Abstract

We have developed a new software to perform the measurement of galaxy cluster pressure profiles from high angular resolution thermal SZ observations. The code allows the user to take into account various features of millimeter observations, such as point spread function (PSF) convolution, pipeline filtering, correlated residual noise, and point source contamination, in a forward modeling approach. A major advantage of this software is its performance, enabling the extraction of the pressure profile and associated confidence intervals via MCMC sampling in times as short as a few minutes. We present the code and its validation on various realistic synthetic maps, of ideal spherical clusters, as well as of realistic, hydrodynamically simulated objects. We plan to publicly release the software in the coming months.

Highlights

  • The thermal Sunyaev-Zeldovich effect is a powerful way to detect and study galaxy clusters at millimeter wavelengths, thanks to their imprint on the cosmic microwave background. The amplitude of this effect is proportional to the line of sight-integrated pressure of the intracluster medium (ICM) gas, enabling studies of the thermodynamic properties of the ICM through tSZ observations

  • We present the PANCO2 (Pipeline for the Analysis of NIKA2 Cluster Observations) software, that has been developed in order to fill the needs of the NIKA2 SZ

  • The validation of PANCO2 is performed on synthetic maps of clusters with known pressure profiles, allowing us to compare the final analysis product – i.e. the pressure profile reconstructed from the SZ map – to the true underlying cluster properties

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Summary

Introduction

The thermal Sunyaev-Zeldovich (tSZ) effect is a powerful way to detect and study galaxy clusters at millimeter wavelengths, thanks to their imprint on the cosmic microwave background. The amplitude of this effect is proportional to the line of sight-integrated pressure of the intracluster medium (ICM) gas, enabling studies of the thermodynamic properties of the ICM through tSZ observations. Among its goals are the measurement of the Y500 − M500 scaling relation [4] and of the mean pressure profile of the ICM These studies require the extraction of individual pressure profiles for each cluster in the sample of the program. Other codes have been publicly released in recent years, offering different and complementary options (see e.g. [11], offering joint modeling of SZ and X-ray signal, but no treatment of point source contamination)

Algorithm
Forward modeling of SZ observations
MCMC analysis
Validation on simulated input
Conclusions
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