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Improved Use of Inputs to Primordial Nucleosynthesis

Published online by Cambridge University Press:  25 May 2016

Kenneth M. Nollett  and
Scott Burles
Kenneth M. Nollett
Affiliation:
1Department of Physics 2Department of Astronomy and Astrophysics, The University of Chicago, 5640 S. Ellis Ave., Chicago, IL 60637, USA
Scott Burles
Affiliation:
2Department of Astronomy and Astrophysics, The University of Chicago, 5640 S. Ellis Ave., Chicago, IL 60637, USA

Abstract

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We present a new method to incorporate laboratory nuclear data directly into the standard big-bang nucleosynthesis calculation. Using the quoted uncertainties on the data in a Monte Carlo procedure, we estimate likelihood distributions of the predicted abundances. Our results indicate significantly narrower confidence limits for the predictions than those presently in use. This technique provides error estimates that become smaller as more input data are added, and it allows new nuclear data to be incorporated easily as they become available.

Type
2. Production and Destruction of the Elements
Information
Symposium - International Astronomical Union , Volume 198: The Light Elements and their Evolution , 2000 , pp. 120 - 122
Copyright
Copyright © Astronomical Society of the Pacific 2000 

References

Burles, S., Nollett, K. M., Truran, J. W., & Turner, M. S. 1999, Phys. Rev. Lett, 82, 4176 CrossRefGoogle Scholar
Nollett, K. M. & Burles, S. 1999, submitted to Phys. Rev. D Google Scholar
Smith, M. S., Kawano, L. H., & Malaney, R. A. 1993, ApJS, 85, 219 CrossRefGoogle Scholar