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Using Type IA supernova light curve shapes to measure the Hubble constant
Riess, Adam G.; Press, William H.; Kirshner, Robert P.
AA(Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, US), AB(Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, US), AC(Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, US)
Astrophysical Journal, Part 2 - Letters (ISSN 0004-637X), vol. 438, no. 1, p. L17-L20 (ApJL Homepage)
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NASA/STI Keywords:
Astronomical Models, Cosmology, Distance, Hubble Constant, Light Curve, Mathematical Models, Stellar Luminosity, Supernovae, Algorithms, Error Analysis, Statistical Analysis, Statistical Tests, Visible Spectrum
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We present an empirical method that uses visual band light curve shapes (LCSs) to estimate the luminosity of Type Ia supernova (SN Ia's). This method is first applied to a 'training set' of eight SN Ia light curves with independent distance estimates to derive the correlation between the LCS and the luminosity. We employ a linear estimation algorithm of the type developed by Rybicki and Press. The result is similar to that obtained by Hamuy et al. with the advantage that LCS produces quantitative error estimates for the distance. We then examine the light curves for 13 SN Ia's to determine the LCS distances of these supernovae. The Hubble diagram constructed using these LCS distances has a remarkably small dispersion of sigmaV = 0.21 mag. We use the light curve of SN 1972E and the Cepheid distance to NGC 5253 to derive 67 +/- 7 km/s/Mpc for the Hubble constant.

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