P
Paolo Pani
Researcher at Sapienza University of Rome
Publications - 337
Citations - 19007
Paolo Pani is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Black hole & General relativity. The author has an hindex of 66, co-authored 302 publications receiving 14022 citations. Previous affiliations of Paolo Pani include Harvard University & Federal University of Pará.
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Phase transitions between Reissner-Nordstrom and dilatonic black holes in 4D AdS spacetime
TL;DR: In this article, the authors studied the phase transition in the dual field theory both for non-vanishing temperatures and in the extremal limit and showed that the new phase is a charged dilatonic black hole.
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Advanced methods in black-hole perturbation theory
TL;DR: In this article, the authors present an overview of these applications and introduce extensions of the standard semianalytical methods to construct and solve the linearized field equations in curved space-time.
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Constraining the mass of dark photons and axion-like particles through black-hole superradiance
Vitor Cardoso,Vitor Cardoso,Óscar J. C. Dias,Gavin S. Hartnett,Matthew J. Middleton,Paolo Pani,Jorge E. Santos +6 more
TL;DR: In this article, the spectrum of the most unstable modes of a massive vector (Proca) field for generic black-hole spin and Proca mass was derived for both axion-like particles and dark photons.
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Gravitational wave searches for ultralight bosons with LIGO and LISA
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Constraining the primordial black hole scenario with Bayesian inference and machine learning: The GWTC-2 gravitational wave catalog
Kaze W. K. Wong,Gabriele Franciolini,Valerio De Luca,Vishal Baibhav,Emanuele Berti,Paolo Pani,Antonio Riotto +6 more
TL;DR: The authors constrain primordial black hole formation models within a hierarchical Bayesian inference framework based on deep learning techniques, finding best-fit values for distinctive features of these models, including the PBH initial mass function, the fraction of PBHs in dark matter, and the accretion efficiency.