Publications (6)
Cosmology with Persistent Homology: Parameter Inference via Machine Learning
Juan Calles, Jacky H. T. Yip, Gabriella Contardo +3
Building upon [2308.02636], we investigate the constraining power of persistent homology on cosmological parameters and primordial non-Gaussianity in a likelihood-free inference pi…
Primordial non-Gaussianity -- Fast simulations and persistent summary statistics
Juan Calles, Gabriella Contardo, Jorge Noreña +2
We investigate the sensitivity of topological and traditional summary statistics to primordial non-Gaussianity (PNG) using two suites of simulations. First, we introduce a new simu…
A Model for the Squeezed Bispectrum in the Non-Linear Regime
Matteo Biagetti, Juan Calles, Lina Castiblanco +2
We present a model for the squeezed dark matter bispectrum, where the short modes are deep in the non-linear regime. We exploit the consistency relations for large-scale structures…
From matter to galaxies: General relativistic bias for the one-loop bispectrum
Juan Calles, Lina Castiblanco, Jorge Noreña +1
We write down the Lagrangian bias expansion in general relativity up to 4th order in terms of operators describing the curvature of an early-time hypersurface for comoving observer…
Conformal Isometries and Curvature Collineations of an Impulsive Plane Wave: a distributional approach
Juan Calles, Nelson Pantoja
By extending the notion of Lie derivative to distribution-valued tensor fields of order , Lie derivatives with respect to vector fields, , can be shown to…
Fisher Forecasts for Primordial non-Gaussianity from Persistent Homology
Matteo Biagetti, Juan Calles, Lina Castiblanco +2
We study the information content of summary statistics built from the multi-scale topology of large-scale structures on primordial non-Gaussianity of the local and equilateral type…