characteristics of M51 and the clues to the formation and evolution of this galaxy. M51 presents a mild radial extinction gradient. The lower gas-phase extinction in the north spiral arms compared to the south arms are possibly caused by the past encounters with the companion galaxy of NGC 5195. A number of H ii regions have the stellar age between 50 and 500 Myr, consistent with the recent interaction history by simulations in the literatures. The SFR surface density presents a mild radial gradient, which is ubiquitous in spiral galaxies. There is a negative metallicity gradient of −0.08 dex ${R}_{e}^{-1}$ in the disk region, which is also commonly found in many spiral galaxies. It is supported by the "inside-out" scenario of galaxy formation. We find a positive abundance gradient of 0.26 dex ${R}_{e}^{-1}$ in the inner region. There are possible reasons causing the positive gradient, including the freezing of the chemical enrichment due to the star-forming quenching in the bulge and the gas infall and dilution due to the pseudobulge growth and/or galactic interaction.

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1. Introduction

Understanding galaxy formation and evolution is one of the ultimate challenges in extragalactic astronomy. Detailed investigations of the spatial distributions of stars, dust, and gas in galaxies can provide important information of galaxy formation and evolution, such as star formation, chemical enrichment, and mass assembly. Nearby galaxies provide one of the best laboratories for understanding the current star formation process and can be used to constrain the chemical evolution theories of galaxies (Osterbrock & Ferland 2006; Dobbs et al. 2010).

Due to strong star formation and ionized hydrogen formed by high-energy radiation from young massive stars, H ii regions are prefect probes for studying the star formation processes, evolution of young massive stars, and surrounding interstellar medium. Combining the spectroscopic and multi-wavelength photometric data, we can obtain a series of physical properties from the measurements of the nebular emission lines and underlying stellar continua, such as star formation rate (SFR; López-Sánchez 2010; Zhou et al. 2014; González Delgado et al. 2016), mass and luminosity (Rosales-Ortega et al. 2012; García-Benito et al. 2019), effective yield and rotation velocity (Pilyugin et al. 2004; Zou 2011a; Hu et al. 2018), stellar-to-gas fraction (Zahid et al. 2014), spatial distribution of gas-phase or stellar metallicity (Bresolin et al. 2004; Zou et al. 2011b, 2011c; Lin et al. 2013, 2017; Pilyugin et al. 2014; Sánchez et al. 2014; Croxall et al. 2015; Ho et al. 2015; Hu et al. 2018), and stellar population parameters (Zou et al. 2011b; Sánchez-Blázquez et al. 2014; Zhou et al. 2014; Hu et al. 2018).

In the past decades, the integral field spectrograph (IFS) plays an important role in understanding the nature of galactic structure, formation, and evolution. A number of IFS surveys have being carried out, e.g., SAURON (Bacon et al. 2001), CALIFA(Sánchez et al. 2012), SAMI (Bryant et al. 2015), AMUSING (Galbany et al. 2016), and MaNGA (Bundy et al. 2015). Spatially resolved spectroscopic data of galaxies in the local universe make it possible to statistically study the physical properties and their correlations in sub-galactic scale, such as the radial metallicity gradients (Pilyugin et al. 2014; Sánchez et al. 2014; Ho et al. 2015; Croxall et al. 2016; Sánchez-Menguiano et al. 2019), radial age gradients (Sánchez-Blázquez et al. 2014), the relation between the abundance gradient and morphology, mass, or bar (Sánchez-Menguiano et al. 2018; Zinchenko et al. 2019), SFR as a function of Hubble type and of galaxy mass (González Delgado et al. 2016; Cano-Díaz et al. 2019), and global and local mass–metallicity relation (Tremonti et al. 2004; Rosales-Ortega et al. 2012; Barrera-Ballesteros et al. 2016).

Most IFS surveys focus on the galaxies with relatively small apparent sizes, generating the spatial resolutions of order of kpc or sub-kpc. Considering that nearby large galaxies are rather close to us and their sizes are too big to be covered by IFS observations due to relatively small field of view, we have undertaken a project of spectroscopic observations of H ii regions in 20 nearby face-on spiral galaxies (Kong et al. 2014), using the long-slit spectrograph of the 2.16 m telescope (Fan et al. 2016) mounted at XingLong station of National Astronomical Observatories of China (NAOC) and multifiber spectrograph of the Multiple Mirror Telescope (MMT; Fabricant et al. 2005). With these samples, we can obtain high spatial-resolution (<160 pc) spectroscopic data of galaxies to analyze the distributions of the galaxy observables in great details, including dust extinction, metal abundance, star formation, and stellar population. So far, we have obtained the largest spectral sample of H ii regions for M33 and analyzed the spatial distribution of electron temperature and oxygen abundance (Lin et al. 2017). Hu et al. (2018) used 188 spectrum of H ii regions of M101 to investigate the two-dimensional distributions of stellar population and kinematic properties of this galaxy.

As one of the 20 nearby galaxy samples, M51 has been observed by using both the long-slit of the 2.16 m telescope and multifiber spectorgraph of the MMT. M51 (NGC 5194, also known as the Whirlpool nebula, α = 13h29m52fs711, δ = +47°11'42farcs62) is a grand-design face-on spiral galaxy with the Hubble type of Sbc. Since M51 and its peculiar companion galaxy NGC 5195 are a close interacting galaxy pair, substantial H ii regions have been formed in its spiral arms. M51 presents the metal-rich feature and a shallow radial abundance gradient (Bresolin et al. 2004; Croxall et al. 2015). It was found that M51 and NGC 5195 underwent an interaction, which induced a burst of star formation about 340–500 Myr ago (Mentuch Cooper et al. 2012). Therefore, M51 is an excellent object for studying the current status of an interacting system. In this paper, we present the spectroscopic observations of the H ii regions and derive a series of physical properties, including the extinction, SFR surface density, stellar age, and gas-phase metallicity, and study their spatial distributions. Through the properties and their spatial distributions, we try to obtain the characteristics of this galaxy and investigate evolutionary clues and possible influence of the galactic interaction. Table 1 lists some basic parameters for M51 and NGC 5195, which are adopted for analyzing the radial profiles in this paper.

Table 1.  Basic Parameters for M51 and NGC 5195

  Parameters Parameter value Referencea
  R.A. (J2000) 13h29m52fs711 (1)
  Decl. (J2000) +47°11'42farcs62 (1)
  Distance 7.9 Mpc (1)
M51 Inclination 22° (2)
  P.A. 172° (3)
  R25 336farcs6 (4)
  Re 125farcs1 (4)
  R.A. (J2000) 13h29m59fs590 (1)
  Decl. (J2000) +47°15'58farcs10 (1)
NGC 5195 Distance 7.9 Mpc (1)
  inclination 43° (5)
  P.A. 91° (5)

Note.

aReferences: (1) NASA/IPAC Extragalactic Database (NED); (2) Colombo et al. (2014); (3) Walter et al. (2008); (4) Third Reference Catalog of Bright Galaxies (RC3) (de Vaucouleurs et al. 1995); (5) Spillar et al. (1992).

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The paper is structured as follows. Section 2 introduces the spectroscopic observations and corresponding data reduction. Section 3 describes the detailed measurements of different physical properties. Sections 4 shows the spatial distributions of these physical properties and presents related comparison and analysis. The summary is given in Section 5.

2. Observations and Data Reduction

2.1. Facilities and Observations

The H ii regions were selected from the continuum-subtracted Hα image from NASA/IPAC Extragalactic Database. The sources are detected in this Hα image by SExtractor (Bertin & Arnouts 1996). The spectroscopic targets of H ii regions are selected as those sources with at least 25 pixels (about 75 pc in radius) whose Hα flux is larger than a critical value. Possible contaminations by foreground bright stars selected from Two Micron All Sky Survey Point Source Catalog (Skrutskie et al. 2006) were eliminated. The optical spectra of M51 were taken by the Optomechanics Research Inc. (OMR) long-slit spectrograph of the 2.16 m telescope (Fan et al. 2016) at the Xinglong Station of NAOC and the Hectospec multi-fiber positioner and spectrograph of the 6.5 m MMT telescope (Fabricant et al. 2005). The OMR spectrograph is deployed at the Cassegrain focus. It provides a dispersion of 4.8 Å pixel−1 and a resolution of about 10 Å. The wavelength coverage is about 3600–8000 Å. The Hectospec is a moderate-resolution, multi-object optical spectrograph at the Cassegrain focus of the 6.5 m MMT telescope. The Hectospec fiber positioners allow the users to reconfigure 300 fibers to targets over the 1° focal surface in 300 s. Each fiber has a diameter of 1farcs5, corresponding to about 57 pc at the distance of M51. The Hectospec 270 gpm grating with blaze wavelength at 5200 Å was used. The spectral coverage ranges from 3650 to 9200 Å. The dispersion is 1.21 Å pixel−1 and the resolution is ∼5 Å.

The M51 observations with the OMR spectrograph of the NAOC 2.16 m telescope started in 2008 March 9 and ended in 2014 March 23. A total of 19 nights were used. Bias and dome flat frames were taken at the beginning and end of every night. The He–Ar arc lamp was used for wavelength calibrations. Normally, we took two exposures for each object and each was about 1800 s. The left panel of Figure 1 presents the slit positions on the sky. The length of the spectrographic slit was about 4' and the width was about 2farcs5, corresponding to about 96 pc at the distance of M51. A total of 30 slit positions were selected. Some of them were placed along the major-axis and minor-axis directions of M51 and NGC 5195, which was aimed to obtain high signal-to-noise ratio (S/N) continua of the bulges. For other slits, we manually placed them to cover as many H ii regions as possible. The sky spectra with exposure time of 1200 s were taken between two exposures of each slit position. Proper flux standard stars were selected from the catalog of International Reference Stars (Corbin et al. 1991). Their slit spectra were used for the flux calibration.

Figure 1.

Figure 1. Left: slit positions (blue dashed line) placed on M51 observed by the NAOC 2.16 m telescope. The background gray-scale map is the continuum-subtracted Hα narrowband image taken from NED. Green pluses imply the centers of M51 and NGC 5195. North is up and east is left. The red squares show the positions of the extracted spectra. Right: fiber positions (open circles) of the Hectospec multi-fiber positioner on the 6.5 m MMT telescope.

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We were awarded half a night on 2012 February 10 by the Telescope Access Program (TAP9 ) to use the multifiber spectrograph of the MMT telescope. The H ii regions of M101 were preferentially targeted due to its larger size. M51 was considered as a secondary target to supplement the long-slit observations. It was unfortunate that the weather got worse after the M101 observation. Only a few spectra with good quality were obtained. The exposure time was 3600 s. The observations were taken at airmass of about 1.06 and the seeing was about 0farcs8. The right panel of Figure 1 shows the fiber positions.

2.2. Spectral Data Reduction

The raw data taken by the NAOC 2.16 m telescope observations are processed using the IRAF software.10 We perform the bias subtraction, flat-field correction, cosmic-ray removal, and the sky-background subtraction. The spectrum of each H ii region is extracted based on the dispersion trace of the flux standard star and then wavelength-calibrated by using the extracted spectrum of the He–Ar lamp at the same CCD position. Flux calibration is performed based on the observation of the flux standard star and the mean atmospheric extinction coefficients at the Xinglong Station.

The MMT data are reduced with the publicly available HSRED v2.0 software.11 After bias subtraction and flat-field correction, the fiber spectra are extracted and wavelength calibrated. The background sky emission is estimated by taking the average spectra with "blank sky" fibers in the same exposure and is subtracted from the individual spectrum. There is no observation for the flux standard star. The spectral energy distributions from the 15 intermediate-band photometric images of the Beijing–Arizona–Taipei–Connecticut Color Survey of the Sky are utilized to calibrate the spectra (Lin et al. 2017).

There is a total of 250 extracted spectra, 113 of which are visually checked to have either good stellar continua or emission lines. Among the 113 spectra, 99 spectra are from the slits and the others are from the fibers. The furthest location of the spectra was ∼10.5 kpc in terms of galactocentric distance of M51. All these spectra are resampled (keeping energy conservation) with a wavelength step of 1 Å in the range of 3700–7500 Å using IRAFs dispcor procedure. The 1 Å step is selected according to the suggestion of STARLIGHT12 spectral synthesis code (Cid Fernandes et al. 2005), as we want to get the stellar population age. These spectra are corrected for the Galactic extinction using the extinction law of Cardelli et al. (1989) and the reddening value of $E(B-V)=0.031$ from the Galactic dust map of Schlegel et al. (1998).

3. Spectral Measurements

3.1. Full Spectrum Fitting and Stellar Age Measurement

The underlying stellar continuum of each spectrum is modeled with the STARLIGHT spectral synthesis code. A grid of 150 simple stellar population (SSP) templates from Bruzual & Charlot (2003) 13 with the Chabrier (2003) initial mass function (IMF) are used. These SSP templates cover 25 different ages (1 Myr–18 Gyr) and six metallicities (0.005–2.5 Z). The extinction law of Cardelli et al. (1989) is adopted to add dust extinction to the models. The observed spectrum is considered as a linear combination of the SSP templates. During the fitting of STARLIGHT, the wavelength regions covered by nebular emission lines and atmospheric absorption lines are masked. Figure 2 gives an example of the spectral fitting for two H ii regions observed by the NAOC 2.16 telescope and MMT. The best-fit model spectra are also overlapped in this figure.

Figure 2.

Figure 2. Upper: a high S/N observed spectrum of an H ii region (black in the upper panel) observed by the NAOC 2.16 telescope. The best-fit model spectrum is overplotted in red. The residual spectrum between the observed and model spectra is plotted in the lower panel. The horizontal red line denotes the zero residual. The vertical dashed lines mark the emission lines used in this work. From left to right, they are Hβ, [O iii]λ4959, [O iii]λ5007, Hα, and [N ii]λ6583, respectively. Bottom: the same as an arbitrarily selected H ii region observed by the MMT telescope.

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For each spectrum, we derive a stellar population age, which is a light-weighted average of the SSP compositions. In order to get a relatively reliable age estimate, the continuum S/N at ∼5500 Å is required to be higher than 10. A total of 86 spectra have the age measurements. The uncertainty in logarithmic stellar age estimated by Cid Fernandes et al. (2005) is about 0.08 dex for S/N > 10.

3.2. Emission-line Measurements

After the subtraction of the stellar continuum as modeled in Section 3.1, the emission-line fluxes of Hβ, [O iii]λ5007, Hα, and [N ii]λ6583, which are used in this paper, are measured through the Gaussian function fitting. Only a few spectra (e.g., the ones at the galactic cores as shown in Figure 2) have the detections of other emission lines, such as [O ii] and [S ii], so their flux measurements are not provided. Due to relatively low spectral resolution and low S/N of the spectra, the flux ratio between [N ii]λ6583 and [N ii]λ6548 is tied to theoretical values of 0.348, respectively. The profiles of Hα, [N ii]λ6548, and [N ii]λ6583 are fitted simultaneously. Following Hu et al. (2018), the flux uncertainty of each emission line is estimated with the standard deviation within a wavelength region of 200 Å in width at the central wavelength of the emission line and errors induced by the Gaussian fitting.

3.3. Extinction Estimation

The gas-phase extinction can be estimated with the Balmer line ratios, such as Hα/Hβ, Hα/Hγ, and Hβ/Hγ. The extinction estimation based on the Balmer lines is regarded to be independent on the physical conditions of the gas, such as the volume density and temperature (Domínguez et al. 2013). The Hα and Hβ lines are detected in most of our spectra, so we use Hα/Hβ to estimate the dust extinction.

Based on the assumptions of the reddening law of Cardelli et al. (1989), RV = 3.1, and the intrinsic Hα/Hβ of 2.86 under the Case B recombination of Te = 10,000 K and ne = 100 cm−3 (Osterbrock & Ferland 2006), the reddening value of $E(B-V)$ can be calculated as

Equation (1)

where k(Hα) and k(Hβ) represent the values of the reddening law at the wavelengths of the Hα and Hβ lines, respectively. (Hα/Hβ)obs and (Hα/Hβ)int are the observed and intrinsic flux ratios, respectively. As described in Catalán-Torrecilla et al. (2015), the extinction curves and dust-to-stars geometries would have little effect on the attenuation calculation. We also check the effect of adding the dust curve of stellar content in the SSP fitting on the gas-phase extinction and find that it makes the gas-phase extinction difference within about 0.03 mag, which is quite smaller than the average measurement error of about 0.1 mag. In this paper, if the observed Hα/Hβ ≤ 2.86, $E(B-V)$ is set to zero. All the fluxes of the emission lines used in this paper are corrected for this gas-phase extinction.

3.4. ΣSFR

The SFR surface density is calculated as ΣSFR = SFR/area. The area for a long-slit spectrum is calculated as the one of a rectangle, whose length is the aperture size used for extracting the spectrum and width is the slit width. The area for a fiber spectrum is calculated as the one of an circular, whose diameter is the fiber size. The SFR in ${M}_{\odot }\ {\mathrm{yr}}^{-1}$ is estimated with the extinction-corrected Hα luminosity (L(Hα)) by using the relation from Kennicutt (1998):

Equation (2)

This SFR calculator is derived based on the Salpeter IMF with stellar masses in the range of 0.1–100 M. Note that the Hα luminosity is calibrated by using the aperture flux of 3'' in diameter in the Sloan Digital Sky Surveys r-band image.

3.5. Metallicity Determination

The so-called direct Te method is the most reliable way to measure gas-phase oxygen abundance, which is based on the ratio of auroral line intensities, such as [O iii]λ4363/λ5007 (Osterbrock & Ferland 2006). However, it is difficulty to detect these auroral lines in our spectra, which are ∼100–1000 times fainter than Hβ. There are multiple strong-line methods to estimate the gas-phase oxygen abundance of galaxies, including R23 (Kobulnicky et al. 1999; Pilyugin & Thuan 2005), N2 (Pettini & Pagel 2004; Marino et al. 2013), O3N2 (Pettini & Pagel 2004; Marino et al. 2013), N2O2 (Kewley & Dopita 2002; Bresolin 2007), etc. Since only a few spectra have the detection of [O ii]λ3727, those metallicity estimators related to this line is not applicable. Although [N ii]λ6583 and Hα lines are detected for most of our spectra, the metallicity based on the N2 index (N2 ≡ log([N ii]λ6583/Hα)) reaches saturation in the solar and super-solar metallicity regime with the N2 calibration (Pettini & Pagel 2004). Thus, we use the O3N2 index to estimate the gas-phase oxygen abundance, where

Equation (3)

We adopt the O3N2 metallicity calibration of Marino et al. (2013), which is expressed as

Equation (4)

This calibration is valid in the range of −1.1 < O3N2 < 1.7 and the calibration uncertainty is about 0.18 dex (Marino et al. 2013). The random error of the metallicity, which is provided in the rest of this paper, comes from the emission-line measurements.

4. Results

Table A1 in the Appendix shows all the emission line measurements and corresponding spectral properties. A total of 113 spectra with Hα and Hβ flux S/N greater than 5 are presented. All the emission-line fluxes are corrected for the gas-phase extinction. The Hβ flux is the absolute line strength, while other line fluxes are relative ones, which are normalized to the Hβ flux. The metallicity measurement requires that [O iii]λ5007 and [N ii]λ6583 have S/Ns higher than 5 (a total of 67 regions). The age measurement requires that the continuum S/N at 5500 Å higher than 10 (a total of 86 regions).

In order to discriminate dominant ionizing sources, we apply the Baldwin–Phillips–Terlevich (BPT) diagram and the equivalent width of Hα (EW(Hα)) to examine the excitation properties of the spectra. As shown in Figure 3, the BPT diagram presents the [O iii]λ5007/Hβ line ratio against [N ii]λ6583/Hα (Baldwin et al. 1981). Two lines from Kewley et al. (2001) and Kauffmann et al. (2003) are adopted to separate pure star-forming, active galactic nuclei (AGNs), and composite regions. As described in Lacerda et al. (2018), the EW(Hα) can be also used to diagnose different ionization sources in a single galaxy: regions where EW(Hα) < 3 Å are ionized by hot low-mass evolved stars, regions where EW(Hα) > 14 Å are related to the ionization due to young OB stars in H ii regions and trace the star formation complexes, and regions where 3 Å < EW(Hα) < 14 Å are contributed by more than one process. The EW(Hα) of our spectra is shown as the colors of the data points in Figure 3.

Figure 3.

Figure 3. Our spectral samples on the BPT diagram presenting the [O iii]λ5007/Hβ line ratio against [N ii]λ6583/Hα. The curves with solid and dashed lines are from Kauffmann et al. (2003) and Kewley et al. (2001), respectively. The color of each point indicate the equivalent width of Hα of each spectra.

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In the BPT diagram, the data points above the Kewley et al. (2001) curve are regarded as the regions possibly affected by AGN. Three points are located in the AGN region and the EW(Hα) is smaller than 14 Å. These points are closed to the nucleus of M51, which has the AGN activity as reported by Goad et al. (1979) and Moustakas et al. (2010). These exceptions, which is specially noted in Table A1, are excluded in the following analyses. There are additional 2 points with EW(Hα) < 14 Å. Most of our samples are star-forming regions close to or below the Kauffmann et al. (2003) curve and their EW(Hα) is larger than 14 Å. All other spectra that have not enough S/Ns of emission lines and thus are not on the BPT diagram are located far away from the M51 nucleus, and their EW(Hα) is larger than 14 Å. It is believed that our spectra mainly come from star-forming regions.

4.1. Extinction Distribution

Based on the Balmer decrement and assumed reddening law of Cardelli et al. (1989), we derive the extinction in AV and map the extinction distribution in Figure 4. In this figure, we also present the extinctions derived by Croxall et al. (2015), who obtained the spectra of 59 H ii regions in M51 from the CHemical Abundances Of Spirals project (Berg et al. 2015). In the paper of Croxall et al. (2015), the extinction was given at Hβ. The Hβ extinction c(Hβ) is converted to AV following c(Hβ) = $1.43E(B-V)$ and ${A}_{V}=3.1E(B-V)$ (Berg et al. 2015). The overall average gas-phase extinction is about 1.18 mag. The core region of M51 presents a larger gas-phase extinction than the outside.

Figure 4.

Figure 4. Two-dimensional distribution of the gas-phase extinction AV across M51. The contours display the isophotal shapes of the Hα emission. The centers of M51 and NGC 5195 are marked with pluses. The filled-circles are the extinctions obtained in this work and the open-squares are the extinctions from Croxall et al. (2015). The dashed line shows the direction of the minor axis, which is used as the boundary between the northern and southern parts of M51.

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The radial extinction distribution is shown in Figure 5(a). We can see that there is a mild extinction gradient, although the radial extinction presents a relatively large dispersion. From the extinction map in Figure 4, we can also see that the extinction in the northern spiral arms is generally smaller than the southern ones. Therefore, we try to divide the spectral samples into north and south regions and present their radial extinction distributions in Figures 5(b) and (c), respectively. The line of the minor axis of M51 is considered as the boundary, which is plotted in dashed line in Figure 4. From these radial distributions, we find that the dispersions get reduced compared to the whole distribution and the gas-phase extinction of the north region, which is close to NGC 5195, is generally smaller than that of the south one. The M51–NGC 5195 system has undergone more than once close encounters and the last one possibly occurred 300–500 Myr ago, which was inferred from kinematic and hydrodynamic simulations (Salo & Laurikainen 2000; Dobbs et al. 2010). The close encounter might disperse the gas distribution in the north parts more seriously and lead to the low gas-phase extinction, although more observational evidence is needed.

Figure 5.

Figure 5. (a) Deprojected radial extinction distribution of all our H ii-region samples in M51. Here Re is the effective radius of M51, which is shown in Table 1. The filled-circles and open-circles are the data from this work and Croxall et al. (2015), respectively. The black star with vertical error bar presents the average extinction and its standard deviation in each radial bin, while the horizontal bar shows the range of each bin. (b) Deprojected radial extinction distributions of the north part. (c) Deprojected radial extinction distributions of the south part.

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4.2. Stellar Age and ΣSFR Distributions

The left panel of Figure 6 shows the distribution of the stellar age. The middle panel of Figure 6 shows the spatial distribution of the equivalent width of the Hα line (EW(Hα)). The EW(Hα) is sensitive to the ratio of present to past SFRs (see Kong et al. 2004, and references therein) and is related to the strength of ionization of the ionization source (Lacerda et al. 2018; Sánchez 2020). We have eliminated the regions influenced by AGN. The EW(Hα) of the majority of our samples are larger than 14 Å, so they are related to the ionization due to young stellar population. The maps of the stellar age and EW(Hα) are generally consistent as shown in Figure 6. The bulge of M51 is older than the outskirt and the inner arms are older than the outer arms. This kind of decreasing radial age profile supports the "inside-out" galaxy growth scenario, which is suitable for a majority of disk galaxies (Sánchez-Blázquez et al. 2014; Sánchez 2020). There are considerable H ii regions in the outer arms with age of 50–500 Myr. The recent close encounter between M51 and NGC 5195 can trigger substantial star formation and form young stellar populations. We also obtain the light-weighted mean stellar age of three regions in NGC 5195, including one in the galactic core and two in the disk. All of them are very old stellar population and the average age is about 10 Gyr. Almost no recent star formation is found in this galaxy, since there is lack of any Hα radiation.

Figure 6.

Figure 6. Left: spatial distribution of light-weighted mean stellar population age in logarithmic scale. Middle: spatial distribution of EW(Hα). Right: spatial distribution of ΣSFR in logarithmic scale. The contours display the isophotal shapes of the Hα emission. The centers of M51 and NGC 5195 are marked with pluses.

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Calzetti et al. (2005) reported that M51 is a typical star-forming galaxy with the total SFR ∼ 3.4 M yr−1 and ΣSFR = 0.015 M yr−1 kpc−2. The right panel of Figure 6 shows ΣSFR distribution of the H ii regions in M51. We can also see that there is on-going star formation in the bulge region of M51. There is no obvious difference of ΣSFR between the northern and southern spiral arms. Although the close encounters can trigger star formation through the perturbation, they might disperse the gas more widely in the north, such that the north part presents similar ΣSFR to the south. It can be also seen from the Hα map that the Hα emission looks more diffuse in the northern arms. Nevertheless, we need more observational evidence to support it.

In Figure 7, we present the radial distribution of ΣSFR. From this figure, we can see there is a monotonic decrease of the radial ΣSFR in M51, although the radial profile presents a relatively large dispersion. The gradient is about −0.55 dex ${R}_{e}^{-1}$. González Delgado et al. (2016) characterized the radial structure of ΣSFR of the CALIFA galaxies, and they found that ΣSFR of all spiral galaxies decreases with radial distance. The typical gradient in the central 1 × Re is about −0.78 dex/Re. Sánchez (2020) presented the radial distributions of ΣSFR for low-redshift galaxies of different stellar mass and morphology based on the recent IFS surveys. M51 is a Sbc-type galaxy and its stellar mass is about 4.7 × 1010 M (Mentuch Cooper et al. 2012). We overlay the radial ΣSFR profile from Sánchez (2020) for galaxies with the same morphological type and similar stellar mass in Figure 7. It shows that the radial ΣSFR gradient of M51 is similar to the galaxies of similar mass and morphology in the nearby universe.

Figure 7.

Figure 7. Deprojected radial distribution of ΣSFR. The black star with error bar present the mean value and its standard deviation in each radial bin, while the horizontal bars show the range of each bin. The radial distribution of ΣSFR for Sbc-type galaxies with 1010.5 M < M* < 1011 M from Sánchez (2020) is shifted upward by 1.4 dex to match our data and overplotted in cyan.

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4.3. Chemical Abundance Distribution

4.3.1. The Spatial Distribution of Oxygen Abundances

There are a total of 67 H ii regions in M51 whose gas-phase oxygen abundances are estimated using the O3N2 calibration. The two-dimensional distribution of the oxygen abundance is shown in the left panel of Figure 8. The data obtained by Croxall et al. (2015) are also overplotted in this figure. Although Croxall et al. (2015) derived the oxygen abundance through the direct Te method, we recalculate the metallicity using the same O3N2 calibration as used in this paper. Note that different strong-line calibrators may give distinct absolute values of metallicity.

Figure 8.

Figure 8. Left: two-dimensional distribution of the oxygen abundance of H ii regions in M51. The contours display the isophotal shapes of the Hα emission. The centers of M51 and NGC 5195 are marked with pluses. Right: radial distribution of the oxygen abundance. The filled circles and open circles are the data from this work and Croxall et al. (2015), respectively. The black stars with error bars are the mean values, while the horizontal bars show the range of each bin. The blue dashed line shows the positive slop at R/Re < 0.4, while the blue solid line shows the negative gradient at R/Re > 0.4. The violescent and green lines display the gradients for the data in our work and the data of Croxall et al. (2015) at R/Re > 0.4, respectively. The radial distribution of oxygen abundance for Sbc-type galaxies with 1010.5 M < M* < 1011 M from Sánchez (2020) is shifted upward by 0.035 dex to match our data and overplotted in cyan.

Standard image High-resolution image

The right panel of Figure 8 shows the radial profile of the oxygen abundance. The data points from Croxall et al. (2015), recalculated by with the same O3N2 calibration, are also presented in this figure. These two data sets are complementary. It is interesting that there are two different gradients in the inner and outer regions. The inner region presents a positive gradient and the outer disk region shows a negative one. We perform two independent linear fits to the radial profile. The cutoff point is manually set at R/Re = 0.4, which is around the turn point of the radial profile as seen in Figure 8. It is corresponding to the angular distance of about 50'' and the galactocentric distance of 1.9 kpc. The region of R/Re < 0.4 includes the bulge (size of 11'' × 16'', Lamers et al. 2002) and surrounding star-forming ring. The linear fits are expressed as

Equation (5)

for R/Re > 0.4 or R/R25 > 0.15, and

Equation (6)

for 0 < R/Re < 0.4 or 0 < R/R25 < 0.15. In Figure 8, we also present the linear fits with only our data and only the data of Croxall et al. (2015). The corresponding gradients in the outer region are −0.05 ± 0.025 and −0.10 ± 0.02 dex ${R}_{e}^{-1}$, respectively. These gradients are consistent with that of the combined data within the uncertainty. Combining two data sets should provide more reliable gradient measurements, because we use the same metallicity calibrator. The metallicity gradients as shown in Equations (5) and (6) are adopted in the following analyses.

4.3.2. Comparison with Previous Work

The radial negative gradient of the oxygen abundance in the disk region (−0.22 ± 0.04 dex ${R}_{25}^{-1}$) is close to other measurements based on different diagnostic methods. Moustakas et al. (2010) used the empirical R23 calibration of Pilyugin & Thuan (2005) and provided an abundance gradient of about −0.31 ± 0.06 dex ${R}_{25}^{-1}$ for about 20 H ii regions. Bresolin et al. (2004) used a sample of 10 H ii regions with the Te measurements and obtained a gradient of −0.28 ± 0.14 dex ${R}_{25}^{-1}$. Croxall et al. (2015) derived an abundance gradient of −0.30 ± 0.10 dex ${R}_{25}^{-1}$ through the temperature-sensitive auroral lines for 29 individual H ii regions. Considering different calibration methods and limited H ii samples, our estimate of the metallicity gradient for the M51 disk is in agreement with the above measurements within the uncertainties. Our abundance gradient is statistically more accurate, since we include a large number of H ii regions.

It is well known that negative radial gradients of the gas-phase metallicity are ubiquitous in many disk galaxies (Searle 1971; Oey & Kennicutt 1993; Zaritsky et al. 1994; Moustakas et al. 2010). It is can be simulated by chemical evolution models, indicating an "inside-out" galaxy growth. The oxygen abundance gradient of the M51 disk (−0.22 ± 0.04 dex ${R}_{25}^{-1}$) is shallower than some other isolated spiral galaxies, such as NGC 628 (−0.485 ± 0.122 dex ${R}_{25}^{-1}$, Berg et al. 2015), NGC 2403 (−0.524 ± 0.043 dex ${R}_{25}^{-1}$, Pilyugin et al. 2014), and M101 (−0.832 ± 0.044 dex ${R}_{25}^{-1}$, Croxall et al. 2016). However, such a comparison is less persuasive due to a small sample. Kewley et al. (2010) and Sánchez et al. (2014) found evidence that the interacting systems present shallower metallicity gradients compared to the isolated galaxies. Recently, the IFS surveys have offered the opportunity to achieve meaningful statistical results about abundance gradients for large samples of galaxies in the Local universe with different properties, such as morphology, stellar mass, and environment density (Sánchez et al. 2014; Ho et al. 2015; Belfiore et al. 2017; Sánchez-Menguiano et al. 2018; Sánchez 2020). Using the high spatial resolution IFS data obtained by MUSE, Sánchez-Menguiano et al. (2018) found that spiral galaxies present a characteristic abundance slope of −0.10 ± 0.03 dex/Re between 0.5 Re and 1.5 Re. Our gradient measurement of the M51 disk is consistent with this characteristic slope. Sánchez-Menguiano et al. (2018) also studied the possible effect of the density of the galaxy environment on the metallicity gradient and claimed that their spiral galaxy samples present a similar slope independent of the environment. It is worthy to notice that they discarded those distorted galaxies with recent interactions (like the M51–NGC 5195 system) in their analysis. Sánchez (2020) showed the radial profiles of the oxygen abundance for galaxies of different morphology and stellar mass. From Figure 15 in Sánchez (2020), the typical gradient is about −0.06 dex ${R}_{e}^{-1}$ for 1010.5 M < M* < 1011 M and Sbc type in the range of 0.4Re < R < 2Re. We also present the radial metallicity profile from Sánchez (2020) in the Figure 8. It seems that the M51 disk does not present much difference of the metallicity gradient from those galaxies with similar stellar mass and morphological type within the measurement uncertainty. According to the above comparison with the literature, the interaction does not seem to have a significant impact in the metallicity gradient measured in the disk of M51.

From the right panel of Figure 8, we can see that a dozen H ii regions at $R\lt 0.4{R}_{e}$ show systematically lower metallicities, compared to the extrapolated oxygen abundance of the outer disk into the inner region. There have been observational evidences based on IFU data that some galaxies present some different behaviors from a simple negative radial gradient in the innermost and outer parts (Sánchez et al. 2014; Sánchez-Menguiano et al. 2018; Sánchez 2020). These studies found that the oxygen abundance of galaxies sometimes presents a prominent flattening or drop in the inner regions. The inner drop is ubiquitous in massive galaxies with M* > 1010 M (Sánchez 2020, and references therein) and it always appears at a similar location of R ∼ 0.5Re for all galaxies (Sánchez-Menguiano et al. 2018). M51 presents a drop at almost the same location. A possible cause to the inner drop as mentioned by Sánchez (2020) is the effect of radial migration to the Lindblad resonances or the freezing of the chemical enrichment due to the star formation quenching in the bulge-dominated inner region. Sánchez et al. (2015) claimed that the ionization conditions of H ii regions seem to be closely related to the properties of the underlying stellar population. It means that the metal enrichment of an H ii region is not necessarily correlated with the most recent star formation but rather to the local star formation history. Recent encounters in M51 may induce gas infall and form new H ii regions in the inner region, but they might keep a memory of the local metal enrichment in the history, when the chemical enrichment could be frozen due to the star formation quenching. Thus, the inner region of M51 might still keep the relative poor metallicity and cause a positive metallicity gradient.

On the other hand, we also notice that the bulge of M51 is a so-called pseudobulge (Fisher & Drory 2010), which presents a near-exponential surface brightness profile, rotating motion, active star formation, nuclear bar, ring and/or spiral (Kormendy & Kennicutt 2004). The non-axisymmetric nuclear bar and spiral arms can drive the gas infall, facilitate the pseudobulge growth, and cause higher gas-phase extinction and active star formation in the inner region of M51 as shown in Figures 4 and 6. A rather chaotic distribution of dust lanes can be found in high-resolution images of the central region of M51 taken by the Hubble Space Telescope, which also indicates that M51 is transporting gas to the nucleus (Grillmair et al. 1997). The gas inflow into the galactic center might dilute the metallicity and hence form a positive gradient. Another possible reason for the inner drop is the interaction between M51 and NGC 5195, which might also induce the gas inflow and the radial mixing.

5. Summary

Nearby galaxies are ideal laboratories for understanding the galaxy formation and evolution in great details. M51 is undergoing the gravitational interaction with its companion of NGC 5195 at the distance of about 7.9 Mpc. It is an excellent object to investigate the spatial distributions of the physical properties and seek the possible clues of the formation and evolution for similar galaxies. There are substantial H ii regions across the whole galaxy of M51. As one of 20 large nearby spiral galaxies in our observing program (Kong et al. 2014), a large number of H ii regions of M51 have been observed by using the NAOC 2.16 m and 6.5 m MMT telescopes. A total of 113 spectra are obtained: 99 of them are from the long-slit spectrograph and the rest are the fiber spectra. Together with the literature data of Croxall et al. (2015), we derive the two-dimensional distributions and corresponding radial gradients of a series of physical properties and try to explore the possible evolution clues of this galaxy and the influence of the galactic interaction. Through the emission line measurements and spectral fitting, we obtain the gas-phase extinction, SFR surface density, stellar population age, oxygen abundance, and their corresponding spatial distributions. Some of the main points in this paper is summarized as follows:

  • (1)  
    There is a mild radial extinction gradient. The gas-phase extinction in the northern spiral arms that are close to NGC 5195 is lower than that of the southern arms. It might be related to the galactic interaction, which disperses the gas distribution in the area close to the companion.
  • (2)  
    M51 has a number of young H ii regions with age of 50–500 Myr, which is consistent with the recent close interaction history with NGC 5195. Similar to most spiral galaxies, M51 presents a mildly radial gradient of the SFR surface density.
  • (3)  
    Three spectra for NGC 5195 are obtained in its bulge and disk. It is presented that NGC 5195 is an old galaxy with average age of about 10 Gyr and no recent star formation occurs in this galaxy.
  • (4)  
    There is a radial negative gradient of gas-phase metallicity in the disk of M51 (−0.08 dex ${R}_{e}^{-1}$). The age distribution and the radial negative gradient supports the "inside-out" galaxy growth. There is no clear evidence that the metallicity gradient is flattened by the galactic interaction.
  • (5)  
    There is a positive metallicity slope in the inner region, which include the bulge and surrounding star-forming ring. This metallicity drop might be caused by the freezing of the chemical enrichment due to the star-forming quenching in the bulge-dominated inner region. Another possible reason is the growth of the pseudobulge and/or galactic interaction, which might induce the gas infall and dilute the metallicity in the center.

We thank the anonymous referee for his/her thoughtful comments and insightful suggestions that improve our paper greatly. This work is supported by the Xinjiang Natural Science Foundation (No. 2020D01B59) and Major Program of National Natural Science Foundation of China (No. 11890691). This work is supported by the National Key R&D Program of China (973 Program; grant No. 2017YFA0402600), the National Natural Science Foundation of China (NSFC, grant Nos. 11673027, 11733007, 11973038, 11320101002, 11421303, 11890693), and the External Cooperation Program of Chinese Academy of Sciences (grant No. 114A11KYSB20160057). This work uses the observational time of the 2.16 m telescope at the Xinglong station of the National Astronomical Observatories of China and the observational time of the MMT telescope obtained via the Telescope Access Program (TAP), which is funded by the National Astronomical Observatories of China, the Chinese Academy of Sciences (the Strategic Priority Research Program, "The Emergence of Cosmological Structures" grant No. XDB09000000), and the Special Fund for Astronomy from the Ministry of Finance. The 2.16 m telescope is jointly operated and administrated by the National Astronomical Observatories of China and Center for Astronomical Mega-Science, Chinese Academy of Sciences.

Appendix: Physical Properties of H ii regions in M51

We present the physical properties derived from the observed spectra in this paper, which is shown in Table A1. This table contains the emission line measurements and corresponding derivatives. For more information, we can refer to Section 3.

Table A1.  Emission-line Measurements and Spectral Properties

ID R.A. Decl. R/R25 [O iii] Hα [N ii] Hβ EW(Hα) $E(B-V)$ 12+log(O/H) ΣSFR $\mathrm{log}(\mathrm{age})$
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13)
1 13:30:1.318 47:12:49.427 0.341   2.942 1.087 1553.557 89.963 0.434   0.238 8.887
          0.017 0.008 24.614 0.513 0.016      
2 13:30:0.974 47:13:3.463 0.357 0.086 2.885 0.900 823.109 80.628 0.134 8.653 0.124 8.450
        0.004 0.008 0.004 9.541 0.217 0.011 0.005    
3 13:30:0.626 47:13:17.758 0.379 0.146 2.874 1.021 433.346 51.129 0.075 8.616 0.065 8.359
        0.006 0.016 0.009 6.993 0.278 0.016 0.004    
4 13:30:0.260 47:13:32.741 0.406 0.108 2.871 0.967 390.016 54.416 0.058 8.638 0.058 7.398
        0.006 0.007 0.004 4.418 0.129 0.011 0.006    
5 13:29:59.634 47:13:58.326 0.458 0.139 2.913 1.159 6142.437 253.225 0.282 8.631 0.933 7.110
        0.002 0.009 0.004 68.908 0.785 0.011 0.002    
6 13:30:1.403 47:12:45.939 0.337 0.126 3.010 1.141 2701.989 136.221 0.787 8.635 0.424 7.245
        0.009 0.023 0.009 58.961 1.056 0.022 0.007    
7 13:30:1.014 47:13:1.924 0.355 0.089 2.921 0.871 1335.628 98.341 0.327 8.646 0.204 7.205
        0.006 0.011 0.004 22.093 0.379 0.016 0.007    
8 13:30:0.707 47:13:14.408 0.374 0.217 2.912 1.063 603.281 61.893 0.278 8.582 0.092 8.330
        0.008 0.016 0.008 15.570 0.344 0.025 0.004    
9 13:30:0.531 47:13:21.535 0.385 0.472 2.914 1.217 245.681 22.338 0.287 8.522 0.037 6.913
        0.024 0.033 0.022 12.876 0.252 0.051 0.007    
10 13:30:0.311 47:13:30.654 0.402 0.197 2.905 1.021 687.594 62.071 0.242 8.587 0.104 6.976
        0.006 0.012 0.006 9.451 0.262 0.014 0.003    
11 13:29:59.634 47:13:58.326 0.458 0.143 2.944 1.084 11208.229 329.473 0.449 8.621 1.721 8.005
        0.002 0.019 0.007 141.557 2.130 0.014 0.002    
12 13:29:44.879 47:09:27.650 0.471   2.967 1.117 550.305 82.368 0.569   0.085  
          0.036 0.017 36.247 0.987 0.064      
13 13:29:44.491 47:09:57.670 0.407 0.131 2.908 0.873 1489.537 126.645 0.256 8.610 0.226 7.772
        0.002 0.007 0.003 14.316 0.308 0.010 0.002    
14 13:29:44.165 47:10:23.048 0.362 0.107 2.940 1.012 22199.240 671.499 0.427 8.641 3.405 6.871
        0.004 0.031 0.009 446.091 7.158 0.022 0.004    
15 13:29:43.206 47:11:37.137 0.310 0.154 2.913 0.918 1177.172 63.185 0.281 8.600 0.179 7.281
        0.007 0.010 0.005 22.354 0.211 0.018 0.005    
16 13:30:2.113 47:11:59.316 0.310   2.921 0.959 368.112 28.493 0.326   0.056 9.025
          0.013 0.008 8.436 0.130 0.022      
17 13:30:3.047 47:12:18.364 0.351   2.904 0.892 131.759 23.515 0.233   0.020 9.029
          0.013 0.008 3.151 0.103 0.023      
18 13:30:3.918 47:12:36.216 0.396   2.898 1.024 137.162 27.585 0.201   0.021 8.755
          0.011 0.007 2.692 0.109 0.019      
19 13:30:5.127 47:13:0.949 0.463   2.962 0.903 1366.686 140.693 0.543   0.211  
          0.027 0.010 55.393 1.267 0.039      
20 13:30:5.896 47:13:16.646 0.508   2.926 0.868 639.684 129.887 0.351   0.098  
          0.010 0.004 41.428 0.452 0.062      
21 13:30:6.932 47:13:37.850 0.571   2.925 1.192 153.572 63.189 0.347   0.023  
          0.049 0.028 8.675 1.061 0.056      
22 13:29:44.689 47:12:28.622 0.298   2.962 1.155 720.355 93.450 0.540   0.111  
          0.056 0.026 32.720 1.779 0.047      
23 13:29:46.362 47:12:32.866 0.258 0.155 2.906 0.983 1004.989 98.683 0.244 8.606 0.152 8.869
        0.008 0.015 0.006 15.312 0.498 0.015 0.005    
24 13:29:47.560 47:12:35.887 0.233   2.903 0.704 638.925 68.805 0.230   0.097 7.079
          0.026 0.011 15.108 0.606 0.024      
25 13:29:49.347 47:12:40.432 0.206 0.001 2.986 1.080 6499.730 307.407 0.664   1.012 9.420
          0.028 0.010 279.806 2.867 0.042      
26 13:29:50.354 47:12:43.014 0.197 0.139 2.934 0.713 1322.978 94.027 0.392 8.585 0.202 9.105
        0.007 0.035 0.015 27.473 1.125 0.023 0.005    
27 13:29:51.083 47:12:44.854 0.194   2.965 1.023 1841.999 123.719 0.557   0.285 9.713
          0.026 0.011 45.989 1.068 0.025      
28 13:29:52.295 47:12:47.917 0.195 0.092 2.904 0.806 1350.585 177.085 0.236 8.636 0.205 8.667
        0.004 0.016 0.006 17.255 0.983 0.013 0.004    
29 13:29:45.026 47:13:30.791 0.412   2.977 1.189 3051.277 266.865 0.617   0.474  
          0.054 0.021 157.654 4.818 0.052      
30 13:29:47.109 47:13:40.363 0.399 0.453 2.889 1.067 690.511 76.383 0.154 8.514 0.104 6.521
        0.016 0.025 0.011 16.485 0.656 0.024 0.004    
31 13:29:50.629 47:09:23.297 0.419   2.983 1.020 1064.178 61.779 0.648   0.166 7.941
          0.027 0.013 42.680 0.551 0.039      
32 13:29:50.500 47:09:48.318 0.346   2.987 0.795 3885.289 306.589 0.669   0.605  
          0.032 0.009 148.490 3.306 0.038      
33 13:29:50.211 47:10:45.049 0.188   2.953 0.466 1136.890 67.431 0.491   0.175 9.460
          0.030 0.010 75.436 0.680 0.064      
34 13:29:44.762 47:09:59.469 0.398 0.110 2.936 0.910 3401.850 102.866 0.403 8.629 0.521 6.541
        0.006 0.013 0.005 41.733 0.468 0.012 0.005    
35 13:29:43.868 47:10:23.378 0.369 0.080 2.918 1.035 2115.448 206.212 0.307 8.672 0.322 6.406
        0.003 0.027 0.010 41.355 1.895 0.021 0.004    
36 13:29:42.858 47:10:50.267 0.354   2.934 0.799 664.662 52.532 0.394   0.102 7.867
          0.033 0.015 24.363 0.592 0.036      
37 13:29:41.993 47:11:13.421 0.359   2.971 0.925 1043.371 85.908 0.589   0.162 6.888
          0.031 0.013 33.942 0.904 0.032      
38 13:29:39.272 47:08:41.315 0.688 0.439 2.953 1.110 3466.517 487.261 0.492 8.519 0.534  
        0.013 0.031 0.010 161.828 5.145 0.045 0.005    
39 13:29:37.156 47:09:45.832 0.609 0.164 2.967 1.250 2137.881 286.519 0.567 8.621 0.331  
        0.015 0.062 0.024 179.446 6.035 0.082 0.012    
40 13:29:43.876 47:10:23.982 0.367 0.072 2.924 0.988 2434.352 230.308 0.342 8.677 0.371 6.497
        0.002 0.021 0.008 35.717 1.639 0.015 0.003    
41 13:29:48.025 47:10:30.862 0.260   2.936 1.035 349.008 41.773 0.407   0.053 9.264
          0.026 0.015 21.298 0.365 0.058      
42 13:29:50.826 47:10:35.504 0.208   2.919 0.836 284.159 35.640 0.316   0.043 9.326
          0.021 0.013 14.807 0.259 0.050      
43 13:29:53.108 47:10:39.322 0.189   2.950 0.889 586.697 27.272 0.476   0.090 8.868
          0.011 0.008 17.782 0.101 0.029      
44 13:29:55.184 47:10:42.741 0.197   2.992 1.609 1053.441 33.853 0.697   0.164 9.387
          0.021 0.015 71.388 0.239 0.065      
45 13:29:56.781 47:10:45.406 0.218   3.008 0.924 2256.569 58.309 0.776   0.354 8.706
          0.011 0.006 57.247 0.208 0.024      
46 13:30:0.959 47:09:29.408 0.484 0.148 2.881 1.247 1630.106 279.099 0.112 8.632 0.245 8.529
        0.007 0.022 0.009 60.678 2.171 0.036 0.006    
47 13:30:2.091 47:09:46.368 0.467 0.186 2.914 1.092 1106.449 332.863 0.286 8.598 0.168 6.538
        0.004 0.017 0.006 24.232 1.894 0.022 0.003    
48 13:30:2.900 47:09:58.576 0.459 0.158 2.914 1.118 1573.680 244.229 0.289 8.616 0.239 6.306
        0.011 0.020 0.007 40.949 1.675 0.025 0.007    
49 13:30:4.585 47:10:23.804 0.457 0.443 2.979 1.165 2033.249 248.794 0.631 8.521 0.316  
        0.077 0.103 0.039 220.600 8.594 0.108 0.020    
50 13:30:0.959 47:09:29.408 0.484 0.140 2.761 1.268 1895.726 481.286   8.643 0.273  
        0.006 0.019 0.007 76.012 3.320 0.039 0.005    
51 13:30:1.956 47:09:44.390 0.468 0.185 2.907 1.225 1113.187 406.040 0.254 8.609 0.169 7.594
        0.003 0.024 0.009 29.632 3.375 0.026 0.003    
52 13:30:2.812 47:09:57.244 0.460 0.227 2.890 1.264 2136.803 292.724 0.162 8.594 0.322 6.823
        0.005 0.021 0.008 48.534 2.092 0.023 0.003    
53 13:30:5.116 47:10:31.796 0.460   2.923 1.322 692.242 256.869 0.338   0.106  
          0.078 0.035 71.218 6.887 0.101      
54 13:30:5.804 47:10:42.096 0.467   2.939 0.793 684.261 117.833 0.421   0.105  
          0.063 0.027 49.141 2.513 0.071      
55 13:30:3.475 47:09:37.840 0.516 0.408 2.917 1.188 750.475 184.806 0.303 8.533 0.114  
        0.018 0.027 0.011 19.527 1.680 0.026 0.005    
56 13:30:3.376 47:09:54.292 0.479 0.265 2.946 1.068 752.139 90.336 0.459 8.562 0.116 8.304
        0.016 0.029 0.013 26.724 0.875 0.035 0.007    
57 13:30:3.274 47:10:11.815 0.442   2.943 1.026 416.521 98.427 0.441   0.064 10.003
          0.034 0.014 40.861 1.141 0.094      
58 13:30:2.322 47:14:7.911 0.529 0.636 2.933 1.283 1304.002 145.787 0.389 8.498 0.200  
        0.033 0.058 0.027 132.318 2.891 0.098 0.011    
59 13:29:52.936 47:11:30.079 0.038 0.226 3.031 0.938 3476.111 15.156 0.894 8.563 0.550 9.455
        0.019 0.020 0.016 197.418 0.101 0.054 0.010    
60a 13:29:53.236 47:11:41.106 0.018 1.807 3.026 6.841 2585.291 5.713 0.868 8.554 0.408 9.676
        0.045 0.031 0.038 200.606 0.058 0.074 0.008    
61 13:29:53.569 47:11:53.274 0.042   2.988 1.185 1711.401 15.184 0.674   0.267 9.376
          0.015 0.011 87.832 0.076 0.049      
62 13:29:54.064 47:12:11.552 0.096   2.903 0.623 1312.535 81.076 0.229   0.199 9.870
          0.027 0.010 44.247 0.766 0.033      
63 13:29:54.675 47:12:34.019 0.165   2.965 0.598 1249.179 65.953 0.554   0.193  
          0.049 0.019 88.499 1.082 0.069      
64 13:30:6.746 47:11:23.171 0.463   2.880 1.024 1203.968 263.298 0.109   0.181  
          0.282 0.103 270.323 25.733 0.232      
65 13:30:6.987 47:11:35.297 0.467   2.897 0.932 1031.370 166.016 0.197   0.156  
          0.060 0.021 65.357 3.442 0.063      
66 13:30:8.492 47:12:50.718 0.549   2.940 0.862 1424.019 133.896 0.428   0.218  
          0.035 0.013 136.055 1.578 0.091      
67 13:29:58.802 47:09:12.242 0.493 0.261 2.958 1.125 1310.088 92.598 0.519 8.568 0.202 8.187
        0.012 0.022 0.010 56.322 0.702 0.041 0.006    
68 13:29:54.250 47:09:23.365 0.418 0.590 2.949 1.693 235.730 38.776 0.472 8.530 0.036 9.609
        0.045 0.041 0.026 15.722 0.534 0.065 0.009    
69 13:29:49.761 47:10:40.805 0.206   2.874 0.661 228.848 65.277 0.073   0.034 8.434
          0.025 0.010 9.173 0.566 0.039      
70 13:30:6.877 47:12:26.095 0.477 0.466 2.925 1.208 551.844 94.427 0.344 8.521 0.084  
        0.023 0.029 0.014 34.419 0.925 0.060 0.007    
71 13:30:5.002 47:13:8.036 0.470 0.373 2.923 1.420 453.477 65.801 0.337 8.558 0.069  
        0.017 0.012 0.007 21.479 0.268 0.045 0.006    
72 13:30:4.684 47:13:1.087 0.451   2.942 1.409 796.267 70.970 0.437   0.122  
          0.047 0.025 52.773 1.128 0.065      
73 13:30:1.959 47:13:22.798 0.420 0.665 2.915 1.294 449.785 58.531 0.292 8.495 0.068 9.072
        0.035 0.054 0.031 32.993 1.086 0.072 0.009    
74 13:30:0.355 47:13:35.584 0.414 0.263 2.927 1.163 872.811 57.987 0.359 8.571 0.133 8.307
        0.018 0.017 0.009 28.582 0.346 0.032 0.007    
75 13:29:58.678 47:13:48.932 0.420 0.142 2.896 1.170 1094.139 143.473 0.193 8.630 0.165 8.806
        0.008 0.022 0.009 28.989 1.099 0.026 0.006    
76 13:29:57.902 47:13:55.098 0.426 0.113 2.894 1.180 748.891 133.163 0.181 8.652 0.113 6.828
        0.008 0.034 0.015 24.864 1.574 0.033 0.007    
77 13:29:57.129 47:14:1.251 0.434 0.194 2.905 1.235 548.942 91.334 0.239 8.606 0.083 8.134
        0.011 0.037 0.018 23.734 1.170 0.043 0.007    
78 13:29:56.356 47:14:7.444 0.445 0.223 2.897 1.219 492.534 113.638 0.199 8.592 0.074  
        0.019 0.039 0.018 34.399 1.538 0.068 0.011    
79 13:29:51.416 47:11:59.316 0.066   2.987 0.633 2510.877 43.190 0.671   0.391 8.381
          0.026 0.012 140.849 0.370 0.054      
80 13:29:55.312 47:11:41.285 0.085 0.126 2.939 0.638 1873.356 75.878 0.419 8.583 0.287 7.608
        0.006 0.013 0.005 29.717 0.325 0.016 0.005    
81 13:29:54.543 47:12:1.225 0.081   2.938 0.476 2294.173 85.862 0.417   0.352 6.636
          0.019 0.006 43.555 0.559 0.019      
82 13:29:54.012 47:12:14.944 0.104   2.892 0.506 1539.194 161.937 0.171   0.232 6.569
          0.017 0.004 22.943 0.937 0.015      
83 13:29:53.060 47:12:39.595 0.170   2.952 0.662 5821.643 322.414 0.489   0.896  
          0.035 0.009 174.125 3.783 0.031      
84 13:29:52.625 47:12:50.828 0.203 0.195 2.974 1.831 2741.855 127.118 0.602 8.640 0.425 6.690
        0.022 0.125 0.179 127.577 5.345 0.060 0.015    
85 13:29:59.370 47:10:43.181 0.283   2.881 0.827 199.402 40.761 0.114   0.030  
          0.085 0.042 17.899 1.196 0.090      
86 13:29:52.053 47:11:37.357 0.026 0.308 3.012 1.234 3654.845 16.098 0.797 8.560 0.574 9.347
        0.020 0.012 0.009 175.295 0.065 0.046 0.007    
87 13:29:49.087 47:11:59.316 0.129   2.994 0.828 3401.924 121.463 0.706   0.531  
          0.033 0.011 305.322 1.321 0.086      
88 13:29:58.275 47:14:8.694 0.467   2.906 0.974 1355.002 140.732 0.245   0.205  
          0.036 0.013 81.642 1.760 0.058      
89 13:29:55.726 47:14:1.251 0.422 0.188 2.928 1.080 2022.547 124.729 0.361 8.596 0.309 7.569
        0.012 0.031 0.013 58.822 1.317 0.029 0.007    
90 13:29:52.544 47:13:51.953 0.385   2.907 1.016 428.078 70.205 0.251   0.065 7.277
          0.026 0.012 18.402 0.624 0.042      
91 13:29:47.131 47:13:36.161 0.387 0.142 2.928 0.980 746.196 59.876 0.364 8.612 0.114 6.934
        0.011 0.022 0.011 22.033 0.447 0.029 0.008    
92 13:29:56.323 47:14:10.713 0.454 0.686 2.903 1.292 371.324 91.463 0.228 8.493 0.056  
        0.038 0.059 0.030 25.222 1.870 0.067 0.009    
93 13:29:55.437 47:14:8.488 0.441 0.424 2.904 1.348 288.190 79.253 0.236 8.542 0.044  
        0.030 0.040 0.020 22.310 1.082 0.075 0.010    
94 13:29:50.541 47:13:56.032 0.405 0.298 2.914 1.130 1018.263 148.560 0.287 8.557 0.155  
        0.016 0.038 0.015 46.249 1.938 0.045 0.007    
95 13:29:47.567 47:13:48.465 0.414 0.360 2.911 1.164 464.696 96.794 0.274 8.543 0.071  
        0.025 0.047 0.022 32.692 1.552 0.068 0.010    
96 13:29:46.252 47:13:45.156 0.425 0.394 2.865 1.082 754.867 237.374 0.026 8.529 0.113  
        0.012 0.039 0.014 25.828 3.249 0.035 0.005    
97a 13:29:52.698 47:11:42.617 0.001 3.168 2.915 5.522 2728.201 8.477 0.294 8.485 0.415 9.129
        0.030 0.013 0.015 95.252 0.037 0.033 0.003    
98 13:29:54.712 47:11:58.629 0.080   2.925 0.570 1961.074 85.061 0.348   0.299 8.409
          0.018 0.007 55.911 0.533 0.028      
99a 13:29:52.698 47:11:42.617 0.001 4.702 3.063 6.917 19719.426 10.870 1.058 8.465 3.151 9.568
        0.061 0.016 0.020 1608.681 0.057 0.078 0.008    
100 13:30:4.464 47:12:17.279 0.395   2.943 0.015 258.615 21.566 0.439   0.040 8.327
          0.024   11.683 0.173 0.043      
101 13:30:7.379 47:11:29.255 0.481   2.914 1.010 141.177 24.420 0.288   0.021 6.681
          0.059 0.031 10.425 0.498 0.073      
102 13:30:8.280 47:12:49.963 0.542 0.321 2.928 1.257 214.433 26.029 0.362 8.560 0.033 6.833
        0.031 0.038 0.022 12.358 0.339 0.056 0.011    
103 13:30:1.117 47:11:39.335 0.274 0.068 2.983 0.776 2767.862 57.473 0.649 8.658 0.431 8.297
        0.005 0.015 0.005 40.883 0.283 0.015 0.007    
104 13:29:50.819 47:09:18.394 0.432 0.497 2.947 1.105 156.914 13.075 0.461 8.507 0.024 8.272
        0.043 0.035 0.024 9.190 0.156 0.057 0.010    
105 13:29:53.701 47:08:38.541 0.549 0.285 2.873 1.114 178.119 96.303 0.069 8.561 0.027 6.734
        0.024 0.064 0.025 12.114 2.160 0.068 0.010    
106 13:29:44.304 47:09:58.178 0.410 0.135 2.894 0.874 1015.928 109.280 0.181 8.608 0.153 7.208
        0.007 0.020 0.007 23.571 0.772 0.023 0.005    
107 13:29:49.885 47:11:43.551 0.092 0.150 3.012 0.638 1593.361 20.881 0.800 8.565 0.250 9.254
        0.017 0.016 0.008 71.903 0.114 0.043 0.011    
108 13:29:51.830 47:12:58.038 0.227 0.211 2.967 0.685 363.291 18.167 0.564 8.541 0.056 8.671
        0.019 0.023 0.012 13.992 0.138 0.037 0.009    
109 13:29:38.796 47:12:12.349 0.464   2.947 1.137 86.684 14.268 0.463   0.013  
          0.068 0.042 9.764 0.327 0.109      
110 13:29:46.681 47:12:32.509 0.249 0.118 2.948 0.830 729.011 38.824 0.465 8.614 0.112 8.443
        0.014 0.019 0.008 22.820 0.255 0.030 0.012    
111 13:30:1.260 47:13:41.159 0.445 0.507 2.929 1.429 209.164 19.784 0.369 8.530 0.032 6.781
        0.039 0.032 0.021 11.255 0.213 0.052 0.009    
112 13:30:2.161 47:12:56.994 0.376 0.252 2.924 1.093 502.357 30.281 0.340 8.569 0.077 8.681
        0.015 0.020 0.010 19.931 0.205 0.038 0.007    
113 13:30:6.731 47:14:20.010 0.648 0.326 2.934 0.846 191.527 11.331 0.394 8.522 0.029 6.995
        0.021 0.024 0.016 5.679 0.094 0.029 0.007    

Notes. (1): object number. (2)–(3): equatorial coordinate (J2000). (4): scaled galactocentric distance, where R is the galactocentric distance and R25 is the apparent major isophotal radius. (5)–(7): relative fluxes of [O iii]λ5007, [N ii]λ6583 and Hα that are normalized to the Hβ flux. (8): Hβ flux in unit of ${10}^{-17}\,\mathrm{erg}\,{{\rm{s}}}^{-1}\,{\mathrm{cm}}^{-2}$. (9): equivalent width of Hα line in Å. (10): gas-phase reddening in mag. (11): metallicity in dex. (12): SFR density in ${M}_{\odot }\,{\mathrm{yr}}^{-1}\,{\mathrm{kpc}}^{-2}$. (13): logarithmic stellar age in year. Each row is followed by another row presenting the error.

aAGN region.

Download table as:  ASCIITypeset images: 1 2 3 4

Footnotes

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10.1088/1538-3873/ab9d92