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Astron. Astrophys. 359, 1124-1138 (2000)
4. Numerical simulations
4.1. The simulation
The formalism and the results presented in the previous section
allow us to qualitatively understand the behaviour and the effects of
the magnetic field in a converging and very compressible flow. Except
for the solutions of Appendix B, they are only valid for loss
functions proportional to temperature
( ) and this is an important
restriction. In particular, these functions present no thermal
bistability. In order to avoid this restriction and to understand more
quantitatively the thermal condensation in a bistable flow like the
ISM, we now present a numerical simulation of the system of Eq. (1-6).
As in Paper I, the cooling function is a fit (Lioure 1991) of the
function calculated by Dalgarno & McCray (1972) and is equal
to:
![[EQUATION]](img162.gif)
The heating rate per atom is taken as a constant equal to
( ), and the ionization fraction is
equal to . The resulting loss
function is bistable and comparable to more recent calculations
(Wolfire et al. 1995).
The main difficulty of the present problem is due to the presence
of several very different time and space scales. The smallest space
scale in the simulation is the Field length in the CNM
( ), and the largest is the scale of
the initial flow. This difficulty is overcome by the use of an
adaptive spatial grid with adaptive time steps. A description of the
code can be found in Paper I. The condition for adapting the
resolution is that the spatial gradients of density and temperature
must be smaller than 1%. Tests of the robustness of the results with
respect to this criterion have been made for a simulation (not very
close to the condensation threshold) with a tolerance of respectively
0.5% and 2%. The differences between these and the original results
never exceed 1 and 2% respectively for any of the
and
fields. The total energy (thermal,
kinetic and magnetic), the mass and the transverse magnetic flux
(which is conserved in slab geometry) are conserved with an accuracy
better than . The comparison between
numerical and approximate theoretical values of the fronts velocity
gives agreement of .
As in Paper I, the simulations start from WNM with initially
uniform density and temperature. The converging velocity field has no
initial transverse component (see Fig. 4). The gas is initially
linearly thermally stable. The initial magnetic field is also uniform
and is defined by its intensity and the angle
.
![[FIGURE]](img184.gif) |
Fig. 4. The six fields considered for and initial magnetic intensity equal to . Time 0 (full line), 42.40 (dotted line) and s (dashed line). After a short contraction, the gas re-expands and no thermal condensation occurs. However, at time 42.40 and at the center point, and are comparable, whereas at time 72.43, is less than 1 and is greater than 2. Magnetic field and density decorrelated rapidly.
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4.2. Cloud formation with magnetic field
We present two simulations that differ only in the initial values
of and choose initial conditions
(amplitude and typical spatial scale of the velocity field, thermal
pressure) that would lead to thermal condensation in the absence of a
magnetic field. The initial value of
is equal to
( ), which is comparable to the
measurements of Troland & Heiles (1986) and Myers et al. (1995).
The results can be seen in Fig. 4 and Fig. 5.
![[FIGURE]](img198.gif) |
Fig. 5. The six fields considered for and . Time 0 (full line), 39.62 (dotted line) and (dashed line). At time 73.83, very stiff gradients appear, due to the condensation of WNM into CNM. At time 39.62, the value of at the center is about 3 times the initial value, which is also the ratio between density at origin and initial density. At time 73.83, is about 3 times less than the initial value whereas the ratio between density at the center and initial density is greater than 150 (see Fig. 7).
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For , the thermal condensation is
not obtained, magnetic pressure prevents it. At time
s
and are correlated, whereas at time
s the central density peak
corresponds to a minimum of .
For part of the gas, initially
WNM, condenses into CNM, forming a cloud. As in the lower panel of
Fig. 2, the magnetic tension is strong enough to force the magnetic
pressure to decrease after an increase phase before the flow stops.
Hence, the thermal condensation is possible. This highly compressible
MHD process is more clearly illustrated in Fig. 6. The magnetic field
lines and the velocity field of Fig. 5 are displayed in the x-y plane
for three different times. The magnetic field lines are first bended
forward by the longitudinal flow and the gas is put in forward motion
ahead of the compression, first towards positive y, then towards
negative y, when the field tension reverses the flow (upper panel).
This side flow advects the field lines and inverts their curvature in
the neighbourhood of the convergence focus (middle panel), where the
flow nearly stops. But the density in the center has been sufficiently
increased in the meanwhile, for the thermal pressure drop to start
pumping the neighbouring gas towards the center along the field lines,
as clearly appears in the lower panel. The lines slowly unbend at
subsequent times.
![[FIGURE]](img204.gif) |
Fig. 6. Two dimensional display of Fig. 5 (half part only). Magnetic field lines and velocity field are presented for three different times. The initial conditions are superimposed for easier reference (thin lines).
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Simulations with a twice stronger field show a similar initial
field bending, but the field relaxes much faster to its original
direction, aligning the whole flow parallel to itself.
Fig. 7 is a spatio-temporal zoom of Fig. 5. The density reached in
the center is more than a hundred times the density of the WNM,
whereas the value of the transverse magnetic field is comparable to
the initial value. For this last example, we can conclude that the
presence of a magnetic field does not prevent strong
condensations.
![[FIGURE]](img212.gif) |
Fig. 7. Spatio-temporal zoom around the center of the simulation of Fig. 5 at time 72.15 (full line), 73.21 (dotted line) and (dashed line), the spatial scale considered is a thousand times smaller than the scale of Fig. 5. The density increases up to ( )
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The self-similar behaviour of the fields is apparent at times 72.15
and (Fig. 7). The time evolution
can be approximatively described by a spatial dilatation and
renormalization of the different fields. It progressively disappears
when part of the gas reaches thermal equilibrium because at this point
the thermal loss function much deviates strongly from
.
4.3. Cloud evolution with magnetic field
Let us further investigate the consequences of the magnetic field
during the condensation process. Fig. 8 shows the evolution of the
cloud column density (only pixels with density 10 times higher than
the initial density are taken into account) for four values of
. The condensation occurs later when
increases, and is less efficient.
However, the growth curves are similar for all angles, starting with a
fast dynamical growth followed by a slow conductive growth (not well
described because in our simulation
does not depend on ). To allow for
the first parcel of gas (WNM) to reach the second branch of
equilibrium (CNM), the magnetic pressure has to be small. According to
the mechanism described in Sect. 2 and 3 it is more difficult and
slower to decrease the magnetic pressure when the value of
increases. But, once the
condensation process starts, the effect of the magnetic field on the
growth of the cloud becomes weak.
![[FIGURE]](img229.gif) |
Fig. 8. Evolution of the column density of the cloud. All corresponding initial parameters are defined as in Fig. 4 except . Top curve is , second one , third and fourth one, and respectively. For no thermal condensation occurs. As expected, the condensation starts later and is less efficient when increases.
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The evolution of the cloud formed in Fig. 7, is shown in Fig. 9 at
subsequent times. Most of the gas in the cloud reaches thermal
equilibrium, two fronts separate the two phases. Pressure and density
decrease slowly and the cloud relaxes until it reaches pressure
equilibrium with the surrounding medium. The fronts propagate slowly
in a quasi-isobaric regime (see Ferrara & Shchekinov 1993 and
Paper I for a quantitative comparison in the non-magnetized
case). Due to a small transverse velocity gradient (induced by the
magnetic tension), the transverse magnetic field, that decreased
during the condensation process, rises back to the mean large scale
value. The field lines slowly unbend until they become straight. At
the end of the process, thermal and magnetic pressure are uniform.
![[FIGURE]](img233.gif) |
Fig. 9. Long time evolution of the cloud formed in Fig. 5 for time 84.9 (full line), 96.2 (dotted line) and s (dashed line). The density decreases and the temperature is constant so that thermal pressure decreases until the gas reaches pressure equilibrium with the surrounding medium. The transverse magnetic field re-increases until it reaches the average large scale value.
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4.4. Threshold dependence on magnetic and velocity fields
We now investigate the condensation dependence on magnetic
intensity and velocity amplitude. In Paper I, we already studied
how the nucleation threshold varies with the initial pressure,
amplitude and size of the convergent flow. We shall not consider it
further in this paper, although an extended study including these
parameters and the magnetic field has to be done at some stage. The
initial pressure
( ) and the initial size of the
convergent flow is
(twice the distance between the
center and the peaks of the initial velocity field). These two values
are typical of the WNM. For several values of
and for the two values
and
, we look for the largest value of
,
at which thermal condensation occurs. The method used is dichotomy and
the accuracy is one degree. The results are presented on Fig. 10. In
both cases two branches are found, between which no condensation
occurs.
![[FIGURE]](img249.gif) |
Fig. 10. Dependence of on initial magnetic intensity for two initial values of . In both cases two branches can be seen: the condensation does not occur at intermediate values of B. When the initial velocity increases, the minimum value of increases also, the condensation is easier.
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Before making further comments on Fig. 10, we use Eq. (13) to
derive a rough expression of the magnetic field that allows us to
understand qualitatively some features of Fig. 10 and summarizes the
conclusions i) , ii) and iii) of Sect. 3. The
l.h.s. of Eq. (13) is comparable to
and the first term of the r.h.s. to
. The order of magnitude of the
second term of l.h.s. is given by
where is the dynamical time. The
matter conservation leads to . With
these relations, we find
![[EQUATION]](img256.gif)
If , clearly Eq. (38) is not
valid anymore.
With Eq. (38) three regimes are expected:
The typical values of range from
20 to .
The distribution of results from
the development of the MHD turbulence and is not straightforwardly
quantified. The assumption of a random distribution likely yields an
upper limit on the efficiency loss
( ) with respect to the unmagnetized
cases. We have:
![[EQUATION]](img263.gif)
gives
and
,
. As expected the magnetic field
stabilizes partially the flow against thermal condensation, reducing
the number of condensations that would occur in a non-magnetized gas
by a factor 5 to 20. However, the condensations are still possible,
the rate of cloud formation is reduced but is not equal to zero.
For larger velocities, several structures appear and the problem
becomes more complex because these structures collide. Such cloud
collisions, well described in the literature (Mac Low et al. 1994,
Ricotti et al. 1997, Miniati et al. 1999), lead to strong density
contrasts in the CNM and strong enhancement of the local magnetic
field.
© European Southern Observatory (ESO) 2000
Online publication: July 13, 2000
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