Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/32594
Title: | Site-selection criteria for the Einstein Telescope | Authors: | Amann, Florian Bonsignorio, Fabio Bulik, Tomasz Bulten, Henk Jan Cuccuru, Stefano Dassargues, Alain DeSalvo, Riccardo Fenyvesi, Edit Fidecaro, Francesco Fiori, Irene Giunchi, Carlo GRADO, ANIELLO Harms, Jan Koley, Soumen Kovács, László Losurdo, Giovanni Mandic, Vuk Meyers, Patrick Naticchioni, Luca Nguyen, Frédéric Oggiano, Giacomo OLIVIERI, MARCO Paoletti, Federico Paoli, Andrea Plastino, Wolfango Razzano, Massimiliano Ruggi, Paolo Saccorotti, Gilberto Sintes, Alicia M. Somlai, László Ván, Peter Vasúth, Matyas |
Issue Date: | 2020 | Journal: | REVIEW OF SCIENTIFIC INSTRUMENTS | Number: | 91 | Issue: | 9 | First Page: | 094504 | Abstract: | The Einstein Telescope (ET) is a proposed next-generation, underground gravitational-wave detector to be based in Europe. It will provide about an order of magnitude sensitivity increase with respect to the currently operating detectors and, also extend the observation band targeting frequencies as low as 3 Hz. One of the first decisions that needs to be made is about the future ET site following an in-depth site characterization. Site evaluation and selection is a complicated process, which takes into account science, financial, political, and socio-economic criteria. In this paper, we provide an overview of the site-selection criteria for ET, provide a formalism to evaluate the direct impact of environmental noise on ET sensitivity, and outline the necessary elements of a site-characterization campaign. | URI: | http://hdl.handle.net/20.500.12386/32594 | URL: | https://aip.scitation.org/doi/10.1063/5.0018414 http://arxiv.org/abs/2003.03434v2 |
ISSN: | 0034-6748 | DOI: | 10.1063/5.0018414 | Bibcode ADS: | 2020RScI...91i4504A | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
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File | Description | Size | Format | |
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2003.03434.pdf | preprint | 970.41 kB | Adobe PDF | View/Open |
Amann_Site-selection+criteria_2020.pdf | [Administrators only] | 2.37 MB | Adobe PDF |
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