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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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Magnetic tidal Love numbers clarified

TL;DR: In this article, Damour and Nagar showed that the zero-frequency limit of the Regge-Wheeler equation forces the fluid to be irrotational, which is the same as the result of Binnington and Poisson.
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Aging is associated with increased clonogenic potential in rat liver in vivo

TL;DR: The results indicate that the microenvironment of the aged liver supports the clonal expansion of transplanted normal hepatocytes, indicating that clonogenic environments can foster the selective growth of pre‐existing altered cells, thereby increasing the overall risk for cancer development associated with aging.
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Failure of mitogen-induced cell proliferation to achieve initiation of rat liver carcinogenesis

TL;DR: Results indicate that unlike compensatory cell proliferation such as that induced by PH or CCl4, mitogen-induced cell proliferation did not result in any initiated hepatocytes despite the fact that in both types of models the extent of liver cell proliferation at the time of the administration of the carcinogen is similar.
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The Evolution of Primordial Black Holes and their Final Observable Spins

TL;DR: In this paper, the authors show that the mass and spin of primordial black holes are correlated in a redshift-dependent fashion, in particular black holes with masses below O(30)M_\odot$ are likely non-spinning at any redshift, whereas heavier black holes can be nearly extremal up to redshift $z\sim10$.
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Constraining High-redshift Stellar-mass Primordial Black Holes with Next-generation Ground-based Gravitational-wave Detectors

TL;DR: In this article , the authors simulate four months' worth of data observed by a CE-ET detector network and perform hierarchical Bayesian analysis to recover the merger rate densities of primordial black holes.