Bias from gas inhomogeneities in the pressure profiles as measured from X-ray and SZ observations

TL;DR

This study investigates how gas inhomogeneities in galaxy clusters bias X-ray derived pressure estimates compared to SZ measurements, revealing small median biases within R_500 but larger scatter at greater radii.

Contribution

The paper introduces a simple model to estimate bias from gas fluctuations and analyzes simulation data to quantify bias patterns in pressure profiles.

Findings

Median bias within R_500 is within ±3%.

Bias increases to -5% at 1.5 R_500 and returns to near zero beyond 2 R_500.

Scatter in bias is small within R_500 but larger at greater radii.

Abstract

X-ray observations of galaxy clusters provide emission measure weighted spectra, arising from a range of density and temperature fluctuations in the intra-cluster medium (ICM). This is fitted to a single temperature plasma emission model to provide an estimate of the gas density and temperature, which are sensitive to the gas inhomogeneities. Therefore, X-ray observations yield a potentially biased estimate of the thermal gas pressure, P_X. At the same time Sunyaev-Zeldovich (SZ) observations directly measure the integrated gas pressure, P_SZ. If the X-ray pressure profiles are strongly biased with respect to the SZ, then one has the possibility to probe the gas inhomogeneities, even at scales unresolved by the current generation of telescopes. At the same time, a weak bias has implications for the interchangeable use of mass proxies like Y_SZ and Y_X as cosmological probes. In this paper we investigate the dependence of the bias, defined as b_P(r)=P_X(r)/P_SZ(r)-1, on the characteristics of fluctuations in the ICM taking into account the correlation between temperature and density fluctuations. We made a simple prediction of the irreducible bias in idealised X-ray vs SZ observations using multi-temperature plasma emission model. We also provide a simple fitting form to estimate the bias given the distribution of fluctuations. Analysing a sample of 16 clusters extracted from hydrodynamical simulations, we find that the median value of bias is within +/-3% within R_500, it decreases to -5% at R_500<r<1.5R_500 and then rises back to ~0% at r >~ 2R_500. The scatter of b_P(r) between individual relaxed clusters is small -- at the level of <0.03 within R_500, but turns significantly larger (0.25) and highly skewed at r>~ 1.5R_500. For any relaxed cluster we find |b_P(r)| < 15% within R_500, across different implementations of input physics in the simulations. [abridged]