Free Access
Issue
A&A
Volume 556, August 2013
Article Number A57
Number of page(s) 36
Section Interstellar and circumstellar matter
DOI https://doi.org/10.1051/0004-6361/201219431
Published online 26 July 2013

© ESO, 2013

1. Introduction

With the proliferation of high-sensitivity broadband receivers, wide frequency coverage spectral surveys covering >10 GHz are becoming the norm (e.g. Johansson et al. 1985; Blake et al. 1986b; Cernicharo et al. 1996; Schilke et al. 1997; Cernicharo et al. 2000; Caux et al. 2011). Such surveys provide comprehensive probes of the chemical inventory, excitation conditions and kinematics of sources such as protostars. Here, we present the first Herschel/HIFI spectral survey of an intermediate-mass protostellar core, OMC-2 FIR 4 in the Orion A molecular cloud, covering 480 to 1902 GHz.

The chemical composition of a protostar is linked to its evolutionary state and history, for example the relative abundances of the sulphur-bearing species in a protostellar core depend on the gas temperature and density, as well as the composition of the ices formed during the prestellar core phase (e.g. Wakelam et al. 2005). The chemical makeup of the gas also plays a role in the physical evolution of the protostar, for example by coupling with the magnetic field or by its role in the cooling of the gas (e.g. Goldsmith 2001). The large number of spectral lines captured by a survey places strong constraints on the excitation conditions and even spatially unresolved physical structure.

The HIFI spectrometer (de Graauw et al. 2010) onboard the Herschel Space Observatory (Pilbratt et al. 2010) made a large part of the far-infrared or terahertz-frequency regime accessible to spectral surveys (Bergin et al. 2010; Ceccarelli et al. 2010; Crockett et al. 2010; Zernickel et al. 2012; Neill et al. 2012; van der Wiel et al. 2013). Previous studies at these frequencies have been mostly limited to small frequency windows on the ground or, for space missions such as ISO, orders of magnitude lower spectral resolution and sensitivity than HIFI. Many hydrides and high-excitation lines of key molecules such as CO and H2O are routinely observable while Herschel is operational. Spectral surveys of star forming regions with HIFI are the focus of the CHESS1 (Ceccarelli et al. 2010) and HEXOS2 (Bergin et al. 2010) key programs. A comparison of low- to high-mass protostars, a key goal of CHESS, offers insight into the physics and chemistry of star formation through the entire stellar mass range. The intermediate-mass protostar in the CHESS sample is OMC-2 FIR 4 in Orion.

Orion is a giant molecular cloud complex at a distance of ~420 pc (Menten et al. 2007 found 414 ± 7 pc to the Orion Nebula Cluster and Hirota et al. 2007 437 ± 19 pc to Orion KL). Various stages of star formation are represented: Orion Ia and Ib are 10 Myr old clusters, while Class 0 protostars are still abundant in the OMC-1, -2 and -3 subclouds. The OMC-2 cloud core contains a number of protostars, including OMC-2 FIR 4 as the dominant Class 0 object. It is among the closest intermediate-mass protostellar cores and possibly an example of triggered star formation (Shimajiri et al. 2008).

While earlier studies attributed a luminosity of 400 or 1000 L to OMC-2 FIR 4 (Mezger et al. 1990; Crimier et al. 2009), recent Herschel and SOFIA observations found 30 to 50 L (Adams et al. 2012). Adams et al. (2012) further found an envelope mass of 10 M for FIR 4, while previous authors found it to be ~30 M (Mezger et al. 1990; Crimier et al. 2009) and continuum interferometry has yielded even larger estimates, 60 M (Shimajiri et al. 2008). The factor of 20 difference in luminosity is apparently related to the improved spatial resolution of the Herschel and SOFIA data used by Adams et al. (2012) compared to that used in earlier work, as well as to differences in the SED integration annuli, with one focusing on the mid-infrared peak and the other covering the whole millimetre source, as discussed elsewhere (López-Sepulcre et al. 2013b). Our results do not depend on the exact value of the luminosity, although eventually this issue will require a dedicated analysis to facilitate a proper classification of OMC-2 FIR 4.

This paper is structured as follows: the observations, their calibration and reduction are discussed in Sect. 2; we summarize the quality and molecular inventory of the data and present a rotational diagram analysis in Sect. 3; line profile components and energetics are discussed in Sect. 4; and the conclusions are summarized in Sect. 5.

The reduced data and the list of line detections presented in this paper will be available on the CHESS key program website1. The data can also be downloaded via the Herschel Science Archive3.

thumbnail Fig. 1

Upper panel: full baseline-subtracted spectral survey (black line) at 1.1 MHz resolution. The set of bright lines towering above the rest is CO, the feature at 1901 GHz is CII. Second panel: full baseline-subtracted spectral survey (black line) on a blown-up y-scale to emphasize weak lines and a second-order polynomial fit (red) to the subtracted continuum in bands 1a through 5a (red). Third panel: Tmb scale integrated intensity of each detected transition. Lower panel: the local rms noise around each detected transition.

2. Observations and data reduction

The data, presented in Fig. 1, were obtained with the HIFI spectrometer on the Herschel Space Observatory in 2010 and 2011, as part of the Herschel/HIFI guaranteed-time key program CHESS (Ceccarelli et al. 2010). The spectral scan observations were carried out in dual beam switch (DBS) mode, using the Wide Band Spectrometer (WBS) with a native resolution of 1.1 MHz (0.7 to 0.2 km s-1). The data were downloaded from the Herschel Science Archive, re-pipelined, reduced, and then deconvolved with the HIPE software (Ott 2010, version 6.2.0 for the SIS bands and 8.0.1 for the HEB bands). Kelvin-to-Jansky conversions were carried out with the factors given by Roelfsema et al. (2012), which is also the standard reference for other instrumental parameters.

The spectrum on which line identification was carried out was obtained by stitching together the deconvolved spectral scans and single-setting observations. In case of band overlap, the spectra were cut and stitched at the central frequency of the overlap. In principle, a lower rms noise could be obtained for the band overlap regions by combining the data from adjacent bands, but this requires corrections for sideband gain ratio variations, which are still being characterized (see also Sect. 2.3).

2.1. Data quality after reduction

After default pipelining, the data quality is already very high. However, in several bands unflagged spurious features (spurs) prevent the deconvolution algorithm from converging. This problem is resolved by manually flagging the spurs missed by the pipeline. The baseline level in all bands is mostly gently sloping, but has occasional noticeable ripples. The data quality after spur flagging and baseline subtraction is excellent, as seen in Fig. 1. Updated reductions will be provided on the CHESS KP and Herschel Science Center websites.

In bands 1 through 5, an important concern is ghosts from bright (Ta ≥ 3  K) lines (Comito & Schilke 2002). The effect of ghosts on the overall noise properties is negligible, but they may locally imitate or damage true lines. To check this, we performed a separate reduction where bright lines are masked out and not used in the deconvolution. In bands 6 and 7, we have no ghost problems, as the signal to noise ratio of even the strongest lines is small, and ghosts are typically at the scale of double sideband intensity variations, which are ≤10% of the peak intensity. Table 1 lists the measured root-mean-square (rms) noise for the central part of each full band at 1.1 MHz resolution. Bands 6 and 7 were observed only partially, their rms noise values can be seen in the bottom panel of Fig. 1.

Table 1

Summary of the full-band HIFI observations and of fluxes at selected standard wavelengths.

2.2. Line identification

All the lines detected in the survey are summarized in Fig. 1, where we show the full HIFI spectrum, and the integrated flux and corresponding rms noise level of each line. As the main detection criterion, we adopted a limit of S ≥ 5 for the signal to noise (significance) of the integrated line flux. We use a local definition of the signal to noise ratio:

S=|i=1NTmb,idvrms·dv·N|,\begin{equation} S = \left| \frac{ \int_{i=1}^{N}{ {T}_{\textrm{mb},i}}{\rm d}v}{ \textrm{rms} \cdot {\rm d}v \cdot \sqrt{N} } \right|, \label{eq:fluxsigma} \end{equation}(1)where S is the significance, the integral gives the integrated intensity, i is the channel index, Tmb,i is the main beam temperature of channel i and dv the channel width, N is the number of channels covered by the line, and rms is the local rms noise around the line, measured at a resolution of 1.1 MHz. Given ~106 channels in the data and a typical extent of 10...100 channels per line, the total number of false-positives for a flux detection limit of S = 5 in the entire survey is negligible.

Lines in the survey were mostly identified using the JPL4 (Pickett et al. 1998) and CDMS5 (Müller et al. 2005) catalogs. The literature was consulted for H2O+. The line identification was carried out in two phases and relied on the fact that the OMC-2 FIR 4 spectrum, while relatively rich in lines, is sufficiently sparse at our sensitivity that most lines can be individually and unambiguously identified.

In phase 1, we employed the CASSIS6 software to look for transitions of more than 80 molecules or isotopologs that had been previously reported in spectral surveys or were expected to be seen in the HIFI data. Reasonable cutoffs were applied to limit the number of transitions investigated. For example, for CH3OH, we set Eu < 103 K, Aul > 10-4s-1 and | Ku | ≤ 5, yielding >2000 transitions in the HIFI range. The location of each of these transitions was then visually inspected in the survey data. Once marked as a potential detection, a feature was not excluded from re-examination as a candidate for another species, with the intention of producing a conservative list of blend candidates. For suspected detections, the line flux was measured in a range covering the line and accommodating potential weak wings (typically ~20 km s-1 in total). The local rms noise was determined from two line-free nearby regions for each line, and the line flux signal-to-noise ratio was calculated from Eq. (1). The majority of the investigated transitions were not deemed even candidate detections, and ~10% of all chosen candidates turned out to be below the S = 5 limit. The identification process was greatly sped up by the use of the CASSIS software as well as custom HIPE scripts. Nearly all the lines reported in this paper were identified in phase 1.

In phase 2, we performed an unbiased visual inspection of all the data, looking for features significantly exceeding the local rms noise level and not yet marked as detections in Phase 1. This process was aided by an automated line-finder that uses a sliding box to identify features exceeding S = 3 and 5 in the spectral data and also labels all previously identified lines. Phase 2 yielded a large number of candidates, of which only a subset were confirmed as line detections, while the rest failed our signal-to-noise test.

A summary of the detections is given in Sect. 3.1. The bottom two panels of Fig. 1 summarize the absolute line fluxes and rms noise values of the detected lines.

thumbnail Fig. 2

Fractional difference of the double-sideband CO line fluxes from their mean for each rotational line. The H polarization is shown in blue (x) and V in red (+). The inset shows the peak line intensity of the CO (5–4) transition, highlighted in the main plot with a box, versus intermediate frequency (IF) position. Negative IF frequency denotes lower side band (LSB).

2.3. Flux calibration accuracy

For HIFI, instrumental effects such as the sideband gain ratios and standing waves play a dominant role in the calibration accuracy and precision (Roelfsema et al. 2012). Standing waves arise from internal reflections in the instrument and, to first order, contribute a constant ≲4% to the flux calibration uncertainty across each band. The sideband gain ratio (SBR) characterizes the fraction of the total double-sideband intensity that comes from the upper or lower side band (USB, LSB). In an ideal mixer, the USB and LSB contributions are equal, however in reality this is not exactly the case, particularly toward the edges of the receiver bands. Here, we discuss the flux calibration uncertainty in the data, using the overlaps of adjacent HIFI bands, as well as an analysis of the CO line properties at the double-sideband stage.

Of all the lines in our survey, 10% are in overlapping sections of HIFI bands, which we use to obtain a repeat measurement of their fluxes after deconvolution, and thus an estimation of the calibration and processing uncertainties. Focussing on the overlap of bands 1b and 2a, where the SBR variations are known to be large (Higgins 2011), we find that the line flux uncertainty is at the ~10% level, although this may depend to a substantial degree on how the data reduction is carried out.

To estimate the SBR impact in the centers of the HIFI bands, we analyze the fluxes of 12CO lines in the double sideband data. In Fig. 2, we show the fractional difference from the mean for the integrated intensity of each CO line observed in Spectral Scan mode, i.e. with multiple LO settings. H and V polarization are shown in blue (x) and red (+), respectively. The inset in Fig. 2 shows the variations of the CO (5 − 4) line peak intensity with LO setting, revealing a correlation with the distance of the line from the center of the intermediate frequency (IF) range, consistent with a SBR variation across the band. This correlation is similar for the other CO lines. There is also a systematic offset between the intensities in the H and V polarizations, which we do not consider. We find the relative variations from uncorrected SBRs within a band to be ≲4%, although other factors may contribute to the total flux uncertainty budget.

Corrections for the SBR variations are already in the pipeline for band 2a and are being characterized for all bands (Higgins et al. 2009; Higgins 2011). A more thorough analysis of the impact of SBRs as well as operations such as baselining and deconvolution on the line fluxes is needed to exploit the full potential of HIFI. This is particularly important for absorption and weak emission lines.

Table 2

Summary of the detected species.

3. Overview and results

3.1. Detected lines and species

We found and identified a total of 719 lines from 26 molecular and atomic species and 14 secondary isotopologs at or above a flux signal to noise level of 5. All the detected features were identified, i.e. no unidentified lines remained. The detections are summarized in Table 2, and a full list of lines, including a description of potential blends, is given in Table A.1, in Appendix A. Of the detected lines, 431 or 60% belong to CH3OH. Another 74 or 10% belong to H2CO. In comparison, from SO and SO2 we detect only twelve and two transitions, respectively. Four deuterated isotopologs are detected: HDO, DCN, NH2D and ND. The molecular ions include HCO+, N2H+, CH+, SH+, H2Cl+, OH+ and H2O+.

The upper level energies of the detected transitions range from 24 to 752 K and the typical value is Eu ~ 100 K, indicating that much of the emitting gas in the beam is warm or hot. Many of the transitions have very high critical densities, ncr > 108  cm-3, suggesting that much of the emission originates in dense gas, probably a compact region. Self-absorption in CO, H2O and NH3 indicates that foreground material is present at the source velocity, while blueshifted continuum absorption in OH+, CH+, HF and other species points to another foreground component.

In terms of integrated line intensity, CO dominates with 60% of the total line flux, H2O is second with 13% and CH3OH third with 9%. The line and continuum cooling are discussed in more detail in Sect. 4.2.

Table 3

Results of rotational diagram analyses for isotopologs of CO in two upper level energy ranges, Eu < 200 K and Eu > 200 K.

thumbnail Fig. 3

Mean velocities and linewidths from Gaussian fits to lines of representative species. Several groups emerge, these are labeled in gray and referred to in the text. The orange bars give the range of fit parameters of the full set of lines of each species. The black bars, at top left, show the conservative Gaussian parameter fit uncertainties (see also Sect. 3.2). Where the orange bars are one-sided, showing the conservative fit errors, only a single line was detected or simultaneous fitting of multiple lines forced the species to appear at a single vlsr. For a discussion, see Sect. 4.1.

3.2. Line profiles

There is a wealth of information in the line profiles of the detected species. Two striking examples are the different line profile components revealed by the different molecules and substantial changes in line parameters such as vlsr and full-width half maximum (FWHM) with changing upper level energy or frequency for some molecules.

The statistical significance of the flux of each detected line, by definition, is at least 5σ. For some lines, this makes a visual confirmation unintuitive, however for clarity we prefer the formal signal-to-noise cutoff. As an example, the weakest CS lines are consistent with the intensity as modeled based on the stronger lines in the rotational ladder. The fluxes in Appendix A originate in channel-by-channel integration, while the velocity is given both from the first moment as well as a Gaussian fit to the profile, and the FWHM is given only from Gaussian fitting.

The parameters and uncertainties for each transition are given in Appendix A. We give here typical uncertainties of the Gaussian parameters for the 479 unblended lines. For vlsr, a cumulative 82% of the lines have uncertainties below 0.1 km s-1, 98% fall below 0.5 km s-1 and only one line has δvlsr  >   1 km s-1. This is an H372\hbox{$_{2}^{37}$}Cl+ line, which represents a weak set of blended hyperfine components. For FWHM, a cumulative 46% of lines have uncertainties below 0.1 km s-1 and 91% are below 0.5 km s-1. Fourteen lines have δFWHM > 1 km s-1, but none of these have FWHM/δFWHM < 5, except for one weak CH3OH line and the H372\hbox{$_{2}^{37}$}Cl+ feature mentioned above.

For the purposes of this paper, we distinguish the following line profile components, as illustrated in Figs. 4 and 3: the quiescent gas, wings, broad blue, foreground slab, and other. Their nature is discussed in Sect. 4.1. We emphasize that this is first and foremost a morphological classification, and that the underlying spatial source structure may be more complex than is immediately apparent from the emergent line profiles.

The quiescent gas refers to relatively narrow lines, FWHM ~ 2...6 km s-1. While it is not clear that 6 km s-1 really originates in quiescent material, currently we lump these velocities together to denote material likely related to various parts of the envelope, to distinguish them from broad lines tracing outflowing gas. Quiescent gas may have at least two subcomponents, one at the source velocity of 11.4 km s-1 and another at 12.2 km s-1. The wings refers to a broad component, difficult to fully disentangle but apparently centered around ~13 km s-1 and with FWHM   ≥   10 km s-1. The broad blue is traced by SO and is unique for its combination of blueshifted velocity and large linewidth, both ~9 km s-1. Other species may have contributions from this component. The foreground slab refers to narrow lines at ~9 km s-1, most of them in absorption. We use the term other for line profile features which do not fall in the above categories. The velocities of all components shift around by ~1 km s-1 with species and excitation energy, pointing to further substructure in the emitting regions, although part of this variation is certainly due to measurement uncertainties and could also be due to uncertainties of order 1 MHz in the database frequencies of some species.

Using the HIPI7 plugin for HIPE, we inspected several species for contaminating emission in the reference spectra of the dual beam switch observations. The species were those with the strongest lines or where contamination might be suspected. For CO, CI and CII strong emission in one or, in the case of CO, both of the HIFI dual beam switch reference positions creates artificial absorption-like features where emission is subtracted out of the on-source signal. This is evident for CO as deep, narrow dips in the line profiles, and makes determining the quiescent gas contribution to these lines very inaccurate. In the case of CII, the line itself peaks to the blue of the reference position emission and we judge the problem to be less severe, similarly to CI where only one reference position appears to be substantially affected. The deep self-absorption in several H2O lines appears to be related to the source. Extended weak H2O 11,0 − 10,1 emission is present on ~5′ scales in OMC-2 (Snell et al. 2000), but this emission seems to peak strongly on OMC-2. Previous observations have demonstrated the large extent of uniform CO 1 − 0 (Shimajiri et al. 2011) and CII emission (Herrmann et al. 1997), consistent with the contamination seen in the HIFI spectra.

thumbnail Fig. 4

Main components of the line profiles. The solid vertical line shows the source velocity, 11.4 km s-1. The two velocity regimes of quiescent gas are illustrated by C18O and CH3OH. The deep, narrow absorption feature in CO is due to emission in the reference beams, while the absorption in H2O appears to be source-related. The broad blue component is represented by SO. The HF line traces foreground material in the foreground slab, at 9 km s-1, with another contribution from the quiescent gas.

3.3. Line density

In Table 1, we give the line density per GHz measured in each band. The typical value is 1 line GHz-1. At 500 GHz, with rms noise levels of 16 mK, the line density is 1.9  GHz-1, and at 1 THz, with rms noise levels of 70 mK, it is 0.7  GHz-1. At 1200 GHz, with and rms noise of 158 mK, the line density is only 0.3  GHz-1. The frequency resolution is 1.1 MHz in all cases. Clearly, the line density decreases markedly with frequency. This is due to the decreasing sensitivity of our survey and the increasing demands on temperature and density to excite high-lying rotational levels. A similar decrease for Orion KL was discussed by Crockett et al. (2010). As the line detections cover only 7% of all frequency channels at 500 GHz, a range where the highest number of transitions from CH3OH, SO2 and other “weed” molecules is expected, we conclude that our survey is far from the line confusion limit.

3.4. The continuum

While continuum emission studies are not the main goal of our HIFI survey, the high quality of the spectra allows a continuum level to be determined for use in line modeling. For example, local wiggles in the baseline can mimick a continuum and distort the absorption line to continuum ratio. We provide here a global second-order polynomial fit to the continuum in bands 1a through 5a, where the data quality is highest and the frequency coverage is complete. We stitched the spectra with baselines intact and sampled every 10th channel to reduce the data volume. All spectral regions containing line detections were excluded from the fit. For a polynomial of the form Tmb[K]=a+b·ν[GHz]+c·(ν[GHz])2,\begin{equation} T_{\textrm{mb}} \textrm{[K]} = a + b\cdot\nu\textrm{[GHz]} + c\cdot(\nu\textrm{[GHz]})^{2}, \end{equation}(2)we find the parameters to be a   =    − 0.51979, b   =   0.0015261 and c =  −4.1104 × 10-7. This fit is displayed in the second panel of Fig. 1 and is valid in the range 480 to 1250 GHz.

3.5. Rotational diagrams for CO isotopologs

We performed a basic rotational diagram (Goldsmith & Langer 1999) analysis for CO. This is more straightforward than for many other species due to the detection of several isotopologs as well as the low critical density. The results are summarized in Table 3, with rotational excitation temperatures and local thermodynamic equilibrium (LTE) column densities. The rotational temperature, Trot, equals the kinetic one if the emitting medium is in LTE, and if optical depth effects and the source size are accounted for. For subthermal excitation, if the source size is known, Trot gives an upper limit on Tkin, and the obtained column density is a lower limit on the true value. We provide results for two source sizes: beam-filling and 15”. The latter is consistent with the dense core (Shimajiri et al. 2008; López-Sepulcre et al. 2013b).

For 12CO, we used only the flux more than 2.5 km s-1 away from the line centre, to avoid the reference contamination that affects the lower lines. Thus, effectively the 12CO diagram results are for the line wings. In each velocity bin, the 12CO lines were corrected for optical depth using 13CO, yielding results that match those of 13CO very well. Assuming an isotopolog ratio of 63, the 12CO optical depth away from the line centre is found to be ≤2 and the value decreases with increasing Ju. We expect the C18O and C17O isotopologs to be optically thin, and a comparison of their column densities with that of 13CO shows that the latter is only slightly optically thick at the line center, which dominates the flux of this species. For 13CO and C18O, we find a column density ratio of 6, while 7 is expected.

To look for changes with increasing Eu, we perform the analysis in two excitation regimes: Eu < 200 K and Eu > 200 K. We find that Trot increases by a factor of 2 − 3 with Ju, in other words higher-lying transitions have a higher excitation temperature. Thus, while the results in Table 3 show that a somewhat higher Trot is found for C18O than for C17O, more lines are detected for the former, and fitting the same transitions for both species gives a better match.

Due to its low critical density (n ≲ 106 cm-3 up to Ju = 16), CO is easily thermalized at densities typical of protostellar cores, ~106 cm-3. Such densities may not exist in the regions that emit in the line wings. Therefore, the temperature values in Table 3 are upper limits on the kinetic temperature.

thumbnail Fig. 5

Normalized profiles of the CO lines detected in the survey, displayed with a vertical offset of unity between each profile. The solid vertical line marks the source velocity of 11.4 km s-1. The wings are increasingly important toward high rotational levels. Up to Ju   =   11, the quiescent gas is masked by contamination in the reference beams, which causes absorption-like dips in the profiles.

thumbnail Fig. 6

Normalized profiles of the H2O lines detected in the survey, displayed with a vertical offset of 1 between each profile. The solid vertical line marks the source velocity of 11.4 km s-1. The narrow dips are dominated by self-absorption.

Analyses of ground-based observations of C18O in OMC-2 FIR 4 are consistent with our results. The column density we find assuming a beam-filling source, N   =   2.2 × 1015 cm-2, is almost exactly the same as that found by Castets & Langer (1995) from the 1 − 0 and 2 − 1 lines with with the 15 m SEST telescope, N   =   2.5 × 1015 cm-2. Using the IRAM 30 m telescope and the same transitions, Alonso-Albi et al. (2010) found Trot   =   22 K and N   =   4.8 × 1015 cm-2. For a centrally concentrated source, such an increase of average column density with decreasing beam size (θSEST   ≈   2·θIRAM) is expected, although given that the true uncertainties on any column density determination are likely around a factor of two, the difference may be insignificant. The different C18O rotational temperatures, 52 K from HIFI and 22 K from IRAM, again assuming beam-filling, indicate that the high-J lines preferentially probe warmer gas, consistent with our rotational diagram results in the low and high Eu regimes.

3.6. Comments on individual species

Here, we comment on each detected species. All quoted line parameters are from single-Gaussian fits, unless explicitly stated otherwise.

3.6.1. CO, 13CO, C18O, C17O

The stitched spectrum of OMC-2 FIR 4 is dominated by the CO ladder, towering above the other lines in Fig. 1 and shown individually in Fig. 5. The peak Tmb values are in the range 4.4...20.1 K. The lines are dominated by emission in the wings and quiescent gas velocities, but up to Ju   =   11, emission from the reference beams masks the narrower component and results in fake absorption features due to signal subtraction. With increasing Ju, the Gaussian fit velocity shifts from 11.9 to 13.3 km s-1.

As the relative contribution of the wings increases with increasing Ju level, or equivalently with decreasing beam size, the wing component likely traces gas that is hotter than any other important CO-emitting region in OMC-2 FIR 4. On the other hand, referring to the rotational temperatures in Table 3, we see that the optical depth corrected 12CO wing Trot matches that of the entire 13CO line very well – there is a correlation between the fluxes in the line wings and centres.

We also detect several lines of the isotopologs 13CO, C18O and C17O. While C18O and C17O trace the quiescent gas component, the 13CO lines contain hints of the wings  as seen in Fig. 7. From Ju = 5 to 11, the Gaussian linewidth of 13CO increases near-linearly from 3 km s-1 to 9 km s-1. With increasing Ju, the width of the C18O lines changes from 2 to 3.4 km s-1, a less pronounced change than 13CO but similar to N2H+.

We list the C17O 6 − 5 line as blended with CH3OH, but similar methanol transitions are not detected and the line is unusually narrow and redshifted to be a CH3OH detection, suggesting the flux originates purely in the CO isotopolog. The C17O 7 − 6, however, has a significant flux contribution from a blended H2CO line, as evidenced by the detection of formaldehyde transitions similar to the blended one.

thumbnail Fig. 7

Normalized line profiles of carbon-bearing species, illustrating their different kinematics. The solid vertical line marks the source velocity of 11.4 km s-1. The short vertical dashed lines show the CH hyperfine components except the one the vlsr is centered on. No CASSIS model was made for CH, see text. The CII absorption at 11...15 km s-1 is an artefact due to contamination in the reference spectra. The dip in CI at ~10 km s-1 as also due to reference beam contamination.

3.6.2. Water: H2O, OH, OH+, H2O+

One of the key molecules observable with HIFI, water, is well detected in OMC-2 FIR 4, as seen in Figs. 6 and 8. Similarly to CO, the H2O lines are self-absorbed within a ~0.5 km s-1 blueshift from the source velocity, corresponding to the quiescent gas but in absorption. They also clearly display the wings component, Fig. 3 shows the H2O wings are broader than those of CO and the lines are typically centered near 13 km s-1. The peak intensity of the lines does not exceed ~4.5 K. The single-Gaussian fit linewidths vary considerably, from 9.9 to 20.5 km s-1, although it must be kept in mind the line profiles are complex. The isotopolog H182\hbox{$_{2}^{18}$}O, weakly detected, is centered at vlsr = 13.7 km s-1 and 19.2 km s-1 wide. As seen in the top panel of Fig. 6, the isotopolog profile is flat and weak, and thus difficult to interpret, but it appears to be as broad as H2O itself. The H2O lines point to a complex underlying velocity and excitation structure within the envelope.

The 3/2 − 1/2 transition of OH, comprizing six hyperfine components, is detected in emission and one set of hyperfine components is shown in Fig. 8. An LTE fit with CASSIS, including the hyperfine structure, yields vlsr = 12.7 and FWHM = 19.1 km s-1. This is consistent with the wings component, of which OH may be the best tracer in terms of line profile complexity. The fit is mostly useful for constraining the kinematic parameters of this species – the source size, column density and excitation temperature are not well constrained. In the best-fit model, the hyperfine components are optically thin (τ   ≲   0.01). The OH line parameters are very similar to those typical for H2O and for high-J CO lines.

Multiple OH+ transitions are detected in absorption at 9.3 km s-1, part of the foreground slab component. We also detect the H2O+ 11,1 − 00,0 line at 8.4 km s-1. Selected lines are presented in Fig. 8. These ions and the tenuous gas they probe are analyzed in a companion paper (López-Sepulcre et al. 2013a).

thumbnail Fig. 8

Normalized line profiles of some oxygen-bearing species, in particular relating to H2O chemistry. The solid vertical line marks the source velocity of 11.4 km s-1. The OH, OH+ and H2O+ spectra have been gaussian-smoothed to 4 MHz for clarity.

thumbnail Fig. 9

Normalized line profiles of some CH3OH and H2CO lines, representing, from bottom to top, upper level energies Eu ≈ 100 K, 200 K and 400 K for both species. The solid vertical line marks the source velocity of 11.4 km s-1.

3.6.3. CH3OH and H2CO

Lines of CH3OH and H2CO are shown in Fig. 9, although due to the enormous number of detections the only criterion for the displayed subset is to cover upper level energies from ~100 K through 200 K to 400 K for both species.

CH3OH dominates the number of detected lines in OMC-2 FIR 4 with 431 lines, and H2CO is second with 74. While the median CH3OH velocity is vlsr =   12.2 km s-1 and FWHM = 4.7 km s-1, the lines display a significant trend in vlsr with upper level energy: at Eu = 50 K, they peak at 11.8 km s-1, while by Eu   =   450 K, the typical peak has shifted to 12.5 km s-1. This suggests the low-excitation lines are dominated by the source velocity component of the quiescent gas, while the redshifted (~12 km s-1) component becomes increasingly dominant at high excitation energies. This dominance of an underlying hot component is in line with the conclusion of our previous CH3OH analysis (Kama et al. 2010), where a subset of the lines was presented, including line profiles and rotational diagrams.

The H2CO lines range in upper level energy from 97 K to 732 K, and the median parameters, vlsr  =   11.9 km s-1 and FWHM = 4.7 km s-1, are statistically indistinguishable from those of CH3OH. The line of sight velocity trend of H2CO also resembles that of CH3OH.

As no isotopologs of CH3OH and H2CO are detected and because their excitation will be analyzed in a separate paper, we do not give rotational diagram results for these species in Table 3. However, the shifting of the emission peaks with upper level energy and frequency suggests these species probe multiple regions of OMC-2 FIR 4.

3.6.4. HCO+ and N2H+

The HCO+ and N2H+ lines, an overview of which can be seen in Fig. 10, are dominated by the quiescent gas component. The wings component appears to contribute at a low level to HCO+ emission. Toward higher J levels, the HCO+ lines become double-peaked, with one component near 10 km s-1 and another at 12 km s-1. An examination of Fig. 10 shows that the double peak is relevant mostly for the highest HCO+ lines, for which the critical densities are ~108 cm-3 and lower level energies >200 K. The apparent double peak may be due to self-absorption at ~10 km s-1. There is no indication in the reference spectra of contamination problems for HCO+. H13CO+ is a prime example of the quiescent gas component.

The N2H+ stays single-peaked, but at Eu   >   200 K (Ju   >   9), the peak redshifts to 12 km s-1. While the N2H+ lines are narrower than those of HCO+ by roughly a factor of two, their widths and velocities are similar to the H13CO+, C18O and C17O lines.

thumbnail Fig. 10

Selection of normalized line profiles of HCO+ and N2H+, illustrating trends in the line kinematics. The solid vertical line marks the source velocity of 11.4 km s-1.

3.6.5. Carbon: CI, CII, CH, CCH, CH+

Aside from CO, a number of simple carbon-bearing species are detected. A comparison of some lines of 13CO, CI, CII, CCH, CH and CH+ is given in Fig. 7, indicating substantial variations in the line profiles.

The CI and 13CO lines also correspond to the quiescent gas. The highest-J13CO lines show a broad base, likely the wings. The CI lines show an absorption dip at around 10 km s-1, which is due to emission in the reference positions and may be the cause of the slight redshift observed for CI in Fig. 3. The CI line fluxes from the bulk of OMC-2 FIR 4 are underestimated due to the self-absorption.

The CII line peaks at 9.5 km s-1 and likely represents emission from the foreground slab. The CII absorption in the 11...15 km s-1 velocity range is an artefact caused by emission in the reference position spectra. To estimate the amount of flux lost due to this at the line peak, we reprocessed the data with one DBS reference spectrum at a time. We established that, while the 11...15 km s-1 absorption features vary strongly with the choice of reference spectrum, the 9.5 km s-1 peak varies only by ~10%, suggesting that the amount of line flux lost in this component through reference subtraction is small or that the large-scale emission at this velocity around OMC-2 is remarkably uniform. The latter is unlikely as the difference spectrum of the two reference positions shows a strong positive-negative residual, indicating a velocity offset between the components. If the extended CII emission at 9.5 km s-1 in OMC-2 is of comparable intensity to the detected peak, any intensity fluctuations must be at the ≤10% level on a scale of 6′, given a resolution of 12′′. Accounting for only the upper level population, we obtain a lower limit of 3.4 × 1016 cm-2 on the CII column density toward FIR 4.

thumbnail Fig. 11

Examples of normalized line profiles of nitrogen-bearing species. The solid vertical line marks the source velocity of 11.4 km s-1. The top line profile is centered on HCN and the dashed vertical lines mark the locations of the strongest NH hyperfine components.

CCH is dominated by the quiescent gas component, but shows evidence for other components. The lines have a broad base which appears redshifted, perhaps indicating a contribution from the wings. The CH lines are slightly redshifted and correspond to the quiescent gas emission. No CASSIS model fitting was done, the line parameters were obtained from a Gaussian fit to a detected isolated hyperfine component. The parameters are similar to those of SH+ and HDO. The CH+ ion absorption line is strongly saturated, leading to the increased linewidth seen in Fig. 3, but it is centered on the foreground slab component. We compare CH+ and SH+ in Sect. 3.6.7.

3.6.6. Nitrogen-bearing molecules

Aside form N2H+, which is covered in Sect. 3.6.4, the main detected nitrogen-bearing species are HCN, CN, HNC and the nitrogen hydrides. There are substantial differences in the profiles with species as well as with upper level energy for the nitrogen-bearing species, similarly to carbon and sulphur. In Fig. 11, lines of several representative nitrogen-bearing molecules are shown on a common velocity scale.

thumbnail Fig. 12

Examples of normalized line profiles of sulphur-bearing species. The solid vertical line marks the source velocity of 11.4 km s-1. The CASSIS model for SH+, showing two hyperfine components, is given by the dashed red line.

HCN, CN and HNC. Gaussian fits to the HCN lines peak at 12.1 km s-1. Their large linewidth, characteristic of the wings component, puts them close to CO and H2O in Fig. 3. The upper level energies of the detected HCN lines range from 89 to 447 K. The high-lying lines, in particular, have critical densities around 1010 cm-3, indicating that the emitting regions contain very dense and hot gas. The H13CN profiles are also broad, although they show a peak corresponding to the quiescent gas.

The two detected HNC lines trace the quiescent gas component. The CN line profiles are dominated by the quiescent gas component, but there is also a contribution from the wings, as seen in Fig. 11.

NH and NH3. We detect some hyperfine components of the NH 12 − 01 transition in absorption on the HCN 11 − 10 emission line, as shown in Fig. 11. The lines are close to the quiescent gas component velocity. The dominant hyperfine components are in absorption until below the continuum level. The ND (12,3,4 − 01,2,3) transition is detected in emission and is shown in Fig. 14.

Seven transitions of NH3 are detected, covering 28 through 286 K in upper level energy. As seen in Fig. 11, the lines have a broad base, consistent with the wings, and they show narrow self-absorption near the quiescent gas component. We find no evidence for emission in the reference positions to be causing the absorption, but due to the relative weakness of the features this cannot be fully excluded at present. While the lines have a similar appearance to CO, H2O and OH, and are centered at the same velocity, they are typically a factor of four narrower, as seen in Fig. 3. We return to this point in Sect. 4.1. The fundamental ortho-NH3 line has a particularly interesting profile, with a sharp peak at 12.5 km s-1 and a plateau at 10...12 km s-1.

3.6.7. Sulphur-bearing molecules

The detected sulphur-bearing species are CS, C34S, H2S, SO, SO2 and SH+. As seen from the selection of lines in Fig. 12, there are significant differences between their line profiles.

The detected CS lines cover an upper level energy range of 129  K ≤ Eu   ≤   543  K and seem similar to CO in that they may have contributions from the quiescent gas and the wings. The critical densities of the high-lying lines are n   >   108 cm-3, indicating the presence of dense and hot gas in the emitting regions. The C34S 10 − 9 line is narrow and peaks at around 10 km s-1, likely tracing a dense, warm clump with a high CS abundance, at that velocity. The clumpy distribution of C34S in OMC-2 FIR 4 is explored further by López-Sepulcre et al. (2013b).

The H2S lines are dominated by the quiescent gas component, but the wings or broad blue components may be present at a low level.

The SO lines are the sole clear tracer of the broad blue component. They cover an upper level energy range of 165 to 321 K and have critical densities of order 108 cm-3, suggesting dense and hot gas in the emission region. It is notable that the SO lines are 9.3 km s-1 broad and peak at 9.4 km s-1, 2 km s-1 to the blue from the OMC-2 systemic velocity. We detect only two transitions of SO2, which are similar in their median properties to CO, perhaps having contributions from the broad blue, quiescent gas and wings components.

The detected SH+ hyperfine line emission is shown in the lowest part of Fig. 12. The line profiles are very similar to CH, as seen in Fig. 3 and by comparing with the second-to-lowest panel in Fig. 7. The line parameters were obtained by fitting the hyperfine structure with the CASSIS software, and found to be vlsr  =   (12.6 ± 0.3) km s-1 and FWHM = (2.8 ± 0.3) km s-1. The central velocity of SH+ matches that of the wings component, but the linewidth resembles the quiescent gas. It is interesting to note that we detect CH+ in absorption at 9.8 km s-1 and SH+ in emission around 12.2 km s-1, contrary to the strong correlation between these species seen in a sample of galactic sight-lines by Godard et al. (2012). The synthesis path of SH+ is S+   +   H2   →   SH+   +   H, which has an activation barrier of 9860 K, more than twice the 4640 K barrier to the production of CH+ via an analogous path. This may offer an explanation to our nondetection of SH+ in the foreground slab component, but it is not immediately clear why we do not detect CH+ at the same velocity as SH+ – excitation and chemistry may both play a role. In the models of Bruderer et al. (2010), there are regions near a protostellar outflow base where the SH+ abundance is elevated by several orders of magnitude with respect to that of CH+ due to sulphur evaporation from grains.

thumbnail Fig. 13

Normalized line profiles of the main detected HCl and H2Cl+ transitions. The solid vertical line marks the source velocity of 11.4 km s-1. The CASSIS models for each species, used to obtain the vlsr and width of the lines, are shown with red dashed lines.

3.6.8. Chlorine-bearing molecules

Lines of isotopologs containing 35Cl and 37Cl of two of the main chlorine-bearing molecules are detected: HCl 1−0 and 2−1, and H2Cl+ 1−0 and 2−1. For HCl, the line peak is at ~11.4 km s-1, the quiescent gas velocity. There is a broad base which may be identified with the wings component. For H2Cl+, we fitted the hyperfine structure with CASSIS, obtaining vlsr  =   (9.4 ± 0.2) km s-1 and FWHM = (1.8 ± 0.5) km s-1. Several examples of transitions of chlorine-bearing species are shown in Fig. 13.

Hydrogen chloride is predicted to be the dominant gas-phase chlorine reservoir in high-extinction regions (Blake et al. 1986b; Neufeld & Wolfire 2009), consistent with the expectation that the 11.4 km s-1 component traces the large-scale envelope. On the other hand, H2Cl+ is predicted to be a significant carrier in photon-dominated regions, and correspondingly H2Cl+ is detected in absorption in the blue-shifted foreground slab component. The chlorine-bearing species will be the focus of an upcoming paper (Kama et al., in prep.).

thumbnail Fig. 14

Selection of lines of deuterated species. A water line has been added for comparison with HDO. The solid vertical line marks the source velocity of 11.4 km s-1. The CASSIS model for ND is marked with a dashed red line.

3.6.9. Deuterated species

Our HIFI survey is poor in deuterated species, the only detections are HDO, DCN, NH2D and ND. The strongest lines are shown in Fig. 14. The HDO lines are very weak, therefore firm conclusions cannot be drawn, but the 11,1−00,0 line shown in Fig. 14 suggests similarities with H182\hbox{$_{2}^{18}$}O in velocity, and our tests with Gaussian decomposition of the H2O lines also suggest a similar emission peak location. The DCN median vlsr is 12 km s-1, consistent within the errors with HCN but with the linewidth again much narrower and corresponds to the redshifted side of the quiescent gas component, also traced by CH3OH and H2CO. Singly deuterated ammonia, NH2D, peaks at vlsr ≈ 11.2 km s-1 and corresponds well to other tracers of the quiescent gas component. The ND line is centered near the quiescent gas velocity but its width corresponds better to the wings or broad blue component. However, the line is weak and should be interpreted with caution.

3.6.10. HF

The J   =   1−0 transition of hydrogen fluoride is detected in absorption at 10.0 km s-1, and is shown in Fig. 4. The linewidth is 2.8 km s-1 and the estimated column density (1.2    ±    0.3) × 1013 cm-2. Modeling by López-Sepulcre et al. (2013a) suggests the presence of two different velocity components: one at 9 km s-1, corresponding to the foreground slab, and a dominant component around 11 km s-1, roughly the quiescent gas velocity.

4. Discussion

Much information about the kinematic, excitation and abundance structure of OMC-2 FIR 4 is encoded into the roughly 700 detected spectral lines. The source is kinematically and chemically complex. Substantial amounts of molecular gas are present in the HIFI beam at all probed scales (40′′...11′′ or 17 000 AU...5000 AU). We detect emission from high-J transitions of CO, CS, HCN, HCO+ and other species. The high critical densities (up to n   ~   109 cm-3) and excitation energies indicate that at least some of the emitting regions are very dense and hot or able to excite some transitions via infrared pumping. We focus below on the kinematical components and the energetics, deferring more detailed analyses to future papers.

4.1. Interpretation of the kinematic components

We now discuss the characteristics and possible nature of the kinematic components defined in Sect. 3.2. We emphasize again that the features discussed are predominantly line profile components and need not have a one-to-one correspondonence with actual source components. The diversity of line profile shapes is, in any case, a clear indication of the complexity of the underlying spatial variations of composition, density, temperature and velocity.

A correlation between the rotational temperature of the 12CO line wings and entire 13CO lines was pointed out in Sect. 3.6.1. This is based on a 12CO flux integration starting from ± 2.5 km s-1 from the line centre, and it is not clear if the same result would be found if the integration only included emission from much higher velocities, e.g. starting from ± 10 km s-1. If the correlation holds, it implies that there is a physical connection between the emission in the CO line centre and high-velocity wings and a Gaussian decomposition into a narrow and broad component may not be useful. This may contribute to a better understanding of the origin of the CO emission. The results of a detailed study of the CO and H2O line wings will be presented in a separate paper (Kama et al., in prep.). For the moment, we proceed with describing the morphological components proposed earlier in this paper.

Quiescent gas. This line profile component may have several subcomponents. One, centered around 11.0...11.5 km s-1, likely corresponds to the large-scale (~104 AU or 25′′) envelope of OMC-2 FIR 4 and matches the velocity of the bulk OMC-2 cloud (Castets & Langer 1995; Aso et al. 2000). This component is most clearly seen in C18O, C17O, N2H+ and NH2D, and it appears to contribute to the emission of most detected species. The other component is centered near 12.2 km s-1 and is best traced by CH3OH, H2CO and DCN. We reiterate that some of the lines classified as quiescent gas have substantial widths, >5 km s-1, however we lump them together with other lines which are relatively narrow when compared to the broadest lines, which must trace outflowing rather than envelope material.

The H2O, NH3 and high-J HCO+ self-absorption (if HCO+ is indeed self-absorbed) is blueshifted with respect to the source rest frame. One hypothesis for explaining this blueshifted self-absorption feature is a slowly expanding layer of warm gas in the inner envelope. Similar absorption features on broad H2O line profiles in a sample of protostars are discussed as originating in the inner envelope by Kristensen et al. (2012), who successfully reproduced such line profiles with an adaptation of the Myers et al. (1996) model, incorporating outflow emission partially obscured by an expanding layer of less excited gas.

Our previous analysis of CH3OH lines in a subset of the present data revealed that the quiescent gas component is dominated at high upper level energies by a compact, hot component, which we identified with a hot core (Kama et al. 2010). The rotational diagram results for other species in Table 3 provide further evidence for the importance of an underlying hot component.

Wings. The broad wings are seen most clearly in OH, H2O and CO, and likely trace at least one outflow. The existence of a broad component in the CO 3 − 2 line was noted already by Johnstone et al. (2003). An interpretation of this component is made difficult by the projected overlap of OMC-2 FIR 4 and one lobe of an outflow from the nearby source, FIR 3 (Shimajiri et al. 2008). Given the prominence and symmetry of the wings in the high rotational lines of CO, and the broadness of the HCN and CS lines – all indicative hot or dense emitting material – the wing emission may originate in a compact outflow from FIR 4 itself (Kama et al., in prep.).

Broad lines of OH correlate well with water and are associated with outflow shocks (Wampfler et al. 2010) and in OMC-2 FIR 4, the large width of the OH lines (FWHM = 19.1 km s-1) is consistent with an outflow shock origin. Furthermore, our modeling finds the OH lines to be optically thin, so together with the highest-J CO lines, OH may be the most straightforward tracer of this outflow.

In Fig. 3, NH3 corresponds to the outflow tracers CO, H2O and OH in terms of vlsr, but has a typical linewidth a factor of four smaller. In the L1157-B1 outflow context, similar observations have been explained with a model where NH3 is destroyed in a shock at velocities >15 km s-1, while H2O, for example, maintains its high abundance (Viti et al. 2011). Other species, such as CH3OH and H2CO, should also show emission at the outflow velocity, and a weak wing seems to indeed be present.

Broad blue. This component only appears clearly in lines of SO, although other species such as CO and CS do have a blue wing component that may be related. Its nature is unclear. It may be related to the compact blueshifted spot seen in low-frequency interferometry of SiO and other species by Shimajiri et al. (2008). Indeed, the SiO lines in our follow-up survey with the IRAM 30 m telescope also show a blueshifted emission component.

Foreground slab. The slab component, at vlsr  ~   9.5 km s-1, is traced almost exclusively by absorption lines of molecular ions associated with photon-dominated regions (PDRs), such as OH+, H2O+ and H2Cl+. The CII emission peak also corresponds to this component, as does part of the absorption in the fundamental line of HF. In addition to the set of species tracing the component, the fact that absorption is seen in low-lying lines suggests a very tenuous medium. In a companion paper (López-Sepulcre et al. 2013a), we present a detailed analysis of this component, finding it to be a low-density and low-extinction (Av   ≈   1 mag) PDR cloud in front of OMC-2, irradiated on one side by a heavily enhanced FUV field.

Other. Aside from the above four components, there is variation in line profiles between different species, upper level energies and observing frequencies. This includes the evolution of N2H+ and especially HCO+ line profiles with increasing J level (Fig. 10) and the plateau-and-peak profile of the fundamental ortho-NH3 line (Fig. 11). Many of these line profile aspects may be subcomponents of the quiescent gas and other aforementioned categories. A full interpretation of this variety of features, while important, is outside the scope of this paper. Pending further analyses of the HIFI data, we refer the reader to previous (Shimajiri et al. 2008) and upcoming (López-Sepulcre et al. 2013b) papers for interferometric results on the small-scale structure of OMC-2 FIR 4.

4.2. Line and continuum cooling

We investigated the role of molecular line emission in gas cooling by summing the integrated intensities of the detected transitions of each species. The results are given in the second-to-last column of Table 2, and in Fig. 15, we show the 11 dominant cooling molecules. Within the frequency coverage of the survey, CO is the dominant molecular coolant, emitting 60% of the total energy in the detected lines. The second most important is H2O with 13% and the third is CH3OH with 9%. Two other notable coolants are HCO+ and HCN, both contributing 2% of the total line flux.

Due to contamination in the reference positions, the total flux in CO lines is likely underestimated by a few tens of percent, as estimated from the lack of contamination in Ju   >   11 and a multicomponent analysis of the lower-J lines. Thus, the true CO to total line flux ratio may be as high as ~70...80%.

To measure the relative importance of line and continuum cooling, we integrated the spectra with baselines intact in the fully frequency sampled region of the survey (bands 1a through 5a or 480 to 1250 GHz), obtaining a flux of 1.3 × 10-12  W × m-2. Of this, 2.7 × 10-14  W × m-2 or 2% is in lines. In their 300 GHz range study of five low- to intermediate-luminosity protostars including OMC-2 FIR 4, Johnstone et al. (2003) found lines to contribute <8% of the measured continuum in their entire sample, consistent with our terahertz-range result. Assuming a distance of 420 pc, the flux we measure with HIFI between 480 and 1250 GHz corresponds to a luminosity of ~7 L, of which 0.1 L is line emission.

thumbnail Fig. 15

Fractional contribution of various species to the line emission from OMC-2 FIR 4. The 11 dominant cooling species, integrated across the entire 480 to 1902 GHz HIFI survey, are displayed. Note that the units are in percent of the total line flux in the HIFI survey, excluding continuum emission.

It is remarkable that the sulphur oxides, SO and SO2, contribute negligibly to the line cooling in OMC-2 FIR 4, in striking contrast to Orion KL, as discussed in Sect. 4.2.1.

thumbnail Fig. 16

Line cooling in the 795–903 GHz range in two sources in Orion. The symbols mark the percentage of line emission in each dominant cooling species in OMC-2 FIR 4 (crosses, this work) and in Orion KL (circles, Comito et al. 2005). The upper limits are 5σ. Note that the units are in percent of all line flux within the 795 to 903 GHz range, excluding continuum emission.

As the frequency coverage above 1250 GHz is not complete, the cooling contributions of some species in the HIFI range may differ from those given in Table 2, but for most species the total line fluxes should not differ much from their total 480 to 1902 GHz fluxes. Undetected weak lines contributing to the continuum may also introduce a small correction to the quoted numbers. The total line emission from OMC-2 FIR 4 may have a large contribution from CO, H2O and OI lines outside the high end of the HIFI frequency range, toward the mid- and near-infrared. A study of the spectrally unresolved CO lines seen toward OMC-2 FIR 4 with Herschel/PACS by Manoj et al. (2013) determined the CO luminosity between Ju   =   14 and 46 to be 0.3 L. A comparison of this with our HIFI CO line luminosity of 0.1 L shows that transitions at frequencies within the HIFI range contribute roughly the same total flux as those at higher frequencies. As the HIFI and PACS ranges overlap, the total CO luminosity from this region cannot be much above 0.4 , which is between 0.04% and 0.8% of the total luminosity, depending on the source luminosity estimate (50 to 1000 L, as discussed in Sect. 1).

4.2.1. Comparison with other sources

As a detailed comparison with other sources is outside the scope of this paper, we provide here an initial view.

In Fig. 16, we compare the relative line cooling in the 795 through 903 GHz range in OMC-2 FIR 4 and Orion KL, a well-studied strong line and continuum emitter. The numbers here are not to be confused with the results for the entire survey given above, furthermore the units here are K km s-1, while the full-survey fluxes were compared on the W m-2 scale. The selected species contain the seven most important coolants for either source. H2O is not considered in this comparison as it has no lines in the 795 to 903 GHz range. In OMC-2 FIR 4 in this range, CO emission contains 61% of the line energy, followed by CH3OH with 20%, HCN with 8% and HCO+ with 7%. In Orion KL, SO2 dominates with 24% of the energy, followed by CH3OH with 22%, CO with 16% and SO with 12%.

While the sulphur oxides contribute at the 10...20% level to line cooling in Orion KL, in OMC-2 FIR 4 both contribute ≤0.1% in the 795 to 903 GHz range, a difference of at least two orders of magnitude. This may be due to an exceptional contribution of energetic shocks in Orion KL. A similar scarcity of sulphur oxides in comparison to Orion KL has been reported before in samples of low- as well as high-mass protostars (Johnstone et al. 2003; Schilke et al. 2006). In addition to shocks, factors such as the thermal evolution of the gas and dust may also play an important role in abundance variations of sulphur-bearing molecules (Wakelam et al. 2004, 2005). The difference of peak velocity we observe between SO and CH3OH, ~2 km s-1, suggests that SO emission in OMC-2 FIR 4 is dominated by a spatially distinct region, a result seen also in Sagittarius B2 (Nummelin et al. 2000).

The nature and heating processes of Orion KL are currently under debate in the community and our comparison once again confirms the exceptional nature of this source. It must be kept in mind that the quoted Orion KL observations were carried out with the Caltech Submillimeter Observatory, with a beam roughly a third the size of that of Herschel at equivalent frequencies, therefore beam dilution effects may be important and the above comparison should be repeated with the HIFI survey of that source (Crockett et al., in prep.). The accelerating publication of HIFI spectral surveys and line observations of a number of other protostars (e.g. Zernickel et al. 2012; Neill et al. 2012; Caux et al., in prep., see also other papers from the CHESS, HEXOS, and WISH key programs) will soon allow more, and more detailed, comparative analyses to be made, across molecular species as well as protostellar properties. For example, the number of species found in the HIFI spectral survey of OMC-2 FIR 4, 26 excluding isotopologs, is smaller than that found in similar data for the high-mass star forming regions NGC 6334I (46 species, Zernickel et al. 2012) and Sagittarius B2(N) (≥40 species, Neill et al. 2012). This may be related to the substantially lower luminosity of OMC-2 FIR 4 compared to the more massive sources.

5. Conclusions

  • We present a Herschel/HIFI spectral survey of OMC-2 FIR 4 in the range 480 to 1901 GHz, one of the first spectral surveys of a protostar in the terahertz regime.

  • We find 719 lines in the survey, originating from 26 different molecular and atomic species and tracing a large range of excitation conditions, with 24   ≤   Eu   ≤   752 K.

  • The line profiles have contributions from the large-scale envelope of OMC-2 FIR 4, at least one outflow, a newly discovered foreground PDR and other components. The broad outflow emission has a redshifted offset of 1.5 km s-1 from the source velocity. Narrow, blue-shifted self-absorption on broad emission lines of H2O, NH3, and possibly HCO+, may originate in an expanding layer in the inner envelope. Broad, blue-shifted SO lines trace a new component of unclear nature.

  • The cooling budget of OMC-2 FIR 4 between 480 and 1250 GHz is dominated by continuum radiation, with lines contributing 2%. The total flux received in this range is 1.3 × 10-12  Wm-2 or ~7 L at 420 pc.

  • Of all the detected line flux in W×m-2, 60% is from 12CO, 13% from H2O and 9% from CH3OH. Every other species contributes at the ≤2% level.

  • The dominant cooling molecules in OMC-2 FIR 4 and Orion KL are similar, but the relative role of SO and SO2 in the energy budget of OMC-2 FIR 4 is two orders of magnitude smaller than in Orion KL, indicating a substantial difference in the role of shocks or in the thermal evolution.

  • In terms of composition and dominant chemical species, OMC-2 FIR 4 is well in line with results for other protostars from ground-based instruments. It is thus a nearby intermediate-mass star formation laboratory for which an exceptional spectral dataset is now available.

Online material

Appendix A: Detected transitions

In Table A.1, we present a frequency-sorted table of the transitions detected in the survey. In the first six columns, we give the database properties of each transition. Columns 7–10 give the Gaussian fit velocity and width, and their associated formal uncertainties. Columns 11–14 give the peak and integrated intensity, and associated uncertainty. Blending is indicated in column 15, by a B: followed by an identification of the blended line (only one B: line is given also for multiple overlapping blends). Line profile parameters (vlsr, FWHM, Tmb) are not given for the lines which are blended. For some species, such as OH and SH+, the line parameters were determined by fitting models of the hyperfine line profile to the data, these results can be seen in Table 2 and Fig. 3 and plotted with red dashed lines in figures showing examples of the data.

Table A.1

Transitions detected in the HIFI spectral survey of OMC-2 FIR 4.


2

http://www.hexos.org; PI Edwin A. Bergin

6

CASSIS has been developed by IRAP-UPS/CNRS, see http://cassis.irap.omp.eu

Acknowledgments

The authors would like to thank Charlotte Vastel for help with the spectroscopic data; our CHESS, HEXOS and WISH colleagues for useful discussions; and the HIFI Instrument Control Center and Herschel Science Center teams for their efforts. M.K. gratefully acknowledges funding from the Netherlands Organisation for Scientific Research (NWO) Toptalent grant number 021.002.081, the Leids Kerkhoven-Bosscha Fonds and the COST Action on Astrochemistry. A.L.S. and C.C. acknowledge funding by the French Space Agency CNES and from ANR contract ANR-08-BLAN-022. A.F. acknowledges support from the CONSOLIDER INGENIO 2010 program, grant CSD2009-00038. Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA. This work is based on analysis carried out with the CASSIS software, developed by IRAP-UPS/CNRS (http://cassis.irap.omp.eu).

References

  1. Adams, J. D., Herter, T. L., Osorio, M., et al. 2012, ApJ, 749, L24 [NASA ADS] [CrossRef] [Google Scholar]
  2. Alonso-Albi, T., Fuente, A., Crimier, N., et al. 2010, A&A, 518, A52 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Araki, M., Furuya, T., & Saito, S. 2001, J. Mol. Spectr., 210, 132 [Google Scholar]
  4. Aso, Y., Tatematsu, K., Sekimoto, Y., et al. 2000, ApJS, 131, 465 [NASA ADS] [CrossRef] [Google Scholar]
  5. Belov, S. 1995, J. Mol. Spectr., 173, 380 [Google Scholar]
  6. Bergin, E. A., Phillips, T. G., Comito, C., et al. 2010, A&A, 521, L20 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Blake, G. A., Farhoomand, J., & Pickett, H. M. 1986a, J. Mol. Spectr., 115, 226 [NASA ADS] [CrossRef] [Google Scholar]
  8. Blake, G. A., Masson, C. R., Phillips, T. G., & Sutton, E. C. 1986b, ApJS, 60, 357 [NASA ADS] [CrossRef] [Google Scholar]
  9. Bogey, M., Civiš, S., Delcroix, B., et al. 1997, J. Mol. Spectr., 182, 85 [NASA ADS] [CrossRef] [Google Scholar]
  10. Brown, J. M., & Müller, H. S. P. 2009, J. Mol. Spectr., 255, 68 [NASA ADS] [CrossRef] [Google Scholar]
  11. Bruderer, S., Benz, A. O., Stäuber, P., & Doty, S. D. 2010, ApJ, 720, 1432 [NASA ADS] [CrossRef] [Google Scholar]
  12. Brünken, S., Fuchs, U., Lewen, F., et al. 2004, J. Mol. Spectr., 225, 152 [NASA ADS] [CrossRef] [Google Scholar]
  13. Castets, A., & Langer, W. D. 1995, A&A, 294, 835 [NASA ADS] [Google Scholar]
  14. Caux, E., Kahane, C., Castets, A., et al. 2011, A&A, 532, A23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Cazzoli, G., & Puzzarini, C. 2005, J. Mol. Spectr., 233, 280 [NASA ADS] [CrossRef] [Google Scholar]
  16. Cazzoli, G., Puzzarini, C., & Lapinov, A. V. 2004, ApJ, 611, 615 [NASA ADS] [CrossRef] [Google Scholar]
  17. Ceccarelli, C., Bacmann, A., Boogert, A., et al. 2010, A&A, 521, L22 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Cernicharo, J., Barlow, M. J., Gonzalez-Alfonso, E., et al. 1996, A&A, 315, L201 [NASA ADS] [Google Scholar]
  19. Cernicharo, J., Guélin, M., & Kahane, C. 2000, A&AS, 142, 181 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Comito, C., & Schilke, P. 2002, A&A, 395, 357 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Comito, C., Schilke, P., Phillips, T. G., et al. 2005, ApJS, 156, 127 [NASA ADS] [CrossRef] [Google Scholar]
  22. Cooksy, A. L., Blake, G. A., & Saykally, R. J. 1986a, ApJ, 305, L89 [NASA ADS] [CrossRef] [Google Scholar]
  23. Cooksy, A. L., Saykally, R. J., Brown, J. M., & Evenson, K. M. 1986b, ApJ, 309, 828 [NASA ADS] [CrossRef] [Google Scholar]
  24. Crimier, N., Ceccarelli, C., Lefloch, B., & Faure, A. 2009, A&A, 506, 1229 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Crockett, N. R., Bergin, E. A., Wang, S., et al. 2010, A&A, 521, L21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. de Graauw, T., Helmich, F. P., Phillips, T. G., et al. 2010, A&A, 518, L6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Flores-Mijangos, J., Brown, J. M., Matsushima, F., et al. 2004, J. Mol. Spectr., 225, 189 [NASA ADS] [CrossRef] [Google Scholar]
  28. Fusina, L., di Lonardo, G., Johns, J. W. C., & Halonen, L. 1988, J. Mol. Spectr., 127, 240 [NASA ADS] [CrossRef] [Google Scholar]
  29. Godard, B., Falgarone, E., Gerin, M., et al. 2012, A&A, 540, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Goldsmith, P. F. 2001, ApJ, 557, 736 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  31. Goldsmith, P. F., & Langer, W. D. 1999, ApJ, 517, 209 [NASA ADS] [CrossRef] [Google Scholar]
  32. Herrmann, F., Madden, S. C., Nikola, T., et al. 1997, ApJ, 481, 343 [NASA ADS] [CrossRef] [Google Scholar]
  33. Higgins, R. 2011, Ph.D. Thesis, NUI Maynooth [Google Scholar]
  34. Higgins, R. D., Pearson, J. C., Lord, S. D., & Teyssier, D. 2009, in 64th International Symposium On Molecular Spectroscopy [Google Scholar]
  35. Hirota, T., Bushimata, T., Choi, Y. K., et al. 2007, PASJ, 59, 897 [NASA ADS] [CrossRef] [Google Scholar]
  36. Huang, X., Schwenke, D. W., & Lee, T. J. 2011, J. Chem. Phys., 134, 4321 [Google Scholar]
  37. Johansson, L. E. B., Andersson, C., Elder, J., et al. 1985, A&AS, 60, 135 [NASA ADS] [Google Scholar]
  38. Johns, J. W. C. 1985, J. Opt. Soc. Am. B Opt. Phys., 2, 1340 [NASA ADS] [CrossRef] [Google Scholar]
  39. Johnstone, D., Boonman, A. M. S., & van Dishoeck, E. F. 2003, A&A, 412, 157 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Kama, M., Dominik, C., Maret, S., et al. 2010, A&A, 521, L39 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Kim, E., & Yamamoto, S. 2003, J. Mol. Spectr., 219, 296 [NASA ADS] [CrossRef] [Google Scholar]
  42. Klapper, G., Lewen, F., Gendriesch, R., Belov, S. P., & Winnewisser, G. 2001, Z. Naturforschung Teil A, 56, 329 [Google Scholar]
  43. Klapper, G., Surin, L., Lewen, F., et al. 2003, ApJ, 582, 262 [NASA ADS] [CrossRef] [Google Scholar]
  44. Klisch, E., Klaus, T., Belov, S. P., Winnewisser, G., & Herbst, E. 1995, A&A, 304, L5 [NASA ADS] [Google Scholar]
  45. Kristensen, L. E., van Dishoeck, E. F., Bergin, E. A., et al. 2012, A&A, 542, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Lattanzi, V., Walters, A., Drouin, B. J., & Pearson, J. C. 2007, ApJ, 662, 771 [NASA ADS] [CrossRef] [Google Scholar]
  47. López-Sepulcre, A., Kama, M., Ceccarelli, C., et al. 2013a, A&A, 549, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. López-Sepulcre, A., Taquet, V., Sánchez-Monge, Á., et al. 2013b, A&A, in press, DOI: 10.1051/0004-6361/201220905 [Google Scholar]
  49. Manoj, P., Watson, D. M., Neufeld, D. A., et al. 2013, ApJ, 763, 83 [NASA ADS] [CrossRef] [Google Scholar]
  50. McCarthy, M. C., Mohamed, S., Brown, J. M., & Thaddeus, P. 2006, Proc. Nat. Acad. Sci., 103, 12263 [NASA ADS] [CrossRef] [Google Scholar]
  51. Menten, K. M., Reid, M. J., Forbrich, J., & Brunthaler, A. 2007, A&A, 474, 515 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Mezger, P. G., Zylka, R., & Wink, J. E. 1990, A&A, 228, 95 [NASA ADS] [Google Scholar]
  53. Müller, H. S. P. 2010, A&A, 514, L6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Müller, H. S. P., Klein, H., Belov, S. P., et al. 1999, J. Mol. Spectr., 195, 177 [NASA ADS] [CrossRef] [Google Scholar]
  55. Müller, H. S. P., Farhoomand, J., Cohen, E. A., et al. 2000a, J. Mol. Spectr., 201, 1 [Google Scholar]
  56. Müller, H. S. P., Winnewisser, G., Demaison, J., Perrin, A., & Valentin, A. 2000b, J. Mol. Spectr., 200, 143 [NASA ADS] [CrossRef] [Google Scholar]
  57. Müller, H. S. P., Menten, K. M., & Mäder, H. 2004, A&A, 428, 1019 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Müller, H. S. P., Schlöder, F., Stutzki, J., & Winnewisser, G. 2005, J. Mol. Spectr., 742, 215 [Google Scholar]
  59. Mürtz, P., Zink, L. R., Evenson, K. M., & Brown, J. M. 1998, J. Chem. Phys., 109, 9744 [NASA ADS] [CrossRef] [Google Scholar]
  60. Myers, P. C., Mardones, D., Tafalla, M., Williams, J. P., & Wilner, D. J. 1996, ApJ, 465, L133 [NASA ADS] [CrossRef] [Google Scholar]
  61. Neill, J. L., Bergin, E. A., Lis, D. C., et al. 2012, J. Mol. Spectr., 280, 150 [Google Scholar]
  62. Neufeld, D. A., & Wolfire, M. G. 2009, ApJ, 706, 1594 [NASA ADS] [CrossRef] [Google Scholar]
  63. Nolt, I. G., Radostitz, J. V., Dilonardo, G., et al. 1987, J. Mol. Spectr., 125, 274 [NASA ADS] [CrossRef] [Google Scholar]
  64. Nummelin, A., Bergman, P., Hjalmarson, Å., et al. 2000, ApJS, 128, 213 [NASA ADS] [CrossRef] [Google Scholar]
  65. Ott, S. 2010, in Astronomical Data Analysis Software and Systems XIX, eds. Y. Mizumoto, K.-I. Morita, & M. Ohishi, ASP Conf. Ser., 434, 139 [Google Scholar]
  66. Padovani, M., Walmsley, C. M., Tafalla, M., Galli, D., & Müller, H. S. P. 2009, A&A, 505, 1199 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Pagani, L., Daniel, F., & Dubernet, M.-L. 2009, A&A, 494, 719 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Pickett, H. M., Poynter, R. L., Cohen, E. A., et al. 1998, J. Quant. Spec. Radiat. Transf., 60, 883 [Google Scholar]
  69. Pickett, H. M., Pearson, J. C., & Miller, C. E. 2005, J. Mol. Spectr., 233, 174 [NASA ADS] [CrossRef] [Google Scholar]
  70. Pilbratt, G. L., Riedinger, J. R., Passvogel, T., et al. 2010, A&A, 518, L1 [CrossRef] [EDP Sciences] [Google Scholar]
  71. Roelfsema, P. R., Helmich, F. P., Teyssier, D., et al. 2012, A&A, 537, A17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Schilke, P., Groesbeck, T. D., Blake, G. A., & Phillips, T. G. 1997, ApJS, 108, 301 [NASA ADS] [CrossRef] [Google Scholar]
  73. Schilke, P., Comito, C., Thorwirth, S., et al. 2006, A&A, 454, L41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Shimajiri, Y., Takahashi, S., Takakuwa, S., Saito, M., & Kawabe, R. 2008, ApJ, 683, 255 [NASA ADS] [CrossRef] [Google Scholar]
  75. Shimajiri, Y., Kawabe, R., Takakuwa, S., et al. 2011, PASJ, 63, 105 [NASA ADS] [Google Scholar]
  76. Snell, R. L., Howe, J. E., Ashby, M. L. N., et al. 2000, ApJ, 539, L93 [NASA ADS] [CrossRef] [Google Scholar]
  77. Takano, S., Klaus, T., & Winnewisser, G. 1998, J. Mol. Spectr., 192, 309 [Google Scholar]
  78. Thorwirth, S., Müller, H. S. P., Lewen, F., Gendriesch, R., & Winnewisser, G. 2000, A&A, 363, L37 [NASA ADS] [Google Scholar]
  79. Thorwirth, S., Müller, H. S. P., Lewen, F., et al. 2003, ApJ, 585, L163 [NASA ADS] [CrossRef] [Google Scholar]
  80. van der Wiel, M. H. D., Pagani, L., van der Tak, F. F. S., Kaźmierczak, M., & Ceccarelli, C. 2013, A&A, 553, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Viti, S., Jimenez-Serra, I., Yates, J. A., et al. 2011, ApJ, 740, L3 [NASA ADS] [CrossRef] [Google Scholar]
  82. Wakelam, V., Caselli, P., Ceccarelli, C., Herbst, E., & Castets, A. 2004, A&A, 422, 159 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  83. Wakelam, V., Ceccarelli, C., Castets, A., et al. 2005, A&A, 437, 149 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  84. Wampfler, S. F., Herczeg, G. J., Bruderer, S., et al. 2010, A&A, 521, L36 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  85. Winnewisser, G., Belov, S. P., Klaus, T., & Schieder, R. 1997, J. Mol. Spectr., 184, 468 [NASA ADS] [CrossRef] [Google Scholar]
  86. Yu, S., Pearson, J. C., Drouin, B. J., et al. 2010, J. Chem. Phys., 133, 174317 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  87. Zernickel, A., Schilke, P., Schmiedeke, A., et al. 2012, A&A, 546, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]

All Tables

Table 1

Summary of the full-band HIFI observations and of fluxes at selected standard wavelengths.

Table 2

Summary of the detected species.

Table 3

Results of rotational diagram analyses for isotopologs of CO in two upper level energy ranges, Eu < 200 K and Eu > 200 K.

Table A.1

Transitions detected in the HIFI spectral survey of OMC-2 FIR 4.

All Figures

thumbnail Fig. 1

Upper panel: full baseline-subtracted spectral survey (black line) at 1.1 MHz resolution. The set of bright lines towering above the rest is CO, the feature at 1901 GHz is CII. Second panel: full baseline-subtracted spectral survey (black line) on a blown-up y-scale to emphasize weak lines and a second-order polynomial fit (red) to the subtracted continuum in bands 1a through 5a (red). Third panel: Tmb scale integrated intensity of each detected transition. Lower panel: the local rms noise around each detected transition.

In the text
thumbnail Fig. 2

Fractional difference of the double-sideband CO line fluxes from their mean for each rotational line. The H polarization is shown in blue (x) and V in red (+). The inset shows the peak line intensity of the CO (5–4) transition, highlighted in the main plot with a box, versus intermediate frequency (IF) position. Negative IF frequency denotes lower side band (LSB).

In the text
thumbnail Fig. 3

Mean velocities and linewidths from Gaussian fits to lines of representative species. Several groups emerge, these are labeled in gray and referred to in the text. The orange bars give the range of fit parameters of the full set of lines of each species. The black bars, at top left, show the conservative Gaussian parameter fit uncertainties (see also Sect. 3.2). Where the orange bars are one-sided, showing the conservative fit errors, only a single line was detected or simultaneous fitting of multiple lines forced the species to appear at a single vlsr. For a discussion, see Sect. 4.1.

In the text
thumbnail Fig. 4

Main components of the line profiles. The solid vertical line shows the source velocity, 11.4 km s-1. The two velocity regimes of quiescent gas are illustrated by C18O and CH3OH. The deep, narrow absorption feature in CO is due to emission in the reference beams, while the absorption in H2O appears to be source-related. The broad blue component is represented by SO. The HF line traces foreground material in the foreground slab, at 9 km s-1, with another contribution from the quiescent gas.

In the text
thumbnail Fig. 5

Normalized profiles of the CO lines detected in the survey, displayed with a vertical offset of unity between each profile. The solid vertical line marks the source velocity of 11.4 km s-1. The wings are increasingly important toward high rotational levels. Up to Ju   =   11, the quiescent gas is masked by contamination in the reference beams, which causes absorption-like dips in the profiles.

In the text
thumbnail Fig. 6

Normalized profiles of the H2O lines detected in the survey, displayed with a vertical offset of 1 between each profile. The solid vertical line marks the source velocity of 11.4 km s-1. The narrow dips are dominated by self-absorption.

In the text
thumbnail Fig. 7

Normalized line profiles of carbon-bearing species, illustrating their different kinematics. The solid vertical line marks the source velocity of 11.4 km s-1. The short vertical dashed lines show the CH hyperfine components except the one the vlsr is centered on. No CASSIS model was made for CH, see text. The CII absorption at 11...15 km s-1 is an artefact due to contamination in the reference spectra. The dip in CI at ~10 km s-1 as also due to reference beam contamination.

In the text
thumbnail Fig. 8

Normalized line profiles of some oxygen-bearing species, in particular relating to H2O chemistry. The solid vertical line marks the source velocity of 11.4 km s-1. The OH, OH+ and H2O+ spectra have been gaussian-smoothed to 4 MHz for clarity.

In the text
thumbnail Fig. 9

Normalized line profiles of some CH3OH and H2CO lines, representing, from bottom to top, upper level energies Eu ≈ 100 K, 200 K and 400 K for both species. The solid vertical line marks the source velocity of 11.4 km s-1.

In the text
thumbnail Fig. 10

Selection of normalized line profiles of HCO+ and N2H+, illustrating trends in the line kinematics. The solid vertical line marks the source velocity of 11.4 km s-1.

In the text
thumbnail Fig. 11

Examples of normalized line profiles of nitrogen-bearing species. The solid vertical line marks the source velocity of 11.4 km s-1. The top line profile is centered on HCN and the dashed vertical lines mark the locations of the strongest NH hyperfine components.

In the text
thumbnail Fig. 12

Examples of normalized line profiles of sulphur-bearing species. The solid vertical line marks the source velocity of 11.4 km s-1. The CASSIS model for SH+, showing two hyperfine components, is given by the dashed red line.

In the text
thumbnail Fig. 13

Normalized line profiles of the main detected HCl and H2Cl+ transitions. The solid vertical line marks the source velocity of 11.4 km s-1. The CASSIS models for each species, used to obtain the vlsr and width of the lines, are shown with red dashed lines.

In the text
thumbnail Fig. 14

Selection of lines of deuterated species. A water line has been added for comparison with HDO. The solid vertical line marks the source velocity of 11.4 km s-1. The CASSIS model for ND is marked with a dashed red line.

In the text
thumbnail Fig. 15

Fractional contribution of various species to the line emission from OMC-2 FIR 4. The 11 dominant cooling species, integrated across the entire 480 to 1902 GHz HIFI survey, are displayed. Note that the units are in percent of the total line flux in the HIFI survey, excluding continuum emission.

In the text
thumbnail Fig. 16

Line cooling in the 795–903 GHz range in two sources in Orion. The symbols mark the percentage of line emission in each dominant cooling species in OMC-2 FIR 4 (crosses, this work) and in Orion KL (circles, Comito et al. 2005). The upper limits are 5σ. Note that the units are in percent of all line flux within the 795 to 903 GHz range, excluding continuum emission.

In the text

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.