4 papers
Equilateral non-Gaussian Bias at the Field Level
Divij Sharma, James M. Sullivan, Kazuyuki Akitsu +1
Primordial non-Gaussianity (PNG) is a common prediction of a wide class of inflationary models. Equilateral-type PNG, generically predicted by single-field inflationary models with…
Local Primordial non-Gaussian Bias from Time Evolution
James M. Sullivan, Uros Seljak
Primordial non-Gaussianity (PNG) is a signature of fundamental physics in the early universe that is probed by cosmological observations. It is well known that the local type of PN…
Local Primordial Non-Gaussian Bias at the Field Level
James M. Sullivan, Shi-Fan Chen
Local primordial non-Gaussianity (LPNG) couples long-wavelength cosmological fluctuations to the short-wavelength behavior of galaxies. This coupling is encoded in bias parameters…
Deterministic Langevin Unconstrained Optimization with Normalizing Flows
James M. Sullivan, Uros Seljak
We introduce a global, gradient-free surrogate optimization strategy for expensive black-box functions inspired by the Fokker-Planck and Langevin equations. These can be written as…