A&A 431, 423-431 (2005)
DOI: 10.1051/0004-6361:20041630
M. Stritzinger1 - B. Leibundgut2
1 - Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Str. 1,
85741 Garching bei München, Germany
2 -
European Southern Observatory, Karl-Schwarzschild-Str. 2, 85748
Garching bei München, Germany
Received 9 July 2004 / Accepted 23 October 2004
Abstract
By coupling observations of type Ia supernovae with results
obtained from the best available numerical models we constrain the Hubble
constant, independently of any external calibrators. We find an absolute
lower limit of H0 > 50
.
In addition, we construct a Hubble
diagram with UVOIR light curves of 12 type Ia supernovae located in the
Hubble flow, and when adopting the most likely values (obtained from 1-D
and 3-D deflagration simulations) of the amount of
produced
in a typical event, we find values of H0
66
8
and
78
9
,
respectively.
Our result may be difficult to reconcile with recent discussions in
the literature as it seems that an Einstein-de Sitter universe
requires H0
46
in order to fit the
temperature power spectrum of the cosmic microwave background
and maintain the age constraints of the oldest stars.
Key words: cosmology: cosmological parameters - stars: supernovae: general
Due to their high intrinsic luminosity and apparent uniformity, type Ia supernovae (hereafter referred to as SNe Ia) have become an important distance indicator in modern cosmology. Today, they are utilized to determine the value of the Hubble constant (H0) and measure the changes of the past cosmic expansion. For this reason a number of substantial observing campaigns have recently been conducted for SNe Ia at nearby redshifts (see Leibundgut 2000, for a list). As a result there is now a considerable number of events available with superb temporal and photometric coverage. However, there has been little effort made to use these high quality data sets to link observations with the physics of SNe Ia in a systematic way. The purpose of this article is to combine results obtained from theoretical models with modern data in order to constrain the value of H0.
Prior attempts to couple observations with explosion models of SNe Ia in order
to determine the value of H0 include the pioneering
investigations of Arnett et al. (1985), followed by Branch (1992), Leibundgut & Pinto (1992),
Nugent et al. (1995) and Höflich & Khokhlov (1996).
These works gave promising results, constraining the Hubble
constant between 45
H0
105
,
and revealed
that with few assumptions, SNe Ia used in such a manner provide an
attractive way to measure H0, while circumventing many problems
associated with the extragalactic distance ladder (see Livio et al. 1997; Böhm-Vitense 1997).
Although several progenitor models for SNe Ia are discussed, the common
view favors an accreting carbon oxygen (C-O) white dwarf in a binary
system, which undergoes thermonuclear incineration at or near the
Chandrasekhar mass (for reviews
see Arnett 1996; Woosley & Weaver 1986; Hillebrandt & Niemeyer 2000). The energy released from
burning to nuclear statistical equilibrium (NSE) at the density and
temperatures expected in these explosions completely disrupts the C-O white dwarf, while the subsequent light curve is powered by the
Comptonization or "thermalization'' of
rays produced from the
radioactive decay of 56Ni
56Co
56Fe.
The single degenerate model became favored over the double
degenerate model after strong H
emission
was observed in SN 2002ic (Hamuy et al. 2003). The H
emission
in this SN Ia is thought to come from circumstellar material
originating from the white dwarf's evolved companion star (Nomoto et al. 2004; Hamuy et al. 2003).
Here we use bolometric light curves of SNe Ia as a means to link
observations with results obtained from models of an exploding C-O white
dwarf. Bolometric light curves constructed from observations provide a
simple and direct route to probe the complicated explosion physics and
radiation transport. As it is typically more straightforward to extract
the total flux (hence luminosity) of a SN Ia from models rather than
the flux for individual filters, which require complicated multi-group
calculations (Leibundgut 2000; Leibundgut & Pinto 1992; Eastman 1997; Höflich 1997)
bolometric light curves provide a sorely needed tool to connect
observations with models. In addition, observed bolometric light curves
are easily constructed from the integration of broad-band photometry, and
near maximum light they reflect the fraction of
rays thermalized.
Consequently
80% or more
(Suntzeff 1996,2003) of the thermalized flux from the
rays is emitted at optical and near-infrared wavelengths
(3000-10 000 Å), therefore what we manufacture from the observed
photometry has been coined a UVOIR bolometric light curve.
It must be noted that by neglecting the small amount of flux
outside the UVOIR wavelength regime we introduce a systematic
underestimation on the calculated values of H0. However, we
address this systematic error when placing constraints on H0 (see below).
The summed UVOIR flux also offers the advantage that we do not need to apply
any K-corrections, which are necessary when just using individual filter
passbands of SNe Ia located in the Hubble flow. Essentially, we can
reduce the problem to one of energy balances where the energy inputs
from the radioactive decays and the losses due to
ray escape
can be compared to the observed wavelength-integrated flux of the SN Ia.
In the following we utilize a set of well observed SNe Ia to demonstrate,
via two methods, (see below Sects. 4 and 5)
that - under the assumption that SNe Ia are a product of the thermonuclear
disruption of a Chandrasekhar-mass C-O white dwarf - it proves to be
rather difficult to obtain a value of H0 < 50
.
Our
results, along with recent detection of the integrated Sachs-Wolfe (ISW)
effect (Boughn & Crittenden 2004a,b) observed in the Wilkinson Microwave
Anisotropy Probe (WMAP) data, (Bennett et al. 2003; Spergel et al. 2003) cast doubts on
recent discussions in the literature
(see Shanks 2004; Blanchard et al. 2003), which suggest "alternatives'' to
the concordance cosmological model. Spatially flat, matter-dominated
Einstein-de Sitter models may produce a temperature power spectrum that
can fit cosmic microwave background (CMB) observations just as accurately
as the best concordance model, which sports a dark energy
component. However, Einstein-de Sitter models require very low values of
the Hubble constant (e.g. H0
46
)
and are unable
to account for the observed ISW effect.
The structure of this paper is as follows: in Sect. 2 we briefly
discuss the basic details and information that we can extract from a
UVOIR/bolometric light curve. This is followed by a short discussion of
the data we have compiled and the method with which we construct our
UVOIR light curves. In Sect. 3 we discuss different models of SNe Ia and
the
yields we adopt for a typical SN Ia. We then present in
Sect. 4 a method to derive H0 through the
combination of observations and the theoretical
masses
calculated in explosion models. Section 5 contains a
discussion of the classical way to derive H0 through the
Hubble diagram of SNe Ia. Contrary to previous methods we employ here
the bolometric flux. We conclude in Sect. 6.
Here we provide a basic description of a typical UVOIR light curve and
the physics that is thought to be driving its evolution and specific
characteristics at different epochs. During maximum light the dynamical
time (i.e. time since explosion) is approximately equal to the diffusion
time for photons trapped within the ejecta. This causes a reduction in
the opacity, which then allows a larger fraction of photons to escape
the expanding ejecta (Pinto & Eastman 2001). The majority of the observable
supernova flux is emitted in the optical, however, after maximum light an ever
increasing fraction of
rays escape freely and no longer deposit
their energy in the ejecta. They are lost in the energy balance.
In addition, due to a lack of near-infrared
(JHK-passbands) data, we neglect a small contribution of flux
(no more than
5% near maximum light) in our constructed
UVOIR light curves (Contardo 2001). Right after maximum light as both the
-ray deposition rate and the temperature, hence opacity, decrease,
it is believed
that there is a release of "old'' photons, causing the observed luminosity
to briefly overshoot the energy input from radioactive decay.
After the release of stored energy the light curve declines in luminosity
until between 20 and 40 days after maximum light, where an inflection point
is seen in most events (see Suntzeff 1996 and Contardo et al. 2000).
After
60 days the bolometric light curve begins to follow a nearly
linear decline of 0.026
0.002 mag/day (Contardo et al. 2000) as the
energy input from radioactive decay decreases exponentially and less
energy is deposited by the
rays.
At this time the infrared contribution rises to around 10%
(Contardo et al. 2000). About a year after maximum
the nebula no longer traps any
rays and the UVOIR light
curve is completely powered by positrons (Milne et al. 1999).
With UVOIR light curves and accurate distances we are able to obtain a
measure of the total luminosity and, through application of Arnett's
Rule, the quantity of 56Ni produced from burning to NSE
(Arnett et al. 1985; Arnett 1982). Arnett's Rule simply states that during the
epoch of maximum light the luminosity of a SN Ia is equal to the
instantaneous energy deposition rate from the radioactive decays within
the expanding ejecta (see also Pinto & Eastman 2000b,a). This rule
has been utilized by Suntzeff (1996), Vacca & Leibundgut (1997),
Contardo et al. (2000), Strolger et al. (2002), and Candia et al. (2003) to
determine the amount of 56Ni produced in a number of SNe Ia. These
efforts have revealed that the explosions of SNe Ia do indeed produce
a range in the amount of 56Ni synthesized from
0.1
associated with the subluminous variety of SNe Ia to
1
for the most luminous ones.
We are now in the position to use UVOIR light curves of a
fair sample of well-observed SNe Ia to probe the explosion mechanism.
Hopefully in the near future it will be possible to place constraints on
models as they become more sophisticated.
In a subsequent paper we will provide a detailed
analysis of the bolometric light curves and derived
masses for a large
number of well observed SNe Ia.
As mentioned above, there are a number of past (and present) dedicated monitoring programs located around the world that have assembled large collections of SNe Ia data. Programs which we have used here include: the Calán/Tololo Survey (Hamuy et al. 1996c,1995), the Center for Astrophysics (Jha 2002; Riess et al. 1999a), and the Supernovae Optical Infrared Survey (SOIRS) (Hamuy et al. 2001).
We selected only SNe Ia located in the Hubble flow (
3000 km s-1)
with excellent
-band observations and that
contain at least two pre-maximum observations in most photometric bands. Four
of the SNe Ia compiled here include U-band photometry, and for those
events without U-filter observations
we added a correction (see below). At this stage, no corrections were
made to account for contributions by UV-flux blueward of the atmospheric
cutoff and near-infrared
-band photometry.
Table 1: Well-observed SNe Ia in the Hubble flow.
Table 1 lists all the SNe Ia (and references) we have used along with information pertaining to the amount of reddening that we have adopted for each event. Values listed for Galactic reddening were taken from the COBE dust maps of Schlegel et al. (1998), while host galaxy reddenings were procured from a variety of literature sources. To be as consistent as possible we used reddenings given in Phillips et al. (1999) for all SNe Ia that coincided with our sample. For those events not included in Phillips et al. (1999) we adopted values from the literature giving preference to those calculated via the Phillips method. The reddening for the host galaxy of SN 1999dq was taken from Riess et al. (2004).
Finally, in Table 1 we list the two observables that are employed to constrain H0. This includes the host galaxy recession velocity and the UVOIR bolometric flux at maximum light. Heliocentric velocities obtained from NED were converted to the CMB frame. As all SNe Ia listed in Table 1 are located in the Hubble flow, we assumed an error of 400 km s-1 for all velocities, in order to account for (random) peculiar motions. The uncertainties listed with the bolometric fluxes account for (1) a small measurement error, which is less than 5% and (2) the uncertainties associated with estimates of host galaxy extinction.
We construct UVOIR light curves in the same manner previously adopted by Vacca & Leibundgut (1997,1996), Contardo et al. (2000) and (). The reader is referred to these papers for a detailed discussion of this empirical fitting method and their previously attained results; here we briefly summarize the main points.
We attempt to fit SNe Ia photometry in a completely objective way. Data for each filter is fitted with a ten parameter function. This function consists of a Gaussian, corresponding to the peak phase on top of a linear decline for the late time decay, an exponentially rising function for the initial rise to maximum, and a second Gaussian for the secondary maximum in the VRI light curves. Fitting photometry in this manner is advantageous because a continuous representation of the light curves is produced without resorting to templates that may wash out subtleties of each filtered light curve. The ten fitted parameters and several other interesting quantities can be used to explore the finer details of SNe Ia light curves (see Stritzinger 2005; Contardo 2001).
To produce a UVOIR light curve we first fit the light curve of each
passband. Each magnitude is then converted to its corresponding flux at
the effective wavelength and a reddening correction is applied. The flux
for each filter at a given epoch is then integrated over wavelengths to
get the total flux. Note, corrections are employed to account for
overlaps and gaps between passbands. We also included a compensation in
a manner similar to Contardo et al. (2000) for those SNe Ia that have no
U-band photometry. Contardo et al. used a correction based on
SN 1994D (Patat et al. 1996; Richmond et al. 1995; Meikle et al. 1996; Smith et al. 2000), however, this
event had an unusually blue color at maximum and corrections based on it
tend to overestimate the fraction of flux associated with the U-band
photometry. We instead employed a correction derived from SN 1992A
(Suntzeff 1996), which is the only well observed normal SN Ia
with no host galaxy reddening. We estimate an additional 2
error is
incurred on each UVOIR light curve that has our U-band correction.
A key ingredient for the methods presented below (see Sects. 4
and 5) is the amount of
produced in a typical
SN Ia explosion. Both methods depend on the total energy radiated by the
supernova to establish its distance.
Contardo (2001) showed for a small sample of SNe Ia that
up to a factor of 10 difference in the yield of
can exist between
individual events. An absolute upper
limit for the amount of
synthesized is the Chandrasekhar mass
(
1.4
), when the star becomes unstable and either
collapses or explodes.
However, due to the presence of intermediate mass elements (IMEs)
observed in spectra taken near maximum light, we know that the white
dwarf is not completely burned to
.
A lower limit is provided
by the subluminous events. Although only a few of these SNe Ia have
been observed in detail (due to selection effects) three well
observed events indicate
0.10
of
is synthesized
(Stritzinger 2005).
To obtain a more quantitative value we turn our attention to recent
nucleosynthesis calculations performed at the Max-Planck-Institut für
Astrophysik (MPA) (Travaglio et al. 2004), which are based on 3-D Eulerian
hydrodynamical simulations (Reinecke et al. 2002a,b) of an
exploding white dwarf, that burns via a purely turbulent deflagration
flame
. Based on their highest resolution 3-D simulation (i.e. model b30_3d_768), which consisted of 30 "burning'' bubbles and a grid size
of 7683 for 1 octant of a sphere, Travaglio et al. found
the total yield of
to be 0.42
.
However, they found
that as the number of ignition spots is increased, more explosion energy is
liberated, which may lead to a larger yield of
.
The
number of these ignition spots is strictly dependent on the grid
resolution of the simulation, which is limited by the computational
facilities available. One may therefore expect a larger yield
of
as the computational power and hence grid resolution is
increased. In addition, more recent calculations that employ ignition
conditions representing a foam-like structure, consisting of
overlapping and individual bubbles, indicate that it may be possible to
liberate a larger fraction of nuclear energy as one employs
different ignition conditions (Röpke & Hillebrandt 2004).
We considered a range of results produced by other deflagration models
available in the literature, in particular the phenomenological
parametrized 1-D model - W7 (Nomoto et al. 1984). Recent nucleosynthesis
calculations show that W7 synthesizes 0.59
of
(Iwamoto et al. 1999). It must be noted, however, that 1-D models compared
to 3-D calculations are expected to provide a less realistic
representation of the physical processes that occur during thermonuclear
combustions because they do not properly model the turbulent flame
physics. Additionally, multidimensional effects are neglected which do
have an important influence on the flame propagation. Nevertheless, W7
is a well established model that can fit the observed spectra rather well
(Harkness 1991; Mazzali et al. 1995; Mazzali 2001) and has been used extensively over
the last two decades to investigate SNe Ia explosions.
Despite the success of deflagration models, they are currently unable to
account for the more luminous SNe Ia, and predict appreciable
amounts of unburned carbon, oxygen, and IMEs leftover in the inner ashes
of the ejecta, which has not yet been conclusively observed. These
shortcomings were the motivation for the delayed detonation models
(DDM) (Woosley & Weaver 1994; Khokhlov 1991; Höflich & Khokhlov 1996; Woosley 1990). In these models
the explosions starts as a deflagration flame until a transition
occurs, causing the flame
to propagate supersonically thus the explosion becomes a detonation.
Höflich (1995) provided a series of DDMs that range in
mass
between
0.34 and 0.67
.
His best fit model (M36) for
the well observed SN 1994D produces 0.60
of
.
The main
difference to the pure deflagration models is that DDMs contain an
additional free parameter that describes the local sound speed ahead of
the flame. This free parameter is not physically understood but is
essential to force the transition from deflagration to detonation.
Throughout the following analysis we adopt results from the highest
resolution MPA simulation and the 1-D model W7. Although these two models are
not meant to represent the complete range in observed luminosity
for the total population of SNe Ia, they produce results that are
illustrative of the majority of observed events. Both of these models
are not perfect and, as results shown below indicate, the MPA model may not be representative of the more luminous events. We take the
masses of these two models to be representative of a
fair fraction of observed SNe Ia.
As previously noted in Sect. 1, just after maximum light the observed luminosity is expected to be larger than the radioactive luminosity, as the ejecta becomes optically thin and
allows the release of stored UVOIR photons. At this epoch
the photosphere rapidly recedes into the ejecta, revealing deeper layers
of the progenitor allowing more spectral lines to radiate.
Branch (1992) (see his Table 1) conducted a survey of the best
numerical models at the time and found that the models which adequately
treat the time dependent nature of the opacity near maximum light
predict
(the ratio of energy radiated at the surface to the
instantaneous energy production by the radioactive decays) to be
slightly larger than unity. He concluded that
= 1.2
0.2
was the most applicable value and noted that the value of
appeared to be independent of the rise time.
The parameter
= 1.2
0.2 is nothing more than a correction factor
that is applied to the measured luminosity derived from the model
masses.
In the following, we take this parameter into account in our discussion
of the values of H0 determined from the models.
The
masses of 0.42 and 0.59
correspond to an energy
release after 19
3 days (the typical rise time of SNe Ia (Contardo et al. 2000))
of (8.40
1.26)
1042 erg s-1 and
(1.18
0.18)
1043 erg s-1, respectively. If we combine
the energy production with
= 1.2
0.2, the
luminosity is increased to (1.01
0.23)
1043 erg s-1
and (1.42
0.32)
1043 erg s-1. We note, however, that
radiation transport calculations based on two MPA 3-D simulations (Blinnikov,
private comm.) give the same value of
as calculated by Arnett's
more simple analytical models (i.e.
= 1).
Finally, we note that the value of
may vary for different
SNe Ia depending on the amount and distribution of radioactive isotopes,
i.e. the opacity, in the ejecta. If
= 1 occurs before bolometric maximum, one would expect a smaller amount of stored
photons. Therefore the luminosity would tend not to overshoot the
instantaneous energy deposition rate. However, if
= 1 occurs
after bolometric maximum, the light curve should in principle, be
broader and flatter.
In this section we derive a first analytic expression to constrain
H0 directly from model
masses.
This expression combines the UVOIR peak brightness of SNe Ia with
explosion models via Arnett's Rule (Arnett 1982).
First, we develop an analytic equation which uses a simple argument that
allows one to connect H0 with the amount of
produced in a SN Ia explosion.
This relation relies on the fact that H0 is defined as the
ratio of the local expansion velocity to the luminosity
distance, which in turn is obtained from the inverse square law for the
ratio of luminosity and the observed brightness. Therefore since the
luminosity of a SN Ia depends on the amount of
,
we can use the explosion
models as our guide to the absolute luminosity. Combining this with
both the measured brightness and recession velocity (or redshift) of any
particular event, we can derive a value for H0. The first
expression to constrain H0 therefore combines three elements:
(1) Hubble's law of local cosmic expansion; (2) the distance
luminosity relation; and (3) Arnett's Rule.
We combine Hubble's law, which is defined by
Substituting Eq. (4) into Eq. (3) we can relate
the luminosity to the mass of
via
(Eq. (5)), and then if we include the factors
that directly equate the luminosity with the
mass,
we obtain our final relation to calculate the Hubble constant
Uncertainties come from the rise time, which determines the
the peak luminosity, the uncertainty in
,
which depends on the
radiation escape from the explosion, and of course the amount of
synthesized in the explosion. Finally we note that our
mass is
"error free'' in the sense that the adopted value(s) for this parameter
(hence fiducial luminosities) are completely model dependent.
We now have an analytic form for H0 which is directly
connected to the
produced in the explosion. The other parameters
have to do with the radiation transport: the ratio of energy release to
energy input and the time between explosion and maximum luminosity.
![]() |
Figure 1:
Hubble constant as a function of
|
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In Fig. 1 we present results obtained using Eq. (8) for all SNe Ia listed in Table 1. For every supernova we show the derived H0, assuming that its
observed brightness would correspond to a given nickel mass
(in steps of 0.1
). The inverse
square-root dependence of H0 on the nickel mass is clearly
visible. The "1-
'' error bars that accompany each point account
for a recession velocity error of 400 km s-1, an
error associated with the reddening correction,
a measurement error of the flux (
5%), a 3 day error for
the assumed bolometric rise time, and a 2% error for those events that
have a U-band correction. Note that the most dominant error is
the uncertainty associated with the redshift due to peculiar velocities.
It is evident from this figure that for a given mass of
there
exists a range of possible values of H0.
This is what we expect owing to the fact that there are known intrinsic
differences between SNe Ia. Hence, if we (erroneously) assume a single
mass for all observed SNe Ia, we obtain a range of H0 values
as in Fig. 1.
Two SNe Ia (SN 1992bo and SN 1993H) are clearly situated below the rest
of the objects and are both known to be red events with
m15(B)= 1.69 (Hamuy et al. 1996c). Both also show evidence of weak
Ti features in their spectra (Phillips, private comm.).
Because the models we have adopted in this work were designed for
normal SNe Ia and these two events are subluminous in nature, we exclude
them in the following discussion; however, they are included in the Hubble
diagram (see Sect. 5)
.
Given the prediction of an explosion model, we can now read off the
preferred value of the Hubble constant. Naïvely, one would like to
take the mean of the distribution of the supernovae for a given
mass
and derive a Hubble constant. However, the natural scatter of
(Bowers et al. 1997; Contardo et al. 2000; Cappellaro et al. 1997) prevents us from doing this
because only one value is correct for a given event.
The best we can do now is to derive a lower limit for H0 by
associating the nickel masses with the faintest supernovae and hence
obtain an underestimate of the Hubble constant.
By choosing a
mass of 1
and associating it with
faint SNe Ia we clearly reach a lower limit for H0. Note
that the highest
mass derived from a SN Ia with a Cepheid distance
is 0.84
(Strolger et al. 2002).
The solid horizontal line in Fig. 1 indicates that
evidently more than 1
of
must be produced in a normal
SNe Ia explosion in order to obtain H0 < 50
.
Note that the two dotted vertical lines indicate our adopted
masses with
= 1.0.
For both cases an H0 of more than 50 km s-1 Mpc-1 is
favored. Only the two faint SNe Ia fall well below this value.
![]() |
Figure 2:
To highlight the absolute lower limit we derive on H0 we plot results
obtained with SN 1999aa (the least luminous of our 10 normal SNe Ia) with 1- |
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To obtain an absolute lower limit on H0, we present in Fig. 2
the least luminous normal event in our sample -
SN 1999aa - with 1-
and 3-
confidence levels. This SN Ia
produces values of H0 that are 9% below the mean determined
from all 10 normal events. For our adopted
masses with
= 1
we obtain a lower limit on H0 with SN 1999aa (3-
away
from the calculated values) to be
40
.
The dashed line in Fig. 2 illustrates the effect of
increasing
by 20%. We see that this gives us an additional
systematic uncertainty that would decrease H0 by 9%.
The change incurred on the Hubble constant lies directly on top of the
quoted lower 1
confidence level. Finally, we note
from Eq. (8) that by neglecting
10% of the flux
emitted outside of the optical, we systematically underestimate H0
by 5%.
We find that with white dwarfs as progenitors of SNe Ia it is very
difficult to obtain a value of H0 < 50
.
With
1
of
,
one could expect H0
60
.
Observations and models for the most luminous events indicate that no
more than 1
of
is produced. With our adopted
masses
(0.42
<
< 0.59
)
we find
from the 1-
error bars in Fig. 2
the Hubble constant to be constrain between 70
6
H0
83
7
.
The problem can, of course, also be inverted to derive a possible
range of
mass given a value of H0. This will be interesting to
constrain the
mass for models, should H0 be known to high
accuracy. For H0
70
we find from Fig. 1
a range in the amount of
produced in a SNe Ia explosion to be
0.5
<
<
.
With this method we determine H0 from the Hubble diagram in a
manner similar to what has been previously presented by
Tammann & Leibundgut (1990) and Leibundgut & Pinto (1992) (see also Phillips et al. 1999; Parodi et al. 2000; Sandage & Tammann 1993; Hamuy et al. 1996c, for similar
applications).
We note that this method is similar to the previous method,
however, here H0 is calculated in a more traditional manner.
An analytic expression to constrain H0 from our Hubble diagram is trivial
to derive from the distance luminosity relation. Solving Eq. (2) for
and then taking the logarithm of both sides, we obtain
![]() |
Figure 3: Hubble diagram of 12 SNe Ia in the Hubble flow. The negative logarithm of the UVOIR flux at maximum light is plotted against the logarithm of the recession velocity in the CMB frame. Error bars account for a peculiar velocity of 400 km s-1 and uncertainties associated with host galaxy reddening. |
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In Fig. 3 we present our Hubble diagram containing all
SNe Ia listed in Table 1. Error bars for all events account
for both a redshift uncertainty of 400 km s-1 and the uncertainties
associated with host galaxy reddening.
A weighted least-squares fit to the Hubble diagram (for all 12 SNe Ia), with
a fixed slope of 2, yields b = 3.292
0.047.
Plugging this into Eq. (12)
along with our adopted
masses of 0.42
and 0.59
we find H0 to be
85
7 and
72
6
(1-
error) respectively. Accounting for
= 1.2
0.2
we obtain lower values of the Hubble constant to be H0
78
9 and
66
8
,
respectively.
As an upper limit in the amount of
synthesized in the most luminous SNe Ia
explosion is expected to be
1
,
we can use the
corresponding luminosity as a guide to obtain a lower limit
on the Hubble constant through the Hubble diagram. Thus, for 1
of
and
= 1 we obtain a value of H0
55
5
.
As in the previous method, we are underestimating H0 by
5%, due to flux outside the optical window.
Under the main assumptions: (1) that the progenitors of SNe Ia are C-O
white dwarfs that explode at or near the Chandrasekhar mass; and (2) that
the amount of
synthesized to first order determines the peak
luminosity, we are able to use results obtained from state-of-the-art
numerical simulations of explosion models to uniquely define the
bolometric peak luminosity, and in concert with photometric observations
constrain H0. The
attractiveness of this approach stems from the ability to bypass
assumptions that are typically made when one attempts to determine
H0, i.e. the extragalactic distance ladder and its accumulation
of error from rung to rung. We stress
that our fitting method does not add any corrections to the data. In
other words we do not normalize the flux to any decline rate
relation (e.g.
m15 (Phillips et al. 1999), MLCS
(Riess et al. 1996) or stretch (Perlmutter et al. 1997)).
Uncertainties that marginally affect (in decreasing order of importance)
our results include: the abundances of peak Fe group metals - stable
and radioactive - produced in the explosion models, the redshift peculiar
velocities of each SN Ia, the total absorption, the assumed rise time to bolometric maximum,
the exact nature of
,
which may slightly vary from SN to SN depending
on the exact nature of the opacity and ionization structure of the expanding
ejecta, and the amount of flux that we neglect outside of the optical window.
It is still unclear what parameters effect the amount of
produced
in a SN Ia explosion. Obvious candidates are the initial conditions
prior to explosion. These include the metallicity of the C-O white dwarf,
the central density and the ignition mechanism. If there is a
considerable fraction of alpha elements such as 22Ne within the
progenitor one would expect more stable isotopes such as 58Ni and
54,56Fe to be produced from burning to NSE, thus reducing the
yield
(e.g. Brachwitz et al. 2000). A higher central density on the other
hand would lead to a more robust explosion and hence an increased amount
of
.
As discussed earlier the explosion mechanism is still uncertain
and different deflagration and detonation scenarios produce different
amounts of peak Fe group elements. Nevertheless with a larger
mass
we obtain smaller values of H0. Errors attributed to the adopted
recession velocity and reddenings produce scatter in our Hubble diagram but
have very little effect on our calculations of H0 via
Eqs. (8) or (12). The
3 day
departure from our adopted rise has no more than a 10% effect
on our calculations. A change in
by
20% can affect H0 by 9%. Finally, we reiterate from Eq. (8)
that by neglecting
10% of the flux emitted outside of the optical,
we are underestimating H0 by at least 5% or correspondingly
more if more flux is unaccounted in our method.
In Sect. 5.1 we determined a rather high value (85
)
for the Hubble constant when using results from the MPA model. This
indicates that the amount of
produced in these 3-D deflagration
simulations currently are on the low side. And indeed
a large sample of SNe Ia show that the average distribution of
mass is
slightly higher (
0.6
)
(Stritzinger 2005). This suggests that their models may need more fine tuning
in order to produce a larger amount of
,
and hence match observations more accurately.
There have been many attempts since Kowal (1968) presented his Hubble
diagram to exploit SNe Ia to determine H0. We refer the reader
to Branch (1998) for a detailed review of previous works
that attempt to calculate H0 based on
SNe Ia. He concluded, from methods based on physical considerations
similar to the methods presented in this work and methods which utilize
SNe Ia that have been independently calibrated by Cepheids, a range in
the Hubble constant of 54
H0
67
,
with a
"consensus'' on H0 = 60
10
.
More recent
investigations of Suntzeff et al. (1999) and Jha (2002) give values of
H0 = 64
.
Finally, Freedman et al. (2001), Spergel et al. (2003), and Altavilla et al. (2004) have all measured slightly
larger values of H0
70
with 10% accuracy.
Another method independent of the extragalactic distance ladder which
combines X-ray imaging of galactic clusters with the Sunyaev-Zel'dovich
effect (SZE) has been recently used to place limits on H0(Reese et al. 2002; Mason et al. 2001; Myers et al. 1997; Jones et al. 2003). These works have provided the
detailed study of 41 clusters giving distances which yield an averaged
value of H0
61
3
(for a review
see Reese 2003).
We find from both methods presented here that the Hubble constant must
be >50
in order to be compatible with current supernova models.
In addition, we stress that this lower limit is based on the assumption
that 1
is an upper limit on the amount of
produced in a SN Ia explosion, and not from our adopted models. This result, along with other methods to measure H0 using SNe Ia
calibrated with Cepheids, SZE/X-ray distances and evidence of the ISW effect, strongly suggest that we do not live in a matter dominated universe without some form of cosmological constant or similar agent.
Acknowledgements
We thank the anonymous referee for many helpful comments that significantly improved the presentation of this paper. M.S. acknowledges the International Max-Planck Research School on Astrophysics for a graduate fellowship. M.S. is grateful for helpful conversations with Sergei Blinnikov, Wolfgang Hillebrandt, Gert Hütsi, Kevin Krisciunas, Paolo Mazzali, Friedrich Röpke, and Stefanie Walch. Special thanks to Nick Suntzeff for his hospitality, strong mentorship, and access to SN 1992A data. This research has made use of the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.