COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Cosmology Lunch > Probing the cosmic large-scale structure beyond the average
Probing the cosmic large-scale structure beyond the averageAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Fiona McCarthy. Nonlinear gravitational collapse shaped the cosmic web of galaxies and created a plethora of different density environments – from empty regions to regions crowded with galaxies. To realise the full potential of upcoming galaxy surveys like Euclid and Rubin LSST , we need to dissect different density environments that are lumped together in traditional two-point statistics. This is particularly important for detecting extensions of LCDM including massive neutrinos, dynamical dark energy and modified gravity. I will show that one-point statistics not only provide information complementary to common two-point statistics, but also allow for accurate theoretical predictions of the late-time non-Gaussianity. I will explain how the cosmology dependence of one-point statistics of dark matter can be predicted from first principles and translated to weak lensing and galaxy clustering observables. This talk is part of the Cosmology Lunch series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsChasing childrens’ fortunes. Cases of parents strategies in Sweden, the UK and Korea. Ecology Lunchtime Series Education, Globalisation, and International DevelopmentOther talksSerum symmetric dimethylarginine (SDMA) concentrations are not influenced by systemic inflammation in cats Mapping stromal heterogeneity and immunosuppression in breast cancer A machine-learning based model of non-Newtonian hydrodynamics with molecular fidelity Separate treatment of aleatory and epistemic uncertainty in structural dynamics Grand Rounds - Oncology Child Development Forum Lent I |