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Astronomy Tea Talk

Monday, December 19, 2022
4:00pm to 5:00pm
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Characteristic Functions for Cosmological Cross-Correlations
Patrick Breysse, NYU Center for Cosmology and Particle Physics,

I will discuss a new unbiased, cross-correlation estimator for the one-point statistics of cosmological random fields. One-point statistics are a useful tool for analysis of highly non-Gaussian density fields, while cross-correlations provide a powerful method for combining information from pairs of fields and separating them from noise and systematics. I derive a new Deconvolved Distribution Estimator that combines the useful properties of these two methods into one statistic. Using examples motivated by upcoming line intensity mapping experiments, I will demonstrate these properties and show that the DDE can be used for inference. This new estimator can be applied to any pair of overlapping, non-Gaussian cosmological observations, including large-scale structure, the Sunyaev-Zeldovich effect, weak lensing, and many others.

For more information, please contact Junhan Kim by email at [email protected] or visit