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9. Sunyaev-Zel'dovich effect data

The techniques discussed in Section 8 have been used to search for the thermal and kinematic Sunyaev-Zel'dovich effects towards a large number of clusters, and the non-thermal Sunyaev-Zel'dovich effects towards a few radio galaxies. Over the past few years this work has been increasingly successful, because of the high sensitivity that is now being achieved, and the careful controls on systematic errors that are used by all groups. The most impressive results are those obtained from radio interferometers, which are producing images of the cluster Sunyaev-Zel'dovich effects that can be compared directly with images of cluster X-ray structures. In the present section I collect all published results on Sunyaev-Zel'dovich effects of which I am aware, and review the reliability of the measurements.

9.1. Cluster data

Table 4 contains the final result measured in each series of observations for each of the clusters that has been observed in the Sunyaev-Zel'dovich effect. Not all papers in Tables 1, 2, and 3 are represented in Table 4, since I have excluded interim reports where they have been superseded by later work (which often involves improved calibrations and assessments of systematic errors). The column marked ``O/C'' reports whether the quoted value of DeltaTRJ is as observed or as deconvolved, by the observers, into some central estimated Sunyaev-Zel'dovich effect. As explained in Secs 8.2 and 8.3, model-fitting to produce a central decrement is commonly used when only a small fraction of the central decrement can be recorded by the telescope.

Table 4. Final cluster center results

Object Redshift DeltaTRJ (mK) O/C Reference

Abell 71 0.0724 +0.29 ± 0.54 O Birkinshaw et al. 1981b
Abell 347 0.0187 +0.34 ± 0.29 O Birkinshaw et al. 1981b
Abell 370 0.373 > -0.20 O Liang 1995
Abell 376 0.0489 +1.88 ± 0.78 O Lake & Partridge 1980
+1.22 ± 0.35 O Birkinshaw et al. 1981b
Abell 401 0.0748 -0.4 ± 1.2 O Rudnick 1978
+0.78 ± 0.62 O Birkinshaw et al. 1981b
-0.64 ± 0.18 O Uson 1986
Abell 426 0.0183 +3.67 ± 1.12 O Lake & Partridge 1980
Abell 478 0.0900 -0.71 ± 0.47 O Birkinshaw et al. 1981b
+0.44 ± 0.32 O Birkinshaw & Gull 1984
+2.0 ± 3.2 O Radford et al. 1986
-0.2 ± 1.0 O Chase et al. 1987
-0.38 ± 0.03 O Myers et al. 1997
Abell 480 [0.24] -2.08 ± 1.49 O Birkinshaw & Gull 1984
Abell 506 0.1561 +0.63 ± 0.76 O Perrenod & Lada 1979
Abell 508 0.1479 +1.62 ± 1.27 O Birkinshaw & Gull 1984
Abell 518 0.1804 -1.56 ± 0.83 O Perrenod & Lada 1979
Abell 545 0.1540 +1.68 ± 0.45 O Lake & Partridge 1980
+0.51 ± 0.43 O Uson 1985
Abell 576 0.0381 -1.27 ± 0.28 O Lake & Partridge 1980
-1.12 ± 0.17 O Birkinshaw et al. 1981b
+1.10 ± 0.44 O Lasenby & Davies 1983
-0.14 ± 0.29 O Birkinshaw & Gull 1984
+0.50 ± 0.29 O Radford et al. 1986
Abell 586 0.1710 -0.09 ± 0.38 O Birkinshaw & Gull 1984
Abell 665 0.1816 -1.30 ± 0.59 O Perrenod & Lada 1979
-1.04 ± 0.70 O Lake & Partridge 1980
-0.53 ± 0.22 O Birkinshaw et al. 1981b
+0.03 ± 0.25 O Birkinshaw & Gull 1984
-0.37 ± 0.14 O Uson 1986
-0.24 ± 0.04 O Grainge 1996
-0.37 ± 0.07 O Birkinshaw et al. 1998
Abell 669 [0.32] +0.38 ± 0.24 O Birkinshaw & Gull 1984
Abell 697 0.282 -0.13 ± 0.02 O Grainge 1996
Abell 773 0.1970 -0.18 ± 0.04 O Grainge et al. 1993
-0.31 ± 0.04 O Carlstrom et al. 1996
Abell 777 0.2240 -0.22 ± 0.45 O Lake & Partridge 1980
Abell 910 0.2055 +0.22 ± 0.56 O Lake & Partridge 1980
Abell 990 0.144 -0.13 ± 0.03 O Grainge 1996
Abell 1204 0.1706 -0.10 ± 0.36 C Matsuura et al. 1996
Abell 1413 0.1427 -2.7 ± 11.1 O Radford et al. 1986
+2.55 ± 0.92 O Radford et al. 1986
+0.15 ± 0.39 O Radford et al. 1986
-0.15 ± 0.02 O Grainge et al. 1996
Abell 1472 [0.30] -1.26 ± 1.02 O Perrenod & Lada 1979
Abell 1656 0.0232 -1.0 ± 0.5 O Parijskij 1972
+0.8 ± 1.8 O Rudnick 1978
-0.20 ± 0.22 O Lake & Partridge 1980
+0.88 ± 0.50 O Birkinshaw et al. 1981b
-0.27 ± 0.03 O Herbig et al. 1995
-0.31 ± 0.40 C Silverberg et al. 1997
Abell 1689 0.1810 -1.15 ± 0.87 O Lake & Partridge 1980
+0.24 ± 0.38 O Birkinshaw & Gull 1984
-1.87 ± 0.32 C Holzapfel et al. 1997b
Abell 1704 0.2200 > -0.12 O Carlstrom et al. 1996
Abell 1763 0.1870 -0.36 ± 0.25 O Uson 1985
Abell 1795 0.0616 +0.2 ± 0.9 O Meyer et al. 1983
Abell 1904 0.0708 +0.55 ± 0.40 O Birkinshaw et al. 1981b
Abell 1914 0.171 -0.15 ± 0.04 O Grainge 1996
Abell 1995 0.318 -0.17 ± 0.05 O Grainge 1996
Abell 2009 0.1530 -0.67 ± 0.37 O Radford et al. 1986
Abell 2079 0.0662 -0.05 ± 0.25 O Lake & Partridge 1980
Abell 2125 0.2465 +0.73 ± 0.45 O Lake & Partridge 1980
-0.39 ± 0.22 O Birkinshaw et al. 1981b
-0.31 ± 0.39 O Birkinshaw & Gull 1984
Abell 2142 0.0899 -0.48 ± 0.78 O Lake & Partridge 1980
-1.4 ± 1.0 O Birkinshaw et al. 1981b
-0.44 ± 0.03 O Myers et al. 1997
Abell 2163 0.201 -1.62 ± 0.22 C Holzapfel et al. 1997b
> -0.19 O Liang 1995
Abell 2199 0.0302 -2.2 ± 1.2 O Rudnick 1978
Abell 2218 0.1710 -1.04 ± 0.48 O Perrenod & Lada 1979
+0.81 ± 0.39 O Lake & Partridge 1980
-1.05 ± 0.21 O Birkinshaw et al. 1981b
-1.84 ± 0.33 O Schallwich 1982
+0.18 ± 0.57 O Lasenby & Davies 1983
-0.38 ± 0.19 O Birkinshaw & Gull 1984
-0.29 ± 0.24 O Uson 1985
+3.5 ± 2.4 O Radford et al. 1986
+0.10 ± 0.27 O Radford et al. 1986
+0.26 ± 0.20 O Radford et al. 1986
+0.4 ± 0.7 C Partridge et al. 1987
-0.6 ± 0.2 O Klein et al. 1991
-0.90 ± 0.10 C Jones 1995
-0.68 ± 0.20 O Uyaniker et al. 1997
-0.40 ± 0.05 O Birkinshaw et al. 1998
-0.52 ± 0.15 O Tsuboi et al. 1998
Abell 2255 0.0800 +1.5 ± 3.0 O Rudnick 1978
Abell 2256 0.0601 -0.24 ± 0.03 O Myers et al. 1997
Abell 2319 0.0564 +1.0 ± 3.0 O Rudnick 1978
+1.37 ± 0.94 O Perrenod & Lada 1979
-0.14 ± 0.20 O Lake & Partridge 1980
-0.40 ± 0.29 O Birkinshaw et al. 1981b
+0.82 ± 0.60 O Birkinshaw & Gull 1984
Abell 2507 0.1960 +16.9 ± 1.1 O Birkinshaw & Gull 1984
Abell 2645 0.2510 +2.35 ± 0.70 O Lake & Partridge 1980
Abell 2666 0.0265 +0.62 ± 0.31 O Lake & Partridge 1980
+0.34 ± 0.29 O Birkinshaw et al. 1981b
Abell 2744 0.308 -2.1 ± 0.7 O Andreani et al. 1996
Abell 3444 0.254 > -0.19 O Liang 1995
CL 0016+16 0.5455 -0.9 ± 0.9 O Andernach et al. 1983
-0.72 ± 0.18 O Birkinshaw & Gull 1984
-0.50 ± 0.59 O Radford et al. 1986
-0.48 ± 0.12 O Uson 1986
-1.6 ± 1.0 O Chase et al. 1987
-0.43 ± 0.03 O Carlstrom et al. 1996
-0.33 ± 0.03 O Grainge 1996
-0.62 ± 0.09 O Birkinshaw et al. 1998
S 295 0.299 > -2.9 O Andreani et al. 1996
S 1077 0.312 -2.9 ± 1.0 O Andreani et al. 1996
J 1780.5BL 0.49 > -0.39 O Liang 1995
CL 1305+29 0.241 -0.28 ± 0.22 O Birkinshaw & Gull 1984
Zw 1370 0.216 > -0.25 O Grainge 1996
MS 2137-23 0.313 > -0.11 O Liang
PHL 957 2.3128 -0.60 ± 0.15 O Andernach et al. 1986
MS00365 1.25 > -0.20 O Jones et al. 1997
PG 0117+213 1.493 > -0.20 O Jones et al. 1997
PC 1643+4631 3.83 -0.13 ± 0.04 O Jones et al. 1997

Note. - The redshifts are shown in square brackets, as [0.30], when they are uncertain. Column 4 indicates whether the value for DeltaTRJ in the table is as observed (code O), or a calculated central decrement (code C).

The overall set of clusters for which Sunyaev-Zel'dovich effects have been sought does not constitute a well-defined sample in any sense. Early work on the Sunyaev-Zel'dovich effects concentrated on clusters with strong X-ray sources, or for which the radio source contamination was known to be small. Abell 426 (the Perseus cluster) is an example of a cluster observed for the first reason, despite its strong radio sources (Lake & Partridge 1980). Abell 665, on the other hand, was observed principally because it was known to be largely free of strong radio sources, but also because it is the richest cluster in the Abell catalogue (Birkinshaw et al. 1978a). With more sensitive X-ray surveys, X-ray images, and X-ray spectroscopy, several clusters with exceptional X-ray properties have also been observed. Examples are the high-luminosity cluster CL 0016+16 (Birkinshaw et al. 1981a), and the high-temperature cluster Abell 2163 (Holzapfel et al. 1997b).

More recently, there has been some effort to observe complete samples of clusters of galaxies selected on the basis of their X-ray or optical properties, since the interpretation of cluster Sunyaev-Zel'dovich effects in cosmological terms may be biased by the use of the ad hoc samples that have been assembled to date. Initial steps in these directions have been taken by, for example, Myers et al. (1997). At present, though, it is not possible to use the sample of clusters contained in Table 4 to make reliable statistical statements about the effects of clusters on the CMBR. Attempts to normalize a Sunyaev-Zel'dovich effect cluster luminosity function (e.g., Bartlett & Silk 1994a) based on these clusters may not be safe.

Extreme care is needed in interpreting the results given in this table. First, the datum that is recorded, DeltaTRJ, is the measured Sunyaev-Zel'dovich effect from the cited paper at the most significant level observed (code O), or the central Sunyaev-Zel'dovich effect in the cluster, as fitted based on some model of the cluster gas (code C), and which would be seen in the Rayleigh-Jeans limit if the cluster were observed with infinitely good angular resolution. That is, for C codes,

Equation 93 (93)

It is not simple to convert from the measured effects to the central effects, since proper account must be taken of the method used to observe the cluster and the efficiency factor eta (see Fig. 14, for example). For some observations, for example with multichannel bolometer systems, it may have been necessary for the observers to undertake a significant fitting exercise to extract the central DeltaTRJ, DeltaTRJ0, with the result depending on the model of the cluster gas adopted (Sec. 8.2). Clusters with only poor X-ray images are therefore difficult to assess, but in cases in which there is good X-ray data this fitting step is relatively reliable. Thus it can be shown, for example, that recent results for Abell 2218 are in much better agreement than is apparent from Table 4 (see later).

Many of the observations made with bolometers express their results in terms of y0, the central value of y through the target cluster. In those cases (e.g., Holzapfel et al. 1997b), I have converted the results to central decrements using (93). In cases where the peak beam-averaged value of DeltaTRJ is stated (e.g., Chase et al. 1987), that value is preferred in the table.

For the interferometric data, the measured flux densities on the most appropriate (usually lowest-resolution) maps have been converted into measured brightness temperatures using the synthesized beamsize quoted. That is, it is assumed that the synthesized beam is an elliptical Gaussian, with solid angle Omega ab (calculated from the full widths to half-maximum in two directions, h a x h b), and the brightness temperature is obtained from

Equation 94 (94)

which in convenient units, becomes (95)

Equation 95

In the case of the Partridge et al. (1987) data, I have estimated the error on the central Sunyaev-Zel'dovich effect from their visibility curves, taking rough account of the systematic errors in the data caused by correlator offsets.

For the radiometric results, which are the bulk of the entries in Table 4, the values of DeltaTRJ are taken directly from the papers. The results from Rudnick (1978) are given for a 2-arcmin FWHM structure at the cluster center, since this is the closest match to the resolution of the telescope used. Rudnick also quotes more sensitive results for DeltaTRJ at a number of larger angular scales by convolving the data. These larger scales may be more appropriate for some clusters.

In many cases the radiometric data have been adjusted for the effects of cluster and background radio sources. These adjustments are not necessarily consistent between the different papers: as further radio work has been done on the clusters, some have shown that substantial radio source corrections are needed (see, for example, Abell 2507). Sometimes the detections of these radio sources led to the cluster observations being abandoned (e.g., for Abell 426). For other clusters, later work may have used better source corrections and is often more reliable on these grounds alone. Many of the clusters with radiometric Sunyaev-Zel'dovich results reported here have had little supporting work on the radio source environment. This makes it difficult to assess the extent to which the results are affected by radio source contamination.

A number of trends are clear in Table 4. Early observations were dominated by single-dish radiometers (e.g., Birkinshaw et al. 1981b). More recently, the bolometric technique has been used, specially because of the interest in detecting the effect near 190 GHz, where the kinematic effect is more obvious (e.g., Holzapfel et al. 1997b). Finally, the completion of the Ryle array and the use of the OVMMA and BIMA for Sunyaev-Zel'dovich effect measurements has produced a series of sensitive maps of clusters (e.g., Jones et al. 1993; Carlstrom et al. 1996), where some evidence of the cluster structure is seen (e.g., for CL 0016+16; Carlstrom et al. 1996; Sec. 8.3).

Despite the increasing use of these new techniques, single-dish radiometry is still used - principally for survey work, to locate target clusters with significant Sunyaev-Zel'dovich effects that might be the subjects of detailed mapping later. Thus observations at OVRO with the 40-m telescope at present are concentrating on a sample of clusters selected because of their excellent exposures by the ROSAT PSPC. Myers et al. (1997) are making a survey of another sample of clusters with the OVRO 5.5-m telescope.

The results in Table 4 span more than 20 years of work on the Sunyaev-Zel'dovich effect, and involve a number of different techniques with different observing characteristics. Thus it is difficult to compare the results of different groups for any one cluster without taking detailed account of the structure of the cluster and the details of the method used. This causes the apparent disagreements between different groups' results to be accentuated. Nevertheless, there are clusters for which the data (particularly the more recent data) are largely in agreement, and clusters for which the situation is less clear.

Table 5. Abell 2218 internal consistency

DeltaTRJ (mK) Reference Telescope; frequency

-1.94 ± 0.54 Gull & Northover 1976 Chilbolton 25-m; 10.6 GHz
-1.09 ± 0.28 Birkinshaw et al. 1978a Chilbolton 25-m; 10.6 GHz
-1.49 ± 0.23 Birkinshaw et al. 1978b Chilbolton 25-m; 10.6 GHz
-1.05 ± 0.21 Birkinshaw et al. 1981b Chilbolton 25-m; 10.6 GHz
-0.38 ± 0.19 Birkinshaw & Gull 1984 OVRO 40-m; 10.7 GHz
-0.34 ± 0.05 Birkinshaw et al. 1984 OVRO 40-m; 20.3 GHz
-0.31 ± 0.13 Birkinshaw & Gull 1984 OVRO 40-m; 20.3 GHz
-0.39 ± 0.03 Birkinshaw & Moffet 1986 OVRO 40-m; 20.3 GHz
-0.36 ± 0.10 Birkinshaw 1986 OVRO 40-m; 20.3 GHz
-0.35 ± 0.09 Birkinshaw 1990 OVRO 40-m; 20.3 GHz
-0.40 ± 0.05 Birkinshaw et al. 1998 OVRO 40-m; 20.3 GHz

Consider, for example, the cluster Abell 2218, for which a particularly large number of measurements are available. First, consider the history of results for Abell 2218 obtained by the group with which I have been working. The published results from 1976 to 1996 are given in Table 5. These results are not independent: later results from the Chilbolton 25-m telescope included the data used in earlier papers, and the OVRO 40-m results also changed as more data were accumulated, and as the radio source corrections and data calibrations were better understood.

The internal consistency of the early data is clearly poor. The final result based on the Chilbolton data is only marginally consistent with the first published result, suggesting that the later data were quite inconsistent with the earlier data. Since a number of changes in the configuration of the Chilbolton system occurred during the period that data were taken, it is likely that this inconsistency arose from unrecognized systematic errors, possibly involving strong ground signals entering through distant sidelobes.

Later data, from the OVRO 40-m telescope, appear more consistent - the 10.7-GHz result and the 20.3-GHz results seem to be indicating that the value of DeltaTRJ towards the center of the cluster is about -0.35 mK. However, the observing characteristics of these observations was very different, and the low-significant detection at 10.7 GHz is due almost completely to a correction for contaminating radio sources near the center of the cluster.

If it is assumed that the atmosphere of Abell 2218 follows the model (64), and is isothermal, then the structural parameters beta = 0.65 ± 0.05 and thetac = 1.0 ± 0.1 arcmin derived from X-ray observations (Birkinshaw & Hughes 1994) may be used to calculate the efficiencies with which the cluster was observed by any telescope. For observations of the Sunyaev-Zel'dovich effect of Abell 2218 with the Chilbolton 25-m telescope, the OVRO 40-m telescope at 10.7 GHz, and the OVRO 40-m telescope at 20.3 GHz, these efficiencies are about 0.35, 0.49, and 0.60, respectively. The inferred central Sunyaev-Zel'dovich effects from the cluster according to the final results from these three telescope configurations are therefore -3.0 ± 0.6, -0.77 ± 0.38, and -0.67 ± 0.08 mK. The result from the Chilbolton 25-m telescope is clearly inconsistent with the other two measurements. Only a very contrived structure for the cluster atmosphere could cause such differences and be consistent with the other Sunyaev-Zel'dovich effect data and the X-ray image and spectrum. Thus an economical assumption is that the early data were badly contaminated by systematic errors, and should be discarded, and that the true central decrement from Abell 2218 is near -0.7 mK.

Another effect that can be seen in Table 5 is the strong variation in the errors quoted for the 20.3-GHz data as a function of time. The smallest error (± 0.03 mK, in Birkinshaw & Moffet 1986) represents the error on the data accumulated at that time if all the data are considered to be drawn from a single, static, Gaussian distribution. The largest error, ± 0.13 mK, in Birkinshaw & Gull (1984), is based on the smallest amount of data, under the same assumptions. On the other hand, the entry for Birkinshaw (1986) is based on substantially more data than in Birkinshaw & Moffet (1986), but includes a generous allocation for possible systematic errors. Later entries in the Table include further data, and were derived with detailed analyses for systematic errors. It should be noted that the final result in the table, -0.40 ± 0.05 mK, contains no contribution from the background CMBR anisotropies, so that the error represents the reproducibility of the measurement rather than the external error that would be achieved if Abell 2218 could be observed against another patch of the background radiation.

Of course, Table 5 illustrates principally the difficulty in measuring the Sunyaev-Zel'dovich effect signals in the presence of systematic errors with unknown characteristics: reductions in the error are principally achieved by stronger controls against systematic errors (for example by observing multiple regions of blank sky, performing checks for radio source contamination, and so on). More rigorous controls against systematic error are obtained by comparing the results from different groups who observe the same cluster in different ways. The most frequently-observed cluster is Abell 2218, and Table 6 lists the central decrements for Abell 2218 deduced from 16 independent measurements using the same model atmosphere as in discussion of Table 5.

Table 6. Abell 2218 external consistency

DeltaTRJ0 (mK) Reference

-2.6 ± 1.2 Perrenod & Lada 1979
+2.2 ± 1.1 Lake & Partridge 1980
-3.04 ± 0.61 Birkinshaw et al. 1981b
-4.49 ± 0.80 Schallwich 1982
+0.8 ± 2.4 Lasenby & Davies 1983
-0.77 ± 0.38 Birkinshaw & Gull 1984
-0.48 ± 0.39 Uson 1985
+7.8 ± 5.3 Radford et al. 1986
+0.21 ± 0.57 Radford et al. 1986
+0.46 ± 0.36 Radford et al. 1986
+0.40 ± 0.70 Partridge et al. 1987
-3.2 ± 1.1 Klein et al. 1991
-0.90 ± 0.10 Jones 1995
-0.88 ± 0.26 Uyaniker et al. 1997
-0.67 ± 0.08 Birkinshaw 1998
-0.68 ± 0.19 Tsuboi et al. 1998

It is at once apparent from Table 6 that the individual results are inconsistent: the early data are often scattered with dispersion several times their nominal error about the later data. In some of the early papers, large parasitic signals from ground spillover have been removed (e.g., Perrenod & Lada 1979), but there remains a suspicion that residual systematic errors are present in the data. Overall, the later data are in much better agreement. A notable exception is the result of Klein et al. (1991), where the measured decrement is consistent with predictions based on other data, but its location on the sky is far from the X-ray center of the cluster so that the implied central decrement in Table 6 is unrealistically large. If an average is taken over these data, and the most obviously discordant results are excluded, then the central decrement in Abell 2218 is found to be -0.74 ± 0.07 mK. The error here has been increased to take some crude account of the remaining discordance in the data (the value of chi2 = 15 with 10 degrees of freedom).

Table 7. Clusters with reliable Sunyaev-Zel'dovich effects

Cluster Recent measurement Independent confirmation

Abell 478 Myers et al. 1997 . . .
Abell 665 Birkinshaw et al. 1998 Grainge 1996
Abell 697 Grainge 1996 . . .
Abell 773 Carlstrom et al. 1996 Grainge et al. 1993
Abell 990 Grainge et al. 1996 . . .
Abell 1413 Grainge et al. 1996 . . .
Abell 1656 Herbig et al. 1995 . . .
Abell 1689 Holzapfel et al. 1997b . . .
Abell 2142 Myers et al. 1997 . . .
Abell 2163 Holzapfel et al. 1997b . . .
Abell 2218 Birkinshaw et al. 1998 Jones 1995
Abell 2256 Myers et al. 1997 . . .
CL 0016+16 Carlstrom et al. 1996 Birkinshaw et al. 1998

The Sunyaev-Zel'dovich effect results for Abell 2218 are generally in better agreement now than they were for the first few years of reported measurements. This suggests that several groups are now able to measure reliable Sunyaev-Zel'dovich effects, and based on this conclusion, I have collected into Table 7 the set of all Sunyaev-Zel'dovich effects that I believe are both significant (at > 4sigma) and reliable. These objects constitute a set for which a simultaneous analysis of the Sunyaev-Zel'dovich effect data and the X-ray data may provide useful constraints on the cluster atmospheres (Sec. 10), and possibly a measurement of the Hubble constant (Sec. 11). Of the thirteen clusters in the table, seven were first detected using single-dish radiometers, two using bolometers, and four using interferometers. Only four of these detections have independent confirmations at significance > 4sigma. Much work remains to be done to measure the Sunyaev-Zel'dovich effects in these clusters, and all three measurement techniques still have their place in Sunyaev-Zel'dovich effect research, although bolometer measurements are becoming more important, and interferometric maps of the effect are probably the most reliable.

Detections at lower significance exist for more objects, including the lines of sight towards two high-redshift quasars (PHL 957, Andernach et al. 1986; PC 1643+4631, Jones et al. 1997). These detections may arise from distant clusters of galaxies along the lines of sight, or from the host clusters of the quasars themselves, or from some other cause. However, if the Sunyaev-Zel'dovich effects arise from line-of-sight objects, then observations towards ``blank'' sky regions should show Sunyaev-Zel'dovich effects as often as observations towards the quasars - it is not yet clear whether this is the case, so the interpretation of these Sunyaev-Zel'dovich effects and the limits from observations of other quasars (Jones et al. 1997) or blank fields (Richards et al. 1997) is at present obscure.

Further complications in the interpretation of these results have arisen as deep optical and X-ray followups have been made. Thus for the PC 1643+4631 field, Saunders et al. (1997) find no cluster that might be responsible for a Sunyaev-Zel'dovich effect in deep optical images, and Kneissl, Sunyaev & White (1998) find no X-ray emission associated with hot gas. The interpretation of the CMBR anisotropy as a Sunyaev-Zel'dovich effect has become difficult because of the high redshift needed for a relatively massive cluster that could hold a detectable amount of hot gas (Bartlett et al. 1998). Alternative models involving kinematic effects from colliding QSO winds (Natarayan & Sigurdsson 1997), extreme Rees-Sciama effects, etc. are being considered, but seem implausible. Independent observational confirmation of the reality of these microwave background structures is therefore a priority: early results are yielding a mixed verdict.

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