Cosmological inference from galaxy-clustering power spectrum: Gaussianization and covariance decomposition

INIS

• applications 33%
• constraints 33%
• data 33%
• data analysis 33%
• decomposition 66%
• distribution 66%
• galaxies 100%
• matrices 66%
• monopoles 33%
• multivariate analysis 33%
• noise 33%
• pipelines 33%
• power 100%
• spectra 66%
• statistics 33%
• stochastic processes 33%
• surveys 66%
• transformations 33%

Mathematics

• Central Limit Theorem 33%
• Constraints 33%
• Covariance 33%
• Covariance Matrix 66%
• Data Transformation 33%
• Euclid 33%
• Gaussian 33%
• Inference 33%
• Largest Number 33%
• Multivariate Normal Distribution 33%
• Normality Assumption 33%
• Number 33%
• Points 33%
• Power Spectrum 66%
• Shot Noise 33%
• Statistics 33%

Physics

• Covariance 33%
• Decomposition 66%
• Galaxy Clusters 33%
• Model 33%
• Non-Gaussianity 33%
• Parameter 33%
• Power Spectra 66%
• Redshift Surveys 66%
• Utilization 33%