|Tuesday 14 July 2020|
|Events for day: Thursday 05 December 2019|
| 10:00 - 11:00 Weekly Seminar|
Bayesian inference of biological networks
Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell. Causal network structure inference has been approached using different methods in the past. Most causal network inference techniques, such as Dynamic Bayesian Networks and ordinary differential equations, are limited by their computational complexity and thus make large scale inference infeasible. This is specifically true if a Bayesian framework is applied in order to deal with the unavoidable uncertainty about the correct model. In this talk, after giving an introduc ...
11:00 - 12:00 Theory Weekly Seminar(TWS)
Second-order vector and tensor contributions to the local lightcone projection effects on the galaxy bispectrum
PARTICLES AND ACCELERATORS
Abstract: The galaxy bispectrum on scales around and above the equality scale receives contributions from relativistic effects. Some of these arise from lightcone deformation effects, which come from local and line-of-sight integrated contributions. Here we calculate the local contributions from the generated vector and tensor background which is formed as scalar modes couple and enter the horizon. We show that these modes are sub-dominant when compared with other relativistic contributions.
Larak Seminar Room