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Published January 2021 | Accepted Version + Published
Journal Article Open

Reconciling galaxy cluster shapes, measured by theorists versus observers

Abstract

If properly calibrated, the shapes of galaxy clusters can be used to investigate many physical processes: from feedback and quenching of star formation, to the nature of dark matter. Theorists frequently measure shapes using moments of inertia of simulated particles'. We instead create mock (optical, X-ray, strong-, and weak-lensing) observations of the 22 most massive (⁠∼10^(14.7) M_⊙⁠) relaxed clusters in the BAHAMAS simulations. We find that observable measures of shape are rounder. Even when moments of inertia are projected into 2D and evaluated at matched radius, they overestimate ellipticity by 56 per cent (compared to observable strong lensing) and 430 per cent (compared to observable weak lensing). Therefore, we propose matchable quantities and test them using observations of eight relaxed clusters from the Hubble Space Telescope (HST) and Chandra X-Ray Observatory. We also release our HST data reduction and lensing analysis software to the community. In real clusters, the ellipticity and orientation angle at all radii are strongly correlated. In simulated clusters, the ellipticity of inner (

Additional Information

© The Author(s) 2020. Published by Oxford University Press on behalf of The Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Accepted 2020 October 6. Received 2020 August 31; in original form 2020 July 17. DH acknowledges support by the Delta Institute for Theoretical Physics. JR was supported by JPL, which is run under a contract for NASA by Caltech. MJ is supported by the United Kingdom Research and Innovation (UKRI) Future Leaders Fellowship 'Using Cosmic Beasts to uncover the Nature of Dark Matter' [grant number MR/S017216/1]. This project was also supported by the Science and Technology Facilities Council [grant number ST/L00075X/1]. SIT is supported by Van Mildert College Trust PhD Scholarships. RM is supported by the Royal Society. AR is supported by the European Research Council's Horizon 2020 project 'EWC' (award AMD- 776247-6). This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 769130). DATA AVAILABILITY. Although data are private, it is available upon request.

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Published - staa3193.pdf

Accepted Version - 2011.01945.pdf

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Created:
August 20, 2023
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October 23, 2023