We study the information content of summary statistics built from the multi-scale topology of large-scale structures on primordial …

We measure the halo bispectrum covariance in a large set of N-body simulations and compare it with theoretical expectations. We find a …

We calculate the formation probability of primordial black holes generated during the collapse at horizon re-entry of large …

Upcoming galaxy redshift surveys promise to significantly improve current limits on primordial non-Gaussianity (PNG) through …

We develop an analysis pipeline for characterizing the topology of large scale structure and extracting cosmological constraints based …

Galaxy shapes have been observed to align with external tidal fields generated by the large-scale structures of the Universe. While the …

The understanding of the primordial mechanism that seeded the cosmic structures we observe today in the sky is one of the major goals …

Sharp features in the primordial power spectrum are a powerful window into the inflationary epoch. To date, the cosmic microwave …

Strong cosmological constraints from galaxy surveys rely more and more on including higher-order correlation functions beyond the galaxy power spectrum. In this talk, we take important steps forward for a reliable power spectrum-bispectrum theoretical covariance to be employed in data analyses. We find a large correlation among (even mildly) squeezed halo bispectra. There is also a large correlation between these bispectra and the long-wavelength halo power spectrum. Thus, the commonly used diagonal Gaussian approximation fails to describe the covariance even approximately. These correlations have a large impact on parameter constraints from the bispectrum. We show this by measuring the covariance in a large set of N-body simulations, and comparing with a model that accounts for these correlations, keeping the leading non-Gaussian terms. The model is given in terms of the measured power spectrum and bispectrum, and therefore does not rely on perturbation theory. As an example, we study the Fisher information on the power spectrum and bispectrum of halos for primordial non-Gaussianity, which is particularly sensitive to squeezed bispectra. Using a simple Fisher matrix setting, constraints are degraded by a factor of ~2 using our realistic model with respect to the commonly used diagonal matrix.

We develop an analysis pipeline for characterizing the topology of large scale structure and extracting cosmological constraints based on persistent homology.

One of the greatest challenges of modern cosmology is to provide a consistent history of the Universe, from its origins until today. As in all fields of physics, a crucial step to make progress is to gather more observational evidence to confirm or disprove proposed theoretical models. I will discuss about how how the observation of large scale structures at late times provides an increasingly promising probe of the physics of the early universe, with a focus on inflationary predictions, such as primordial non-Gaussianity, primordial features and primordial gravitational waves.

Constraints on primordial features using BOSS data and forecasts for future surveys.

Modelling the amplitude of the scale dependent bias from local primordial non-Gaussianity.