D. Eckert

activity

20232026

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

29 citations · 131 across the 21 of their papers we have counts for

collaborators

Showing 2023Show all

3 papers · 1 filter

astro-ph.CO2023★ 22 cited

CHEX-MATE: Characterization of the intra-cluster medium temperature distribution

L. Lovisari, S. Ettori, E. Rasia +23

We study the perturbations in the temperature (and density) distribution for 28 clusters selected from the CHEX-MATE sample to evaluate and characterize the level of inhomogeneitie…

astro-ph.CO2023

NIKA2 observations of 3 low-mass galaxy clusters at $z \sim 1$ : pressure profile and $Y_{SZ}$ - $M$ relation

R. Adam, M. Ricci, D. Eckert +64

Three galaxy clusters selected from the XXL X-ray survey at high redshift and low mass ( $z \sim 1$ and $M_{500} \sim 1 - 2 \times 1 0^{14}$ M $_{⊙}$ ) were observed with NIKA2 to imag…

astro-ph.CO2023★ 7 cited

CHEX-MATE: A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profiles

A. Iqbal, G. W. Pratt, J. Bobin +21

Temperature profiles of the hot galaxy cluster intracluster medium (ICM) have a complex non-linear structure that traditional parametric modelling may fail to fully approximate. Fo…

CHEX-MATE: Characterization of the intra-cluster medium temperature distribution

NIKA2 observations of 3 low-mass galaxy clusters at z∼1: pressure profile and YSZ​-M relation

CHEX-MATE: A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profiles

NIKA2 observations of 3 low-mass galaxy clusters at $z \sim 1$ : pressure profile and $Y_{SZ}$ - $M$ relation