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Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey
DES Collaboration
Astrophysical Sciences
Center for Statistics & Machine Learning
Princeton Language and Intelligence (PLI)
Research output
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Contribution to journal
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Article
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peer-review
12
Scopus citations
Overview
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Dive into the research topics of 'Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey'. Together they form a unique fingerprint.
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Keyphrases
Approximate Likelihood
25%
Bayesian Evidence
25%
Clustering Analysis
100%
Combined Measurement
25%
Consistent Estimation
25%
Cosmological Analysis
25%
Credible Interval
25%
Dark Energy Survey
100%
Galaxy Clusters
25%
Metropolis-Hastings Algorithm
25%
Nested Sampling
50%
Parameter Inference
25%
Posterior Distribution
25%
Sampling Algorithm
25%
Survey Analysis
25%
Weak Lensing
100%
Weak-galaxies
25%
Mathematics
Approximates
100%
Bayesian
100%
Clustering
100%
Credible Interval
100%
Good Agreement
100%
Posterior Distribution
100%
Earth and Planetary Sciences
Clustering
25%
Dark Energy
100%
Physics
Galaxy Clusters
100%
Psychology
Clustering
100%