ABSTRACT
Complex organic molecules (COMs) are known to be abundant toward some low-mass young stellar objects (YSOs), but how these detections relate to typical COM abundance are not yet understood. We aim to constrain the frequency distribution of COMs during low-mass star formation, beginning with this pilot survey of COM lines toward six embedded YSOs using the IRAM 30 m Telescope. The sample was selected from the Spitzer c2d ice sample and covers a range of ice abundances. We detect multiple COMs, including CH3CN, toward two of the YSOs, and tentatively toward a third. Abundances with respect to CH3OH vary between 0.7% and 10%. This sample is combined with previous COM observations and upper limits to obtain a frequency distributions of CH3CN, HCOOCH3, CH3OCH3, and CH3CHO. We find that for all molecules more than 50% of the sample have detections or upper limits of 1%–10% with respect to CH3OH. Moderate abundances of COMs thus appear common during the early stages of low-mass star formation. A larger sample is required, however, to quantify the COM distributions, as well as to constrain the origins of observed variations across the sample.
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1. INTRODUCTION
Interstellar complex organic molecules or COMs3 are the proposed starting point of an even more complex, prebiotic chemistry during star and planet formation, linking interstellar chemistry with the origins of life (Herbst & van Dishoeck 2009). Determining COM abundance patterns are important to constrain the reservoirs of organic material during the formation of stars and planetary systems, and to elucidate COM formation mechanisms. COMs were first detected in the hot cores associated with high-mass star formation (e.g., Blake et al. 1987; Helmich & van Dishoeck 1997), but during the past decade COMs have been detected in an increasingly diverse set of environments, including pre-stellar cores, protostellar envelopes, outflows, and hot cores in low-mass star-forming regions (Cazaux et al. 2003; Bottinelli et al. 2004b, 2007; Arce et al. 2008; Öberg et al. 2010b, 2011b; Bacmann et al. 2012; Cernicharo et al. 2012). These detections suggest the existence of robust formation pathways of COMs, and hence that COMs might be common during the formation of low-mass or solar-type stars.
Based on the observed abundances of COMs and the diversity of their hosts, most complex molecules are proposed to form on the surfaces of interstellar dust grains and in icy grain mantles (Herbst & van Dishoeck 2009). Atom addition reactions on grains should be efficient at all temperatures, but may be mainly important to form smaller organics such as CH3OH. Ice photodissociation followed by diffusion and radical–radical combination reactions in the ice should result in an efficient formation of complex molecules at slightly elevated temperatures (T > 30 K; Garrod & Herbst 2006; Herbst & van Dishoeck 2009). In this scenario, both the initial ice composition and the level of heating and UV processing should impact on the amount of complex molecules observed in a particular source. This scenario is supported by observations on that the initial ice composition is correlated with protostellar chemistry (Öberg et al. 2009; Sakai et al. 2010), and claims of a different COM abundance pattern toward low-mass and high-mass young stellar objects (YSOs; Öberg et al. 2011a; Caselli & Ceccarelli 2012). These claims suffer from small-number-statistics, however; there are only ∼10 low-mass YSOs with reported detections of COMs, and the abundance distributions of COMs during low-mass star formation is therefore poorly constrained.
In this paper, we present the result of a six-object pilot survey of COMs toward low-mass protostars using the IRAM 30 m Telescope. The sample is presented in Section 2, and the observations and data reduction are described in Section 3. In Section 4, we present an overview of the spectral line data. We determine the column densities and, where possible, excitation temperatures of CH3OH and detected COMs. We then use these new results together with existing literature detections and upper limits of representative COMs to obtain a first estimate of the frequency distribution of COMs toward low-mass YSOs. The results are compared with models and massive YSO chemistry in Section 5.
2. SOURCE SAMPLE
Our sources were selected from the c2d (cores to disk) ice sample (Boogert et al. 2008). The c2d ice sample is a sub-sample of the c2d survey of YSOs in nearby star-forming regions, i.e., the Perseus, Taurus, Serpens, and Corona Australis molecular cloud complexes, and a number of nearby isolated dense cores (Evans et al. 2003). The spectral energy distributions (SEDs) of the ice sample span a range of infrared (IR) spectral indices, α = (− 0.25) − 2.70, where α is defined as the slope between 2 and 24 μm. In the IR classification scheme α > 0.3 defines class 0/I sources (Wilking et al. 2001), which are often, but not always, associated with young, embedded YSOs.
From this sample we considered sources on the northern sky with α > 0.3, a H2O ice column >2 × 1018 cm−2, i.e., young embedded low-mass protostars. From the 19 objects that fulfill these criteria in the c2d ice sample, we selected six sources that sample the observed range of ice abundances, based on CH3OH/NH3 and CH3OH/H2O abundance ratios. Table 1 lists the source coordinates, bolometric luminosities, envelope masses, and the IR SED indices, together with the ice abundances. B1-b, which was the target of a previous COM search, is also included in the table (Öberg et al. 2010b). Together these seven sources span H2O ice column densities between 2 and 14 × 1018, which can be compared with the complete c2d ice sample, where cm−2. The sources come from three different clouds, Perseus, Taurus, and Serpens, and where measured the envelopes are a few solar masses and the luminosities between one and tens of solar luminosities. , which is similar to the complete sample and so is range of ratios .
Table 1. Source Information
Source | R.A. | Decl. | Cloud | Lbola, b, c | Menva, b, c | αIRd | d | d | e | f |
---|---|---|---|---|---|---|---|---|---|---|
(J2000.0) | (J2000.0) | (L☉) | (M☉) | 1018 cm−2 | % | % | % | |||
IRAS 03235+3004 | 03 26 37.45 | +30 15 27.9 | Perseus | 1.9 | 2.4 | 1.44 | 14[2] | 4.2[1.2] | 4.7[1.0] | 4.3[1.4] |
B1-a | 03 33 16.67 | +31 07 55.1 | Perseus | 1.3 | 2.8 | 1.87 | <1.9 | 3.3[1.0] | <5.8 | |
B1-b | 03:33:20.34 | 31:07:21.4 | Perseus | – | 26 | 0.68 | 18[3] | 11.2[0.7] | 4.2[2.0] | 3.3[0.6] |
B5 IRS 1 | 03 47 41.61 | +32 51 43.8 | Perseus | 4.7 | 4.2 | 0.78 | 2.3[0.3] | <3.7 | <2.1 | – |
L1489 IRS | 04 04 43.07 | +26 18 56.4 | Taurus | 3.7 | – | 1.10 | 4.3[0.5] | 4.9[1.5] | 5.4[1.0] | 3.1[0.2] |
IRAS 04108+2803 | 04 13 54.72 | +28 11 32.9 | Taurus | 0.62 | – | 0.90 | 2.9[0.4] | <3.5 | 4.3[1.0] | <10 |
SVS 4-5 | 18 29 57.59 | +01 13 00.6 | Serpens | 38 | 3.5 | 1.26 | 5.7[1.1] | 25[4] | 4.3[2.0] | 6.1[1.7] |
Notes. aPontoppidan et al. (2004). bHatchell et al. (2007). cFurlan et al. (2008). dBoogert et al. (2008). eBottinelli et al. (2010). fÖberg et al. (2008).
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None of the selected sources have been searched for COMs previously, but several have been detected in CH3OH (Öberg et al. 2009), which is known to correlate with O-bearing COMs in hot cores (Bisschop et al. 2007). In summary, this is a small sample, but it has been selected to be as representative as possible from the larger c2d ice sample and should thus provide a first constraint on the prevalence of complex organics during the embedded phases of low-mass star formation.
3. OBSERVATIONS
IRAS 03235+3004, B1-a, B5 IRS 1, L1489 IRS, IRAS 04108+2803, and SVS 4-5 were observed with the IRAM 30 m Telescope on 2013 June 12–16 using the EMIR 90 GHz receiver and the Fourier Transform Spectrometer (FTS) backend. The two sidebands cover 93–101 GHz and 109–117 GHz at a spectral resolution of 200 kHz or ∼0.5–0.6 km s−1 (Figure 1) and with a sideband rejection of −15dB (Carter et al. 2012). This spectral set-up was selected because of the potential large number of complex organic lines at these frequencies, and the presence of the CH3OH 2–1 ladder.
The pointing positions are listed in Table 1, and pointing was checked every 1–2 hr and found to be accurate within 2''–3''. Focus was checked every 4 hr, and generally remained stable through most of the observations, i.e., corrections of <0.4 mm. Observations were acquired using both the position switching and wobbler switching modes. The position switching mode was attempted because of possible extended emission, but was found to have severe baseline instabilities. Comparison of the wobbler and position switch spectra revealed no significant absorption in the wobbler off-position in any of the sources, hence we only used the higher-quality wobbler spectra in this paper. The total integration time in the wobbler mode was ∼2–5 hr for each source, under average to good summer weather conditions (τ = 0.1–0.4), resulting in a rms of 3.5–7 mK in the lower sideband. B5 IRS1 and L1489 IRS were the only two sources with an rms above 5 mK.
The spectra were reduced using CLASS (http://www.iram.fr/IRAMFR/GILDAS). A global baseline was fit to each 4 GHz spectral chunk using four to seven windows. The individual scans were baseline subtracted and averaged. To convert from antenna temperature, , to main beam temperature, Tmb, forward efficiencies and beam efficiencies of 0.95 and 0.81 were applied. The spectra were converted to rest frequency using literature source velocities, fine-tuned using the frequencies of the CH3OH 2–1 ladder. The absolute calibration of the spectra was also checked by comparing the CH3OH 2–1 ladder with previous observations of some of the same sources, and were found to agree within 10% (Öberg et al. 2009).
4. RESULTS
4.1. Spectral Analysis
Figure 1 shows the complete 16 GHz spectra toward all six sources, ordered in terms of line richness. Two of the YSOs, SVS 4-5 and B1-a, stand out as particularly line rich. Both sources are in the vicinity of two other YSOs, SMM4 and B1-b, that are known hosts of complex molecules. Of the remaining four sources, B5 IRS1 and IRAS 03235+2004 are more line dense compared to the two Taurus sources L1489 IRS and IRAS 04108+2803.
These differences in line density seems correlated with the strength of the CH3OH 2–1 ladder as shown in Figure 2. SVS 4-3 and B1-a both display strong CH3OH lines, B5 IRS1 moderate ones, and IRAS 03235, IRAS 04108, and L1489 IRS very weak lines (peak intensities <0.2 K). In addition to the 2–1 lines, there are a handful of other CH3OH lines throughout the observed frequency range with excitation energies of 6–83 K (as well as higher energy lines which are not detected toward any source). Table 2 lists the integrated line intensities or 3σ upper limits of all CH3OH lines detected toward at least one source. The integrated intensities were determined using IDL and MPFIT to fit Gaussians to the expected line positions. The 1σ integrated line intensity uncertainties were extracted from the fit procedure and are often larger than the 1σ rms because it includes the fit uncertainty. 3σ upper limits were determined using the rms in each 4 GHz chunk and the average CH3OH line FWHM (Table 3) for each source. Table 2 also presents the integrated line intensities of two 13CH3OH lines detected toward B1-a and SVS 4-5.
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Standard image High-resolution imageTable 2. Integrated CH3OH Line Intensities in K km s−1
Freq | QN | Eup | B1-a | SVS 4-5 | B5 IRS1 | IRAS 03235 | IRAS 04108 | L1489 IRS |
---|---|---|---|---|---|---|---|---|
12CH3OH | ||||||||
95.169 | 808–717 | 83 | 0.119[0.012] | 0.297[0.012] | 0.030[0.009] | 0.016[0.011] | <0.013 | <0.019 |
95.914 | 212–111 | 21 | 0.102[0.012] | 0.100[0.017] | 0.033[0.019] | <0.011 | 0.017[0.012] | <0.019 |
96.739 | 212–111 | 12 | 2.280[0.010] | 3.325[0.019] | 0.293[0.012] | 0.161[0.006] | 0.186[0.009] | 0.092[0.014] |
96.741 | 202–101 | 6 | 3.113[0.009] | 3.272[0.015] | 0.514[0.009] | 0.179[0.085] | 0.225[0.014] | 0.116[0.010] |
96.745 | 202–101 | 20 | 0.509[0.010] | 0.487[0.015] | 0.057[0.124] | <0.011 | 0.017[0.008] | <0.019 |
96.756 | 211–110 | 28 | 0.113[0.010] | 0.138[0.018] | <0.018 | <0.011 | <0.013 | <0.019 |
97.583 | 211–110 | 21 | 0.119[0.009] | 0.118[0.015] | <0.018 | <0.011 | <0.013 | <0.019 |
108.894 | 000–111 | 13 | 0.437[0.011] | 0.429[0.018] | 0.080[0.022] | <0.012 | <0.013 | <0.021 |
13CH3OH | ||||||||
94.405 | 212–111 | 12 | 0.040[0.009] | 0.047[0.012] | <0.018 | <0.011 | <0.013 | <0.019 |
94.407 | 202–101 | 7 | 0.052[0.0012] | 0.043[0.013] | <0.018 | <0.011 | <0.013 | <0.019 |
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Table 3. Line FWHM with Standard Deviations
Source | FWHM |
---|---|
[km s−1] | |
B1-a | 1.6[0.4] |
SVS 4-5 | 3.7[0.7] |
B5 IRS1 | 0.8[0.1] |
IRAS 03235 | 0.9[0.5] |
IRAS 04108 | 1.2[0.6] |
L1489 IRS | 1.6[1.0] |
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Figure 3 shows that in the case of SVS 4-5 (and B1-a) the multitude of weak lines hinted at in Figure 1 are to a large degree associated with the COMs HNCO, H2CCO, CH3CHO, CH3OCH3, and CH3CN. Line identifications were made using the Splatalogue web tool drawing upon the CDMS and JPL spectral databases (Pickett et al. 1998; Müller et al. 2001). Other lines are identified with simple molecules, CH3OH and carbon chains (carbon chain abundances will be the topic of a future publication).
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Standard image High-resolution imageFigure 4 shows blow-ups of the spectral regions with the strongest lines of the six complex organics detected toward at least one source. HNCO is detected toward all sources in the sample. CH3CHO and CH3CN are clearly detected toward SVS 4-5 and B1-a, and marginally toward B5 IRS1. CH3OCH3 is only detected toward B1-a. H2CCO is detected toward B1 a, SVS 4-5, IRAS 03235, and IRAS 04108. HCOOCH3 is marginally detected toward SVS 4-5 and B1-a (the reality of these 3σ detections are supported by several more marginal detections throughout the spectral range). In general, we claim marginal detections for line intensities that exceed the 3σ upper limit for that source and sideband. To count as a clear detection we furthermore require that the Gaussian fit is sufficiently well-defined to result in an integrated intensity estimate of 30% or less. Table 4 lists the detected COM line intensities and upper limits, calculated using Gaussian fits as described for CH3OH lines above.
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Standard image High-resolution imageTable 4. Integrated Line Intensities in K km s−1 of Complex Organic Molecules
Freq | Eup | B1-a | SVS 4-5 | B5 IRS1 | IRAS 03235 | IRAS 04108 | L1489 IRS |
---|---|---|---|---|---|---|---|
HNCO | |||||||
109.906 | 15 | 0.220[0.009] | 0.200[0.013] | 0.106[0.019] | 0.050[0.008] | 0.031[0.014] | 0.027[0.007] |
H2CCO | |||||||
100.095 | 27 | 0.110[0.008] | 0.099[0.011] | <0.011 | 0.020[0.012] | 0.027[0.010] | <0.017 |
CH3CN | |||||||
110.375 | 47 | 0.018[0.006] | 0.017[0.011] | 0.031[0.011] | <0.012 | <0.013 | <0.02 |
110.381 | 25 | 0.046[0.011] | 0.073[0.015] | 0.024[0.008] | <0.012 | <0.013 | <0.021 |
110.383 | 18 | 0.062[0.011] | 0.085[0.015] | 0.020[0.007] | <0.012 | <0.013 | <0.021 |
CH3CHO | |||||||
93.581 | 15 | 0.098[0.008] | 0.115[0.015] | 0.016[0.008] | <0.011 | <0.013 | <0.019 |
93.595 | 15 | 0.106[0.010] | 0.125[0.014] | <0.018 | <0.011 | <0.013 | <0.019 |
95.947 | 13 | 0.161[0.007] | 0.204[0.014] | <0.018 | <0.011 | <0.013 | <0.019 |
95.963 | 13 | 0.176[0.008] | 0.204[0.014] | <0.018 | <0.011 | <0.013 | <0.019 |
96.274 | 22 | 0.042[0.009] | 0.061[0.014] | <0.018 | <0.011 | <0.013 | <0.019 |
96.426 | 22 | 0.033[0.009] | 0.065[0.013] | <0.016 | <0.010 | <0.011 | <0.017 |
96.476 | 23 | 0.043[0.010] | 0.045[0.014] | <0.016 | <0.010 | <0.011 | <0.017 |
96.633 | 22 | 0.050[0.009] | 0.039[0.013] | <0.016 | <0.010 | <0.011 | <0.017 |
98.863 | 16 | 0.155[0.009] | 0.162[0.014] | 0.021[0.006] | <0.010 | <0.011 | <0.017 |
98.901 | 16 | 0.138[0.007] | 0.168[0.013] | 0.041[0.015] | <0.010 | <0.011 | <0.017 |
112.249 | 21 | 0.096[0.010] | 0.131[0.016] | 0.015[0.008] | <0.012 | <0.013 | <0.021 |
112.255 | 21 | 0.107[0.009] | 0.149[0.019] | 0.032[0.021] | <0.012 | <0.013 | <0.021 |
CH3OCH3 | |||||||
111.783 | 25 | <0.013 | 0.085[0.019] | <0.019 | <0.012 | <0.013 | <0.021 |
115.545 | 14 | <0.027 | 0.080[0.028] | <0.032 | <0.019 | <0.024 | <0.035 |
HCOOCH3 | |||||||
96.071 | 23 | 0.019[0.004] | 0.022[0.013] | <0.018 | <0.010 | <0.011 | <0.017 |
96.077 | 23 | 0.018[0.011] | <0.032 | <0.018 | <0.010 | <0.011 | <0.017 |
100.482 | 22 | 0.014[0.011] | 0.023[0.010] | <0.011 | <0.010 | <0.011 | <0.017 |
100.491 | 22 | 0.020[0.010] | 0.035[0.015] | <0.011 | <0.010 | <0.011 | <0.017 |
100.683 | 24 | 0.018[0.009] | 0.044[0.013] | <0.011 | <0.010 | <0.011 | <0.017 |
111.674 | 28 | 0.022[0.013] | 0.020[0.011] | <0.019 | <0.012 | <0.013 | <0.021 |
111.682 | 28 | 0.019[0.017] | 0.010[0.011] | <0.019 | <0.012 | <0.013 | <0.021 |
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4.2. CH3OH and COM Abundances
The CH3OH excitation temperatures and column densities were determined using the rotational diagram method (Goldsmith & Langer 1999), assuming optically thin lines and LTE at a single temperature—the validity of these assumptions and the constraints on the kinetic temperatures provided by the excitation temperatures are explored further in Section 4.3. Figure 5 shows the results for CH3OH. A single fit to all lines result in excitation temperatures of 15–20 K for the sources with any high energy lines detected.
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Standard image High-resolution imageThe observed CH3OH emission does not generally seem to be well described by a single excitation temperature, however, but rather seems to trace a warm and cold component. Too few high-energy lines are detected to quantify the warm component, but the cold component excitation temperatures and column densities can be estimated by focusing on the low-energy lines for the fit. This result in excitation temperatures of 6–8 K. The derived column densities should be representative of the protostellar envelopes outside of the core region where thermal evaporation is possible, i.e., at T <100 K—because CH3OH is readily sub-thermally excited it is not possible to a priori constrain the emission region any further. For IRAS 03235, too few low energy lines were detected to determine an envelope temperature, and an excitation temperature of 8 K was assumed to constrain the envelope column density.
To estimate the amount of warm CH3OH column (beam-averaged) in each line of sight, we use an excitation temperature of 26 K, based on the CH3CN analysis below, and the one high-energy CH3OH line excluded in the cold component fit. Table 5 reports the excitation temperatures and column densities calculated for the three fits characterizing the total, the cold and the warm protostellar CH3OH column. The cold column densities range between 0.5–10 × 1013 cm−2, the warm column densities range between <0.12–9 × 1013 cm−2 and the total column densities range between 0.5–23 × 1013 cm−2. The column density uncertainties includes a 10% calibration uncertainty in addition to the fit uncertainty. The listed uncertainties do not incorporate the fact that the cold component will contribute slightly to the high-energy line intensity and vice versa, resulting in systematic overestimates of the cold and warm component column densities, and indeed the sum of the cold+warm component column densities is 10%–50% higher compared to the column densities derived from the single component fit. The component column densities are thus at best accurate within a factor of two.
Table 5. CH3OH Excitation Temperatures and Column Densities
Source | Trot Ave | N Ave | Trot Cold | N Cold | Trot Warma | N Warmb |
---|---|---|---|---|---|---|
(K) | (cm−2) | (K) | (cm−2) | (K) | (cm−2) | |
B1-a | 14.9[0.6] | 1.3[0.2] × 1014 | 5.9[0.3] | 8.4[1.9] × 1013 | (26) | 9[3] × 1013 |
SVS 4-5 | 20.2[0.9] | 2.3[0.4] × 1014 | 5.9[0.3] | 10[2] × 1013 | (26) | 2.2[0.5] × 1014 |
B5 IRS1 | 17[2] | 4.3[0.9] × 1013 | 8[1] | 2.1[0.7] × 1013 | (26) | 2.3[1.2] × 1013 |
IRAS 03235 | 18[4] | 2.8[0.9] × 1013 | (8)c | 1.1[0.5] × 1013 | (26) | 1.2[1.1] × 1013 |
IRAS 04108 | 9[3] | 1.2[0.5] × 1013 | 9[3] | 1.2[0.5] × 1013 | (26) | <8 × 1012 |
L1489 IRS | 8[4] | 5[5] × 1012 | 8[4] | 5[5] × 1012 | (26) | <1.3 × 1012 |
Notes. The listed uncertainties are the formal errors; the systematic column density uncertainties are estimated to ∼50% based on LVG analysis of B1-a. a26 K is the assumed excitation temperature for the warm CH3OH component. bBased on the intensity or upper limit of the CH3OH 95.169 GHz line. cNo excitation temperature could be independently derived and the sample average of 8 K was assumed.
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Figure 6 shows that CH3CHO and CH3CN line intensities can be fit by a single excitation temperature. Based on this analysis, CH3CHO is characterized by a low excitation temperature (8–9 K) consistent with the CH3OH cold component. This does not rule out the existence of a warm CH3CHO component, since upper limits of higher energy lines are inconclusive, but the detected CH3CHO does not originate in a hot core. In contrast the CH3CN excitation temperature of 26 K is suggestive of a warm, possibly a hot core, origin for CH3CN. The HCOOCH3 detections have low signal-to-noise ratio and also a small spread in energy levels and the derived excitation temperatures of 7–8 K are therefore highly uncertain. For CH3OH as well as these COMs, the derived excitation temperatures depend on the kinetic temperatures. The two temperatures are rarely identical, however, and the relationship between them depend on the details of the excitation conditions and molecular excitation properties. Excitation temperatures cannot, thus, be used to determine specific emission locations if different molecules are unconstrained. Because CH3CHO, CH3CN, and CH3OH have comparable dipole moments, however, their relative excitation temperatures constrain their relative excitation conditions. That is, based on the excitation temperatures, CH3CN is more centrally peaked compared to CH3CHO (see Section 4.3).
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Standard image High-resolution imageTable 6 lists the resulting excitation temperatures and beam-averaged column densities, i.e., the reported column densities do not take into account potential beam dilution, which may be substantial for some or all molecules. For the detected COMs without independent constraints on their excitation, we used 8, 18, or 26 K. The choice for each molecule was based on recent observations of spatial and excitation temperature correlations of different molecules around high-mass protostars (Bisschop et al. 2007; Öberg et al. 2013; Fayolle et al. 2013). In these studies H2CCO and CH3CHO are cold and we therefore used the CH3CHO excitation temperature of 8 K to determine the H2CCO column. CH3OCH3 and CH3CN emission were generally associated with only warm material and we used the CH3CN excitation temperature of 26 K to determine the CH3OCH3 column. HNCO, like CH3OH, has been observed to trace both cold and warm material and we therefore used an excitation temperature of 18 K, typical for the CH3OH when fitting a single LTE component to the protostellar data. It is important to note that the excitation temperature choices are based on a small set of high-mass protostellar data and may need to be revised once more spatially resolved observations of complex molecules toward low-mass protostars exist.
Table 6. Complex Molecule Excitation Temperatures and Column Densities
Source | CH3CHO | CH3CN | HCOOCH3 | HNCOb | H2CCOb | CH3OCH3b | |||
---|---|---|---|---|---|---|---|---|---|
Trota | N | Trota | N | Trota | N | N (Trot = 18 K) | N (Trot = 8 K) | N (Trot = 26 K) | |
(K) | (cm−2) | (K) | (cm−2) | (K) | (cm−2) | (cm−2) | (cm−2) | (cm−2) | |
B1-a | 8[1] | 6[2] × 1012 | 26[8] | 1.2[0.6] × 1012 | 7[7] | 9[26] × 1012 | 2.6[0.3] × 1012 | 6.8[1.2] × 1012 | <6 × 1012 |
SVS 4-5 | 9[2] | 7[2] × 1012 | 26[9] | 1.7[0.9] × 1012 | 8[9] | 1[3] × 1013 | 2.4[0.4] × 1012 | 5.9[1.3] × 1012 | 2.2[1.0] × 1013 |
B5 IRS1 | (8) | 1.9[0.7] × 1012 | (26) | 4[2] × 1011 | (8) | <4 × 1012 | 1.2[0.4] × 1012 | <9 × 1011 | <8 × 1012 |
IRAS 03235 | (8) | <7 × 1011 | (26) | <3 × 1011 | (8) | <2 × 1012 | 6.0[1.6] × 1011 | 1.2[0.8] × 1012 | <5 × 1012 |
IRAS 04108 | (8) | <6 × 1011 | (26) | <4 × 1011 | (8) | <1 × 1012 | 4[2] × 1011 | 1.6[0.9] × 1012 | 8[4] × 1012 |
L1489 IRS | (8) | <1.0 × 1012 | (26) | <6 × 1011 | (8) | <2 × 1012 | 3.2[1.1] × 1011 | 2.5[1.1] × 1012 | <8 × 1012 |
Notes. a(T) is used to indicate that the sample average excitation temperature was used to derived a column density or upper limit. bThe average CH3OH, CH3CHO, and CH3CN excitation temperatures were used to derive the HNCO, H2CCO, and CH3OCH3 column densities, respectively.
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We used the derived complex molecule column densities together with the derived CH3OH column densities to calculate the abundances of organic molecules with respect to CH3OH in our source sample. We tested the sensitivity of the derived abundances on the selected CH3OH components for different molecules, and generally found that the choice of excitation temperature and CH3OH reference column density (beam-averaged, cold or warm components) affected the derived abundances with respect to CH3OH by less than a factor of two. Table 7 shows that the CH3CHO abundances are between 7% and 9% and the upper limits between 5% and 20% with respect to CH3OH. CH3CN and CH3OCH3 abundances or upper limits could only be derived toward the first four sources since no lines associated with warm CH3OH were detected toward two of the sources. The CH3CN abundances are 0.8%–1.7% and the CH3OCH3 abundance toward SVS 4-5 is 10%. The HCOOCH3 abundances are ∼10%, but abundances up to 40% cannot be excluded. The HNCO abundances vary between 1.0%–6.4%, and the H2CCO abundances vary between 1.1%–9%. Derived upper limits are typically similar or higher compared to detections.
Table 7. Complex Molecule Abundances with Respect to CH3OH in %
Source | x | x | xHNCO | x | x | x |
---|---|---|---|---|---|---|
B1-a | 7[3] | 1.3[0.8] | 2.0[0.4] | 1.4[0.3] | <7 | 11[19] |
SVS 4-5 | 7[2] | 0.8[0.4] | 1.0[0.3] | 1.1[0.2] | 10[5] | 10[30] |
B5 IRS1 | 9[4] | 1.7[1.3] | 2.8[1.1] | <0.8 | <35 | <21 |
IRAS 03235 | <6 | <2.5 | 2.1[0.9] | 2.0[1.5] | <42 | <15 |
IRAS 04108 | <5 | –a | 3.3[2.2] | 2.4[1.4] | –a | <12 |
L1489 IRS | <20 | –a | 6.4[6.7] | 9[9] | –a | <46 |
Note. aNo upper limit could be derived because of lack of detection of warm CH3OH.
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4.3. Optical Depth and LVG Modeling
The analysis in the previous section assumes that all observed complex organic emission is optically thin. This is a tenuous assumption for CH3OH, since CH3OH lines are known to sometimes be optically thick toward protostars (e.g., Bisschop et al. 2007). Fortunately, the 13CH3OH 2–1 ladder falls within the observed frequency range, enabling a direct test of this assumption. Two 13CH3OH lines are detected toward B1-a and SVS 4-5, but not toward any other sources. The line intensity ratios between corresponding CH3OH and 13CH3OH lines are 57–60[15] and 71–76[19] toward B1-a and SVS 4–5, respectively, consistent with the solar 12C/13C ratio of 77. CH3OH, and by inference all other COM, emission lines thus appear to be optically thin.
A second question is how the excitation temperatures, derived using rotational diagrams, relate to the kinetic temperatures in the emission regions. To explore this, we carried out a large velocity gradient (LVG) radiative transfer analysis using RADEX (van der Tak et al. 2007) for the molecules with both sufficient number of lines to constrain the excitation conditions and known collision cross sections, i.e., CH3OH and CH3CN, toward B1-a. B1-a is here taken to be representative of the sample because of the similar emission patterns of CH3OH and CH3CN (when detected) across the sample (Figures 5 and 6).
We ran a grid of RADEX models with nH = [105, 106] cm−3, Tkin = [10, 25, 50, 100] K, and CH3OH and CH3CN column densities ranging between 0.5× and 2× those listed in Tables 2–4 for B1-a. The models with a factor of two lower and higher column densities compared to the rotational diagram values cannot be excluded for all temperatures and densities, but generally fit the data less well. This indicates that the rotational diagram method provides a good estimate of the beam-averaged column densities, but that the real uncertainty in the derived numbers are at least a factor of two rather than the formal uncertainties of 20%–50%.
Figure 7 shows the model results for the best-fit column densities (i.e., the ones derived using the rotational diagram method), and a density of 106 cm−3. The best-fit temperature to the CH3OH data, assuming a single component, is between 10 and 25 K, consistent with the rotational diagram excitation temperature. If a lower density of 105 cm−2 is assumed, kinetic temperatures up to 50 K fit the data. However, such a low average density is unlikely based on Jørgensen et al. (2002), where a detailed envelope modeling shows that the average density toward deeply embedded protostars on 1000 AU scales is ∼106 cm−3. In either case, it can be excluded that most of the CH3OH emission originates in a hot core. As in the rotational diagram analysis, no single temperature component fits all the CH3OH lines. The two components derived in Table 5 reproduces the relative line intensities very well, but overpredicts the line intensities by about 50% as discussed above. In the case of CH3CN, only kinetic temperatures of 25 K and higher are consistent with the data, confirming the rotational diagram results that CH3CN has of a more centrally peaked origin compared to CH3OH.
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Standard image High-resolution imageIn summary, the analyzed emission lines are optically thin and the rotational diagram method provides an accurate (within a factor of two) derivation of the molecular column densities. The excitation temperatures and the kinetic temperatures are not identical, but the observed difference in excitation temperatures for CH3CN and CH3OH corresponds to a real difference in kinetic temperatures for reasonable density assumptions.
4.4. Sample Statistics
In addition to the low-mass YSOs presented here, CH3CHO, HCOOCH3, CH3CN, and/or CH3OCH3 have been previously quantified toward B1-b in Perseus (Öberg et al. 2009, 2010a), SMM1, SMM4, and SMM4-W in Serpens (Öberg et al. 2011b), L1157 (Arce et al. 2008), NGC 1333 IRAS 2A, 4A, and 4B in Perseus (Bottinelli et al. 2004a, 2007), and toward IRAS 16293−2422, both including the binary in one beam, and toward the A and B cores separately (Cazaux et al. 2003; Bisschop et al. 2008). The abundance frequency histograms with respect to CH3OH are shown in Figure 8 for the combined low-mass sample of literature sources and our six YSOs. Complex molecule abundances above 1% are clearly common. The median detected abundances for the four species HCOOCH3, CH3CHO, CH3OCH3, and CH3CN varies between 1% (CH3CN) and 5% (HCOOCH3 and CH3OCH3) with respect to CH3OH. It is important to note that most upper limits seems to be consistent with these values and thus that the lack of complex molecules in half of our sources is most likely due to an overall low CH3OH abundance or a low overall ice desorption rate rather than a significantly different chemistry with respect to CH3OH.
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Standard image High-resolution imageFigure 8 also shows that the COM abundances vary significantly between sources. Disregarding upper limits CH3CN/CH3OH = 0.07%–1.7%, HCOOCH3/CH3OH = 0.6%–56%, CH3OCH3/CH3OH = 0.8%–20% and CH3CHO/CH3OH = 0.1%–9%. For all molecules there is thus a one or two order of magnitude variation across the sample.
5. DISCUSSION
The median abundances derived from the combined low-mass YSO sample can be compared both with the more well-studied high-mass YSO chemistry and with model predictions. In a sample of seven hot cores observed by Bisschop et al. (2007) the median abundances of CH3CN, HCOOCH3, CH3OCH3, and CH3CHO with respect to CH3OH were 7%, 12%, 16%, and 0.1%, respectively. That is, all abundances except for CH3CHO are a factor of a few higher toward the high-mass hot cores. This may not be representative of massive YSO chemistry; in a recent sample of three high-mass YSOs without hot cores, the median abundances of CH3CN, CH3OCH3, and CH3CHO with respect to CH3OH were all 3%–4% (Fayolle et al. 2013). These abundances are quite similar to our low-mass sample (Table 8). There is thus no clear observational evidence for an intrinsic difference between low-mass and high-mass YSO COM chemistry with respect to CH3OH, when averaged over all early stages of star formation. This does not exclude that there are significant differences when comparing low-mass and high-mass objects that are at the same evolutionary stage, i.e., there may still be real differences between high-mass hot cores and their low-mass equivalents because of, e.g., different protostellar collapse time scales (Garrod et al. 2008). More spatially resolved studies of low-mass YSOs are required, however, to support or reject that proposition.
Table 8. Median COM Abundances in Low-mass YSO and Massive YSOs with and without Hot Cores
Abundance %CH3OH | Low-mass YSO | Hot Coresa | MYSOsb |
---|---|---|---|
CH3CN | 1 | 7 | 3 |
HCOOCH3 | 5 | 12 | – |
CH3OCH3 | 5 | 16 | 4 |
CH3CHO | 3 | 0.1 | 3 |
Notes. aBisschop et al. (2007). bMYSOs without bright hot cores from E. C. Fayolle et al. (2013).
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This study also shows that there are orders of magnitude differences in COM abundances with respect to CH3OH among low-mass YSOs. Three potential sources of variation are the initial ice composition, temperature, and density structures and thus excitation conditions, and the chemical evolutionary stage. A unique feature of this sample is that the ice compositions are known and its relationship to the COM chemistry can thus be evaluated. There is some correlation between CH3OH ice and gas abundances among the seven ice sources in Table 2, but there are also clear exceptions to this relationship, e.g., B1-a, which has a small CH3OH ice abundance and a fairly high gas-phase abundance with respect to H2O ice. There are no obvious correlations between the ice compositions and COM abundance patterns, in particular there is no correlation between NH3/CH3OH in the ice and N- and O-bearing complex molecules in the gas. This does not rule out that the ice composition is important for the complex chemistry, but in this small sample, ice composition is clearly not the dominant regulator of the observed COM chemistry.
In terms of evolutionary stage, the sample can be coarsely divided into ice sources (our sample + B1 b), embedded protostars without significant ice absorption (SMM 1, 4, and 4-W, NGC 1333 IRAS 2A, 4A, and 4B, and IRAS 16293−2422), and an outflow (L1157). B1-b should potentially be in its own grouping since the COM emission seems more associated with the pre-stellar core than with the protostar. There is no significant difference between the ice sources and ice-free protostars in terms of COM emission, i.e., the median abundances within our sample are consistent with those of the ice-free protostars. The difference in envelope structure and/or evolutionary stage between these two source types thus also fails to explain the observed COM abundance variation across the sample.
Finally, assessing the importance of different excitation conditions is complicated by sparse information on the spatial origins of the complex molecule emission in the different sources. In the literature one out of two simplified distributions of COMs toward protostars is typically assumed: either that the CH3OH and COM spatial distributions are the same and characterized by a single CH3OH excitation temperature (e.g., Öberg et al. 2011a), or that the COM spatial distribution is more compact compared to CH3OH (e.g., Bottinelli et al. 2007). In the latter case COM/CH3OH abundances are calculated based on modeled CH3OH core abundances and the assumption that all COM emission originates in the core. In this study we use the CH3OH data to estimate the amount of cold CH3OH in the envelope and warm CH3OH in the core and then calculate COM/CH3OH abundances using the cold or warm CH3OH component or the total beam-averaged column density dependent on COM excitation temperatures and/or spatial distribution constraints from previous studies. This is a crude approximation and until spatially resolved observations of both CH3OH and COMs exists toward a sample of low-mass YSOs, the reported abundances are estimated to be accurate only within a factor of a few, i.e., considerably less accurate than the ∼30%–50% uncertainties reported in Table 7 when only taking into account fit and calibration errors. There is clearly a need both to increase the existing number of sources searched for complex organics and to constrain the spatial distribution of COMs toward a sub-sample of representative sources to elucidate what source characteristics that set the observed COM abundances.
6. CONCLUSIONS
We have carried out a small, pilot survey of complex molecules in a sample of low-mass YSOs, which were selected based on their measured ice abundances in the envelope. The results of this survey have been combined with literature values on complex molecule detections and upper limits to obtain first constraints on the abundance median and variability of complex molecule abundances during low-mass star formation. Based on this we have found the following.
- 1.Complex organics (CH3CHO, HCOOCH3, CH3OCH3, and/or CH3CN) are detected toward 2–3/6 embedded protostars at abundances of 0.8%–11% with respect to CH3OH (i.e., COMs are clearly detected toward two sources and marginally toward a third). Upper limits in the remaining sources are consistent with the detected abundances with respect to CH3OH, indicative that complex molecule formation at the 1%–10% level with respect to CH3OH is common during the early stages of low-mass star formation.
- 2.Two other slightly smaller COMs, HNCO, and H2CCO are more common, and are clearly detected in four to six sources in the sample.
- 3.When the pilot survey is combined with eight deep searches for complex organics in the literature we obtain median values with respect to CH3OH of 1% for CH3CN, 3% for CH3CHO, 5% for CH3OCH3, and 5% for HCOOCH3 for low-mass YSOs.
- 4.There is at least an order of magnitude variability in abundances with respect to CH3OH for all species, but the current sample is too small and heterogenous to constrain the origin of this variability to initial conditions, chemical evolution, or physical structures, or a combination of all three.
We gratefully acknowledge the IRAM staff for help provided during the observations and data reduction.
Footnotes
- *
Based on observations carried out with the IRAM Plateau de Bure Interferometer. IRAM is supported by INSU/CNRS (France), MPG (Germany), and IGN (Spain).
- 3
For the purpose of this paper, COMs are hydrogen-rich organics containing at least three heavy elements, i.e., the kind of organics typically associated with hot cores.