Issue |
A&A
Volume 548, December 2012
|
|
---|---|---|
Article Number | L6 | |
Number of page(s) | 6 | |
Section | Letters | |
DOI | https://doi.org/10.1051/0004-6361/201220504 | |
Published online | 27 November 2012 |
Resolving the Vela C ridge with P-ArTéMiS and Herschel⋆,⋆⋆,⋆⋆⋆
1
Laboratoire AIM, CEA/IRFU CNRS/INSU Université Paris Diderot,
CEA-Saclay,
91191
Gif-sur-Yvette Cedex,
France
e-mail: tracey.hill@cea.fr
2
Institut d’Astrophysique Spatiale, CNRS/Université Paris-Sud 11,
91405
Orsay,
France
3
Canadian Institute for Theoretical Astrophysics – CITA, University
of Toronto, 60 St. George
Street, Toronto,
Ontario, M5S 3H8, Canada
4
Université de Bordeaux, Bordeaux, LAB, UMR 5804,
33270
Floirac,
France
5
CNRS, LAB, UMR 5804, 33270
Floirac,
France
6
IAPS – Instituto di Astrofisica e Planetologia Spaziali,
via Fosso del Cavaliere
100, 00133
Roma,
Italy
7
European Southern Observatory, Karl Schwarzschild Str. 2, 85748
Garching bei Munchen,
Germany
Received:
5
October
2012
Accepted:
30
October
2012
We present APEX/P-ArTéMiS 450 μm continuum observations of RCW 36 and the adjacent ridge, a high-mass high-column density filamentary structure at the centre of the Vela C molecular cloud. These observations, at higher resolution than Herschel/SPIRE camera, reveal clear fragmentation of the central star-forming ridge. Combined with PACS far-infrared and SPIRE sub-millimetre observations from the Herschel HOBYS project we build a high resolution column density map of the region mapped with P-ArTéMiS. We extract the radial density profile of the Vela C ridge which with a ~0.1 pc central width is consistent with that measured for low-mass star-forming filaments in the Herschel Gould Belt survey. Direct comparison with Serpens South, of the Gould Belt Aquila complex, reveals many similarities between the two regions. Despite likely different formation mechanisms and histories, the Vela C ridge and Serpens South filament share common characteristics, including their filament central widths.
Key words: ISM: individual objects: Vela C / ISM: individual objects: RCW 36 / submillimeter: stars / dust, extinction / stars: early-type / stars: protostars
This publication is based on data acquired with the Atacama Pathfinder Experiment (APEX) in ESO program 083.C-0996. APEX is a collaboration between the Max-Planck-Institut für Radioastronomie, the European Southern Observatory, and the Onsala Space Observatory.
Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA.
Figures 4, 5, and Appendix A are available in electronic form at http://www.aanda.org
© ESO, 2012
1. Introduction
Independent of mass, the formation of a star is a key astrophysical process: while high-mass stars drive galactic formation and ecology, low-mass stars populate their host galaxy and are themselves likely hosts of planetary systems. Although the formation paradigm for low-mass stars has been relatively well established the formation scenario for high mass stars is less clear, as are the processes involved in their formation (McKee & Ostriker 2007; Zinnecker & Yorke 2007).
The Herschel Space Observatory (Pilbratt et al. 2010) is providing important observational insights into both low- and high-mass star formation in our Galaxy. In particular, two Herschel key projects focus on low- and high-mass star formation in relatively nearby star-forming complexes: the Gould Belt survey (HGBS, 130–500 pc; André et al. 2010) and HOBYS (700 pc–3 kpc; Motte et al. 2010), respectively. Combining these two key projects will help to examine the difference between low- and high-mass star formation.
Herschel observations in the far-infrared and submillimetre, the crucial regime for studying the birthplaces of stars, have revealed most star-forming complexes in our Galaxy to be comprised of filamentary structures (André et al. 2010; Molinari et al. 2010). Star formation proceeds in the densest (“supercritical”) of these filaments, which can be clustered into disorganised networks (nests) or into single dominating ridges (Hill et al. 2011). Arzoumanian et al. (2011) found that in low-mass star-forming regions these interstellar filaments could be characterised by a standard central width, or thickness, of ~0.1 pc.
The Vela C molecular cloud was recently observed with Herschel as part of the HOBYS project (Hill et al. 2011; Giannini et al. 2012; Minier et al. 2012). Vela C is known to house low-, intermediate- and high-mass star formation (Massi et al. 2003; Netterfield et al. 2009; Hill et al. 2011) and is thought to be at an early stage in its evolution (<106 yr). Running through the centre of Vela C is a ridge, a high-column density (~100 mag1) self-gravitating filament, which houses the majority of the high-mass dense cores in the cloud (Hill et al. 2011). Adjacent to this ridge, and at roughly the centre of the Vela C molecular cloud is the RCW 36 ionising star cluster. Minier et al. (2012) showed that the ridge results from the ionisation of an initial sheet of molecular gas. Located at 700 pc, Vela C is the closest complex in the HOBYS sample, which allows direct comparison with low-mass star-forming regions, such as those targeted by the HGBS project, at comparable spatial resolution.
Here we present a study of the Vela C ridge and RCW 36 using the P-ArTéMiS camera2 at 450 μm on APEX. P-ArTéMiS is used here to complement the Herschel/SPIRE bands in the submillimetre (250, 350, 500 μm), at a factor 2–3 higher resolution (e.g. 11.5′′ compared with 25′′ at 350 μm).
2. Observations and data reduction
The RCW 36 region of Vela C was observed using the P-ArTéMiS bolometer camera (André et al. 2008; Minier et al. 2009) on the Atacama Pathfinder Telescope (APEX) telescope on 23 May 2009. An area of ~4′ by 4′ was mapped in ~0.5 h, using a total-power, on-the-fly scanning mode. The atmospheric opacity at zenith was measured with a skydip and found to be ~0.8 at λ = 450 μm, which corresponds to a precipitable water vapour ~0.7 mm. The pointing and focus of the telescope were checked using similar observing procedures to those used with APEX/LABOCA (e.g. spiral scans). Flux calibration was achieved by taking spiral scans of Mars and Saturn. The pointing accuracy and absolute calibration uncertainty were estimated to be ~2′′ and ~30%, respectively. The main beam had a full width at half maximum (FWHM) ~ 10′′, known to ~10% accuracy, and contained ~60% of the power, the rest being distributed in an “error beam” extending up to an angular radius of ~80′′. The data were reduced using in-house IDL routines, following the same method as André et al. (2008) and Minier et al. (2009). This procedure includes baseline subtraction, removal of correlated sky noise and 1/f noise, and subtraction of uncorrelated 1/f noise using a method which exploits the high level of redundancy in the data. The final 450 μm continuum map is presented in Fig. 1.
![]() |
Fig. 1 P-ArTéMiS 450 μm map of the RCW 36/Vela C ridge at 10′′ resolution. The contours are 3, 7, 11 Jy/10′′-beam and the rms noise level in the central part of the map is ~1 Jy/10′′-beam. |
The entire Vela C molecular cloud (~3 deg2), including the RCW 36 region, was mapped with Herschel at 70, 160, 250, 350 and 500 μm as part of the HOBYS key program. The observations and data reduction are as described by Hill et al. (2011).
3. Structural analysis
![]() |
Fig. 2 The Vela C ridge/RCW 36 column density maps. The units are in H2 cm-2. Left: map derived from the longest four Herschel wavebands with a resolution of 36′′, equivalent to that of the SPIRE 500 μm band. Right: map constructed using P-ArTéMiS and Herschel data, with resolution 11.5′′. Appendix A details how this map was created. The filament from which the radial density profile (Fig. 3) was determined (see Sect. 3.2) is as indicated by the black line, measured on the right map but, overlaid on the left figure for clarity. |
3.1. Column density and dust temperature maps
Multiple wave-band observations covering the far-infrared and sub-millimetre regime allow construction of column density (NH2) and dust temperature maps. The maps of these quantities for the Vela C ridge/RCW 36 region, derived from Herschel data, were drawn using pixel-by-pixel spectral energy distribution (SED) fitting according to a modified blackbody with a single dust temperature (cf. Hill et al. 2012). Only the longest four Herschel wavebands were used. In order to do this, the Herschel observations were first convolved to the resolution of the 500 μm band (36′′), and the zero offsets derived from Planck data were applied (see Hill et al. 2011). The quality of the SED fit was assessed using χ2 minimisation. The corresponding column density map of the Vela C ridge and RCW 36 is given in Fig. 2 (left).
As our P-ArTéMiS data, at 10′′ resolution have better resolution than that of all of the Herschel/SPIRE bands, we devised a method to derive a higher resolution column density map of the Vela C ridge and RCW 36 region mapped by P-ArTéMiS. By combining the PACS 160 μm, SPIRE 250 μm and P-ArTéMiS 450 μm data we were able to derive a column density map at 11.5′′ resolution, i.e. the resolution of the 160 μm Herschel map. This method is similar to the one used by Palmeirim et al. (2012, submitted) for their higher resolution Herschel column density map of the Taurus B211 region, but adapted for P-ArTéMiS data as outlined in Appendix A. Due to the area covered by our P-ArTéMiS observations, only ~1/3 of the full Vela C ridge detected by Herschel is measured in the higher resolution column density map, which shows clear fragmentation into a number of cores/clumps. These cores are clearly visible with P-ArTéMiS (see Fig. 1) but could not be previously identified from the lower resolution Herschel column density map (Fig. 2, left).
3.2. Filamentary structure
At the 36′′ resolution of the Herschel column density map, the RCW 36 region is characterised by a single dominating high-column density filament containing the Vela C ridge (see Fig. 2). The filamentary structure seen in our higher resolution column density map is consistent with that seen in the lower resolution map, with slight deviations as it traces the topological structure of the fragmented cores (see Fig. 2, right). The mean column density of the Vela C ridge, as measured from the higher resolution column density map, is ~9 × 1022 cm-2.
The mean radial density profile (ρp) of the
Vela C ridge (Fig. 3) was derived by measuring cuts
perpendicular to the crest of the filament at each pixel, and then averaging along the
length of the filament (as detailed in Arzoumanian et al.
2011). In order to derive the characteristic parameters of the profile (e.g.
central density, power law exponent), we assume a cylindrical filament model given by a
Plummer-like function, which is a density profile that can be expressed in terms of column
density. Accordingly, (1)where
ρc is the radial density at the centre of the filament,
p is the exponent of the model function, and
Rflat is the characteristic radius for the flat inner
portion of the profile.
![]() |
Fig. 3 The mean radial density profile (western component) perpendicular to the Vela C ridge (black line in Fig. 2, left), shown here in log-log format. The complementary eastern profile (in the direction of the star cluster) is given in Fig. 4. The area in yellow shows the dispersion of the radial profile along the filament. The solid blue line corresponds to the effective 11.5′′ HPBW resolution of the column density map (0.04 pc at 700 pc) used to construct the profile. The dotted blue line indicates the Gaussian profile, while the dotted red line shows the best fit to the model, often called the Plummer profile. |
The Vela C ridge can be characterised by an inner radius Rflat ~ 0.05 ± 0.02 pc, and a deconvolved FWHM of 0.12 ± 0.02 pc which is consistent with that seen in low-mass star-forming filaments (Arzoumanian et al. 2011). The Vela C radial density profile decreases at large radii as r−(2.7 ± 0.2). The filament outer radius ~0.4 ± 0.1 pc is defined from the deviation of the observed (western side) profile from the Plummer fit (cf. Fig. 3). The eastern side of the profile, containing the OB star cluster, decreases up to a larger radius ~1–1.5 pc (see Fig. 4).
The radial profiles of the column density can also be used to derive a mass per unit
length (Mline = ) value for a filament, by
integrating the column density over the radius (cf. Arzoumanian et al. 2011). The Vela C ridge is well defined and constrained
allowing us to estimate, without confusion, its mass per unit length as
Mline ~ 320(± 75) or
400(± 85) M⊙/pc as measured from the integrated radial
profile of 0.4 and 1.5 pc, respectively, after subtracting a background of
3.6 × 1021 cm-2.
4. Comparison with the Serpens South filament
Recent Herschel observations have revealed the prolificity of interstellar filaments in star-forming complexes, though only those filaments above an AV of ~8 mag are supercritical and capable of forming stars (André et al. 2010, 2011). Arzoumanian et al. (2011) showed that the filaments in low-mass HGBS regions tend to have inner widths of ~0.1 pc. With higher resolution P-ArTéMiS data at hand it is possible to check the application of such a characteristic filament width to more distant, higher mass regions, such as the Vela C complex at d ~ 700 pc. Here we have shown that, based on its radial column density profile, the Vela C ridge has a filament inner width consistent with the characteristic inner width suggested by Arzoumanian et al. (2011).
We have extended our study of filamentary structures to the Serpens South filament, part of the Aquila star-forming complex at d ~ 260 pc (see Fig. 5). The Serpens South filament is particularly interesting as it, as one of the most extreme column density filaments of the HGBS, is comprised of high-column density material, similarly to Vela C. Bontemps et al. (2010) detected seven Class 0 protostars, confirming that Serpens South is undergoing low- to intermediate-mass star formation, while Maury et al. (2011) used evolutionary tracks to estimate the lifetime of these Class-0 protostars and showed that Serpens South is at a very early phase of forming stars.
The column density map of Serpens South has been derived in the same manner as that of Vela C (see Sect. 3.1 and Könyves et al. 2010), with only the longest four Herschel bands. The 36′′ resolution of this map, at the distance of Serpens South, corresponds to a spatial resolution of 0.05 pc on the sky, comparable to that of Vela C when using our higher-resolution column density maps with P-ArTéMiS data (0.04 pc at 700 pc). These two regions – Serpens South, forming low- to intermediate-mass stars, and Vela C forming intermediate and potentially high-mass stars – provide a good comparative opportunity.
The crest shown in Fig. 5 (left) for the Serpens South filament is ~1.2 pc in length and has an average column density value of 6.4 × 1022 cm-2 (after subtracting a background of 3.7 × 1021 cm-2). The crest shown in Fig. 2 for the Vela C ridge is ~0.8 pc in length and is slightly more dense at 8.6 × 1022 cm-2. The Vela C ridge and Serpens South filament have a similar mass per unit length (Mline = 320 and 290 M⊙/pc, respectively) and a similar outer radius (~0.4 pc; though the outer radius for both regions may be as large as ~1–1.5 pc, see Figs. 4 and 5). The radial density profile of the Serpens South filament (Fig. 5) has a (deconvolved) Gaussian FWHM width of 0.10 ± 0.05 pc, in agreement with that found here for Vela C and the characteristic width of other nearby interstellar filaments measured by Arzoumanian et al. (2011) using HGBS data. The inner width values measured for the Vela C ridge and Serpens South filament remain almost unchanged after removing the cores within them: the deconvolved FWHM values become 0.11 ± 0.01 pc and 0.14 ± 0.01 pc, respectively. As such, the common inner width of ~0.1 pc found in both cases may not be attributed to core properties.
The total length and mass of the Serpens South filament are of the order 2 pc and 500 M⊙, respectively, while the total length and mass of the Vela C ridge are ~4 pc and ~600 M⊙. It should also be noted that Vela C is more distant than Serpens South, and thus core surveys in Vela C are intrinsically biased toward more massive objects than those accessible in Serpens South.
5. Universality of star-forming filament profiles?
Star formation requires a reservoir of material, concentrated into a small volume, from which the burgeoning young star can accumulate mass. The idea of a minimum mass, or density requirement, for star formation inside molecular clouds is then not surprising. Evans (2008) suggested that star formation is restricted to dense gas within molecular clouds, which also has a higher star formation efficiency than lower density gas. Comparing Spitzer inventories of young stellar objects with dust extinction (AV) maps of nearby molecular clouds, both Lada et al. (2010) and Heiderman et al. (2010) suggested that star formation requires a minimum gas density (corresponding to AV ≈ 8 mag). Essentially the same column density threshold was recently found by André et al. (2010, 2011) from an analysis of the prestellar core population in the Aquila complex based on Herschel data (see also Sect. 1).
In addition to a minimum mass/density for core and star formation, a minimum threshold for high-mass star formation has also been suggested both theoretically (Krumholz & McKee 2008) and observationally (Kauffmann & Pillai 2010). According to these authors, low- and high-mass stars likely do not form in the same environments, with the latter requiring a minimum density, and the two modes of star formation (low- and high-mass) are distinct from each other.
In this Letter we have compared two nearby (<700 pc) regions undergoing clustered star formation. The Vela C molecular cloud is known as a low- to intermediate-mass star-forming molecular cloud. The Vela C ridge however is associated with a high-mass ionising star cluster (Minier et al. 2012), and hosts seven high-mass dense cores (Hill et al. 2011) each with the potential to form high-mass stars. Ridges are the extreme density filaments of high-mass star-forming regions whose large areas of influence suggest that they may have been formed through dynamic scenarios such as converging flows, filament mergers and/or ionisation pressure from nearby star clusters (Hill et al. 2011; Nguyen Luong et al. 2011; Hennemann et al. 2012; Minier et al. 2012). Comparatively, the Serpens South filament is populated by low- to intermediate-mass protostars (Gutermuth et al. 2008; Maury et al. 2011). Both of these filamentary star-forming clumps have supercritical masses per unit length and are thus likely to form more stars in the future.
Our analysis of the filamentary structure in the Vela C ridge and the Serpens South filament indicates that the two are quite similar with respect to their column density profile and mass per unit length, yet the Vela C ridge is a factor of ~2 longer and is slightly more massive than the Serpens South filament (see Sect. 4). The lack of known Class-0 protostars in Vela C may arise from sensitivity limitations, but the same can not be said for the lack of high-mass dense cores in Serpens South.
While the Vela C ridge and Serpens South filament are likely to have formed in different environments, under different conditions, and to have experienced different histories (with, e.g., the strong ionizing effect of a massive star cluster in the case of Vela C, and no such effect in Serpens South), these two regions display a similar filament inner width ~0.1 pc which is also consistent with the characteristic inner width found for low-mass star-forming filaments by Arzoumanian et al. (2011). This
suggests that supercritical filaments and ridges, regardless of their formation process, have the same inner width which may be characteristic across modes of star formation. These results advocate a high degree of commonality among star-forming filaments, independently of the masses of the stars they form, rather than the aforementioned idea of distinct environmental conditions for higher mass stars.
More work would be needed to establish the universality of star-forming filament profiles in the high-mass regime. Recently, Hennemann et al. (2012) used HOBYS data to show that the high-mass DR 21 ridge in the Cygnus X complex (d ~ 1.4 kpc) has an apparent mean central width of ~0.3 pc when observed at a resolution 0.17 pc. The flat inner portion of the DR 21 ridge was however only marginally resolved with Herschel observations. It should be stressed that higher mass star-forming ridges and filaments occur at greater distances than lower mass ones, and observations of these are thus subject to lower spatial resolution. At distances exceeding that of Vela C (> 700 pc) a characteristic inner width of ~0.1 pc would remain unresolved, or at best marginally resolved with Herschel. Higher resolution observations of high-mass star-forming filaments and ridges, with for example the full ArTéMiS camera to be installed soon on APEX or the Atacama Large Millimetre Array (ALMA), over a greater number of regions are needed now to address the hypothesis of a characteristic inner width for interstellar filaments independently of the masses of the stars they form.
Appendix A: Deriving a high-resolution column density map with P-ArTéMiS and Herschel data
The P-ArTéMiS 450 μm map (Fig. 1) provides information on small-scales in the RCW 36 ridge but is not sensitive to large-scale structures because any emission at low spatial frequencies has been completely filtered out during the process of atmospheric skynoise removal. Conversely, the Herschel column density map produced by Hill et al. (2011) at 36′′ resolution contains little information on scales <36′′ but provides an accurate view of larger-scale features. In order to combine thesetwo complementary data sets, we used the following procedure (inspired from Palmeirim et al. 2012, submitted).
Following the spirit of a multi-resolution data decomposition (cf. Starck & Murtagh 2006), the gas surface
density distribution of the RCW 36 region, smoothed to the resolution of the
Herschel/PACS 160 μm observations, may be expressed
as a sum of four terms: (A.1)where
Σ500, Σ350, Σ250, and Σ160 represent
smoothed versions of the intrinsic gas surface density distribution Σ after convolution
with the Herschel beam at 500 μm,
350 μm, 250 μm, and 160 μm
respectively, i.e.: Σ500 = Σ ∗ B500,
Σ350 = Σ ∗ B350,
Σ250 = Σ ∗ B250, and
Σ160 = Σ ∗ B160.
The first term of Eq. (A.1) is simply the surface density distribution smoothed to the
resolution of the Herschel/SPIRE 500 μm data. An
estimate, ,
of this term can be obtained in a manner similar to Hill
et al. (2011) through pixel-by-pixel SED fitting to the longest four
Herschel data points, assuming the following dust opacity law, very
similar to that advocated by Hildebrand (1983) at
submillimetre wavelengths:
κν = 0.1 × (ν/1000 GHz)β = 0.1 × (300 μm/λ)β cm2/g,
with β = 2.
![]() |
Fig. A.1 Ratio map of the 11.5′′ resolution column density map (corresponding
to |
The second term of Eq. (A.1) may be written as ,
where
is a circular Gaussian with FWHM
. (To
first order, the SPIRE beam at 500 μm is a smoothed version of the
SPIRE beam at 350 μm, i.e.,
).
The second term of Eq. (A.1) may thus be viewed as a term adding information on spatial
scales accessible to SPIRE observations at 350 μm, but not at
500 μm. In practice, one can derive and estimate
of Σ350 in a manner similar to
,
through pixel-by-pixel SED fitting to three Herschel data points
between 160 μm and 350 μm (i.e., ignoring the lower
resolution 500 μm data point). An estimate of the second term of
Eq. (A.1) can then be obtained by subtracting a smoothed version of
(i.e.,
)
to
itself, i.e., by removing low spatial frequency information from
.
Likewise, the third term of Eq. (A.1) may be written as
,
where
is a circular Gaussian with
, and
may be understood as a term adding information on spatial scales only accessible to
Herschel observations at wavelengths ≤250 μm. In
order to derive an estimate
of Σ250 on the right-hand side of Eq. (A.1), we first smoothed the PACS
160 μm map to the 18.2′′ resolution of the SPIRE
250 μm map and then derive a color temperature map between
160 μm and 250 μm from the observed
I250 μm(x,y)/I160 μm(x,y)
intensity ratio at each pixel (x,y). The SPIRE 250 μm
map was converted to a gas surface density map (
),
assuming optically thin dust emission at the temperature given by the color temperature
map and a dust opacity at 250 μm
κ250 μm = 0.1 × (300/250)2 cm2/g.
An estimate of the third term of Eq. (A.1) can then be obtained by subtracting a
smoothed version of
(i.e.,
) to
itself, i.e., by removing low spatial frequency information from
.
The fourth term on the right-hand side of Eq. (A.1) is the component containing
information on the smallest scales ~10–18′′ and which was estimated using
the P-ArTéMiS data. It may be written as ,
where
is a circular Gaussian with FWHM
. In
order to derive an estimate
of Σ160 on the right-hand side of Eq. (A.1), we used the color temperature
map between 160 μm and 250 μm (18′′
resolution) to convert a slightly smoothed version of the P-ArTéMiS
450 μm data (11.5′′ resolution) and the PACS
160 μm data to a column density map at 11.5′′ resolution,
assuming optically thin dust emission and the same dust opacity law as above. Due to
skynoise filtering, the latter map (
)
does not contain information on angular scales ≳40″, but this is not a problem since
our estimate of the fourth term of Eq. (A.1) was obtained by subtracting a smoothed
version of
(i.e.,
) to
itself, i.e., by removing any information on scales ≳18″ from
.
This subtraction of scales larger than ~18″ from
also suppresses the effect of the bowls of negative emission seen at ± 30″ on either
side of the central ridge in the P-ArTéMiS 450 μm map (Fig. 1).
Our final estimate
of the gas surface density distribution at 11.5′′ resolution was produced by
summing the above estimates of the four terms on the right-hand side of Eq. (A.1):
(A.2)The
resulting 11.5′′ resolution column density map
for the RCW36 region is displayed in the right panel of Fig. 2 in units of mean
molecules per cm2, where
and μ = 2.33 is the mean molecular weight. This high-resolution column
density map is subject to larger uncertainties than the standard
36.3′′-resolution column density map derived from Herschel
data. In particular, the absolute calibration uncertainty of the ground-based
P-ArTéMiS 450 μm data is larger (~30%) than that of the
Herschel data (≲10%), and the beam shape of the P-ArTéMiS
instrument is also more uncertain3 than the beams
of the SPIRE and PACS cameras on Herschel. To test the reliability and
robustness of this 11.5′′ resolution column density map, we smoothed it to
the 36.3′′ resolution of the standard column density map (corresponding to
)
and inspected the ratio map between the two, which has a mean value of 1.00 and a
standard deviation of 0.03 (see Fig. A.1). The two
column density maps agree to better than 35% everywhere. The morphology and amplitude of
the features seen in the ratio map (Fig. A.1)
suggest that the potential artefacts present in the high-resolution column density map
translate into an uncertainty of ≲40% in the radial column density profiles shown in
Figs. 3 and 4 (left). This uncertainty is comparable to the yellow error bars shown on the
profiles (corresponding to the dispersion of the radial profiles observed along the
ridge) and therefore does not significantly affect our conclusions regarding the shape
and central width of the radial density profile.
Finally, we note that our column density map of the Vela C ridge is also more uncertain than that of the Serpens South filament owing to the strong heating effect of the RCW36 cluster and its uncertain location along the line of sight. Simple tests suggest that this effect leads to an additional 50% uncertainty in the absolute calibration of the column density map of the Vela C ridge but has little influence on the shape of the radial column density profile.
Where NH2 = 0.94 AV × 1021 cm-2 mag-1 (Bohlin et al. 1978).
P-ArTéMiS is a prototype for the larger format ArTéMiS camera soon to be installed on APEX (Talvard et al. 2010).
Acknowledgments
T.H. is supported by a CEA/Marie-Curie Eurotalents Fellowship. Part of this work was supported by the ANR (Agence Nationale pour la Recherche) project “PROBeS”, number ANR-08-BLAN-0241.
References
- André, P., Men’shchikov, A.,Bontemps, S., et al. 2010, A&A, 518, L102 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- André, P., Men’shchikov, A., Könyves, V., & Arzoumanian, D. 2011, in IAU Symp. 270, eds. J. Alves, et al., 255 [Google Scholar]
- André, P., Minier, V., Gallais, P., et al. 2008, A&A, 490, L27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Arzoumanian, D., André, P., Didelon, P., et al. 2011, A&A, 529, L6 [Google Scholar]
- Bohlin, R. C., Savage, B. D., & Drake, J. F. 1978, ApJ, 224, 132 [NASA ADS] [CrossRef] [Google Scholar]
- Bontemps, S., André, P., Könyves, V., et al. 2010, A&A, 518, L85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Evans, II, N. J. 2008, in Pathways Through an Eclectic Universe, eds. J. H. Knapen, T. J. Mahoney, & A. Vazdekis, ASP Conf. Ser., 390, 52 [Google Scholar]
- Giannini, T., Elia, D., Lorenzetti, D., et al. 2012, A&A, 539, A156 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gutermuth, R. A., Bourke, T. L., Allen, L. E., et al. 2008, ApJ, 673, L151 [NASA ADS] [CrossRef] [Google Scholar]
- Heiderman, A., Evans, II, N. J., Allen, L. E., et al. 2010, ApJ, 723, 1019 [NASA ADS] [CrossRef] [Google Scholar]
- Hennemann, M., Motte, F., Schneider, N., et al. 2012, A&A, 543, L3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hildebrand, R. H. 1983, QJRAS, 24, 267 [NASA ADS] [Google Scholar]
- Hill, T., Motte, F., Didelon, P., et al. 2011, A&A, 533, 94 [Google Scholar]
- Hill, T., Motte, F., Didelon, P., et al. 2012, A&A, 542, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kauffmann, J., & Pillai, T. 2010, ApJ, 723, L7 [NASA ADS] [CrossRef] [Google Scholar]
- Könyves, V., André, P., Men’shchikov, A., et al. 2010, A&A, 518, L106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Krumholz, M. R., & McKee, C. F. 2008, Nature, 451, 1082 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Lada, C. J., Lombardi, M., & Alves, J. F. 2010, ApJ, 724, 687 [NASA ADS] [CrossRef] [Google Scholar]
- Massi, F., Lorenzetti, D., & Giannini, T. 2003, A&A, 399, 147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Maury, A. J., André, P., Men’shchikov, A., et al. 2011, A&A, 535, A77 [Google Scholar]
- McKee, C. F., & Ostriker, E. C. 2007, ARA&A, 45, 565 [NASA ADS] [CrossRef] [Google Scholar]
- Minier, V., André, P., Bergman, P., et al. 2009, A&A, 501, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Minier, V., Tremblin, P., Hill, T., et al. 2012, A&A, submitted [Google Scholar]
- Molinari, S., Swinyard, B., Bally, J., et al. 2010, A&A, 518, L100 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Motte, F., Zavagno, A., Bontemps, S., et al. 2010, A&A, 518, L77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Netterfield, C. B., Ade, P. A. R., Bock, J. J., et al. 2009, ApJ, 707, 1824 [NASA ADS] [CrossRef] [Google Scholar]
- Nguyen Luong, Q., Motte, F., Hennemann, M., et al. 2011, A&A, 535, A76 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Palmeirim, P., André, P., & Gould Belt consortium 2012, A&A, submitted [Google Scholar]
- Pilbratt, G. L., Riedinger, J. R., Passvogel, T., et al. 2010, A&A, 518, L1 [CrossRef] [EDP Sciences] [Google Scholar]
- Starck, J.-L., & Murtagh, F. 2006, Astronomical Image and Data Analysis (Springer-Verlag) [Google Scholar]
- Talvard, M., André, P., Le-Pennec, Y., et al. 2010, in SPIE Conf. Ser., 7741 [Google Scholar]
- Zinnecker, H., & Yorke, H. W. 2007, ARA&A, 45, 481 [NASA ADS] [CrossRef] [Google Scholar]
Online material
![]() |
Fig. 4 Left: mean radial column density profile measured on the eastern side of the Vela C ridge in the 11.5′′ resolution column density map shown in Fig. 2 (right). This figure is complementary to Fig. 3 for the side containing the OB cluster. This profile has a p value of 2.3 ± 0.5 and Rflat = 0.05 ± 0.02 pc. The error bars in yellow show the dispersion of the radial profile along the filament, while the lines on the plot are as per Fig. 3 and as indicated on the key. Right: comparison of the mean background-subtracted radial profiles measured on the western side of the Vela C ridge in the 11.5′′ resolution column density map (black curve and yellow error bars) and in the 36.3′′ resolution column density map (orange curve). The black and orange dash-dotted curves represent the effective 11.5′′ and 36.3′′ HPBW resolutions of the corresponding data, respectively. |
![]() |
Fig. 5 Left: column density map of the Serpens South filament (36′′ resolution) derived from HGBS data (see Könyves et al. 2010), with the corresponding topological filament identified overlaid in blue. Right: mean radial density profile (taken from both sides of the filament) measured perpendicular to the supercritical Serpens South filament (left) shown here in log-log format. Lines and colour coding are consistent with Figs. 3 and 4. The Gaussian fit to the inner part of the profile (dotted blue curve) has a deconvolved FWHM width 0.10 ± 0.05 pc. The best Plummer-like model fit (dashed red curve) has an inner radius Rflat ~ 0.03 ± 0.01 pc and a power-law index p = 2.02 ± 0.27. |
All Figures
![]() |
Fig. 1 P-ArTéMiS 450 μm map of the RCW 36/Vela C ridge at 10′′ resolution. The contours are 3, 7, 11 Jy/10′′-beam and the rms noise level in the central part of the map is ~1 Jy/10′′-beam. |
In the text |
![]() |
Fig. 2 The Vela C ridge/RCW 36 column density maps. The units are in H2 cm-2. Left: map derived from the longest four Herschel wavebands with a resolution of 36′′, equivalent to that of the SPIRE 500 μm band. Right: map constructed using P-ArTéMiS and Herschel data, with resolution 11.5′′. Appendix A details how this map was created. The filament from which the radial density profile (Fig. 3) was determined (see Sect. 3.2) is as indicated by the black line, measured on the right map but, overlaid on the left figure for clarity. |
In the text |
![]() |
Fig. 3 The mean radial density profile (western component) perpendicular to the Vela C ridge (black line in Fig. 2, left), shown here in log-log format. The complementary eastern profile (in the direction of the star cluster) is given in Fig. 4. The area in yellow shows the dispersion of the radial profile along the filament. The solid blue line corresponds to the effective 11.5′′ HPBW resolution of the column density map (0.04 pc at 700 pc) used to construct the profile. The dotted blue line indicates the Gaussian profile, while the dotted red line shows the best fit to the model, often called the Plummer profile. |
In the text |
![]() |
Fig. 4 Left: mean radial column density profile measured on the eastern side of the Vela C ridge in the 11.5′′ resolution column density map shown in Fig. 2 (right). This figure is complementary to Fig. 3 for the side containing the OB cluster. This profile has a p value of 2.3 ± 0.5 and Rflat = 0.05 ± 0.02 pc. The error bars in yellow show the dispersion of the radial profile along the filament, while the lines on the plot are as per Fig. 3 and as indicated on the key. Right: comparison of the mean background-subtracted radial profiles measured on the western side of the Vela C ridge in the 11.5′′ resolution column density map (black curve and yellow error bars) and in the 36.3′′ resolution column density map (orange curve). The black and orange dash-dotted curves represent the effective 11.5′′ and 36.3′′ HPBW resolutions of the corresponding data, respectively. |
In the text |
![]() |
Fig. 5 Left: column density map of the Serpens South filament (36′′ resolution) derived from HGBS data (see Könyves et al. 2010), with the corresponding topological filament identified overlaid in blue. Right: mean radial density profile (taken from both sides of the filament) measured perpendicular to the supercritical Serpens South filament (left) shown here in log-log format. Lines and colour coding are consistent with Figs. 3 and 4. The Gaussian fit to the inner part of the profile (dotted blue curve) has a deconvolved FWHM width 0.10 ± 0.05 pc. The best Plummer-like model fit (dashed red curve) has an inner radius Rflat ~ 0.03 ± 0.01 pc and a power-law index p = 2.02 ± 0.27. |
In the text |
![]() |
Fig. A.1 Ratio map of the 11.5′′ resolution column density map (corresponding
to |
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.