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Astron. Astrophys. 342, 809-822 (1999) 6. DiscussionComparing the two models allows us to contrast the gas-phase halo chemistry sampled by the single line of sight model and the mixed gas-phase and mantle-evaporation chemistry sampled by the beam-averaged model. In particular it will allow us to determine the most probable origins of certain species, i.e. can the observed column densities be reproduced by gas-phase chemistry alone or do they depend upon the grain mantle-evaporation chemistry sampled in the fringes of the beam? The limitations of the column densities derived from the observations and the predictions of the model have already been mentioned in Sect. 5; in this section we dwell upon them in more detail. We will interpret the predictions of our models below and discuss what can be done to enhance the chemical modelling of hot cores, in particular the radial chemical model of G34.26+0.15, in the next section. Firstly, what are the similarities between both models? Broadly
speaking the ratios of the model to observed column density are fairly
similar in both models for most molecules (CH3OH is the
notable exception, as is SO2 when core evolution is
considered). The column densities predicted by the beam-averaged model
are higher than the corresponding column densities predicted by the
single line of sight model, which is due to the beam-averaged column
density being larger than the "pencil-beam" column density by roughly
7 Secondly, what are the differences between the single line of sight
model and the beam-averaged model? The only molecule for which the
inclusion of beam-averaging significantly alters the column density at
all times in the model is CH3OH. The methanol in the halo
alone decays rapidly over the timescale of the halo evolution whereas
in the beam-averaged case the methanol abundance remains roughly
constant. The chemical evolution of the core tends to have little
effect upon the column densities of most molecules, but the column
densities of CH3OH and SO2 change over the core
evolution timescale. The CH3OH column density is reduced by
a factor of almost 2 as the core evolves from 3.2
A key factor in both models is that they overestimate the column densities of almost every species considered. The simplest explanation for this is that our observed column densities are all lower limits based upon one or two detections of each species. The true column density may be higher than our derived lower limit and this would bring the model predictions better into line with the actual column densities. However some of the model column densities are factors of several hundred larger than the observed column densities and the true column density is unlikely to be several hundred times the observed lower limit. We have examined this in the case of the E-type form of methanol, for which we have sufficient transitions to form a rotation diagram. A lower limit to the methanol column density can be evaluated for each line used in the rotation diagram. The lower limits when compared to the strict value determined from the rotation diagram do not differ by more than a factor of 2. On the evidence of E-type methanol the lower limits do not underestimate the true column density by a significant amount. This may not be true for all the molecules detected in our survey but we can be reasonably confident that the lower limits do not underestimate the true value by more than a factor of ten. We also note that the column densities predicted by the model will be affected by departures from our assumptions about the molecular cloud (e.g. a spherical cloud at an assumed distance of 3.1 kpc). Column density is simply the number density of the species integrated through the depth of the cloud. If the cloud is not spherical to any great degree (as can be seen in Fig. 1 the HCO+ emission traces a kidney-shaped cloud) the model cloud depth will not match the actual cloud depth and will give rise to errors in the predicted column density. The structural model on which the chemical model is based is that derived from the radiative transfer modelling of Heaton et al. (1993). The authors note the same problem and that the line profiles are reproduced excellently by assuming a spherical cloud. Our model takes no account of optical depth, implicitly assuming
that emission from all species is optically thin by integrating the
column densities throughout the entire depth of the cloud. Optically
thick emission arises predominantly from the surface layers of the
cloud and column densities derived from optically thick lines will
underestimate the actual column density throughout the whole cloud
(i.e. the derived lower limits to column density in Table 2 are
true lower limits even in the optically thick case). The lower limit
to the column density of CO was obtained from the C17O 3-2
line, which is likely to be optically thin (the CO column density is
obtained by assuming a 16O/17O ratio of 2400).
CS is also likely to be optically thin or at most moderately optically
thick as the isotopomer C34S is not detected (the maximum
optical depth of CS is 2-3 if C34S is below the
5 Given the above caveats we must reconcile the model predictions
with the observations of the halo, in particular to estimate the
degree of influence by the core. The model predicts that the column
densities of methanol are strongly affected by the high column
densities present toward the core (the core column density of methanol
is some 4 orders of magnitude greater than the halo, Millar et
al. 1997). The observational evidence for this is somewhat
limited. Methanol does not display an overly high rotation temperature
( The line widths and rotation temperature of the methanol suggest
that the methanol emission is predominantly from the halo. This is at
odds with the predictions of the beam-averaged model where the
observed column densities of methanol are reproduced by the inclusion
of warmer gas toward the core. The beam-averaged model does not
however take into account the possibility of grain mantle evaporation
in the halo. Temperatures in the inner regions of the halo may be high
enough to evaporate volatile non-polar ices from grain mantles and
enrich the gas-phase chemistry. If the temperature from the methanol
rotation diagram is taken to be representative of the gas temperature,
then the halo has an average temperature of
Large quantities of CO are present in grain mantle ices (Chiar et
al. 1994, 1995). CO can react on the grain surface with hydrogen
atoms, maintained by cosmic-ray processes, to produce CH3OH
(van Dishoeck & Blake 1998 and references therein). The
constituents of the grain mantle ices evaporate at different
temperatures, which may lead to a chemical stratification of the
cloud. CO in non-polar ices is thought to evaporate at temperatures of
15-20 K, or if trapped in polar ices is expected to sublime at
temperatures of Methanol has a higher sublimation temperature than CO; perhaps
We have also investigated the model predictions of the column
density of propyne (CH3CCH) in the halo of G34.3. The
observed propyne column density of 4.6
The model overestimates the column densities of most species, particularly CS at all times of the model. One reason why the column density of CS in the model is much higher than observed may be that the initial abundance of sulphur is too high. In the compact and ultracompact cores sulphur is injected into the gas phase from grain mantles in the initial form of H2S, with an abundance of 10-6, following observations of the Orion Hot Core by Minh et al. (1990). A recent study of sulphur chemistry in hot cores (Hatchell et al. 1998b) shows that a lower initial abundance of H2S (10-7) may help to reproduce the observed column densities of CS. The column density of SO2 also depends upon the intial sulphur abundance as both SO2 and CS are mainly produced in the halo gas by reactions with atomic sulphur. A decrease of the initial abundance of atomic sulphur present in the halo corresponding to that of Hatchell et al. (1998b) would reduce model column densities by a factor of 10. A reduction in the elemental sulphur abundance in the halo by a factor of 10-50 would predict CS abundances much closer to those observed and alter the prediction of SO2 for the halo age much more in line with other species, i.e. to an age of roughly 106 years. Combining the predictions of all the species modelled leads to a rough timescale for the evolution of the halo, with a cautionary warning that the final results are sensitively dependent upon the initial abundances of the model (as seen above for the CS and SO2 abundances). Different molecular tracers predict different ages for the halo and core (as can be seen in Tables 4 and 5). The consideration of the initial sulphur abundance and mantle-evaporation chemistry in the halo may remove the discrepancies between the different molecules, although further investigation is necessary to resolve their effects. If the initial sulphur abundance is too high then the halo is likely to be old (105-106 years), whereas if the evaporation of grain mantles is important for halo chemistry then the halo may be considerably younger. However when all of the molecules and their predicted column densities are considered the most likely age for the halo is 105-106 years. A young halo contains roughly two orders of magnitude more of HCN and CN than is observed. The column densities of certain molecules (CS and propyne) cannot be reproduced by either the beam-averaged or single line of sight models. The column density of methanol can be reproduced by the beam-averaged model but observational evidence (low rotational temperature and narrow linewidths) points to the methanol emission originating from the halo. We will discuss possible improvements to the radial chemical model in the next section. ![]() ![]() ![]() ![]() © European Southern Observatory (ESO) 1999 Online publication: February 23, 1999 ![]() |