Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices

Posted by klaurent Stanford

Kavli Affiliate: W. L. Kimmy Wu | Summary:We investigate simulation-based bandpower covariance matrices commonly used in cosmological parameter inferences such as the estimation of the tensor-to-scalar ratio $r$. We find that upper limits on $r$ can be biased low by tens of percent. The underestimation of the upper limit is most severe when the number […]


Continue.. Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices

Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices

Posted by klaurent Stanford

Kavli Affiliate: W. L. Kimmy Wu | First 5 Authors: Dominic Beck, Ari Cukierman, W. L. Kimmy Wu, , | Summary: We investigate simulation-based bandpower covariance matrices commonly used in cosmological parameter inferences such as the estimation of the tensor-to-scalar ratio~$r$. We find that upper limits on $r$ can be biased low. The underestimation of […]


Continue.. Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices