scispace - formally typeset
Open AccessJournal ArticleDOI

Measurements of Omega and Lambda from 42 High-Redshift Supernovae

Reads0
Chats0
TLDR
In this paper, the mass density, Omega_M, and cosmological-constant energy density of the universe were measured using the analysis of 42 Type Ia supernovae discovered by the Supernova Cosmology project.
Abstract
We report measurements of the mass density, Omega_M, and cosmological-constant energy density, Omega_Lambda, of the universe based on the analysis of 42 Type Ia supernovae discovered by the Supernova Cosmology Project. The magnitude-redshift data for these SNe, at redshifts between 0.18 and 0.83, are fit jointly with a set of SNe from the Calan/Tololo Supernova Survey, at redshifts below 0.1, to yield values for the cosmological parameters. All SN peak magnitudes are standardized using a SN Ia lightcurve width-luminosity relation. The measurement yields a joint probability distribution of the cosmological parameters that is approximated by the relation 0.8 Omega_M - 0.6 Omega_Lambda ~= -0.2 +/- 0.1 in the region of interest (Omega_M <~ 1.5). For a flat (Omega_M + Omega_Lambda = 1) cosmology we find Omega_M = 0.28{+0.09,-0.08} (1 sigma statistical) {+0.05,-0.04} (identified systematics). The data are strongly inconsistent with a Lambda = 0 flat cosmology, the simplest inflationary universe model. An open, Lambda = 0 cosmology also does not fit the data well: the data indicate that the cosmological constant is non-zero and positive, with a confidence of P(Lambda > 0) = 99%, including the identified systematic uncertainties. The best-fit age of the universe relative to the Hubble time is t_0 = 14.9{+1.4,-1.1} (0.63/h) Gyr for a flat cosmology. The size of our sample allows us to perform a variety of statistical tests to check for possible systematic errors and biases. We find no significant differences in either the host reddening distribution or Malmquist bias between the low-redshift Calan/Tololo sample and our high-redshift sample. The conclusions are robust whether or not a width-luminosity relation is used to standardize the SN peak magnitudes.

read more

Content maybe subject to copyright    Report

THE ASTROPHYSICAL JOURNAL, 517 :565È586, 1999 June 1
1999. The American Astronomical Society. All rights reserved. Printed in U.S.A.(
MEASUREMENTS OF ) AND " FROM 42 HIGH-REDSHIFT SUPERNOVAE
S. PERLMUTTER,1 G. ALDERING,G.GOLDHABER,1 R. A. KNOP,P.NUGENT,P.G.CASTRO,2 S. DEUSTUA,S.FABBRO,3
A. GOOBAR,4 D. E. GROOM,I.M.HOOK,5 A. G. KIM,1,6 M. Y. KIM,J.C.LEE,7 N. J. NUNES,2 R. PAIN,3
C. R. PENNYPACKER,8 AND R. QUIMBY
Institute for Nuclear and Particle Astrophysics, E. O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720
C. LIDMAN
European Southern Observatory, La Silla, Chile
R. S. ELLIS,M.IRWIN, AND R. G. MCMAHON
Institute of Astronomy, Cambridge, England, UK
P. RUIZ-LAPUENTE
Department of Astronomy, University of Barcelona, Barcelona, Spain
N. WALTON
Isaac Newton Group, La Palma, Spain
B. SCHAEFER
Department of Astronomy, Yale University, New Haven, CT
B. J. BOYLE
Anglo-Australian Observatory, Sydney, Australia
A.VFILIPPENKO AND T. MATHESON
Department of Astronomy, University of California, Berkeley, CA
A. S. FRUCHTER AND N. PANAGIA9
Space Telescope Science Institute, Baltimore, MD
H. J. M. NEWBERG
Fermi National Laboratory, Batavia, IL
AND
W. J. COUCH
University of New South Wales, Sydney, Australia
(THE SUPERNOVA COSMOLOGY PROJECT)
Received 1998 September 8 ; accepted 1998 December 17
ABSTRACT
We report measurements of the mass density, and cosmological-constant energy density, of)
M
, )
"
,
the universe based on the analysis of 42 type Ia supernovae discovered by the Supernova Cosmology
Project. The magnitude-redshift data for these supernovae, at redshifts between 0.18 and 0.83, are Ðtted
jointly with a set of supernovae from the Supernova Survey, at redshifts below 0.1, to yieldCala
n/Tololo
values for the cosmological parameters. All supernova peak magnitudes are standardized using a SN Ia
light-curve width-luminosity relation. The measurement yields a joint probability distribution of the
cosmological parameters that is approximated by the relation in the region0.8)
M
[ 0.6)
"
B [0.2 ^ 0.1
of interest For a Ñat cosmology we Ðnd (1 p statistical)()
M
[ 1.5). ()
M
] )
"
\ 1) )
M
flat \ 0.28
~0.08
`0.09
~0.04
`0.05
(identiÐed systematics). The data are strongly inconsistent with a " \ 0 Ñat cosmology, the simplest
inÑationary universe model. An open, " \ 0 cosmology also does not Ðt the data well: the data indicate
that the cosmological constant is nonzero and positive, with a conÐdence of P("[0) \ 99%, including
the identiÐed systematic uncertainties. The best-Ðt age of the universe relative to the Hubble time is
Gyr for a Ñat cosmology. The size of our sample allows us to perform a variety oft
0
flat \ 14.9
~1.1
`1.4(0.63/h)
statistical tests to check for possible systematic errors and biases. We Ðnd no signiÐcant di†erences in
either the host reddening distribution or Malmquist bias between the low-redshift sampleCala
n/Tololo
and our high-redshift sample. Excluding those few supernovae that are outliers in color excess or Ðt
residual does not signiÐcantly change the results. The conclusions are also robust whether or not a
width-luminosity relation is used to standardize the supernova peak magnitudes. We discuss and con-
strain, where possible, hypothetical alternatives to a cosmological constant.
Subject headings: cosmology: observations È distance scale È supernovae: general
1 Center for Particle Astrophysics, University of California, Berkeley, California.
2 Instituto Superior Lisbon, Portugal.Te
cnico,
3 LPNHE, CNRS-IN2P3, and University of Paris VI and VII, Paris, France.
4 Department of Physics, University of Stockholm, Stockholm, Sweden.
5 European Southern Observatory, Munich, Germany.
6 PCC, CNRS-IN2P3, and de France, Paris, France.Colle
`
ge
7 Institute of Astronomy, Cambridge, England, UK.
8 Space Sciences Laboratory, University of California, Berkeley, California.
9 Space Sciences Department, European Space Agency.
565

566 PERLMUTTER ET AL. Vol. 517
1. INTRODUCTION
Since the earliest studies of supernovae, it has been sug-
gested that these luminous events might be used as standard
candles for cosmological measurements (Baade 1938). At
closer distances they could be used to measure the Hubble
constant if an absolute distance scale or magnitude scale
could be established, while at higher redshifts they could
determine the deceleration parameter (Tammann 1979;
Colgate 1979). The Hubble constant measurement became
a realistic possibility in the 1980s, when the more homoge-
neous subclass of type Ia supernovae (SNe Ia) was identiÐed
(see Branch 1998). Attempts to measure the deceleration
parameter, however, were stymied for lack of high-redshift
supernovae. Even after an impressive multiyear e†ort by
et al. (1989), it was only possible toNÔrgaard-Nielsen
follow one SN Ia, at z \ 0.31, discovered 18 days past its
peak brightness.
The Supernova Cosmology Project was started in 1988 to
address this problem. The primary goal of the project is the
determination of the cosmological parameters of the uni-
verse using the magnitude-redshift relation of type Ia super-
novae. In particular, Goobar & Perlmutter (1995) showed
the possibility of separating the relative contributions of the
mass density, and the cosmological constant, ",to)
M
,
changes in the expansion rate by studying supernovae at a
range of redshifts. The Project developed techniques,
including instrumentation, analysis, and observing stra-
tegies, that make it possible to systematically study high-
redshift supernovae (Perlmutter et al. 1995a). As of 1998
March, more than 75 type Ia supernovae at redshifts
z \ 0.18È0.86 have been discovered and studied by the
Supernova Cosmology Project (Perlmutter et al. 1995b,
1996, 1997a, 1997b, 1997c, 1997d, 1998a).
A Ðrst presentation of analysis techniques, identiÐcation
of possible sources of statistical and systematic errors, and
Ðrst results based on seven of these supernovae at redshifts
z D 0.4 were given in Perlmutter et al. (1997e; hereafter
referred to as P97). These Ðrst results yielded a conÐdence
region that was suggestive of a Ñat, " \ 0 universe but with
a large range of uncertainty. Perlmutter et al. (1998b) added
a z \ 0.83 SN Ia to this sample, with observations from the
Hubble Space Telescope (HST ) and Keck 10 m telescope,
providing the Ðrst demonstration of the method of separat-
ing and " contributions. This analysis o†ered prelimi-)
M
nary evidence for a lowÈmass-density universe with a
best-Ðt value of assuming " \ 0. Indepen-)
M
\ 0.2 ^ 0.4,
dent work by Garnavich et al. (1998a), based on three
supernovae at z D 0.5 and one at z \ 0.97, also suggested a
low mass density, with best-Ðt for " \ 0.)
M
\[0.1 ^ 0.5
Perlmutter et al. 1997f presented a preliminary analysis
of 33 additional high-redshift supernovae, which gave a
conÐdence region indicating an accelerating universe and
barely including a low-mass " \ 0 cosmology. Recent inde-
pendent work of Riess et al. (1998), based on 10 high-
redshift supernovae added to the Garnavich et al. (1998a)
set, reached the same conclusion. Here we report on the
complete analysis of 42 supernovae from the Supernova
Cosmology Project, including the reanalysis of our pre-
viously reported supernovae with improved calibration
data and improved photometric and spectroscopic SN Ia
templates.
2. BASIC DATA AND PROCEDURES
The new supernovae in this sample of 42 were all dis-
covered while still brightening, using the Cerro Tololo
Inter-American Observatory (CTIO) 4 m telescope with the
20482 pixel prime-focus CCD camera or the 4 ] 20482 pixel
Big Throughput Camera.10 The supernovae were followed
with photometry over the peak of their light curves and
approximately 2È3 months further (D40È60 days rest
frame) using the CTIO 4 m, Wisconsin-Indiana-Yale-
NOAO (WIYN) 3.6 m, ESO 3.6 m, Isaac Newton Telescope
(INT) 2.5 m, and the William Herschel Telescope (WHT) 4.2
m telescopes. (SN 1997ap and other 1998 supernovae have
also been followed with HST photometry.) The supernova
redshifts and spectral identiÐcations were obtained using
the Keck I and II 10 m telescopes with the Low-Resolution
Imaging Spectrograph (Oke et al. 1995) and the ESO 3.6 m
telescope. The photometry coverage was most complete in
Kron-Cousins R-band, with Kron-Cousins I-band photo-
metry coverage ranging from two or three points near peak
to relatively complete coverage paralleling the R-band
observations.
Almost all of the new supernovae were observed spectro-
scopically. The conÐdence of the type Ia classiÐcations
based on these spectra taken together with the observed
light curves, ranged from ““ deÐnite ÏÏ (when Si II features
were visible) to ““ likely ÏÏ (when the features were consistent
with type Ia and inconsistent with most other types). The
lower conÐdence identiÐcations were primarily due to host-
galaxy contamination of the spectra. Fewer than 10% of the
original sample of supernova candidates from which these
SNe Ia were selected were conÐrmed to be nonÈtype Ia, i.e.,
being active galactic nuclei or belonging to another SN
subclass; almost all of these nonÈSNe Ia could also have
been identiÐed by their light curves and/or position far from
the SN Ia Hubble line. Whenever possible, the redshifts
were measured from the narrow host-galaxy lines rather
than the broader supernova lines. The light curves and
several spectra are shown in Perlmutter et al. (1997e, 1997f,
1998b); complete catalogs and detailed discussions of the
photometry and spectroscopy for these supernovae will be
presented in forthcoming papers.
The photometric reduction and the analyses of the light
curves followed the procedures described in P97. The super-
novae were observed with the Kron-Cousins Ðlter that best
matched the rest-frame B and V Ðlters at the supernovaÏs
redshift, and any remaining mismatch of wavelength cover-
age was corrected by calculating the expected photometric
di†erenceÈthe ““ cross-Ðlter K-correction ÏÏÈusing template
SN Ia spectra as in Kim, Goobar, & Perlmutter (1996). We
have now recalculated these K-corrections (see Nugent et
al. 1998) using improved template spectra, based on an
extensive database of low-redshift SN Ia spectra recently
made available from the survey (Phillips et al.Cala
n/Tololo
1999). Where available, IUE and HST spectra (Cappellaro,
Turatto, & Fernley 1995; Kirshner et al. 1993) were also
added to the SN Ia spectra, including those published pre-
viously (1972E, 1981B, 1986G, 1990N, 1991T, 1992A, and
1994D: in Kirshner & Oke 1975; Branch et al. 1993; Phil-
lips et al. 1987; Je†ery et al. 1992; Meikle et al. 1996; Patat
et al. 1996). In Nugent et al. (1998) we show that the K-
corrections can be calculated accurately for a given day on
the supernova light curve and for a given supernova light-
10 Big Throughput Camera information is provided by G. Bernstein &
J. A. Tyson, 1998, at http://www.astro.lsa.umich.edu/btc/user.html.

No. 2, 1999 ) AND " FROM 42 HIGH-REDSHIFT SUPERNOVAE 567
curve width from the color of the supernova on that day.
(Such a calculation of K-correction based on supernova
color will also automatically account for any modiÐcation
of the K-correction due to reddening of the supernova; see
Nugent et al. 1998. In the case of insigniÐcant reddening the
SN Ia template color curves can be used.) We Ðnd that these
calculations are robust to mis-estimations of the light-curve
width or day on the light curve, giving results correct to
within 0.01 mag for light-curveÈwidth errors of ^25% or
light-curve phase errors of ^5 days even at redshifts where
Ðlter matching is the worst. Given small additional uncer-
tainties in the colors of supernovae, we take an overall sys-
tematic uncertainty of 0.02 mag for the K-correction.
The improved K-corrections have been recalculated for
all the supernovae used in this paper, including those pre-
viously analyzed and published. Several of the low-redshift
supernovae from the survey have relativelyCala
n/Tololo
large changes (as much as 0.1 mag) at times in their K-
corrected light curves. (These and other low-redshift super-
novae with new K-corrections are used by several
independent groups in constructing SN Ia light-curve tem-
plates, so the templates must be updated accordingly.) The
K-corrections for several of the high-redshift supernovae
analyzed in P97 have also changed by small amounts at the
light-curve peak mag] and somewhat[*K(t \ 0) [ 0.02
larger amounts by 20 days past peak [*K(t \ 20) [ 0.1
mag]; this primarily a†ects the measurement of the rest-
frame light-curve width. These K-correction changes
balance out among the P97 supernovae, so the Ðnal results
for these supernovae do not change signiÐcantly. (As we
discuss below, however, the much larger current data set
does a†ect the interpretation of these results.)
As in P97, the peak magnitudes have been corrected for
the light-curve width-luminosity relation of SNe Ia:
m
B
corr \ m
B
] *
corr
(s) , (1)
where the correction term is a simple monotonic func-*
corr
tion of the ““ stretch factor,ÏÏ s, that stretches or contracts the
time axis of a template SN Ia light curve to best Ðt the
observed light curve for each supernova (see P97; Perlmut-
ter et al. 1995a; Kim et al. 1999; Goldhaber et al. 1999; and
see Phillips 1993; Riess, Press, & Kirshner 1995, 1996
[hereafter RPK96]). A similar relation corrects the V -band
light curve, with the same stretch factor in both bands. For
the supernovae discussed in this paper, the template must
be time-dilated by a factor 1 ] z before Ðtting to the
observed light curves to account for the cosmological
lengthening of the supernova timescale (Goldhaber et al.
1995; Leibundgut et al. 1996a; Riess et al. 1997a). P97 cal-
culated by translating from s to (both describ-*
corr
(s) *m
15
ing the timescale of the supernova event) and then using the
relation between and luminosity as determined by*m
15
Hamuy et al. (1995). The light curves of the Cala
n/Tololo
supernovae have since been published, and we have directly
Ðtted each light curve with the stretched template method
to determine its stretch factor s. In this paper, for the light-
curve width-luminosity relation, we therefore directly use
the functional form
*
corr
(s) \ a(s [ 1) (2)
and determine a simultaneously with our determination of
the cosmological parameters. With this functional form, the
supernova peak apparent magnitudes are thus all
““ corrected ÏÏ as they would appear if the supernovae had the
light-curve width of the template, s \ 1.
We use analysis procedures that are designed to be as
similar as possible for the low- and high-redshift data sets.
Occasionally, this requires not using all of the data avail-
able at low redshift, when the corresponding data are not
accessible at high redshift. For example, the low-redshift
supernova light curves can often be followed with photo-
metry for many months with high signal-to-noise ratios,
whereas the high-redshift supernova observations are gen-
erally only practical for approximately 60 rest-frame days
past maximum light. This period is also the phase of the
low-redshift SN Ia light curves that is Ðtted best by the
stretched-template method and that best predicts the lumi-
nosity of the supernova at maximum. We therefore Ðtted
only this period for the light curves of the low-redshift
supernovae. Similarly, at high redshift the rest-frame
B-band photometry is usually much more densely sampled
in time than the rest-frame V -band data, so we use the
stretch factor that best Ðts the rest-frame B-band data for
both low- and high-redshift supernovae, even though at
low-redshift the V -band photometry is equally well
sampled.
Each supernova peak magnitude was also corrected for
Galactic extinction, using the extinction law of Cardelli,A
R
,
Clayton, & Mathis (1989), Ðrst using the color excess,
at the supernovaÏs Galactic coordinates pro-E(B[V )
SFÔD
,
vided by Schlegel, Finkbeiner, & Davis (1998) and thenÈ
for comparisonÈusing the value provided byE(B[V )
BÔH
D. Burstein & C. Heiles (1998, private communication; see
also Burstein & Heiles 1982). Galactic extinction, wasA
R
,
calculated from E(B[V ) using a value of the total-to-selec-
tive extinction ratio, speciÐc to eachR
R
4 A
R
/E(B[V ),
supernova. These were calculated using the appropriate
redshifted supernova spectrum as it would appear through
an R-band Ðlter. These values of range from 2.56 atR
R
z \ 0 to 4.88 at z \ 0.83. The observed supernova colors
were similarly corrected for Galactic extinction. Any extinc-
tion in the supernovaÏs host galaxy or between galaxies was
not corrected for at this stage but will be analyzed separa-
tely in ° 4.
All the same corrections for width-luminosity relation,
K-corrections, and extinction (but using wereR
B
\ 4.14)
applied to the photometry of 18 low-redshift SNe Ia
(z ¹ 0.1) from the supernova survey (HamuyCala
n/Tololo
et al. 1996) that were discovered earlier than 5 days after
peak. The light curves of these 18 supernovae have all been
reÐtted since P97, using the more recently available photo-
metry (Hamuy et al. 1996) and our K-corrections.
Figures 1 and 2a show the Hubble diagram of e†ective
rest-frame B magnitude corrected for the width-luminosity
relation,
m
B
eff \ m
R
] *
corr
[ K
BR
[ A
R
, (3)
as a function of redshift for the 42 Supernova Cosmology
Project high-redshift supernovae, along with the 18
low-redshift supernovae. (Here is theCala
n/Tololo K
BR
cross-Ðlter K-correction from observed R band to rest-
frame B band.) Tables 1 and 2 give the corresponding IAU
names, redshifts, magnitudes, corrected magnitudes, and
their respective uncertainties. As in P97, the inner error bars
in Figures 1 and 2 represent the photometric uncertainty,
while the outer error bars add in quadrature 0.17 mag of
intrinsic dispersion of SN Ia magnitudes that remain after

568 PERLMUTTER ET AL. Vol. 517
FIG. 1.ÈHubble diagram for 42 high-redshift type Ia supernovae from the Supernova Cosmology Project and 18 low-redshift type Ia supernovae from the
Supernova Survey after correcting both sets for the SN Ia light-curve width-luminosity relation. The inner error bars show the uncertainty dueCala
n/Tololo
to measurement errors, while the outer error bars show the total uncertainty when the intrinsic luminosity dispersion, 0.17 mag, of light-curveÈwidth-
corrected type Ia supernovae is added in quadrature. The unÐlled circles indicate supernovae not included in Ðt C. The horizontal error bars represent the
assigned peculiar velocity uncertainty of 300 km s~1. The solid curves are the theoretical for a range of cosmological models with zero cosmologicalm
B
eff(z)
constant: on top, (1, 0) in middle, and (2, 0) on bottom. The dashed curves are for a range of Ñat cosmological models: on()
M
, )
"
) \ (0, 0) ()
M
, )
"
) \ (0, 1)
top, (0.5, 0.5) second from top, (1, 0) third from top, and (1.5, [0.5) on bottom.
applying the width-luminosity correction. For these plots,
the slope of the width-brightness relation was taken to be
a \ 0.6, the best-Ðt value of Ðt C discussed below. (Since
both the low- and high-redshift supernova light-curve
widths are clustered rather closely around s \ 1, as shown
in Fig. 4, the exact choice of a does not change the Hubble
diagram signiÐcantly.) The theoretical curves for a universe
with no cosmological constant are shown as solid lines for a
range of mass density, 1, 2. The dashed lines)
M
\ 0,
represent alternative Ñat cosmologies, for which the total
mass energy density (where)
M
] )
"
\ 1 )
"
4 "/3H
0
2).
The range of models shown are for (0.5,()
M
, )
"
) \ (0, 1),
0.5), (1, 0), which is covered by the matching solid line, and
(1.5, [0.5).
3. FITS TO )
M
AND )
"
The combined low- and high-redshift supernova data sets
of Figure 1 are Ðtted to the Friedman-Robertson-Walker
(FRW) magnitude-redshift relation, expressed as in P97:
m
B
eff 4 m
R
] a(s [ 1) [ K
BR
[ A
R
\ M
B
] 5 log D
L
(z; )
M
, )
"
) , (4)
where is the ““ Hubble-constantÈfree ÏÏ lumi-D
L
4 H
0
d
L
nosity distance and log is theM
B
4 M
B
[ 5 H
0
] 25
““ Hubble-constantÈfree ÏÏ B-band absolute magnitude at
maximum of a SN Ia with width s \ 1. (These quantities
are, respectively, calculated from theory or Ðtted from
apparent magnitudes and redshifts, both without any need
for The cosmological-parameter results are thus alsoH
0
.
completely independent of The details of the ÐttingH
0
.)
procedure as presented in P97 were followed, except that
both the low- and high-redshift supernovae were Ðtted
simultaneously, so that and a, the slope of the width-M
B
luminosity relation, could also be Ðtted in addition to the
cosmological parameters and For most of the)
M
)
"
.
analyses in this paper, and a are statistical ““ nuisance ÏÏM
B
parameters; we calculate two-dimensional conÐdence
regions and single-parameter uncertainties for the cosmo-
logical parameters by integrating over these parameters, i.e.,
da.P()
M
, )
"
) \ // P()
M
, )
"
, M
B
, a)dM
B
As in P97, the small correlations between the photo-
metric uncertainties of the high-redshift supernovae, due to
shared calibration data, have been accounted for by Ðtting
with a correlation matrix of uncertainties.11 The low-
redshift supernova photometry is more likely to be uncor-
related in its calibration, since these supernovae were not
discovered in batches. However, we take a 0.01 mag system-
atic uncertainty in the comparison of the low-redshift
B-band photometry and the high-redshift R-band photo-
metry. The stretch-factor uncertainty is propagated with a
Ðxed width-luminosity slope (taken from the low-redshift
11 The data are available at http://www-supernova.lbl.gov.

No. 2, 1999 ) AND " FROM 42 HIGH-REDSHIFT SUPERNOVAE 569
FIG. 2.È(a) Hubble diagram for 42 high-redshift type Ia supernovae from the Supernova Cosmology Project and 18 low-redshift type Ia supernovae from
the Supernova Survey, plotted on a linear redshift scale to display details at high redshift. The symbols and curves are as in Fig. 1.Cala
n/Tololo
(b) Magnitude residuals from the best-Ðt Ñat cosmology for the Ðt C supernova subset, 0.72). The dashed curves are for a range of Ñat()
M
, )
"
) \ (0.28,
cosmological models: on top, (0.5, 0.5) third from bottom, (0.75, 0.25) second from bottom, and (1, 0) is the solid curve on bottom. The()
M
, )
"
) \ (0, 1)
middle solid curve is for Note that this plot is practically identical to the magnitude residual plot for the best-Ðt unconstrained cosmology()
M
, )
"
) \ (0, 0).
of Ðt C, with (c) Uncertainty-normalized residuals from the best-Ðt Ñat cosmology for the Ðt C supernova subset,()
M
, )
"
) \ (0.73, 1.32). ()
M
, )
"
) \
(0.28, 0.72).
supernovae; cf. P97) and checked for consistency after the
Ðt.
We have compared the results of Bayesian and classical,
““ frequentist,ÏÏ Ðtting procedures. For the Bayesian Ðts, we
have assumed a ““ prior ÏÏ probability distribution that has
zero probability for but otherwise has uniform)
M
\ 0
probability in the four parameters a, and For)
M
, )
"
, M
B
.
the frequentist Ðts, we have followed the classical statistical
procedures described by Feldman & Cousins (1998) to
guarantee frequentist coverage of our conÐdence regions in
the physically allowed part of parameter space. Note that
throughout the previous cosmology literature, completely

Citations
More filters
Journal ArticleDOI

Planck 2015 results - XIII. Cosmological parameters

Peter A. R. Ade, +337 more
TL;DR: In this article, the authors present a cosmological analysis based on full-mission Planck observations of temperature and polarization anisotropies of the cosmic microwave background (CMB) radiation.
Journal ArticleDOI

Planck 2013 results. XVI. Cosmological parameters

Peter A. R. Ade, +327 more
TL;DR: In this paper, the authors present the first cosmological results based on Planck measurements of the cosmic microwave background (CMB) temperature and lensing-potential power spectra, which are extremely well described by the standard spatially-flat six-parameter ΛCDM cosmology with a power-law spectrum of adiabatic scalar perturbations.
References
More filters
Journal ArticleDOI

Interstellar dust from the Milky Way to the Magellanic Clouds

TL;DR: In this article, the authors extend the graphite-silicate grain model from the Milky Way to the Magellanic Clouds and find that the empirical extinction curves in the Large and Small Magellan Clouds can be reproduced by adjusting only the relative abundances of graphite and silicate grains, while leaving all other model properties fixed to those appropriate for the Galactic extinction curve.
Journal ArticleDOI

Measurements of the Cosmological Parameters Omega and Lambda from the First 7 Supernovae at z >= 0.35

TL;DR: In this paper, a technique to systematically discover and study high-redshift supernovae that can be used to measure the cosmological parameters has been developed, based on the initial seven of >28 supernova discovered to date in the Supernova Cosmology Project.
Journal ArticleDOI

The cosmic baryon budget

TL;DR: In this article, the authors present an estimate of the global budget of baryons in all states, with conservative estimates of the uncertainties, based on all relevant information they have been able to marshal.
Related Papers (5)
Frequently Asked Questions (11)
Q1. What are the contributions in this paper?

The authors report measurements of the mass density, and cosmological-constant energy density, of ) M, ) '', the universe based on the analysis of 42 type Ia supernovae discovered by the Supernova Cosmology Project. The authors discuss and constrain, where possible, hypothetical alternatives to a cosmological constant. The authors Ðnd no signiÐcant di†erences in either the host reddening distribution or Malmquist bias between the low-redshift sample Cala n/Tololo and their high-redshift sample. 

Thus the universe may be Ñat or there may be little or no cosmological constant, but the data are not consistent with both possibilities simultaneously. 2. presented here and future complementary data sets will allow us to explore these possibilities. For their purposes here the authors wish to distinguish between the true probability distribution, P ( A ), and its estimated or assumed distribution, often called the Bayesian prior, which they denote as P ( A ). Third, even if the universe is not Ñat, the conÐdence regions of Figure 7 suggest that the cosmological constant is a signiÐcant constituent of the energy density of the universe. 

Since there is evidence that dynamical estimates of depend on scale, the most appropriate measures to) Mcompare with their result are those obtained on large scales. 

The consistency of slopes in the light-curve widthluminosity relation for the low- and high-redshift supernovae can also constrain the possibility of a strong metallicity e†ect of the type that et al. 

due to small-scale clumping of mass as a separate analysis case rather than as a contributing systematic error in their primary analysis ; the total systematic uncertainty applies to this analysis as well. 

at high redshift the rest-frame B-band photometry is usually much more densely sampled in time than the rest-frame V -band data, so the authors use the stretch factor that best 

In brief, in this method the Gaussian extinction probability distribution implied by the measured colorexcess and its error is multiplied by an assumed a priori probability distribution (the Bayesian prior) for the intrinsic distribution of host extinctions. 

Since there is a small dependence of intrinsic color on the light-curve width, supernova colors can only be compared for the same stretch factor ; for a more convenient analysis, the authors subtract out the intrinsic colors so that the remaining color excesses can be compared simultaneously for all stretch factors. 

The best-Ðt mass-density in a Ñat universe for Ðt A is, within a fraction of the uncertainty, the same value as for Ðt B, (see Table 3). 

The best Ðts for the age of the universe for these analyses are H0 t0\\and To Ðrst order, the Reiss et0.90~0.05`0.07 H0 t0\\ 0.98~0.05`0.07.al. 

If in fact the universe has a dominant energy contribution from a cosmological constant, there are two coincidences that must be addressed in future cosmological theories.