期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 487, 期 2, 页码 2701-2717出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stz1359
关键词
methods: statistical; large-scale structure of Universe
资金
- U.S. Department of Energy [DE-SC0013718]
- U.S. Department of Energy (DOE) [DE-SC0013718] Funding Source: U.S. Department of Energy (DOE)
Covariance matrix estimation is a persistent challenge for cosmology. We focus on a class of model covariance matrices that can be generated with high accuracy and precision, using a tiny fraction of the computational resources that would be required to achieve comparably precise covariance matrices using mock catalogues. In previous work, the free parameters in these models were determined using sample covariance matrices computed using a large number of mocks, but we demonstrate that those parameters can be estimated consistently and with good precision by applying jackknife methods to a single survey volume. This enables model covariance matrices that are calibrated from data alone, with no reference to mocks.
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