Free Access
Issue
A&A
Volume 660, April 2022
Article Number A76
Number of page(s) 16
Section Interstellar and circumstellar matter
DOI https://doi.org/10.1051/0004-6361/202142923
Published online 20 April 2022

© ESO 2022

1 Introduction

The outer Galaxy (OG) is the portion of the Galactic disc located at Galactocentric distances, RGC, in between 9 ≤ RGC ≤ 28 kpc, that is beyond the Solar circle. It shows chemical properties significantly different from those of the inner Galaxy. In particular, the overall metallicity is lower than the Solar one (e.g. a factor of four lower at RGC = 19 kpc, Shimonishi et al. 2021). The elemental abundances of oxygen, carbon, and nitrogen, that is the three most abundant elements in the Universe after hydrogen and helium, decrease as a function of RGC (see e.g. Esteban et al. 2017), similar to all of the other elements, following the so-called radial metallicity gradient. Despite the fact that the OG is believed to be more favourable than the inner Galaxy for preserving life on habitable planets, due to the low rate of disruptive events (e.g. Piran & Jimenez 2014; Vukotić et al. 2016), the lower abundance of heavy elements with respect to the Solar one has led this zone to be considered unsuitable to form planetary systems in the past in which Earth-like planets could be born and might be capable of sustaining life (Prantzos 2008; Ramírez et al. 2010). Chemical evolution models predict that the so-called Galactic habitable zone (GHZ) in the Milky Way is an annu-lus extended up to RGC ~ 9 kpc, with maximum habitability at RGC ~ 8 kpc (Spitoni et al. 2014; Spitoni et al. 2017).

However, this scenario has been challenged by recent observational results in which the occurrence of Earth-like planets does not seem to depend on the Galactocentric distance (e.g. Maliuk & Budaj 2020). The formation of small, terrestrial planets does not require a metal-rich environment, suggesting that their existence might be widespread in the disc of the Galaxy (Mulders 2018). In addition, the mass of super-Earths and sub-Neptune planets is not determined by the availability of solids, but it is instead regulated by poorly known processes, with a very weak dependence on metallicity (Kutra et al. 2021, Pacetti et al. 2020).

All this indicates that, even at metallicities lower than the Solar one, planets capable of hosting life can be found. Moreover, recent observations performed with the Atacama Large Millimeter Array (ALMA) of the Large and Small Magellanic Clouds (LMC and SMC, respectively), which have a lower metallicity by a factor of 3 and 5, respectively, than the Solar one, have revealed emission of complex organic molecules (COMs), that is to say organic species with more than five atoms. Methanol, CH3OH, was detected in star-forming regions associated with both galaxies (Shimonishi et al. 2018; Sewiło et al. 2018), and methyl formate (HCOOCH3) and dimethyl ether (CH3OCH3) were found in hot cores of the LMC (Sewiło et al. 2018). Because these COMs are thought to be precursors of more complex biogenic molecules (see e.g. Caselli & Ceccarelli 2012), these observational findings indicate that the basic bricks of organic chemistry can also be found in metal poor environments. These findings were reinforced by the recent detections of a hot molecular core, WB89-789, rich in COMs, in the extreme OG (Shimonishi et al. 2021), and of methanol in star-forming regions located at RGC up to ~23.5 kpc (Bernal et al. 2021).

Despite these recent findings, the formation and survival of molecules in star-forming regions located in the two environments (i.e. inner and outer Galaxy) is expected to be different. In fact, besides a lower initial abundance of heavy elements in the OG, relative ratios of different elements change as well because their abundances do not vary in the same way as a function of RGC (Esteban et al. 2017). For example, the N/O ratio has a clear negative trend with RGC (Magrini et al. 2018). Moreover, for the C/O ratio, Berg et al. (2016) suggest a flat relation at a metallicity lower than the Solar one, and a steeply increasing slope at higher metallicities, that is with decreasing RGC, even though different trends are found at low metallicities from a state-of-the-art analysis of high-resolution spectra of solar neighbourhood halo dwarf stars (e.g. Amarsi et al. 2019). Both parameters, that is to say the initial elemental abundances and their relative ratios, are crucial inputs of chemical models that attempt to reproduce the observed molecular emission in star-forming regions (e.g. star-forming cores, Fontani et al. 2017; protoplanetary discs, Eistrup et al. 2018; extragalactic environments, Sewiło et al. 2018). Therefore, to gain an understanding on how chemistry changes throughout the Galaxy and to constrain models adapted for lower metallicity environments, it is crucial to observe OG star-forming regions in a large variety of molecular tracers.

With the aim of addressing this problem, we have started the observational project called CHEMical complexity in star-forming regions of the OUTer Galaxy (CHEMOUT). The immediate goal, based on observations obtained with the Institut-de-Radioastronomie-Millimétrique (IRAM) 30m telescope, is to unveil the chemical composition in star-forming regions of the OG. Thanks to these observations, we will start to investigate how molecules form in such a low metallicity environment. In particular, molecules that are potentially biogenic species, such as COMs, carbon chains, and sulphur- and phosphorus-bearing molecules, are of particular interest since in star-forming cloud cores they are expected to be part of the planetesimals out of which planets form and/or can be delivered to the surfaces of planets, where they might play key roles in the origin of life.

For this reason, the results of CHEMOUT will also allow us to prepare the ground for another discussion on the concept of GHZ. Moreover, the isotopic abundances and abundance ratios determined by CHEMOUT will be used to constrain Galactic chemical evolution and stellar nucleosynthesis models at low metallicities. CHEMOUT data will be especially useful to study the evolution of rare isotopes that lack spectroscopic determinations in stellar atmospheres, such as for 15N or for which statistically relevant stellar samples are not available at present (e.g. 13C, 17O, and 18O).

In this first paper, we present the list of targets (Sect. 2) and the first observational dataset (Sect. 3), and as first results we show the detection of several organic species and tracers of star-formation activity (such as SO and SiO). These results are shown and described in Sect. 4 and discussed in Sect. 5. The main conclusions and the outlook of the project are given in Sect. 6.

2 Sample

We have observed 35 targets extracted from Blair et al. (2008), who searched for formaldehyde emission with the Arizona Radio Observatory (ARO) 12m telescope in dense molecular cloud cores of the OG associated with IRAS colours typical of star-forming regions. The list of targets is given in Table 1. We selected objects that were (1) clearly detected in H2COJKa,Kb${H_2}CO\,{J_{{K_a},{K_b}}}$ = 21, 2−11,1 and (2) covered the full range of RGC in the OG as much as possible. The targets have RGC in between ~9 and ~24 kpc from the Galactic centre. Table 1 shows the target equatorial (J2000) coordinates. In the same table we also report two parameters taken from Blair et al. (2008), namely the H2 total column density, N(H2), and the Galactocentric distance, RGCold$R_{{\rm{GC}}}^{{\rm{old}}}$. In Sect. 4.3, we recompute the Galactocentric distance based on the systemic velocity of the sources derived from our new data, and using an updated rotation curve of the Galaxy. For the objects included in the Hi-GAL catalogues (Molinari et al. 2016), in Table 1 we also give the total gas mass (M) and bolometric luminosity (L) derived from Herschel observations (Elia et al. 2021) and rescaled for the new heliocentric distances calculated in this work (Sect. 4.3).

The masses listed in Table 1 indicate that about half of the targets are candidate high mass star-forming regions. Because the sources for which the mass has not been estimated yet have comparable distances and intensities of the H2CO lines (Blair et al. 2008), it is expected that all objects have similar physical properties, and hence they are all good candidate high mass star-forming regions. However, only accurate measurements of their gas masses will allow one to confirm (or deny) this hypothesis. The location of the sources in the Galactic plane is illustrated in Fig. 1. Most of the sources are included in the second quadrant of the Galaxy. WB89-002, the only object in Blair et al. (2008) located very close to the Sun (RGC ~ 8.6 kpc), was included in this study to have at least one target representative of the Sun neighbourhoods observed with exactly the same observational setup as the OG sources. This will allow us to derive observational trends or gradients (e.g. abundance gradients or isotopic fraction gradients) from the OG to the Sun location without extrapolating.

3 Observations

The observations were performed with the IRAM 30m telescope in several observing runs (5 days in March and April 2018, for a total of ~20 h; August 14–21, 2018 for an additional ~70 h). In all runs, we used the 3mm and 2mm receivers simultaneously. At 3 mm, the spectral windows were optimised to observe the J = 1−0 transitions of the four less abundant isotopologues of HCN and HNC, namely H15NC, HN13C, H13CN, and HC15N. At 2 mm, we centred the bands on the DNC J = 2−1 line. All these transitions will be analysed in forthcoming papers (Colzi et al., in prep.; Fontani et al., in prep.). The local standard of rest (LSR) velocities used to centre the receiver bands are listed in Table 1. Table 2 shows the spectral ranges observed in the two receivers, as well as some technical details of the observations: the beam full width at half maximum (HPBW), the velocity resolution (Vres), and the telescope efficiency (ηMB) used to convert the spectra from antenna temperature to main beam temperature units. The observations were made in wobbler-switching mode with a wobbler throw of 240″. Pointing was checked (almost) every hour on nearby quasars, planets, or bright HII regions. Focus was checked on planets at the start of observations, and after sunset and sunrise. The data were calibrated with the chopper wheel technique (see Kutner & Ulich 1981), with a calibration uncertainty of about 10%. The spectra were obtained with the fast Fourier transform spectrometers with the finest spectral resolution (FTS50), providing a channel width of 50 kHz. In this work, the calibrated spectra were fitted with the CLASS package of the GILDAS1 software using standard procedures. The spectral 1σ rms noise, which is strongly source-dependent, is given in Table 3, and generally ranges from ~5 to ~26 mK in the 3 mm band. The 2 mm band, not presented in this work, will be shown in a forthcoming paper discussing DNC emission (Fontani et al., in prep.).

Table 1

Source parameters extracted from Table 1 of Blair et al. (2008).

thumbnail Fig. 1

Plan view of the Galactic disc showing the location of the sources in Table 1 (filled points) after recalculating their Galactocentric and heliocentric distances (Sect. 4.3). The Sun is marked by the red circled point, and the Galactic centre is pinpointed by the blue cross. The Solar circle is shown by the red dashed curve. The blue dotted circles correspond to Galactocentric distances of 10, 15, 20, and 25 kpc.

Table 2

Spectral windows observed and observational parameters.

4 Results

4.1 Detection summary

Table 3 lists the species that have been detected at a significance level of ≥3σ rms noise in the 3 mm band (Table 2), except for the D, 13C, and 15N isotopologues of HCN and HNC, which will be listed and analysed in forthcoming papers (Colzi et al., in prep.; Fontani et al., in prep.). Rest frequencies, quantum numbers, energy of the upper level, and Einstein coefficients of the detected transitions are listed in Table 4, and they are taken from the Cologne Database for Molecular Spectroscopy (CDMS2, Endres et al. 2016) and the Jet Propulsion Laboratory (JPL3, Pickett et al. 1998). For the C4H radical, we observed two doublets with quantum numbers N = 9–8, J = 19/2–17/2 with F = 9–8, 10–9, and J = 17/2–15/2 with F = 8–7, 9–8. For HCO we observed the quadruplet with quantum numbers NKa,Kb${N_{{K_a},{K_b}}}$ = 10,1-00,0, J = 3/2-1/2 with F = 2−1, 1 − 0, and J = 1/2−1/2 with F = 1−1, 0−1 (see Table 4 for the rest frequencies and other spectroscopic parameters). The hyperfine components with different F of C4H cannot be resolved due to their negligible separation in frequency and velocity (Table 4). This implies that the multiplet is grouped in two lines with different J resolved in frequency and velocity. Because these two lines have similar Einstein coefficients, we have considered the transitions to be clearly detected when both lines with different J have a peak intensity ≥3σ rms, and to be tentatively detected those for which one line is clearly detected and another one is tentatively detected. When the second one is not clearly detected, the species is not considered as detected even if the first one has an intensity higher than 3σ rms.

In Fig. A.1 we show the full 3 mm spectrum obtained towards the representative source WB89-437. All species and lines listed in Table 3, and detected in the source, are indicated in the plot. Selected spectral windows around the faintest detected lines are shown in Fig. A.2. We also give the line intensities of all detected lines for this source, bearing in mind that a thorough analysis of all species and lines goes beyond the scope of this presentation work, and will be performed in forthcoming papers.

We report the following detection rates: 35/35 = 100% in HCN and HCO+; 34/35 ~ 97% in c-C3H2; 27/35 ~ 77% in H13CO+; 25/35 ~ 71% in HCO; 23/35 ~ 66% in SO; 16/35 ~ 46% in SiO; 14/35 ~ 40% in HCS+; 9/35 ~ 26% in C4H; 8/35 ~ 23% in NH2D; 6/35 ~ 17% in CH3CCH; and 4/35 ~ 11% in CCS. The detection rates of all species are listed in Table 5. The molecules with the largest detection rates, that is HCO+, HCN, c-C3H2, and H13CO+, are among the most abundant C-bearing species in the inner and local Galaxy (e.g. Saral et al. 2018; Gerner et al. 2014; Kim et al. 2020), and their high detection rate indicates that these species are also very abundant in the OG. The relatively high detection rate of HCO, together with that of c-C3H2, which are both believed to be tracers of photodissociation regions in massive cores (Kim et al. 2020), suggest that we are tracing likely the most extended envelope of the cores,

In addition to simple organics, we report four clear detections and two tentative detections of the complex hydrocarbon CH3CCH in the J = 5 − 4 rotational transition. The clear detections are obtained towards WB89-060, WB89-379, WB89-437, and WB89-621, while the tentative detections are obtained towards WB89-380 and WB89-789 (Table 3). In particular, WB89-789 is found to harbour a hot molecular core (Shimonishi et al. 2021) rich in COMs and is clearly detected with ALMA in molecules even more complex than CH3CCH, such as HCOOCH3, C2H5OH, and CH3OCH3. Hence, we consider this tentative detection reliable. Furthermore, CH3CCH is a known good thermometre of the intermediate density and temperature gaseous envelope of star-forming regions (e.g. Giannetti et al. 2017). However, only the K = 0 and 1 transitions are detected above the 3σ rms level and hence cannot be used to constrain the gas temperature accurately.

4.2 Occurrence of high velocity wings in the HCO+ (1–0) line profile

To investigate the presence of ongoing star-formation activity in our targets, we searched for high velocity emission in the wings of the HCO+ J = 1 − 0 line profiles, successfully used as tracers of protostellar outflows even at the large linear scales probed by our observations (-0.6–1.8 pc). In fact, even though proto-stellar cores have sizes typically of -0.1 pc, protostellar outflows are observed to be extended up to a few parsecs in HCO+ (e.g. López-Sepulcre et al. 2010; Sánchez-Monge et al. 2013). On the other hand, as discussed in López-Sepulcre et al. (2010), the HCO+ line wings trace the outflows closer to the sources driving them with respect to more abundant molecules (e.g. CO), which are more sensitive to the outer, lower density material. Another typical outflow tracer even at parsec scales is SiO (e.g. López-Sepulcre et al. 2011), but in our data the SiO lines are detected in a smaller number of sources and with a signal-to-noise ratio worse than in HCO+. Therefore, we first searched for outflows using the HCO+ lines, and then tried to check and confirm their presence in the SiO lines.

High velocity wings in the HCO+ J = 1 − 0 lines were identified fitting the lines with Gaussian profiles (one single Gaussian for lines with a single intensity peak, and double Gaussians for lines with two peaks), and we searched for deviations from the Gaussian shape in the high velocity red- and blue-shifted wings. Fig. B.1 shows all spectra superimposed on the best Gaussian fits in which several high velocity non-Gaussian wings are clearly identified. In Table 3, we report all sources that have evidence of high velocity wings. The line parameters obtained from the Gaussian fits are given in the table of Appendix B. Some spectra also show multiple velocity features (WB89-380, 19383+2711, 19571+3113, WB89-006, WB89-060, and WB89-080). In this paper, we use this line only for the purpose of establishing the presence (or absence) of high velocity wings. An extensive analysis of the HCO+ physical parameters, and of the outflow properties eventually associated with the sources with high velocity wings, is beyond the scope of this paper and will be performed in a forthcoming paper.

We detect high velocity wings in 16 targets, and tentatively towards nine targets, for a total of 25 sources (i.e. ~71%) likely associated with molecular outflows. We defined a non-Gaussian high velocity wing as tentatively detected if the excess emission with respect to the Gaussian fit is detected at 3–6 times the 1σ rms level. If the excess emission is above 6σ, the detection is considered as firm. Inspection of Table 3 indicates that most of the sources associated with high velocity wings in HCO+ J = 1 − 0 are detected in both SiO and SO. In particular, 13 out of the 16 sources detected in SiO are associated with HCO+ high velocity wings (~82%), and 21 out of the 23 sources detected in SO are associated with HCO+ high velocity wings (~91%). This clearly shows that the SiO and SO lines are also powerful probes of protostellar outflow activity in the lower metallicity environment of the OG. On the other hand, only 13 out of the 25 targets (~52%) associated with HCO+ high velocity wings are detected in SiO, and 21 out of 25 in SO (~84%). However, this statistical difference can be due to the fact that the SiO lines are less intense than the SO ones on average. In fact, the sources that show clear SiO emission tend to be associated with more intense HCO+ J = 1 −0 lines (average peak temperature of HCO+ J = 1−0 ~1.4 K and ~0.9 K in sources detected and undetected in SiO, respectively; compare Table 3 and Fig. B.1).

Table 3

Molecular lines of species detected in the spectral windows at 3 mm listed in Table 2 at a significance level well above 3s rms (Y) or comparable to 3s rms (Y?).

Table 4

Rest frequencies and other spectroscopic parameters of the detected molecular transitions.

4.3 Derivation of updated kinematic distances

We estimated new kinematic Galactocentric distances of the sources based on the velocities along the line of sight derived from the emission of c-C3H2 JKa,Kb${J_{{K_a},{K_b}}}$ = 212−10,1. The latter is assumed to be optically thin based on the expected low abundance of the species. The spectra used are shown in Fig. B.2. The lines are well fitted by a Gaussian profile in almost all sources, confirming that the assumption of optically thin emission is very likely satisfied. The fit results are shown in Table B.1. For two sources, 19571+3113 and 19383+2711, the c-C3H2 line shows two intensity peaks, which could be due to multiple velocity components or to (self-)absorption. Because two velocity features at the same peak velocities are also detected in other molecular lines, we consider the two peaks to be due to two gaseous clumps at a slightly different velocity along the line of sight, and we computed the kinematic distance for both.

For the sources that show a single peak in the spectrum of c-C3H2 and two peaks in that of HCO+, that is WB89-006, WB89-380, WB89-060, and WB89-080, this difference may be due to either the non-detection of the second, with a fainter velocity feature in c-C3H2, or to (self-)absorption in the HCO+ line (not present in the optically thin c-C3H2 line). In WB89-006 and WB89-380, the second option is the most likely one because the peak of the c-C3H2 line falls in between the two peaks detected in HCO+ (compare Figs. B.1 and B.2). On the other hand, for WB89-060 and WB89-080, the strongest peaks in both molecules coincide in velocity, and the second velocity feature seen in HCO+ but which is much fainter than the main one is likely under the noise in c-C3H2.

We use the revisited rotation curve of the Galaxy of Rousseil et al. (2017), given by Θ (RGC)/Θ = L022(RGC/R)0.0803, where Θ (RGC) is the rotation velocity at RGC, and R = 8.34 kpc and Θ = 240 km s−1 are the Galactocentric distance and rotation velocity of the Sun, respectively (Reid et al. 2014). The new Galactocentric distances, RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$, as well as the parameters used to estimate them are given in Table 6. We find a good agreement between RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$ and RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$ (given in Table 1), even though RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$ is always lower than RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$ by -0.1–1.5 kpc (i.e. by ~10% at most). This is likely due to the fact that for most objects the previous estimates were based on the rotation curve of Brand & Blitz (1993) and on previous estimates of the parameters of the solar motion Θ and R.

The uncertainty on RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$, calculated propagating the errors on Θ, R, and the line velocities, are of the order of ~5–10%. Table 6 also lists the heliocentric distances, d, calculated from RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$. They are in the range ~8.0–15.3 kpc, except for WB89-002, for which d ~ 3.1 kpc. As also discussed in Mège et al. (2021), the distances derived with this method can be influenced by a true rotation pattern of the Galaxy more complicated than that of the assumed rotation curve. Departures in velocity from circular rotation are typically of 10 km s−1 (Anderson et al. 2012; Wienen et al. 2015), but they can be as high as 40 km s−1 (Brand & Blitz 1993). Hence these estimates can be associated with uncertainties of a few kiloparsecs.

We also derived kinematic distances from the rotation curve of Reid et al. (2019). The values are given in Table C.1. They are on average smaller than, but consistent with, those given in Table 6 within a ~20–30% at most. The three largest differences are found in WB89-670, WB89-705, and WB89-002 for which, from the curve of Reid et al. (2019), d is smaller by about a factor 2, and RGC in WB89-670, WB89-705 is smaller by a factor 1.4. These are the nearest (WB89-002) and farthest (WB89-670 and WB89-705) targets of the sample, respectively. It is not straightforward to decide which rotation curve is most appropriate for the OG because both have not been sufficiently tested in this portion of the Milky Way. However, we decided to ultimately adopt the distances derived from the curve of Rousseil et al. (2017) to be consistent with the approach used for the Hi-GAL catalogue. In fact, in our discussion, we adopt some distance-dependent parameters given in Hi-GAL (Table 1), which were computed, when possible, using the rotation curve of Rousseil et al. (2017). Of course, when discussing possible observational Galactocen-tric trends, we have to take with caution any trend particularly influenced by WB89-670, WB89-705, and WB89-002. From the N(H2) averaged within 44″ (Blair et al. 2008, Table 1), and taking the heliocentric distances into account (Table 6), we estimate that the average H2 volume densities on such an angular scale are of the order of 103 cm−3.

Table 5

Detection rate for the molecular lines detected in the spectral windows at 3 mm (Table 2).

Table 6

New Galactocentric RGCnew$\left({R_{{\rm{GC}}}^{{\rm{new}}}} \right)$ and heliocentric (d) distances computed from the peak velocity (Vp) of the c-C3H2 JKa,Kb${J_{{K_a},{K_b}}}$ = 21,2-10,1 line as explained in Sect. 4.3.

5 Discussion

5.1 Statistical analysis

Here, we analyse the detection of the various molecular species statistically as a function of the physical properties of the targets, that is: updated Galactocentric and heliocentric distance (Table 6), H2 column density (Table 1), and, for the sources belonging to the Hi-GAL catalogue, mass, luminosity, and luminosity-to-mass ratio (Table 1). A thorough analysis of each molecular species and of the parameters that can be derived from them (in particular column densities and abundances) goes beyond the scope of this initial paper and will be performed in forthcoming papers.

Figure 2 shows the histograms with the detected and undetected sources in each molecular tracer as a function of RGC (left panels) and d (right panels). We include only molecular species for which the detection rate is in between 20–80%, so that the statistical comparison between the two groups (detected and undetected sources) is possible. The distribution for detected and undetected sources is similar, and also similar to the total one for all molecules. Marginal differences between the two distributions are tentatively seen in C4H and NH2D, but the detected sources are less than ~30% in both molecules and hence the comparison must be very cautious here.

Figures 3 and 4 investigate, for each species, statistically significant differences for detected and undetected sources as a function of M, L, luminosity-to-mass ratio (L/M), and N(H2). In particular, L/M is often used as an evolutionary tracer because it is expected to increase with time, as the envelope mass decreases while the bolometric luminosity increases during collapse. Overall, we also do not find clear differences between the distribution of detected and undetected sources in this case even though the sources with high L and N(H2) tend to always be detected. We suggest a tentative, but interesting, difference in the plots showing the results for SiO: the sources associated with SiO emission tend to have higher M, L, and N(H2). This could be interpreted as the result of a more active star-formation activity in the most luminous and massive objects, as already suggested by López-Sepulcre et al. (2011) in 57 high mass molecular clumps mostly located in the inner Galaxy.

In this respect, we also investigated if the presence of high velocity blue- and red-shifted emission in the HCO+ J = 1−0 line somehow depends on RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$, d, and/or N(H2). Figure 5 shows the comparative histograms which, overall, again do not show a clear difference between the distribution of detected and undetected sources as a function of the mentioned parameters, indicating once more that protostellar activity does not seem to depend on RGC. Very similar distributions are also found for detected and undetected sources as a function of N(H2), even though the detected sources tend to be associated with sources with higher N(H2), which can be due to sensitivity reasons: the high velocity wings are detected more easily towards more massive outflows. As for possible differences between sources with or without wings as a function of M, L, and L/M, unfortunately, only two sources with available M and L are undetected in HCO+ high velocity wings (WB89-083 and WB89-529), hence a statistical comparison cannot be performed.

thumbnail Fig. 2

Histograms comparing the Galactocentric (left panels) and heliocentric (right panels) distance for detected (solid line) and undetected (red-dashed line) sources in the molecular species labelled in the top right corner of each panel. The top left panel includes the whole sample without distinguishing between detections and non-detections. Poissonian errorbars are given in each bin.

thumbnail Fig. 3

Same as Fig. 2, but for H2 mass (M, left panels) and the bolometric luminosity (L, right panels). Both parameters were derived from Herschel observations and are given in Table 1.

thumbnail Fig. 4

Same as Fig. 3, but for the luminosity-to-mass ratio (L/M, left panels) and the H2 column density (N(H2), right panels). The latter, derived by Blair et al. (2008), is given in Table 1.

5.2 Towards a redefinition of the Galactic habitable zone?

Our study clearly supports previous claims that organic molecules and tracers of protostellar activity are ubiquitous in the Galaxy (Blair et al. 2008, Bernal et al. 2021). As said in Sect. 1, the outermost edge of the Milky Way was believed to be a hostile environment for both planets and (biogenic) organic molecules because the metallicity, that is the abundance of elements heavier than helium, is too low. Hence, the OG was excluded from the GHZ. The latter was defined as the region with the most favourable conditions for the development and long-term maintenance of complex life comparable to terrestrial animals and complex plants (Gonzalez et al. 2001).

Based on this definition, two properties were invoked: (1) a sufficient amount of heavy elements to form rocky planets and the basic bricks of biogenic molecules, and (2) a low concentration of high energy, potentially disruptive events such as supernovae and gamma-ray bursts, which may cause life perturbation and extinction. Property (1) sets the outer boundaries of the GHZ, which depends on the metallicity gradient in the radial disc. Property (2) sets the inner boundaries, as the concentration of potentially disruptive events would decrease with the distance from the centre of the Milky Way. Combining these two requirements, the GHZ of the Milky Way was proposed to be an annulus of a few kiloparsecs centred at 8 kpc from the Galactic centre (Spitoni et al. 2017), even though a debate is ongoing on this subject. For example, Spinelli et al. (2021) have proposed that the boundaries of the GHZ change with Galaxy evolution, and that in the last four billion years the safer region to avoid disruptive events is RGC - 2–8 kpc, while the OG was safer for the development of living organisms before that time.

Therefore, the boundaries of the GHZ are not rigid limits but rather based on probability arguments, and the ubiquitous presence of rocky planets in the Galaxy, independent of the metallicity of the host environment (see Sect. 1 and references therein), shows the need for another discussion, at least of property (1). The idea of a redefinition of the GHZ has already been discussed in Blair et al. (2008) and Bernal et al. (2021), based on observations of single organic molecules (H2CO in Blair et al. 2008, CH3OH in Bernal et al. 2021) in the OG. The CHEMOUT project, thanks to observations of multiple species and lines, obtained with the same setup(s) for all sources, place us in a position to expand this discussion by comparing in a consistent way the observational properties of many molecules (possibly) chemically connected. In future papers, by comparing key observational parameters (in particular column densities and fractional abundances) with chemical models with adapted metallicity, we will better understand what the main formation routes are and whether they are similar to or different from those known to be efficient in the local and inner Galaxy. In this respect, the partial results presented in this work, and the similar recent observational findings of Bernal et al. (2021), suggest that the capacity of the environment to form organic (both simple and complex) molecules is independent of metallicity. Thus, the outer boundaries of the GHZ are likely much wider than previously claimed because the basic bricks of organic chemistry can be easily found even at the outer edge of the Milky Way.

thumbnail Fig. 5

Histograms showing the distribution of the sources associated with (solid line) or not associated with (red-dashed line) HCO+ J = 1-0 high velocity wings as a function of RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$, d, and N(H2)). Sources tentatively associated with wings are included in the solid-line histograms.

6 Conclusions

With the IRAM-30m telescope, we have searched for emission of simple organic molecules and tracers of star-formation activity in 35 star-forming regions of the OG. Their (updated) Galactocentric distances are in between ~8.7 and ~23.4 kpc. We report the detection of several simple organic molecules (HCN, HCO+, H13CO+, HCO, HCS+, and C4H) and of the complex hydrocarbon CH3CCH. We also detected transitions of SO, CCS, NH2D, and SiO. In the HCO+ J = 1 − 0 line profiles, we detected high velocity blue- and red-shifted emission in 25 sources (71%), indicating the presence of protostellar outflows in a large fraction of the targets. Moreover, most of the sources showing emission in SiO and SO are associated with high velocity wings in HCO+, indicating that also in the low metal-licity environment of the OG these molecular species are good tracers of outflows and protostellar activity. We have investigated whether the detection in the various molecules depends on some physical properties of the sources, such as RGC, d, M, L, L/M, and N(H2). Overall, no clear trends have been found, indicating that the presence of the molecules analysed in this work do not depend on either the Galactocentric distance or on other physical parameters, even though in some cases the statistics is low and does not allow us to derive firm conclusions. Similarly, no significant differences have been found between sources with or without high velocity blue- and red-shifted wings in the HCO+ line profiles. We suggest a tentative difference for SiO for which the detected sources are more likely associated with more massive and luminous objects. Our study clearly supports previous claims that organic molecules and tracers of protostellar activity are ubiquitous in the Galaxy. Our results and the additional growing evidence that the formation of terrestrial planets is possible also at low metallicity put into question former, stringent definitions of GHZ, in which the capacity of the environment to form both organic and other pre-biotic molecules is not taken into account.

Acknowledgements

F.F. is grateful to the IRAM 30 m staff for their precious help during the observations. This publication has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement no. 730562 (RadioNet). L.C. and V.M.R. acknowledge support from the Comunidad de Madrid through the Atracción de Talento Investigador Modal-idad 1 (Doctores con experiencia) Grant (COOL: Cosmic Origins of Life; 2019-T1/TIC-15379).

Appendix A Spectrum and line intensities of WB89-437

In this appendix, we show the full spectrum observed at 3 mm towards WB89-437 (Fig. A.1), and zoomed spectral windows around the faintest detected lines (Fig. A.2). The intensities of the detected transitions are listed in Table A.1.

thumbnail Fig. A.1

Full 3 mm spectrum obtained towards WB89-437. Detected lines of the molecules listed in Table 3 are indicated. The spectral parameters of all transitions are given in Table 4.

thumbnail Fig. A.2

Selected spectral windows around faint lines in the spectrum at 3 mm of WB89-437. The blue curve in each panel shows the best Gaussian fit to the detected lines.

Table A.1

Peak intensities in K (TMB units) of the transitions detected towards WB89-437 (Figs. A.1 and A.2), obtained from Gaussian fits performed with CLASS. The calibration errors are indicated in parentheses.

Appendix B Gaussian analysis of the HCO+ and c-C3H2 lines

We show in this appendix the spectra of HCO+ J = 1 − 0 and c-C3H2 JKa,Kb${J_{{K_a},{K_b}}}$ = 21,2 − 10,1 (Figs. B.1 and B.2), analysed in Sects. 4.2 and 4.3, respectively, and the line parameters obtained from Gaussian fits to the lines (Tables B.1 and B.2).

thumbnail Fig. B.1

Spectra of HCO+ J = 1 − 0 obtained with the IRAM-30m telescope towards the sources listed in Table 1. The blue curve in each frame represents the best Gaussian fit to the line. For spectra with two intensity peaks, a double Gaussian fit has been performed. In some cases, the y-axis has been reduced to highlight the (tentative) red- and blue-shifted high velocity non-Gaussian wings.

thumbnail Fig. B.2

Same as Fig. B.1, but for c-C3H2 JKa,Kb${J_{{K_a},{K_b}}}$ = 21,2 − 10,1.

Table B.1

Best fit parameters from Gaussian fits to the HCO+ J = 1 − 0 lines shown in Fig. B.1. Uncertainties derived from the fitting procedure are provided in parentheses.

Table B.2

Best fit parameters from Gaussian fits to the c-C3H2 JKa,Kb = 212 − 101 lines shown in Fig. B.2. Uncertainties derived from the fitting procedure are provided in parentheses.

Appendix C Kinematic distances derived from Reid et al. (2019).

Kinematic distances calculated from the rotation curve of Reid et al. (2019) are given in Table C.1.

Table C.1

Kinematic Galactocentric and heliocentric distances derived from the rotation curve of Reid et al. (2019).

References

  1. Amarsi, A. M., Nissen, P. E., & Skúladóttir, Á. 2019, A&A, 630, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Anderson, L. D., Bania, T. M., Balser, D. S., & Rood, R. T. 2012, ApJ, 754, 62 [NASA ADS] [CrossRef] [Google Scholar]
  3. Berg, T. A. M., Ellison, S. L., Sánchez-Ramírez, R., et al. 2016, MNRAS, 463, 3021 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bernal, J. J., Sephus, C. D., Ziurys, L. M. 2021, ApJ, 922, 106 [NASA ADS] [CrossRef] [Google Scholar]
  5. Blair, S. K., Magnani, L., Brand, J., & Wouterloot, J. G. A. 2008, AsBio, 8, 59 [NASA ADS] [Google Scholar]
  6. Brand, J., & Blitz, L. 1993, A&A, 275, 67 [NASA ADS] [Google Scholar]
  7. Caselli, P., & Ceccarelli, C. 2012, A&ARv, 20, 56 [Google Scholar]
  8. Cesaroni, R., Beltrán, M. T., Zhang, Q., Beuther, H., & Fallscheer, C. 2011, A&A, 533, A73 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Colzi, L., Fontani, F., Rivilla, V. M. 2018, MNRAS, 478, 3693 [Google Scholar]
  10. Dame, T. M., Hartmann, D., & Thaddeus, P. 2001, ApJ, 547, 792 [Google Scholar]
  11. Eistrup, C., Walsh, C., & van Dishoeck, E. F. 2018, A&A, 613, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Elia, D., Molinari, S., Fukui, Y., et al. 2013, ApJ, 772, 45 [NASA ADS] [CrossRef] [Google Scholar]
  13. Elia, D., Merello, M., Molinari, S., et al. 2021, MNRAS, 504, 2742 [NASA ADS] [CrossRef] [Google Scholar]
  14. Endres, P., Schlemmer, S., Schilke, P., Stutzki, J., & Müller, H. S. P. 2016, J. Mol. Spectro., 327, 95 [NASA ADS] [CrossRef] [Google Scholar]
  15. Esteban, C., & Garcia-Rojas, J. 2018, MNRAS, 478, 2315 [NASA ADS] [CrossRef] [Google Scholar]
  16. Esteban, C., Fang, X., García-Rojas, J., & Toribio San Cipriano, L. 2017, MNRAS, 471, 987 [NASA ADS] [CrossRef] [Google Scholar]
  17. Fontani, F., Ceccarelli, C., Favre, C., et al. 2017, A&A, 605, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Gerner, T., Beuther, H., Semenov, D., et al. 2014, A&A, 563, A97 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Giannetti, A., Leurini, S., Wyrowski, F., et al. 2017, A&A, 603, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Gonzalez, G., Brownlee, D., & Ward, P. 2001, Icarus, 152, 185 [Google Scholar]
  21. Hernandez-Hernandez, V., Kurtz, S., Kalenskii, S., et al. 2019, AJ, 158, 18 [NASA ADS] [CrossRef] [Google Scholar]
  22. Kim, W.-J., Wyrowski, F., Urquhart, J. S., et al. 2020, A&A, 644, A160 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Kutner, M. L., & Ulich, B. L. 1981, ApJ, 250, 341 [NASA ADS] [CrossRef] [Google Scholar]
  24. Kutra, T., Wu, Y., & Qian, Y. 2021, AJ, 162, 69 [NASA ADS] [CrossRef] [Google Scholar]
  25. López-Sepulcre, A., Cesaroni, R., & Walmsley, C. M. 2010, A&A, 517, A66 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. López-Sepulcre, A., Walmsley, C.M., Cesaroni, R., et al. 2011, A&A, 526, L2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Maliuk, A., & Budaj, J. 2020, A&A, 635, A191 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Magrini, L., Vincenzo, F., Randich, S., et al. 2018, A&A, 618, A102 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Mège, P., Russeil, D., Zavagno, A., et al. 2021, A&A, 646, A74 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Molinari, S., Schisano, E., Elia, D., et al. 2016, A&A, 591, A149 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Mulders, G. D. 2018, Planet Populations as a Function of Stellar Properties, Handbook of Exoplanets, ed. H. J. Deegand Juan Antonio Belmonte (Springer Living Reference Work), 2017, 153 [Google Scholar]
  32. Pacetti, E., Balbi, A., Lingam, M., Tombesi, F., & Perlman, E. 2020, MNRAS, 498, 3153 [NASA ADS] [CrossRef] [Google Scholar]
  33. Pickett, H. M., Poynter, R. L., Cohen, E. A., et al. 1998, J. Quant. Spectr. Rad. Transf., 60, 883 [Google Scholar]
  34. Piran, T., & Jiménez, R. 2014, Phys. Rev. Lett., 113, 231102 [NASA ADS] [CrossRef] [Google Scholar]
  35. Prantzos, N. 2008, Space Sci. Rev., 135, 313 [NASA ADS] [CrossRef] [Google Scholar]
  36. Ramírez, I., Asplund, M., Baumann, P., Meléndez, J., & Bensby, T. 2010, A&A, 521, A33 [Google Scholar]
  37. Reid, M. J., Menten, K. M., Brunthaler, A., et al. 2014, ApJ, 783, 130 [Google Scholar]
  38. Reid, M. J., Menten, K. M., Brunthaler, A., et al. 2019, ApJ, 885, 131 [Google Scholar]
  39. Rivilla, V. M., Beltrán, M. T., Vasyunin, A., et al. 2019, MNRAS, 483, 806 [NASA ADS] [CrossRef] [Google Scholar]
  40. Rousseil, D., Zavagno, A., Mége, P., et al. 2017, A&A, 601, L5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Sánchez-Monge, Á., López-Sepulcre, A., Cesaroni, R., et al. 2013, A&A, 557, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Saral, G., Audard, M., & Wang, Y. 2018, A&A, 620, A158 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Sewiło, M., Indebetouw, R., Charnley, S. B., et al. 2018, ApJ, 853, L19 [CrossRef] [Google Scholar]
  44. Shimonishi, T., Watanabe, Y., Nishimura, Y., et al. 2018, ApJ, 891, 164 [Google Scholar]
  45. Shimonishi, T., Izumi, N., Furuya, K., & Yasui, C. 2021, ApJ, 922, 206 [NASA ADS] [CrossRef] [Google Scholar]
  46. Spinelli, R., Ghirlanda, R., Haardt, F., Ghisellini, G., & Scuderi, G. 2021, A&A, 647, A41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Spitoni, E., Matteucci, F., & Sozzetti, A. 2014, MNRAS, 440, 2588 [NASA ADS] [CrossRef] [Google Scholar]
  48. Spitoni, E., Gioannini, L., & Matteucci, F. 2017, A&A, 605, A38 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. van der Tak, F. F. S., van Dishoeck, E. F., & Caselli, P. 2000, A&A, 361, 327 [NASA ADS] [Google Scholar]
  50. Vukotic, B., Steinhauser, D., Martinez-Aviles, G., et al. 2016, MNRAS, 459, 3512 [NASA ADS] [CrossRef] [Google Scholar]
  51. Wienen, M., Wyrowski, F., Menten, K. M., et al. 2015, A&A, 579, A91 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]

All Tables

Table 1

Source parameters extracted from Table 1 of Blair et al. (2008).

Table 2

Spectral windows observed and observational parameters.

Table 3

Molecular lines of species detected in the spectral windows at 3 mm listed in Table 2 at a significance level well above 3s rms (Y) or comparable to 3s rms (Y?).

Table 4

Rest frequencies and other spectroscopic parameters of the detected molecular transitions.

Table 5

Detection rate for the molecular lines detected in the spectral windows at 3 mm (Table 2).

Table 6

New Galactocentric RGCnew$\left({R_{{\rm{GC}}}^{{\rm{new}}}} \right)$ and heliocentric (d) distances computed from the peak velocity (Vp) of the c-C3H2 JKa,Kb${J_{{K_a},{K_b}}}$ = 21,2-10,1 line as explained in Sect. 4.3.

Table A.1

Peak intensities in K (TMB units) of the transitions detected towards WB89-437 (Figs. A.1 and A.2), obtained from Gaussian fits performed with CLASS. The calibration errors are indicated in parentheses.

Table B.1

Best fit parameters from Gaussian fits to the HCO+ J = 1 − 0 lines shown in Fig. B.1. Uncertainties derived from the fitting procedure are provided in parentheses.

Table B.2

Best fit parameters from Gaussian fits to the c-C3H2 JKa,Kb = 212 − 101 lines shown in Fig. B.2. Uncertainties derived from the fitting procedure are provided in parentheses.

Table C.1

Kinematic Galactocentric and heliocentric distances derived from the rotation curve of Reid et al. (2019).

All Figures

thumbnail Fig. 1

Plan view of the Galactic disc showing the location of the sources in Table 1 (filled points) after recalculating their Galactocentric and heliocentric distances (Sect. 4.3). The Sun is marked by the red circled point, and the Galactic centre is pinpointed by the blue cross. The Solar circle is shown by the red dashed curve. The blue dotted circles correspond to Galactocentric distances of 10, 15, 20, and 25 kpc.

In the text
thumbnail Fig. 2

Histograms comparing the Galactocentric (left panels) and heliocentric (right panels) distance for detected (solid line) and undetected (red-dashed line) sources in the molecular species labelled in the top right corner of each panel. The top left panel includes the whole sample without distinguishing between detections and non-detections. Poissonian errorbars are given in each bin.

In the text
thumbnail Fig. 3

Same as Fig. 2, but for H2 mass (M, left panels) and the bolometric luminosity (L, right panels). Both parameters were derived from Herschel observations and are given in Table 1.

In the text
thumbnail Fig. 4

Same as Fig. 3, but for the luminosity-to-mass ratio (L/M, left panels) and the H2 column density (N(H2), right panels). The latter, derived by Blair et al. (2008), is given in Table 1.

In the text
thumbnail Fig. 5

Histograms showing the distribution of the sources associated with (solid line) or not associated with (red-dashed line) HCO+ J = 1-0 high velocity wings as a function of RGCnew$R_{{\rm{GC}}}^{{\rm{new}}}$, d, and N(H2)). Sources tentatively associated with wings are included in the solid-line histograms.

In the text
thumbnail Fig. A.1

Full 3 mm spectrum obtained towards WB89-437. Detected lines of the molecules listed in Table 3 are indicated. The spectral parameters of all transitions are given in Table 4.

In the text
thumbnail Fig. A.2

Selected spectral windows around faint lines in the spectrum at 3 mm of WB89-437. The blue curve in each panel shows the best Gaussian fit to the detected lines.

In the text
thumbnail Fig. B.1

Spectra of HCO+ J = 1 − 0 obtained with the IRAM-30m telescope towards the sources listed in Table 1. The blue curve in each frame represents the best Gaussian fit to the line. For spectra with two intensity peaks, a double Gaussian fit has been performed. In some cases, the y-axis has been reduced to highlight the (tentative) red- and blue-shifted high velocity non-Gaussian wings.

In the text
thumbnail Fig. B.2

Same as Fig. B.1, but for c-C3H2 JKa,Kb${J_{{K_a},{K_b}}}$ = 21,2 − 10,1.

In the text

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