[Proceedings] WESCANEX '91
DOI: 10.1109/wescan.1991.160543
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An automated method for least cost distribution planning

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Cited by 2 publications
(7 citation statements)
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“…After subtracting the maximum likelihood signal of surrounding structures fitted simultaneously, the resulting mass estimate for the central halo is slightly lower at M200m = (6.6 +3.1 −2.6 ) × h −1 70 10 14 M ⊙ (M500c = (3.8 +1.7 −1.5 ) × h −1 70 10 14 M ⊙ ). Both our mass estimates are in agreement with the SZ masses of Vanderlinde et al (2010) and Hasselfield et al (2013), the X-ray masses of Andersson et al (2011), the combined SZ+X-ray mass of Reichardt et al (2013) and the dynamical mass of Andersson et al (2011).…”
Section: Weak Lensing Analysissupporting
confidence: 87%
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“…After subtracting the maximum likelihood signal of surrounding structures fitted simultaneously, the resulting mass estimate for the central halo is slightly lower at M200m = (6.6 +3.1 −2.6 ) × h −1 70 10 14 M ⊙ (M500c = (3.8 +1.7 −1.5 ) × h −1 70 10 14 M ⊙ ). Both our mass estimates are in agreement with the SZ masses of Vanderlinde et al (2010) and Hasselfield et al (2013), the X-ray masses of Andersson et al (2011), the combined SZ+X-ray mass of Reichardt et al (2013) and the dynamical mass of Andersson et al (2011).…”
Section: Weak Lensing Analysissupporting
confidence: 87%
“…A problem with signal extraction or calibration of the Planck SZ would likely lead to differences with other SZ observa-tions of the same clusters, and if the hypothesis of a redshift dependence should hold these differences should in turn be a function of redshift. Hasselfield et al (2013) compare SZ mass estimates of 11 clusters detected and published by both ACT and SPT with good agreement (cf. their fig.…”
Section: Comparison With Other Sz Surveysmentioning
confidence: 55%
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