Cross-correlation function of distribution for SDSS DR7 I-type AGNS and WiggleZ Galaxies
Heading:
| 1Ivashchenko, G, 2Vasylenko, OV 1Taras Shevchenko National University of Kyiv, Kyiv, Ukraine 2Main Astronomical Observatory of the National Academy of Sciences of Ukraine, Kyiv, Ukraine |
| Kinemat. fiz. nebesnyh tel (Online) 2015, 31(1):3-21 |
| Start Page: Extragalactic Astronomy |
| Language: Ukrainian |
Abstract: Using our samples of I-type Active Galactic Nuclei (AGN) and blue galaxies from SDSS DR7 and WiggleZ DR1 surveys we obtained parameters of their cross- and autocorrelation functions (ACF). Our analysis of the real-space ACF shows the presence of more steep break for AGNs than for blue galaxies, that is in agreement with their evolution paradigm, according to which in the late epoch filaments are mainly populated by galaxies with star formation while I-type AGSs are mainly formed in clusters. From the redshift-space distortion of the ACF we obtained the value of β = 0.58 &plusm; 0.08 which characterises infall of objects onto matter overdensities and the bias parameter for I-type bAGN = = 1.38 &plusm; 0.19 for z- = 0.65, that agrees well with results of other authors for one of I-type AGN subclasses, quasars, and also with results for X-ray selected samples of different-type AGN. |
| Keywords: blue galaxies, cross-correlation function, WiggleZ |
References:
1.K. N. Abazajian, J. K. Adelman-McCarthy, M. A. Agüeros, et al., “The seventh data release of the Sloan Digital Sky Survey,” Astrophys. J., Suppl. Ser. 182, 543–558 (2009).
https://doi.org/10.1088/0067-0049/182/2/543
2.K. L. Adelberger and C. C. Steidel, “Constraints from Galaxy-AGN clustering on the correlation between galaxy and black hole mass at redshift 2 < z < 3,” Astrophys. J. Lett. 627, L1–L4 (2005).
https://doi.org/10.1086/432159
3.V. Allevato, A. Finoguenov, N. Cappelluti, et al., “The XMM-Newton Wide Field Survey in the COSMOS field: redshift evolution of AGN bias and subdominant role of mergers in triggering moderate-luminosity AGNs at redshifts up to 2.2,” Astrophys. J. 736, 99 (2011).
https://doi.org/10.1088/0004-637X/736/2/99
4.C. Blake, A. Pope, D. Scott, and B. Mobasher, “On the cross-correlation of sub-mm sources and optically selected galaxies,” Mon. Not. R. Astron. Soc. 368, 732–740 (2006).
https://doi.org/10.1111/j.1365-2966.2006.10158.x
5.N. Cappelluti, M. Ajello, D. Burlon, et al., “Active Galactic Nuclei clustering in the local Universe: an unbiased picture from Swift-BAT,” Astrophys. J. Lett. 716, L209–L213 (2010).
https://doi.org/10.1088/2041-8205/716/2/L209
6.N. Cappelluti, H. Böhringer, P. Schuecker, et al., “The soft X-ray cluster-AGN spatial cross-correlation function in the ROSAT-NEP survey,” Astron. Astrophys. 465, 35–40 (2007).
https://doi.org/10.1051/0004-6361:20065920
7.S. M. Carroll, W. H. Press, and E. L. Turner, “The cosmological constant,” Annu. Rev. Astron. Astrophys. 30, 499–542 (1992).
https://doi.org/10.1146/annurev.aa.30.090192.002435
8.J. Chen, “The galaxy cross-correlation function as a probe of the spatial distribution of galactic satellites,” Astron. Astrophys. 494, 867–877 (2009).
https://doi.org/10.1051/0004-6361:20079184
9.A. L. Coil, A. Georgakakis, J. A. Newman, et al., “A EGIS: the clustering of X-Ray Active Galactic nucleus relative to galaxies at z ∼ 1,” Astrophys. J. 701, 1484–1499 (2009).
https://doi.org/10.1088/0004-637X/701/2/1484
10.A. L. Coil, B. F. Gerke, J. A. Newman, et al., “The DEEP2 Galaxy Redshift Survey: clusteing of groups and group galaxies at z ∼ 1,” Astrophys. J. 638, 668–685 (2006).
https://doi.org/10.1086/498885
11.A. L. Coil, J. F. Hennawi, J. A. Newman, M. C. Cooper, and M. Davis, “The DEEP2 Galaxy Redshift Survey: clustering of quasars and galaxies at z = 1,” Astrophys. J. 654, 115–124 (2007).
https://doi.org/10.1086/509099
12.A. L. Coil, J. A. Newman, D. Croton, et al., “The DEEP2 Galaxy Redshift Survey: color and luminosity dependence of galaxy clustering at z ∼ 1,” Astrophys. J. 672, 153–176 (2008).
https://doi.org/10.1086/523639
13.S. M. Croom, B. J. Boyle, T. Shanks, et al., “The 2dF QSO Redshift Survey — XIV. Structure and evolution from the two-point correlation function,” Mon. Not. R. Astron. Soc. 356, 415–438 (2005).
https://doi.org/10.1111/j.1365-2966.2004.08379.x
14.S. M. Croom and T. Shanks, “QSO clustering — III. Clustering in the Large Bright Quasar Survey and evolution of the QSO correlation function,” Mon. Not. R. Astron. Soc. 281, 893–906 (1996).
https://doi.org/10.1093/mnras/281.3.893
15.J. da ángela, P. J. Outram, T. Shanks, et al., “The 2dF QSO Redshift Survey — XV. Correlation analysis of redshift-space distortios,” Mon. Not. R. Astron. Soc. 360, 1040–1054 (2005).
https://doi.org/10.1111/j.1365-2966.2005.09094.x
16.M. Davis and P. J. E. Peebles, “A survey of galaxy redshifts. V — The two-point position and velocity correlations,” Astrophys. J. 267, 465–482 (1983).
https://doi.org/10.1086/160884
17.M. J. Drinkwater, R. J. Jurek, C. Blake, et al., “The WiggleZ Dark Energy Survey: survey design and first data release,” Mon. Not. R. Astron. Soc. 401, 1429–1452 (2010).
https://doi.org/10.1111/j.1365-2966.2009.15754.x
18.J. Ebrero, S. Mateos, G. C. Stewart, F. J. Carrera, and M. G. Watson, “High-precision multi-band measurements of the angular clustering of X-ray sources,” Astron. Astrophys. 500, 749–762 (2009).
https://doi.org/10.1051/0004-6361/200911670
19.A. Elyiv, N. Clerc, M. Plionis, et al., “Angular correlation functions of X-ray point-like sources in the full exposure XMM-LSS field,” Astron. Astrophys. 537, A131 (2012).
https://doi.org/10.1051/0004-6361/201117983
20.N. Gehrels, “Confidence limits for small numbers of events in astrophysical data,” Astrophys. J. 303, 336–346 (1986).
https://doi.org/10.1086/164079
21.R. Gilli, G. Zamorani, T. Miyaji, et al., “The spatial clustering of X-ray selected AGN in the XMM-COSMOS fiels,” Astron. Astrophys. 494, 33–48 (2009).
https://doi.org/10.1051/0004-6361:200810821
22.A. J. S. Hamilton, “Toward better ways to measure the galaxy correlation function,” Astrophys. J. 417, 19 (1993).
https://doi.org/10.1086/173288
23.P. C. Hewett and V. Wild, “Improved redshifts for SDSS quasar spectra,” Mon. Not. R. Astron. Soc. 405, 2302–2316 (2010).
24.R. C. Hickox, C. Jones, W. R. Forman, et al., “Host galaxies, clustering, Eddington ratios, and evolution of radio, X-Ray, and infrared-selected AGNs,” Astrophys. J. 696, 891–919 (2009).
https://doi.org/10.1088/0004-637X/696/1/891
25.F. Hoyle, P. J. Outram, T. Shanks, et al., “The 2dF QSO Redshift Survey — VII. Constraining cosmology from redshift-space distortions via ξ (σ, π),” Mon. Not. R. Astron. Soc. 332, 311–324 (2002).
https://doi.org/10.1046/j.1365-8711.2002.05300.x
26.G. Ivashchenko, “Two-point angular correlation function of quasar distribution for SDSS DR3 and 2QZ catalogues,” J. Phys. Stud. 11, 350–352 (2007).
27.G. Ivashchenko, V. I. Zhdanov, and A. V. Tugay, “Correlation function of quasars in real and redshift space from the Sloan Digital Sky Survey Data Release 7,” Mon. Not. R. Astron. Soc. 409, 1691–1704 (2010).
https://doi.org/10.1111/j.1365-2966.2010.17411.x
28.N. Kaiser, “Clustering in real space in redshift space,” Mon. Not. R. Astron. Soc. 227, 1–21 (1987).
https://doi.org/10.1093/mnras/227.1.1
29.C. Knobel, S. J. Lilly, C. M. Carollo, et al., “A group-galaxy cross-correlation function analysis in zCOSMOS,” Astrophys. J. 755, 48 (2012).
https://doi.org/10.1088/0004-637X/755/1/48
30.M. Krumpe, T. Miyaji, and A. L. Coil, “The spatial clustering of ROSAT All-Sky Survey AGNs. I. The cross-correlation function with SDSS Luminous Red Galaxies,” Astrophys. J. 713, 558–572 (2010).
https://doi.org/10.1088/0004-637X/713/1/558
31.S. D. Landy and A. S. Szalay, “Bias and variance of angular correlation functions,” Astrophys. J. 412, 64–71 (1993).
https://doi.org/10.1086/172900
32.D. C. Martin, J. Fanson, D. Schiminovich, et al., “The Galaxy Evolution Explorer: a space ultraviolet survey mission,” Astrophys. J. 619 (2005).
33.T. Miyaji, M. Krumpe, A. L. Coil, and H. Aceves, “The spatial clustering of ROSAT All-sky Survey AGNs. II. Halo occupation distribution modeling of the cross-correlation function,” Astrophys. J. 726, 83 (2011).
https://doi.org/10.1088/0004-637X/726/2/83
34.T. Miyaji, G. Zamorani, N. Cappelluti, et al., “The XMM-Newton Wide-Field Survey in the COSMOS field. V. Angular clustering of the X-Ray point sources,” Astrophys. J., Suppl. Ser. 172, 396–405 (2007).
https://doi.org/10.1086/516579
35.H. J. Mo, J. A. Peacock, and X. Y. Xia, “The cross-correlation of IRAS galaxies with Abell clusters and radio galaxies,” Mon. Not. R. Astron. Soc. 260, 121–131 (1993).
36.G. Mountrichas, U. Sawangwit, T. Shanks, et al., “QSO-LRG two-point cross-correlation function and redshift-space distortions,” Mon. Not. R. Astron. Soc. 394, 2050–2064 (2009).
https://doi.org/10.1111/j.1365-2966.2009.14456.x
37.A. D. Myers, R. J. Brunner, R. C. Nichol, et al., “Clustering analyses of 300,000 photometrically classified quasars. I. Luminosity and redshift evolution in quasar bias,” Astrophys. J. 658, 85–98 (2007).
https://doi.org/10.1086/511519
38.A. D. Myers, R. J. Brunner, G. T. Richards, et al., “First measurement of the clustering evolution of photometrically classified quasars,” Astrophys. J. 638, 622–634 (2006).
https://doi.org/10.1086/499093
39.N. Padmanabhan, M. White, P. Norberg, and C. Porciani, “The real-space clustering of luminous red galaxies around z < 0.6 quasars in the Sloan Digital Sky Survey,” Mon. Not. R. Astron. Soc. 397, 1862–1875 (2009).
https://doi.org/10.1111/j.1365-2966.2008.14071.x
40.P. J. E. Peebles, The Large-Scale Structure of the Universe@ (Princeton Univ. Press, Princeton, 1980).
41.P. J. E. Peebles and M. G. Hauser, “Statistical analysis of catalogs of extragalactic objects. III. The Shane-Wirtanen and Zwicky catalogs,” Astrophys. J., Suppl. Ser. 28, 19 (1974).
https://doi.org/10.1086/190308
42.C. Porciani, M. Magliocchetti, and P. Norberg, “Cosmic evolution of quasar clustering: implications for the host haloes,” Mon. Not. R. Astron. Soc. 355, 1010–1030 (2004).
https://doi.org/10.1111/j.1365-2966.2004.08408.x
43.C. Porciani and P. Norberg, “Luminosity- and redshift-dependent quasar clustering,” Mon. Not. R. Astron. Soc. 371, 1824–1834 (2006).
https://doi.org/10.1111/j.1365-2966.2006.10813.x
44.N. P. Ross, J. Angela, T. Shanks, et al., “The 2dF-SDSS LRG and QSO Survey: the LRG 2-poing correlation function and redshift-space distortions,” Mon. Not. R. Astron. Soc. 381, 573–588 (2007).
https://doi.org/10.1111/j.1365-2966.2007.12289.x
45.N. P. Ross, Y. Shen, M. A. Strauss, et al., “Clustering of low-redshift (z ≤ 2.2) quasars from the Sloan Digital Sky Survey,” Astrophys. J. 697, 1634–1655 (2009).
https://doi.org/10.1088/0004-637X/697/2/1634
46.D. P. Schneider, G. T. Richards, P. B. Hall, et al., “The Sloan Digital Sky Survey Quasar Catalog. V. Seventh Data Release,” Astron. J. 139, 2360 (2010).
https://doi.org/10.1088/0004-6256/139/6/2360
47.T. Shanks and B. J. Boyle, “QSO clustering — part one — optical surveys in the redshift range 0.3 < z < 2.2,” Mon. Not. R. Astron. Soc. 271, 753 (1994).
https://doi.org/10.1093/mnras/271.4.753
48.Y. Shen, M. A. Strauss, N. P. Ross, et al., “Quasar clustering from SDSS DR5: dependences on physical properties,” Astrophys. J. 697, 1656–1673 (2009).
https://doi.org/10.1088/0004-637X/697/2/1656
49.Y. Wang, X. Yang, H. J. Mo, and F. C. Bosch, “The cross-correlation between galaxies of different lunimosities and colors,” Astrophys. J. 664, 608–632 (2007).
https://doi.org/10.1086/519245
50.X. Yang, H. J. Mo, F. C. Bosch, et al., “The cross-correlation between galaxies and groups: probing the galaxy distribution in and around dark matter haloes,” Mon. Not. R. Astron. Soc. 362, 711–726 (2005).
https://doi.org/10.1111/j.1365-2966.2005.09351.x
51.Y. Yang, R. F. Mushotzky, A. J. Barger, and L. L. Cowie, “Spatial correlation function of the Chandra-selected Active Galactic Nuclei,” Astrophys. J. 645, 68–82 (2006).
https://doi.org/10.1086/502706
52.I. Zehavi, Z. Zheng, D. H. Weinberg, et al., “The luminosity and color dependence of the galaxy correlation function,” Astrophys. J. 630, 1–27 (2005).
https://doi.org/10.1086/431891
53.Y. Zu and D. H. Weinberg, “The redshift-space cluster-galaxy cross-correlation function. I. Modelling galaxy infall on to Millennium simulation clusters and SDSS groups,” Mon. Not. R. Astron. Soc. 431, 3319–3337 (2013).
https://doi.org/10.1093/mnras/stt411