Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Matteo Calabrese"'
Autor:
Pierre Auclair, David Bacon, Tessa Baker, Tiago Barreiro, Nicola Bartolo, Enis Belgacem, Nicola Bellomo, Ido Ben-Dayan, Daniele Bertacca, Marc Besancon, Jose J. Blanco-Pillado, Diego Blas, Guillaume Boileau, Gianluca Calcagni, Robert Caldwell, Chiara Caprini, Carmelita Carbone, Chia-Feng Chang, Hsin-Yu Chen, Nelson Christensen, Sebastien Clesse, Denis Comelli, Giuseppe Congedo, Carlo Contaldi, Marco Crisostomi, Djuna Croon, Yanou Cui, Giulia Cusin, Daniel Cutting, Charles Dalang, Valerio De Luca, Walter Del Pozzo, Vincent Desjacques, Emanuela Dimastrogiovanni, Glauber C. Dorsch, Jose Maria Ezquiaga, Matteo Fasiello, Daniel G. Figueroa, Raphael Flauger, Gabriele Franciolini, Noemi Frusciante, Jacopo Fumagalli, Juan García-Bellido, Oliver Gould, Daniel Holz, Laura Iacconi, Rajeev Kumar Jain, Alexander C. Jenkins, Ryusuke Jinno, Cristian Joana, Nikolaos Karnesis, Thomas Konstandin, Kazuya Koyama, Jonathan Kozaczuk, Sachiko Kuroyanagi, Danny Laghi, Marek Lewicki, Lucas Lombriser, Eric Madge, Michele Maggiore, Ameek Malhotra, Michele Mancarella, Vuk Mandic, Alberto Mangiagli, Sabino Matarrese, Anupam Mazumdar, Suvodip Mukherjee, Ilia Musco, Germano Nardini, Jose Miguel No, Theodoros Papanikolaou, Marco Peloso, Mauro Pieroni, Luigi Pilo, Alvise Raccanelli, Sébastien Renaux-Petel, Arianna I. Renzini, Angelo Ricciardone, Antonio Riotto, Joseph D. Romano, Rocco Rollo, Alberto Roper Pol, Ester Ruiz Morales, Mairi Sakellariadou, Ippocratis D. Saltas, Marco Scalisi, Kai Schmitz, Pedro Schwaller, Olga Sergijenko, Geraldine Servant, Peera Simakachorn, Lorenzo Sorbo, Lara Sousa, Lorenzo Speri, Danièle A. Steer, Nicola Tamanini, Gianmassimo Tasinato, Jesús Torrado, Caner Unal, Vincent Vennin, Daniele Vernieri, Filippo Vernizzi, Marta Volonteri, Jeremy M. Wachter, David Wands, Lukas T. Witkowski, Miguel Zumalacárregui, James Annis, Fëanor Reuben Ares, Pedro P. Avelino, Anastasios Avgoustidis, Enrico Barausse, Alexander Bonilla, Camille Bonvin, Pasquale Bosso, Matteo Calabrese, Mesut Çalışkan, Jose A. R. Cembranos, Mikael Chala, David Chernoff, Katy Clough, Alexander Criswell, Saurya Das, Antonio da Silva, Pratika Dayal, Valerie Domcke, Ruth Durrer, Richard Easther, Stephanie Escoffier, Sandrine Ferrans, Chris Fryer, Jonathan Gair, Chris Gordon, Martin Hendry, Mark Hindmarsh, Deanna C. Hooper, Eric Kajfasz, Joachim Kopp, Savvas M. Koushiappas, Utkarsh Kumar, Martin Kunz, Macarena Lagos, Marc Lilley, Joanes Lizarraga, Francisco S. N. Lobo, Azadeh Maleknejad, C. J. A. P. Martins, P. Daniel Meerburg, Renate Meyer, José Pedro Mimoso, Savvas Nesseris, Nelson Nunes, Vasilis Oikonomou, Giorgio Orlando, Ogan Özsoy, Fabio Pacucci, Antonella Palmese, Antoine Petiteau, Lucas Pinol, Simon Portegies Zwart, Geraint Pratten, Tomislav Prokopec, John Quenby, Saeed Rastgoo, Diederik Roest, Kari Rummukainen, Carlo Schimd, Aurélia Secroun, Alberto Sesana, Carlos F. Sopuerta, Ismael Tereno, Andrew Tolley, Jon Urrestilla, Elias C. Vagenas, Jorinde van de Vis, Rien van de Weygaert, Barry Wardell, David J. Weir, Graham White, Bogumiła Świeżewska, Valery I. Zhdanov, The LISA Cosmology Working Group
Publikováno v:
Living Reviews in Relativity, Vol 26, Iss 1, Pp 1-254 (2023)
Abstract The Laser Interferometer Space Antenna (LISA) has two scientific objectives of cosmological focus: to probe the expansion rate of the universe, and to understand stochastic gravitational-wave backgrounds and their implications for early univ
Externí odkaz:
https://doaj.org/article/cb0550dff7cf4f0d9707d25befc457fc
Autor:
Jordy Bollon, Michela Assale, Andrea Cina, Stefano Marangoni, Matteo Calabrese, Chiara Beatrice Salvemini, Jean Marc Christille, Stefano Gustincich, Andrea Cavalli
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4247 (2022)
Advances in next-generation sequencing have provided high-dimensional RNA-seq datasets, allowing the stratification of some tumor patients based on their transcriptomic profiles. Machine learning methods have been used to reduce and cluster high-dime
Externí odkaz:
https://doaj.org/article/7757fa134304428887647a258c5f8a0d
Autor:
Matteo Calabrese, Martin Cimmino, Francesca Fiume, Martina Manfrin, Luca Romeo, Silvia Ceccacci, Marina Paolanti, Giuseppe Toscano, Giovanni Ciandrini, Alberto Carrotta, Maura Mengoni, Emanuele Frontoni, Dimos Kapetis
Publikováno v:
Information, Vol 11, Iss 4, p 202 (2020)
Predictive Maintenance (PdM) is a prominent strategy comprising all the operational techniques and actions required to ensure machine availability and to prevent a machine-down failure. One of the main challenges of PdM is to design and develop an em
Externí odkaz:
https://doaj.org/article/a465b8bf09a64554a9b26b3e1b8f8144
Autor:
Marco Alderighi, Consuelo R. Nava, Matteo Calabrese, Jean-Marc Christille, Chiara B. Salvemini
Publikováno v:
Journal of Business Research. 145:769-783
Publikováno v:
Italian Economic Journal. Springer
Due to a lack of historical data, there is a gap in the literature with regard to total factor productivity (TFP) series in the long run for Italy. In this article, by combing information from the literature, original TFP estimates assessed with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7211017e123a6c6fbcf60ced5213610
https://pure.knaw.nl/portal/en/publications/865ca772-b9af-45fd-86aa-af6fc82eeb59
https://pure.knaw.nl/portal/en/publications/865ca772-b9af-45fd-86aa-af6fc82eeb59
This work presents a set of coupled Boltzmann equations describing the intensity and polarisation Stokes parameters of the SGWB. Collision terms, which account for gravitational Compton scattering off of massive objects, are also included. This set r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f4043a1a1427ec3bc45e7fd2c242ae0
http://arxiv.org/abs/2208.02800
http://arxiv.org/abs/2208.02800
Publikováno v:
Historical Methods, 55(2), 78-97
Historical Methods: A Journal of Quantitative and Interdisciplinary History, 55(2). Routledge
Historical Methods 55 (2022) 2
Historical Methods: A Journal of Quantitative and Interdisciplinary History, 55(2). Routledge
Historical Methods 55 (2022) 2
A lack of regional data on the occupational structure in England and Wales during the interwar years has so far prevented extensive study of this time period. In the current paper, we fill this gap by reconstructing the occupational structure at the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bc22727aa14d28809672c7e9c0300ab
https://research.wur.nl/en/publications/the-regional-occupational-structure-in-interwar-england-and-wales
https://research.wur.nl/en/publications/the-regional-occupational-structure-in-interwar-england-and-wales
Autor:
Giuseppe Toscano, Giovanni Ciandrini, Francesca Fiume, Matteo Calabrese, Luca Romeo, Dimos Kapetis, Maura Mengoni, Martina Manfrin, Silvia Ceccacci, Martin Cimmino, Emanuele Frontoni, Marina Paolanti, Alberto Carrotta
Publikováno v:
Information, Vol 11, Iss 202, p 202 (2020)
Information
Volume 11
Issue 4
Information
Volume 11
Issue 4
Predictive Maintenance (PdM) is a prominent strategy comprising all the operational techniques and actions required to ensure machine availability and to prevent a machine-down failure. One of the main challenges of PdM is to design and develop an em
Autor:
Sture Lygren, Daniele Vanzan, Stefano Carminati, Gabriella Esposito, Martin Cimmino, Matteo Calabrese, Dimos Kapetis, Alfonso Amendola, Lorenzo Raimondi, Marco Piantanida
Publikováno v:
Day 2 Tue, January 14, 2020.
Condition-based monitoring is a key element to minimize plant upsets and production losses, guaranteeing at the same time safety and asset integrity, with the final goal of improving operational excellence. A key challenge for this purpose is the cap
Autor:
Pablo Fosalba, Baojiu Li, Sownak Bose, Alexandre Barreira, Carmelita Carbone, Giulio Fabbian, Claudio Llinares, Stefan Hilbert, Matteo Calabrese, Christopher Davies, Pierluigi Monaco, Carlo Giocoli
Publikováno v:
Mon.Not.Roy.Astron.Soc.
Mon.Not.Roy.Astron.Soc., 2020, 493 (1), pp.305-319. ⟨10.1093/mnras/staa281⟩
Monthly notices of the Royal Astronomical Society, 2020, Vol.493(1), pp.305-319 [Peer Reviewed Journal]
Digital.CSIC. Repositorio Institucional del CSIC
instname
Monthly Notices of the Royal Astronomical Society
Mon.Not.Roy.Astron.Soc., 2020, 493 (1), pp.305-319. ⟨10.1093/mnras/staa281⟩
Monthly notices of the Royal Astronomical Society, 2020, Vol.493(1), pp.305-319 [Peer Reviewed Journal]
Digital.CSIC. Repositorio Institucional del CSIC
instname
Monthly Notices of the Royal Astronomical Society
We investigate the accuracy of weak lensing simulations by comparing the results of five independently developed lensing simulation codes run on the same input N-body simulation. Our comparison focuses on the lensing convergence maps produced by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bd7e284acc6479c80ad8410944a9e26
https://hal.archives-ouvertes.fr/hal-02418295
https://hal.archives-ouvertes.fr/hal-02418295