XMM-Newton and Chandra cross-calibration using HIFLUGCS galaxy clusters - Systematic temperature differences and cosmological impact
A&A, 575 (2015) A30
Published online: 2015-02-17
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Concordance: In-flight Calibration of X-Ray Telescopes without Absolute References
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Evolution of the Thermodynamic Properties of Clusters of Galaxies out to Redshift of 1.8
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The thermalization of massive galaxy clusters
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JoXSZ: Joint X-SZ fitting code for galaxy clusters
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Measuring bulk flows of the intracluster medium in the Perseus and Coma galaxy clusters using XMM-Newton
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Probing cosmic isotropy with a new X-ray galaxy cluster sample through theLX–Tscaling relation
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Hydrostatic mass estimates of massive galaxy clusters: a study with varying hydrodynamics flavours and non-thermal pressure support
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Probing the Milky Way’s Dark Matter Halo for the 3.5 keV Line
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X-Ray Scaling Relations for a Representative Sample of Planck-selected Clusters Observed with XMM-Newton
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The chemical evolution of galaxy clusters: Dissecting the iron mass budget of the intracluster medium
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How do atomic code uncertainties affect abundance measurements in the intracluster medium?
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A Study of the Merger History of the Galaxy Group HCG 62 Based on X-Ray Observations and Smoothed Particle Hydrodynamic Simulations
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Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage
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Imaging the Thermal and Kinematic Sunyaev–Zel’dovich Effect Signals in a Sample of 10 Massive Galaxy Clusters: Constraints on Internal Velocity Structures and Bulk Velocities
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Building a cluster: shocks, cavities, and cooling filaments in the group–group merger NGC 6338
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Chandra Follow-up of the SDSS DR8 Redmapper Catalog Using the MATCha Pipeline
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Deriving the Hubble constant usingPlanckandXMM-Newtonobservations of galaxy clusters
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Non-thermal pressure support in X-COP galaxy clusters
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The redshift evolution of X-ray and Sunyaev–Zel’dovich scaling relations in the fable simulations
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Evidence for a Merger-induced Shock Wave in ZwCl 0008.8+5215 with Chandra and Suzaku
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Using X-Ray Morphological Parameters to Strengthen Galaxy Cluster Mass Estimates via Machine Learning
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The Galaxy Cluster Mass Scale and Its Impact on Cosmological Constraints from the Cluster Population
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