Skip to main content
UKPMC Funders Author Manuscripts logoLink to UKPMC Funders Author Manuscripts
. Author manuscript; available in PMC: 2016 Oct 10.
Published in final edited form as: Astrophys J Lett. 2016 Oct 5;830(1):L6. doi: 10.3847/2041-8205/830/1/L6

The Spatial Distribution of Complex Organic Molecules in the L1544 Pre-stellar Core

Izaskun Jiménez-Serra 1,2,3, Anton I Vasyunin 4,5, Paola Caselli 4, Nuria Marcelino 6,7, Nicolas Billot 8, Serena Viti 2, Leonardo Testi 3,9, Charlotte Vastel 10,11, Bertrand Lefloch 12,13, Rafael Bachiller 14
PMCID: PMC5055100  EMSID: EMS70075  PMID: 27733899

Abstract

The detection of complex organic molecules (COMs) toward cold sources such as pre-stellar cores (with T<10 K), has challenged our understanding of the formation processes of COMs in the interstellar medium. Recent modelling on COM chemistry at low temperatures has provided new insight into these processes predicting that COM formation depends strongly on parameters such as visual extinction and the level of CO freeze out. We report deep observations of COMs toward two positions in the L1544 pre-stellar core: the dense, highly-extinguished continuum peak with AV ≥30 mag within the inner 2700 au; and a low-density shell with average AV ~7.5-8 mag located at 4000 au from the core’s center and bright in CH3OH. Our observations show that CH3O, CH3OCH3 and CH3CHO are more abundant (by factors ~2-10) toward the low-density shell than toward the continuum peak. Other COMs such as CH3OCHO, c-C3H2O, HCCCHO, CH2CHCN and HCCNC show slight enhancements (by factors ≤3) but the associated uncertainties are large. This suggests that COMs are actively formed and already present in the low-density shells of pre-stellar cores. The modelling of the chemistry of O-bearing COMs in L1544 indicates that these species are enhanced in this shell because i) CO starts freezing out onto dust grains driving an active surface chemistry; ii) the visual extinction is sufficiently high to prevent the UV photo-dissociation of COMs by the external interstellar radiation field; and iii) the density is still moderate to prevent severe depletion of COMs onto grains.

Subject headings: astrochemistry — ISM, molecules — stars, formation — ISM, individual objects (L1544)

1. Introduction

Complex Organic Molecules (COMs) are carbon-based species with ≥6 atoms in their molecular structure (Herbst & van Dishoeck 2009). The most prolific regions in the detection of COMs in the interstellar medium (ISM) have been massive hot cores and Giant Molecular Clouds in the Galactic Center (SgrB2 (N) and (M); Hollis et al. 2000, 2006; Requena-Torres et al. 2008; Belloche et al. 2008, 2014) and low-mass hot corinos (IRAS16293-2422; Ceccarelli et al. 2000; Bottinelli et al. 2004; Jørgensen et al. 2012). Until recently, it was believed that COMs form on dust grains via hydrogenation (Charnley et al. 1995) or radical-radical reactions favoured by the heating from the central protostar (at T≥30 K; see Garrod et al. 2008). However, the detection of COMs such as propylene (CH2CHCH3), acetaldehyde (CH3CHO), dimethyl ether (CH3OCH3) or methyl formate (CH3OCHO) in dark cloud cores and pre-stellar cores with T≤10 K (B1-b, TMC-1, L1689B or L1544) has recently challenged our understanding of COM formation (Marcelino et al. 2007; Öberg et al. 2010; Bacmann et al. 2012; Cernicharo et al. 2012; Vastel et al. 2014; Loison et al. 2016).

Several mechanisms have been proposed to explain the presence of COMs in cold cores: gas-phase formation, non-canonical chemical explosions, cosmic-ray induced radical diffusion, impulsive spot heating of grains, or radical-radical recombination after H-atom addition/abstraction reactions on grain surfaces (Vasyunin & Herbst 2013; Rawlings et al. 2013; Balucani et al. 2015; Reboussin et al. 2014; Ivlev et al. 2015; Chuang et al. 2016). However, information about the spatial distribution of COMs in cold cores is lacking (as well as of their radial abundance profile probing different density and extinction regimes), which prevents us from testing these COM formation scenarios.

The detection of a low-density, CH3OH-rich shell around the continuum peak of the L1544 pre-stellar core (Bizzocchi et al. 2014) offers a unique opportunity to test COM formation scenarios in cold sources. Species such as C3O, ketene (H2CCO), formic acid (HCOOH) and acetaldehyde may be spatially co-located to CH3OH in L1544 and may form at this low-density shell (Vastel et al. 2014). We report high-sensitivity observations of COMs toward two positions in the L1544 pre-stellar core: the continuum peak and a position within the low-density, CH3OH-rich shell reported by Bizzocchi et al. (2014, hereafter the CH3OH peak). Our results suggest that COMs are actively formed in the low-density shells of prestellar cores1.

2. Observations

High-sensitivity single-pointing 3 mm observations were carried out toward two positions in the L1544 core during 10-16 December 2014 and 15-16 June 2016 with the Instituto de Radioastronomía Milimétrica (IRAM) 30 m telescope. We pointed our observations toward the core’s dust continuum peak, α(J2000)=5h04m17.21s, δ(J2000)=25°10′42.8”, and toward the CH3OH peak, α(J2000)=5h04m18s and δ(J2000)=25°11′10” (Bizzocchi et al. 2014). This position is ~30” away from the core’s center (~0.02 pc or 4000 au at 140 pc; Elias 1978).

The observations were done in wobbler-switched mode with an angular throw of ±120”. The dual sideband (2SB) EMIR E090 receivers were tuned at 84.37 GHz and 94.82 GHz with rejections ≥10 dB. We used three slightly different central frequencies (84.36, 84.37, 84.38 GHz and 94.80, 94.82, 94.84 GHz) to avoid the appearance of weak spurious features in the spectra. The FTS spectrometer allowed us to observe the inner part of each 4 GHz sub-bands covering 7.2 GHz in total, and it provided a spectral resolution of 50 kHz (0.15-0.18 km s−1 at 3 mm). The observed frequency ranges were 83.4-85.2, 86.7-88.5, 99.1-100.9, 102.4-104.2 GHz and 78.2-80.0, 81.4-83.2, 93.9-95.7, 97.1-98.9 GHz. Typical system temperatures were 70-120 K. The beam size was ~28-31” between 79-87 GHz, and ~24-26” between 94-103 GHz. Intensities were calibrated in units of antenna temperature, TA*, and converted into main beam temperature, Tmb, by using beam efficiencies of 0.81 at 79-100 GHz, and 0.78 at 103 GHz. The RMS noise level was 1.6-2.8 mK for the core’s center position, and 2.2-3.7 mK for the CH3OH peak.

3. Results

Figures 1 and 2 show some of the COM transitions detected toward L1544, while Table 1 lists all observed transitions and their derived line parameters. For completeness, we also provide the information about the covered transitions of acetaldehyde (CH3CHO) – species already reported by Vastel et al. (2014) – and the upper limits of formamide (NH2CHO), methyl isocyanate (CH3NCO) and glycine (NH2CH2COOH). For all COMs the spectroscopic data were extracted from the JPL catalog (Pickett et al. 1998), except for dimethyl ether (CH3OCH3) for which we used SLAIM2, and cyclopropenone (c-C3H2O), methyl isocyanate and glycine, for which we used the CDMS catalog (Müller et al. 2005).

Fig. 1.

Fig. 1

Sample of COM lines detected toward L1544’s dust continuum peak. Red lines show the Gaussian line fits derived for the COM transitions (see Table 1). The CH3O spectrum has been extracted from the ASAI data (Vastel et al. 2014).

Fig. 2.

Fig. 2

As in Figure 1, but for the position of the CH3OH peak.

Table 1.

COM transitions covered in our observations and their derived line parameters

Species Line Frequency Eu gu Aul (0”,0”) CH3OH peak

(MHz) (K) (s−1) Areab
(mK km s−1)
VLSR
(km s−1)
Δv
(km s−1)
Tmbc
(mK)
Areab
(mK km s−1)
VLSR
(km s−1)
Δv
(km s−1)
Tmbc
(mK)
CH3Oa F=1→0, Λ=-1 82455.98 4.0 3 6.5×10−6 ≤3.7 ≤16.2 3.5(0.9) 7.06(0.03) 0.3(0.1) 10.8(2.4)
F=2→1, Λ=-1 82458.25 4.0 5 9.8×10−6 ≤3.7 ≤15.9 9.2(1.1) 7.21(0.02) 0.40(0.05) 21.8(3.0)
F=2→1, Λ=+1 82471.82 4.0 5 9.8×10−6 ≤3.9 ≤17.1 7.8(1.0) 7.22(0.02) 0.30(0.05) 24.3(2.9)
F=1→0, Λ=+1 82524.18 4.0 3 6.5×10−6 ≤3.5 ≤15.0 2.6(0.9) 7.14(0.06) 0.27(0.08) 8.9(3.0)

CH3OCHO 91,9→81,8 E 100078.608 25.0 38 1.4×10−5 1.8(0.8) 7.23(0.10) 0.42(0.2) 4.1(2.0) ≤1.7 ≤8.1
91,9→81,8 A 100080.542 25.0 38 1.4×10−5 2.0(1.0) 7.22(0.19) 0.44(0.15) 4.4(1.7) 3.3(0.8) 7.16(0.03) 0.30(0.09) 10.4(2.6)
83,5→73,4 E 100294.604 27.4 34 1.3×10−5 ≤1.3 ≤5.4 3.5(0.9) 7.20(0.04) 0.34(0.10) 9.9(2.5)
83,5→73,4 A 100308.179 27.4 34 1.3×10−5 ≤1.7 ≤7.2 ≤1.4 ≤6.9
81,7→71,6 E 100482.241 22.8 34 1.4×10−5 ≤4.1 ≤5.7 6.5(0.9) 7.17(0.02) 0.31(0.06) 19.6(2.7)
81,7→71,6 A 100490.682 22.8 34 1.4×10−5 3.5(0.7) 7.21(0.04) 0.37(0.07) 8.9(2.2) 3.0(0.7) 7.16(0.03) 0.23(0.06) 12.3(2.6)
90,9→80,8 E 100681.545 24.9 38 1.5×10−5 1.6(0.9) 7.16(0.11) 0.4(0.2) 4.1(2.8) ≤1.6 ≤7.5
90,9→80,8 A 100683.368 24.9 38 1.5×10−5 4.1(1.1) 7.12(0.07) 0.54(0.14) 7.2(2.7) 3.3(0.7) 7.11(0.03) 0.24(0.05) 13.1(2.6)

CH3OCH3   41,4→30,3 EAd 99324.357 10.2 36 2.2×10−5 3.4(0.8) 7.11(0.05) 0.38(0.10) 8.4(2.4) 6.2(1.2) 7.11(0.03) 0.36 (0.08) 16.4(3.5)
  41,4→30,3 AEd 99324.359 10.2 54 3.3×10−5
41,4→30,3 EE 99325.208 10.2 144 8.9×10−5 4.0(0.8) 7.15(0.03) 0.32(0.07) 11.55(2.2) 9.6(1.2) 7.12(0.02) 0.39(0.06) 23.5(3.1)
41,4→30,3 AA 99326.058 10.2 90 5.5×10−5 2.0(0.9) 7.22(0.09) 0.3(0.2) 5.4(2.5) 3.7(1.1) 7.12(0.05) 0.29(0.09) 12.0(3.7)
 62,5→61,6 EAd 100460.412 24.7 52 1.8×10−5 ≤1.2 ≤5.8 ≤1.8 ≤7.8
 62,5→61,6 AEd 100460.437 24.7 78 2.6×10−5
62,5→61,6 EE 100463.066 24.7 208 7.0×10−5 ≤1.2 ≤5.7 1.4(0.8) 7.16(0.07) 0.26(0.16) 5.2(2.6)
62,5→61,6 AA 100465.708 24.7 130 4.4×10−5 ≤1.3 ≤6.3 ≤1.8 ≤7.8

CH3CHO 21,2→10,1 E 83584.260 5.0 10 2.2×10−6 3.8(1.5) 7.12(0.04) 0.32(0.10) 10.9(2.6) 12.8(1.1) 7.18(0.01) 0.31(0.04) 39.0(3.1)
21,2→10,1 A 84219.764 5.0 10 2.4×10−6 5.5(0.8) 7.21(0.02) 0.30(0.05) 17.4(2.5) 9.6(0.9) 7.12(0.01) 0.26(0.02) 34.4(3.0)
21,1→10,1 E 87109.504 5.2 10 1.3×10−7 ≤1.4 ≤6.5 ≤1.7 ≤7.7
22,0→31,3 A 87146.655 11.8 10 2.9×10−7 ≤1.3 ≤6.2 ≤1.5 ≤6.6
22,0→31,3 E 87204.278 11.9 10 1.1×10−7 ≤1.6 ≤5.9 ≤1.7 ≤7.4
63,4→72,5 A 99141.294 24.4 10 7.1×10−7 ≤1.4 ≤6.7 1.8(0.8) 6.95(0.03) 0.2(0.2) 8.1(3.0)
63,4→72,6 E 99490.149 24.3 10 6.1×10−7 ≤1.4 ≤6.7 2.9(0.9) 7.33(0.07) 0.4(0.1) 6.3(2.3)

CH3NC 50→40 100526.541 14.5 44 8.1×10−5 4.0(1.0) 7.15(0.09) 0.66(0.18) 5.7(2.3) ≤1.8 ≤7.5
51→41 100524.249 21.5 44 7.8×10−5 2.6(0.7) 7.38(0.05) 0.35(0.11) 7.0(2.2) ≤1.8 ≤7.5
52→42 100517.433 42.7 44 6.8×10−5 ≤1.7 ≤6.9 ≤1.8 ≤7.5

c-C3H2O 61,6→51,5e 79483.520 14.6 39 5.1×10−5 7.7(1.4) 7.09(0.03) 0.38(0.08) 18.8(3.0)
71,6→61,5 103069.925 21.1 45 1.1×10−4 3.3(0.9) 7.18(0.06) 0.39(0.09) 8.0(2.8) 3.7(1.7) 7.1(0.1) 0.5(0.3) 7.6(3.4)

CH2CHCN 90,9→80,8 84946.000 20.4 57 4.9×10−5 24.78(1.0) 7.290(0.007) 0.397(0.019) 58.7(2.3) 6.6(1.1) 7.30(0.02) 0.29(0.06) 21.1(3.1)
91,8→81,7 87312.812 23.1 57 5.3×10−5 13.2(0.9) 7.245(0.012) 0.35(0.03) 35.3(2.4) 5.1(1.1) 7.20(0.06) 0.46(0.09) 10.4(2.7)
110,11→100,10 103575.395 29.9 69 9.0×10−5 7.8(0.8) 7.30(0.02) 0.42(0.05) 17.3(2.3) ≤1.8 ≤8.7

HCCNC 10→9f 99354.250 26.2 63 4.6×10−5 29.2(1.0) 7.227(0.005) 0.438(0.013) 62.7(1.6) 7.1(1.0) 7.17(0.03) 0.40(0.05) 16.5(2.2)

HCCCHO 90,9→80,8 83775.842 20.1 19 1.8×10−5 5.5(1.2) 7.08(0.06) 0.49(0.11) 10.6(2.8) 3.2(1.2) 7.04(0.06) 0.28(0.12) 10.8(3.5)

NH2CHO 40,4→30,3g 84542.400 10.2 11 4.1×10−5 ≤1.8 ≤8.4 ≤2.3 ≤9.6
41,3→31,2g 87848.915 13.5 11 4.3×10−5 ≤1.3 ≤6.0 ≤1.8 ≤7.2

CH3NCO 101,10→91,9 87506.605 29.0 21 3.0×10−5 ≤1.1 ≤5.1 ≤1.2 ≤5.7
12−1,12→11−1,11 103023.61 39.4 25 4.9×10−5 ≤1.3 ≤6.3 ≤1.6 ≤7.5

Glycine 65,2→54,1 103294.648 15.2 39 1.6×10−6 ≤1.7 ≤8.0 ≤2.1 ≤9.9
Conf I. 65,1→54,2 103297.993 15.2 39 1.6×10−6 ≤1.7 ≤8.0 ≤2.1 ≤9.9
a

Hyperfine components of the N=1-0, K=0, J=3/2→1/2 transition of CH3O.

b

Upper limits calculated as 3σ×Δυ×δυ, with σ the rms noise level, Δv the linewidth and δv the velocity resolution of the spectrum.

c

The rms noise level, σ, is given in parenthesis. Upper limits to the peak intensities refer to the 3σ noise level

d

The AE and EA transitions overlap. We only show the gaussian fit for one of the lines. In the rotational diagram of this species, the individual areas of the AE and EA transitions are calculated by weighting the blended area by the degeneracy gu×gi of every transition.

e

Transition not observed toward the continuum peak.

f

Hyperfine structure not resolved.

g

Hyperfine transitions blended. Spectroscopic information provided only for the brightest hyperfine component F=5-4.

Our high-sensitivity spectra reveal the detection of large COMs such as methyl formate (CH3OCHO) and dimethyl ether (CH3OCH3) that had remained elusive in previous campaigns (see upper limits in Vastel et al. 2014). Other species detected are propynal (HCCCHO), cyclopropenone (c-C3H2O), ethynyl isocyanide (HCCNC) and vinyl cyanide (CH2CHCN; Figures 1 and 2). Methoxy (CH3O), considered as a COM precursor or COM dissociation product, is also detected toward the CH3OH peak. All these molecules are observed at the ~10-20 mK intensity level (Table 1). In Figure 1, we also report the tentative detection of methyl isocyanide (CH3NC) toward the continuum peak. Its K=0,1 lines are detected at the 2.5σ and 3.2σ level. We are confident about the correct identification of all transitions since their derived radial velocities match the vLSR of the source (7.2 km s−1), and for most species at least two transitions are detected. In addition, we have looked for other lines that could be blended and have found none. Since the COM line profiles are narrow (linewidths ~0.3-0.4 km s−1; Table 1), it is unlikely that they appear blended with unknown species.

Table 1 shows that the line emission from O-bearing species is either brighter toward the CH3OH peak (by factors of ~2-3 for CH3O, CH3CHO, CH3OCHO and CH3OCH3), or remains constant toward both positions (HCCCHO and c-C3H2O). The N-bearing COMs HCCNC, CH3NC and CH2CHCN, on the contrary, show an opposite behaviour with brighter emission seen toward the center of the core. As shown in Section 5, this behaviour translates into larger enhancements toward the CH3OH peak for CH3O, CH3CHO and CH3OCH3 than for the rest of COM species. Formamide, methyl isocyanate and glycine are not detected toward any position in L1544 (Table 1).

4. Excitation analysis of COMs

For CH3O, CH3OCHO, CH3OCH3, CH3CHO, CH3NC and CH2CHCN, we have detected several lines so that a multi-line excitation analysis can be performed. The excitation temperature, Tex, and total column density, Nobs, of these molecules have been calculated using the MADCUBAIJ software (Martín et al. 2011; Rivilla et al. 2016), assuming extended emission and LTE conditions. Except for CH3NC (which is tentatively detected; Section 3), the derived Tex is ~5-6 K toward the core’s center and ~5-8 K toward the CH3OH peak (Table 2). Errors in Table 2 correspond to 1σ uncertainties. We note that in some cases we had to fix Tex to make MADCUBAIJ converge and find a solution. Since c-C3H2O is not included in MADCUBAIJ, we used the Weeds software for this molecule (Maret et al. 2011) and assumed that its emission fills the beam.

Table 2.

Excitation temperatures, column densities, and measured and modelled abundances of COMs in L1544

Species (0”,0”) CH3OH peak
Tex (K) Nobs (cm−2) χobsc χmodd Tex (K) Nobs (cm−2) χobsc χmodd
CH3O 5-10b ≤(2.8-3.6)×1011 ≤(5.1-6.7)×10−12 7.7×10−11 8.0e 4.0×1011 2.7×10−11 1.3×10−10
CH3OCHO 5.1±2.3a (4.4±4.0)×1012a (8.1±7.4)×10−11 8.0×10−11 7.9±3.6 (2.3±1.4)×1012 (1.5±0.9)×10−10 1.2×10−10
CH3OCH3 5.7±3.1 (1.5±0.2)×1012 (2.8±0.4)×10−11 8.0×10−11 7.6±3.7 (7.7±1.6)×1011 (5.1±1.1)×10−11 1.0×10−10
CH3CHO 5.0e 1.2×1012 2.2×10−11 4.0×10−11 7.8e 3.2×1012 2.1×10−10 8.0×10−11
CH3NC 22.9e 2.7×1010 5.0×10−13 5-10b ≤(0.7-1.6)×1010 ≤(0.5-1.1)×10−12
c-C3H2Of 5-10b (1.0-3.5)×1011 (1.9-6.5)×10−12 8.0e 7.0×1010 4.7×10−12
CH2CHCN 5.8±0.9 (1.2±0.8)×1012 (2.2±1.5)×10−11 5.0±1.4 (5.8±4.7)×1011 (3.9±3.1)×10−11
HCCNC 5-10b (0.3-3.0)×1012 (0.6-5.6)×10−11 5-10b (1.0-9.1)×1011 (0.7-6.1)×10−11
HCCCHO 5-10b (1.8-6.3)×1011 (0.3-1.2)×10−11 5-10b (1.6-5.8)×1011 (1.1-3.9)×10−11
NH2CHO 5-10b ≤(1.3-1.7)×1010 ≤(2.4-3.1)×10−13 5.0×10−11 5-10b ≤(1.0-1.3)×1010 ≤(6.7-8.7)×10−13 7.0×10−11
CH3NCO 5-10b ≤(0.8-6.3)×1011 ≤(0.2-1.2)×10−11 5-10b ≤(0.9-6.3)×1011 ≤(0.6-4.2)×10−11
Glycine 5-10b ≤(3.3-5.8)×1012 ≤(0.6-1.1)×10−10 5-10b ≤(4.2-9.5)×1012 ≤(2.8-6.3)×10−10
a

Errors correspond to 1σ uncertainties in MADCUBAIJ.

b

Tex range assumed to calculate the total column densities from a single COM transition using MADCUBAIJ.

c

Molecular abundances calculated by using an H2 column density of 5.4×1022 cm−2 for the continuum peak (see Section 5 for details) and of 1.5×1022 cm−2 for the position of the CH3OH peak (Spezzano et al. 2016)

d

Abundances predicted by the model of Vasyunin et al. (in prep).

e

Fitting solutions could only be obtained by fixing Tex within MADCUBAIJ.

f

Tex and Nobs calculated using Weeds.

For the COMs with only one transition detected (and also for the non-detections), we again used MADCUBAIJ and assumed extended emission and a Tex range of 5-10 K for both positions. This Tex range agrees well with the values of Tex obtained from the COM multiline excitation analysis (Table 2), and with the Tex measured from CH3OH by Bizzocchi et al. (2014). The estimated values of Nobs are reported in Table 2.

5. COM abundance profiles in L1544

By calculating the COM molecular abundances toward the two positions in L1544, we can provide constraints to the COM abundance profiles as a function of radius within the core. For the continuum peak, we need to calculate the H2 column density, N(H2), within a radius of 13” or 1900 au (i.e. half the IRAM 30 m beam of our observations). The N(H2) of the core for radii ≤2500 au (~18” at 140 pc) is nearly flat with a radius dependence N(H2)∝ r−0.8 (Ward-Thompson et al. 1999). By using the peak N(H2) obtained by Crapsi et al. (2005, 9.4×1022 cm−2) for a radius of 6.5” (~910 au), we derive that N(H2)=5.4×1022 cm−2 for a radius of 13” (1900 au). This value is similar to that estimated by Bacmann et al. (2000) for the same radius (4.5×1022 cm−2; see their Table 2). The slight difference is due to the dust temperatures assumed in both calculations (12.5 K in Bacmann et al. 2000 vs. 10 K in Crapsi et al. 2005). Hereafter, we use N(H2)=5.4×1022 cm−2 for the position of the continuum peak within a radius of 13”.

For the CH3OH peak, we assume an H2 column density of 1.5×1022 cm−2 as derived by Spezzano et al. (2016) from Herschel data. The latter N(H2) corresponds to a visual extinction AV ~15-16 mag using the Bohlin et al. (1978) formula. We note, however, that the model of L1544 by Keto & Caselli (2010) and Keto et al. (2014) considers the extinction as a function of radius (within the core and not along the line-of-sight) and therefore the modelled AV at this position is about half that measured along the line-of-sight (AV ~7.5-8 mag; see also Section 7).

From Table 2 and Figure 3 (lower panel), we find that CH3O, CH3OCH3, CH3CHO are enhanced respectively by factors ≥4-5, ~2 and ~10 in the CH3OH peak with respect to L1544’s center (note that their associated 1σ uncertainties are lower than these enhancements). The other O-bearing COMs CH3OCHO, c-C3H2O and HCCCHO show average abundances slightly higher toward the CH3OH peak than toward the core center (by factors ≤3), although they agree within the uncertainties. The same applies to the N-bearing COMs CH2CHCN, CH3NC and HCCNC, whose abundances lie within the uncertainties (Figure 3).

Fig. 3.

Fig. 3

Comparison of the observed and modelled abundance of COMs toward the continuum peak (in yellow) and the CH3OH peak (in red; see Section 5). The abundances shown for c-C3H2O, HCCNC and HCCCHO are average values. Error bars correspond to 1σ uncertainties for CH3OCHO, CH3OCH3 and CH2CHCN, while they refer to the lower/upper abundance values estimated for c-C3H2O, HCCNC and HCCCHO (Table 2). Arrows indicate upper limit abundances.

6. Upper limits to the abundance of pre-biotic COMs

The high-sensitivity spectra obtained toward L1544 allow us to provide stringent upper limits to the abundance of pre-biotic COMs such as glycine, NH2CHO and CH3NCO. As shown in Table 2, the derived upper limits to the column density of glycine are factors 40-120 lower than the best upper limits obtained toward the Galactic Center (≤4×1014 cm−2; Jones et al. 2007). Our most stringent upper limit to the abundance of glycine in L1544 (≤6×10−11; Table 2) is also a factor of 5 lower than that inferred for the outer envelope of IRAS16293-2422 (≤3×10−10; Ceccarelli et al. 2000). Stacking analysis of the glycine lines with similar expected intensities in our frequency setup would reduce the rms noise level by a factor of ~3 (10 lines are covered), which implies an upper limit of ≤2×10−11. This upper limit is close to the glycine abundance assumed by Jiménez-Serra et al. (2014) for the detectability of this molecule in pre-stellar cores (~3×10−11). The upper limits derived for NH2CHO [≤(2.4-8.7)×10−13] and CH3NCO [≤(0.2-4.2)×10−11; Table 2] are consistent with those measured in L1544 and B1-b by López-Sepulcre et al. (2015, ≤5×10−13) and Cernicharo et al. (2016, ≤2×10−12) respectively.

7. Chemical modelling of O-bearing COMs

In Section 5, we have reported abundance enhancements by factors ~2-10 for CH3O, CH3OCH3 and CH3CHO as a function of distance in L1544. Other COMs such as CH3OCHO may also be enhanced at larger radii although its derived abundances agree within the uncertainties (Section 5). In this Section, we model the chemistry of O-bearing COMs3 in L1544 by using the 1D physical structure derived by Keto & Caselli (2010) and Keto et al. (2014).

We use the chemical code of Vasyunin & Herbst (2013), which considers that COMs are formed via gas-phase ion-neutral and neutral-neutral reactions after the release of precursor molecules from dust grains via chemical reactive desorption. This code has been updated with a new multilayer treatment of ices, an advanced treatment of reactive desorption based on the experiments by Minissale et al. (2016), and new gas-phase reactions proposed by Shannon et al. (2013) and Balucani et al. (2015). The complete results from this modelling will be reported in Vasyunin et al., (in prep.).

The chemical evolution of COMs is followed over 3×106 years toward 129 points along the radius of the core to a distance ~65500 au. For all these positions, the density, temperature and Av are taken from Keto et al. (2014). The initial molecular abundances are calculated by simulating the chemistry of a translucent cloud with density n(H)=102 cm−3 and Tgas=Tdust=20 K over 106 years. The initial atomic abundances are the same as those of Vasyunin & Herbst (2013).

Our model shows that the abundances of COMs such as CH3OCHO and CH3OCH3 change dramatically with time reaching maximum values at 105-3×105 years. The gas-phase COM radial profiles show their peak abundances at ~4000 au, which roughly coincides with the position of the CH3OH peak (Bizzocchi et al. 2014). This is the location where CO starts freezing out onto dust grains in our model and it agrees well with the distance where CO depletion is observed in L1544 (see the drop in C17O reported by Caselli et al. 1999). The CO depletion enhances the production of COM precursors on grain surfaces via hydrogenation reactions while, at the same time, the visual extinction is sufficiently high (AV ~7.5-8 mag; Section 5) to prevent the UV photo-dissociation of the chemically desorbed COM precursors by the external interstellar radiation field. UV photo-desorption is not efficient at this position in the core and, therefore, the release of COMs into the gas phase is dominated by chemical reactive desorption. Toward the center of the core, the abundances of COMs drop to undetectable levels (≤10−14) as a result of the severe freeze out.

To compare the model results with our observations, one needs to sample all COM material along the line-of-sight toward the continuum and the CH3OH peaks. The amount of COM material sampled in the direction of the CH3OH peak will be larger than toward the continuum peak. While toward the core’s center COMs are found within a shell Ri−1Ri (with R the radius from the center and i the position in the grid with i=1 at the outermost shell), toward the CH3OH peak COMs are sampled along a circle chord. For the core’s center the COM column density, N(COM), is given by:

N(COM)=2×i=2n[n(H)i*χi+n(H)i1*χi12]×(Ri1Ri) (1)

with n(H)i the gas density at radial point i, χi the COM abundance, (Ri−1Ri) the shell width, and n the number of shells in the model (n=129). Toward the CH3OH peak, N(COM) is calculated as:

N(COM)=2×i=2npeak[Ri12Rpeak2Ri2Rpeak2]××[n(H)i*χi+n(H)i1*χi12] (2)

where Rpeak is the radial distance of the CH3OH peak (4000 au), npeak is the radial point closest to this peak, and Ri and Ri−1 are the radii at positions i and i − 1. N(COM) are averaged over the beam of the IRAM 30 m telescope (~26”), and the COM abundances are finally calculated by dividing the average N(COM) by the N(H2) obtained following the same method (4.0×1022 cm−2 for the continuum peak and 1.0×1022 cm−2 for the CH3OH peak). Note that these values are similar to those used in Section 5. The best match with the observations is obtained at 105 years.

Table 2 and Figure 3 (upper panel) report the predicted abundances of CH3O, CH3OCHO, CH3OCH3, CH3CHO and NH2CHO. The rest of O-bearing species (c-C3H2O, HCCCHO, CH3NCO and glycine) are currently not included in the chemical network and their predictions are thus not reported. The modelled COM abundances reproduce the enhancements of CH3OCH3 and CH3OCHO observed toward the CH3OH peak within factors of 3 (Table 2 and Figure 3). For CH3CHO, however, the model predicts a smaller enhancement than observed, although the modelled and observed CH3CHO abundances agree within factors 2-3 for both positions. Large discrepancies are found for CH3O and NH2CHO (by factors ~5-15 and ~100-200, respectively; Table 2), which suggests that additional mechanisms are required to supress the production of these COMs in our model.

In summary, we report new detections of COMs in L1544. Species such as CH3O, CH3CHO and CH3OCH3 are enhanced by factors ~2-10 toward the CH3OH peak with respect to the core’s center. Other COMs such as CH3OCHO may also be enhanced with increasing distance within the core (by factors ≤3), although their abundance uncertainties are large. Despite the discrepancies found between the observed COM abundances and those predicted in our model, O-bearing COMs are predicted to present an abundance peak at 4000 au, which agrees well with the position of the CH3OH peak and with the radial distance at which CO depletion is observed. All this shows that high-sensitivity observations of COMs are strongly needed to put stringent constraints on chemical models and to step forward in our understanding of COM chemistry in the ISM.

Observations carried out under projects 129-14 and 001-16. IRAM is supported by INSU/CNRS (France), MPG (Germany) and IGN (Spain). We acknowledge the staff at the IRAM 30m telescope for the support provided during the observations. We also thank an anonymous referee for his/her careful reading of the manuscript and H. S. P. Müller for his help in the line identification. This research has received funding from the People Programme (Marie Curie Actions) of the EU’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement PIIF-GA-2011-301538, and from the STFC through an Ernest Rutherford Fellowship (proposal ST/L004801/1). AV and PC acknowledge support from the European Research Council (ERC; Project PALs 320620). LT acknowledges partial support from the Italian Ministero dell´ Istruzione, Università e Ricerca through the grant Progetti Premiali 2012 – iALMA (CUP C52I13000140001) and from Gothenburg Centre of Advanced Studies in Science and Technology through the program Origins of habitable planets.

Footnotes

1

Part of these observations belong to the ASAI (Astrochemical Surveys at IRAM) program.

2

The Spectral Line Atlas of Interstellar Molecules is available at http://www.splatalogue.net (Remijan et al. 2007).

3

Except NH2CHO, none of the N-bearing COMs reported here are currently included in the chemical network of Vasyunin et al. (in prep.).

This preprint was prepared with the AAS LATEX macros v5.2.

References

  1. Bacmann A, Taquet V, Faure A, Kahane C, Ceccarelli C. A&A. 2012;541:L12. [Google Scholar]
  2. Bacmann A, André P, Puget J-L, Abergel A, Bontemps S, Ward-Thompson D. A&A. 2000;361:555. [Google Scholar]
  3. Balucani N, Ceccarelli C, Taquet V. MNRAS. 2015;449:L16. [Google Scholar]
  4. Belloche A, Menten KM, Comito C, et al. A&A. 2008;482:179. [Google Scholar]
  5. Belloche A, Garrod RT, Müller HSP, Menten KM. Science. 2014;345:1584B. doi: 10.1126/science.1256678. [DOI] [PubMed] [Google Scholar]
  6. Bizzocchi L, Caselli P, Spezzano S, Leonardo E. A&A. 2014;569A:27B. [Google Scholar]
  7. Bohlin RC, Savage BD, Drake JF. ApJ. 1978;224:132B. [Google Scholar]
  8. Bottinelli S, Ceccarelli C, Neri R, et al. ApJ. 2004;615:354. [Google Scholar]
  9. Caselli P, Walmsley CM, Tafalla M, Dore L, Myers PC. ApJ. 1999;523:L165. [Google Scholar]
  10. Caselli P, Keto E, Bergin EA, et al. ApJ. 2012;759:L37. [Google Scholar]
  11. Ceccarelli C, Loinard L, Castets A, Tielens AGGM, Caux E. A&A. 2000;357:L9C. [Google Scholar]
  12. Cernicharo J, Marcelino N, Roueff E, Gerin M, Jiménez-Escobar A, Muñoz Caro GM. ApJ. 2012;759:L43. [Google Scholar]
  13. Cernicharo J, Kisiel Z, Tercero B, et al. A&A. 2016;587:L4C. doi: 10.1051/0004-6361/201527531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Charnley SB, Kress ME, Tielens AGGM, Millar TJ. ApJ. 1995;448:232. [Google Scholar]
  15. Chuang K-J, Fedoseev G, Ioppolo S, van Dishoeck EF, Linnartz H. MNRAS. 2016;455:1702. [Google Scholar]
  16. Crapsi A, Caselli P, Walmsley CM, Myers PC, Tafalla M, Lee CW, Bourke TL. ApJ. 2005;619:379. [Google Scholar]
  17. Elias JH. ApJ. 1978;224:857. [Google Scholar]
  18. Garrod RT, Weaver SLW, Herbst E. ApJ. 2008;682:283. [Google Scholar]
  19. Herbst E, van Dishoeck EF. ARA&A. 2009;47:427H. [Google Scholar]
  20. Hollis JM, Lovas FJ, Jewell PR. ApJ. 2000;540:L107. [Google Scholar]
  21. Hollis JM, Remijan AJ, Jewell PR, Lovas FJ. ApJ. 2006;642:933H. [Google Scholar]
  22. Ivlev AV, Röcker TB, Vasyunin A, Caselli P. ApJ ApJ. 2015;805:59. [Google Scholar]
  23. Jiménez-Serra I, Testi L, Caselli P, Viti S. ApJ. 2014;787:L33. [Google Scholar]
  24. Jones PA, Cunningham MR, Godfrey PD, Cragg DM. MNRAS. 2007;374:579. [Google Scholar]
  25. Jørgensen JK, Favre C, Bisschop SE, Bourke TL, van Dishoeck EF, Schmalzl M. APJL. 2012;757:L4. [Google Scholar]
  26. Keto E, Caselli P. MNRAS. 2010;402:1625. [Google Scholar]
  27. Keto E, Rawlings J, Caselli P. MNRAS. 2014;440:2616. [Google Scholar]
  28. Loison J-C, Agúndez M, Marcelino N, et al. MNRAS. 2016;456:4101. doi: 10.1093/mnras/stv2866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. López-Sepulcre A, Jaber AA, Mendoza E, et al. MNRAS. 2015;449:2438. [Google Scholar]
  30. Marcelino N, Cernicharo J, Agúndez M, et al. ApJ. 2007;665:L127. [Google Scholar]
  31. Maret S, Hily-Blant P, Pety J, Bardeau S, Reynier E. A&A. 2011;526:47. [Google Scholar]
  32. Martín S, Krips M, Martín-Pintado J. A&A. 2011;527A:36M. [Google Scholar]
  33. Minissale M, Moudens A, Baouche S, Chaabouni H, Dulieu F. MNRAS tmp. 2016:155M. [Google Scholar]
  34. Müller HSP, Schlöder F, Stutzki J, Winnewisser G. J Mol Struct. 2005;742:215. [Google Scholar]
  35. Öberg KI, Bottinelli S, Jorgensen JK, van Dishoeck EF. ApJ. 2010;716:825O. [Google Scholar]
  36. Pickett HM, Poynter RL, Cohen EA, Delitsky ML, Pearson JC, Müller HSP. J Quant Spectrosc & Rad Transfer. 1998;60:883. [Google Scholar]
  37. Rawlings JMC, Williams DA, Viti S, Cecchi-Pestellini C. MNRAS. 2013;430:264. [Google Scholar]
  38. Reboussin L, Wakelam V, Guilloteau S, Hersant F. MNRAS. 2014;440:3557. [Google Scholar]
  39. Remijan AJ, Markwick-Kemper A, ALMA Working Group on Spectral Line Frequencies Bulletin of the American Astronomical Society. 2007;39:963. [Google Scholar]
  40. Requena-Torres MA, Martín-Pintado J, Martín S, Morris MR. ApJ. 2008;672:352. [Google Scholar]
  41. Rivilla VM, Fontani F, Beltrán MT, Vasyunin A, Caselli P, Martín-Pintado J, Cesaroni R. ApJ. 2016 arXiv:1605.06109. [Google Scholar]
  42. Shannon RJ, Blitz MA, Goddard A, Heard DE. NatCh. 2013;5:745. doi: 10.1038/nchem.1692. [DOI] [PubMed] [Google Scholar]
  43. Spezzano S, Bizzocchi L, Caselli P, Harju J, Brünken S. A&A. 2016 accepted, arXiv:1607.03242. [Google Scholar]
  44. Vastel C, Ceccarelli C, Lefloch B, Bachiller R. ApJ. 2014;795:L2. [Google Scholar]
  45. Vasyunin AI, Herbst E. ApJ. 2013;769:34. [Google Scholar]
  46. Ward-Thompson D, Motte F, Andre P. MNRAS. 1999;305:143. [Google Scholar]

RESOURCES