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Astron. Astrophys. 319, 909-922 (1997)
2. The 26Al abundance in the ejecta of O-Ne-Mg novae
In order to calculate the amount of 26 Al produced by
ONeMg novae in the Galaxy, we need to know how much 26 Al
is produced by an ONeMg nova of a given set of parameters and then how
such novae are distributed over those parameters. We discuss the
latter point in Sect. 3.
2.1. Computation of a production function
To determine the mass fraction of 26 Al in the ejecta of
ONeMg novae, we use the results of recent hydrodynamic studies of
accretion onto massive (ONeMg) WDs by Politano et al. (1995, 1996).
These computations use an implicit, 1-D hydrodynamic stellar evolution
code to follow the TNR. The code is coupled to an extended nuclear
reaction network, including 78 nuclei ranging from H to 40
Ca. The nuclear network is described in Politano et al. (1995) and
Weiss & Truran (1990). The hydrodynamic code to which the network
is coupled has been described extensively in the literature (e.g.,
Kutter & Sparks 1972; Starrfield & Sparks 1987). We refer the
reader to these papers for further details.
Three sets of model sequences were calculated by Politano et al.
(1995, 1996). In the first set of sequences, the dependence of the
outburst on the mass of the WD was investigated. In the second set of
sequences, the dependence of the outburst on the amount of enrichment
of the accreted material in O, Ne, and Mg was investigated. Finally,
in the third set of sequences, the dependence of the outburst on the
accretion rate was investigated. For a given set of sequences, only
one parameter was varied, the other two remaining fixed. In all three
sets, an initial WD luminosity of was used.
Initial model parameters and 26 Al mass fractions in the
ejecta for all three sets of sequences are shown in Table 1,
together with an estimate for the total mass of 26 Al
ejected per nova event by the corresponding model.
![[TABLE]](img22.gif)
Table 1. 26 Al and 22 Na abundance, and , in the ejecta of ONeMg nova models for different white dwarf masses , enrichments d of the accreted material in O, Ne and Mg, and mass accretion rates . The sixth column provides an estimate for the total mass of 26 Al ejected into the interstellar medium per TNR for the corresponding nova model. Eq. (12) was used to estimate the total ejected mass.
Here, we model the mass fraction of 26 Al in the ejecta
of ONeMg novae by assuming it can be approximated by a product
function of the three parameters investigated by Politano et al.
(1995, 1996). Accordingly, we obtain as a production function
![[EQUATION]](img23.gif)
where is the mass of the WD,
is the accretion rate, and
is the ratio of the mass ejected in a given
nova outburst to the mass accreted by the WD between outbursts. We
have normalized the factors ,
and to unity for the
nova model with ,
gs-1, and (which we will
hereafter refer to as our "standard" nova model). The normalization
factor, , is then simply the 26 Al
abundance in the ejecta of this standard model (see below). Before
discussing the individual functions in (1), we first discuss the
parameter , and its relationship to the assumed
amount of enrichment of the accreted material in O, Ne, and Mg.
The presence of significant enrichments of CNO or intermediate-mass
elements in the ejecta of most classical novae suggests that the WD
mass is being eroded. Such significant amounts of enrichment are very
difficult to understand unless material from the underlying WD is
being mixed into the accreted envelope material (e.g., Truran 1990).
Unless essentially all of the enriched envelope (i.e., accreted
hydrogen-rich companion material and dredged-up WD material) is
ejected during the explosion, there would remain on the WD some
hydrogen-rich material. During the constant bolometric phase, this
hydrogen would be burned to helium. If this process continued, then,
over the course of several outbursts, eventually the composition of
the underlying WD would be masked by the build-up of remnant helium in
the envelope. Since we do observe substantial enrichments of
CNO or intermediate-mass elements in the ejecta of novae, we conclude
that not only must an amount of mass equal to the accreted companion
mass be ejected, but also an amount of mass equal to the amount of WD
material that was mixed into the envelope. This gives us a
relationship between , the ratio of the ejected
mass, , to the accreted mass,
, and d, the amount of enrichment (by mass) of
the accreted material in O, Ne, and Mg:
![[EQUATION]](img35.gif)
In order to construct the functions, ,
, and , we have made
analytic fits to the data in Table 1 for the separate
dependencies on , , and
. These analytic fits are given below and the
corresponding functions, along with Politano et al.'s data, are shown
in Fig. 1.
![[EQUATION]](img45.gif)
![[EQUATION]](img46.gif)
where , and
![[EQUATION]](img48.gif)
![[FIGURE]](img43.gif) |
Fig. 1. a (upper panel): 26 Al abundance in nova ejecta as a function of WD mass, , computed according to (1) with . The curves correspond to , -8.8 and -7.8 (from bottom to top); b (lower panel, left): from Eq. (4); c (lower panel, right): from Eq. (5). Crosses mark the results from actual model calculations by Politano et al. (1995, 1996), see Table 1.
|
In the enrichment and accretion rate sequences the pre-runaway
abundances were computed differently than in the WD mass sequences. As
a result of this, the 26 Al mass fraction is
40% higher in the 50% enrichment sequence than
in the 1.35 WD mass sequence, even though these
two sequences were computed for identical sets of parameters (1.35
, 50% enrichment, 1017 g
s-1). To compensate for this inconsistency between the WD
mass sequences and the rest of the sequences, we have increased all of
the 26 Al mass fractions in the WD mass sequences listed in
Table 1 by 40%. In particular, we adopt
for the normalization in (1). We note that Hernanz et al. (1996)
investigated the TNR on a ONeMg WD using
similar techniques and input physics as Politano et al. (1995, 1996)
and find an 26 Al output consistent with (1).
One of the central factors which determines the behavior of
, , and
is the peak burning temperature achieved during
the runaway. High peak temperatures (T 100
106 K) are needed to produce the
26 Al via the reaction sequence: 24 Mg(p,
)25
Al( )25 Mg(p,
)26 Al. However, once the temperature
exceeds 200-250
106 K, destruction of 26 Al via the reaction,
26 Al(p, )27 Si, competes
favorably with production mechanisms (e.g., Nofar et al. 1991;
Politano et al. 1995). In the case of the WD mass sequences, as the WD
mass increases, the outburst becomes more violent. The peak
temperature increases from 224 K in the 1.00
sequence to 356 K in the
1.35 sequence. Correspondingly, the mass
fraction of 26 Al decreases monotonically by a factor of
. In the enrichment sequences, it may first
appear unusual that the mass fraction of 26 Al doesn't
increase monotonically as the pre-runaway envelope becomes more
enriched in O, Ne and Mg. After all, it is proton captures on
24 Mg which are ultimately responsible for the production
of 26 Al during the runaway. However, as the enrichment in
O, Ne, and Mg increases, the mass fraction of carbon decreases. Proton
captures on 12 C are responsible for initiating the
runaway. Therefore, a reduction in the 12 C abundance in
the envelope delays the runaway, and this allows the envelope material
to become more degenerate. Once the runaway occurs, the higher
degeneracy causes the outburst to be more violent and higher peak
temperatures are reached. Peak temperatures increase from 257
106 K in the 25% enrichment sequence
to 390 106 K in the 75% enrichment
sequence. Thus, there are two competing effects as the enrichment is
increased: more 24 Mg is available, which means that more
26 Al can be produced, but higher peak temperatures are
achieved, which means that more 26 Al can be destroyed.
These competing effects result in a maximum in
f( ) near (50%
enrichment). Finally, in the accretion rate sequences, as the
accretion rate decreases, longer and longer periods of time are
required in order to achieve a runaway. This allows the accreted
material to become more and more degenerate, and the ensuing runaway
more and more violent. This effect is very prominent; peak
temperatures increase to 700
106 K in the 1016 g/s
sequence. The mass fraction of 26 Al in the ejecta shows a
correspondingly sizable decrease.
Several factors in the model calculations can cause uncertainties
in the corresponding mass fraction of 26 Al. First, the
initial WD temperature in all of the models is probably too high.
Studies of WD temperatures in dwarf novae soon after outburst suggest
that the WD is cooler than expected (Long et al. 1994). Second, the
opacities are still uncertain. Even with the newer (OPAL) opacities,
there are still some problems. In particular, because the material is
partially degenerate, at certain points in the evolution
extrapolations must be made to the opacities where the temperature and
density values are outside of the range of the tables. Third, modeling
convection is problematic since the nuclear burning time scale can be
comparable to or shorter than the convective turn-over time. As with
all other 1-dim. nova simulations that we are aware of, we use a
mixing length description for convection, adapted to the physical
situation under consideration as described in Starrfield et al.
(1978). Convective mixing is handled by solving the diffusion equation
at the end of each time step for each isotope over the convective
region. A closer inspection of the interplay between convective
turbulent motion and nuclear burning similar to the case of Type Ia
supernovae (e.g. Niemeyer & Hillebrandt 1995) would require a 2-D
or 3-D hydrodynamic model which is beyond the scope of this study.
Nevertheless, we believe that the implemented procedure represents a
satisfactory description of convection and convective mixing in the
context of a TNR in a classical nova. Fourth, the luminosity due to
accretion was not included in the models. Fifth, and probably most
importantly, while the most up-to-date reaction rates were used at the
time of the calculations, some of the rates particularly relevant to
26 Al production were uncertain. More accurate reaction
rates have been published recently by Herndl et al. (1995). Very
recent calculations similar to Politano et al. (1995) have been
performed by Starrfield et al. (1996) using the newer rates. A
comparison for a 1.25 WD sequence suggests that
the 26 Al mass fraction may be reduced by as much as a
factor of , although one must be careful in
making a direct comparison since other factors (e.g., opacities, WD
temperature) were also varied.
2.2. A parameterized production function
In view of these uncertainties, we wish to investigate the
importance of each of the factors ,
, and individually for
the predicted overall Galactic 26 Al production. To do
this, we consider an artificial production function similar to (1),
but containing adequately chosen free parameters. The first free
parameter is the absolute calibration of the
standard model. Since this represents only an overall scaling factor,
its actual value has no influence on our differential study, and for
consistency we simply use the same value as in (1), i.e.,
. From the considerations in the previous
section, we expect that any production function obeys similar
differential trends as expressed in Eqs. (3)-(5), i.e. that
decreases with increasing WD mass, increases
with increasing accretion rate, and that
reaches a maximum value for an intermediate degree of envelope/core
mixing values ( in the vicinity of
). Hence, we adopt
![[EQUATION]](img58.gif)
as a generalized form for , with
as a free parameter. The functional dependence
expressed in (3) corresponds roughly to ; in
Sects. 4 and 5 we vary , the steepness of
the decrease in with increasing WD mass, from 0
to 8.
To find a generalized , we first note that
within standard models for CV evolution the mean mass transfer rate in
CVs is in the range for long-period systems
above the so-called CV period gap ( h),
and for short-period CVs below the gap
( h; see e.g., Kolb 1993a). If the
accretion rate is on the average the same as the transfer rate, then
(4) suggests that the contribution of systems below the gap is
negligible. Detailed population models (see the discussion in
Sect. 5.1) with the production function derived in Sect. 2.1
confirm this expectation. Assuming the same property for the
generalized , we use the expression
![[EQUATION]](img66.gif)
with as a free parameter. Eq. (4) is
equivalent to . In Sects. 4 and 5, we
explore the influence of , which measures how
steeply increases with increasing accretion
rate, on our results as is varied between 0 and
8.
Finally, we note that plays no role in the
differential comparison presented below. We assume that
has a fixed value, , for
a given nova population model (i), and the amount of
26 Al produced scales linearly with
.
Results of model computations using this generalized production
function are shown in Sect. 4 and discussed in
Sect. 5.2.4.
© European Southern Observatory (ESO) 1997
Online publication: July 3, 1998
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