This paper was converted on www.awesomepapers.org from LaTeX by an anonymous user.
Want to know more? Visit the Converter page.

On the Alignment of Galaxies in Clusters

Hrant M. Tovmassian 377, W. California 30
Glendale, CA, USA
J.P. Torres-Papaqui Departamento de Astronomía, Universidad de Guanajuato
Apartado Postal 144, 36000, Guanajuato, Mexico
Abstract

We explore the distribution of position angles (PA) of galaxies in clusters. We selected for study the isolated clusters, since the distribution of the galaxy orientation in clusters with close neighbors could be altered by gravitational influence of the latter. We assume that galaxies are aligned, if their number at one 90o90^{o} position angle interval is more than twice higher than at the other 90o90^{o} interval. We study the galaxy PA distribution at the outer regions of clusters with smaller space density, where the probability of the PA variation in the result of interactions between galaxies is smaller than at the dense central regions. We found that the alignment of galaxies is more often observed in poor clusters and concluded that originally galaxies were aligned, but in the result of accretion in time of field galaxies with arbitrary orientations and also due to the mutual interactions the relative number of aligned galaxies decreases.

galaxies: clusters – galaxies: alignment – galaxies: large-sale structure

1 Introduction

According to pancake scenario [1-3] galaxies form in the result of the gas-dust cloud collapse. At such case the angles (PA) of galaxies will naturally be aligned independent on the cluster mass. According to Miller & Smith [4], Salvador-Sole & Solanes [5] Usami & Fujimoto [6], the galaxies could be aligned also at the hierarchical scenario of the cluster origin due to the cluster tidal field. At the latter scenario the galaxies will be aligned predominantly in rich clusters. Thus the alignment of galaxies in clusters is a clue for explanation of their origin. Therefore a lot of efforts have been undertaken in the past for study the distribution of the position angles (PA) of galaxies in clusters. Some evidence on the alignment of galaxies with the parent cluster were reported by Sastry [7] Adams, Strom & Strom [8], Carter & Metcalfe [9], Binggeli [10], Struble & Peebles [11], Rhee & Katgert [12], Lambas et al. [13], Flin & Olowin [14], Fong, Stevenson & Shanks [15]. More certainly the alignment was found between orientations of the cluster and of the BCG (cD) [7-9, 16-22]. Plionis et al.[23] and Rong, Zhang & Liao [24] found an evidence that significant galaxy alignment is present in dynamically young clusters. Meanwhile, Dekel [25], van Kampen & Rhee [26], Trevese, Cirimele & Flin 27], Djorgovski [28] and Cabanela & Aldering [29] found no galaxy alignment, except the alignment of the BCG with its parent cluster. Chen et al. [30] found a statistically significant galaxy-filament correlation, but not on the galaxy-cluster alignment. Thus, the results on the study of the galaxy alignment in clusters were contradictory.

In this paper we undertook new search for alignment of galaxies and showed that galaxies are aligned mostly in poor clusters. We suggest that the primordial orientations of member galaxies were ordered at the cluster origin, but later on the assembly of field galaxies by the cluster and interactions between galaxies within the cluster introduce disorder in the galaxy orientations. We showed also that clusters in which the primordial alignment of galaxies preserved, do rotate.

2 The data

We study the possible alignment of galaxies in ACO [31] clusters. Many ACO clusters are themselves clustered [32-34]. The gravitational influence of the nearby cluster may affect on the orientation of galaxies in the studied cluster. In order to avoid this effect we studied isolated clusters. We compiled a list of 73 strongly isolated clusters with nearest neighbor located on sky at the projected distance >10>10 Mpc (Table 1). For comparison we studied also the clusters with smaller degree of isolation, with 5 to 9 Mpc projected distance to the nearest neighbor on sky. The list of the mild isolated 25 clusters is presented in Table LABEL:Table02. Redshifts of the selected clusters are z<0.1z<0.1 and they contain more than 20 galaxies within area with 2 Mpc radius. It is assumed that member galaxies of the most ACO clusters are located within 2 Mpc of the Abell radius [32], defined as RA=1.7/zR_{A}=1\arcmin.7/z (H0 = 72 kms1Mpc1km\,s^{-1}Mpc^{-1}) [35]. The member galaxies of clusters were retrieved from the SDSS-DR9 [36]. The galaxies with the primary mode (marked in the catalog as 1) and good quality of observations (marked by 3) were retrieved. According to [37] we retrieved galaxies with velocities within ±1500\pm 1500 km s-1 of the cluster velocity. PAs are those at rr band.

At the corresponding columns of Tables 1 and 2 the following information is given: the cluster designation, the redshift of the cluster and the number of galaxies in the cluster within 2 Mpc radius. The parameters of clusters are from NED.111The NASA/IPAC Extragalactic Database (NED) is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.

Table 1: The list of isolated clusters with nearby neighbor at projected distance >10>10 Mpc.
Cluster zz N2N_{2} Cluster zz N2N_{2}
A595 0.0666 48 A1552 0.0858 74
A602 0.0619 62 A1564 0.0792 52
A634 0.0265 102 A1599 0.0855 25
A635 0.0925 34 A1609 0.0891 27
A660 0.0642 25 A1616 0.0833 48
A671 0.0502 98 A1630 0.0648 36
A690 0.0788 49 A1684 0.0862 27
A692 0.0894 50 A1692 0.0842 49
A695 0.0687 27 A1750 0.0852 91
A699 0.0851 31 A1781 0.0618 45
A724 0.0933 46 A1783 0.0690 50
A727 0.0951 58 A1809 0.0791 94
A744 0.0729 32 A1812 0.0630 28
A757 0.0517 49 A1825 0.0595 30
A779 0.0225 115 A1827 0.0654 41
A819 0.0759 20 A1849 0.0963 27
A834 0.0709 35 A1864 0.0870 51
A858 0.0863 26 A1890 0.0574 83
A1024 0.0734 49 A2018 0.0878 50
A1028 0.0908 26 A2019 0.0807 24
A1035 0.0684 59 A2022 0.0578 78
A1066 0.0690 83 A2048 0.0972 61
A1126 0.0646 33 A2082 0.0862 24
A1139 0.0398 50 A2107 0.0411 130
A1142 0.0349 64 A2108 0.0919 48
A1168 0.0906 41 A2110 0.0980 27
A1169 0.0586 79 A2122 0.0661 72
A1238 0.0733 68 A2142 0.0909 123
A1270 0.0692 63 A2148 0.0877 30
A1307 0.0817 67 A2162 0.0322 47
A1314 0.0335 119 A2178 0.0928 24
A1371 0.0398 61 A2205 0.0876 39
A1424 0.0768 72 A2255 0.0806 122
A1480 0.0734 31 A2366 0.0529 53
A1507 0.0604 57 A2593 0.0413 138
A1516 0.0769 60 A2630 0.0667 37
A1541 0.0893 79
Table 2: The list of mild isolated clusters with nearby neighbor at projected distance 5<d<95<d<9 Mpc.
Cluster zz N2N_{2} Cluster zz N2N_{2}
A912 0.0446 21 A1691 0.0721 75
A933 0.0956 47 A1775 0.0717 60
A1100 0.0463 53 A1795 0.0625 103
A1149 0.0710 37 A1831 0.0615 37
A1185 0.0325 182 A1927 0.0945 35
A1205 0.0754 46 A1983 0.0436 149
A1267 0.0329 28 A1991 0.0587 99
A1291 0.0527 84 A2029 0.0773 77
A1468 0.0844 31 A2065 0.0726 115
A1589 0.0725 100 A2089 0.0711 60
A1638 0.0620 33 A2092 0.0669 50
A1650 0.0838 59 A2149 0.0679 40
A1663 0.0843 60

3 Analysis

We used a simple method for search of the alignment of the orientation of galaxies in clusters. We divided the range of PAs of galaxies in each cluster into two 90o90^{o} sections so that to have high number (NhN_{h}) of galaxies at one section and small number (NsN_{s}) of galaxies at the other section. We assume that there is an alignment signal, if the number of galaxies at one 90o90^{o} section is by at least 2 times higher than at the other 90o90^{o} section.

A primordial galaxy alignments in clusters could be severely damped by the violent relaxation, by the exchange of angular momentum in galaxy interactions over a Hubble time [38] that mostly occur in the dense cluster environment. Therefore, we first searched the orientation of galaxies in the outer area of clusters at the ring with cluster-centric radii 1÷21\div 2 Mpc.

The results of counts in the outer ring of clusters with smaller degree of isolation is presented in Table 4. In the corresponding columns of Table 3 the following information is given: 1st - the cluster designation; 2d - the interval of PAs at which the high number of galaxies are distributed; 3d - the number NhN_{h} of galaxies at this section; 4th - the number of galaxies at the opposite section; 5th - the ratio Nh/NsN_{h}/N_{s} at the searched region. In these clusters the alignment signal was found only for 8 out of 26 clusters, 32%.

At the ring with cluster-centric radii 1÷1\div 2 Mpc 43 clusters out of 73, i.e 59% have alignment signal (Table 3). Note that in the case of a random distribution of PAs the numbers of galaxies in two 90o90^{o} intervals could occasionally differ from each other by more than 2 times. In order to verify whether the the found number of clusters with alignment signal are real or are a result of random distribution of the galaxy PAs we applied non-parametric bootstrapping statistical test making 1000 simulations. The same statistical test was applies below for checking the reality of the found alignments in other cluster samples.

The probability that in 43 clusters out of 73 the ratio Nh/NsN_{h}/N_{s} exceeds 2 is real and is not a result of a random distribution is 58.90% of success and a 95 percent confidence interval from 46.76% to 70.29% with a p-value = 0.01597. The p-value or probability value (¿0.05) is the probability of obtaining test results at least as extreme, as the results actually observed during the test, assuming that the null hypothesis is correct. Hence, the probability that the found galaxy alignments at rings are real, is sufficiently high.

Table 3: The list of strongly isolated clusters with alignment signal for galaxies at the ring with radii 1÷21\div 2 Mpc.
Cluster IPAI_{PA} NhN_{h} NsN_{s} (NhNs)1÷2\left(\frac{N_{h}}{N_{s}}\right)_{1\div 2}
degree
A595 37-122 12 3 4.0
A635A 78-165 8 2 4.0
A660A 160-69 12 4 2.2
A695A 26-107 9 3 3.0
A699A 82-158 12 6 2.0
A724 171-81 14 3 4.7
A744A 2-86 7 3 2.3
A819A 23-113 7 3 2.3
A834 18-106 15 4 3.75
A858 56-136 8 2 4.0
A1028A 1-89 9 4 2.25
A1035A 69-158 8 4 2.0
A1126A 18-108 11 5 2.2
A1139 6-96 12 6 2.0
A1168 3-84 12 5 2.4
A1169 20-108 23 8 2.9
A1238A 102-10 23 7 3.3
A1270 69-159 17 7 2.4
A1307 164-74 24 11 2.2
A1371 39-121 18 7 2.6
A1480A 161-70 11 5 2.2
A1516A 76-160 18 8 2.25
A1541 64-144 25 7 3.6
A1552 131-41 24 12 2.0
A1599A 100-3 7 3 2.3
A1616A 2-89 16 6 2.7
A1684A 68-156 8 4 2.0
A1781A 68-156 19 7 2.7
A1783A 88-167 12 3 4.0
A1809A 15-103 24 12 2.0
A1812A 32-122 12 4 3.0
A1825A 115-20 11 5 2.2
A1849A 73-150 9 2 4.5
A2018A 44-131 21 7 2.6
A2019A 75-156 9 4 2.25
A2082A 144-40 11 1 11.0
A2108 32-108 12 3 4
A2110 91-180 11 3 3.7
A2122A 51-141 22 11 2.0
A2148 108-18 8 3 2.3
A2178A 51-133 9 4 2.25
A2366A 85-170 9 4 2.25
A2630A 44-132 10 2 5

The orientations of 19 clusters with alignment signal studied in this paper were determined by Plionis [19]. In Figure 1 the distribution of PAs of galaxies in these clusters and the PAs of the cluster large axis determined by Plionis [19] are shown. The PAs of the large axes of 14 clusters are within interval of PAs of aligned galaxies. For 2 clusters, A1783 and A1812, the PA of their large axes fall into the interval of PAs of aligned galaxies, if to take into account the errors of the PA measurements [19] about 30o30^{o}. The PAs of large axes of only 3 clusters, A1126, A1139, and A1812 are out of the 90o90^{o} interval of the PAs of galaxies with alignment signal. The probability of 16 chance coincidences out of 19 is sufficiently small, 0.01. Even with exclusion of A1783 and A1812, the probability of the chance coincidences of 14 out of 19 is still small, 0.02. The coincidence of the cluster large axes orientation with the interval of PAs of the majority of the cluster galaxies shows that the applied simple method for searching the alignment of galaxies in clusters is reliable.

Refer to caption
Figure 1: The comparison of the distribution of PAs of galaxies in clusters with alignment signal with the cluster PA from Plionis [19] shown by dotted line. In cases of A1783 and A2122 the interval of the errors of the PA of the large axes of the cluster are also shown.

The results of counts in the outer ring of clusters with smaller degree of isolation and at the central area of strongly isolated clusters are presented respectively in Table 4 and Table 5 identical to Table 1.

Table 4: The list of the mild isolated clusters with alignment signal for galaxies at the ring with radii 1÷21\div 2 Mpc.
Cluster IPAI_{PA} NhN_{h} NsN_{s} (NhNs)1÷2\left(\frac{N_{h}}{N_{s}}\right)_{1\div 2}
degree
A933 24-111 18 8 2.25
A1100 83-180 15 7 2.1
A1119 63-157 8 4 2.0
A1205 96-171 8 4 2.0
A1267 43-140 13 4 3.25
A1468 124-6 9 4 2.25
A1775 45-132 37 17 2.2
A1927 57-141 17 4 4.25
A2149 16-104 12 4 3.0
Table 5: The list of clusters with aligned galaxies at the cluster central region.
Cluster IPAI_{PA} NhN_{h} NsN_{s} (NhNs)1\left(\frac{N_{h}}{N_{s}}\right)_{1}
degree
A595 37-122 12 3 2.1
A660A 160-69 12 4 2.0
A695A 26-107 9 3 2.7
A727 16-106 22 17 2.8
A744A 2-86 7 3 4.5
A834 18-106 15 4 3.0
A1028A 1-89 9 4 2.25
A1126A 18-108 11 5 3.0
A1168 3-84 12 5 2.7
A1238A 102-10 23 7 2.75
A1371 39-121 18 7 2.0
A1541 64-144 25 7 2.5
A1552 131-41 24 12 2.2
A1564A 32-122 13 12 2.25
A1599A 100-3 7 3 2.0
A1616A 2-89 16 6 2.7
A1630A 7-96 7 4 2.6
A1692 9-96 17 9 3.0
A1750A 13-103 36 23 2.7
A1781A 68-156 19 7 2.1
A1812A 32-122 12 4 3.0
A2019A 75-156 9 4 2.7
A2048 0-90 19 14 2.1
A2082A 144-40 11 1 3.0
A2108 32-108 12 3 3.1
A2122A 51-141 22 11 2.2
A2205A 46-136 14 10 2.0

In the outer ring of clusters with smaller degree of isolation the alignment signal is found only for 8 out of 25 clusters, 32%. The probability that the found alignment signal in the ring of 8 out of 25 clusters is real, is 32.00% of success with a 95 percent confidence interval from 14.94% to 53.50% with a p-value = 0.01078.

At the central region of strongly isolated clusters the alignment signal is found for 27 clusters, 36%, out of the studied 73. The probability that the alignment at the central area of clusters does not occur by chance and is real is 36.98% of success and a 95 percent confidence interval from 25.97% to 49.08% with a p-value = 0.01442. Hence, the found alignment of galaxies in both cluster samples are caused rather by random distribution of the galaxy PAs and are not real.

3.1 The dependence of the alignment on the cluster richness

The alignment of galaxies could depend on the richness of clusters and/or on the absolute magnitude of the observed galaxies, i.e. on the cluster redshift. In order to find out whether the alignment signal depends on the cluster richness or distance we split the list of 73 strongly isolated clusters into two parts: with low and high redshift clusters, and also poor and rich ones. In the consecutive lanes of Table 6 the average redshift zz, the average number N2N_{2} of galaxies, the minimal absolute magnitude <Mr><M_{r}> in rr-band for the average redshift, the number NasN_{as} of galaxies with alignment signal and the ratio Nas/NtN_{as}/N_{t} of the number of clusters with alignment signal to the total number of clusters are presented for nearby (column 2) and distant (column 3) clusters. In Table 7 the same data are presented for samples of rich and poor clusters.

Table 6: The parameters of the nearby and distant clusters.
Nearby clusters Distant clusters
<z><z> 0.0565±\pm0.0143 0.0860±\pm0.0066
<N2><N_{2}> 62±\pm30 50±\pm26
<Mr><M_{r}> -19.09 -20.02
NasN_{as} 19 24
Nas/NtN_{as}/N_{t} 0.51±\pm0.12 0.65±\pm0.13
Table 7: The parameters of poor and rich clusters.
Rich clusters Poor clusters
zz 0.0655±\pm0.0207 0.0774±\pm0.0143
<N2><N_{2}> 77±\pm25 35±\pm9
<Mr><M_{r}> -19.47 -19.78
NasN_{as} 15 28
Nas/NtN_{as}/N_{t} 0.40±\pm0.10 0.76±\pm0.14

Table 6 shows that difference between relative numbers of galaxies with alignment signal in nearby and distant clusters is not high, although the distant clusters are on average by 1.5 times farther and the limiting absolute MrM_{r} magnitudes of galaxies in this clusters differ by about 1m1^{m}. The average total numbers of galaxies in clusters of both samples also does not differ from each other significantly. The relative number of nearby clusters with alignment signal is 0.51 with 50.06% of success and 95 percent confidence interval from 38.71% to 62.59% with a p-value = 3.182e-03. The relative number of distant clusters with alignment signal is 0.65, with 64.38% of success and a 95 percent confidence interval from 52.30% to 75.25% with a p-value = 1.818e-04.

The situation is different when we compare rich and poor clusters. Table 7 shows that the differences between the average redshifts and the limiting absolute magnitudes MrM_{r} of these two samples are smaller in comparison to those in nearby and distant clusters. However, the relative number of poor clusters with alignment signal is by about 2.6 times higher in comparison to rich ones. The relative number of rich clusters with alignment signal is 0.40 with 39.72% of success and a 95 percent confidence interval from 28.45% to 51.85% with a p-value = 1.173e-02. The relative number of poor clusters with alignment signal is 0.76 with 75.34% of success and a 95 percent confidence interval from 63.85% to 84.68% with a p-value = 1.514e-085. Thus, in poor clusters the probability of the reality of the found alignment is sufficiently high, about 80%.

4 Discussion and Conclusions

By study of the distribution of PAs of galaxies in the ring with radii 1÷21\div 2 Mps of 73 strongly isolated clusters the alignment signal is found in 43 clusters, i.e. in about 60%. Such high number of clusters with aligned galaxies may not be caused by a chance distribution of the galaxy PAs. Among the less isolated clusters and in the central dense area of clusters with 1 Mpc radius the alignment signal is found respectively in about 37% and 29% of clusters, that is close to the expected number of a chance occurrence of the alignment signal, the ratio Nh/Ns>2N_{h}/N_{s}>2. The separate analysis of clusters of different richnesses and distances showed that the alignment depends on the cluster richness. Alignment is found in about 75% of poor clusters with on average 35 galaxies within 2 Mpc. The probability that this is not due by random distribution of the galaxy PAs is suficiently high. This evidences in favor of the pancake scenario [1,2] of the cluster formation. If so, clusters could preserve the angular momentum of the primordial gas cloud.

According to Miller & Smith [4], Salvador-Sole & Solanes [5] Usami & Fujimoto [6], the galaxies could as well be aligned in the hierarchical scenario due to the tidal field of the cluster. However, the tidal field of the cluster would apparently be more effective in rich clusters with higher mass and the alignment would be observed in rich clusters. Whereas, we found the opposite.

During the cluster evolution the primordial alignment of galaxies could be altered. The alignment rate will decrease in the result of gravitational influence of nearby clusters and mutual interactions between galaxies. Apparently the rate of interactions is higher in rich clusters and especially at the cluster dense central regions. The gravitational influence would apparently have smaller effect on the orientation of massive galaxies. Therefore, the alignment of only very massive BCGs (cDs) has been found with the cluster orientation [7-10, 17-22]. The inclusion to the cluster content of the faint field galaxies by the hierarchical assembly [39 and references therein] with arbitrary orientations will certainly decrease the relative number of aligned galaxies. The poorer is the cluster, i.e. the less massive it is, the smaller amount of field galaxies would be assembled. Thus, the primordial alignment is better preserved in poor clusters, in which both reasons for altering it, interactions between galaxies and assembly of the field galaxies are less effective.

We are grateful to M. Plionis for presentation the list of clusters with their neighbors and to the anonymous referee for careful reading of the manuscript and valuable comments. T-P acknowledges for support through grant DAIP-UGto (0173/19). This research has made use of the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III web site is http://www.sdss3.org/. SDSS is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS- III Collaboration including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/Notre Dame/JINA Participation Group, JohnsHopkins Univirsity, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University.

References

  • (1) 1. Zel’dovich, Ya. B., 1970, A&A, 5, 84 2. Zel’dovich, Ya. B., Einasto, J., & Shandarin, S. F. 1982, Nature, 300, 407 3. Doroshkevich, A.G., Shandarin, S, & Saar, E. 1978, MNRAS, 184, 64 4. Miller, R. H., & Smith, B. H. 1982, ApJ, 253, 58 5. Salvador-Sole, E. & Solanes, J.M., 1993, ApJ, 417, 427 6. Usami, M. & Fujimoto, M., 1997, ApJ, 487, 489 7. Sastry, G. N. 1968, PASP, 80, 252 8. Adams, M.T., Strom, K.M., & Strom, S.E., 1980, ApJ, 238, 445 9. Carter, D., & Metcalfe, J. 1980, MNRAS, 191, 325 10. Binggeli, B. 1982, A&A, 107, 338 11. Rhee, G. F. R. N., & Kartger, P. 1987, A&A, 183, 217 12. Lambas, D. G., Groth, E. J., & Peebles, P. J. E. 1988, AJ, 95, 996 13. Struble, M. F., & Peebles, P. J. E., 1985, AJ, 90, 582 14. Flin, P., & Olowin, R. P., 1991, in Physical Cosmology, edited by A. Blanchard, L. Celniker, M. Lachieze-Roy, and J. Tran Van Lan (Editions Frontieres, Gifsur-Yvette), p. 512 15. Fong, R., Stevenson, P. R. F., & Shanks, T. 1990, MNRAS, 242, 146 16. Struble, M.F., 1990, AJ, 99, 743 17. West, M. J., 1989, ApJ, 347, 610 18. West, M. J., 1994, MNRAS, 268, 79 19. Plionis M., 1994, ApJS., 95, 401 20. Fuller, T.M., West, M.J. & Bridges, T.J., 1999, ApJ, 519, 22 21. Kim, R.S.J., et al. (SDSS collaboration), 2001, BAAS, 33, 1521 22. Chambers, S.W., Melott, A.L., Miller, C.J., 2002, ApJ, 565, 849 23. Plionis M., Benoist C., Maurogordato S., Ferrari C., & Basilakos S. 2003, ApJ, 594, 144. 24. Rong, Y., Zhang, S.-N., & Liao, J.-Y., 2015, arXiv:1507.07418 25. Dekel, A., 1985, ApJ, 298, 461 26. van Kampen, E., Rhee, G.F.R.N., 1990, A&A, 237, 283 27. Trevese, D., Cirimele, G., & Flin, P., 1992, AJ, 104, 935 28. Djorgovski, S.G., 1987, NNGP Proc. 227 29. Cabanela, J. E. & Aldering, G., 1998, AJ, 116, 1094 30. Chen, Y.C., et al. 2019, MNRAS, 485, 2492 31. Abell G. O., Corwin H. G., Jr., & Olowin R. P. 1989, ApJS, 70, 138 32. Abell, G. O., 1958, ApJS, 3, 211 33. Bogart, R. S., & Wagoner, R. V., 1973, Ap. J., 181, 609 34. Hauser, M. G., & Peebles, P. J. E., 1973, Ap. J., 185, 757 35. Andernach, H., Waldhausen, H. & Wielebinski, R.,1980, A&AS, 41, 339 36. Ahn et al. 2012, ApJS, 203, 21 37. Collins, C. A., et al., 1995, MNRAS, 274, 107 38.Coutts, A., 1996, MNRAS, 278, 87 39. Kravtsov, A.V., & Borgani, S., 2012, ARA&A, 50, 353
  • (2)