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Statistical Challenges in fitting stellar orbits around the super-massive black hole at the Galactic center

Published online by Cambridge University Press:  09 February 2017

Gregory D. Martinez ,
Kelly Kosmo ,
Aurelien Hees ,
Joseph Ahn  and
Andrea Ghez
Gregory D. Martinez
Affiliation:
Department of Physics and Astronomy, 430 Portola Plaza, Box 951547 Los Angeles, CA. 90095-1547 email: [email protected]
Kelly Kosmo
Affiliation:
Department of Physics and Astronomy, 430 Portola Plaza, Box 951547 Los Angeles, CA. 90095-1547 email: [email protected]
Aurelien Hees
Affiliation:
Department of Physics and Astronomy, 430 Portola Plaza, Box 951547 Los Angeles, CA. 90095-1547 email: [email protected]
Joseph Ahn
Affiliation:
Department of Physics and Astronomy, 430 Portola Plaza, Box 951547 Los Angeles, CA. 90095-1547 email: [email protected]
Andrea Ghez
Affiliation:
Department of Physics and Astronomy, 430 Portola Plaza, Box 951547 Los Angeles, CA. 90095-1547 email: [email protected]
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Abstract

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Over two decades of astrometric and radial velocity data of short period stars at the Galactic center has the potential to provide unprecedented tests of General Relativity and insight into the astrophysics of the super-massive black hole. Fundamental to this is understanding the underlying statistical issues of fitting stellar orbits. Unintended prior effects can obscure actual physical effects from General Relativity and underlying extended mass distribution. At the heart of this is dealing with large parameter spaces inherent to multi-star fitting and ensuring acceptable coverage properties of the resulting confidence intervals in the Bayesian framework. This proceeding will detail some of the UCLA group's analysis and work in addressing these statistical issues.

Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , Symposium S322: The Multi-Messenger Astrophysics of the Galactic Centre , July 2016 , pp. 239 - 240
Copyright
Copyright © International Astronomical Union 2017 

References

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