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Astron. Astrophys. 350, 349-367 (1999)
4. Alternative star formation scenarios
4.1. High extinction models
There are several claims that an extinction
=0.1, as estimated by Madau (1998)
and used here, is too low. Meurer et al. (1997) use the ratio between
the far-IR and UV fluxes as a probe of the dust extinction in a
galaxy, and find that the high redshift UV dropout galaxies may have a
UV absorption of 2-3 mag. Using ISO observations of the HDF,
Rowan-Robinson et al. (1997) estimate that only a third of the star
formation is revealed by the UV-luminosity, with the rest shrouded by
dust. Observations with SCUBA at 850 µm (Hughes et al.
1998; Smail et al. 1997) also indicate that a large fraction of the
early star formation is hidden by dust. Several other estimates, based
on observations of high-z galaxies (eg. Sawicki & Yee 1998;
Ellingson et al. 1996; Soifer et al. 1998), support a higher
extinction of 0.3. Observations of
the far-infrared extragalactic background (Burigana et al. 1997) also
seem consistent with a higher extinction.
With an extinction of 0.3 it is
likely that the observed peak in the SFR derived from UV-luminosities
is illusive, and that the star formation history is compatible with a
more constant rate, as in a monolithic collapse scenario (e.g., Larson
1974; Ortolani et al. 1995). In this model galaxy formation is thought
to have occurred during a relatively short epoch at high redshift,
5. This yields a SFR that increases
from z = 0 to 1.5 and then
stays almost constant up to 5. A SFR
of this form may be compatible also with a hierarchical model, as
shown in a recent paper by Somerville & Primack (1998).
It should be noted that although there is much in favor for models
with a flat SFR to 5, they tend to
over-predict the metallicity in the region
2-3, compared to estimates from
damped Lyman- systems (Blain et al.
1999; Madau et al. 1998b; Pei et al. 1998). These models also seem to
over-predict the local K-band luminosity (Madau et al. 1998b).
We have calculated the SFR and the resulting SNRs for this high
dust scenario by adjusting the observed UV luminosities of Lilly et
al. (1996) and Madau (1998) to an extinction
=0.3. We also increase the local SFR
in this model so that the observed B band luminosity density of Ellis
et al. (1996) is reproduced. The onset of star formation is set to
= 5, while at even higher redshifts
the SFR declines quickly. In Sect. 4.3 we comment on how higher values
of affect the estimated rates. For
the normalization of the type Ia's at z = 0, we assume that the
increase in the intrinsic local B-band luminosity density should lead
to an increase in the Type Ia rate by approximately the same amount.
In Fig. 7 we show this SFR and the intrinsic SNR for both core
collapse SNe and Type Ia SNe, assuming
= 1 Gyr (dashed lines).
![[FIGURE]](img175.gif) |
Fig. 7. Intrinsic SNRs for the three different models. Solid lines show the hierarchical model with = 0.1, dashed lines show the high dust model with = 0.3 and flat SFR at high z, and dotted lines show the model with = 0.1 and a flat SFR at high z. Upper lines show the rates of core collapse SNe. These scale directly with the SFR, given on the right axis. Lower lines show the rate of Type Ia, for = 1.0 Gyr model for each of the SFR models.
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4.2. Low extinction models
The model above combines a high star formation at high redshifts
with a high extinction in order to match the same observed luminosity
densities. Another alternative scenario is an increased SFR at high
z, but a low extinction, as in the original hierarchical model.
Evidence for such a scenario come from Pascarelle et al. (1998), who
calculate the evolution of the UV luminosity density up to
6 from
1000 galaxies with photometric
redshifts in the HDF. Taking the effects of cosmological surface
brightness dimming into account and using a limiting surface
brightness independent of redshift, they argue that the claimed UV
luminosity density decrease at is
mainly caused by a selection effect. Further, Hu et al. (1998) show
that an increasing fraction of the total SFR at high redshift takes
place in Ly emitters, and find that
the fraction at 3 may be comparable
to that derived from the dropout galaxies. Most of these objects would
not show up in a survey such as the HDF, due to their low surface
brightness. There is, however, no reason why SNe in these galaxies
should not be detectable, especially since the authors argue that the
extinction in these objects should be low.
To mimic this scenario we have constructed a SFR with low
extinction, =0.1, that increases
like the hierarchical model up to
1.5, but stays flat at higher redshifts up to a formation redshift,
= 5. The normalization of the Type
Ia's at z = 0 is the same as in the hierarchical model. This
SFR and corresponding SNRs are shown in Fig. 7 as the dotted line.
4.3. Results for alternative dust and star formation models
We have repeated our calculations in Sect. 3 for the two additional
scenarios described above. In the optical filters (probing rest-frame
UV to optical), the increased SFR in the high dust model is mostly
compensated for by higher extinction, resulting in observed rates that
are only 10% above those in the
hierarchical scenario. The NIR filters (probing rest-frame optical to
NIR) are less affected by extinction, which leads to a factor
2 higher rates in the high dust
model, compared to the hierarchical model. The estimates differ even
more when comparing high redshift subsamples, i.e. when
2 is observed. This illustrates
that the observed SNR may serve as an independent probe for the
instantaneous SFR that is not subject to the same high uncertainty due
to the unknown amount of dust extinction as the UV-luminosity is.
For comparatively bright limiting magnitudes, that do not probe SNe
above the proposed peak in the hierarchical scenario, the two models
with =0.1 give, by construction, the
same result. Observations must reach SNe at
2 before the rates start to
differ.
Except for the rare Type IIn's, a SN at peak magnitude at
2 has
, making NGST necessary for this
type of observations. As an illustration, Table 3 shows to what
extent rates of core collapse SNe are useful to constrain the SFR at
high redshifts. For core collapse SNe with
2, NGST should detect
3 and
2 times higher rates for the
high-dust-flat-SFR model and the low-dust-flat-SFR model,
respectively, compared to the hierarchical model. At
4 these factors are
5 and
4.
![[TABLE]](img185.gif)
Table 3. Estimated number of core collapse SNe per sq. arcmin in the M´ and K´ band for different SFR and dust models. N(tot) gives the total number of SNe, while the other columns gives the number of SNe with a redshift above different specified values. The two models with flat SFR at high z has a formation redshift = 5, except in the two rightmost columns where the formation redshift is set to = 7 and = 10, respectively.
Due to the short time interval between formation and explosion in
the case of core collapse SNe the choice of formation redshift enters
only for observations that are deep enough to actually probe
. Table 3 shows the variation of
the estimated number of core collapse SNe with
5 in the two models with flat SFR
as is changed from
= 5 to
= 7 and
= 10. Note that more than 10% of the
SNe in the M´ band have a redshift
5 in these models, compared to
2% in the hierarchical model.
Our calculations show a modest increase in the number of Type Ia's
for the high dust scenario, compared to the hierarchical scenario, at
magnitudes brighter than 25. At
magnitudes corresponding to 1, the
differences are considerably larger. This is also true for the
scenario with flat high-z SFR and low extinction, but the
increase is modest, and it does not start before
1.5 As an illustration, Fig. 8 shows
for the = 1 Gyr model that for
, the number of Type Ia SNe
increases by a factor 2 for the two
models with flat SFR at high z, compared to the hierarchical
model. Including the full range of
and different star formation scenarios, the NGST should detect between
5-25 Type Ia SNe per field in the K´ band. For the ground based
limit, IAB = 27, the number of Type Ia SNe increases
by a factor 1.4-1.9 for the high dust scenario, and a factor 1.0-1.8
for the low dust scenario with flat SFR (smaller increase for lower
values of ).
![[FIGURE]](img191.gif) |
Fig. 8. Redshift distribution for core collapse and Type Ia SNe observed to =31 for the three different SFR models. Results for core collapse SNe are shown in the left panel, while the right panel shows the results for Type Ia SNe with =1.0 Gyr. Note the different scales on the y-axis.
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If is long, stars formed at early
cosmological epochs may survive until low redshifts before ending as
Type Ia SNe. Therefore, the increased star formation at high redshifts
in the two constant SFR models makes the rate of Type Ia SNe sensitive
to the assumed formation redshift, .
The choice of affects the SNR down
to a redshift z, corresponding to a time
. Increasing
to
5 increases the rates at
2.7,
2.0 and 1.0 for
= 0.3, 1 and 3 Gyr, respectively.
For example, with = 1 Gyr the
high-z cutoff in the Type Ia rate occurs at
2.5 for the two models with flat SFR
and = 5 (see Fig. 7). With
= 7 and
= 10 the cutoff in the rates moves
to 3.0 and
3.4, respectively. This effect is
larger for smaller values of .
As earlier mentioned, a further possibility that may increase the
predicted counts of core collapse SNe is if the first SNe and their
progenitors sweep away the dust, making the extinction lower for a
large fraction of the SNe relative to the stars that produce the UV
luminosity. We have studied this scenario by simply neglecting the
extinction of the SNe in the two models with
= 0.1 (not included in
Table 3). The main difference occurs for the optical bands, where
the effect of a lower extinction is largest. In the I band the counts
increase by a factor 2, whereas the
counts increase by a factor 1.4 in
the K´ band for limits . At
fainter K´ limits, i.e. reaching beyond the peak region, the
differences decrease because a majority of all SNe is detected in both
models, despite the different amount of absorption. For
= 31.4 the increase is therefore
only 10%.
© European Southern Observatory (ESO) 1999
Online publication: October 4, 1999
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