2015
DOI: 10.1016/j.ascom.2014.12.004
|View full text |Cite
|
Sign up to set email alerts
|

Image analysis for cosmology: Shape measurement challenge review & results from the Mapping Dark Matter challenge

Abstract: Publisher's copyright statement: NOTICE: this is the author's version of a work that was accepted for publication in Astronomy and computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reected in this document. Changes may have been made to this work since it was submitted for publication. A denitive version was subsequently published in Astronomy and computing., 10, 2015Astronomy and computin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
12
0

Year Published

2015
2015
2020
2020

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 10 publications
(12 citation statements)
references
References 24 publications
(23 reference statements)
0
12
0
Order By: Relevance
“…The results from this test for the five-common goodness-of-fit measures provided by Mathematica ® are listed in Table 5. We see that, since the p-values tend to easily exceed the 95% confidence rejection level (i.e., p-values are greater than 0.05) we cannot reject our null hypothesis that Equation (6) describes the available data. …”
Section: Dark Matter Galaxy Cluster Datamentioning
confidence: 79%
See 3 more Smart Citations
“…The results from this test for the five-common goodness-of-fit measures provided by Mathematica ® are listed in Table 5. We see that, since the p-values tend to easily exceed the 95% confidence rejection level (i.e., p-values are greater than 0.05) we cannot reject our null hypothesis that Equation (6) describes the available data. …”
Section: Dark Matter Galaxy Cluster Datamentioning
confidence: 79%
“…The data sources, as noted in the table's type column, use different Figure 4 shows the data points from the various utilized mass estimate methods 6 . methods for estimating the mass of the Dark Matter contained in the various clusters.…”
Section: Dark Matter Galaxy Cluster Datamentioning
confidence: 99%
See 2 more Smart Citations
“…At each point of the lens field, an average is taken over a number of nearby sources to smooth out the intrinsic ellipticity of the galaxies from that caused by the lens (see e.g. [364,367,368]). Observationally, the field is directly related to the reduced shear, g, as ←→ g ≡ γ/(1 − κ).…”
Section: Cluster Lensing Basicsmentioning
confidence: 99%