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Mass variance from archival X-ray properties of Dark Energy Survey Year-1 galaxy clusters
DES Collaboration
Gies College of Business
Accountancy
National Center for Supercomputing Applications (NCSA)
Astronomy
Research output
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peer-review
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Dive into the research topics of 'Mass variance from archival X-ray properties of Dark Energy Survey Year-1 galaxy clusters'. Together they form a unique fingerprint.
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Keyphrases
Cluster Sampling
50%
Combined Constraints
50%
Confidence Region
50%
Covariance
50%
Covariance Estimation
50%
Dark Energy Survey
100%
External Parameters
50%
Galaxy Clusters
100%
Halo
100%
Lognormal
50%
Mass Relations
50%
One Data
50%
Population Model
50%
Regression Analysis
50%
Sample Analysis
50%
Scale Parameter
50%
Scaling Behavior
50%
Systematic Error
50%
Two-sample
50%
X-ray
100%
X-ray Observations
50%
Mathematics
Confidence Region
33%
Covariance
66%
Dominates
33%
External Parameter
33%
Residuals
33%
Scaling Behavior
33%
Systematic Error
33%
Variance
100%
Physics
Covariance
66%
Galaxy Clusters
100%
X Ray
100%