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Published June 10, 2022 | Published + Accepted Version
Journal Article Open

Measurement of the Relativistic Sunyaev–Zeldovich Correction in RX J1347.5-1145

Abstract

We present a measurement of the relativistic corrections to the thermal Sunyaev–Zel'dovich (SZ) effect spectrum, the rSZ effect, toward the massive galaxy cluster RX J1347.5-1145 by combining submillimeter images from Herschel-SPIRE with millimeter wavelength Bolocam maps. Our analysis simultaneously models the SZ effect signal, the population of cosmic infrared background galaxies, and the galactic cirrus dust emission in a manner that fully accounts for their spatial and frequency-dependent correlations. Gravitational lensing of background galaxies by RX J1347.5-1145 is included in our methodology based on a mass model derived from the Hubble Space Telescope observations. Utilizing a set of realistic mock observations, we employ a forward modeling approach that accounts for the non-Gaussian covariances between the observed astrophysical components to determine the posterior distribution of SZ effect brightness values consistent with the observed data. We determine a maximum a posteriori (MAP) value of the average Comptonization parameter of the intracluster medium (ICM) within R₂₅₀₀ to be〈y〉₂₅₀₀ = 1.56 × 10−4, with corresponding 68% credible interval [1.42, 1.63] × 10⁻⁴, and a MAP ICM electron temperature of 〈T_(sz)〉2500 = 22.4 keV with 68% credible interval spanning [10.4, 33.0] keV. This is in good agreement with the pressure-weighted temperature obtained from Chandra X-ray observations, 〈T_(x,pw)〉₂₅₀₀ = 17.4 ± 2.3 keV. We aim to apply this methodology to comparable existing data for a sample of 39 galaxy clusters, with an estimated uncertainty on the ensemble mean 〈T_(sz)〉₂₅₀₀ at the ≃ 1 keV level, sufficiently precise to probe ICM physics and to inform X-ray temperature calibration.

Additional Information

© 2022. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 2021 October 25; revised 2022 April 5; accepted 2022 April 29; published 2022 June 15. The authors acknowledge Research Computing at the Rochester Institute of Technology for providing computational resources and support that have contributed to the research results reported in this publication. The authors would also like to acknowledge Glenn Morris (https://orcid.org/0000-0003-2985-9962) for their assistance with Chandra data reduction. This work was supported by NASA ADAP research grant 80NSSC19K1018. A.Z. acknowledges support from the Ministry of Science and Technology, Israel. Facilities: Herschel - European Space Agency's Herschel space observatory, HST - , Chandra X-Ray Observatory - , Planck - , CSO - . Software: astropy (Astropy Collaboration et al. 2013, 2018), corner (Foreman-Mackey 2016), SZpack (Chluba et al. 2012, 2013), CIAO (https://cxc.cfa.harvard.edu/ciao/; Fruscione et al. 2006; SPIE Proc. 6270, 62701V; D.R. Silvia & R.E. Doxsey, eds.), PCAT-DE (R. Feder et al. 2021, in preparation).

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Published - Butler_2022_ApJ_932_55.pdf

Accepted Version - 2110.13932.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 24, 2023