Cuoco, E. - Resultados da pesquisa - CERN Document Server

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ESCAPE - addressing Open Science challenges / Allen, Mark G. (Strasbourg Observ.) ; Lamanna, Giovanni (Annecy, LAPP) ; Espinal, Xavier (CERN) ; Graf, Kay (Erlangen - Nuremberg U., ECAP) ; van Haarlem, Michiel (ASTRON, Dwingeloo) ; Serjeant, Stephen (Open U., England) ; Bird, Ian (Annecy, LAPP) ; Cuoco, Elena (Pisa, Scuola Normale Superiore) ; Wagh, Jayesh (Annecy, LAPP)
ESCAPE (European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures) is an EU H2020 project that addresses the Open Science challenges shared by the astrophysics and and accelerator-based physics and nuclear physics ESFRI projects and landmarks. This project is embedded in the context of the European Open Science Cloud (EOSC) and involves activities to develop a prototype Data Lake and Science Platform, as well as support of an Open Source Software Repository, connection of the Virtual Observatory framework to EOSC, and engaging the public in citizen science. [...]
arXiv:2012.11534.- 2022 - 4 p. - Published in : Astron. Soc. Pac. Conf. Proc.: 532 (2022) , pp. 113 Fulltext: PDF; External link: Astronomical Society of the Pacific
In : 30th Astronomical Data Analysis Software and Systems, Granada, Spain, 8 - 12 Nov 2020, pp.113

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Tests of General Relativity with GWTC-3 / LIGO Scientific Collaboration
The ever-increasing number of detections of gravitational waves (GWs) from compact binaries by the Advanced LIGO and Advanced Virgo detectors allows us to perform ever-more sensitive tests of general relativity (GR) in the dynamical and strong-field regime of gravity. [...]
arXiv:2112.06861 ; LIGO-P2100275. - 41 p.
Fulltext

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Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO’s and Advanced Virgo’s Third Observing Run / LIGO Scientific Collaboration
We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2 $M_\odot$ and 1.0 $M_\odot$ in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio $q \geq 0.1$. [...]
arXiv:2109.12197; LIGO-P2100163-v8.- 2022-08-05 - 16 p. - Published in : Phys. Rev. Lett. 129 (2022) 061104 Fulltext: PDF;

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The ESCAPE Dark Matter Test Science Project / Cuoco, Elena (Lund U. (main)) ; Doglioni, Caterina (Pisa, Scuola Normale Superiore ; EGO, Pisa) ; Graf, Kay (Annecy, LAPP ; Savoie U. (main)) ; Lamanna, Giovanni (CERN) ; Meehan, Samuel Ross
A Dark Matter Science Project is being developed in the context of the ESCAPE project (https://projectescape.eu). The goal of this ESCAPE Test Science Project is to highlight the synergies between different communities and experiments searching for dark matter by producing new results and making the necessary data and software tools fully available, in particular focusing on data management, data analysis and computing. [...]
SISSA, 2021 - 4 p. - Published in : PoS TOOLS2020 (2021) 029 Fulltext: PDF;
In : Tools for High Energy Physics and Cosmology, Lyon, France, 2 - 6 Nov 2020, pp.029

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First joint observation by the underground gravitational-wave detector KAGRA with GEO 600 / KAGRA Collaboration
We report the results of the first joint observation of the KAGRA detector with GEO600. KAGRA is a cryogenic and underground gravitational-wave detector consisting of a laser interferometer with three-kilometer arms, and located in Kamioka, Gifu, Japan. [...]
arXiv:2203.01270; LIGO-P2100286.- 2022-06-14 - 37 p. - Published in : PTEP 2022 (2022) 063F01 Fulltext: 2203.01270 - PDF; document - PDF;

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Machine learning applications in Gravitational Wave research to classify transient signals / Cuoco, Elena (speaker) (EGO-European Gravitational Observatory)
Most of the data collected by Gravitational Wave (GW) interferometers are essentially background noise containing many noise transient signals, which has to be analyzed in a fast and efficient way to increase the detection confidence and to obtain information about likely noise sources. Characterizing the noise transient signals (glitches) is an important task to reduce the impact of transient noise on the detectors. Inspecting glitches manually is a time-consuming and error-prone task and the increase of sensitivity in advanced detectors will lead to more classes of glitches. [...]
2019 - 2997. EP-IT Data science seminars External link: Event details In : Machine learning applications in Gravitational Wave research to classify transient signals

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First joint Gravitational Waves search by the AURIGA-EXPLORER-NAUTILUS-Virgo collaboration / AURIGA-EXPLORER-NAUTILUS-Virgo Collaboration
We present results of the search for coincident burst excitations over a 24 hours long data set collected by AURIGA, EXPLORER, NAUTILUS and Virgo detectors during September 2005. The search of candidate triggers was performed independently on each of the data sets from single detectors. [...]
arXiv:0710.3752.- 2008 - 23 p. - Published in : Class. Quantum Gravity 25 (2008) 205007 Fulltext: PDF; External link: Fulltext

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Veja também: nomes de autores similares
78	Cuoco, E
6	Cuoco, Elena

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