A robust analysis of the covariance of the galaxy power spectrum is crucial for cosmological parameter estimation. The traditional process of obtaining the covariance involves simulating thousands of mocks. I will present an analytic approach for the full covariance matrix which is more than four orders of magnitude faster than mocks. Our analytic approach includes shot noise, redshift-space distortions, higher-order galaxy bias and non-linear structure formation. The dominance of shot noise at quasi-linear scales greatly simplifies the analytic approach and makes it useful for future surveys like DESI and Euclid. I will also show that the effect of super-survey modes for a redshift survey is stronger than previously considered in the literature.
Speaker: Digvijay Wadekar, NYU
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