Dark Energy Constraints from Galaxy Cluster Peculiar Velocities
Suman Bhattacharya, Arthur Kosowsky (University of Pittsburgh)

TL;DR
Future microwave experiments detecting the kinetic Sunyaev-Zeldovich effect can measure galaxy cluster velocities, offering a promising method to constrain dark energy parameters with competitive accuracy and robustness to measurement errors.
Contribution
This paper demonstrates the potential of cluster peculiar velocity measurements via the kSZ effect to constrain dark energy parameters, comparing different velocity statistics and their robustness.
Findings
Mean pairwise velocity is least sensitive to velocity errors.
Velocity constraints are comparable to supernovae measurements.
Adding velocity data improves dark energy figure of merit by over two times.
Abstract
Future multifrequency microwave background experiments with arcminute resolution and micro-Kelvin temperature sensitivity will be able to detect the kinetic Sunyaev-Zeldovich (kSZ) effect, providing a way to measure radial peculiar velocities of massive galaxy clusters. We show that cluster peculiar velocities have the potential to constrain several dark energy parameters. We compare three velocity statistics (the distribution of radial velocities, the mean pairwise streaming velocity, and the velocity correlation function) and analyze the relative merits of these statistics in constraining dark energy parameters. Of the three statistics, mean pairwise streaming velocity provides constraints that are least sensitive to velocity errors: the constraints on parameters degrades only by a factor of two when the random error is increased from 100 to 500 km/s. We also compare cluster…
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