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A New Microquasar Candidate in M83

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Published 2020 January 14 © 2020. The American Astronomical Society. All rights reserved.
, , Citation Roberto Soria et al 2020 ApJ 888 103 DOI 10.3847/1538-4357/ab5b0c

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0004-637X/888/2/103

Abstract

Microquasars are neutron star or black hole X-ray binaries with jets. These jets can create bubbles of hot plasma shock ionized that can masquerade as peculiar supernova remnants (SNRs) in extragalactic surveys. To see if this is the case in the well-studied spiral galaxy M83, where one microquasar candidate (M83-MQ1) has already been identified, we studied the properties of nine SNR candidates, selected because of their elongated or irregular morphology, from the set of previously identified SNRs in that galaxy. Using multiwavelength data from Chandra, the Hubble Space Telescope, Gemini, and the Australia Telescope Compact Array, we found that at least six of our nine sources are best interpreted as SNRs. For one source, we do not have enough observational data to explain its linear morphology. Another source shows a nebular optical spectrum dominated by photoionization by O stars, but its excess [Fe ii] and radio luminosity suggest a possible hidden SNR. Finally, one source (S2) shows an elongated structure of ionized gas, two radio sources along that line, and an accretion-powered X-ray source in between them (the Chandra source L14-139). While S2 could be a chance alignment of multiple SNRs and one X-ray binary, it seems more likely that it is a single physical structure powered by the jet from the accreting compact object. In the latter case, the size and luminosity of S2 suggest a kinetic power of ∼1040 erg s−1, in the same class as the most powerful microquasars in the local universe (e.g., S26 in NGC 7793 and SS 433 in our own Galaxy).

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1. Introduction

Jets and collimated outflows are increasingly recognized as fundamental components of energy transport in accretion processes at all scales, from active galactic nucleus (AGN) and quasars (Fabian 2012; Nemmen et al. 2012) to stellar-mass compact objects (Fender & Gallo 2014), from tidal disruption events (Burrows et al. 2011) to kilonovae (Tanvir et al. 2013) and gamma-ray bursts (Kumar & Zhang 2015). The mechanical power carried by jets can alter the ambient medium on scales of hundreds of parsecs around stellar-mass compact objects, or hundreds of kiloparsecs around supermassive black holes. Mechanical power generated by accretion may have blown away the gas and quenched star formation in the early phases of evolution of the most massive galaxies (Somerville et al. 2008); it heats the diffuse gas in elliptical galaxies, groups, and clusters (McNamara & Nulsen 2012); more locally, it creates large bubbles of ionized gas around ultraluminous X-ray sources (Pakull & Grisé 2008).

Supernova remnants (SNRs), and more generally, radio/optical bubbles classified as candidate SNRs in extragalactic surveys are one class of astrophysical sources where the presence and effect of jets has only recently begun to be noticed and investigated. Morphological studies of young SNRs in the Milky Way and Magellanic Clouds have shown that ≈30%–40% of them have "ears," defined as a pair of protrusions or lobes sticking out of the main SNR shells in opposite directions (Grichener & Soker 2017). (This estimate takes into account the number of cases that have actually been observed, corrected for the additional unobservable fraction of cases in which the ears would be pointing along our line of sight.) Such features are usually telltale signs of currently or recently active jets. The kinetic energy of the gas in the ears is ≈5%–15% of the total kinetic energy of the SNR shell (Grichener & Soker 2017).

There are several possible origins for such protrusions, depending on whether jets operated before, during, or after the core-collapse event. The first possibility is that the circumstellar medium (CSM) before the explosion already contained an elongated lower-density cavity or lobes, produced by jets from a high-mass X-ray binary (consisting of a neutron star or black hole receiving gas from a massive donor star) before the core collapse of the donor star in the system. The second possibility is that a substantial fraction of supernovae (SNe) produce jets. It is already well established that gamma-ray bursts are associated with Type-Ic SNe (e.g., Woosley et al. 1999; MacFadyen et al. 2001; Berger et al. 2003; Matzner 2003; Lamb et al. 2005; Mazzali et al. 2008; Bucciantini et al. 2009). Other types of SNe may also produce jets (Grichener & Soker 2019). A third possibility is that some shock-ionized bubbles in young environments of nearby galaxies have been mistakenly classified as SNRs, when they are in fact entirely generated by jets and winds of an accreting compact object (e.g., S26 in NGC 7793: Pakull et al. 2010); we will use the term "microquasar" for this type of system, powered either by a stellar-mass black hole or by a neutron star.

Some systems may display a combination of SNR and microquasar features: that is, the jet-like features are imprinted onto an SNR shell at later stages, inflated by the jets of an X-ray binary or a pulsar formed after the explosion. For example, this is the most common interpretation for the Galactic source SS 433/W50, in which the jet lobes powered by the microquasar SS 433 stick out of the W50 SNR (Dubner et al. 1998; Fabrika 2004; Brinkmann et al. 2007; Goodall et al. 2011; Farnes et al. 2017).

Finally, the irregular, bilateral, or elongated morphology of some SNRs may be due entirely to the combined effects of stellar winds and proper motion of the progenitor, which compress the circumstellar gas and magnetic field preferentially in one direction, producing a stellar bow shock. Three-dimensional magnetohydrodynamic simulations predict that this compression effect will then determine the morphology and radiative properties of the subsequent supernova (SN) shock wave (Zhang et al. 2018).

Distinguishing between normal SNRs that expand in an inhomogeneous medium, elongated SNRs caused by jetted SNe, and shock-ionized microquasar bubbles provides important tests for our theoretical understanding of SNe and of accretion physics. A census of jet signatures in young Galactic SNRs and shock-ionized nebulae is hampered by the limited number of such sources in the Milky Way, and our edge-on view of the Galactic disk. At the other extreme, lack of spatial resolution in galaxies at ≳10 Mpc hampers imaging studies of candidate SNRs.

The grand-design spiral galaxy M83 is one of the best targets for morphological studies of young SNRs. Located a distance of 4.6 Mpc (Saha et al. 2006) (angular scale: 1'' ≈ 22 pc), it is almost face-on (i ≈ 24°: Talbot et al. 1979) and it lies along a line of sight with very low optical extinction (AV ≈ 0.18 mag, corresponding to an absorbing column density NH ≈ 4 × 1020 cm−2: Kalberla et al. 2005; Schlafly & Finkbeiner 2011). Its high star formation rate (between 3 and 5 M yr−1: Boissier et al. 2005) has created a wealth of young SNRs, with six SNe observed in the last century (Stockdale et al. 2006 and references therein).

We are conducting a wide-ranging investigation of the stellar birth and death cycle in M83, using X-ray, optical, and radio observations (as detailed in Section 2). More than 300 SNRs and SNR candidates have been identified in our survey, from narrow-band imaging studies with the Magellan Telescope (Blair et al. 2012) and with the Hubble Space Telescope (HST) (Dopita et al. 2010; Blair et al. 2014). Follow-up spectroscopic studies of many of those candidates have been carried out with the Gemini telescope Winkler et al. (2017). See also Williams et al. (2019) for the most updated list of SNRs in M83 and the properties of their stellar progenitors. About one-third of the optical SNRs have been detected with the Chandra X-ray Observatory (Long et al. 2014), and about one-fourth have a radio counterpart detected with the Australia Telescope Compact Array (ATCA; Long et al. 2014; T. D. Russell et al. 2020, in preparation).

In the course of searching for SNRs in M83, we (Soria et al. 2014) found an object, hereafter MQ1, with exceptionally strong radio luminosity (flux density of ≈1.8 mJy at 5.5 GHz, corresponding to a luminosity of ≈2 × 1035 erg s−1) and an elevated [S ii]/Hα line ratio, associated with a bipolar structure (core and two lobes). The X-ray properties of the core (in particular, its disk-blackbody spectrum and the correlated variability between luminosity and peak disk temperature) are consistent with an accreting compact object. Thus, we argued that MQ1 is a candidate microquasar, in the same class as SS 433 and NGC 7793-S26. Based on the optical line luminosity, we estimated a mechanical power of Pkin ≈ 1040 erg s−1.

Here we present a detailed multiband study of a sample of SNR candidates in M83, selected for their peculiar (irregular or elongated) morphology. We also investigate whether any of those sources is a microquasar bubble, by analogy with the properties of MQ1. Our paper is organized as follows: in Section 2, we describe the archival and new data we use for this study and the selection of nine SNR candidates whose properties we analyze in the remainder of the paper. In Section 3, we present our results, summarizing the multiband properties of the various candidates. We also update the properties of MQ1, taking into account data that were obtained since the publication of Soria et al. (2014). In Section 4, we discuss the results, concluding that we have found a second microquasar candidate, and that one of the other objects is probably neither an SNR nor a microquasar, but instead, a particularly luminous H ii region. Finally, in Section 5, we summarize our conclusions.

2. Methods

2.1. Observations Used in This Study

UV/optical/infrared bands. Blair et al. (2014) and Dopita et al. (2010) carried out HST Wide Field Camera 3 (WFC3) imaging to search for SNRs in M83. The galaxy was covered by a mosaic of seven WFC3 fields, which were imaged in nine narrow-band and broadband filters. The first two fields (including the nuclear region) were observed in 2009 August and 2010 March (ID 11360; PI: R. O'Connell) and the other five were observed from 2012 July to 2012 September (ID 12513; PI: W. P. Blair). We refer the readers to Blair et al. (2014) for the details on the WFC3 observational setup (e.g., orientation of the seven fields, set of filters used for the survey, and exposure times). The HST imaging survey was combined with a ground-based imaging survey (Blair et al. 2012) with the Inamori Magellan Areal Camera and Spectrograph on the 6.5 m Magellan telescope; and by follow-up spectrophotometric observations (Winkler et al. 2017) with the Gemini Multiobject Spectrograph (GMOS) on the 8.2 m Gemini-South telescope.

X-ray band. We observed M83 with the Advanced CCD Imaging Spectrometer (ACIS) on board the Chandra X-ray Observatory, with ten visits spaced between 2010 December 23 and 2011 December 28 (Observing Cycle 12), for a total of 729 ks; in all those observations, the target galaxy was placed on the back-illuminated ACIS-S3 chip. We refer to Long et al. (2014) for a comprehensive discussion of the Chandra/ACIS setup and its astrometric calibration. In addition, we integrated the 2010–2011 dataset with the ACIS-S observations of 2000 April 29 (51 ks; Cycle 1) and 2001 August 4 (10 ks; Cycle 2), which provide higher sensitivity to the softest energies.

Radio band. We mapped M83 with the ATCA, with three sets of observations: with 3 × 12 hr in 2011, 2015, and 2017. The data were recorded simultaneously at central frequencies of 5.5 and 9.0 GHz, with a bandwidth of 2 GHz at each frequency band. The 2011 and 2015 observations were taken with the telescope in its most extended 6 km configuration, while the 2017 observations were taken with the telescope in its more compact 1.5 km configuration. The more compact configuration provided more short baselines to increase the sensitivity of our final radio map to diffuse emission. See Long et al. (2014) for a preliminary report on the results based on the 2011 ATCA observations alone. A full presentation of the radio results is in preparation (T. D. Russell et al. 2020, in preparation).

2.2. Sample Selection

To create a list of objects for study, we inspected the images of SNRs in the HST data, looking for sources with distinct bipolar shape, hot spots, or other unusual asymmetrical morphology. At 4.6 Mpc, the 0farcs04 pixel scale of the WFC3-UVIS camera corresponds to just over 1 pc, providing excellent data for assessing the morphology of even the smallest objects expected to be of relevance. Based on this inspection, we selected nine objects for more detailed study, as listed in Table 1. This list is not necessarily exhaustive, as there are a number of other objects within the total SNR candidate sample in M83 that might also be considered as showing interesting and unusual morphologies. Here, we have chosen the clearest examples of SNRs and SNR candidates with peculiar morphologies in an attempt to understand the physical nature of such objects.

Table 1.  Nine Selected SNR Candidates with Peculiar Morphology and Comparison Jet Source MQ1

Source ID R.A. Decl. Cross-IDa
      X-ray Optical Radio
S1 13:36:50.85 −29:52:39.6 L14-63 W19-49, B12-45 L14-A12, M06-03
S2 13:36:55.56 −29:53:03.5 L14-139 W19-{112+114}, B12-{96+98}, BL04-24 L14-A39, M06-22
S3 13:36:59.33 −29:55:08.9 L14-183 W19-145, B12-122  
S4 13:36:59.50 −29:52:03.7 L14-186 W19-150, B12-124, D10-04 L14-A57
MQ1 13:37:01.12 −29:51:52.2 L14-237 W19-186, S14-MQ1, D10-N16 L14-A62
S5 13:37:01.73 −29:51:13.4 L14-256 W19-195, B12-143, D10-12, BL04-37
S6 13:37:02.12 −29:51:58.8   W19-199, B12-146, D10-14, BL04-39  
S7 13:37:03.44 −29:54:02.5   W19-207, B14-45, SL11-NGC 5236-2-530 L14-A72, M06-38
S8 13:37:06.03 −29:55:14.3 L14-310 W19-231, B12-169, BL04-46  
S9 13:37:11.87 −29:52:15.6 L14-358 W19-286, B12-209  

Note.

aW19 = Williams et al. (2019), B14 = Blair et al. (2014), L14 = Long et al. (2014), S14 = Soria et al. (2014), B12 = Blair et al. (2012), SL11 = Silva-Villa & Larsen (2011), D10 = Dopita et al. (2010), M06 = Maddox et al. (2006), BL04 = Blair & Long (2004).

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The list includes the two sources that were flagged as "worthy of special mention" by Dopita et al. (2010, their Section 3.1 and Table 2) because of their jet-like or bipolar morphology. Those two sources are listed as S5 and S6 in our Table 1 (presented in order of R.A.). Further out along the spiral arms, we identified two strong line emitters (S2 and S7 in our Table 1), with interesting elongated morphologies that appear to extend over ∼100 pc in length. We then selected five candidate SNRs with irregular morphology (S1, S3, S4, S8, and S9). Finally, for comparison, we also included the microquasar MQ1 in the table, which we reanalyzed in the same way as for the other nine sources. The spatial distribution of the selected objects projected on an Hα image of M83 is shown in Figure 1. Narrow-band and broadband HST images of the fields around each object are shown in Figures 24. Seven of the nine candidate SNRs have been detected in X-rays; those without a Chandra detection are S6 and S7.

Figure 1.

Figure 1. Finding chart for the nine candidate SNRs discussed in this paper (S1 through S9); the location of MQ1 is also plotted. The grayscale image is a continuum-subtracted HST/WFC3 image in the F657N filter; see Blair et al. (2014) for details. Note that several of the objects are clustered on the outskirts of the bright star-forming nuclear region.

Standard image High-resolution image
Figure 2.

Figure 2. Left panels: continuum-subtracted narrow-band HST/WFC3 images for candidate SNRs S1, S2, S3 (see Table 1 for identification), where red is F673N, green is F657N, and blue is F502N. Right panels: the same regions in WFC3 continuum bands, where red is F814W, green is F547M, and blue is F438W. In both sets of panels, red circles represent the centroid of the corresponding Chandra sources. The radius of the Chandra error circle is approximately corresponding to the relative astrometric uncertainty between optical and X-ray images: it is 0farcs3 for S1 and S2, and 0farcs5 for S3 (because L14-183 = S3 is a faint X-ray source several arcminutes from the ACIS aimpoint). The white contours show the combined 5.5 and 9 GHz ATCA radio emission; more specifically, contour levels represent flux densities of 2n/2 times the local rms noise level, with n = 3, 4, 5, etc. The cyan ellipses represent the ATCA beam for the stacked 5.5 GHz plus 9 GHz data: major axes are 1farcs45 × 0farcs77, and the position angle is 1fdg2. In the top left panel, the optical SNR B12-42 (Blair et al. 2012) is also visible, ≈4'' to the southwest of S1; in the middle left panel, the optical and radio SNR B12-91 is visible, ≈4'' to the southwest of S2.

Standard image High-resolution image
Figure 3.

Figure 3. Same as Figure 2, but for candidate SNRs S4, S5, and S6. For these three sources (located in Field 1 of our HST survey: Blair et al. 2014), the green color in the right-hand panels corresponds to the F555W filter (not F547M); red is F814W and blue is F438W. The radius of the red circles (positional uncertainty of the corresponding Chandra sources) is 0farcs3 for both S4 and S5; instead, S6 does not have a Chandra counterpart.

Standard image High-resolution image
Figure 4.

Figure 4. Same as Figure 2, but for candidate SNRs S7, S8, and S9. In the right panels, red is F814W, green is F547M, and blue is F438W. S7 has a Chandra source nearby (positional uncertainty of 0farcs3) but we argue that it is not directly associated with the strong radio source: this is why the red circle is dashed. S8 does have an associated Chandra source, with a positional uncertainty (radius of the red circle) of 0farcs5, because it was observed farther from the ACIS-S3 aimpoint. For S9, the radius of the Chandra error circle is 0farcs3.

Standard image High-resolution image

It is worth noting that what we define here as source S2 was identified by Blair et al. (2012) as two separate SNR candidates, B12-96 and B12-98. However, there is an elongated line-emission feature that connects the two optical sources (Figure 2), and there is a single, point-like Chandra counterpart (L14-139) located roughly in the middle between the two optical peaks. Therefore, for the purpose of this study, we consider the whole complex as a single astrophysical object with a peculiar, extended morphology.

It is also useful to clarify our definition of S7 (discussed in more details in Section 3.1). The field around this source contains a blue and a red star cluster separated by about 20 pc (Figure 4) along a north–south axis. The strong optical/IR line emission and radio emission coincide with the reddened star cluster, and that is what we define as the S7 source in our study. There is no X-ray source associated with the reddened star cluster; there is, instead, a Chandra source (consistent with an ordinary SNR) at the location of the blue cluster (dashed error circle in Figure 4) but that is not the object of this study.

2.3. Data Analysis

HST. Linear combinations of WFC3 broadband filter images were used to create rescaled continua, which were subtracted from the corresponding narrow-band images, as described in Blair et al. (2014). For this work, we used the continuum-subtracted images already prepared for that earlier study. We used the imaging and photometry tool ds9, to select source and background regions for our target objects, and extract the instrumental count rates. We used the PHOTFLAM parameter for the relevant filters in WFC3-UVIS and WFC3-IR detectors to convert from count rates to flux densities, and the filter widths listed in the WFC3 Instrument Handbook to convert to total fluxes in each (narrow) band.

Chandra. We downloaded and reprocessed the data from the Chandra archives, for all the ACIS observations. We used standard tasks within the Chandra Interactive Analysis of Observations version 4.10 (Fruscione et al. 2006). First, we reprocessed the data with chandra_repro. Then, we applied the merge_obs task, which reprojects all the data sets to the same tangent point and merges them, creating a coadded, exposure-corrected image. Filtered images in different energy bands were obtained with the task dmcopy. We used specextract to build spectra and response files individually from each observation and combine them into a merged spectrum, because the X-ray flux of typical SNRs is too faint for meaningful spectral analysis of individual observations.

ATCA. The ATCA radio observations were flagged and calibrated following standard procedures within MIRIAD (Sault et al. 1995). Flux and phase calibration were done using PKS 1934−638 and 1313-333, respectively. The data were then imaged within CASA (McMullin et al. 2007). To help minimize sidelobes from the bright central region, images were created with a Briggs robust parameter of −1. Individual images were created at each central frequency (5.5 and 9 GHz), where data from each epoch were stacked to provide the highest sensitivity at each observing band. We also created a single image including both frequency bands from all epochs to increase sensitivity (T. D. Russell et al. 2020, in preparation).

Gemini spectroscopy. Eight of the nine SNRs candidates studied in this work were observed with GMOS. We used the results published by Winkler et al. (2017). In the context of our present work, we obtain three important pieces of information from the Gemini results, which enhance and integrate the information provided by the HST images: (i) an estimate on the optical extinction, from the observed ratio of Hα and Hβ fluxes (assuming a theoretical intrinsic ratio of 2.86); (ii) a means to distinguish the fractional contributions of Hα and [N ii]λλ6548, 6584 to the combined emission imaged by the HST/WFC3-UVIS camera in the F657N filter; (iii) a constraint on the electron density of the ionized gas, from the flux ratio of the [S ii]λλ6716, 6731 doublet.

3. Results

3.1. Optical Line Fluxes and Luminosities

We measured the observed continuum-subtracted optical fluxes in the four HST/WFC3 narrow-band filters: F502N, F657N, F673N, and F164N (Table 2). For all sources except S7, the flux ratio between the F673N and F657N bands (proxy for the standard diagnostic ratio of [S ii]λλ6716, 6731/Hα) is between ≈0.2 and 0.5. S7 stands out with a much lower ratio of ≈0.07. This is consistent with the Gemini/GMOS spectral classification of S7 as a photoionized H ii region rather than a shock-ionized SNR (Winkler et al. 2017).

Table 2.  Observed Fluxes/Count Rates in Various Bands: Data from Chandra, HST, and ATCA

ID Count Rate (0.35–8 keV) ${F}_{[{\rm{O}}{\rm{III}}]}$ ${F}_{{\rm{H}}\alpha +[{\rm{N}}{\rm{II}}]}$ ${F}_{[{\rm{S}}{\rm{II}}]}$ ${F}_{[\mathrm{Fe}{\rm{II}}]}$ ${S}_{9\mathrm{GHz}}$ S5.5 GHz
  (10−3 ct s−1) (10−15 CGS) (10−15 CGS) (10−15 CGS) (10−15 CGS) (μJy beam−1) (μJy beam−1)
S1 0.154 ± 0.021 0.83 ± 0.08 3.8 ± 0.5 1.3 ± 0.1 0.50 ± 0.05 140 ± 18 200 ± 15
S2 0.455 ± 0.028 2.6 ± 0.9 23.6 ± 2.0 7.7 ± 1.1 71 ± 12 (East) 120 ± 20 (East)
            82 ± 12 (West) 130 ± 20 (West)
S3 0.186 ± 0.020 2.3 ± 0.2 3.1 ± 0.3 0.86 ± 0.08 0.29 ± 0.03 60 ± 10 59 ± 10
S4 0.327 ± 0.026 1.2 ± 0.1 5.1 ± 0.5 1.8 ± 0.2 0.40 ± 0.04 190 ± 20 280 ± 20
MQ1 1.823 ± 0.052 0.35 ± 0.04 5.2 ± 0.6 1.7 ± 0.3 4.4 ± 0.4 1000 ± 200 1800 ± 200
S5 0.234 ± 0.019 2.6 ± 1.0 8.0 ± 1.3 2.9 ± 0.7 0.81 ± 0.07 <80 82 ± 20
S6 <0.02 0.43 ± 0.28 4.3 ± 0.8 2.4 ± 0.5 0.4 ± 0.1 <90 110 ± 20
S7 <0.02 2.4 ± 0.9 50 ± 4 3.7 ± 1.2 1.2 ± 0.2 850 ± 15 1000 ± 15
S8 0.576 ± 0.030 1.2 ± 0.7 5.4 ± 1.2 1.7 ± 0.7 0.78 ± 0.08 52 ± 15 54 ± 10
S9 0.416 ± 0.025 1.7 ± 0.2 6.7 ± 0.6 1.4 ± 0.2 0.37 ± 0.04 <33 <48

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The F502N, F673N, and F164N bands are dominated by [O iii]λ5007, [S ii]λλ6716, 6731, and [Fe ii]λ1.64 μm, respectively. Determining the Hα luminosity from F657N is approximate, because that filter is also passes [N ii]λλ6548,6584. Whenever possible (i.e., for eight of our nine targets, see Table 3), the relative contributions from Hα and [N ii] can be directly measured from the Gemini/GMOS spectra and the actual Hα intensity determined (Winkler et al. 2017). For the shock-ionized objects, the Hα contribution varies between 0.23 and 0.53 times the flux in the F657N band; the average of those values is ≈0.40. A larger contribution of 0.59 is seen in S7: this is again consistent with its classification as a photoionized H ii region (although this value by itself does not rule out a shock-ionized SNR buried within the bright photoionized region).

Table 3.  Line Fluxes, Line Ratios, Densities, and Extinction from the Gemini Spectra

ID F[O iii] FHα FHα/FHβ F[S ii]/FHα ${F}_{{\rm{H}}\alpha }/{F}_{{\rm{H}}\alpha +[{\rm{N}}{\rm{II}}]}$ F6716/F6731 ne AV Ionization
  (10−15 CGS) (10−15 CGS)         (cm−3) (mag)  
S1 1.0 4.2 4.69 0.48 0.53 1.22 180 1.55 S
S2 1.6 5.6 6.67 0.81 0.44 1.33 84 2.66 S
S3 2.2 1.4 4.76 0.69 0.46 1.17 240 1.60 S
S4 0.66 0.73 5.45 1.62 0.23 1.02 460 2.03 S
S6 0.31 1.2 4.35 1.47 0.33 1.35 70 1.31 S
S7 3.8 72.1 6.00 0.19 0.59 1.15 260 2.32 P
S8 0.95 1.65 4.92 0.99 0.32 0.89 770 1.70 S
S9 1.8 3.0 3.70 0.58 0.49 1.06 390 0.81 S

Note. S5 and MQ1 were not observed with Gemini.

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For the only target that does not have a Gemini/GMOS spectrum (S5), we assumed the average ratio of F(Hα) = 0.4F(F657N) derived above from the shock-ionized sources. Looking at the whole sample of about 140 SNR candidates with Gemini spectra, it is clear (Winkler et al. 2017, their Figures 8 and 9) that there is a large spread in the [N ii]/Hα flux ratios, corresponding to F(Hα)/F(F657N) spanning the whole range between ∼0.25 and 0.7, possibly as a function of shock velocity and local metal abundance. Thus, our choice of F(Hα) = 0.4F(F657N) is roughly the midpoint (on a log scale) of that range. (For comparison, Blair et al. 2014 assumed a slightly lower value of F(Hα) = 0.33F(F657N) for sources without direct line-ratio measurements, and F(Hα) = 0.5 F(F657N) was assumed by Soria et al. 2014 for MQ1.)

The optical spectra also provide direct information on the density of the emitting plasma, from the observed flux ratio of the sulfur doublet ([S ii]λ6716/[S ii]λ6731). The WFC3 filter F673N includes both lines, but the ratio comes from the Gemini spectra. We find (Table 3) a range of values between ≈0.9 and ≈1.35, which correspond to electron densities between ≈70 and 800 cm−3, assuming a temperature near ∼104 K for the S+ zone (Osterbrock & Ferland 2006; Sanders et al. 2006).

Next, we corrected the observed fluxes for the effect of optical extinction. In addition to the Galactic line-of-sight value (AV ≈ 0.18 mag), we need to take into account the local extinction in the star-forming disk of M83. For the eight objects with Gemini spectra, we determined how the observed ratio between the Hα and Hβ line fluxes differs from the canonical value of 2.86; we assumed that the reduced contribution from Hβ is due to extinction (AHα ≈ 0.818AV; AHβ ≈ 1.164AV). The observed Hα/Hβ flux ratios span the range ≈3.7–6.7 (Table 3). This corresponds to total extinctions (line-of-sight plus intrinsic) AV from ≈0.8 mag (for S9) to ≈2.7 mag (for S2). We used the average of those eight values, $\langle {A}_{V}\rangle =1.7$ mag, as a plausible estimate for the unknown extinction of S5. Putting together the previous findings, and scaling to the distance of 4.6 Mpc, we determined the intrinsic luminosities (Table 4) in the [O iii], Hα, and [Fe ii]λ1.64 μm lines (for [Fe ii], in only eight of the nine targets). For comparison, we also recalculated the line emission from MQ1 (Table 4) using the same procedure as for the nine SNR candidates. For MQ1, we adopted a total extinction AV = 3.9 mag, as discussed in Soria et al. (2014). The higher extinction for MQ1 is not surprising, given its proximity to the dusty nuclear starburst region.

Table 4.  Extinction-corrected Line Luminosities from the HST Data

ID ${L}_{[{\rm{O}}{\rm{III}}]}$ LHα ${L}_{[\mathrm{Fe}{\rm{II}}]}$
  (1037 erg s−1) (1037 erg s−1) (1037 erg s−1)
S1 1.0 ± 0.1 1.6 ± 0.2 0.12 ± 0.01
S2 10.3 ± 3.5 19.6 ± 1.7
S3 3.0 ± 0.3 1.2 ± 0.1 0.10 ± 0.01
S4 2.5 ± 0.3 1.4 ± 0.2 0.14 ± 0.02
S5 3.8 ± 1.5 2.9 ± 0.5 0.27 ± 0.03
S6 0.4 ± 0.3 1.0 ± 0.2 0.13 ± 0.03
S7 6.7 ± 2.5 43.1 ± 3.4 0.45 ± 0.07
S8 1.8 ± 1.0 1.6 ± 0.3 0.26 ± 0.03
S9 1.0 ± 0.1 1.5 ± 0.2 0.11 ± 0.01
MQ1 5.0 ± 0.5 10.0 ± 1.2 2.1 ± 0.2

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[Fe ii]λ1.64 μm is often used as a tracer of cooler gas in star-forming regions and starburst galaxies (e.g., Oliva et al. 1989; Mouri et al. 2000; Alonso-Herrero et al. 2003; Labrie & Pritchet 2006). Fe+ has an ionization potential of only 16.2 eV; therefore, it is easily ionized to Fe++ in H ii regions, with the result that the [Fe ii] line emission from photoionized gas is strongly suppressed. Instead, Fe+ survives in cooler, partially ionized and recombining regions, such as the cooling flows behind SNR shocks. In particular, [Fe ii] traces dense, collisionally excited gas at temperatures of ≈6000 K, and partially ionized, X-ray heated gas at temperatures ≈8000 K (Mouri et al. 2000). If we assume that most of the [Fe ii] emission comes from the SNR recombination zones, we can use the de-reddened flux ratio between [Fe ii]λ1.64 μm and Hβ as an independent check of our estimated values of extinction and Hα/[N ii] flux ratios.

Assuming the canonical value LHα ≈ 2.86LHβ, we infer from Table 4 that ${L}_{[\mathrm{Fe}{\rm{II}}]}/{L}_{{\rm{H}}\beta }\approx 0.20$–0.45 for seven (specifically, S1, S3, S4, S5, S6, S8, S9) of the eight SNR candidates for which an [Fe ii] measurement is available. This range of values is consistent with the model predictions (Allen et al. 2008) for shock-ionized gas with solar abundances, interstellar medium (ISM) densities in the range ne ∼ 1–10 cm−3, equipartition magnetic field, and shock velocities ≈100–500 km s−1. It is also consistent with the values observed from nearby SNRs (Oliva et al. 1989).

The only outlier in our sample is again the S7 nebula (Figure 5), which has ${L}_{[\mathrm{Fe}{\rm{II}}]}/{L}_{{\rm{H}}\beta }\approx 0.03$ (Table 4). This low value is inconsistent with any shock velocity ≳100 km s−1 (Allen et al. 2008), but is consistent with the interpretation of S7 as an H ii region. Optical and infrared [Fe ii] emission lines are sometimes seen in H ii regions, for example in the Orion nebula (Osterbrock et al. 1992; Rodríguez 1992; Bautista & Pradhan 1998). The infrared [Fe ii] lines are generally attributed to collisional excitation in partially ionized zones close to the ionization front, at densities ne ∼ 102–104 cm−3 (Bautista & Pradhan 1998; Marconi et al. 1998; Verner et al. 2000).

Given the exceptionally strong Hα (Table 4) and radio (Table 2) luminosity of the S7 nebula, and its peculiar properties compared with the rest of the sample, we investigated this source further. The broadband optical image (Figure 4) of the S7 field shows a highly reddened cluster of massive stars (identified as cluster NGC 5236-2-530 in the catalog of Silva-Villa & Larsen 2011), coincident with the peak of the Hα and [Fe ii] emission, as well as with the position of the unresolved radio emission (discussed later in Section 3.3); it also shows a bright cluster of blue stars located ∼20 pc to the north of the peak radio emission. A soft, faint (LX ≈ 1036 erg s−1) thermal X-ray source (L14-275: Long et al. 2014) is centered at the location of the blue stars rather than at the position of the optical and radio nebula (Figure 4). From aperture photometry on the broadband HST images, we estimate that the integrated (and de-reddened) absolute brightness of the cluster at the central position of S7 is MV ≈ −9.7 mag, MB ≈ −10.0 mag. Using the stellar population code starburst99 (Leitherer et al. 1999), we find that this is consistent with an instantaneous burst of star formation, at an age ≲3 Myr and a stellar mass ≈(1.0–1.5) × 104M. Such a population is expected to produce an ionizing photon flux Q(H0) ≈ (3.0–4.0) × 1050 photons s−1 above 13.6 eV, mostly from main-sequence O stars.

On the other hand, we have already measured the intrinsic Hα luminosity of S7 (Table 4), and we can infer its Hβ luminosity by applying the standard Balmer decrement of 2.86 for photoionized gas at 10,000 K (Osterbrock & Ferland 2006); we obtain LHβ ≈ 1.5 × 1038 erg s−1. We also know from atomic physics that the emission of one Hβ photon is triggered every ∼8.5 ionizing photons between 13.6 eV and ∼0.2 keV (Osterbrock & Ferland 2006). Hence, the observed Balmer-line emission implies an ionizing photon flux Q(H0) ≈ 3.1 × 1050 photons s−1, in good agreement with the brightness of the optical continuum. Interestingly, the other cluster of blue stars to the northeast of S7 is brighter in the blue band because it is dominated by blue supergiants at an age of ∼10 Myr, but it has an ionizing flux an order of magnitude lower than the highly reddened cluster coincident with S7.

It is interesting to compare our results (mostly based on line emission) with the findings of Williams et al. (2019), who fitted the HST/WFC3 broadband colors of the stars within a 50 pc radius of most of the SNR candidates in M83. From that modeling, Williams et al. (2019) determined the age distribution of the stellar populations and the corresponding zero-age main-sequence mass of the most massive stars currently present around each SNR (a proxy for the progenitor mass of the SNR). For eight of the nine SNR candidates in our target list (all except S7), the stellar progenitor mass spans a range between ≈8 M (for S8) and ≈17 M (for S3), which is the typical mass range of SN progenitors (Williams et al. 2019). By contrast, they find a zero-age main-sequence mass ≈40 M for the most massive stars around S7 (region 207 in their catalog). This is consistent with our interpretation that the S7 optical nebula is mainly the result of photoionization by O stars. Note that the 50 pc source region used by Williams et al. (2019) includes not only the reddened star cluster but also most of the blue cluster.

Figure 5.

Figure 5. Top panel: continuum-subtracted F657N (Hα plus [N ii) image of S2, highlighting the long linear structure with a possible bow shock at the western end; no [Fe ii] image is available for this source. Bottom panel: continuum-subtracted F657N image of S7, with log-scale contours for the [Fe ii] emission overplotted in red. The cyan ellipse shows the source extraction region used for the measurement of the line fluxes reported in Table 2. In both panels, north is up and east to the left, and a scale bar is shown.

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3.2. X-Ray Colors and Spectra

Seven of the nine candidate SNRs selected for this study have point-like X-ray counterparts (Table 1). Using the ciao task srcflux, we estimated and compared the count rates and fluxes of each source in each of the 12 Chandra/ACIS-S observations available in the archive, searching for variability between observations (the count rates are not high enough to constrain intra-observational variability). X-ray variability by an order of magnitude (Soria et al. 2014) was one of the main clues that suggested a microquasar interpretation for MQ1 (Chandra source L14-237). We find significant variability only in one SNR candidate: L14-139, counterpart of S2. The variability of L14-139 is less dramatic than that of MQ1; it spans a factor of a few in flux over the whole series of observations, with no clear systematic trend. In Table 5, we report the model-independent, observed fluxes in the 0.5–7 keV band ("broad" band in srcflux) for each of the 12 observations, and a model-dependent flux in the same band, based on an absorbed power law with photon index Γ = 1.5 and total absorbing column NH = 1021 cm−2.8 All other sources are consistent with constant fluxes throughout the 12 observations, as we expect from hot plasma in SNRs. The lack of an X-ray counterpart for the S7 nebula, down to a detection limit of ≈5 × 1035 erg s−1, supports the idea that S7 is an H ii region, photoionized by stellar sources.

Table 5.  Observed Flux from the Microquasar Candidate S2 from the Individual Chandra Observations

ObsID MJD(start) Date ${F}_{0.5-7}$ Model ${F}_{0.5-7}$
      (10−15 erg cm−2 s−1) (10−15 erg cm−2 s−1)
793 51663.58 2000 Apr 29 ${7.2}_{-1.8}^{+1.8}$ ${8.8}_{-2.2}^{+2.2}$
2064 52157.00 2001 Sep 4 ${14.5}_{-7.6}^{+10.4}$ ${7.7}_{-4.1}^{+5.5}$
12995 55553.43 2010 Dec 23 ${3.0}_{-1.0}^{+1.1}$ ${5.0}_{-1.6}^{+1.9}$
13202 55555.69 2010 Dec 25 ${6.7}_{-1.6}^{+1.5}$ ${6.5}_{-1.5}^{+1.5}$
12993 55635.50 2011 Mar 11 ${3.8}_{-1.1}^{+1.5}$ ${6.1}_{-1.8}^{+2.3}$
13241 55638.90 2011 Mar 18 ${5.7}_{-1.4}^{+1.3}$ ${7.3}_{-1.7}^{+1.8}$
12994 55643.15 2011 Mar 23 ${4.1}_{-0.8}^{+0.8}$ ${6.4}_{-1.2}^{+1.3}$
12996 55649.67 2011 Mar 29 ${4.8}_{-1.9}^{+2.5}$ ${3.7}_{-1.5}^{+1.8}$
13248 55654.30 2011 Apr 3 ${3.9}_{-1.4}^{+1.7}$ ${4.4}_{-1.5}^{+1.9}$
14332 55802.77 2011 Aug 29 ${1.7}_{-0.9}^{+1.1}$ ${2.2}_{-1.1}^{+1.4}$
12992 55808.25 2011 Sep 4 ${3.6}_{-1.2}^{+1.4}$ ${3.6}_{-1.1}^{+1.4}$
14342 55923.41 2011 Dec 28 ${6.0}_{-1.6}^{+1.9}$ ${6.0}_{-1.6}^{+1.9}$

Note. Model-independent and model-dependent fluxes calculated with the ciao task srcflux. The fluxes are not corrected for absorption.

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The second step of our X-ray analysis is an assessment of the average source colors. We used the soft (0.35–1.1 keV), medium (1.1–2.6 keV) and hard (2.6–8.0 keV) photon fluxes already calculated by Long et al. (2014), and plotted them in the traditional color–color diagram often used for X-ray source classifications (Prestwich et al. 2003). We find (Figure 6) that six of the sources are located in the band usually occupied by SNRs, or more generally by any source consisting of an optically thin thermal-plasma emission at (average) temperatures ∼0.5 keV; see, e.g., Long et al. (2014), Soria & Wu (2003), Prestwich et al. (2003) for other examples of the source classification in X-ray color–color diagrams of M83. Instead, L14-139 (S2) stands out for its harder colors, as does L14-237 = MQ1, just as both sources also stand out for variability. L14-139 is located in the sector of the diagram occupied by power-law sources with a hard spectrum (photon index Γ ∼ 1.5). L14-237 is located in the region of the diagram usually populated by X-ray binaries in the high/soft state (steep power law or disk blackbody); this is confirmed by detailed spectral analysis (Soria et al. 2014).

Figure 6.

Figure 6. Chandra/ACIS-S color–color plot for the seven point-like X-ray sources associated with our candidate SNRs, plus the MQ1 counterpart for comparison. The observed X-ray colors are defined as: S = photon flux in the 0.35–1.1 keV band; M = photon flux in the 1.1–2.6 keV band; H = photon flux in the 2.6–8.0 keV band; T = photon flux in the 0.35–8.0 keV band. The color values are taken from Long et al. (2014). As a model grid, we overplotted the expected location of sources with power-law photon indices Γ = 1.5, 2, 2.5, and intrinsic absorption column running from NH = 0 to NH = 7 × 1021 cm−2 (increasing from bottom to top). We also overplotted the expected colors of optically thin thermal plasma sources (mekal model) at temperatures kT = 0.25 keV, 0.50 keV, and 1.0 keV, and NH from 0 to 7 × 1021 cm−2 (increasing from let to right); this corresponds to the approximate temperature range of SNRs in the Large Magellanic Cloud (Maggi et al. 2016) and also to the empirical location of SNRs found in our previous studies of M83 (Soria & Wu 2003; Long et al. 2014). Based on X-ray colors alone, S2 = X139 is consistent with an X-ray binary in the hard state, S5 = X237 with an X-ray binary in the high/soft state, and the other counterparts are consistent with typical SNRs.

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The third step is spectral modeling of the stacked spectra from all Chandra/ACIS-S observations, for each source. As expected from our color–color analysis, six sources (L14-63 = S1, L14-183 = S3, L14-186 = S4, L14-256 = S5, L14-310 = S9, and L14-358 = S9) have spectra consistent with thermal plasma emission (mekal model in xspec). In most cases (Table 6, and Figures 7, 8), two temperature components are needed: one component with a temperature kT1 ≲ 0.3 keV and the other with a temperature kT2 ∼ 0.5–1.0 keV; only the lower-temperature component is statistically needed for the spectrum of L14-63 (S1).

Figure 7.

Figure 7. Top left panel: stacked Chandra spectrum and χ2 residuals of X63 (X-ray counterpart of S1), fitted with a single-temperature thermal plasma model. Top right panel: stacked spectrum and χ2 residuals of X139 (X-ray counterpart of S2), fitted with a power-law model (photon index Γ = 1.3 ± 0.3) plus a residual thermal-plasma component at kT ≈ 0.5 keV. Bottom left panel: stacked spectrum and χ2 residuals of X183 (X-ray counterpart of S3), fitted with a two-temperature thermal plasma model. Bottom right panel: stacked spectrum and χ2 residuals of X186 (X-ray counterpart of S4), fitted with a two-temperature thermal plasma model. See Table 5 for the best-fitting parameters and corresponding fluxes and luminosities. In all panels, the red line is the combined best-fitting model; for two component models, the magenta line is the lower-temperature thermal plasma contribution, and the green line is the higher-temperature or power-law component. Chandra/ACIS spectral channels have been regrouped to a minimum of 15 counts per bin, for χ2 fitting.

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Figure 8.

Figure 8. Top panel: stacked spectrum and χ2 residuals of X256 (X-ray counterpart of S6), fitted with a two-temperature thermal plasma model. Middle panel: stacked spectrum and χ2 residuals of X310 (X-ray counterpart of S9), fitted with a two-temperature thermal plasma model. Bottom panel: stacked spectrum and χ2 residuals of X358 (X-ray counterpart of S10), fitted with a two-temperature thermal plasma model. See Table 5 for the best-fitting parameters and corresponding fluxes and luminosities. Red, magenta, and green lines are defined as in Figure 7. The data have been regrouped to >15 counts per bin.

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Table 6.  Best-fitting Model Parameters and Luminosities of the X-Ray Counterparts

ID $({N}_{{\rm{H}}})$ a kT1 $({N}_{1})$ b kT2 $({N}_{2})$ b Γ $({N}_{\mathrm{po}})$ c ${\chi }_{\nu }^{2}$ ${F}_{0.3-10}$ ${L}_{0.3-10}$
  (1022 cm−2) (keV) (10−6 cm−5) (keV) (10−6 cm−5)   (10−7)   (10−15 CGS) (1037 CGS)
L14-63 (S1) ${0.71}_{-0.40}^{+0.22}$ ${0.19}_{-0.04}^{+0.08}$ ${21.0}_{-18.6}^{+86.3}$ 0.41 (5.7/14) ${1.3}_{-0.2}^{+0.2}$ ${10.8}_{-9.4}^{+41.6}$
L14-139 (S2) ${0.39}_{-0.23}^{+0.33}$ ${0.52}_{-0.21}^{+0.12}$ ${1.0}_{-0.6}^{+3.7}$ ${1.27}_{-0.30}^{+0.31}$ ${6.3}_{-1.9}^{+2.5}$ 0.91 (21.8/24) ${6.7}_{-1.1}^{+1.3}$ ${2.5}_{-0.6}^{+2.2}$
L14-183 (S3) ${0.13}_{-0.13}^{+0.36}$ $\lt 0.21$ ${8.3}_{-8.2}^{+87.0}$ ${0.58}_{-0.11}^{+0.09}$ ${0.47}_{-0.18}^{+0.54}$ 1.18 (8.28/7) ${1.1}_{-0.3}^{+0.7}$ ${0.9}_{-0.6}^{+5.8}$
L14-186 (S4) ${0.18}_{-0.18}^{+0.55}$ $\lt 0.20$ ${25}_{-24}^{+660}$ ${0.75}_{-0.16}^{+0.15}$ ${0.93}_{-0.36}^{+1.44}$ 1.07 (22.52/21) ${2.0}_{-0.4}^{+0.8}$ ${2.3}_{-1.8}^{+43.5}$
L14-256 (S5) ${0.07}_{-0.07}^{+0.56}$ ${0.27}_{-0.08}^{+0.07}$ ${0.58}_{-0.23}^{+11.9}$ ${0.99}_{-0.21}^{+0.21}$ ${0.36}_{-0.12}^{+0.28}$ 0.82 (9.0/11) ${1.4}_{-0.2}^{+0.2}$ ${0.52}_{-0.15}^{+6.0}$
L14-310 (S8) $\lt 0.31$ ${0.26}_{-0.08}^{+0.05}$ ${0.89}_{-0.28}^{+0.25}$ ${0.80}_{-0.12}^{+0.13}$ ${0.87}_{-0.22}^{+0.24}$ 0.88 (18.48/21) ${3.5}_{-0.3}^{+0.3}$ ${1.0}_{-0.1}^{+2.6}$
L14-358 (S9) ${0.05}_{-0.05}^{+0.11}$ $\lt 0.12$ ${11.9}_{-10.3}^{+4.3}$ ${0.49}_{-0.05}^{+0.07}$ ${0.85}_{-0.18}^{+0.27}$ 0.91 (14.61/16) ${2.7}_{-0.4}^{+0.4}$ ${1.4}_{-0.6}^{+1.3}$
L14-237 (MQ1) See detailed spectral modeling in Soria et al. (2014)

Notes.

aIntrinsic absorption column density. In addition, a fixed Galactic foreground column density ${N}_{{\rm{H}}}=4\times {10}^{20}$ cm−2 was included in every model. bStandard mekal normalization $N={10}^{-14}/(4\pi {d}^{2})\,\int {n}_{{\rm{e}}}{n}_{{\rm{H}}}{dV}$, where ne and nH are the electron and hydrogen densities in the emitting plasma (units of cm−3), and d = 4.61 Mpc = $1.42\times {10}^{25}$ cm. cStandard power-law normalization in units of photons (keV)−1 cm−2 s−1 at 1 keV.

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The only source that stands out is L14-139 (S2), as already suspected from its X-ray colors. Spectral analysis confirms that L14-139 has a power-law dominated spectrum, with a photon index Γ = 1.3 ± 0.3, plus a soft excess consistent with thermal emission (Table 6). The soft thermal component contributes for ≈13% of the observed flux, and 28% of the de-absorbed luminosity. The hard nonthermal spectrum supports the interpretation of this source as an X-ray binary. In most of the 12 Chandra observations (in particular, in all the longer ones), the source was located several arcmins away from the aimpoint on the ACIS chip, to the effect that the point-spread function was somewhat degraded; thus, we are unable to determine whether the soft emission is more spatially extended than the hard component. We can only say that both the soft and the hard emission are consistent with a point-like source at that location, with a full width at half maximum ≲50 pc.

In the optical continuum, L14-139 has a point-like counterpart: a bright, red star with apparent magnitude m555W = 25.69 ± 0.05 mag, m814W = 21.46 ± 0.05 mag. Assuming the same extinction AV = 2.66 mag inferred for the ionized nebula (Table 3), we obtain a de-reddened absolute brightness MV ≈ −6.5 mag, MI ≈ −8.4 mag, typical of a red supergiant (Figure 2). A somewhat different value of the extinction can be obtained from the best-fitting column density NH (Table 6), converted to an optical extinction with the relation of Güver & Özel (2009); this corresponds to an extinction ${A}_{V}={2.0}_{-1.0}^{+1.5}$ mag (consistent with the nebular extinction within the errors), and an absolute brightness MV ≈ −5.8 mag, MI ≈ −8.0 mag (also consistent with a red supergiant).

In most of our sources, a model estimate of the de-absorbed X-ray luminosity is substantially affected by the large uncertainty on the absorbing column density (Table 6), and the degeneracy between absorption and normalization of the softest thermal plasma component. We used the xspec model cflux to estimate the 90% confidence limits of the absorbed and de-absorbed fluxes reported in Table 6. As an order-of-magnitude estimate, the six thermal-plasma sources in our sample have unabsorbed luminosities ∼1037 erg s−1, with the possible exception of L14-63 (S1), which may be as luminous as ≈1038 erg s−1 after we account for its intrinsic absorption. The X-ray binary candidate L14-139 has an average X-ray luminosity LX ≈ 3 × 1037 erg s−1, consistent with the luminosity of the low/hard state.

3.3. Radio Morphology and Fluxes

By analogy with our discovery of MQ1 and of other microquasars, we are looking here for exceptionally luminous radio sources, and/or evidence of bipolar radio lobes. In this respect, the most interesting radio sources in our sample are S2 and S7.

S2 is resolved into two sources of similar flux density, S5.5 GHz ≈ 0.2 mJy each, separated by ≈50 pc. Both sources have a similar radio spectral index, α ≈ −0.9 ± 0.6, consistent with optically thin synchrotron emission. The two radio sources roughly correspond to the two peaks of optical line emission identified by Blair et al. (2012) as the two separate SNR candidates B12-96 and B12-98. The hard, nonthermal X-ray source L14-139 is located approximately in between the two peaks of radio emission (Figure 2). The elongated region of optical line emission is also oriented along the same direction as the two radio sources, but extending well beyond them on either side. There are two possible interpretations for this configuration of radio, optical, and X-ray emission: either a chance alignment of multiple SNRs (two of which are also radio bright), with an unrelated X-ray binary in between them; or a microquasar with a core corresponding to the point-like X-ray source, and radio/optical lobes produced by the interaction of the jet with the ISM.

S7 is the brightest source in our sample, with a flux density S5.5 GHz ≈ 1.0 mJy, and one of the brightest compact radio sources in M83 (only slightly fainter than MQ1). Its flux measured from our 2011–2017 ATCA data is consistent with the flux measured by Maddox et al. (2006) from their 1998 VLA observations. Our ATCA observations reveal a spectral index of α = −0.35 ± 0.28: this is consistent both with optically thin synchrotron, and with free–free emission. We have already argued (Section 3.1), based on its optical line ratios, that S7 is associated with a photoionized H ii region, rather than a collisionally ionized bubble. Standard relations between Balmer emission and free–free radio emission in star-forming regions (Caplan & Deharveng 1986; Condon 1992) predict that an Hβ luminosity ≈1.5 × 1038 erg s−1 should correspond to a 5.5 GHz flux density of ≈0.2 mJy at the distance of M83. In reality, the observed radio flux is five times higher. We do not have enough information to say whether S7 contains an additional radio synchrotron source (possibly a young SNR inside the H ii region), or whether the discrepancy is simply due to empirical scatter at the level of individual H ii regions.

The radio source associated with S8 is another interesting case: the peak of the radio emission is displaced by ≈0farcs7 south of the bright arc-like optical nebula (Figure 4), near the center point of the optical arc. The radio spectral index is consistent with flat (α ≈ 0), although it could also be steep or inverted (Table 2). A possible interpretation of those two findings is that the optical arc is part of the expanding SNR shell, strongly interacting with the ISM only on its northern side because of a density gradient. Alternatively, the location and radio luminosity (∼1034 erg s−1) of the radio source are consistent with a pulsar wind nebula, filling the central region of the SNR (Gaensler & Slane 2006). However, the associated X-ray source (L14-310) is centered somewhere between the optical and radio peaks (Figure 4), and is dominated by thermal plasma emission (Table 5). Hence, the interpretation of this source remains uncertain.

Finally, we reexamined the radio emission from MQ1 (the brightest non-nuclear radio source in M83), taking advantage of the 2015 and 2017 ATCA observations that took place subsequent to the study of Soria et al. (2014). From our analysis of the combined ATCA dataset, we obtain integrated flux densities S5.5 GHz ≈ 1.8 mJy and S9 GHz ≈ 1.0 mJy, respectively. At the distance of M83, this corresponds to a radio luminosity of ≈2.5 × 1035 erg s−1. This is much larger than the integrated 5.5 GHz radio luminosity of ≈5 × 1033 erg s−1 for the most powerful microquasar bubble in the Milky Way, SS 433/W50 (Dubner et al. 1998); it is also higher than the most radio-luminous Milky Way SNR, Cassiopeia A, with a 5.5 GHz luminosity of ≈5.5 × 1034 erg s−1 (Arias et al. 2018).

According to Chomiuk & Wilcots (2009a), the radio luminosity function of SNRs is a power law and the number of SNRs is proportional to the star formation rate. If that is the case, we expect the maximum radio luminosity of a SNR to be higher in M83 (with a star formation rate ≈3–5 M yr−1: Boissier et al. 2005) than in the Milky Way, with its more modest star formation rate (≈1.5–2 M yr−1: Licquia & Newman 2015). As a result, we expect a few SNRs in M83 with a radio luminosity comparable to MQ1 even though none are observed in the Galaxy. The radio luminosity function of microquasar bubbles (powered by compact objects accreting in the supercritical regime) is not known yet, because of the small number of such sources identified so far; however, we do know of other bubbles with 5 GHz luminosities ∼1035 erg s−1 (e.g., NGC 7793-S26: Soria et al. 2010; IC 342 X-1: Cseh et al. 2012). Although the radio luminosity and energy content of the most powerful radio SNRs and microquasar bubbles may be of the same order of magnitude, the two classes of sources differ in age and size: theory predicts (Sarbadhicary et al. 2017) that the most luminous radio SNRs have ages ∼102–103 yr and radii ≲a few pc (e.g., the bright SNR in NGC 4449: Chomiuk & Wilcots 2009b; Bietenholz et al. 2010), while accretion-powered bubbles can have ages ≳105 yr (timescale of supercritical mass transfer from the donor star) and sizes ∼100 pc (Pakull & Mirioni 2002; Pakull et al. 2006, 2010).

4. Discussion

We have seen that the majority of morphologically peculiar SNRs in our sample are consistent with normal SNRs, based on their multiband properties (e.g., optical line ratios and X-ray spectra). Instances where the optical line-emitting region appears linear or arc-like (specifically, S8 and S9) are best explained as enhanced interaction between an expanding SNR shell and the local ISM along one sector of the shell, perhaps because of density inhomogeneities. Another source (S6) has an intriguing linear structure in Hα that does not appear to be part of a larger spherical shell; however, its faintness and lack of an X-ray counterpart prevent detailed conclusions on its SNR versus microquasar nature.

The two sources that most stand out in our sample are S2 and S7. S2 is either a series of unrelated SNRs, aligned by chance also with an X-ray binary; or it is a single physical object, a jet-powered bubble, ≈200 pc in length, with an optically emitting bow shock at its western end and a series of internal shocks closer to the core. In the latter scenario, the nonthermal X-ray source is the microquasar core (origin of the jet). A microquasar jet with similar morphology was recently discovered in NGC 300 (Urquhart et al. 2018; McLeod et al. 2019). If this scenario is correct, the pair of optical SNR candidates B12-96 and B12-98 and the pair of synchrotron radio sources at the same location correspond to the optical/radio lobes for the current phase of jet activity, while the fainter Hα emission beyond those lobes corresponds to earlier phases of activity.

Standard bubble theory (Weaver et al. 1977) shows that the total radiative luminosity Lrad of shock-heated gas is Lrad ≈ (27/77) Pkin, where Pkin is the kinetic power of the wind or jet that is inflating the bubble. (The rest of the kinetic power is spent for the bulk motion of the expanding swept-up shell, and for the work done to expand the bubble against the external ISM pressure.) In turn, the relative contribution to the radiative luminosity from the various IR/optical/UV lines depends on the undisturbed ISM density, the shock velocity, the metallicity, and the magnetic energy density, and can be calculated with codes such as mappings (Dopita & Sutherland 1995; Allen et al. 2008). In particular, the fractional contribution of the Hβ line emission (total emission from shock and precursor) does not depend too strongly on the shock velocity, and can be approximated as LHβ ≈ 2.5 × 10−3 Pkin (Dopita & Sutherland 1995; Pakull et al. 2010; Soria et al. 2014), within a factor of two, over the range of typical microquasar shock velocities (vs ≈ 100–300 km s−1). Thus, assuming that the line emission from S2 is due to jet-driven shocks, and taking LHα ≈ 3.0LHβ,9 we estimate Pkin ≈ 2.6 × 1040 erg s−1 from the total emission of the 200 pc nebula, or, perhaps more appropriately, Pkin ≈ 1.5 × 1040 erg s−1 if we consider only the inner pair of shocked regions (B12-96 and B12-98), interpreted as the currently active jet lobes (by analogy with Urquhart et al. 2018; McLeod et al. 2019). This is similar to the kinetic power estimated for MQ1 from its line emission (Soria et al. 2014).

The other outstanding source in our sample is S7. This is the only nebula in our list that is clearly dominated by UV photoionization, based on its line ratios. We showed that a young star cluster with a mass ∼104M and an age ≲3 Myr (thus, still containing dozens of O stars) is consistent both with the observed optical continuum and with the ionizing photon flux required to explain the huge Hα emission (LHα ≈ 4 × 1038 erg s−1). [Fe ii] emission is extended (≈30 pc across) and relatively weak compared with Hα (as expected in a photoionized region), but still quite strong in absolute terms: L[Fe ii] ≈ 5 × 1036 erg s−1. Possible non-SNR origins for the [Fe ii] emission are protostellar and stellar outflows (Shinn et al. 2014; Reiter et al. 2016), and the shock front where the H ii region advances into the surrounding neutral ambient medium (Elmegreen & Lada 1977; Spitzer 1978; Williams et al. 2018). However, it is also possible that S7 contains a buried SNR, whose contribution to the Balmer emission may be negligible (compared with the photoionized contribution) but which may explain the [Fe ii] emission. Another peculiar property of S7 is its strong radio emission, with a flat spectral index but a luminosity about five times higher than expected for free–free radio emission in an H ii region. That may be another clue about the presence of a buried SNR inside the H ii region.

For some of the other SNR candidates in our list, the simplest explanation for their irregular morphology is an asymmetry of the surrounding CSM/ISM. For example, in S4, S8, and S9, the SN shock wave must be expanding into denser ISM toward the northern part of the remnant. Conversely, in S3, the ISM is likely to have a density gradient toward the southwest. S3 is also notable in the HST images (Figure 2) for its high ionization, based on the observed strong [O iii] emission: the unabsorbed L[O iii] ≈ 3LHα (Table 4) likely indicates a high shock velocity for this object, especially for the northern extension.10 Finally, S6 has a collisionally ionized linear structure also reminiscent of a microquasar jet, but no X-ray detection and only a marginal radio detection at 5.5 GHz. If it is a (currently inactive) microquasar, applying again the line luminosity scaling to its Hα and [Fe ii]λ1.64 μm emission (Pakull et al. 2010; Soria et al. 2014), we obtain a kinetic power ≈1039 erg s−1, but there is no evidence ruling out an SNR interpretation.

5. Conclusions

In this study, we have selected a sample of nine irregularly shaped SNR candidates in M83—a purely empirical assessment based on their appearance in HST/WFC3 images. We have analyzed their multiband properties, combining Chandra, HST, Gemini, and ATCA data, with the objective of determining the nature of those sources and possibly discovering a new microquasar among them (by analogy with our earlier discovery of MQ1). We found that at least six of them (S1, S3, S4, S5, S8, S9) are indeed best interpreted as SNRs, based on their optical and infrared line ratios and their soft, thermal-plasma X-ray spectrum (kT ≲ 1.0 keV). For one source (S6) we do not have enough observational data to explain the reason of its linear morphology. One optical nebula (S7) is dominated by photoionization. The origin of the ionizing photons appears to be a cluster of O stars. It is plausible that star formation in that region is so recent that it has not produced SNe yet; however, an intriguing property of S7 is its strong radio luminosity and the presence of [Fe ii] emission, which may suggest the presence of a hidden SNR. We leave further analysis of the radio source populations associated with SNRs and with H ii regions to a future study (T. D. Russell et al. 2020, in preparation).

The source labeled S2 is the most complex and perhaps most interesting. It is the only source in our sample for which we propose a possible microquasar jet interpretation. With the data currently available, we cannot distinguish between the microquasar and the multiple SNR scenario. In the microquasar scenario, S2 is a single physical structure powered by the jet from an accreting compact object (the Chandra source L14-139), which produces optical and radio lobes and an elongated tail of shock-ionized gas. In the multiple SNR scenario, the linear structure is caused by a chance alignment of several SNRs, and the core is an unrelated X-ray binary, also a aligned by chance.

If S2 is a microquasar, its kinetic power is ∼1040 erg s−1, in the same class as the most powerful supercritical jet sources found so far in the local universe. The X-ray luminosity of the candidate core is currently either low (∼1037 erg s−1) or obscured by Compton-thick material, so that we see only scattered emission (as is the case for SS 433). Such sources are rare (even rarer than the radiatively bright ultraluminous X-ray sources) but are a key test of supercritical accretion models. To make further progress, we need to determine whether there is a systematic positive and negative velocity shift in the optical emission lines on either side of the candidate core (signature of a large-scale outflow). We have obtained a set of spectra with the Multi Unit Spectroscopic Explorer on the Very Large Telescope: we will present the results in a forthcoming work.

We thank Anna McLeod, Christian Motch, Manfred Pakull, and Ryan Urquhart for helpful discussions. We also thank James Miller-Jones for his help with the planning and analysis of the radio observations. This paper is dedicated to the memory of Michael A. Dopita (1946–2018), who pioneered modeling of optical emission from shock-heated plasmas, who started the morphological classification of SNRs in M83 from the initial HST survey, and who will be much missed by all of us. R.S. acknowledges support and hospitality from the Curtin Institute of Radio Astronomy (Perth, Australia) during the early stages of this work. W.P.B. acknowledges STScI grant HST-GO-14211.002-A for partial support during this project. P.F.W. acknowledges support from NASA grant HST-GO-14211.003 and from NSF grant AST-1714281.

Footnotes

  • The choice of this simple model as input of srcflux is justified by the color and spectral analysis discussed later in this section. For this model, the observed flux in the 0.3–10 keV band is ≈1.3 times higher than that in the 0.5–7 keV band.

  • The Balmer decrement for radiative shocks is slightly steeper than the canonical value of 2.86 suitable to photoionized nebulae: for solar metallicity and a shock velocity of 150 km s−1, the Hα/Hβ ratio is 3.06, while for a shock velocity of 500 km s−1, the ratio is 2.92: (Allen et al. 2008).

  • 10 

    The alternative of an ejecta-dominated SNR similar to Cas A (or SN1957D in M83) can be excluded by the fact that the velocity widths of ≈400 km s−1 are much smaller than for ejecta-dominated SNRs, and are the same for all the lines, including Hα and Hβ.

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10.3847/1538-4357/ab5b0c