Issue |
EPJ Web Conf.
Volume 293, 2024
mm Universe 2023 - Observing the Universe at mm Wavelengths
|
|
---|---|---|
Article Number | 00007 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/epjconf/202429300007 | |
Published online | 28 March 2024 |
https://doi.org/10.1051/epjconf/202429300007
Power spectrum estimation methods on intracluster medium surface brightness fluctuations
1 Victoria University of Wellington, New Zealand
2 University of Waikato, New Zealand
* e-mail: mark.bishop@vuw.ac.nz
Published online: 28 March 2024
Accurate estimation of galaxy cluster masses is a central problem in cosmology. Turbulence is believed to introduce significant deviations from the hydrostatic mass estimates. Estimation of turbulence properties is complicated by projection of the 3D cluster onto the 2D plane of the sky, and is commonly done in the form of indirect probes from fluctuations in the X-ray surface brightness and Sunyaev-Zeldovich effect maps. In this paper, we address this problem using simulations. We examine different methods for estimating the power spectrum on 2D projected fluctuation data, emulating data projected onto a 2D plane of the sky, and comparing them to the original, expected 3D power spectrum. Noise can contaminate the power spectrum of ICM observations, so we also briefly compare a few methods of reducing noise in the images for better spectral estimation.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.