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Systematics errors in strong lens modeling

Published online by Cambridge University Press:  27 October 2016

Traci L. Johnson ,
Keren Sharon  and
Matthew B. Bayliss
Traci L. Johnson
Affiliation:
Department of Astronomy, University of Michigan, 1085 S. University Ave., Ann Arbor, MI 48109USA email: tljohn@umich.edu,kerens@umich.edu
Keren Sharon
Affiliation:
Department of Astronomy, University of Michigan, 1085 S. University Ave., Ann Arbor, MI 48109USA email: tljohn@umich.edu,kerens@umich.edu
Matthew B. Bayliss
Affiliation:
Department of Physics and Astronomy, Colby College, 5800 Mayflower Hill, Waterville, Maine 04901 email: matthew.bayliss@colby.edu
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Abstract

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We investigate how varying the number of multiple image constraints and the available redshift information can influence the systematic errors of strong lens models, specifically, the image predictability, mass distribution, and magnifications of background sources. This work will not only inform upon Frontier Field science, but also for work on the growing collection of strong lensing galaxy clusters, most of which are less massive and are capable of lensing a handful of galaxies.

Keywords

galaxies: clusters: generalgravitational lensing
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , General Assembly A29B: Astronomy in Focus , August 2015 , pp. 791 - 792
Copyright
Copyright © International Astronomical Union 2016 

References

Johnson, T. L., Sharon, K., Bayliss, M. B., et al. 2014, ApJ, 797, 48 Google Scholar
Jullo, E., Kneib, J.-P., Limousin, M., et al. 2007, New Journal of Physics, 9, 447 Google Scholar