University of Cambridge > > DAMTP Friday GR Seminar > Extracting non-Gaussian information from the Large-Scale Structure

Extracting non-Gaussian information from the Large-Scale Structure

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Nathan Johnson-McDaniel.

One of the main of challenges in modern cosmology is to fully exploit datasets by extracting non-Gaussian (small scale) information. In this talk, I will present results following two different approaches. I will first present a full forward model for the neutral hydrogen counts-in-cell statistic obtained from the known matter counts-in-cell statistic together with a new non-linear bias function relating neutral hydrogen and matter. Secondly, I will show preliminary forecasts for a projected galaxy bispectrum analysis that allows to control systematics arising from non-linear redshift-space distortions.

This talk is part of the DAMTP Friday GR Seminar series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity