Abstract
In recent years, observations of the Sunyaev-Zeldovich (SZ) effect have had significant cosmological implications and have begun to serve as a powerful and independent probe of the warm and hot gas that pervades the Universe. As a few pioneering studies have already shown, SZ observations both complement X-ray observations—the traditional tool for studying the intra-cluster medium—and bring unique capabilities for probing astrophysical processes at high redshifts and out to the low-density regions in the outskirts of galaxy clusters. Advances in SZ observations have largely been driven by developments in centimetre-, millimetre-, and submillimetre-wave instrumentation on ground-based facilities, with notable exceptions including results from the Planck satellite. Here we review the utility of the thermal, kinematic, relativistic, non-thermal, and polarised SZ effects for studies of galaxy clusters and other large scale structures, incorporating the many advances over the past two decades that have impacted SZ theory, simulations, and observations. We also discuss observational results, techniques, and challenges, and aim to give an overview and perspective on emerging opportunities, with the goal of highlighting some of the exciting new directions in this field.
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Notes
In the rest-frame of the moving electron, the scattering event can actually be calculated using the Thomson limit for the differential cross section provided that \(h\nu\ll{m_{\mathrm{e}}}c ^{2}\) in this frame.
Stimulated scattering and recoil terms can be omitted.
An alternative derivation uses that the superposition of blackbodies with slightly different temperatures, as indeed caused by the scattering process, is no longer a blackbody (Zeldovich et al. 1972). In this case, the \(y\)-parameter is related to the temperature dispersion, \(y=\frac{1}{2}\,\langle \frac{\Delta T}{T}\rangle ^{2}\), induced by Doppler-shifts.
The CMB intensity increases towards higher redshifts and thus the tSZ signal starts off at a higher level at \(z>0\), remaining constant relative to the CMB intensity. Alternatively, this can be understood qualitatively as the scattering events producing a fractional change in the intensity of the CMB that would be constant for an observer at any given epoch.
Derivatives of the blackbody occupation number, \(n_{\mathrm{bb}}=1/({\mathrm{e}^{x}}-1)\), can be given in closed form using Eulerian numbers, \(\bigl\langle \begin{array}{c} k \\ m \end{array} \bigr\rangle\), yielding \(x^{k}\partial^{k}_{x} n_{\mathrm{bb}}=(-x)^{k} {\mathrm{e}^{-x}}/(1-{\mathrm{e}^{-x}})^{k+1}\,\sum_{m=0}^{k-1} \bigl\langle \begin{array}{c} k \\ m \end{array} \bigr\rangle\mathrm{e}^{-mx}\) (Chluba et al. 2012b).
With the condition \(\gamma h \nu\ll {m_{\mathrm{e}}}c^{2}\) such that Klein-Nishina corrections are still negligible.
Here we used a property of the scattering kernel that implies \(P(s, p)\equiv P(-s, p)/{\mathrm{e}^{-3s}}\).
The parameter \(\beta\) in this context refers to the ratio of thermal to magnetic pressure, \(p_{\mbox{ mag}}=B^{2}/(2 \mu_{0})\).
The reference radius \(r_{500}\) is a convention adopted simply as a reflection of what contemporary instrumentation circa 2007 could probe, rather than being motivated by cluster physics.
Ideally one would measure mass-weighted temperature, \({T_{\mbox{ mw}}}\equiv \frac{\int{T_{\mathrm{e}}}(\ell) \, {n_{\mathrm{e}}}(\ell) \, {\mathrm{d}}\ell}{\int{n_{\mathrm{e}}}(\ell) \, {\mathrm{d}}\ell} \propto y/\tau_{\mbox{ e}}\), rather than one weighted by Compton-\(y\).
Recall that 100 hours is 360 ksec, and most SZ observations are only a few to tens of hours.
We note that much of the kSZ and rSZ work reported here relied on Herschel observations for submm source subtraction, and the number of clusters observed by Herschel during its lifetime is quite limited. On the submm observational side, CCAT-prime (Sect. 6.2.5) may be the clearest near-term successor to Herschel, with nearly twice the resolution and a longer expected project lifetime, while e.g. ALMA (Sect. 6.1.1) or AtLAST (Sect. 6.2.8) could constrain the flux densities of compact sources directly in each band of interest.
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Acknowledgements
We thank ISSI for the opportunity to provide this invited review. T.M. is supported for scientific activities by ESO’s Directorate for Science. D.N. acknowledges Yale University for granting a triennial leave and the Max-Planck-Institut für Astrophysik for hospitality when this work was carried out. J.C. is supported by the Royal Society as a Royal Society University Research Fellow at the University of Manchester, U.K. R.A. acknowledges support from Spanish Ministerio de Economía and Competitividad (MINECO) through grant number AYA2015-66211-C2-2. K.B. acknowledges partial funding from the Transregio programme TRR33 of the Deutsche Forschungsgemeinschaft (DFG). A.T.C. is supported by the National Science Foundation Astronomy and Astrophysics Postdoctoral Fellowship under Grant No. 1602677. F.M., L.P., J.F.M.P., and F.R. acknowledge funding from the French ANR under the contract ANR-15-CE31-0017 and from the ENIGMASS LabEx.
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Clusters of Galaxies: Physics and Cosmology
Edited by Andrei Bykov, Jelle Kaastra, Marcus Brüggen, Maxim Markevitch, Maurizio Falanga and Frederik Bernard Stefan Paerels
Appendix
Appendix
This appendix covers some of the practical aspects common to observations of the SZ effect. What follows are observational considerations like beam size, beam solid angle, and how to compare sensitivity in common units like \(\mbox{Jy}/\mbox{beam}\), \(\upmu\mbox{K}\), and \(\upmu\mbox{K}_{\mbox{ CMB}}\mbox{-arcmin}\).
1.1 A.1 Beam Size
After frequency and sensitivity, the primary observational considerations are resolution and scales recovered. The scales recovered differ for observations with an interferometric array and for photometric measurements with a bolometric array on a single dish, and are considered in Sect. 5.1 and Sect. 5.2, respectively.
The full width at half maximum \(\theta_{\mbox{ FWHM}}\) for the main beam of a diffraction limited telescope can be approximated as a Gaussian,
for wavelength \(\lambda\) and dish diameter \(D\). Any power outside of this main beam, such as that due to ‘side lobes’ (see e.g. Thompson et al. 2017), is often referred to as the ‘error beam,’ and can often be characterised with a wider Gaussian of lower amplitude. In practice, \(\theta_{\mbox{ FWHM}}\) is often slightly larger due to under-illumination of the primary and imperfect focusing. The solid angle \(\varOmega_{\mbox{ bm}}\) subtended by a beam with \(\theta_{\mbox{ FWHM}}\) is
For instance, the 100-m Green Bank Telescope operating at 90 GHz (3.3 mm) would have a diffraction limited FWHM of \(8.38^{\prime\prime}\) and a corresponding beam volume \(\varOmega_{\mbox{ bm}} = 80\) square arcseconds; however, in practice the under-illumination yields a main beam which, if fitted by single Gaussian would have \(\theta_{\mathrm{FWHM}} \approx9.5^{\prime\prime}\). Surface imperfections create an error beam, such that the total beam volume is better estimated as \(\varOmega_{\mbox{ bm}} = 120~\mbox{square arcseconds}\).
1.2 A.2 Surface Brightness
The surface brightness \(S_{\nu}\) in units of flux density per beam (in \(\mbox{Jy}/\mbox{bm}\)) is related to intensity \(\Delta I_{\nu}\) (Eqs. (2), (7), & (9)) by integrating over the beam solid angle:
Generically, one can convert between intensity \({\Delta I}\) and a change in the CMB temperature \({\Delta T_{\mbox{ CMB}}}\) using the derivative of the blackbody function. The ratio is
where the primary CMB intensity normalisation \(I_{0}\) was defined in Eq. (3).
1.3 A.3 CMB Survey Noise
The RMS noise in maps made using arcminute-resolution CMB instruments, such as those from ACT and SPT, are often compared in units of \(\upmu\mbox{K}_{\mbox{ CMB}}\mbox{-arcmin}\), defined as the RMS of the CMB temperature fluctuations \(\Delta T_{\mbox{ CMB}}\) within a map created with pixels that each subtend a solid angle of \(1~\mbox{arcmin}^{2}\). To convert this figure to the RMS of CMB temperature fluctuations within a given instrument’s beam, one would divide by the square root of the beam solid angle in square arcminutes (Eq. (19)). For example, a map made from an instrument with \(\varOmega_{\mbox{ bm}} = 120\) square arcseconds (\(0.033~\mbox{arcmin}^{2}\)) with an RMS noise of \(10~\upmu\mbox{K}_{\mbox{ CMB}}\) per beam would correspond to \(1.8~\upmu\mbox{K}_{\mbox{ CMB}}\mbox{-arcmin}\). This conversion assumes the noise properties in the maps are Gaussian and uncorrelated on the scales being binned, which is a simplification that is not generically applicable.
1.4 A.4 Rayleigh-Jeans Brightness Temperature
Many instruments report sensitivities in Rayleigh-Jeans brightness temperature
which at \(\nu> 40\mbox{ GHz}\) can diverge significantly from the temperature decrement in the CMB, \(\Delta T\), in units of \(K_{ \mbox{ CMB}}\). This relation can also be expressed in surface brightness units (e.g. using Eq. (20)), as
Brightness temperature can be trivially converted to units more directly applicable to CMB and SZ measurements. Following Finkbeiner et al. (1999), this conversion, called the ‘Planck correction factor’, is
where \(x\) is defined as it was for Eq. (2). In Table 2, we provide computations of the ratio of \(\Delta T_{\mbox{ CMB}}/T_{\mathrm{b}}\) for a few representative frequencies.
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Mroczkowski, T., Nagai, D., Basu, K. et al. Astrophysics with the Spatially and Spectrally Resolved Sunyaev-Zeldovich Effects. Space Sci Rev 215, 17 (2019). https://doi.org/10.1007/s11214-019-0581-2
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DOI: https://doi.org/10.1007/s11214-019-0581-2