359 citations · 955 across the 29 of their papers we have counts for
5 papers · 1 filter
Machine learning cosmic inflation
Ahana Kamerkar, Savvas Nesseris, Lucas Pinol
We present a machine-learning approach, based on the genetic algorithms (GA), that can be used to reconstruct the inflationary potential directly from cosmological data. We create…
Back to the features: assessing the discriminating power of future CMB missions on inflationary models
Matteo Braglia, Xingang Chen, Dhiraj Kumar Hazra +1
Future Cosmic Microwave Background (CMB) experiments will deliver extremely accurate measurements of the E-modes pattern of the CMB polarization field. Given the sharpness of the E…
No-go Theorem for Scalar-Trispectrum-Induced Gravitational Waves
Sebastian Garcia-Saenz, Lucas Pinol, Sébastien Renaux-Petel +1
We show that the contribution of the primordial trispectrum to the energy density of the scalar-induced stochastic gravitational wave background cannot exceed the one from the scal…
Cosmology with the Laser Interferometer Space Antenna
Pierre Auclair, David Bacon, Tessa Baker +177
The Laser Interferometer Space Antenna (LISA) has two scientific objectives of cosmological focus: to probe the expansion rate of the universe, and to understand stochastic gravita…
Primordial Stochastic Gravitational Wave Background Anisotropies: in-in Formalization and Applications
Ema Dimastrogiovanni, Matteo Fasiello, Lucas Pinol
Primordial non-Gaussianities of the scalar(tensor)-tensor-tensor type supporting a non-trivial squeezed component are known to induce anisotropies in the stochastic gravitational w…