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Giovanni Bonanno

Researcher at INAF

Publications -  177
Citations -  5468

Giovanni Bonanno is an academic researcher from INAF. The author has contributed to research in topics: Silicon photomultiplier & Cherenkov Telescope Array. The author has an hindex of 30, co-authored 166 publications receiving 4922 citations. Previous affiliations of Giovanni Bonanno include STMicroelectronics & University of Catania.

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Journal ArticleDOI

Design concepts for the Cherenkov Telescope Array CTA: An advanced facility for ground-based high-energy gamma-ray astronomy

Marcos Daniel Actis, +685 more
TL;DR: The ground-based gamma-ray astronomy has had a major breakthrough with the impressive results obtained using systems of imaging atmospheric Cherenkov telescopes as mentioned in this paper, which is an international initiative to build the next generation instrument, with a factor of 5-10 improvement in sensitivity in the 100 GeV-10 TeV range and the extension to energies well below 100GeV and above 100 TeV.
Journal ArticleDOI

Introducing the CTA concept

B. S. Acharya, +982 more
TL;DR: The Cherenkov Telescope Array (CTA) as discussed by the authors is a very high-energy (VHE) gamma ray observatory with an international collaboration with more than 1000 members from 27 countries in Europe, Asia, Africa and North and South America.
MonographDOI

Science with the Cherenkov Telescope Array

B. S. Acharya, +580 more
TL;DR: The Cherenkov Telescope Array (CTA) as mentioned in this paper is the major global observatory for very high energy gamma-ray astronomy over the next decade and beyond, covering a huge range in photon energy from 20 GeV to 300 TeV.
Journal ArticleDOI

High-frequency cross-correlation in a set of stocks

TL;DR: In this article, the authors investigated the high-frequency cross-correlation existing between pairs of stocks traded in a financial market and investigated the hierarchical organization of the investigated stocks by determining a metric distance between stocks and by investigating the properties of the subdominant ultrametric associated with it.
Posted Content

High-frequency Cross-correlation in a Set of Stocks

TL;DR: In this paper, the authors investigated the high-frequency cross-correlation existing between pairs of stocks traded in a financial market and investigated the hierarchical organization of the investigated stocks by determining a metric distance between stocks and by investigating the properties of the subdominant ultrametric associated with it.