Issue |
A&A
Volume 521, October 2010
Herschel/HIFI: first science highlights
|
|
---|---|---|
Article Number | L40 | |
Number of page(s) | 7 | |
Section | Letters | |
DOI | https://doi.org/10.1051/0004-6361/201015119 | |
Published online | 01 October 2010 |
Online Material
AcknowledgementsThe authors are grateful to many funding agencies and the HIFI-ICC staff who has been contributing for the construction of Herschel and HIFI for many years. HIFI 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 Astronómico Nacional (IGN), Centro de Astrobiología (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.
Appendix A: Radex model
Figure A.1 shows the CO 6-5/10-9 line ratios for a slab model with a range of temperatures and densities.![]() |
Figure A.1: Model line ratios of CO 6-5/10-9 for a slab model with a range of temperatures and densities. The adopted CO column density is 1017 cm-2 with a line width of 10 km s-1, comparable to the inferred values. For these parameters the lines involved are optically thin. The colored lines give the range of densities within the 20'' beam for the three sources based on the models of Jørgensen et al. (2002). |
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Appendix B: Abundance profiles for IRAS 2A
Among the three sources, IRAS 2A has been selected for detailed CO abundance profile modeling because more data are available on this source, and because its physical and chemical structure has been well characterized through the high angular resolution submillimeter single dish and interferometric observations of Jørgensen et al. (2005a,2002). The physical parameters are taken from the continuum modeling results of Jørgensen et al. (2002). In that paper, the 1D dust radiative transfer code
DUSTY
(Ivezic & Elitzur 1997) was used assuming a power law to describe the
density gradient. The dust temperature as function of radius was
calculated self-consistently through radiative transfer given a
central source luminosity. Best-fit model parameters were obtained by
comparison with the spectral energy distribution and the submillimeter
continuum spatial extent. The resulting envelope structure parameters
are used as input to the Ratran
radiative transfer modeling
code (Hogerheijde & van der Tak 2000) to model the CO line intensities for a
given CO abundance structure through the envelope. The model
extends to 11000 AU from the protostar, where the density has dropped
to

The C18O lines are used to determine the CO abundance structure because the lines of this isotopologue are largely optically thin and because they have well-defined Gaussian line shapes originating from the quiescent envelope without strong contaminations from outflows. Three types of abundance profiles are examined, namely ``constant'', ``anti-jump'' and ``drop'' abundance profiles. Illustrative models are shown in Fig. B.1 and the results from these models are summarized in Table B.1.
![]() |
Figure B.1:
Examples of constant, anti-jump, and drop abundance profiles for IRAS 2A for
|
Open with DEXTER |
Table B.1: Summary of CO abundance profiles for IRAS 2A.
B.1 Constant abundance model
The simplest approach is to adopt a constant abundance across the entire envelope. However, with this approach, and within the framework of the adopted source model, it is not possible to simultaneously reproduce all line intensities. This was already shown by Jørgensen et al. (2005c). For lower abundances it is possible to reproduce the lower-J lines, while higher abundances are required for higher-J lines. In Fig. B.2 the C18O spectra of a constant-abundance profile are shown for an abundance of
B.2 Anti-jump abundance models
The anti-jump model is commonly adopted in models of pre-stellar cores without a central heating source (e.g., Tafalla et al. 2004; Bergin & Snell 2002). Following Jørgensen et al. (2005c), an anti-jump abundance profile was employed by varying the desorption density,



The best fit to the three lowest C18O lines (1-0, 2-1 and 3-2)
is consistent with that found by Jørgensen et al. (2005c),
corresponding to
cm-3 and
(CO abundance of
). In the
fits, the calibration uncertainty
of each line (ranging from 20 to 30%) is taken into account.
These modeled spectra are overplotted on the observed spectra in
Fig. B.2 as the blue lines, and show that the anti-jump
profile fits well the lower-J lines but very much underproduces the
higher-J lines.
The value of X0 was verified a posteriori by keeping
at two different values of
and
cm-3. This is illustrated in Fig. B.3 where the
contours show that for both values of
,
the best-fit value of X0 is
,
the value also found in Jørgensen et al. (2005c). The
contours have been calculated from the lower-J lines only, as these are paramount in constraining the value of X0. Different
plots were made, where it was clear that higher-J lines only constrain
,
as expected. The effect of
is illustrated in Fig. B.4 for the two values given above.
![]() |
Figure B.2:
Best fit constant (green), anti-jump (blue) and drop abundance (red) Ratran models overplotted on the observed spectra. All
spectra refer to single pointing observations. The
calibration uncertainty for each spectrum is around 20-30 |
Open with DEXTER |
![]() |
Figure B.3:
The |
Open with DEXTER |
![]() |
Figure B.4:
The IRAS 2A spectra for the X0 and |
Open with DEXTER |
![]() |
Figure B.5:
Reduced |
Open with DEXTER |
B.3 Drop-abundance profile
In order to fit the higher-J lines, it is necessary to employ a
drop-abundance structure in which the inner abundance
increases above the ice evaporation temperature
(Jørgensen et al. 2005c). The abundances
and X0 for
are kept the same as in the anti-jump model, but
is not necessarily the same as X0. In order to
find the best-fit parameters for the higher-J lines, the inner
abundance
and the evaporation temperature
were varied. The
plots (Fig. B.5, left
panel) show best-fit values for an inner abundance of
and an evaporation temperature of
25 K (consistent with the laboratory values), although the latter
value is not strongly constrained. These parameters fit well the
higher-J C18O 6-5 and 9-8 lines (Fig. B.2). The
C18O 5-4 line is underproduced in all models, likely
because the larger HIFI beam picks up extended emission from
additional dense material to the northeast of the source seen in
BIMA C18O 1-0 map (Volgenau et al. 2006).
Because the results do not depend strongly on
,
an
alternative approach is to keep the evaporation temperature fixed at
25 K and vary both
and
by fitting both low-
and high-J lines simultaneously. In this case, only an upper limit
on
of
is found
(Fig. B.5, right panel), whereas the inferred value of
is the same. This figure conclusively illustrates that
,
i.e., that a jump in the abundance due to
evaporation is needed.
The above conclusion is robust within the context of the
adopted physical model. Alternatively, one could investigate
different physical models such as those used by Chiang et al. (2008),
which have a density enhancement in the inner envelope due to a
magnetic shock wall. This density increase could partly mitigate the
need for the abundance enhancement although it is unlikely that the
density jump is large enough to fully compensate. Such models are
outside the scope of this paper. An observational test of our model
would be to image the N2H+ 1-0 line at high angular
resolution: its emission should drop in the inner 900 AU
(
4
)
where N2H+ would be destroyed by the enhanced
gas-phase CO.
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