SDSS DR6 Cluster Catalog

Jiangang Hao

9/27/2008

Overview
The new cluster catalogs were created by using GMBCG algorithm based on the SDSS DR6 data. An important technique here is to use a scaled aperture based on an initial fixed aperture richness. The scaling relation is obtained from Eli using his x-ray scatter analysis. Though we cannot go to very low richness using this method, it can give us the "best" restults we can attain at present.

There are altogether 4 versions of the new full catalog: v1.5,v1.6, v1.7 and v1.8
  • v1.5: use scaling relation based on 0.5 Mpc richness and use lh=bcglh * weighted_nfw_lh to rank them.
  • v1.6: obsolete
  • v1.7: obsolete
  • v1.8: obsolete
  • v1.9: using 0.5 Mpc, removed the requirement that color_clr > color_bgd, fixed the bug in ecgmm(10/28/08)
  • v2.0: in addition to v1.9, color_wdh_clr < color_wdh_bgd is removed too because some big clusters(10/29/08)
  • v2.1: using ecgmm (12/1/08), mc test is done

Catalog Locations:        on umdes1

/data/sdss_dr6_gmm_cluster/v1.5/

DR6_GMM_BCG_Scaledr.fit    ----- everthing, without any cut
*Belending.fit              ----- certain belending procedures are applied.
*.kmz                       ----- google earth file for top 5000 clusters.

also available at: /sdss12/data0/sdss_dr6_clusster/v1.5/

Catalog Facts:
z from 0.05 to 0.5; about 30000 clusters with richness greater than 15. The following plots are some statistics for the BCGs.


Comoving Density of Clusters (NOT normalized properly yet, you the true density should be a vertical shift of the following result)






Blending procedures:  Blending procedure is crucial for a clean cluster catalog. The cluster finder picks up all possible clustering peaks and a post blending process is necessary to merge many of the close peaks. In the new version, I adopted a two step blending process. Step 1: for very close clusters (250kpc), merge them; step 2: for clusters within 1 R and redshift difference 0.15, merge the fainter one iff their weighted_nfw_lh smaller too.

Cluster Selection Cuts: cuts on the ridgeline width are applied to select the good clusters. Also, BCGLH > 0.1 is introduced. The ridgeline width cut is from the following width distribution of cluster/background component (red is for the background component). For gmr_wdh, it should be less then 0.15 and for rmi_wdh, it should be less then 0.1. Meanwhile, the width of cluster component should be smaller than the background component.

 


Scaling relations:         R = normalization * richness^(power)

  • For 0.5 Mpc: R = 0.50* richness ^(0.1)
  • For 0.7 Mpc: R = 0.50* richness ^(0.1)

  • The following plots are some summary for scaling relations based on the results from Eli.

          


Ridgeline Tilt Evolution (slope of CMD)

left panel is for g-r slope, right panel is for r-i slope. For the g-r part z: 0.08 to 0.35


Comparing to the following result based on maxbcg clusters using LR200 (top)  and mock catalog (bottom)

Ridgeline color vs z

Using Photozs



Using Spzs:



What are they?

GM_NGals_LR200 vs GM_Scaled_Ngals for those matched clusters in maxBCG catalog(8000+ exact matches)




Photoz, spz and gm_z



Ridgeline and background color distributions



The spec galaxy's U-B vs B (absolute mag)
Top Riches Clusters

in idl, supply a list of ra and decs, you will get a list URLs printed on screen. Then, push down Ctrl key and left click the link, you will be directed to the webpage of that cluster. 
IDL> sdssradec, ra, dec
Top 200 Clusters from v1.5 SDSS DR6 Full Catalog
Number ObjID Stripe GM_Scaled_Ngals RA DEC photoz spz lh nfw_lh weighted_nfw_lh bcglh GM_gmr GM_gmr_wdh GM_gmr_bgd GM_gmr_wdh_bgd GM_mix_gmr_clr GM_mix_gmr_bgd GM_mix_rmi_clr GM_mix_rmi_bgd GM_rmi GM_rmi_wdh GM_rmi_bgd GM_rmi_wdh_bgd SDSS DR6 Image
0 588018252682232137 31 63 234.47593 39.412453 0.404179 NA 589.261 47.8857 330.927 1.78064 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.685427 0.314573 0.664382 0.0881927 0.367102 0.102843 SDSS Image
1 587725552274964671 37 43 132.83495 56.599076 0.397838 0.296516 641.173 29.7149 313.677 2.04406 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.672414 0.327586 0.587188 0.0859310 0.343066 0.187189 SDSS Image
2 587726102031630768 12 50 239.46391 3.4070021 0.435807 0.396216 361.059 28.1285 267.633 1.34908 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.697476 0.302524 0.681417 0.0950760 0.446002 0.163082 SDSS Image
3 587738066727010497 39 33 113.84089 45.314896 0.478757 0.409884 251.970 19.3395 265.862 0.947751 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.781535 0.218465 0.581737 0.104455 0.393241 0.173809 SDSS Image
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5 587732483285123368 30 71 179.81189 49.796701 0.352657 0.349938 623.989 33.6421 249.313 2.50283 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.550871 0.449129 0.611039 0.0555050 0.460765 0.146710 SDSS Image
6 587729385540288634 34 65 175.60324 58.534819 0.291451 NA 645.141 44.0941 244.202 2.64184 1.60815 0.139777 0.891196 0.268575 0.639400 0.360600 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 SDSS Image
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13 587738411404886157 16 73 163.57310 14.651156 0.309067 0.299516 316.001 40.1106 222.023 1.42328 1.55926 0.0881392 1.18146 0.298093 0.551781 0.448219 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 SDSS Image
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195 587729407540461919 36 38 247.06319 43.813445 0.259766 0.274914 470.775 32.8235 155.498 3.02753 1.49153 0.130073 1.19416 0.338295 0.545078 0.454922 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 SDSS Image
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197 587732591178350815 34 31 180.63056 60.187623 0.338534 0.338531 162.800 17.1450 155.116 1.04954 1.61848 0.148928 0.894104 0.241112 0.780202 0.219798 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 SDSS Image
198 587738615948312781 25 26 160.08215 34.088831 0.426472 0.444785 633.365 15.8131 154.983 4.08667 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.288500 0.711501 0.723870 0.0528014 0.434566 0.217006 SDSS Image
199 587728932419076250 34 63 140.50206 51.922430 0.213979 0.203956 358.087 30.1291 154.768 2.31370 1.28768 0.104747 1.05324 0.324477 0.615679 0.384321 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 SDSS Image
last updated: 10/2/08
v1.9
 The profile change for DR6 clusters. rcenter is the distance from member gal to the corresponding BCG.


Similar stuff for Simulations (the latest v1.06 addgal mock)
Rayleigh distribution and NFW profile
v2.1
MC  completeness and purity test