Issue |
A&A
Volume 521, October 2010
Herschel/HIFI: first science highlights
|
|
---|---|---|
Article Number | L24 | |
Number of page(s) | 7 | |
Section | Letters | |
DOI | https://doi.org/10.1051/0004-6361/201015099 | |
Published online | 01 October 2010 |
The origin of the [C II] emission in the S140 photon-dominated regions. New insights from HIFI
,![[*]](/icons/foot_motif.png)
C. Dedes1 - M. Röllig2 - B. Mookerjea3 - Y. Okada2 - V. Ossenkopf2,4 - S. Bruderer1 - A. O. Benz1 - M. Melchior5 - C. Kramer6 - M. Gerin7 - R. Güsten8 - M. Akyilmaz2 - O. Berne9 - F. Boulanger10 - G. De Lange4 - L. Dubbeldam4 - K. France11 - A. Fuente12 - J. R. Goicoechea 13 - A. Harris14 - R. Huisman4 - W. Jellema4 - C. Joblin15,16 - T. Klein8 - F. Le Petit17 - S. Lord18 - P. Martin11 - J. Martin-Pintado13 - D. A. Neufeld19 - S. Philipp8 - T. Phillips20 - P. Pilleri15,16 - J. R. Rizzo13 - M. Salez21,7 - R. Schieder2 - R. Simon2 - O. Siebertz2 - J. Stutzki2 - F. van der Tak4,22 - D. Teyssier23 - H. Yorke24
1 - Institute for Astronomy, ETH Zürich, 8093 Zürich, Switzerland
2 -
I. Physikalisches Institut der Universität
zu Köln, Zülpicher Straße 77, 50937 Köln, Germany
3 -
Tata Institute of Fundamental Research (TIFR), Homi Bhabha Road, Mumbai 400005, India
4 -
SRON Netherlands Institute for Space Research, PO Box 800, 9700 AV
Groningen, The Netherlands
5 -
Institut für 4D-Technologien, FHNW, 5210 Windisch, Switzerland
6 -
Instituto de Radio Astronomía Milimétrica (IRAM), Avenida Divina Pastora 7, Local 20, 18012 Granada, Spain
7 -
LERMA, Observatoire de Paris, 61 Av. de l'Observatoire, 75014 Paris, France
8 -
Max-Planck-Institut für Radioastronomie, Auf dem Hügel 69, 53121, Bonn, Germany
9 -
Leiden Observatory, Universiteit Leiden, PO Box 9513, 2300 RA Leiden, The Netherlands
10 -
Institut d'Astrophysique Spatiale, Université Paris-Sud, Bât. 121, 91405 Orsay Cedex, France
11 -
Department of Astronomy and Astrophysics, University of Toronto, 60 St. George Street, Toronto, ON M5S 3H8, Canada
12 -
Observatorio Astronómico Nacional (OAN), Apdo. 112, 28803 Alcalá de Henares (Madrid), Spain
13 -
Centro de Astrobiología (INTA-CSIC), Ctra de Torrejón a Ajalvir, km 4, 28850 Torrejón de Ardoz, Madrid, Spain
14 -
Astronomy Department, University of Maryland, College Park, MD 20742, USA
15 -
Université de Toulouse, UPS, CESR, 9 avenue du colonel Roche, 31062 Toulouse Cedex 4, France
16 -
CNRS, UMR 5187, 31028 Toulouse, France
17 -
Observatoire de Paris, LUTH and Université Denis Diderot, Place J. Janssen, 92190 Meudon, France
18 -
IPAC/Caltech, MS 100-22, Pasadena, CA 91125, USA
19 -
Department of Physics and Astronomy, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA
20 -
California Institute of Technology, 320-47, Pasadena, CA 91125-4700, USA
21 -
Laboratoire d'Études du Rayonnement et de la Matière en Astrophysique, UMR 8112 CNRS/INSU, OP, ENS, UPMC, UCP, Paris, France
22 -
Kapteyn Astronomical Institute, University of Groningen, PO box 800, 9700 AV Groningen, The Netherlands
23 -
European Space Astronomy Centre, Urb. Villafranca del Castillo, PO Box 50727, 28080 Madrid, Spain
24 -
Jet Propulsion Laboratory, 4800 Oak Grove Drive, MC 302-231, Pasadena, CA 91109, USA
Received 31 May 2010 / Accepted 28 July 2010
Abstract
Using Herschel's HIFI instrument, we observe [C II] along a
cut through S140, as well as high-J transitions of CO and HCO+at two positions on the cut, corresponding to the externally
irradiated ionization front and the embedded massive star-forming core IRS1. The HIFI data were combined with available
ground-based observations and modeled using the KOSMA- model for
photon-dominated regions (PDRs). We derive the physical conditions
in S140 and in particular the origin of [C II] emission around IRS1.
We identify three distinct regions of [C II] emission from the cut, one
close to the embedded source IRS1, one associated with the ionization
front, and one further into the cloud. The line emission can be
understood in terms of a clumpy model of PDRs. At
the position of IRS1, we identify at least two distinct components contributing to the [C II] emission, one of them a small, hot component, which can possibly be identified with the irradiated
outflow walls. This is consistent with the [C II] peak
at IRS1 coinciding with shocked H2 emission at the edges of the
outflow cavity. We note that previously available observations of IRS1 can be reproduced well by a single-component KOSMA-
model. Thus, it is HIFI's unprecedented spatial and spectral
resolution, as well as its sensitivity that has allowed us to
uncover an additional hot gas component in the S140 region.
Key words: ISM: structure - ISM: kinematics and dynamics - ISM: molecules - photon-dominated region (PDR) - submillimeter: general
1 Introduction
Massive star formation poses a challenge to the observer, since massive stars are formed predominantly in clustered environments and exhibit a number of entangled energetic phenomena in a small region. The S140 region displays evidence of several phenomena associated with (massive) star formation, such as outflows and strong UV irradiation from both internal and external heating sources creating photon-dominated regions (PDRs). Thus, S140 could also be used as a template for extragalactic star formation that is traced by strong fine structure lines stemming from PDRs.
At a distance of 910 pc, the B0V star HD 211880 ionizes
the edge of the molecular cloud L1204, creating S140, a visible
H II region and PDR (Crampton et al. 1974).
The dense molecular cloud hosts a cluster of embedded massive young stellar objects (YSOs) only 75
from the H II region (e.g., Beichman et al. 1979; Minchin et al. 1993).
Both S140 and its surroundings have been extensively observed in molecular tracers (e.g., Minchin et al. 1993; van der Tak et al. 2000; Persson et al. 2009; Minchin et al. 1995) and the fine structure lines, [C II] (Boreiko et al. 1990; White & Padman 1991; Li et al. 2002), [C I] (Minchin et al. 1994), and [O I] (Emery et al. 1996). An ionized component around IRS1 was detected by Hoare (2006) and Trinidad et al. (2007) at high resolution in the cm continuum observations.
Spaans & van Dishoeck (1997) modeled S140 with a nearly edge-on geometry, a clumpy, inhomogeneous medium, and a radiation field of 150 Draine
units.
Two bi-polar outflows can be found in the S140 cloud (e.g., Weigelt et al. 2002; Preibisch et al. 2002). One is traced by observations of bow-shock-like features and H2 knots, indicating hot, shocked gas, lined up northeast of IRS1 over several degrees, while the other, perpendicular to it, has been observed in CO.
In this paper, we describe and model the [C II], high-J CO and HCO+ observations in the S140 region, observed as part of the WArm and Dense ISM key project (WADI, Ossenkopf et al., KPGT_vossenko_1) using the HIFI (de Graauw et al. 2010) instrument on the Herschel Space Observatory (Pilbratt et al. 2010). The goal of these studies it to investigate and compare the physical properties of the different gas phases in two regions of the S140 cloud, i.e. the star-forming region IRS1 and the ionization front (hereafter IF).
2 Observations and analysis
2.1 HIFI observations
For this paper, two single-pointing, frequency-switching spectra in
bands 1a, 4a, and 4b from the priority science phase and a
[C II] OTF map from the science demonstration phase were analyzed.
The single pointing data were taken towards S140-IRS1 at RA = 2219
18.21
,
Dec = 63
18
46.9
(J2000) and towards a position in the IF at RA = 22
19
11.53
,
Dec = 63
17
46.9
(J2000). The fully sampled [C II] map is centered on RA = 22
19
18.88
,
Dec = 63
18
52.9
(J2000), has a length of
,
and crosses the PDR region from the IF through IRS1 into the dense molecular cloud (Fig. 1,
right). The data presented here were taken with the wide band
spectrometer (WBS) at 1.1 MHz resolution. For the FSW data, the
upper and lower sidebands were processed separately. All observational
parameters are summarized in Table 1.
The data reduction was performed using HIPE 3.0 (Ott et al. 2010).
A forward efficiency of 96% and main beam efficiencies of 0.72,
0.74, 0.76, and 0.65 at 500, 950, 1112 and 1900 GHz, respectively
(R. Moreno, priv. comm.), were used to convert the data to main beam
temperatures
.
Table 1: Summary of the HIFI observations used and basic results.
2.2 Complementary data
We combined the HIFI data with observations
of all CO isotopes in the 2-1 and 3-2 transitions, of 12CO
in the 4-3 and 7-6 transitions, HCO+ and H13CO+ in
the 3-2 and 4-3 transitions, and both fine structure lines of
atomic carbon [C I], taken at the KOSMA 3m sub-mm telescope,
the IRAM 30 m telescope, and the JCMT.
For easy comparison of flux values, all data have been smoothed to the
resolution of the KOSMA 345 GHz data. The procedure
to derive appropriate scaling factors for the single-point
observations with different beams, based on the spatial
distribution measured in the SPIRE 250
m and SCUBA 450
m map, is described in
detail in the Appendix.
2.3 PDR modeling
To model the physical parameters in IRS1 and the IF, we fit the data by the
KOSMA-
PDR code (Röllig et al. 2006). The PDR is represented
by an ensemble of spherical clumps with
a power-law clump-mass spectrum (Cubick et al. 2008). Details are
summarized in Appendix B.
Each clumpy PDR ensemble
has five free parameters: the average density of the clumps in the ensemble,
;
the ensemble mass,
;
the UV field strength,
,
given in units of the Draine field; and the minimum and maximum mass
of the clump ensemble, (
).
We fit absolute line intensities, using the available
ground-based observations and the
HIFI lines of the CO isotopes, HCO+, atomic, and ionized carbon. Simulated
annealing (Ingber 1993) was used to find the optimum parameter combination.
Our model ignores mutual shielding and illumination effects between
different clumps and/or ensembles, i.e., optical depth effects are only considered within individual clumps.
3 Results
![]() |
Figure 1:
Left: position-velocity diagram of the [C II] emission from the IF into the cloud, centered on RA = 22 |
Open with DEXTER |
3.1 [C II] cut
Figure 1, left, shows the measured position-velocity diagram of the [C II] cut. We can distinguish three peaks. The first peak (IF-peak from now on), at around


At the IF position, we see symmetric [C II] line profiles and no
gradient in either line width or centroid velocity. We find indications neither of a pressure gradient nor an evaporation flow
from the PDR surface.
Looking at archival IRAC 8 m data, the peak of the [C II] integrated intensity at the IF-peak is
consistent with that of IRAC 8
m, tracing the PAH and evaporating VSG emission.
The emission at the IRS1-peak is
offset from the young stellar object IRS1 and coincident with the
locations of the deeply embedded source Submm-2, which was first
described by Minchin et al. (1995) and the strong H2 knot #1 found by Preibisch et al. (2002). Compared to the K-band data of Weigelt et al. (2002), the [C II]
peak is close to the edge of what they describe as the wall of the
outflow cavity carved into the material by the jet. The strong [C
II] emission seen here is probably created at this
interface, by either irradiation of the outflow walls (e.g. Bruderer et al. 2009a,b) or shock interactions, as traced by the H2 knots.
The [C II] lines are very broad
with a pronounced red wing tracing an outflow of ionized carbon, which is visible in Fig. 2 between -5 km s-1 and 0 km s-1. A two-component Gaussian profile with components
at -8 km s-1 and -5.5 km s-1 fits the observed [C II] line
profile. Since the -5.5 km s-1 component of the [C II] emission
is not observed in any of the other molecular tracers, it does not
arise in the outflows, but may originate in the ionized medium.
Between the two [C II] peaks, the [C II] emission drops significantly, indicating a spatial separation between the IF component and the component around IRS1.
This drop in [C II]
intensity between the IF-peak and IRS1-peak roughly coincides with a
local minimum of the dust temperature, where the heating from neither
the internal IRS1 source nor the
external star (Lester et al. 1986) are efficient.
In the region where the third peak is seen in [C II], the SPIRE 250 m map also shows a secondary peak
(Juvela et al., priv. comm.), which appears to be a deeply embedded source. The [C II] line has pronounced wings, at a slightly higher velocity than in IRS1. This might be indicative of a separate
outflow or material shocked by the outflow from IRS1.
Several spectra were taken with HIFI at the IRS1 and IF position. Overlay of those spectra of different tracers shows
that with the exception of [C II] all the molecular lines at IRS1 have similar
line shapes (Fig. 2). The [C II] line displays a strong red wing, which was also undetected in the previous coarser spatial resolution
observations by Boreiko et al. (1990). The centroid velocity,
,
of all the molecular
lines ranges from -6.8 to -7.4 km s-1 and agrees well with a
source velocity of -7.1 km s-1 derived from previous observations
(e.g., van der Tak et al. 2000; Persson et al. 2009). Although
somewhat fainter in intensity (particularly in the case of HCO+ 6-5), several of
the molecular lines are still detected at the IF position. The line
widths at the IF position are up to a factor of two narrower than the widths at
the position of IRS1. At the IF position, the centroid velocities fall
between -7.5 to -8.0 km s-1, corresponding to a slight blue shift compared to
the velocities at the IRS1 position. Detailed discussion of the [C II] line profiles
will be taken up in a later paper by Mookerjea et al. (in
prep.).
3.2 PDR model in IRS1
![]() |
Figure 2:
HIFI spectra at IRS1 and the IF. The additional
ghost line at 4 km s-1 in the HCO+(6-5) and 13CO(5-4) data is an artifact
produced by the FSW deconvolution of the two lines, close in IF frequency
but stemming from different receiver sidebands. Some lines are
scaled for a better comparison. The two dashed lines represent the
|
Open with DEXTER |
![]() |
Figure 3:
Clumpy PDR model fit to the observed CO and HCO+ line integrated intensities in IRS1, shown as a function of the upper
level energy. HIFI measurements are depicted as open triangles,
complementary data points as open circles. The range of model intensities spanned by the total mass range of 54-250 |
Open with DEXTER |
Since the PDR region arising from the irradiated outflow walls
is illuminated from both the outside by the B0V star HD 211880
and the inside by the cluster of YSOs around IRS1, we assume
a two component fit with a hot component originating at
IRS1 with strong FUV illumination, but only a small fraction of the total
mass, and a cooler component that provides the bulk of the material.
Owing to the much coarser resolution of the available hydrogen and carbon radio recombination lines (Wyrowski et al. 1997; Smirnov et al. 1995), it is difficult to ascertain the fraction (if any) of [C II] emission contributed by the ionized gas associated with
IRS1. Based on the Gaussian decomposition described in Sect. 3.1,
the [C II] intensity from the PDR must fall between the
60 K km s-1 of the total integrated line and the 37 K km s-1of the -8 km s-1 component only. We consequently obtain two
different limiting fits that differ mainly in terms of the mass of
the cool component between 54 and 250 .
The best fit result is shown in Fig. 3. The corresponding model
parameters for both components can be found in Table 2. Figure 3 also indicates the contributions of the two components
to the emission.
Table 2: The parameters for the two ensembles in the PDR model in IRS1.
Table 3: PDR model fit to the observed atomic fine structure line integrated intensities in IRS1.
The reduced
of the fit is 2.4. We applied a generic 30% error
to all data points. The model slightly underestimates the mid-
J lines of the CO isotopologues and of HCO+.
This is the energetic
region where neither the cool nor the hot component are very
bright, so that this may hint towards a third intermediate
component. However, the available data do not allow us to reliably
derive parameters of a third component. To see the modeled FUV flux of
the hot component, the clumps have to be at a distance of 7
from
IRS1. At this distance, an area filling factor on a spherical shell
of 1.3 is obtained, i.e. the hot component shields the cool
ensemble from most of the FUV flux. To obtain reasonable values of
volume filling factors, i.e.
,
the inner and outer radii of the shell have to be roughly equivalent to 5
and 11-13
,
respectively. While at the larger radii, the FUV flux seen by the hot
component would be somewhat lower than predicted by our model, this
discrepancy is still small compared to the uncertainties in the line
estimates and thus the model parameters.
The model parameters of the cool ensemble are particularly interesting. The FUV field is lower than expected from the externally illuminating star HD 211880. This suggests that the prominent edge-on PDR at the IF blocks the FUV radiation.
3.3 PDR model in the IF
For the IF position, we are not yet able to provide a full model
fit to the data because of the lower numbers of detected lines. We can,
however, derive some qualitative conclusions.
The mid- and high-J lines of CO and HCO+ can only be
explained by a hot gas component with densities on the order of
106 cm-3 and a local FUV intensity on the order of
105 Draine units. The external radiation from HD 211880 cannot provide more than a few thousand Draine units. An additional,
so far unknown UV source seems to be present.
The total gas mass in the beam at the
IF is on the order of 10 .
4 Discussion and conclusions
About 90% of the [C II] emission around IRS1 stems from the hot component near the embedded IR sources. A different heating mechanism accounts for the [CII] from the emission in the ionizing front. This is reflected in our choice of two separate models for the two regions.Previous models of PDR emission in S140 (Spaans & van Dishoeck 1997) described the S140 region as an inhomogeneous medium with
cm-3, a filling factor of 30%, and clumps of 0.04 pc size. The radiation field,
,
of 150 Draine units that they derived is much lower than the one
derived in this work. These authors included the IRS1 cluster as an
embedded heating source in their model, yet did not distinguish between
the two regions of [C II] emission - the IRS1 region and the IF.
They were also unable to include high-J CO lines,
which are important tracers of the hot gas.
In our two component approach, the high-J
CO lines on the one hand tell us how strong the hot ensemble has
to be illuminated by the FUV and they determine how the total
mass is distributed between hot and cool component.
High-J CO lines will be especially valuable since they, in the
context of PDR models, can only be produced by the very high FUV
fields, while lower-J lines have always more mixed origins,
hence pose weaker constraints on the multi-component model. With the
exception of the high-J13CO(10-9) and C18O(9-8) lines, most other data points can be
explained by far more moderate FUV fields.
When repeating our calculations using only pre-HIFI data, we reproduce the parameters obtained in previous models (e.g., Köster 1998; Spaans & van Dishoeck 1997). It becomes apparent that only HIFI data can reveal additional components deep inside the cloud. The low mass of the hot component and the weak FUV field of the cool component suggests that only a small fraction of the material is affected by the full FUV field, supposedly where the outflows created cavity walls at the edge of the ambient material. The bulk of the material is effectively shielded from the FUV photons.
At the IF, our first qualitative results hint at a so-far unknown heating source and a two component density structure. A full PDR-model at this position (Röllig et al., in prep.) should provide additional insight into the properties of the material at the IF.
HIFI's high spectral resolution observations allow us to identify the general velocity fields of the molecular and ionized gas around IRS1 and trace the dynamics of the region, such as the blue outflow emission associated with the SPIRE-peak. This is possibly due to another, still deeply embedded object, which is driving its own outflow.
References
- Beichman, C. A., Becklin, E. E., & Wynn-Williams, C. G. 1979, ApJ, 232, L47 [NASA ADS] [CrossRef] [Google Scholar]
- Boreiko, R. T., Betz, A. L., & Zmuidzinas, J. 1990, ApJ, 353, 181 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Bruderer, S., Benz, A. O., Bourke, T. L., & Doty, S. D. 2009a, A&A, 503, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bruderer, S., Benz, A. O., Doty, S. D., van Dishoeck, E. F., & Bourke, T. L. 2009b, ApJ, 700, 872 [NASA ADS] [CrossRef] [Google Scholar]
- Crampton, D., & Fisher, W. A. 1974, Publ. Dom. Astrophys. Obs., 14 283 [Google Scholar]
- Cubick, M., Stutzki, J., Ossenkopf, V., Kramer, C., & Röllig, M. 2008, A&A, 488, 623 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- de Graauw, Th., Helmich, F. P., Phillips, T. G., et al. 2010, A&A, 518, L6 [Google Scholar]
- Emery, R., Aannestad, P., Minchin, N., et al. 1996, 315, 285 [Google Scholar]
- Heithausen, A., Bensch, F., Stutzki, J., Falgarone, E., & Panis, J. F. 1998, A&A, 331, L65 [NASA ADS] [Google Scholar]
- Hoare, M. G. 2006, ApJ, 649, 856 [NASA ADS] [CrossRef] [Google Scholar]
- Ingber, L. 1993, Simulated Annealing: Practice versus Theory, Mathematical Computer Modelling, 18, 29 [Google Scholar]
- Kaufman, M., Wolfire, M. G., & Hollenbach, D. J. 2006, ApJ, 644, 283 [NASA ADS] [CrossRef] [Google Scholar]
- Köster, B. 1998, Ph.D. Thesis, Univ. Cologne, Germany [Google Scholar]
- Kramer, C., Stutzki, J., Rohrig, R., et al. 1998, A&A, 329, 249 [NASA ADS] [Google Scholar]
- Kramer, C., Mookerjea, B., Bayet, E., et al. 2005, A&A, 441, 961 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lester, D. F., Harvey, P. M., Joy, M., & Ellis, H. B. Jr. 1986, ApJ, 309, 80 [NASA ADS] [CrossRef] [Google Scholar]
- Li, W., Evans II, N. J., Jaffe, D. T., van Dishoeck, E. F., & Thi, W. 2002, ApJ, 568, 242 [NASA ADS] [CrossRef] [Google Scholar]
- Minchin, N. R., White, G. J., & Padman, R. 1993, A&A, 277, 595 [NASA ADS] [Google Scholar]
- Minchin, N. R., White, G. J., Stutzki, J., & Krause, D. 1994, A&A, 291, 250 [NASA ADS] [Google Scholar]
- Minchin, N. R., Ward-Thompson, D., & White, G. J. 1995, A&A, 298, 894 [NASA ADS] [Google Scholar]
- Ott, S. 2010, in Astronomical Data Analysis Software and Systems XIX, ed. Y. Mizumoto, K.-I. Morita, & M. Ohishi, ASP Conf. Ser., in press [Google Scholar]
- Persson, C. M., Olberg, M., Hjalmarson, Å., et al. 2009, A&A, 494, 637 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pilbratt, G. L., Riedinger, J. R., Passvogel, T., et al. 2010, A&A, 518, L1 [CrossRef] [EDP Sciences] [Google Scholar]
- Preibisch, T., & Smith, M. D. 2002, A&A, 383, 540 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Röllig, M., Ossenkopf, V., Jeyakumar, S., Stutzki, J., & Sternberg, A. 2006, A&A, 451, 917 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Röllig, M., Abel, N. P., Bell, T., et al. 2007, A&A, 467, 187 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Smirnov, G. T., Sorochenko, R. L., & Walmsley, C. M. 1995, A&A, 300, 923 [NASA ADS] [Google Scholar]
- Spaans, M., & van Dishoeck, E. F. 1997, A&A, 323, 953 [NASA ADS] [Google Scholar]
- Trinidad, M. A., Torrelles, J. M., Rodriguez, L. F., & Curiel, S. 2007, AJ, 134, 1870 [NASA ADS] [CrossRef] [Google Scholar]
- van der Tak, F. F. S., van Dishoeck, E. F., Evans II, N. J., & Blake, G. A. 2000, ApJ, 537, 283 [NASA ADS] [CrossRef] [Google Scholar]
- Viti, S., Hartquist, T. W., & Myers, P. C. 2006, Ap&SS, 302, 109 [NASA ADS] [CrossRef] [Google Scholar]
- Weigelt, G., Balega, Y. Y., Preibisch, T., Schertl, D., & Smith, M. D. 2002, A&A, 381, 905 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- White, G. J., & Padman, R. 1991, Nature, 354, 511 [NASA ADS] [CrossRef] [Google Scholar]
- Woodall, J., Agúndez, M., Markwick-Kemper, A. J., & Millar, T. J. 2007, A&A 466, 1197 [CrossRef] [EDP Sciences] [Google Scholar]
- Wyrowski, F., Walmsley, C. M., Natta, A., & Tielens, A. G. G. M. 1997, A&A, 324, 1135 [NASA ADS] [Google Scholar]
Online Material
AcknowledgementsHIFI has been designed and built by a consortium of institutes and university departments from across Europe, Canada and the United States under the leadership of SRON Netherlands Institute for Space Research, Groningen, The Netherlands and with major contributions from Germany, France and the US. Consortium members are: Canada: CSA, U.Waterloo; France: CESR, LAB, LERMA, IRAM; Germany: KOSMA, MPIfR, MPS; Ireland, NUI Maynooth; Italy: ASI, IFSI-INAF, Osservatorio Astrofisico di Arcetri- INAF; Netherlands: SRON, TUD; Poland: CAMK, CBK; Spain: Observatorio Astronomico Nacional (IGN), Centro de Astrobiologia (CSIC-INTA). Sweden: Chalmers University of Technology - MC2, RSS & GARD; Onsala Space Observatory; Swedish National Space Board, Stockholm University - Stockholm Observatory; Switzerland: ETH Zurich, FHNW; USA: Caltech, JPL, NHSC. The work on star formation at ETH Zurich is partially funded by the Swiss National Science Foundation (grant nr. 200020-113556). This program is made possible thanks to the Swiss HIFI guaranteed time program. This work was supported by the German Deutsche Forschungsgemeinschaft, DFG project number Os 177/1-1. We thank the members of the Herschel key project ``Galactic Cold Cores: A Herschel survey of the source populations revealed by Planck'' lead by M. Juvela (KPOT_mjuvela) for providing us with the results of the SPIRE 250
m mapping and fruitful discussions. We would also like to acknowledge the use of the JCMT CO(3-2) archival data (PI M. Thompson, M08BU15). A portion of this research was performed at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space administration. We would like to thank an anonymous referee for constructive comments.
Appendix A: Comparison of line profiles taken with different beams
The different lines discussed here were measured at various
telescopes and at different frequencies, so that they all
represent somewhat different spatial resolutions. To allow
a comparison in terms of a physical interpretation, they have
to be translated to a common resolution, so that they stem from
the same area on the sky. As a reference, we use
,
the
resolution of the KOSMA observations in the 3-2 transition of
the CO isotopes. In principle, all data taken at a finer resolution
can be resampled to this beam if the mapped area is large enough.
Unfortunately, most HIFI observations were only single-point
observations, not full maps, so that such a convolution is
impossible. To derive scaling factors that describe the
translation between the measured intensities and the intensity
that would be obtained in an
beam, we have to assume a
source geometry of the emission. Instead of using any analytic
geometry, we use the actually measured distribution of warm dust
seen in the sub-mm. By assuming that the spatial distribution of
all PDR tracers roughly follows the warm dust, we derive scaling
factors for the line intensities at different beam widths, by
convolving the sub-mm continuum map with the different
beam sizes and picking ratios between the convolved intensities
at the measured positions.
As a continuum map at IRS1, we used the combination of the SPIRE 250
m
(
beam size
) and SCUBA 450
m image (
beam size, Holland et al. 1999), because IRS1 is saturated in SPIRE
250
m, whereas the observed area of SCUBA 450
m is too small
to make a convolution map with the beam size of
.
We regrid
the SCUBA 450
m image to the same grid as SPIRE 250
m, determine
the scaling factor between the SCUBA 450
m and the SPIRE 250
m
maps from the overlapping area, and replace the saturated pixels
of SPIRE 250
m with the scaled SCUBA data.
As this combination implies some arbitrariness, we tested
four different approaches. We derive the scaling factor
in a least squares fit using either (1) all the valid overlapping pixels
or (2) only overlapping pixels with SPIRE 250
m
>100 Jy/beam. When replacing
SPIRE pixels, we replace either (1) only saturated pixels,
or (2) the full square area (
pixels)
containing
all saturated pixels. The combination of these provide 4 different
beam scaling factors, which are consistent to within 3%. Taking
the average of these 4 values, we derive the final factors
as shown in Table A.1.
A direct convolution to
was possible for the ground-based
maps that were observed with a smaller beam, such as the JCMT
CO(3-2) map. All the resulting intensities are summarized in Table A.2.
Table A.1:
The scaling factors between the different beam size observations, which
should be multiplied to the line intensity to estimate the one in a
beam.
![]() |
Figure A.1:
a) The spatial distribution of warm dust obtained by combining
the SPIRE 250 |
Open with DEXTER |
Table A.2: List of the complementary data.
Appendix B: The clumpy PDR model
To model the far-infrared line emission from S140, we used a superposition
of spherical clumps described by the KOSMA-
PDR model (Röllig et al. 2006)
that represent an ensemble of clumps with a fixed size-spectrum (Cubick et al. 2008).
The KOSMA-
PDR model simulates a spherical cloud with a radial
density profile given by
![]() |
(B.1) |
The constant c determines the dynamic range that is covered by the power-law density decay. The spectrum of PDR clumps is characterized by the clump mass spectrum
![]() |
(B.2) |
where the factor a is determined by the total mass of clumps within the beam,

![]() |
(B.3) |
which implicitly defines the surface density of the individual clumps







Every individual clump is treated as a spherically symmetric configuration
illuminated by an isotropic external UV radiation field, specified in terms
of the average interstellar radiation field,
erg cm-2 s-1 in Draine units, and cosmic rays
producing an average ionization rate,
s-1. The internal velocity
dispersion of molecules within the clumps is fixed to 1 km s-1.
The model computes the stationary chemical and temperature
structure by solving the coupled detailed balance of heating,
line and continuum cooling, and the chemical network using the
UMIST data base of reaction rates (Woodall et al. 2007) expanded by separate
entries for the 13C chemistry (see Röllig et al. 2007, for details).
The chemical network currently does not include 18O, so that
C18O predictions can only be obtained by scaling the 13CO
values ignoring fractionation between the two species. As this ignores the different
self-shielding of 13CO and C18O, the model results for C18O
are less reliable than for the other lines.
In the superposition of clumps, the line emission from the different
clumps is simply added assuming that the velocity dispersion between
the clumps is large enough, so that they do not shield each other in
position-velocity space. This is valid for most species, except for the [O I]
emission, which is opticallyvery thick (
), so that
the lines are much broader than the velocity distribution. Therefore,
the model is unable to provide any reliable estimate of the
[O I] intensities. For the continuum extinction of the UV
radiation, the situation is different. There, mutual shading of the
clouds is relevant, leading to the concept of different clump
ensembles that ``see'' different UV fields if the average ensemble
extinction exceeds an
of about unity.
The parameters of the clump mass spectrum imply that most of the
mass is actually contained in the largest clumps that also have
the maximum column density or ,
respectively. The dependence of
and clump size on clump mass is given by
![]() |
(B.4) |
and
![]() |
(B.5) |
In terms of the total clump surface or the total solid angle of the different clumps, we find about equal contributions from each logarithmic mass bin in the ensemble (Eq. (16) in Cubick et al. 2008). Consequently, we find a non-trivial dependence of the intensity in the different HIFI lines on the clump mass. Figures 3 and 5 from Cubick et al. (2008) show that the [C II] emission is dominated by the largest clumps, while the high-J CO lines are dominated by the smallest clumps. A complex, non-monotonic behavior is observed for the lines from atomic oxygen and mid- to low-J CO isotopes.
As the clump spectrum is purely observationally based, it has no direct relation to a stability criterion. We indeed find that both the most massive clumps are unstable to gravitational collapse and that the smallest clumps will be dispersed on the timescale of a few million years. Therefore, the spectrum can only be considered as a snapshot of interstellar turbulence that reflects the density structure over a timescale of 106-107 years. The assumption of a steady-state chemistry and energy-balance is therefore only applicable if all rates are higher. This holds for the dense clumps in the S140 model fit with densities above 104 cm-3, but for lower densities, an explicitly time-dependent modeling would be required (Viti et al. 2006).
Footnotes
- ... HIFI
- Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA.
- ...
- Acknowledgements and appendices (pages 5 to 7) are only available in electronic form at http://www.aanda.org
- ... 150 Draine
- In units of
erg cm-1 s-1 in the FUV wavelength range from 912 Å to 1110 Å.
- ... size
- http://herschel.esac.esa.int/Docs/SPIRE/html/spire_om.html
All Tables
Table 1: Summary of the HIFI observations used and basic results.
Table 2: The parameters for the two ensembles in the PDR model in IRS1.
Table 3: PDR model fit to the observed atomic fine structure line integrated intensities in IRS1.
Table A.1:
The scaling factors between the different beam size observations, which
should be multiplied to the line intensity to estimate the one in a
beam.
Table A.2: List of the complementary data.
All Figures
![]() |
Figure 1:
Left: position-velocity diagram of the [C II] emission from the IF into the cloud, centered on RA = 22 |
Open with DEXTER | |
In the text |
![]() |
Figure 2:
HIFI spectra at IRS1 and the IF. The additional
ghost line at 4 km s-1 in the HCO+(6-5) and 13CO(5-4) data is an artifact
produced by the FSW deconvolution of the two lines, close in IF frequency
but stemming from different receiver sidebands. Some lines are
scaled for a better comparison. The two dashed lines represent the
|
Open with DEXTER | |
In the text |
![]() |
Figure 3:
Clumpy PDR model fit to the observed CO and HCO+ line integrated intensities in IRS1, shown as a function of the upper
level energy. HIFI measurements are depicted as open triangles,
complementary data points as open circles. The range of model intensities spanned by the total mass range of 54-250 |
Open with DEXTER | |
In the text |
![]() |
Figure A.1:
a) The spatial distribution of warm dust obtained by combining
the SPIRE 250 |
Open with DEXTER | |
In the text |
Copyright ESO 2010
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