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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

A. M. Dizgah

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2 papers indexed here

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Review Oct 2026

Extracting non-Gaussian information of line-intensity maps with weighted skew spectra

The bispectrum of line-intensity maps carries cosmological and astrophysical information beyond the power spectrum, but its large data vector hampers the analysis of survey data. Skew spectra address this by compressing the bispectrum into a handful of power-spectrum-like observables, cross-spectra of the observed fiel...

E. Vanzan, A. M. Dizgah, E. Kovetz · 0 citations
Review Sep 2026

The Super-Sample Covariance of Line-Intensity Mapping Power Spectrum

In this work, we provide the first derivation of the line-intensity mapping (LIM) power spectrum super-sample covariance (SSC) from first principles, and also derive as a by-product the non-Gaussian in-box contributions to the covariance for the first time. Previous studies have typically modelled the LIM power spectru...

S. Pamuk, J. L. Bernal, A. M. Dizgah · 0 citations

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