A ruler measured along and across
Assumes Baryon acoustic oscillations, Large-scale structure and Expansion.
The rung below this one established the sound horizon as a standard ruler: a fixed comoving length, imprinted on the matter distribution at recombination, visible as a one-in-two-hundred excess in the galaxy correlation function at about 150 megaparsecs, and calibrated from the microwave background.
A ruler measures a distance by subtending an angle. But this particular ruler is not a rod — it is a shell, a preferred separation in every direction at once, and a shell in a redshift survey is measured twice over.
Across the line of sight, the separation between two galaxies is an angle times a distance, so the feature’s angular size gives . Along the line of sight, the separation is a redshift interval, and a redshift interval is — so the same feature gives the expansion rate at that redshift rather than a distance integrated over one.
Two numbers from one bump
The distinction is worth stating precisely because it is the whole content of this rung.
A transverse separation is inferred from an angular separation on the sky. Converting the two requires the comoving angular-diameter distance , which is an integral of from zero to . So the transverse acoustic scale measures , a quantity that has the whole expansion history between here and there inside it.
A radial separation is inferred from a difference in redshift. Converting the two requires only — the expansion rate at that redshift, not integrated. So the radial acoustic scale measures .
No other observation in cosmology gives an expansion rate at a redshift. Every distance-based measurement — supernovae, lensing, the microwave background — constrains an integral, and integrals are insensitive to what happens over any short interval. A direct at half a dozen redshifts is a differential measurement of the same history, and it constrains a time-varying dark-energy equation of state in a way distances do not.
The test that needs no ruler
The ratio of the two is the useful part, and it is a different kind of measurement.
Write . It is dimensionless. Both observables carry a factor of and the ratio does not, so the ratio is a measurement of the geometry that does not require the ruler’s length to be known.
That is the Alcock–Paczyński test, proposed in 1979 for a completely different purpose. Its logic is not about the acoustic scale at all: it is the observation that any population of objects known to be statistically isotropic — spherical on average, with no preferred direction — must appear isotropic when the coordinates are computed correctly, and appears squashed or stretched when they are not.
The acoustic feature is the ideal application because its isotropy is not an assumption but a consequence: it was imprinted by a sound wave propagating through a medium with no preferred direction, at a time when nothing in the universe had a preferred direction, and it has expanded with the background since.
A ruler of unknown length can still measure a shape.
What contaminates it
A geometric distortion squashes the correlation function along the line of sight. So does a dynamical one, and separating them is the whole difficulty of the measurement.
Every galaxy’s radial coordinate comes from a redshift, and a redshift contains the galaxy’s own motion as well as the expansion. On large scales those motions are coherent — everything is falling towards the overdensities — so structures are compressed along the line of sight by a factor that depends on the growth rate of structure divided by the galaxy bias.
The compression is not small. For a typical survey it is of order twenty per cent in the quadrupole, which is far larger than the few per cent of Alcock–Paczyński distortion being looked for. Three things make the separation possible.
They have different scale dependences. The dynamical squashing acts on the broad-band shape of the correlation function at all separations; the geometric one acts on the position of the feature. Fitting the bump’s position while marginalising over a flexible broad-band model removes most of the sensitivity to the first.
They have different angular signatures at higher order. Both produce a quadrupole, but the velocity distortion also produces a hexadecapole with a fixed relation to it in linear theory, and that relation is a handle.
And the reconstruction step helps twice. Modern analyses estimate the displacement field from the observed density, move each galaxy back along it, and re-measure the correlation function. That sharpens the acoustic peak — undoing the smearing from bulk flows, which had broadened it by several per cent — and it removes much of the linear redshift-space distortion at the same time.
What was actually measured
The observation is a catalogue of positions and redshifts — a million or two galaxies over several thousand square degrees, from a spectroscopic survey — and the statistic is the two-point correlation function or its Fourier counterpart, measured in bins of separation and of angle to the line of sight.
Because the coordinates cannot be computed without a cosmology, the analysis assumes one: a fiducial cosmology, used only to turn angles and redshifts into separations. The fitted parameters are then the ratios of the true distances to the fiducial ones,
and the fit returns those two. The Alcock–Paczyński combination is their ratio, and it is the better-measured direction in the likelihood for surveys with modest volume.
For the eBOSS and DESI samples the individual precisions are one to two per cent on and two to three per cent on , at each of several effective redshifts from 0.3 to 2.3. The radial measurement is always the noisier one, because a survey has fewer independent modes along a narrow redshift shell than across the sky.
Why gravity does not move the feature
The whole method rests on a claim that deserves to be examined rather than asserted: that the acoustic scale is a fixed comoving length, unaffected by thirteen billion years of gravitational evolution.
It is not obviously true. Structure grows, matter flows towards overdensities, and everything in the density field moves. Why does a feature at 150 megaparsecs stay at 150 megaparsecs while everything around it changes?
The answer is that the displacements are small compared with the scale. Galaxies move by of order ten megaparsecs over the age of the universe, which is a few per cent of the acoustic scale — so the feature is blurred by that amount rather than shifted by it. A blur is symmetric to first order and does not move a peak’s centre.
To second order it does, and by a computable amount. The displacement field is itself correlated with the density, so a pair separated by the acoustic scale is slightly more likely to be pulled together than apart, and the peak shifts inwards by something like a third of a per cent at redshift zero. That is comparable with the statistical error of a modern survey, so it is not ignorable — it is calculated in perturbation theory, checked against simulations, and applied as a correction.
The reconstruction step reduces both effects at once. Estimating the displacement field from the observed density and moving the galaxies back undoes most of the blurring, sharpening the peak, and undoes most of the systematic shift with it. What is left after reconstruction is a shift of well under a tenth of a per cent, which is where the method’s robustness claim actually sits.
A standard ruler that is only approximately standard is still a ruler if the departure is calculable, and the reason this one is trusted at the per-cent level is that the departure has been computed three ways — analytically, in simulations, and by the improvement reconstruction produces — and the three agree.
Where the model stops
The fiducial cosmology leaves a residue. The analysis is designed so that the fitted parameters absorb the difference between the fiducial and the true cosmology, and to first order they do. If the fiducial is badly wrong the reconstruction step and the broad-band model are computed in the wrong coordinates, and the recovered position acquires a small bias. Tests on simulations bound this at a fraction of a per cent, which is currently below the statistical error and will not always be.
The bias of the tracers is not known. Galaxies are not matter; they are peaks in the matter field, and the relation between the two is a function that has to be marginalised over. It does not shift the acoustic position — that is the method’s central robustness claim, and it survives every simulation test — but it enters the velocity distortion and therefore the separation of the two effects.
The peak is broadened by non-linear evolution. Bulk flows displace galaxies by several megaparsecs, smearing a feature that started as a sharp shell. Reconstruction recovers most of it and not all, and how much is recovered depends on the density of the tracer sample.
And the picture cannot show the sphere. No shell is visible around any galaxy. What is measured is a half-per-cent excess in a statistic computed over millions of pairs, and the “sphere” is a property of the ensemble rather than of any object. The Alcock–Paczyński test is applied to something that is spherical only on average and only in a statistical sense, which is why it needs a survey volume of cubic gigaparsecs rather than a good image.
Why the radial measurement is the harder one
The asymmetry between the two observables is not an accident of any one survey and it is worth understanding, because it decides what the next generation of instruments is built for.
A survey covering a solid angle over a redshift shell of thickness contains a certain number of independent Fourier modes. Modes across the line of sight are limited by the survey’s angular extent, which for a wide survey is enormous; modes along it are limited by the shell’s depth, which is not. At a given redshift the radial extent of a useful shell is a few hundred megaparsecs and the transverse extent is several thousand, so there are simply fewer independent radial modes to measure the feature with.
There is a second, subtler cost. The radial coordinate is contaminated by peculiar velocities and the transverse one is not, so every systematic in the velocity model degrades the radial measurement alone.
The consequence is that comes out with roughly twice the error of from the same data. That matters more than the factor suggests: the radial measurement is the one that carries information a distance cannot supply, so the more valuable observable is the noisier one, and increasing survey depth improves it faster than increasing survey area does.
The currency is volume
Everything about how these surveys are designed follows from one counting argument, and it explains why the field’s instruments look the way they do.
The precision of a clustering measurement is set by the number of independent Fourier modes the survey samples at the relevant scale. A mode is a wave of a given wavelength and direction, and the number available at wavelength in a volume is roughly — so measuring a feature at 150 megaparsecs needs a volume of many cubic gigaparsecs before the counting statistics become tolerable.
That is a hard floor and it has nothing to do with the telescope. A perfect instrument observing every galaxy in a small volume still measures the acoustic scale badly, because there are only so many independent 150-megaparsec waves in a small box. The limit is called cosmic variance and it is the reason survey design is a question about volume rather than about depth or aperture.
Two consequences follow. Increasing the number of galaxies in a fixed volume helps only until the measurement stops being shot-noise limited and starts being sample-variance limited — beyond that, more spectra of the same volume buy nothing. And the optimal tracer is not the most numerous one but the one that samples the largest volume per unit of observing time, which for the highest redshifts means quasars rather than galaxies despite their being far rarer.
The same argument sets the ceiling. The observable universe contains a finite number of 150-megaparsec modes, so there is a best possible measurement of the acoustic scale, and the current surveys are within an order of magnitude of it at low redshift. Improving further means going to higher redshift, where the volume per unit redshift is larger and the structure is more linear — which is why the next generation of instruments is designed around tracers at redshift two and beyond.
There is a second ceiling worth naming and it is the one the Alcock–Paczyński ratio runs into rather than the distances. The ratio is measured from the anisotropy of the clustering, and the anisotropy has to be separated from the velocity distortion — so its precision is limited by how well the velocity model is known rather than by how many modes are available. Adding volume improves the distances indefinitely and improves the ratio only until the modelling floor is reached.
That reverses the usual ordering. For most of the field’s history the statistics were the limitation and the modelling was comfortably ahead; for the Alcock–Paczyński measurement specifically, the modelling reached its limit first, which is why the effort has moved from building larger surveys to characterising the small-scale velocity field the analysis has to marginalise over.
The same reversal has happened once before in this subject, on the microwave background, where the statistical limit was reached for temperature and the remaining information moved to polarisation. Which quantity is limiting is worth checking before an instrument is designed around improving the wrong one.
A measurement whose precision is set by how much universe is available is unusual, and the awareness that the limit is in sight rather than hypothetical has shaped the field’s planning for two decades.
The generalisation
Two ideas here are worth more than their application.
A shape is easier than a size. Measuring the ellipticity of something known to be round requires no calibration; measuring its diameter requires a standard. That is why the Alcock–Paczyński ratio is systematically cleaner than either of the distances it is built from, and it is the same reason a flux ratio is easier than a flux, a colour is easier than a magnitude, and a period is easier than a brightness. Every ratio removes whatever multiplies both halves.
And a coordinate that is not a length behaves differently from one that is. A redshift survey has two sky coordinates that are angles and one that is a velocity, and treating all three as positions is the source of both the opportunity and the contamination in this essay. The same structure appears wherever a map is built from a mixture of observables — a stellar position with a parallax and a proper motion, a spacecraft’s range and its plane-of-sky angle — and in each case the error ellipsoid is elongated along whichever axis was inferred rather than measured.
Where this ladder goes next
Later rungs on this anchor: reconstruction in detail, and why moving galaxies backwards along an estimated displacement field sharpens a feature that was blurred by the same field; the BAO measured in the Lyman-α forest at redshift 2.3, which is the only tracer available beyond the reach of galaxy surveys and gives the radial measurement more cleanly than the transverse one; the void–galaxy cross-correlation, in which the Alcock–Paczyński test is applied to voids and the distortion is larger; the consistency between the acoustic scale measured in the microwave background and in galaxies, which is a test of the expansion history over ten billion years; and the sound horizon as a free parameter, which is what a measurement of that does not assume the early universe requires.
About the same objects
Not linked from either essay — found by the objects both name.
- A constant that is an angle divided by a length degeneracy · sound horizon · standard ruler
- A map stretched by the thing it measures anisotropic clustering · correlation function · redshift space distortion
- A standing wave frozen at one instant sound horizon · standard ruler
- Too few clusters, or a scale that reads light angular-diameter distance · degeneracy
What links here
Essays that link to this one from their own argument.
- A map that is not of positions cosmology
The objects this essay names
Each one links to every other essay that touches it.
Alcock paczynskiAngular-diameter distanceAnisotropic clusteringBaryon acoustic oscillationsCorrelation functionDegeneracyExpansion historyFiducial cosmologyHubble parameterRedshift space distortionSound horizonStandard ruler