Astronomy & Celestial Mechanics
the sky, computed
Concept

Stacking — where it appears

Averaging the signals of many faint objects aligned on their known positions, so that a signal too weak to detect in any one rises above the noise in the sum. It measures a population's mean property and hides the scatter around it.

Named by 2 essays across one field — each of them below, with the objects they name alongside it.

A cluster's mass written as a dipole on the microwave background. The change in microwave-background temperature caused by lensing behind a cluster of 3·10¹⁴ solar masses at redshift 0.5, where the unlensed background has a uniform gradient of 13 microkelvin per arcminute running left to right. Contours at ±0.5, ±1, ±1.5, ±2, ±2.5 μK: blue where the sky is warmer than it would have been, orange where it is cooler. The cluster bends light towards itself, so each point on the sky shows the temperature of a point a little closer to the cluster's centre: on the side towards which the gradient rises that point is colder, and the sky there is cooler than it would have been; on the downhill side it is warmer. The pattern is a dipole aligned with the gradient, peaking at 2.9 μK, and it carries the cluster's mass profile in its radial shape. Its orientation is set entirely by the background, not by the cluster, which is what lets it be told apart from the cluster's own emission.

A cluster weighed against the background behind it

Every cluster of galaxies has the same source behind it — the last-scattering surface, at a distance known to a fraction of a per cent — and bends that source's smooth gradient into a dipole of a few microkelvin. The dipole knows nothing about gas or galaxy shapes, so stacked over hundreds of clusters it is a mass scale that no hydrostatic assumption can bias.

cosmology · Sunyaev zeldovich One cluster weighed two ways, and the redshift where the two swap places. The fractional error on the mass of a single cluster of 3·10¹⁴ solar masses, on a logarithmic axis, against the cluster's redshift. Weighed by the shapes of the galaxies behind it (rising curves), the error is 50 per cent at redshift 0.3 and 750 per cent at 1.5 for a survey of today's depth, 10 galaxies per arcmin²; 26 per cent at redshift 0.3 and 187 per cent at 1.5 for a survey of the next depth, 30 galaxies per arcmin²: the galaxies far enough behind the cluster to be lensed by it run out. Weighed by the dipole it draws on the microwave background (nearly flat curves), the error is 461 per cent at 0.3 and 337 per cent at 1.5 for a map with 10 μK-arcmin of noise; 224 per cent at 0.3 and 153 per cent at 1.5 for a map with 3 μK-arcmin of noise — never good for one cluster, and almost the same at every distance, because the source is at redshift 1090. The curves cross at z = 1.22 (10 galaxies per arcmin², 10 μK-arcmin), z = 0.89 (10 galaxies per arcmin², 3 μK-arcmin), z = 1.77 (30 galaxies per arcmin², 10 μK-arcmin), z = 1.41 (30 galaxies per arcmin², 3 μK-arcmin). Below the crossing a galaxy survey weighs each cluster better; above it, only the background weighs it at all.

A mass scale checked near and carried far

A cluster can be weighed by the galaxies behind it or by the microwave background behind it, and the two share no systematic error. They do not share a redshift range either: the galaxies run out at about one, the background never does, and a comparison can only be made where both still work.

cosmology · Sunyaev zeldovich

Named alongside it

The objects these essays reach for when they reach for this one.

Cluster mass functionGravitational lensingHydrostatic biasMatched filterCritical surface densityDamping tailExcess surface densityKinetic sunyaev zeldovich effectNfw profilePhotometric redshiftShape noiseThe Sunyaev–Zel'dovich effect

All concepts