effect

Sunyaev–Zeldovich effect

The Sunyaev-Zeldovich effect is the distortion of the cosmic microwave background radiation by hot electrons in galaxy clusters.
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Description

In 1969, Soviet astrophysicists Rashid Sunyaev and Yakov Zeldovich predicted that hot intergalactic gas in galaxy clusters should leave an imprint on the cosmic microwave background. Plasma electrons, accelerated to enormous speeds, transfer energy to photons via inverse Compton scattering. The effect is like a 'fog' of electrons that slightly tints the background light. This allows us to see galaxy clusters at any distance, since the surface brightness of the effect does not depend on distance.

History

Predicted in 1969 by Rashid Sunyaev and Yakov Zeldovich in the context of studying the interaction of the CMB with hot intergalactic plasma. Nearly two decades later, in the early 1980s, the effect was first detected in clusters (e.g., the Coma cluster) using radio telescopes. It was further developed with the launch of space observatories WMAP and Planck, which provided detailed SZ effect maps, and with ground-based instruments like SPT and ACT. Sunyaev and Zeldovich also described the kinetic version of the effect, related to the bulk motion of the cluster.

How it works

Used in cosmology to detect and study galaxy clusters at high redshifts, estimate their mass and structure. Because the surface brightness of the SZ effect does not depend on distance (unlike apparent brightness), it serves as a powerful tool for cosmological tests, including constraints on dark energy parameters and cosmological models. The applicability is limited by the need to accurately separate the SZ signal from primary CMB anisotropy, as well as from dust and synchrotron emission.

In practice

An independent method to measure distances to galaxy clusters and study the large-scale structure of the Universe.

Fun fact

The Sunyaev-Zeldovich effect was one of the first methods to confirm the existence of dark energy, when it was used to measure distances to distant clusters and compare them with the expansion model.

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