Speaker
Noah Sailer
(Stanford University)
Description
Large-scale galaxy clustering provides a powerful probe of local primordial non-Gaussianity (PNG) through the scale-dependent bias it induces. On ultra-large scales the plane-parallel approximation is no longer valid, complicating both the interpretation of power spectrum measurements and the structure of the optimal estimator. I will present an optimal estimator that exactly accounts for these effects, together with an efficient FFT-based implementation of the corresponding window function. I will then discuss how this formalism connects to current analyses of ultra-large-scale power spectra, and advertise the soon-to-appear DESI DR2 local PNG analysis.
Author
Noah Sailer
(Stanford University)