The-Cluster HEritage project with XMM-Newton: Mass Assembly and Thermodynamics at the End point of structure formation (CHEX-MATE) is a multi-year heritage program to obtain homogeneous XMM-Newton observations of a representative sample of 118 galaxy clusters. The observations are tuned to reconstruct the distribution of the main thermodynamic quantities of the intra-cluster medium up to R500 and to obtain individual mass measurements, via the hydrostatic-equilibrium equation, with a precision of 1520%. Temperature profiles are a necessary ingredient for the scientific goals of the project and it is thus crucial to derive the best possible temperature measurements from our data. This is why we have built a new pipeline for spectral extraction and analysis of XMM-Newton data, based on a new physically motivated background model and on a Bayesian approach with Markov chain Monte Carlo methods, which we present in this paper for the first time. We applied this new method to a subset of 30 galaxy clusters representative of the CHEX-MATE sample and show that we can obtain reliable temperature measurements up to regions where the source intensity is as low as 20% of the background, keeping systematic errors below 10%. We compare the median profile of our sample and the best-fit slope at large radii with literature results and we find a good agreement with other measurements based on XMM-Newton data. Conversely, when we exclude the most contaminated regions, where the source intensity is below 20% of the background, we find significantly flatter profiles, in agreement with predictions from numerical simulations and independent measurements with a combination of Sunyaev-Zeldovich and X-ray imaging data.

Rossetti, M., Eckert, D., Gastaldello, F., Rasia, E., Pratt, G.w., Ettori, S., et al. (2024). CHEX-MATE: Robust reconstruction of temperature profiles in galaxy clusters with XMM-Newton. ASTRONOMY & ASTROPHYSICS, 686 [10.1051/0004-6361/202348853].

CHEX-MATE: Robust reconstruction of temperature profiles in galaxy clusters with XMM-Newton

Bourdin, H.
;
De Luca, F.
;
Mazzotta, P.
;
2024-01-01

Abstract

The-Cluster HEritage project with XMM-Newton: Mass Assembly and Thermodynamics at the End point of structure formation (CHEX-MATE) is a multi-year heritage program to obtain homogeneous XMM-Newton observations of a representative sample of 118 galaxy clusters. The observations are tuned to reconstruct the distribution of the main thermodynamic quantities of the intra-cluster medium up to R500 and to obtain individual mass measurements, via the hydrostatic-equilibrium equation, with a precision of 1520%. Temperature profiles are a necessary ingredient for the scientific goals of the project and it is thus crucial to derive the best possible temperature measurements from our data. This is why we have built a new pipeline for spectral extraction and analysis of XMM-Newton data, based on a new physically motivated background model and on a Bayesian approach with Markov chain Monte Carlo methods, which we present in this paper for the first time. We applied this new method to a subset of 30 galaxy clusters representative of the CHEX-MATE sample and show that we can obtain reliable temperature measurements up to regions where the source intensity is as low as 20% of the background, keeping systematic errors below 10%. We compare the median profile of our sample and the best-fit slope at large radii with literature results and we find a good agreement with other measurements based on XMM-Newton data. Conversely, when we exclude the most contaminated regions, where the source intensity is below 20% of the background, we find significantly flatter profiles, in agreement with predictions from numerical simulations and independent measurements with a combination of Sunyaev-Zeldovich and X-ray imaging data.
2024
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/05
Settore PHYS-05/A - Astrofisica, cosmologia e scienza dello spazio
English
Galaxies: clusters: general
Galaxies: clusters: intracluster medium
Rossetti, M., Eckert, D., Gastaldello, F., Rasia, E., Pratt, G.w., Ettori, S., et al. (2024). CHEX-MATE: Robust reconstruction of temperature profiles in galaxy clusters with XMM-Newton. ASTRONOMY & ASTROPHYSICS, 686 [10.1051/0004-6361/202348853].
Rossetti, M; Eckert, D; Gastaldello, F; Rasia, E; Pratt, Gw; Ettori, S; Molendi, S; Arnaud, M; Balboni, M; Bartalucci, I; Batalha, Rm; Borgani, S; Bou...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/404843
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