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In the search for the nature of dark energy most cosmological probes measure simple functions of the expansion rate. While powerful, these all involve roughly the same dependence on the dark energy equation of state parameters, with anticorrelation between its present value w_0 and time variation w_a. Quantities that have instead positive correlation and so a sensitivity direction largely orthogonal to, e.g., distance probes offer the hope of achieving tight constraints through complementarity. Such quantities are found in strong gravitational lensing observations of image separations and time delays. While degeneracy between cosmological parameters prevents full complementarity, strong lensing measurements to 1% accuracy can improve equation of state characterization by 15-50%. Next generation surveys should provide data on roughly 10^5 lens systems, though systematic errors will remain challenging.
7 pages, 5 figures
General Physics, Astrophysics (astro-ph), FOS: Physical sciences, Astrophysics, 530, 72 Physics Of Elementary Particles And Fields, 520, Sensitivity, Probes, 71 Classical And Quantum Mechanics, Time Delay, Accuracy
General Physics, Astrophysics (astro-ph), FOS: Physical sciences, Astrophysics, 530, 72 Physics Of Elementary Particles And Fields, 520, Sensitivity, Probes, 71 Classical And Quantum Mechanics, Time Delay, Accuracy
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 43 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |