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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
A more general model for the intrinsic scatter in type Ia supernova distance moduli
Astrophysical Journal, Volume 740, No. 2, Article 72, Year 2011
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Description
We describe a new formalism to fit the parameters α and β that are used in the SALT2 model to determine the standard magnitudes of Type Ia supernovae (SNe Ia). The new formalism describes the intrinsic scatter in SNe Ia by a covariance matrix in place of the single parameter normally used. We have applied this formalism to the Sloan Digital Sky Survey Supernova Survey (SDSS-II) data and conclude that the data are best described by α = 0.135+.033-.017 and β = 3.19+0.14- 0.24, where the error is dominated by the uncertainty in the form of the intrinsic scatter matrix. Our result depends on the introduction of a more general form for the intrinsic scatter of the distance moduli of SNe Ia than is conventional, resulting in a larger value of β and a larger uncertainty than the conventional approach. Although this analysis results in a larger value of β and a larger error, the SDSS data differ (at a 98% confidence level) from β = 4.1, the value expected for extinction by the type of dust found in the Milky Way. We have modeled the distribution of SNe Ia in terms of their color and conclude that there is strong evidence that variation in color is a significant contributor to the scatter of SNe Ia around their standard candle magnitude. © 2011. The American Astronomical Society. All rights reserved.
Authors & Co-Authors
Marriner, John P.
United States, Batavia
Fermi National Accelerator Laboratory
Bernstein, Josephp P.
United States, Lemont
Argonne National Laboratory
Kessler, Richard S.
United States, Chicago
The University of Chicago
United States, Chicago
The Kavli Institute for Cosmological Physics
Lampeitl, Hubert
United Kingdom, Portsmouth
University of Portsmouth
Miquel, Ramon
Spain, Barcelona
Institució Catalana de Recerca I Estudis Avançats
Spain, Cerdanyola Del Valles
Institut de Física D'altes Energies, Bellaterra
Mosher, Jennifer
United States, Philadelphia
University of Pennsylvania
Nichol, Robert C.
United Kingdom, Portsmouth
University of Portsmouth
Sako, Masao
United States, Philadelphia
University of Pennsylvania
P. Schneider, Donald P.
United States, University Park
Pennsylvania State University
Smith, Matthew W.L.
South Africa, Cape Town
University of Cape Town
Statistics
Citations: 10
Authors: 10
Affiliations: 10
Identifiers
Doi:
10.1088/0004-637X/740/2/72
ISSN:
0004637X
e-ISSN:
15384357
Study Design
Cross Sectional Study
Study Approach
Quantitative