A Measurement of Gravitational Lensing of the Cosmic Microwave Background by Galaxy Clusters Using Data from the South Pole Telescope
E. J. Baxter, R. Keisler, S. Dodelson, K. A. Aird, S. W. Allen, M. L., N. Ashby, M. Bautz, M. Bayliss, B. A. Benson, L. E. Bleem, S. Bocquet, M., Brodwin, J. E. Carlstrom, C. L. Chang, I. Chiu, H-M. Cho, A. Clocchiatti, T., M. Crawford, A. T. Crites, S. Desai, J. P. Dietrich

TL;DR
This paper measures the gravitational lensing effect of galaxy clusters on the cosmic microwave background using South Pole Telescope data, providing a new method to estimate cluster masses and confirming the lensing signal at 3.1 sigma significance.
Contribution
It introduces a maximum likelihood approach to extract CMB lensing signals from galaxy clusters and validates this method with mock data, advancing cluster mass measurement techniques.
Findings
Detected CMB lensing by galaxy clusters at 3.1 sigma significance.
Lensing-derived cluster masses are consistent with SZ flux estimates.
Systematic errors tend to reduce the estimated cluster mass.
Abstract
Clusters of galaxies are expected to gravitationally lens the cosmic microwave background (CMB) and thereby generate a distinct signal in the CMB on arcminute scales. Measurements of this effect can be used to constrain the masses of galaxy clusters with CMB data alone. Here we present a measurement of lensing of the CMB by galaxy clusters using data from the South Pole Telescope (SPT). We develop a maximum likelihood approach to extract the CMB cluster lensing signal and validate the method on mock data. We quantify the effects on our analysis of several potential sources of systematic error and find that they generally act to reduce the best-fit cluster mass. It is estimated that this bias to lower cluster mass is roughly in units of the statistical error bar, although this estimate should be viewed as an upper limit. We apply our maximum likelihood technique to 513…
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Taxonomy
TopicsCosmology and Gravitation Theories · Radio Astronomy Observations and Technology · Astronomy and Astrophysical Research
