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Predicting Single-Temperature Fit to Multi-Component Thermal Plasma Spectra

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arxiv astro-ph/0504098 v2 pith:L4YTBHQS submitted 2005-04-05 astro-ph

classification astro-ph
keywords emissionplasmaspecspectratemperaturesx-rayalgorithmanalysis
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Observed X-ray spectra of hot gas in clusters, groups, and individual galaxies are commonly fit with a single-temperature thermal plasma model even though the beam may contain emission from components with different temperatures. Recently, Mazzotta et al. pointed out that thus derived T_spec can be significantly different from commonly used definitions of average temperature, such as emission- or emission measure-weighted T, and found an analytic expression for predicting T_spec for a mixture of plasma spectra with relatively hot temperatures (T>3 keV). In this Paper, we propose an algorithm which can accurately predict T_spec in a much wider range of temperatures (T>0.5 keV), and for essentially arbitrary abundance of heavy elements. This algorithm can be applied in the deprojection analysis of objects with the temperature and metallicity gradients, for correction of the PSF effects, for consistent comparison of numerical simulations of galaxy clusters and groups with the X-ray observations, and for estimating how emission from undetected components can bias the global X-ray spectral analysis.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 142 citations worldwide. Full citation record

  1. Average soft X-ray surface brightness profile of massive galaxy clusters in Magneticum simulations

    astro-ph.CO 2026-08 conditional novelty 6.0 of 10

    Magneticum simulations reproduce the eROSITA stacked soft X-ray surface brightness profile of massive clusters out to about 3 R500, with a central difference attributed to AGN feedback.

  2. Beyond Self-Similarity: Reconciling X-Ray Scaling Relations in Galaxy Clusters and Groups

    astro-ph.CO 2026-06 conditional novelty 5.0 of 10

    Power-law modeling of gas mass fraction and temperature variation reconciles observed X-ray scaling relations in galaxy clusters, reducing >3σ tensions from 49% to 11% and yielding a redshift-independent mass proxy Y_LGT0.

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