1. Introduction
Cosmic magnetism is one of five scientific cases that drove the design and the construction of the Square Kilometer Array
1 (SKA). Magnetic fields are enigmatically ubiquitous in the universe [
1], and clear signatures of their presence have been detected even in galaxy clusters. Indeed, the observation of the Faraday rotation effect on background radio sources is indirect proof of the presence of a magnetic field embedded in the intracluster medium (ICM). This effect consists of the rotation
of the polarization plane of a linearly polarized signal (the one from the background radio source) as it crosses a magnetized plasma (the ICM). This rotation depends on square wavelength
and on the so-called rotation measure (RM):
. By observing the signal at different wavelengths, we can evaluate the RM, which is defined as the path integral of the line-of-sight parallel component of intracluster magnetic field
times plasma density
, where the integral is performed across the entire length
L of the magnetoionic medium:
. The RM encodes the information related to the intracluster magnetic field, and its measurement is a suitable way to determine its properties (see References [
2,
3] for reviews on the determination of magnetic fields in clusters). We should mention that, in some cases, the polarization angle of the radio source signal does not scale with
. This is due to the so-called n
ambiguity (see Reference [
4] for a more detailed discussion): the measured polarization angle can assume values between 0 and
, but we do not know a priori how many n
π rotations, with n being an integer number, the polarization angle actually performs, and this can lead to wrong estimates of the RM. To overcome this problem, it is necessary to have measurements at several frequencies.
A direct proof of the presence of magnetic fields in galaxy clusters is the detection of diffuse radio halos in some clusters [
5]. These sources do not show any optical or radio discrete counterparts, they present low surface brightness values (S
1.4GHx ~ 1 μJy/arcsec
2), and extend across the cluster area with a typical dimension of 1 Mpc. Since the emitting radio source is mixed with the thermal plasma, we cannot observe the
scaling of the polarization angle. These sources undergo a depolarization effect: the polarized filaments emitting at different positions are rotated according to the associated Faraday depth
, which, differently from the RM, is calculated by integrating only over the portion of plasma crossed by the signal. All the signals from the same line of sight are subject to different Faraday depths. Thus, they sum up incoherently inside the frequency channel, decreasing the degree of polarization. This behavior is observed also in radio sources, like star-forming galaxies, where the emitting plasma is mixed with the thermal one. A way to overcome this problem is represented by the so-called RM synthesis technique [
6,
7]. With this technique, one reconstructs the polarized signal from the U and Q Stokes parameters assuming different values of the Faraday depth inside a given interval. The U and Q Stokes parameters have to be derotated depending on the assumed Faraday depth value, and the polarization is reconstructed from
, so that it is possible to see a spectrum of polarization as a function of the Faraday depth. If we apply this technique on background radio galaxies, we observe one polarized peak in the spectrum, and the associated Faraday depth is the cluster RM. On the other hand, the result for radio halos is a spectrum with multiple components since we have different polarized peaks emitted at different positions along the cluster. This is a powerful technique to recover the missed polarized signal of radio halos. Nevertheless, the interpretation of the Faraday spectrum is not trivial, and it is necessary to use simulation tools to extract the correct information on the cluster magnetic-field properties [
8]. It is worth mentioning that another important advantage of the RM synthesis technique consists of the removal of the n
π ambiguity described previously [
6].
Numerical simulations are essential, as they can be used to explore the physics of the ICM, they are helpful to provide forecasts for next-generation radio telescopes [
9], and they are vital for the interpretation of current and future data.
In this proceeding, we present numerical simulations obtained with FARADAY [
10], a software package developed for intracluster magnetic-field studies. This software package can be used to realize simulated images of one or more galaxy clusters observed with a given observational setup. In particular, we decided to realize simulated images in the range of 950−1760 MHz, i.e., the SKA1-MID Band 2, with a synthesized beam Full-Width-at-Half-Maximum (FWHM) of 2.5″. This represents a simplified case, where we assumed that the images were also confusion-limited in polarization (the confusion is due to the faintest unresolved radio sources of our simulation). To make the images more realistic, we have to add the thermal noise expected for the SKA. As a result, the clusters are sparsely sampled since we would only consider the emission above the noise level. In this work, our aim is to explore the potential of RM synthesis on the SKA1-MID frequency band data in constraining intracluster magnetic fields and to observe how different types of objects affect the results. The same approach presented here is the subject of a future work where we will consider simulated images including the thermal noise.
In
Section 2, we explain how the simulation works; in
Section 3, we show the resulting images; in
Section 4, we illustrate the result of the application of RM synthesis on the data; and, finally,
Section 5 is devoted to the discussion and conclusions. Throughout the paper, we adopt a ΛCDM cosmology with H
0 = 71 km·s
−1 Mpc
−1,
, and
.
2. Method
To reproduce a realistic radio observation of a galaxy cluster, we needed to incorporate the emission related to all the radio sources populating the simulated volume of the universe.
In order to produce the emission of discrete radio sources, we needed to specify their properties and we did this according to proper assumptions. The radio-source properties are the following: type, position, redshift, luminosity, size, morphology, spectro-polarimetry properties, such as the spectral index , defined from the relation between flux density and frequency , and intrinsic polarization properties. Concerning the type, we considered star-forming galaxies (SFGs) and active galactic nuclei (AGN). To reproduce the morphology and spectro-polarimetry properties, we used high-resolution and high-frequency images of real radio sources.
We first produced the cluster-embedded radio source following these steps:
we specified the computational volume of the galaxy clusters;
we used the Navarro–Frank–White (NFW) profile of Reference [
11] to describe the distribution of the cluster sources with respect to the center of the cluster;
the NFW profile was normalized with respect to the cluster radio luminosity function (RLF) of Reference [
11];
we calculated the total number of cluster sources by integrating the NFW profile over the cubical box;
we assigned the type to each radio source depending on the fraction fixed by the AGN and SFG RLFs;
we extracted the source luminosity, size, and position with a Monte Carlo approach from the cumulative distribution functions of, respectively, the RLF, the size model (the same adopted in Reference [
12]), and the NFW profile;
according to the source luminosity and type, we attributed a morphological and spectro-polarimetric model to the source;
the redshift of this sources corresponded to the selected cluster redshift;
The properties of the background and foreground radio sources were produced in the following way:
we assumed the “cosmological” of Reference [
13] evolved in redshift according to Reference [
14];
we integrated the cosmological AGN and SFG RLFs along the simulated portion of the universe to compute the number of background and foreground radio sources of each specific type;
we assigned the redshift from the cumulative distribution function of the redshift-evolved RLFs;
for the luminosity, morphology, and spectro-polarimetry properties, we proceeded in the same way as for the cluster-embedded sources.
We computed the I, U, and Q Stokes parameters from the properties of the simulated radio sources. The U and Q Stokes parameters of cluster-embedded and background sources were affected by the presence of an ICM that we know to be magnetized. In this work, the ICM is produced from a cosmological magneto-hydro-dynamical (MHD) simulation of the merging of two galaxy clusters. The intracluster magnetic field is injected by AGNs at redshift z∼3, while the pair of clusters is observed at z = 0.205. The simulated image covers an area of ∼6.4 Mpc with a resolution of 10.7 kpc.
Starting from the MHD cubes of the magnetic field, temperature and thermal plasma distribution, in conjunction with the properties of the radio source population, we could generate the associated X-ray and radio emission. Regarding the latter, we also reproduced the emission associated with the cluster radio halos as was done in Reference [
9].
4. Results
We explored the potential of RM synthesis in three different cases where the signal was due to:
background radio sources;
cluster radio halos;
all sources: background, cluster, and foreground discrete sources, plus the cluster radio halos.
For each of the three cases, we applied RM synthesis in an interval in Faraday depth going from −5000 to 5000 rad/m2 with a step interval of 10 rad/m2. The resulting transfer function has a FWHM of 40 rad/m2. By applying the RM synthesis technique on a given line of sight in the first case (background sources), the Faraday spectrum (i.e., polarization as a function of the Faraday depths) is composed by a single peak of polarization. Therefore, it is correct to assume, as cluster RM, the Faraday depth in correspondence of this peak. In the other cases, where the emission is due to a radio halo and/or discrete radio sources placed at different positions with respect to the cluster center, we obtained a spectrum in the Faraday space with multiple components: every polarized signal coming from a given source is placed at the Faraday depth crossed by the signal itself. In these cases, we decided to consider just one polarized component in the Faraday spectrum, which is the one with the maximum polarized intensity. We assumed as RM the Faraday depth of this polarization peak.
The results are shown in
Figure 2, where we focus our attention on a zoom centered on the cluster shown on the left of
Figure 1: the left and central panels refer to the cluster RM as computed from the MHD cubes, and to the resulting RM synthesis image, respectively, while the right panel compares the theoretical
(solid line) calculated from the first image with the measurements (dots) derived from the second image. From top to bottom, we illustrate the results of the three different cases.
5. Discussion and Conclusions
We noticed that we could perfectly reconstruct the profile with RM synthesis when applied only on background radio source signal. This is important as a consistency check of the technique, especially in view of the treatment of more realistic and complex cases where, for example, we introduce thermal noise and/or remove the redshift information of the radio sources. When the same technique is applied to the case of radio halos alone, we can notice the presence of a substructure in the RM synthesis image. This is far from surprising, since the polarized peak in the Faraday spectrum of two close line of sights that share the same theoretical RM can be generated at different positions along the cluster length. Thus, they witness different Faraday depths. Moreover, we observed higher values of , especially at distances less than 500 kpc from the cluster center. Finally, we see that, in the third case, we obtained results similar to what we found in the previous case, suggesting that the presence of a cluster radio halo deeply influences the results of this technique.
The results of this work indicate that band 2 of the SKA1-MID is very well suited for intracluster magnetic-field studies. Moreover, they suggest that we need to perform accurate analysis of the results of RM synthesis in simulations of galaxy clusters to correctly interpret the outcome of current and future observations.