Résumé / Abstract Seminaire_GReCO

"The Likelihood for Large-Scale Structure"

Giovanni Cabass
Max-Planck-Institut für Astrophysik (Garching, Allemagne)

I derive, using the effective field theory of biased tracers,
the conditional likelihood for observing a specific tracer field
given an underlying matter field. This likelihood is necessary for
Bayesian-inference methods. I start from the assumption of Gaussian
noise for the tracer field, and then discuss the impact of non-Gaussian
noise (which includes the stochastic corrections to the tracer
bispectrum) and of higher-derivative terms. I comment on how
these corrections can affect the results of current applications
of Bayesian inference. I also comment on possible extensions, with a
particular eye towards the inclusion of primordial non-Gaussianity.

lundi 28 octobre 2019 - 11:00
Salle des séminaires Évry Schatzman,
Institut d'Astrophysique de Paris

Page web du séminaire / Seminar's webpage